CN117286930A

CN117286930A - Water supply system, abnormality processing method thereof, storage medium, and program product

Info

Publication number: CN117286930A
Application number: CN202311296117.4A
Authority: CN
Inventors: 徐荣榕; 周梦雪; 孙怡琳; 邹俊慧; 唐治宇; 潘雯雯
Original assignee: Wuxi Huitian Water Technology Co ltd
Current assignee: Wuxi Huitian Water Technology Co ltd
Priority date: 2023-10-08
Filing date: 2023-10-08
Publication date: 2023-12-26

Abstract

The application provides a water supply system and an abnormality processing method, a storage medium and a program product thereof, wherein the water supply system comprises: the system comprises water supply equipment, a plurality of sensors, a main control module and a communication module; the main control module is configured to: monitoring a water supply pipeline and water supply equipment by using a sensor to acquire operation information, and determining the operation state of the water supply system according to the operation information; when the running state indicates that the water supply system is abnormal, the running information is used as first state information, and state prompt information comprising the first state information is sent to user equipment through a communication module; when the running state indicates the abnormal elimination of the water supply system, acquiring maintenance information generated in the abnormal elimination process of the water supply system; and taking the first state information and the maintenance information as information to be analyzed, and sending the information to user equipment through a communication module. The problem of water supply system fault handling's inefficiency has been solved to this application.

Description

Water supply system, abnormality processing method thereof, storage medium, and program product

Technical Field

The present application relates to the field of secondary water supply technology, and in particular, to a water supply system, an abnormality processing method thereof, a computer readable storage medium, and a computer program product.

Background

Urban water supply is an important civil engineering, and the physical health and social stability of the masses of the people of the civil authorities are guaranteed. The system and the method comprehensively strengthen the urban water supply work, promote the high-quality development of the urban water supply, continuously strengthen the water supply safety guarantee capability, meet the increasingly beautiful living needs of people and are the current important task. In order to further improve the urban water supply safety guarantee level, a perfect urban water supply complete flow guarantee system and a basic healthy urban water supply emergency system are established, intelligent reconstruction of water supply facilities is enhanced, updating and reconstruction are encouraged to build intelligent sensing equipment, an urban water supply Internet of things and an operation scheduling platform are built, functions of dynamic update of facility base numbers, real-time monitoring of operation states, simulation prediction of risk situations, auxiliary support of optimized scheduling and the like are realized, and the refinement level of water supply facility operation is continuously improved.

In general, when a water supply system fails, an alarm device (such as a buzzer, a warning lamp) or the like on site is used for warning so that a user can check and maintain the water supply system. The maintenance personnel may not always be on site. When maintenance personnel are not on site or are at a certain distance from the site, the efficiency of the fault treatment of the water supply system can be affected, and the downtime of the water supply system is prolonged.

Based on this, the present application provides a water supply system and an abnormality processing method thereof, a computer-readable storage medium, a computer program product, to improve the related art.

Disclosure of Invention

The invention aims to provide a water supply system, an abnormality processing method thereof, a computer readable storage medium and a computer program product, wherein a main control module provides operation information for a user when the water supply system is abnormal, and provides information to be analyzed for the user when the abnormality is eliminated, so that the problem of low failure processing efficiency of the water supply system is solved.

The purpose of the application is realized by adopting the following technical scheme:

in a first aspect, the present application provides a water supply system comprising:

a water supply device for supplying water to the water supply line;

a plurality of sensors respectively provided to the water supply line and the water supply device;

the control module is respectively and electrically connected with each sensor and the water supply equipment and is used for generating a water supply signal according to the water pressure of the water supply pipeline so that the water supply equipment supplies water to the water supply pipeline according to the water supply signal;

the water supply system further includes:

the communication module is electrically connected with the main control module and is used for carrying out one or more of 3G communication, 4G communication and 5G communication with the user equipment;

The main control module is configured to:

monitoring the water supply pipeline and the water supply equipment by using a sensor to acquire operation information, and determining the operation state of the water supply system according to the operation information, wherein the operation information is used for indicating the water pressure of the water supply pipeline and the operation condition of the water supply equipment;

when the running state indicates that the water supply system is abnormal, the running information is used as first state information, and state prompt information comprising the first state information is sent to the user equipment through the communication module;

when the running state indicates the abnormality elimination of the water supply system, acquiring maintenance information generated in the abnormality elimination process of the water supply system;

and taking the first state information and the maintenance information as information to be analyzed, and sending the information to the user equipment through the communication module.

The technical scheme has the beneficial effects that the water supply pipeline and the water supply equipment can be monitored in real time through the sensor, the abnormality can be found in time and the user can be informed, the real-time monitoring and the notification are realized, and the real-time performance and the reliability of the water supply system are improved. By sending the state prompt information to the user equipment, the user can conveniently and rapidly respond to the abnormal condition of the water supply system, so that the water supply safety is improved. The maintenance information is acquired to help record maintenance measures taken by a user, so that the maintenance efficiency in the subsequent similar situation is improved. At the same time, the resulting repair information can be used to predict possible future failures, helping to implement preventive maintenance planning, reducing downtime. Through the communication module supporting 3G, 4G and 5G communication, the user can monitor and manage the water supply system remotely, and compared with the situation that the fault of the water supply system is known in a wired mode, the remote control capability is enhanced.

