Alarm reminding method, device and equipment for abnormal water consumption and medium

Abstract

The invention discloses an alarm reminding method and device for abnormal water consumption, equipment and a medium, and relates to the technical field of equipment fault diagnosis, and the method comprises the steps: obtaining a night analysis period, collecting the water consumption data in the corresponding time of the night analysis period, and when the water consumption data meets any preset water leakage condition, determining that the water consumption is abnormal, and generating alarm information. By setting the analysis period at night, collecting the water consumption data, judging the abnormity according to the preset water leakage condition and alarming, the method can accurately identify the water consumption abnormity, timely give an alarm to reduce the waste of water resources, and improve the management efficiency and reliability of the water supply system.

Description

Technical Field

[0001] The present invention relates to the technical field of fault diagnosis, and particularly to an alarm reminder method, device, equipment and medium for abnormal water use. Background Art

[0002] With the acceleration of the urbanization process, the efficient utilization and refined management of water resources have become the key to the sustainable development of cities. As an important part of intelligent water services, intelligent water meters integrate modern sensing technology, communication technology and data analysis technology, and can realize the automatic collection, remote monitoring and intelligent management of water use data.

[0003] Through the Internet of Things technology, traditional intelligent water meters can transmit data to the background management system in real time to achieve remote monitoring and automated management. However, in some complex environments, wireless communication technologies (such as NB-IoT, LoRa) may experience unstable signals or data loss, and the existing abnormal alarm mechanism of intelligent water meters is mainly based on simple threshold judgment, making it difficult to accurately identify complex water use scenarios (such as low water consumption at night but with minor leakage). Therefore, a more efficient and accurate method is needed to determine abnormal water use situations. Summary of the Invention

[0004] The main purpose of this application is to provide an alarm reminder method, device, equipment and medium for abnormal water use, aiming to solve the technical problem of how to improve the accuracy of abnormal water use alarms.

[0005] To achieve the above object, this application proposes an alarm reminder method for abnormal water use, and the method includes:

[0006] Obtain a night analysis period;

[0007] Collect water consumption data corresponding to the time of the night analysis period;

[0008] When the water consumption data meets any one of the preset leakage conditions, it is determined that the water use is abnormal and an alarm message is generated.

[0009] In an embodiment, the step of when the water consumption data meets any one of the preset leakage conditions, determining that the water use is abnormal and generating an alarm message includes:

[0010] Perform periodic analysis on the water consumption data to determine whether the water consumption increment during the night analysis period meets the leakage judgment condition, and obtain a judgment result;

[0011] When the judgment result is abnormal water use, generate an alarm message.

[0012] In one embodiment, the step of determining whether the water consumption increment in the night analysis period meets the water leakage determination condition to obtain a determination result includes:

[0013] When the water consumption increment in the first preset sub-periods in a row is greater than the first preset water consumption threshold, or the water consumption increment in the second preset sub-periods in a row is greater than the second preset water consumption threshold, or the water consumption increment in the third preset sub-periods in a row is greater than the third preset water consumption threshold, the determination result is that the water use is abnormal, where the first preset sub-period is greater than the second preset sub-period, the second preset sub-period is greater than the third preset sub-period, the first preset water consumption threshold is less than the second preset water consumption threshold, and the second preset water consumption threshold is less than the third preset water consumption threshold.

[0014] In one embodiment, the first preset water consumption threshold, the second preset water consumption threshold, and the third preset water consumption threshold are thresholds set according to the normal night water consumption, and the first preset water consumption threshold, the second preset water consumption threshold, and the third preset water consumption threshold are dynamically adjusted according to the actual application scenario.

[0015] In one embodiment, after the step of determining that the water use is abnormal and generating an alarm message when the water consumption data meets any one of the preset water leakage conditions, it includes:

[0016] Obtain the severity of the abnormal water use;

[0017] Classify the alarm messages into different priorities according to the severity, and dispatch the work orders to engineering personnel at different levels according to the priorities.

[0018] In one embodiment, after the step of determining that the water use is abnormal and generating an alarm message when the water consumption data meets any one of the preset water leakage conditions, it further includes:

[0019] Obtain the water use abnormal location, abnormal type, and treatment measures according to the alarm message;

[0020] Send the water use abnormal location, abnormal type, and treatment measures to the platform, so that the platform generates a work order including the water use abnormal location, abnormal type, and treatment measures, and dispatches the work order to engineering personnel.

