A data monitoring system

By designing a data monitoring system, the problem of enterprises having difficulty fully understanding the data of water purifiers and filter cartridges has been solved, enabling multi-dimensional analysis and early warning, and improving user experience and enterprise management efficiency.

CN115481524BActive Publication Date: 2026-03-03QINGDAO HAIER STRAUSS WATER EQUIP CO LTD +1
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Patent Information

Application Number
CN202210131946.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-02-14
Publication Date
2026-03-03
Estimated Expiration
2042-02-14

AI Technical Summary

Technical Problem

Enterprises struggle to fully understand data on water purifiers and filter cartridges from different regions, making it impossible to conduct multi-dimensional analysis and derive valuable correlation information.

Method used

Design a data monitoring system, including a first data acquisition module, a second data acquisition module, a data analysis module, and an early warning module, which are used to acquire water purifier installation data, filter cartridge installation data, and after-sales filter cartridge replacement data, and to perform multi-dimensional data analysis and early warning.

Benefits of technology

It enables real-time monitoring and management of sales centers and after-sales outlets across the country, and derives valuable related information such as core replacement rate, anti-counterfeiting prediction, and inventory prediction, thereby improving user experience and enterprise management efficiency.

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Abstract

The embodiment of the present application discloses a data monitoring system applied to the monitoring of filter cartridges of water purifiers, comprising a first data acquisition module for acquiring installation data of water purifiers of each sales center and installation data of filter cartridges matched with the water purifiers; a second data acquisition module for acquiring serviceman replacement data of filter cartridges of each after-sales site; a data analysis module in communication with the first data acquisition module and the second data acquisition module respectively, for determining life state data of the filter cartridges according to the installation data of the water purifiers, the installation data of the filter cartridges and the serviceman replacement data of the filter cartridges; and an early warning module in communication with the first data acquisition module, the second data acquisition module and the data analysis module respectively, for determining inventory data, anti-fake data and replacement rate data of the filter cartridges according to the installation data of the filter cartridges, the life state data of the filter cartridges and / or the serviceman replacement data of the filter cartridges, and performing early warning. The technical scheme provided by the embodiment of the present application solves the problem that multi-dimensional analysis cannot be realized and valuable associated information cannot be derived due to single data source.
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Description

Technical Field

[0001] This invention relates to the field of data monitoring technology, and more particularly to a data monitoring system. Background Technology

[0002] With the development and improvement of science and technology, household appliances have an increasingly greater impact on people's lives. Among them, water purifiers have become an indispensable type of household appliance, and the filter element of a water purifier is the core component of the entire water purifier.

[0003] For companies that sell in multiple regions, it is difficult to have a comprehensive understanding of the sales or after-sales data of water purifiers and water purifier filter cartridges in different regions. Moreover, the data obtained is often singular, making it difficult to conduct multi-dimensional analysis and derive valuable correlation information. Summary of the Invention

[0004] This invention provides a data monitoring system to solve the problem that multi-dimensional analysis and the derivation of valuable correlation information cannot be achieved due to a single data source.

[0005] This invention provides a data monitoring system for monitoring the filter cartridges of a water purifier. The system includes a first data acquisition module, a second data acquisition module, a data analysis module, and an early warning module.

[0006] The first data acquisition module is used to acquire the installation data of the water purifiers in each sales center and the installation data of the filter cartridges that match the water purifiers;

[0007] The second data acquisition module is used to acquire the service personnel replacement data of the filter element at each after-sales service outlet;

[0008] The data analysis module communicates with the first data acquisition module and the second data acquisition module respectively, and is used to determine the life status data of the filter element based on the installation data of the water purifier, the installation data of the filter element, and the service personnel replacement data of the filter element.

[0009] The early warning module communicates with the first data acquisition module, the second data acquisition module, and the data analysis module respectively, and is used to determine the filter element's inventory data, anti-counterfeiting data, and filter element replacement rate data based on the filter element's installation data, the filter element's lifespan status data, and / or the filter element's service personnel replacement data, and to issue an early warning.