In summary, the technical solution of the present embodiment implements real-time monitoring, abnormality notification and maintenance information acquisition after abnormality notification of the water supply system by comprehensively using the sensor, the main control module and the communication module, thereby improving reliability and maintenance efficiency of the water supply system.

In some alternative embodiments, the operational information includes line water pressure data and plant operational data;

the main control module is further configured to determine an operational status of the water supply system from the operational information using:

inputting the equipment operation data into an operation scoring model to obtain operation scores corresponding to the equipment operation data;

when the operation score is smaller than a preset score, acquiring the corresponding relation between the pipeline water pressure data and the abnormal grade;

and according to the corresponding relation, acquiring an abnormal grade corresponding to the current pipeline water pressure data and taking the abnormal grade as a current abnormal grade, wherein the current abnormal grade is used for indicating the running state of the water supply system.

The technical scheme has the advantages that by means of the method, attention can be focused on the situation that the problem is possibly estimated to exist, other data can be deeply analyzed only when abnormal scores are generated, resources can be focused at the place where the resources are needed most, and efficiency is improved. By using the operation scoring model, the operation condition of the equipment can be automatically evaluated, and the burden of manual intervention is reduced. When an abnormality is detected, a user can quickly learn about the problem and take measures in time by sending state prompt information, so that the perceptibility of the user to the system state is improved. The abnormal grade information is acquired, so that a user can formulate a more accurate maintenance strategy, and the maintenance efficiency is improved. It is generally considered that, acquiring the corresponding relation between the pipeline water pressure data and the abnormal grade requires invoking the storage resource to perform a certain amount of calculation, and the corresponding resource can be allocated when needed by triggering the process when the equipment operation score is lower than the preset score, so that the method has the advantage of resource optimization. In this way, it is possible to concentrate on the situation where it has been estimated that there is a possibility of a problem, and to analyze other data deeply only when an abnormal score is generated, contributing to concentrating resources where they are most needed, improving efficiency.

In some alternative embodiments, when the run score is less than a preset score, the master control module is further configured to:

acquiring maintenance strategy information of the water supply system based on the equipment operation data, wherein the maintenance strategy information is used for indicating a guiding strategy for a user to maintain the water supply system;

and sending the maintenance strategy information to the user equipment through the communication module.

The technical scheme has the advantages that the maintenance strategy information is timely generated and sent, so that a user can be helped to respond to the abnormal condition of the equipment more quickly, and the downtime is reduced. Based on the detailed equipment operational data, the maintenance strategy information may provide more accurate, specific, and personalized maintenance guidance, helping users to more effectively solve the problem. By providing an accurate maintenance strategy, the user can be more specifically assisted in maintenance, reducing unnecessary maintenance steps, and thus reducing maintenance costs. By providing maintenance policy information to the user, the user may be considered encouraged to learn more about the operating condition of the device, improving the user's engagement with the device.

In summary, the technical scheme provided by the embodiment combines the equipment operation data and the maintenance strategy generation to realize quick response and accurate maintenance guidance on equipment abnormality, thereby improving maintainability and user satisfaction of the water supply system.

In some alternative embodiments, the device operational data includes data of not less than one of temperature, voltage, current, and power of the water supply device, and the main control module is further configured to obtain maintenance strategy information for the water supply system using:

respectively detecting a first difference value between each datum in the equipment operation data and a preset value corresponding to the datum;

deleting the data with the first difference value not larger than a preset difference value from the equipment operation data;

and inputting the deleted equipment operation data into a strategy recommendation model to obtain maintenance strategy information corresponding to the water supply system.

The technical scheme has the beneficial effects that abnormal data with larger difference from the expected data can be intelligently detected by comparing the actual equipment operation data with the preset value. And deleting the normal data close to the preset value, so that false alarm caused by normal fluctuation is reduced, and the accuracy of abnormality detection is improved. After the abnormal data is deleted, the data pushed to the strategy recommendation model is cleaner, and the accuracy of the fine maintenance suggestion of the model can be improved. Only the abnormal data is sent to the strategy recommendation model, so that the use of computing resources is reduced, and the efficiency is improved. By pushing only the critical exception information, the user can understand the information more easily when receiving the maintenance policy information, and the user experience is improved.

In some alternative embodiments, the system further comprises a slave control module electrically connected to the master control module and the communication module, respectively, the slave control module configured to:

when the slave control module and the master control module are electrified, timing is performed;

when the timing duration is not less than the preset duration and the running state does not indicate that the water supply system is abnormal, sending preset simulation running information to a main control module;

acquiring operation information generated by the main control module according to the simulation operation information and taking the operation information as second state information;

and when the second state information is checked to be incorrect, judging that the main control module fails and generating failure early warning information, and sending the failure early warning information to the user equipment.