[0021] In one embodiment, the step of collecting the water consumption data corresponding to the time of the night analysis period includes:

[0022] Divide the night analysis period to obtain multiple sub-periods;

[0023] Collect the water consumption data corresponding to the time of multiple sub-periods.

[0024] In addition, to achieve the above object, the present application also proposes an alarm reminder device for abnormal water use, and the alarm reminder device for abnormal water use includes:

[0025] An acquisition module, configured to acquire a night analysis period;

[0026] A collection module, configured to collect water consumption data within the time corresponding to the night analysis period;

[0027] A result module, configured to determine abnormal water use and generate an alarm message when the water consumption data meets any one of the preset leakage conditions.

[0028] In addition, to achieve the above object, the present application also proposes a medium, the medium is a computer-readable medium, and a computer program is stored on the medium. When the computer program is executed by a processor, the steps of the alarm reminder method for abnormal water use as described above are implemented.

[0029] In addition, to achieve the above object, the present application also provides a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the alarm reminder method for abnormal water use as described above are implemented.

[0030] The present application acquires a night analysis period, collects water consumption data within the time corresponding to the night analysis period, and when the water consumption data meets any one of the preset leakage conditions, determines abnormal water use and generates an alarm message. By setting an analysis period at night, collecting water consumption data, judging abnormalities and alarming according to the preset leakage conditions, this method can accurately identify abnormal water use, alarm in time to reduce water resource waste, and improve the management efficiency and reliability of the water supply system. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0032] Figure 1 It is a schematic flowchart of the first embodiment of the alarm reminder method for abnormal water use of the present application;

[0033] Figure 2 It is a non-leakage result diagram of the first embodiment of the alarm reminder method for abnormal water use of the present application;

[0034] Figure 3 It is a leakage result diagram of the first embodiment of the alarm reminder method for abnormal water use of the present application;

[0035] Figure 4Schematic flowchart of the second embodiment of the alarm reminder method for abnormal water use in this application;

[0036] Figure 5 Schematic flowchart of the third embodiment of the alarm reminder method for abnormal water use in this application;

[0037] Figure 6 Schematic diagram of the module structure of the alarm reminder device for abnormal water use in the embodiment of this application;

[0038] Figure 7 Schematic diagram of the device structure of the hardware operating environment involved in the alarm reminder method for abnormal water use in the embodiment of this application.

[0039] The implementation, functional features, and advantages of this application will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0040] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of this application and are not used to limit this application.

[0041] To better understand the technical solutions of this application, the following will be described in detail with reference to the drawings in the specification and specific implementation manners.

[0042] The main solution of the embodiment of this application is: by obtaining the night analysis period, collecting the water consumption data within the corresponding time of the night analysis period, and when the water consumption data meets any one of the preset water leakage conditions, it is determined that the water use is abnormal and an alarm message is generated.

[0043] Based on this, the embodiment of this application provides an alarm reminder method for abnormal water use. Refer to Figure 1 , Figure 1 Schematic flowchart of the first embodiment of the alarm reminder method for abnormal water use in this application.

[0044] In this embodiment, the alarm reminder method for abnormal water use includes steps S10 to S30:

[0045] Step S10, obtain the night analysis period.

[0046] It should be noted that to ensure the accuracy of detection, data collection is usually carried out during the period of low or no water consumption at night, such as from 24:00 at night to 6:00 in the morning the next day. The reason for choosing this time period is that most users are in a sleeping state at this time, and household and commercial activities are reduced to a minimum. Therefore, theoretically, the water consumption during this period should be close to zero or remain at a very low stable level. This background flow environment provides ideal conditions for detection to identify any abnormal increase in water consumption, which indicates pipeline leakage or other abnormal water use situations. By carrying out high-frequency data collection (such as once every 30 minutes) during this specific time period, any subtle changes can be accurately captured and compared with the preset threshold. Once the data is found to be outside the normal range, a prompt response can be made to issue an alarm for timely corrective measures.

[0047] Step S20: Collect water consumption data corresponding to the time within the night analysis period.

[0048] It should be noted that within the night analysis period, which usually refers to the time period from 24:00 at night to 6:00 in the morning the next day, collecting water consumption data is an important step in detecting potential water leakage or abnormal water use patterns. This process involves the precise monitoring and data recording of smart water meters. The smart water meter is internally equipped with high-precision sensors that can measure the water volume flowing through the pipeline in real time and convert this information into readable data.