[0010] In this embodiment of the invention, a first data acquisition module acquires installation data of water purifiers and filter cartridges matching the water purifiers at each sales center; a second data acquisition module acquires service personnel replacement data of filter cartridges at each after-sales service outlet; a data analysis module determines the lifespan status data of the filter cartridges based on the installation data of the water purifiers, the installation data of the filter cartridges, and the service personnel replacement data of the filter cartridges, enabling the data analysis module 30 to perform multi-dimensional data analysis and statistics based on multiple different data sources, obtaining data on expired or soon-to-expire filter cartridges, etc.; an early warning module then determines the inventory data, anti-counterfeiting data, and replacement rate data of the filter cartridges based on the installation data, lifespan status data, and / or service personnel replacement data of the filter cartridges, and issues early warnings. In this way, valuable correlation information, such as replacement rate, anti-counterfeiting prediction, and inventory prediction, can be derived through the statistical analysis of multi-dimensional data, and early warning prompts can be issued, making each sales center and after-sales service outlet pay more attention. In this embodiment, the data monitoring system can acquire, clean, filter, and analyze multidimensional data to achieve real-time monitoring and management of sales centers and after-sales outlets across the country, derive valuable related information from multiple aspects, promote the improvement and optimization of sales centers and after-sales outlets, and enhance the user experience. Attached Figure Description

[0011] Figure 1 This is a schematic diagram of the structure of a data monitoring system provided in an embodiment of the present invention;

[0012] Figure 2 This is a schematic diagram of another data monitoring system provided in an embodiment of the present invention. Detailed Implementation

[0013] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present invention, and not all of the structures.

[0014] Figure 1 This is a schematic diagram of the structure of a data monitoring system provided in an embodiment of the present invention, as shown below. Figure 1As shown, this system is used for monitoring the filter cartridges of water purifiers, including a first data acquisition module 10, a second data acquisition module 20, a data analysis module 30, and an early warning module 40. The first data acquisition module 10 is used to acquire the installation data of water purifiers and the installation data of filter cartridges that match the water purifiers at each sales center. The second data acquisition module 20 is used to acquire the service personnel replacement data of filter cartridges at each after-sales service outlet. The data analysis module 30 communicates with the first data acquisition module 10 and the second data acquisition module 20 respectively, and is used to determine the life status data of the filter cartridges based on the installation data of the water purifiers, the installation data of the filter cartridges, and the service personnel replacement data of the filter cartridges. The early warning module 40 communicates with the first data acquisition module 10, the second data acquisition module 20, and the data analysis module 30 respectively, and is used to determine the inventory data, anti-counterfeiting data, and replacement rate data of the filter cartridges based on the installation data, life status data, and / or service personnel replacement data of the filter cartridges, and to issue early warnings.

[0015] The installation data for the water purifier refers to the specific model, installation time, or installation address of the water purifier installed by the user. It is understandable that different types of water purifiers may use different filter cartridges. Therefore, the installation data for the filter cartridges that match the water purifier refers to the specific model and quantity of the filter cartridges that match the water purifier installed by the user.

[0016] The filter replacement data refers to the installation data of the service personnel dispatched by the after-sales service outlet to help users replace the filter, including the model and quantity of the original filter, as well as the type and quantity of the replacement filter.

[0017] Specifically, each sales region is covered by multiple sales centers and after-sales service outlets. Usually, one sales center corresponds to one after-sales service outlet, or multiple sales centers correspond to one after-sales service outlet. The first data acquisition module 10 can collect the installation data of water purifiers and the installation data of filter cartridges that match the water purifiers in each sales center across the country. It is understandable that a water purifier is usually configured with a matching filter cartridge, and the number of filter cartridges is not limited to one. For example, a water purifier is configured with 5 filter cartridges.

[0018] The second data acquisition module 20 can collect data on filter replacement by service personnel at after-sales service outlets across the country. Understandably, when the filter of a water purifier is damaged or expired, users usually submit an application to request the after-sales service outlet to come and replace and install it. After receiving the corresponding work order, the service personnel at the after-sales service outlet will provide on-site service and replace the filter with a new one according to the model of the water purifier and the model of the filter.

[0019] The data analysis module 30 can perform data cleaning, filtering and analysis on the installation data of the water purifier, the installation data of the filter cartridges and the service personnel replacement data of the filter cartridges obtained by the first data acquisition module 10 and the second data acquisition module 20 to determine the life status data of the filter cartridges within a certain period of time, such as the number and type of filter cartridges that will expire within 7 days, or the number and type of filter cartridges that have already expired. The monitored life status data of the filter cartridges is then sent to the early warning module 40.

[0020] The early warning module 40 can determine the inventory data of each sales center based on the statistical data of filter installation, filter life status, and / or filter replacement data by service personnel. It can also screen out anti-counterfeiting data and areas where filter counterfeits may exist, calculate the filter replacement rate data and replacement rate trend of each sales center or after-sales outlet, and issue early warnings for insufficient inventory data, the existence of counterfeit filters, and low filter replacement rates, reminding each sales center or after-sales outlet to conduct self-checks or make improvements.

