A home intelligent water delivery service system and method

Abstract

This invention discloses a home intelligent water delivery service system and method, specifically relating to the field of home intelligent service technology. It includes a home-end sensing module for real-time monitoring of the remaining water in the water tank and the quality of the incoming water, and a smart water tank for unmanned handover. A cloud-based scheduling platform is communicatively connected to the home-end sensing module, the water station-end processing module, and the delivery-end execution module. This invention uses a scenario-based prediction model to integrate multi-dimensional data to accurately predict water depletion time. Based on this, it sets dynamic trigger thresholds and advance delivery time windows, ensuring that delivery instructions are issued well before the water depletion point, guaranteeing a perfect match between delivery timing and water depletion. It aims for the shortest path and ensures that the delivery completion time for each household is earlier than its predicted water depletion time. This ensures high compatibility between customized water quality and home terminal devices, extends device lifespan, and meets the personalized healthy drinking water needs of family members.

Description

Technical Field

[0001] This invention relates to the field of home intelligent service technology, and more specifically, to a home intelligent water delivery service system and method. Background Technology

[0002] In modern family life, bottled water, as a convenient and safe source of drinking water, has become a basic need for most families. The timeliness of its supply and the suitability of its water quality are directly related to the family's water security and living experience.

[0003] Currently, users mainly rely on placing orders manually via phone or app, or on simple low water level reminders. This method cannot accurately predict water demand, and delivery times are often delayed, leaving households still at risk of water outages. The water quality is also limited and cannot meet personalized needs. Commercially available bottled water has fixed water quality standards, making it difficult to adapt to different household devices, such as high-end water purifiers and baby water dispensers with specific parameters. It also cannot be customized based on user health preferences, such as mineral intake. At the same time, it is difficult to balance delivery efficiency with user experience. Existing delivery route planning is mostly geographically driven and lacks dynamic assessment of the urgency of households, making it difficult to optimize overall operational efficiency while ensuring timely delivery. Summary of the Invention

[0004] In order to overcome the above-mentioned defects of the prior art, the present invention provides a home intelligent water delivery service system and method to solve the problems mentioned in the background art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a home intelligent water delivery service system, comprising: The home-side sensing module is used to monitor the remaining water in the water tank and the quality of the incoming water in the home in real time, and is equipped with a smart water tank for unmanned handover. The cloud-based dispatch platform communicates with the home-end sensing module, the water station-end processing module, and the delivery-end execution module. The cloud-based scheduling platform includes a prediction unit, a triggering unit, and a water quality adaptation unit. The prediction unit is used to predict when the household's water will run out based on the remaining water volume and water usage-related data from the household sensing module. The triggering unit is communicatively connected to the prediction unit and is used to generate a delivery instruction when it is determined that delivery needs to be made in advance based on the water depletion time. The water quality adaptation unit is used to generate a customized water quality plan based on the water quality parameters from the home terminal sensing module and the preset water-using equipment parameters. The output terminals of the triggering unit and the water quality adaptation unit are respectively connected to the water station end processing module; The water station processing module is used to respond to the delivery instruction from the triggering unit and prepare customized water buckets according to the customized water quality scheme from the water quality adaptation unit. The delivery execution module is used to receive the delivery instruction and deliver the customized water bucket prepared by the water station processing module to the smart water tank.

[0006] Preferably, the home-side sensing module further includes a device status acquisition unit, used to obtain the rated water quality parameters and water consumption data of the household water equipment by connecting to it.

[0007] Preferably, the prediction unit is further configured to integrate one or more of environmental data, user behavior data, and historical water usage data.

[0008] Preferably, the determination conditions of the triggering unit include: the remaining water volume drops to a dynamically adjusted threshold, or the difference between the water depletion time and the current time is less than the delivery time required.

[0009] Preferably, the cloud-based scheduling platform further includes a route planning unit, which is used to plan delivery routes based on the predicted water depletion times of multiple households.

[0010] Preferably, the delivery end execution module includes a smart delivery box, which is equipped with a water quality verification unit for verifying the water quality of the customized water bucket delivered to the household smart water tank during delivery.

[0011] A method for providing intelligent home water delivery service based on the system according to any one of claims 1-6, comprising the following steps: S1: Data collection, collecting household water usage data and water quality data; S2: Prediction and triggering. Based on the collected data, predict the time when water will run out and generate delivery instructions and customized water quality solutions when preset conditions are met. S3: Water station end processing, preparing customized water buckets according to the delivery instructions and customized water quality plan; S4: Delivery execution, delivering the customized water bucket and storing it in the home's smart water tank.

[0012] Preferably, the data used to generate the customized water quality plan in step S2 includes the rated parameters of household water appliances and real-time influent water quality data.