[0049] Furthermore, step S20 includes: dividing the night analysis period to obtain multiple sub-periods. Collect water consumption data corresponding to the time of multiple sub-periods. Specifically, to ensure the accuracy and reliability of the data, a fixed sampling interval is usually set at night, such as once every 30 minutes. This means that within a complete 6-hour analysis period, a total of 12 sets of data points will be collected. These data not only reflect the total water consumption during this time period but also provide detailed information about the water use trend. For example, if a small but significant increase in water consumption is recorded between 2:00 and 2:30 in the early morning, and this pattern does not conform to the user's regular water use habits, it indicates the existence of water leakage or other types of abnormal water use situations.

[0050] Step S30: When the water consumption data meets any one of the preset water leakage conditions, it is determined that the water use is abnormal and an alarm message is generated.

[0051] It should be noted that when the water consumption data in the water supply system meets the preset leakage conditions, it is regarded as abnormal water use. These preset conditions are usually based on in-depth analysis of historical water use patterns and statistical normal ranges. For example, during low water use periods at night (such as from 12:00 am to 6:00 am), if the water consumption in a certain area or by a certain user suddenly increases significantly, and this increase exceeds the expected maximum value within this time period, then this is a signal of leakage or other abnormal water use behavior. In actual operation, in order to ensure the accuracy of detection, various methods are used to set these leakage conditions. One common method is the comparison method: comparing the measured minimum flow at night with the daily average water supply. If this ratio exceeds a certain percentage (such as 3%), it is considered that there is an abnormality in the pipe network in this area. In addition, an absolute threshold can also be set. If the monitored water consumption exceeds this threshold, the alarm mechanism will also be triggered. For example, for a typical household user, if the water consumption at night continuously exceeds 0.5 cubic meters per hour, it can be regarded as an abnormal situation.

[0052] By comparing the changes in water consumption within each sampling interval and comparing with the preset standard value, any changes outside the normal range can be effectively identified. Once an abnormality is detected, an alarm message is automatically generated to alert the user or maintenance personnel to pay attention and take necessary measures. Specifically, in this embodiment, through Figure 2 the non-leakage result graph and Figure 3 the leakage result graph, it can be seen that Figure 2 The right picture shows the situation of no water use and no leakage at night, showing that there is no water use at night (from 0:30 to 6:00). The total water meter water consumption (V (m3)) remains constant at 50 cubic meters, and the water consumption per half hour (ΔV (m3)) is 0 cubic meters for each half hour. During the entire night period, the water consumption does not change, indicating that the system is in a stable state without leakage or other abnormal water use situations. Figure 2 The left picture shows the situation of water use and no leakage at night, showing that there is water use at night. The total water meter water consumption (V (m3)) gradually increases from 50 cubic meters to 54 cubic meters, and the water consumption per half hour (ΔV (m3)) changes in some time periods. Specifically, between 1:30 and 2:00, the water consumption per half hour is 3 cubic meters, marked as "night decoration water 3m3", and between 4:30 and 5:00, the water consumption per half hour is 1 cubic meter, marked as "night cleaning water 1m3". Figure 3 The left picture shows the situation of no water use but leakage. During this period, a constant increase in water consumption of 2 cubic meters per half hour is recorded, and the total water meter reading rises from 50 cubic meters to 72 cubic meters, indicating that there is a continuous leakage problem even when there is no user activity. Figure 3On the right side, it indicates the situation where there is also leakage in the useful water. In addition to the fixed leakage of 2 cubic meters every half hour, additional decoration and cleaning water was recorded at 1:30 and 4:30 respectively, resulting in the total water consumption further rising to 76 cubic meters.

[0053] In addition, by using modern Internet of Things technology, these data can be uploaded to the cloud server in real time through the network, making remote monitoring possible and improving the problem response speed and service efficiency.

[0054] This embodiment provides an alarm reminder method for abnormal water use. By obtaining the night analysis period and collecting the water consumption data within the corresponding time of the night analysis period, when the water consumption data meets any one of the preset leakage conditions, it is determined that the water use is abnormal and an alarm message is generated. By setting the analysis period at night, collecting the water consumption data, and judging and alarming according to the preset leakage conditions, this method can accurately identify abnormal water use, alarm in time to reduce water resource waste, and improve the management efficiency and reliability of the water supply system.