[0021] It should be noted that the monitoring system may also include a display module. This display can communicate with the first data acquisition module 10, the second data acquisition module 20, the data analysis module 30, and the early warning module 40 to display all data, so that the company headquarters, sales centers, after-sales outlets, and relevant staff can see it in a timely manner and make improvements and optimizations based on the relevant early warnings.

[0022] In this embodiment of the invention, the first data acquisition module acquires the installation data of water purifiers and the installation data of filter cartridges matching the water purifiers at each sales center; the second data acquisition module acquires the service personnel replacement data of filter cartridges at each after-sales service outlet; the data analysis module determines the lifespan status data of the filter cartridges based on the installation data of the water purifiers, the installation data of the filter cartridges, and the service personnel replacement data of the filter cartridges, so that the data analysis module 30 can perform multi-dimensional data analysis and statistics based on multiple different data sources to obtain data on expired filter cartridges or filter cartridges that are about to expire; the early warning module then determines the inventory data, anti-counterfeiting data, and replacement rate data of the filter cartridges based on the installation data, lifespan status data, and / or service personnel replacement data of the filter cartridges, and issues early warnings. In this way, valuable correlation information can be derived through the statistical analysis of multi-dimensional data, such as replacement rate, anti-counterfeiting prediction, and inventory prediction, and early warning prompts can be issued to make each sales center and after-sales service outlet pay more attention. In this embodiment, the data monitoring system can acquire, clean, filter, and analyze multidimensional data to achieve real-time monitoring and management of sales centers and after-sales outlets across the country, derive valuable related information from multiple aspects, promote the improvement and optimization of sales centers and after-sales outlets, and enhance the user experience.

[0023] Optionally, the installation data for the water purifier includes the water purifier model, installation time, and user information; the installation data for the filter cartridges includes the filter cartridge model and the number of filter cartridges.

[0024] Specifically, by obtaining the water purifier model, installation time, and user information, the lifespan of the matching filter cartridge can be determined based on the installation time, such as whether it has expired or has been replaced. For filter cartridges nearing their expiration date and those that have already expired and need replacement, the filter cartridge model and quantity from the installation data can be used to prepare inventory in advance. This allows after-sales service outlets to process these cartridges as needed and promptly remind users, improving the user experience.

[0025] Optionally, the service replacement data for the filter cartridges includes: water purifier model, filter cartridge model, number of filter cartridges, replacement time, and user information.

[0026] Specifically, by obtaining data on filter replacement from service personnel, such as the water purifier model, filter model, number of filters, replacement time, and user information, comprehensive monitoring and statistics of the filters in the water purifier can be achieved. For example, the replacement rate of different types of filters can be calculated, including the proportion of replacements by service personnel and the proportion of replacements by users themselves.

[0027] Optionally, the filter life status data includes: data on filters that are about to expire, data on filters that have already expired, and data on filters that have actually been replaced.

[0028] The actual filter replacement data includes the number of filters that have been replaced, but the number of filters replaced is not necessarily the same as the number of filters replaced in the service personnel's data. It may also include the number of filters replaced by the user.

[0029] Specifically, the filter cartridge installation data includes the filter cartridge type and installation time. Analysis can determine if any filter cartridges have expired, and further, based on service replacement data, confirm whether expired cartridges have already been replaced. For non-expired filter cartridges, it can be further determined whether any will expire within the next few days, for example, within 7 days. Thus, based on the water purifier's installation data, filter cartridge installation data, and service replacement data, data on soon-to-expire filters, expired filters, and actual replacement filters are determined. Different measures are then implemented for different filter cartridge lifespan stages to improve the user experience. For example, for filter cartridges that are about to expire, users can be reminded to replace them in time; for filter cartridges that have already expired, it can be determined whether the user has replaced them. If the user has not replaced them, they should be reminded to replace them in time. If the user has replaced them, the actual filter cartridge replacement data can be further analyzed to determine whether the replacement was done by a service provider or by the user themselves. This data can be used for anti-counterfeiting prediction. Alternatively, for filter cartridges with a low replacement rate, the filter cartridge structure design can be optimized to reduce the difficulty of installation, allowing users to install them themselves, reducing the cost of on-site installation by service personnel, and improving the user experience.

[0030] Optionally, the filter cartridge life status data includes data on filters that are about to expire; the early warning module 40 is used to issue a stock replenishment warning when it detects that the filter cartridge inventory data is less than the data on filters that are about to expire.