The technical scheme has the beneficial effects that the running state of the main control module can be monitored in real time by periodically sending the simulation running information and the verification feedback, and potential faults can be found in time. When the operation state of the main control module is abnormal (verification is not passed), the fault early warning information is automatically generated from the control module, so that the dependence on manual intervention is reduced. By periodically detecting the operation state of the main control module, potential faults can be found earlier, corresponding measures are taken, and the reliability and stability of the water supply system are improved. Timely fault early warning can enable maintenance personnel to respond to the problems more quickly, and the downtime of the water supply system is reduced. The fault early warning information is sent to the user equipment through the communication module, so that the user can know the state of the system in time, and the perception of the user on the running condition of the water supply system is improved.

In some optional embodiments, the method for verifying the second state information includes:

acquiring corresponding simulation state information according to the simulation operation information;

and verifying the second state information by using the simulation state information.

The technical scheme has the beneficial effects that whether the main control module can correctly generate expected state information can be automatically detected through comparing the simulation running information and the simulation state information, so that automatic fault detection is realized. By periodically simulating and checking the state information, the abnormality of the main control module can be found earlier, and the reliability and stability of the water supply system are improved. By comparing the actual state information with the analog state information, false alarms caused by normal fluctuation and other reasons can be reduced, and the accuracy of abnormality detection is improved. When the main control module is found to possibly have faults, fault early warning information can be timely generated to inform a user, and timely measures are helpful to be taken to solve the problems.

In summary, according to the technical scheme, through comparison of the simulation operation information and the simulation state information, automatic monitoring and fault detection of the operation state of the main control module are realized, and maintainability and user satisfaction of the water supply system are improved.

In some alternative embodiments, the slave control module is further configured to:

and when the second state information is checked to be incorrect, resetting the main control module.

The technical scheme has the beneficial effects that when the main control module fails, the normal operation of the main control module can be recovered through automatic reset processing operation, so that the dependence on manual intervention is reduced. The automatic reset processing can quickly take action when the fault of the main control module is found, so that the risk of shutdown of the water supply system is reduced, and the reliability of the water supply system is improved. Automatic fault recovery reduces reliance on maintenance personnel, especially in remote or unattended environments, reducing maintenance costs. The above-described fault recovery can be considered to be triggered in real-time, reducing the impact of the fault on the operation of the water supply system.

In summary, through the automatic reset processing, the automatic recovery of the failure of the main control module can be realized, and the robustness and stability of the water supply system are improved.

In a second aspect, the present application further provides a method for exception handling in a water supply system, the method comprising:

monitoring a water supply pipeline and water supply equipment by using a sensor to acquire operation information, and determining the operation state of a water supply system according to the operation information, wherein the operation information is used for indicating the water pressure of the water supply pipeline and the operation condition of the water supply equipment;

When the running state indicates that the water supply system is abnormal, the running information is used as first state information, and state prompt information comprising the first state information is sent to user equipment through a communication module of the water supply system;

the method for determining the operation state of the water supply system according to the operation information comprises the following steps:

In some alternative embodiments, when the running score is less than a preset score, the method further comprises:

In some alternative embodiments, the device operational data includes data of not less than one of temperature, voltage, current, and power of the water supply device;

the method for acquiring the maintenance strategy information of the water supply system comprises the following steps:

In some alternative embodiments, the method further comprises:

when the slave control module and the master control module are electrified, timing is performed by using the slave control module;

When the timing duration is not less than the preset duration and the running state does not indicate the abnormality of the water supply system, the slave control module is utilized to send preset simulation running information to the master control module;

acquiring operation information generated by the main control module according to the simulation operation information by using the slave control module, and taking the operation information as second state information;

In some alternative embodiments, the slave control module is used to perform a reset process on the master control module when the second status information is verified to be incorrect.

In a third aspect, the present application also provides a computer-readable storage medium storing a computer program which, when executed by at least one processor, implements the steps of the method of the second aspect.

In a fourth aspect, the present application also provides a computer program product comprising a computer program which, when executed by at least one processor, implements the steps of the method of the third aspect.

Drawings

The present application is further described below with reference to the drawings and examples.

Fig. 1 is a block diagram of a water supply system according to an embodiment of the present application.

Fig. 2 is a block diagram of another water supply system according to an embodiment of the present application.

Fig. 3 is a flow chart of an abnormality processing method of a water supply system according to an embodiment of the present application.

Fig. 4 is a schematic structural diagram of a computer program product according to an embodiment of the present application.

Detailed Description

The technical solutions in the present application will be described below with reference to the drawings and the specific embodiments in the specification of the present application, and it should be noted that, on the premise of no conflict, new embodiments may be formed by any combination of the embodiments or technical features described below. The words expressing positions and directions in the embodiments of the present application are described by taking the drawings as examples, but can be changed according to the needs, and all the changes are included in the protection scope of the present invention.

In the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as examples, illustrations, or descriptions. Any implementation or design described as "exemplary" or "e.g." in the examples of this application should not be construed as preferred or advantageous over other implementations or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

The first, second, etc. descriptions in the embodiments of the present application are only used for illustration and distinction of description objects, and no order division, nor does it represent a particular limitation on the number in the embodiments of the present application, nor should it constitute any limitation on the embodiments of the present application.