[0055] Based on the first embodiment of this application, in the second embodiment of this application, the same or similar content as in the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 4 In the alarm reminder method for abnormal water use, step S30 further includes steps S201 to S202:

[0056] Step S201: Analyze the water consumption data periodically to determine whether the water consumption increment during the night analysis period meets the leakage judgment condition, and obtain a judgment result.

[0057] It should be noted that the night is usually an ideal analysis window because at this time, the water use activities of most users drop to the lowest level, making any abnormal water consumption increment more obvious. By comparing the normal night water use pattern in the historical data with the currently monitored data, a baseline can be set to determine whether there is leakage. In this embodiment, the time period from 24:00 at night to 06:00 the next morning is selected, and 30 minutes is used as a cycle, covering a total of 12 such short cycles.

[0058] Further, the water leakage judgment condition in step S201 is that when the water consumption increment in the first preset sub-cycle is greater than the first preset water consumption threshold, or the water consumption increment in the second preset sub-cycle is greater than the second preset water consumption threshold, or the water consumption increment in the third preset sub-cycle is greater than the third preset water consumption threshold, the judgment result is abnormal water use. Here, the first preset sub-cycle is greater than the second preset sub-cycle, the second preset sub-cycle is greater than the third preset sub-cycle, the first preset water consumption threshold is less than the second preset water consumption threshold, and the second preset water consumption threshold is less than the third preset water consumption threshold. Specifically, for each 30-minute cycle, we will record the change in the water meter reading △V, which represents the water consumption increment during this time period. If in 12 consecutive 30-minute cycles, all △V values are greater than zero, it means that even during the time period when the demand should theoretically be low, there is still continuous water consumption, indicating a small leak. Similarly, if the △V in 6 consecutive cycles exceeds 1.5 cubic meters, or the △V in 3 consecutive cycles exceeds 3 cubic meters, these situations are also beyond the normal fluctuation range, indicating a serious water leakage problem. And the above-mentioned first preset water consumption threshold, second preset water consumption threshold, and third preset water consumption threshold are thresholds set according to the normal water consumption at night, and the first preset water consumption threshold, second preset water consumption threshold, and third preset water consumption threshold are dynamically adjusted according to the actual application scenario. These thresholds are not fixed, but should be adjusted in a timely manner with the change of seasons, user habits, or the influence of other external factors. In this way, not only can the detection accuracy be improved, but also potential risks can be effectively prevented, ensuring the stability and reliability of the water supply system.

[0059] To ensure the accuracy of the results, in addition to the data of a single night, the data trends of multiple nights should also be observed. In this way, occasional outliers, such as the temporary water use behavior of users at atypical time points, can be excluded. In addition, considering that different seasons, weather conditions, and special events (such as public holidays) will affect the water use pattern, these factors should also be taken into account.

[0060] Step S202, when the judgment result is abnormal water use, generate an alarm message.

[0061] It should be noted that when the judgment result of abnormal water use is obtained through the periodic analysis of the night water consumption data, an alarm message is automatically generated to notify relevant personnel for further inspection and processing.

[0062] Further, after step S202, it further includes: obtaining the severity of the abnormal water use, classifying the alarm information into different priorities according to the severity, and dispatching work orders to engineering personnel at different levels according to the priorities. Specifically, when dealing with the abnormal water use alarm, determining its severity and allocating priorities accordingly are key steps to optimize resource utilization and ensure the rapid resolution of problems. First, it is necessary to evaluate the severity of the abnormality based on the magnitude of △V and the degree of exceeding the preset threshold. For example, if △V only slightly exceeds the first preset water consumption threshold, it means there is a small-scale leakage or measurement error, and this situation can be classified as a lower priority. On the contrary, if △V is significantly higher than the third preset water consumption threshold, it indicates a serious pipeline rupture or other major failures, and should be regarded as a high-priority event. Based on the above evaluation, the alarm information can be classified into different priorities, such as low, medium, and high levels. For low-priority alarms, they can be handled through the regular maintenance plan; medium-priority alarms require a faster response speed, and the nearest available technicians should be arranged to go for inspection; while high-level alarms require immediate action, dispatching senior engineers or emergency repair teams to the scene, and starting the emergency plan to minimize losses.