[0031] The filter cartridge inventory data includes the filter cartridge model and quantity, while the data for filters that are about to expire includes the filter cartridge model, quantity, and user information. Understandably, the user information includes the installation address, etc.

[0032] Specifically, when the number of filter cartridges of the same model that are about to expire is large, and the inventory data of each sales center or after-sales service outlet in the area where the water purifier is installed is less than the number of filter cartridges that are about to expire, the early warning module 40 will issue a stock preparation warning, reminding each sales center or after-sales service outlet in the corresponding area to prepare stock in advance, so as to prevent the inability to replace the filter cartridges in time when they expire, which would affect the use of the filter cartridges and reduce the user experience.

[0033] Optionally, the filter element life status data includes actual filter element replacement data; the early warning module 40 is used to issue an anti-counterfeiting warning when it detects that the service replacement data of the filter element is less than the actual replacement data.

[0034] Specifically, when the number of filter replacements detected by service personnel is less than the actual number of filter replacements, it indicates that the user may have replaced the filter themselves. The system will then monitor the water purifier's operating status in real time to determine if the filter replaced by the user is of the same type. If not, it indicates that there may be counterfeit filter cartridges (i.e., non-genuine filter cartridges) in the area. The system will then issue an anti-counterfeiting warning through the early warning module 40, reminding sales centers or after-sales service outlets in each region to conduct self-checks and investigations.

[0035] It is understandable that installing counterfeit filter cartridges on a water purifier may affect its normal operation or purification effect, which will directly impact the user experience. Therefore, anti-counterfeiting warnings can promptly remind users to use filter cartridges that match the type of water purifier, thereby improving the user experience.

[0036] Optionally, the filter element life status data includes: expired filter element data; the early warning module 40 is used to determine the filter element replacement rate data based on the expired filter element data and the filter element service replacement data, and to issue a low replacement rate early warning when the filter element replacement rate data is detected to be less than a preset threshold.

[0037] The filter replacement rate data includes replacement rate data for different regions, replacement rate data for different after-sales service outlets, and replacement rate data for different filter models.

[0038] Specifically, by acquiring data on expired filter cartridges and filter cartridge replacement data from service personnel, the filter cartridge replacement rate can be further calculated. When the filter cartridge replacement rate is detected to be lower than a preset threshold, the early warning module 40 issues a low replacement rate warning, allowing headquarters and sales centers or service personnel to clearly monitor the filter cartridge replacement status in their respective areas. This, in turn, can urge sales centers or after-sales service outlets to proactively contact users to remind them to replace the filter cartridges in a timely manner, thereby improving the user experience.

[0039] Optionally, the filter element life status data includes actual filter element replacement data; the data analysis module 30 is used to determine the service personnel replacement data and user replacement data for the same type of filter element based on the actual filter element replacement data; the early warning module 40 is also used to issue an early warning for filter element optimization when the service personnel replacement data is detected to be greater than the user replacement data.

[0040] Specifically, the data analysis module 30 can further statistically analyze the service personnel replacement data and user replacement data based on the actual filter replacement data obtained, and calculate the proportion of service personnel replacement data and user replacement data. When the service personnel replacement data exceeds the user replacement data, a filter optimization warning is issued. This reminds design and development personnel to further clean and analyze the data, correlate the differences in filter installation schemes across different water purifier units, deduce the impact of different installation methods on user experience, and optimize and adjust the filter installation structure design on the water purifier unit. This reduces installation difficulty, allowing users to purchase and install the same type of filter themselves, saving on service personnel installation costs and improving the user experience.

[0041] Optionally, the data analysis module 30 is used to determine the usage type of the water purifier based on the installation data of the water purifier. If the water purifier is a smart water purifier, it monitors the status of the filter element in real time to determine the life status data of the filter element. If the water purifier is a non-smart water purifier, it determines the life status data of the filter element based on the installation data of the filter element.

[0042] Specifically, based on the acquired installation data of the water purifier, the system determines whether the water purifier is a smart or non-smart type. For smart water purifiers, the filter lifespan data can be obtained by monitoring the working status of the filter cartridge in real time. For example, when the filter cartridge expires, the water purifier will report the expired filter cartridge to the monitoring system. When the filter cartridge is replaced, the filter cartridge in the water purifier will generate a reset signal, and the water purifier will then report the filter cartridge replacement signal to the monitoring system. Thus, the first acquisition module 10 can obtain the filter cartridge lifespan data based on the installation status of the water purifier and the installation status of the filter cartridge. For non-smart water purifiers, based on the filter cartridge installation or replacement work order information, the activation time of the filter cartridge is determined, and based on the corresponding filter cartridge usable lifespan information, the time when the filter cartridge needs to be replaced is deduced, thus determining the filter cartridge lifespan data, i.e., whether it is about to expire or has already expired.