The technical fields and related terms of the embodiments of the present application are briefly described as follows.

Machine Learning (ML) is a multi-domain interdisciplinary, involving multiple disciplines such as probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory, etc. The computer program may learn experience E given a certain class of tasks T and performance metrics P, and increase with experience E if its performance in task T happens to be measured by P. Machine learning is specialized in studying how a computer simulates or implements learning behavior of a human to acquire new knowledge or skills, reorganizing existing knowledge structures to continually improve its own performance. Machine learning is the core of artificial intelligence, a fundamental approach to letting computers have intelligence, which is applied throughout various areas of artificial intelligence.

Deep learning is a special machine learning by which large functions and flexibilities are represented and realized using a hierarchy of nested concepts, each defined as being associated with a simple concept, while a more abstract representation is computed in a less abstract way. Machine learning and deep learning typically include techniques such as artificial neural networks, belief networks, reinforcement learning, transfer learning, induction learning, teaching learning, and the like.

Secondary water supply refers to a process of treating and distributing raw water supplied from a water source to meet various uses and demands in a building or industrial production. After entering a building or production facility from a tap water pipeline or other water source, the raw water is subjected to a series of treatments, storages and distribution to become a water source meeting specific requirements, and finally is supplied to various uses in the building.

In general, a secondary water supply system is controlled by a PLC (programmable logic controller), which is a device dedicated to controlling an automation system. In a secondary water supply system, the PLC can be used for controlling and coordinating different working steps, such as starting and stopping of a water pump, monitoring and controlling of the water level of a water tank, opening and closing of a valve and the like. PLCs are typically programmed to implement logic control for various parts of the system. In the process of secondary water supply, the interference signal can cause impact to the normal operation of the PLC, even the PLC is halted once the PLC is halted, the operation of the whole set of secondary water supply system can become uncontrollable, and sometimes accidents such as water cut-off, overpressure water supply and the like can be caused even. The interfering signal is, for example, some uncontrolled external signal or noise, possibly from electromagnetic interference, electromagnetic wave radiation, power supply fluctuations, spikes or surges caused by electrical equipment switches, etc. These signals may adversely affect the proper operation of the PLC (programmable logic controller) and other electronic devices.

When the water supply system fails, the water supply system can be checked and maintained by a user through an on-site alarm device (such as a buzzer and a warning lamp) and the like, but the efficiency is low. Meanwhile, the work done by the user (such as on-site maintenance personnel) for the restoration of the water supply system is only recorded on site, which is not beneficial to the classification of maintenance information by the user.

Based on this, the present application provides a water supply system and an abnormality processing method thereof, a computer-readable storage medium, a computer program product to improve the above-described related art. The following detailed description will specifically describe the technical solutions of the embodiments of the present application and how the technical solutions of the embodiments of the present application solve the above technical problems, and it should be noted that, any combination between the embodiments or between the technical features described below may be formed into new embodiments, and the description sequence of the embodiments below is not limited to the preferred sequence of the embodiments, and may not be repeated in some embodiments for the same or similar concepts or processes. It will be apparent that the described embodiments are some, but not all, of the embodiments of the present application.

Water supply system embodiments.

Referring to fig. 1, fig. 1 is a block diagram of a water supply system according to an embodiment of the present application.

The application provides a water supply system, including:

a water supply device for supplying water to the water supply line;

and the communication module is electrically connected with the main control module and is used for carrying out one or more of 3G communication, 4G communication and 5G communication with the user equipment.

The main control module is configured to:

The main control module is electrically connected with each sensor and the water supply equipment, can generate a water supply signal according to the water pressure of the water supply pipeline, and controls the water supply equipment to supply water to the water supply pipeline according to the signal. The master control module may include any one of a PLC, a Programmable Automation Controller (PAC), or a microcontroller, which is not limited in this application. The main control module monitors the water supply pipeline and the water supply equipment by using the sensors to acquire operation information. The operation information includes the water pressure of the water supply line and the operation condition of the water supply device, that is, the sensor is, for example, a pressure sensor for monitoring the water pressure in the water supply line, a flow sensor for measuring the flow of water, a temperature sensor for measuring the temperature of water, a current sensor for monitoring the current of a water pump, a motor, or the like, and the application is not limited. And determining the operation state of the water supply system according to the operation information. If the running state indicates abnormality, the main control module takes the running information as first state information. When the running state indicates that the water supply system is abnormal, the main control module sends state prompt information comprising first state information to the user equipment through the communication module, so that the user can know the abnormal condition of the water supply system in time. Generally, the user is a maintenance or management of the water supply system.

When the operation state indicates that the abnormality of the water supply system is resolved, the main control module acquires maintenance information generated in the abnormality elimination process, the maintenance information including, for example: fault diagnosis record describing the fault diagnosis process of the water supply system when abnormality occurs; maintenance records recording specific maintenance steps and measures taken during the exception resolution process, which may include replacement of damaged parts, adjustment of equipment parameters, recalibration of sensors, etc.; maintenance personnel information, information of personnel performing maintenance work, including name, job number, etc., is recorded.