[0063] In this embodiment, by periodically analyzing the night water use data, identifying the abnormal increment to judge the water leakage situation. If water use abnormality is detected, an alarm is triggered and notification is made for handling, achieving real-time monitoring and automatic early warning, effectively preventing water resource waste, reducing losses, and improving management efficiency and emergency response speed.

[0064] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar content as the above-mentioned first embodiment can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 5 , after step S20 of the alarm reminder method for abnormal water use, it further includes steps S301 to S302:

[0065] Step S301, according to the alarm information, obtain the location of the abnormal water use, the type of abnormality, and the treatment measures.

[0066] It should be noted that after the system detects abnormal water usage and generates an alarm message, the next key steps are to determine the specific location, type of the abnormality, and corresponding handling measures. First, by using intelligent water meters and Internet of Things technology, the water usage data of each household or each area can be monitored in real time. Once it is found that the minimum flow rate at night increases significantly and exceeds the normal range, this is usually a clear signal of leakage. Through the District Metered Areas (DMA) strategy, the geographical location where the abnormality occurs can be further narrowed down because DMA can help clarify the spatial distribution of water volume and identify potential leakage points by analyzing the minimum flow rate at night. After determining the general location, it is necessary to locate the leakage point more precisely. At this time, a correlator can be used to conduct a detailed inspection of the suspected leakage area. The correlator can accurately locate the position of the leakage point by detecting the sound frequency generated by the leakage in the pipeline. In addition, a pipeline detector can help confirm the exact route of the underground pipeline, and terminal devices can be arranged on valves and fire hydrants to further accurately locate the leakage position of the pipe section. Depending on the type of abnormality, the handling measures taken will also vary. If it is a small-scale leakage, only simple repairs or replacement of some pipeline components are required. For serious rupture situations, it is necessary to dig the ground and replace the damaged part of the pipeline. In some cases, technologies such as equal-diameter compression HDPE pipe insertion and repair technology can also be applied to complete the repair work without completely destroying the original pipeline. Finally, after all the repair work is completed, tests should be carried out again to ensure that the problem has been completely solved, and the records should be updated for future reference.

[0067] Step S302: Send the location of abnormal water usage, the type of abnormality, and the handling measures to the platform, so that the platform generates a work order containing the location of abnormal water usage, the type of abnormality, and the handling measures, and dispatches the work order to the engineering staff.

[0068] It should be noted that once the location, type, and preliminary treatment measures of abnormal water use are determined, this information needs to be sent to the management platform quickly and accurately. The modern intelligent water meter system can automatically upload abnormal data to the remote management system and automatically generate a work order containing detailed information. This work order not only records the specific abnormal location (such as a certain block or specific address) and the type of abnormality (such as a water pipe rupture or joint leakage), but also lists the treatment measures recommended based on the preliminary analysis. Next, the platform will use the intelligent dispatch function to allocate the most suitable maintenance personnel according to the professional skills, geographical location, and current workload of the engineering staff. This ensures that the problem can be solved quickly and effectively. When dispatching the work order, the system will also provide real-time updates and communication channels to facilitate the engineering staff to keep in touch with the dispatch center and report the progress in a timely manner. In addition, the work order system can also integrate customer relationship management (CRM) functions to ensure that affected users can receive timely notifications and feedback. In this way, not only can the problem response speed and solution efficiency be improved, but also the user satisfaction and trust can be enhanced. The whole process reflects the closed-loop management from detection, alarm, location, dispatching to problem solving, ensuring the stable operation of the water supply system and service quality.

[0069] In this embodiment, the intelligent monitoring and analysis system is used to identify abnormal water use, locate the problem and determine the type, automatically send information to the platform to generate a work order, and accurately dispatch it to the engineering staff for processing, effectively reducing water resource waste and improving the reliability of the water supply system and user satisfaction.

[0070] This application also provides an alarm reminder device for abnormal water use. Please refer to Figure 6 , the device includes:

[0071] An acquisition module 10, configured to acquire the night analysis period.

[0072] A collection module 20, configured to collect water consumption data during the time corresponding to the night analysis period.

[0073] A result module 30, configured to determine abnormal water use and generate an alarm message when the water consumption data meets any one of the preset leakage conditions.

[0074] The alarm reminder device for abnormal water use provided by this application adopts the alarm reminder method for abnormal water use in the above embodiment, and can solve the technical problem of how to improve the accuracy of the alarm for abnormal water use. Compared with the prior art, the beneficial effects of the alarm reminder device for abnormal water use provided by this application are the same as those of the alarm reminder method for abnormal water use provided by the above embodiment, and other technical features in the alarm reminder device for abnormal water use are the same as the features disclosed in the above embodiment method, and will not be elaborated here.