[0043] Optional, Figure 2 This is a schematic diagram of another data monitoring system provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the filter life status data includes data on filters that are about to expire; the early warning module 40 communicates with the smart terminal 50 and is also used to send replacement reminders and push purchase information to the smart terminal 50 based on the data on filters that are about to expire.

[0044] The smart terminal 50 can be a user's mobile phone or tablet, etc., and this embodiment of the invention does not impose any special limitations on it.

[0045] Specifically, the early warning module 40 communicates with the smart terminal 50. When the early warning module 40 detects data indicating that a filter cartridge is about to expire or has already expired, it can proactively send replacement reminders and push purchase information to the user by further associating the user's installation or purchase information. For example, it can push filter cartridge expiration reminders and purchase links through APP, mini-program (official account), or SMS to remind the user to replace the filter cartridge in time, so as to avoid expired filter cartridges affecting the water purification function of the water purifier and reducing the user's user experience.

[0046] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, combinations, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A data monitoring system, characterized in that, The system for monitoring filter cartridges in water purifiers includes a first data acquisition module, a second data acquisition module, a data analysis module, and an early warning module. The first data acquisition module is used to acquire the installation data of the water purifiers in each sales center and the installation data of the filter cartridges that match the water purifiers; The second data acquisition module is used to acquire the filter replacement data of the service personnel at each after-sales service outlet; The data analysis module communicates with the first data acquisition module and the second data acquisition module respectively, and is used to determine the life status data of the filter element based on the installation data of the water purifier, the installation data of the filter element, and the service personnel replacement data of the filter element. The early warning module communicates with the first data acquisition module, the second data acquisition module, and the data analysis module respectively, and is used to determine the filter element's inventory data, anti-counterfeiting data, and replacement rate data based on the filter element's installation data, the filter element's lifespan status data, and / or the filter element's service personnel replacement data, and to issue an early warning. The lifespan status data of the filter element includes data on expired filter elements; The early warning module is used to determine the filter replacement rate data based on the expired filter data and the filter replacement data by the service personnel, and to issue a low replacement rate warning when the filter replacement rate data is detected to be less than a preset threshold; wherein, the filter replacement rate data includes replacement rate data of different regions, replacement rate data of different after-sales service outlets, and replacement rate data of different filter models; The lifespan data of the filter element includes: actual filter element replacement data; The data analysis module is used to determine the service personnel replacement data and user replacement data for the same type of filter based on the actual filter replacement data. The early warning module is also used to issue an early warning that the filter needs to be optimized when it detects that the service personnel replacement data is greater than the user replacement data.

2. The data monitoring system according to claim 1, characterized in that, The lifespan status data of the filter element includes data on filter elements that are about to expire; The early warning module is used to issue a stock replenishment warning when it detects that the inventory data of the filter element is less than the data of the filter elements that are about to expire.

3. The data monitoring system according to claim 1, characterized in that, The filter element life status data includes actual filter element replacement data; The early warning module is used to issue an anti-counterfeiting warning when it detects that the service personnel's replacement data for the filter element is less than the actual replacement data.

4. The data monitoring system according to claim 1, characterized in that, The lifespan status data of the filter element includes: data on filter elements that are about to expire; The early warning module communicates with the smart terminal and is also used to send replacement reminders and push purchase information to the smart terminal based on the data of the filter cartridge that is about to expire.

5. The data monitoring system according to claim 1, characterized in that, The data analysis module is used to determine the usage type of the water purifier based on the installation data of the water purifier. If the water purifier is a smart water purifier, it monitors the status of the filter element in real time to determine the lifespan status data of the filter element. If the water purifier is a non-smart water purifier, it determines the lifespan status data of the filter element based on the installation data of the filter element.

6. The data monitoring system according to claim 1, characterized in that, The installation data for the water purifier includes the water purifier model, installation time, and user information; The installation data for the filter element includes: filter element model and filter element quantity.

7. The data monitoring system according to claim 1, characterized in that, The service replacement data for the filter cartridges includes: water purifier model, filter cartridge model, number of filter cartridges, replacement time, and user information.

Citation Information

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