The main control module combines the first state information and the maintenance information into information to be analyzed, and sends the information to the user equipment through the communication module, so that the user can know the reason of abnormality and the measures adopted in the maintenance process.

The water supply pipeline and the water supply equipment can be monitored in real time through the sensor, so that the abnormality can be found in time and the user can be informed, the real-time monitoring and informing are realized, and the real-time performance and the reliability of the water supply system are improved. By sending the state prompt information to the user equipment, the user can conveniently and rapidly respond to the abnormal condition of the water supply system, so that the water supply safety is improved. The maintenance information is acquired to help record maintenance measures taken by a user, so that the maintenance efficiency in the subsequent similar situation is improved. At the same time, the resulting repair information can be used to predict possible future failures, helping to implement preventive maintenance planning, reducing downtime. Through the communication module supporting 3G, 4G and 5G communication, the user can monitor and manage the water supply system remotely, and compared with the situation that the fault of the water supply system is known in a wired mode, the remote control capability is enhanced.

Wherein the water supply device comprises, for example, any one of a centrifugal pump, a self-priming pump, an axial flow pump, or a mixed flow pump. The communication module is used for one or more of 3G communication, 4G communication and 5G communication with the user equipment, it being understood that the communication module comprises an embedded template supporting the above functions for integration in the water supply system. The operation information includes, for example: 1A current, 11A current, 11.5A current, 1.3Mpa water pressure, 1.5Mpa water pressure, 30 ℃ 230V voltage or 2.3KW power, etc. The operation states are, for example, normal, abnormal, a state, and B state. The running state indicates the abnormal elimination of the water supply system, and the running state can be switched from abnormal to normal or switched from B to A.

In some embodiments, the operational information includes line water pressure data and plant operational data;

The running scoring model and the policy recommendation model mentioned below may be obtained by training a preset deep learning model by using a training set. Taking an example of an operational scoring model, it is used to predict the operational score of a water supply based on plant operational data. For example, during training, a large amount of sample data is used, including parameters of sample values such as voltage, current, temperature, and the like, and corresponding run scores. Training a preset deep learning model through the data to obtain an operation scoring model, wherein the model can predict the operation scoring of the water supply system according to the equipment operation data. There are a number of options for training the deep learning model of the run scoring model, depending on the complexity of the problem and the available data set.

In this embodiment, the sensor monitors the line water pressure and the plant operating status of the water supply and transmits these data to the main control module. And evaluating the running state through a running scoring model, and comparing the running score of the equipment with a preset score. The preset score may be preset as a score threshold that is considered to be normal operation. The operation score model obtains operation scores of, for example, 90, 75, A, C, etc., and the score threshold values of, for example, 85, 75, B, C, etc. As one example, the score a is run, the score threshold is B, and the run score may be considered to be greater than the score threshold. If the operational score of the device is less than the preset score, it indicates that there may be an abnormality in the operational status of the device. In this case, the main control module finds the abnormal level corresponding to the current line water pressure data by acquiring the correspondence between the line water pressure data and the abnormal level. The obtained abnormality level is defined as a current abnormality level for indicating an operation state of the water supply system. Different anomaly levels may represent different degrees of problem, such as slight anomalies, moderate anomalies, or severe anomalies. When the user is in an abnormal state, state prompt information can be generated and sent to the user equipment to inform the user of the current abnormal situation. The user equipment is not limited, and is, for example, a tablet computer, a mobile phone, a notebook computer and the like. The expression form of the state prompt information can be voice notification, short message notification or APP popup.

This has the advantage that in the above-described manner, attention can be paid to the situation where it has been evaluated that there is a possibility that other data is deeply analyzed only when an abnormal score is generated, helping to concentrate resources where they are most needed, improving efficiency. By using the operation scoring model, the operation condition of the equipment can be automatically evaluated, and the burden of manual intervention is reduced. When an abnormality is detected, a user can quickly learn about the problem and take measures in time by sending state prompt information, so that the perceptibility of the user to the system state is improved. The abnormal grade information is acquired, so that a user can formulate a more accurate maintenance strategy, and the maintenance efficiency is improved. It is generally considered that, acquiring the corresponding relation between the pipeline water pressure data and the abnormal grade requires invoking the storage resource to perform a certain amount of calculation, and the corresponding resource can be allocated when needed by triggering the process when the equipment operation score is lower than the preset score, so that the method has the advantage of resource optimization. In this way, it is possible to concentrate on the situation where it has been estimated that there is a possibility of a problem, and to analyze other data deeply only when an abnormal score is generated, contributing to concentrating resources where they are most needed, improving efficiency. Wherein, the abnormal score refers to that the running score is smaller than the preset score.