[0075] In one embodiment, the result module 30 is further configured to perform periodic analysis on the water consumption data, determine whether the water consumption increment during the night analysis period meets the water leakage judgment condition, and obtain a judgment result; when the judgment result indicates abnormal water use, an alarm message is generated.

[0076] In one embodiment, the result module 30 is further configured to obtain a judgment result of abnormal water use when the water consumption increment in the first preset sub-period is greater than the first preset water consumption threshold or the water consumption increment in the second preset sub-period is greater than the second preset water consumption threshold or the water consumption increment in the third preset sub-period is greater than the third preset water consumption threshold.

[0077] In one embodiment, the result module 30 is further configured that the first preset water consumption threshold, the second preset water consumption threshold, and the third preset water consumption threshold are thresholds set according to the normal night water consumption, and the first preset water consumption threshold, the second preset water consumption threshold, and the third preset water consumption threshold are dynamically adjusted according to the actual application scenario.

[0078] In one embodiment, the result module 30 is further configured to obtain the severity of the abnormal water use; classify the alarm messages into different priorities according to the severity, and dispatch the work orders to engineering personnel at different levels according to the priorities.

[0079] In one embodiment, the result module 30 is further configured to obtain the location of the abnormal water use, the type of the abnormality, and the treatment measures according to the alarm message; send the location of the abnormal water use, the type of the abnormality, and the treatment measures to the platform, so that the platform generates a work order including the location of the abnormal water use, the type of the abnormality, and the treatment measures, and dispatches the work order to the engineering personnel.

[0080] In one embodiment, the acquisition module 20 is further configured to divide the night analysis period to obtain a plurality of sub-periods. The water consumption data corresponding to the plurality of sub-periods is acquired.

[0081] The present application provides an alarm reminder device for abnormal water use. The alarm reminder device for abnormal water use includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the alarm reminder method for abnormal water use in the first embodiment above.

[0082] Next, refer to Figure 7, which shows a schematic structural diagram of an alarm reminder device for abnormal water use suitable for implementing the embodiments of the present application. The alarm reminder device for abnormal water use in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistant), PADs (Portable Application Description), PMPs (Portable Media Player), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The shown alarm reminder device for abnormal water use is only an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0083] As Figure 7 shown, the alarm reminder device for abnormal water use may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the ROM (Read Only Memory) 1002 or the program loaded from the storage device 1003 into the RAM (Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the alarm reminder device for abnormal water use are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the alarm reminder device for abnormal water use to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows an alarm reminder device for abnormal water use with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems may be alternatively implemented or had.

[0084] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product that includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by a processing device 1001, the above functions defined in the methods of the embodiments disclosed in the present application are executed.

[0085] The alarm reminder device for abnormal water use provided by the present application adopts the method for alarm reminder of abnormal water use in the above embodiments, and can solve the technical problem of how to improve the accuracy of alarm for abnormal water use. Compared with the prior art, the beneficial effects of the alarm reminder device for abnormal water use provided by the present application are the same as those of the method for alarm reminder of abnormal water use provided by the above embodiments, and other technical features in the alarm reminder device for abnormal water use are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.

[0086] It should be understood that the various parts disclosed in the present application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0087] As described above, the above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0088] The present application provides a computer-readable medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the method for alarm reminder of abnormal water use in the above embodiments.

[0089] The computer-readable medium provided by this application can, for example, be a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable media can include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component. The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0090] The above computer-readable medium can be included in the water-abnormality alarm reminder device; it can also exist separately without being assembled into the water-abnormality alarm reminder device.

[0091] The above computer-readable medium carries one or more programs. When the above one or more programs are executed by the water-abnormality alarm reminder device, the water-abnormality alarm reminder device can write computer program code for performing the operations of this application in one or more programming languages or combinations thereof. The above programming languages include object-oriented programming languages - such as Java, Smalltalk, C++; it also includes conventional procedural programming languages - such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network - including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, by using an Internet service provider to connect through the Internet).

[0092] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0093] The modules described in the embodiments of the present application can be implemented in software or in hardware. In some cases, the name of the module does not constitute a limitation on the unit itself.