In some embodiments, when the run score is less than a preset score, the master control module is further configured to:

When the main control module detects that the equipment operation score in the water supply system is smaller than the preset score, the acquisition of maintenance strategy information of the water supply system is triggered. Detailed information about device status and performance, which may include sensor readings, device parameters, histories, etc., may be obtained based on current abnormal device operational data. With the acquired equipment operation data, a maintenance policy generation algorithm may be executed to generate a specific piece of maintenance policy information taking into account the specific operating conditions of the equipment, as well as previous maintenance history. The service policy information includes specific policies that guide the user in performing the service, possibly including which components need to be replaced, adjusted or repaired, and the service steps, etc. The main control module sends the generated maintenance strategy information to the user equipment in a 3G, 4G or 5G mode through the communication module, so that the user equipment receives the maintenance strategy information and displays the maintenance strategy information to a user. The service policy information may include text, images, video, or other forms of information so that the user can understand and execute the service policy. The user may perform a repair step based on the received repair policy information.

This has the advantage that by generating and transmitting the maintenance policy information in time, the user can be helped to respond more quickly to the abnormal condition of the apparatus, reducing downtime. Based on the detailed equipment operational data, the maintenance strategy information may provide more accurate, specific, and personalized maintenance guidance, helping users to more effectively solve the problem. By providing an accurate maintenance strategy, the user can be more specifically assisted in maintenance, reducing unnecessary maintenance steps, and thus reducing maintenance costs. By providing maintenance policy information to the user, the user may be considered encouraged to learn more about the operating condition of the device, improving the user's engagement with the device.

In some embodiments, the device operational data includes data of not less than one of a temperature, a voltage, a current, and a power of the water supply device, the main control module is further configured to obtain maintenance policy information for the water supply system using:

The main control module acquires a plurality of data such as temperature, voltage, current and power of the water supply equipment. For each data, a first difference between the data and a preset value corresponding to the data is calculated, and whether the first difference of each data is not larger than the preset difference is checked. It can be considered that if the first difference is not greater than the preset difference, the data is close to the preset value, and the data is considered to be normal; otherwise, the data is marked as anomalous. Deleting the data marked as abnormal from the equipment operation data, and keeping the data close to the preset value. The processed device operational data is input into the policy recommendation model. The policy recommendation model may be a machine learning model for analyzing patterns of equipment operational data and generating corresponding maintenance policy information. The repair strategy information includes, for example, suggested repair steps, parts to be replaced, repair time, etc. The generated maintenance strategy information can be transmitted to the user equipment through the communication module so as to guide the user to execute corresponding maintenance operation.

This has the advantage that by comparing the actual equipment operation data with the preset value, abnormal data which differ significantly from the expected data can be detected intelligently. And deleting the normal data close to the preset value, so that false alarm caused by normal fluctuation is reduced, and the accuracy of abnormality detection is improved. After the abnormal data is deleted, the data pushed to the strategy recommendation model is cleaner, and the accuracy of the fine maintenance suggestion of the model can be improved. Only the abnormal data is sent to the strategy recommendation model, so that the use of computing resources is reduced, and the efficiency is improved. By pushing only the critical exception information, the user can understand the information more easily when receiving the maintenance policy information, and the user experience is improved.

As an example, a first difference value between each data in the device operation data and a preset value corresponding to the data is detected, and taking temperature as an example, the value of the temperature in the device operation data is detected to be 45 ℃, the preset value corresponding to the data is detected to be 43 ℃, the difference value between the two is detected to be 2 ℃, and the preset difference value is detected to be 3 ℃. And deleting (temperature) data with the first difference value not larger than a preset difference value from the equipment operation data because the temperature of 2 ℃ is smaller than 3 ℃.

Referring to fig. 2, fig. 2 is a block diagram of another water supply system according to an embodiment of the present application.

In some embodiments, the water supply system further comprises a slave control module electrically connected to the master control module and the communication module, respectively, the slave control module configured to:

It is believed that the slave control module initiates the timing function when the slave control module and the master control module are powered up. The timing function involves, for example, the use of a hardware timer or a software timer. The hardware timer is a hardware module integrated inside the microcontroller or the microprocessor chip, and the software timer is a timing function implemented in software by programming. The present application is not limited in its implementation.

Taking a hardware timer as an example, a hardware timer is a specialized timer module embedded within a microcontroller or microprocessor chip. By configuring the register, parameters such as a timing period, a counting mode and the like of the timer can be set. When in use, parameters such as the counting period, the counting mode and the like of the timer are set so as to meet the requirement of timing. A timer is started to start timing. When the timer count is completed (when the preset time period is exceeded), an interrupt is generated. In an interrupt service routine, a related timing operation, such as sending simulated run information or the like, may be performed to indicate that the timing exceeds a preset duration. The preset time period is not limited in this application, and is, for example, 1 minute, 10 minutes, or 1 hour.

Taking a software timer as an example, the software timer is a timing function realized by programming, and the using process comprises the following steps: setting a timing starting point, and acquiring the current time as the timing starting point. And calculating the difference between the current time and the starting time, and judging whether the preset duration is reached. When the timing duration reaches the preset duration, corresponding operations, such as sending simulation running information, are executed.

And monitoring whether the timing duration reaches the preset duration by using the slave control module, and if the timing duration is not lower than the preset duration, and the master control module does not indicate the abnormality of the water supply system, sending preset simulation operation information to the master control module by using the slave control module. After receiving the simulation operation information, the main control module generates corresponding operation information according to the simulation operation information and takes the corresponding operation information as second state information. The slave control module checks the second state information generated by the master control module to check the correctness of the second state information. If the second state information is checked to be incorrect, the slave control module judges that the master control module possibly fails. Fault warning information is generated from the control module, including, for example, a detailed description of the main control module fault, a time stamp, etc. The slave control module sends the fault early warning information to the user equipment through the communication module to inform the user that the fault condition of the master control module possibly exists.

The method has the advantages that the running state of the main control module can be monitored in real time by periodically sending the simulation running information and the verification feedback, and potential faults can be found in time. When the operation state of the main control module is abnormal (verification is not passed), the fault early warning information is automatically generated from the control module, so that the dependence on manual intervention is reduced. By periodically detecting the operation state of the main control module, potential faults can be found earlier, corresponding measures are taken, and the reliability and stability of the water supply system are improved. Timely fault early warning can enable maintenance personnel to respond to the problems more quickly, and the downtime of the water supply system is reduced. The fault early warning information is sent to the user equipment through the communication module, so that the user can know the state of the system in time, and the perception of the user on the running condition of the water supply system is improved.

In a specific application, there may be considered a number of management chips, such as a power chip for power management, a man-machine interface chip for connecting with a display, buttons, touch screen, etc. to provide an interface for user interaction with the system, all of which are modules that operate independently of the master control module, and all of which may be used as slave control modules. The slave control module may also include a separate re-established management chip to implement the above-described functions.

In some embodiments, the means for verifying the second state information includes:

Therefore, when the timing duration is not less than the preset duration and the main control module does not indicate the abnormality of the water supply system, the preset simulation operation information is sent from the control module to the main control module. And after receiving the simulation running information, the main control module generates corresponding simulation state information by using the simulation running information. And the slave control module uses the acquired analog state information to verify the second state information generated by the master control module. If the verification passes, the second state information generated by the main control module is correct. If the verification is not passed, it may indicate that the main control module is malfunctioning or abnormal. If the second state information is checked to be incorrect, the slave control module can judge that the master control module is likely to have faults and generate corresponding fault early warning information. The slave control module sends the fault early warning information to the user equipment through the communication module to inform the user that the fault condition of the master control module possibly exists.

The method has the advantage that by comparing the simulation running information with the simulation state information, whether the main control module can correctly generate the expected state information can be automatically detected, so that automatic fault detection is realized. By periodically simulating and checking the state information, the abnormality of the main control module can be found earlier, and the reliability and stability of the water supply system are improved. By comparing the actual state information with the analog state information, false alarms caused by normal fluctuation and other reasons can be reduced, and the accuracy of abnormality detection is improved. When the main control module is found to possibly have faults, fault early warning information can be timely generated to inform a user, and timely measures are helpful to be taken to solve the problems.

As an example, in verifying the second state information using the analog state information, the method may be used to compare an expected value and an actual value of the analog state information, and the process may include:

An expected value is obtained, which is an ideal state in the simulation run, and an expected state value contained in the simulation state information is obtained. This expected value can be obtained from previous simulation data;

comparing the actual values, extracting actual state values from the second state information by reading or parsing corresponding fields in the second state information;

and comparing and checking, namely comparing the actually acquired state value with the expected value. If the two match, the second status information is indicated as valid. If there is a difference, this indicates that an abnormal situation may occur.

In some embodiments, the slave control module is further configured to:

Thus, when the slave control module checks the second state information generated by the master control module according to the analog state information, if the check result is found to be incorrect, the master control module may be considered to be faulty or abnormal. And triggering a reset process by the slave control module when the second state information is checked to be incorrect. The reset processing refers to a reset operation performed on the main control module, and the reset operation is restored to an initial state. As one example, the reset operation may include re-initializing registers, variables, and states of the main control module, etc., back to the original state.

After reinitialization, the main control module can restart working according to the normal operation flow, including obtaining operation information, sending state information and the like. The slave control module can also generate corresponding notification information, and the communication module is used for sending the fault recovery information to the user equipment to notify the user that the main control module has been subjected to reset processing and the system has recovered to normal operation.

The method has the advantages that when the main control module fails, the normal operation of the main control module can be recovered through automatic reset processing operation, and the dependence on manual intervention is reduced. The automatic reset processing can quickly take action when the fault of the main control module is found, so that the risk of shutdown of the water supply system is reduced, and the reliability of the water supply system is improved. Automatic fault recovery reduces reliance on maintenance personnel, especially in remote or unattended environments, reducing maintenance costs. The above-described fault recovery can be considered to be triggered in real-time, reducing the impact of the fault on the operation of the water supply system.

Method embodiment.

Referring to fig. 3, fig. 3 is a flow chart of an abnormality processing method of a water supply system according to an embodiment of the present application.