[0094] The readable medium provided by the present application is a computer-readable medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned method for alarm reminder of abnormal water use, and can solve the technical problem of how to improve the accuracy of alarm for abnormal water use. Compared with the prior art, the beneficial effects of the computer-readable medium provided by the present application are the same as those of the method for alarm reminder of abnormal water use provided in the above embodiments, and will not be elaborated here.

[0095] The present application also provides a computer program product, including a computer program, which when executed by a processor, implements the steps of the method for alarm reminder of abnormal water use as described above.

[0096] The computer program product provided by the present application can solve the technical problem of how to improve the accuracy of alarm for abnormal water use. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the method for alarm reminder of abnormal water use provided in the above embodiments, and will not be elaborated here.

[0097] The above are only some embodiments of the present application, and do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. An alarm reminder method for abnormal water use, characterized in that, The method includes: Obtain a night analysis period; Collect water consumption data within the corresponding time of the night analysis period; When the water consumption data meets any one of the preset water leakage conditions, it is determined that the water use is abnormal and an alarm message is generated; Send the alarm message to the platform so that the platform dispatches a work order to the engineering staff for processing.

2. The method according to claim 1, wherein The step of, when the water consumption data meets any one of the preset water leakage conditions, determining that the water use is abnormal and generating an alarm message includes: Perform periodic analysis on the water consumption data to determine whether the water consumption increment in the night analysis period meets the water leakage judgment condition, and obtain a judgment result; When the judgment result is that the water use is abnormal, generate an alarm message.

3. The method according to claim 2, wherein The step of determining whether the water consumption increment in the night analysis period meets the water leakage judgment condition and obtaining a judgment result includes: When the water consumption increment in the first preset sub-period is continuously greater than the first preset water consumption threshold, or the water consumption increment in the second preset sub-period is continuously greater than the second preset water consumption threshold, or the water consumption increment in the third preset sub-period is continuously greater than the third preset water consumption threshold, the judgment result is that the water use is abnormal, where the first preset sub-period is greater than the second preset sub-period, the second preset sub-period is greater than the third preset sub-period, the first preset water consumption threshold is less than the second preset water consumption threshold, and the second preset water consumption threshold is less than the third preset water consumption threshold.

4. The method according to claim 3, wherein The first preset water consumption threshold, the second preset water consumption threshold, and the third preset water consumption threshold are thresholds set according to the normal water consumption at night, and the first preset water consumption threshold, the second preset water consumption threshold, and the third preset water consumption threshold are dynamically adjusted according to the actual application scenario.

5. The method according to claim 1, wherein After the step of, when the water consumption data meets any one of the preset water leakage conditions, determining that the water use is abnormal and generating an alarm message, it includes: Obtain the severity of the abnormal water use; Classify the alarm messages into different priorities according to the severity, and dispatch the work orders to engineering staff at different levels according to the priorities.

6. The method according to claim 1, wherein After the step of, when the water consumption data meets any one of the preset water leakage conditions, determining that the water use is abnormal and generating an alarm message, it further includes: According to the alarm message, obtain the water use abnormal location, abnormal type, and treatment measures; Send the water use abnormal location, abnormal type, and treatment measures to the platform so that the platform generates a work order including the water use abnormal location, abnormal type, and treatment measures, and dispatches the work order to the engineering staff.

7. The method according to claim 1, wherein The step of collecting water consumption data within the corresponding time of the night analysis period includes: Divide the night analysis period to obtain a plurality of sub-periods; Collect water consumption data within the corresponding time of the plurality of sub-periods.

8. An alarm reminder device for abnormal water use, characterized in that, The device includes: An acquisition module for obtaining a night analysis period; A collection module for collecting water consumption data within the corresponding time of the night analysis period; A result module for, when the water consumption data meets any one of the preset water leakage conditions, determining that the water use is abnormal and generating an alarm message.

9. An alarm reminder device for abnormal water use, characterized in that, The device includes: a memory, a processor, and an alarm reminder program for abnormal water use stored on the memory and running on the processor, and the alarm reminder program for abnormal water use is configured to implement the steps of the alarm reminder method for abnormal water use according to any one of claims 1-7.

10. A storage medium, characterized in that, An alarm reminder program for abnormal water use is stored on the storage medium, and when the alarm reminder program for abnormal water use is executed by a processor, the steps of the alarm reminder method for abnormal water use according to any one of claims 1-7 are implemented.

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