The embodiment provides an abnormality processing method for a water supply system, which is used for the water supply system provided by the embodiment of the water supply system. The specific implementation manner of the water supply system is consistent with the implementation manner and the achieved technical effect recorded in the embodiment of the water supply system, and part of the contents are not repeated.

The method comprises the following steps:

step S101, monitoring a water supply pipeline and water supply equipment by using a sensor to acquire operation information, and determining the operation state of a water supply system according to the operation information; the operation information is used for indicating the water pressure of the water supply pipeline and the operation condition of the water supply equipment;

step S102, when the running state indicates that the water supply system is abnormal, the running information is used as first state information, and state prompt information comprising the first state information is sent to user equipment through a communication module of the water supply system;

step S103, when the running state indicates the abnormality elimination of the water supply system, maintenance information generated in the abnormality elimination process of the water supply system is acquired;

Step S104, the first status information and the maintenance information are used as information to be analyzed, and are sent to the user equipment through the communication module.

In some embodiments, when the run score is less than a preset score, the method further comprises:

In some embodiments, the device operational data includes data of not less than one of temperature, voltage, current, and power of the water supply device.

In some embodiments, the method further comprises:

In some embodiments, the slave control module is utilized to perform a reset process on the master control module when the second status information is verified to be incorrect.

In a specific application scenario, the embodiment of the application also provides an abnormality processing method of the water supply system, which is used for the water supply system provided by the embodiment of the water supply system.

The method comprises the following steps:

monitoring a water supply pipeline and water supply equipment by using a sensor to obtain operation information, and inputting the equipment operation data into an operation scoring model to obtain operation scores corresponding to the equipment operation data;

according to the corresponding relation, obtaining an abnormal grade corresponding to the current pipeline water pressure data and taking the abnormal grade as a current abnormal grade, wherein the current abnormal grade is used for indicating the running state of the water supply system; the operation information is used for indicating the water pressure of the water supply pipeline and the operation condition of the water supply equipment; the operation information comprises pipeline water pressure data and equipment operation data; the equipment operation data comprise data of at least one of temperature, voltage, current and power of the water supply equipment;

When the operation score is smaller than a preset score, acquiring maintenance strategy information of the water supply system based on the equipment operation data, wherein the maintenance strategy information is used for indicating a guiding strategy for a user to maintain the water supply system;

Computer-readable storage medium embodiments.

The embodiment of the application also provides a computer readable storage medium, and the specific embodiment of the computer readable storage medium is consistent with the embodiment described in the embodiment of the method and the achieved technical effects, and some of the contents are not repeated.

The computer readable storage medium stores a computer program which, when executed by at least one processor, implements the steps of any of the methods described above.

The computer readable medium may be a computer readable signal medium or a computer readable storage medium. In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable storage medium may also be any computer readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including Java, C++, python, C#, javaScript, PHP, ruby, swift, go, kotlin and the like. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

Computer program product embodiments.

The embodiment of the application also provides a computer program product, and the specific embodiment of the computer program product is consistent with the embodiment and the achieved technical effect recorded in the embodiment of the method, and part of the contents are not repeated.

The computer program product comprises a computer program which, when executed by at least one processor, implements the steps of any of the methods described above.

Referring to fig. 4, fig. 4 is a schematic structural diagram of a computer program product according to an embodiment of the present application.

The computer program product being adapted to carry out the steps of any of the methods described above. The computer program product may employ a portable compact disc read only memory (CD-ROM) and comprise program code and may run on a terminal device, such as a personal computer. However, the computer program product of the present invention is not limited thereto, and the computer program product may employ any combination of one or more computer readable media.

In the above embodiments of the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, a and b, a and c, b and c or a and b and c, wherein a, b and c can be single or multiple. It is noted that "at least one" may also be interpreted as "one (a) or more (a)". Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

The present application is directed to functional enhancement and use elements, which are emphasized by the patent laws, such as the description and drawings, of the present application, but are not limited to the preferred embodiments of the present application, and therefore, all equivalents and modifications, equivalents, and modifications, etc. of the structures, devices, features, etc. of the present application are included in the scope of the present application.

Claims

1. A water supply system, comprising:

a water supply device for supplying water to the water supply line;

characterized in that the water supply system further comprises:

The main control module is configured to:

2. The water supply system of claim 1, wherein the operational information includes line water pressure data and equipment operational data;

3. The water supply of claim 2, wherein when the operational score is less than a preset score, the main control module is further configured to:

4. A water supply system according to claim 3, wherein the device operational data comprises data of not less than one of temperature, voltage, current and power of the water supply device, the main control module being further configured to obtain maintenance strategy information for the water supply system using:

5. The water supply system of claim 1, further comprising a slave control module electrically connected to the master control module and the communication module, respectively, the slave control module configured to:

6. The water supply system of claim 5, wherein the means for verifying the second status information comprises:

7. The water supply system of claim 5, wherein the slave control module is further configured to:

8. A method of exception handling for a water supply system, the method comprising:

9. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by at least one processor, implements the steps of the method of claim 8.

10. A computer program product, characterized in that it comprises a computer program which, when executed by at least one processor, implements the steps of the method according to claim 8.