[0013] Preferably, the method further includes a water quality assurance step: After the water station treatment step and before the delivery execution step, the water quality of the prepared customized water buckets is checked. In addition, if the review results do not meet expectations, reprocessing will be carried out and delivery will be delayed.

[0014] Preferably, the route planning in S4 includes: clustering orders based on the predicted water depletion time of multiple households, and generating a collaborative delivery route for the clustered orders.

[0015] The technical effects and advantages of this invention are as follows: By integrating multi-dimensional data, including historical water usage, equipment status, environment, and user habits, a scenario-based prediction model is used to accurately predict when water will run out. Based on this, dynamic trigger thresholds and advance delivery time windows are set, ensuring that delivery instructions are issued well before the water runs out. This guarantees that water is still available when delivery is completed, achieving a truly seamless and imperceptible water delivery experience. This fundamentally solves the problem of water outages in households and addresses the issue that existing technologies rely heavily on user-initiated orders or simple low water reminders, which cannot guarantee a perfect match between water delivery timing and water running out. By using the forward-looking prediction of water depletion time as the core basis for the route planning unit, and employing the time window clustering algorithm, orders that need to be delivered within the same time period are collaboratively planned. The delivery routes generated by this method not only pursue the shortest path, but also prioritize ensuring that the delivery completion time of each household is earlier than its predicted water depletion time. Thus, without compromising the individual user experience commitment, the centralized delivery of batch orders is achieved, significantly reducing the delivery cost per order and resolving the inherent contradiction between service quality and operational efficiency. Through a water quality adaptation algorithm, the system collaboratively analyzes real-time incoming water quality data from households, the rated parameters of water-using equipment, and user health profiles to generate a unique mineral-added, softening, or weakly alkaline treatment plan for each family. This not only ensures high compatibility between customized water quality and household terminal equipment, extending equipment lifespan, but also meets the personalized healthy drinking water needs of family members, achieving a quality leap from simply delivering water to delivering suitable water. Furthermore, a water quality verification mechanism is introduced during delivery, conducting quality re-inspections after the customized water barrels leave the warehouse and before delivery. If any deviation is detected, the system can trigger a real-time reprocessing process and dynamically adjust the delivery sequence, forming a full-chain quality assurance system from production and delivery to after-sales service. This effectively eliminates the risk of unqualified products being delivered to users. Simultaneously, the system's continuous self-optimization mechanism based on user feedback and equipment data allows the predictive model and water quality formula to continuously adapt to changing user needs and equipment status, achieving adaptive improvement and spiral evolution in service quality, providing a long-term stable experience that surpasses static systems. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the system structure of the present invention.

[0017] Figure 2 This is a schematic diagram of the method flow structure of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Example 1: A Home Intelligent Water Delivery Service System As attached Figure 1 As shown, the system provided in this embodiment mainly includes a home-end sensing module 100, a cloud-based dispatching platform 200, a water station-end processing module 300, and a delivery-end execution module 400. The home-side sensing module 100 specifically includes a water volume monitoring unit 101, a water quality detection unit 102, a smart water tank 103, and a device status acquisition unit 104; The water level monitoring unit 101 uses a high-precision ultrasonic level sensor, which is installed at the bottom of a standard 18.9L household water tank. The sensor collects the remaining water level once per minute and uploads the data to the cloud scheduling platform 200 via an NB-IoT communication module. The water quality testing unit 102 includes a TDS sensor and a pH sensor. The unit is installed on the main water inlet pipe of the household to collect the TDS value and pH value of the incoming water in real time. The smart water tank 103 is a waterproof cabinet with RFID card unlocking function, fixed in front of the user's door, used to receive and temporarily store delivered water buckets; The device status acquisition unit 104 connects to the smart water purifier in the home via a Wi-Fi interface to obtain the water purifier's rated inlet water quality parameters TDS≤50ppm, current flow rate, and remaining filter life data. The cloud-based dispatching platform 200 includes a prediction unit 201, a triggering unit 202, a water quality adaptation unit 203, and a path planning unit 204. The platform establishes TCP / IP protocol connections with the home-end sensing module 100, the water station-end processing module 300, and the delivery-end execution module 400 via the Internet to exchange data. The prediction unit 201 runs a prediction model based on an LSTM neural network. The input data of the model includes: real-time remaining water volume from the water monitoring unit 101, average daily water consumption of the water purifier from the device status acquisition unit 104, environmental data from the household temperature and humidity sensor, and the number of permanent residents in the household as preset by the user. The model outputs the predicted time point when the water will be exhausted within the next 24 hours. The triggering unit 202 is connected to the data output terminal of the prediction unit 201. The judgment logic of the triggering unit 202 is: when the remaining water volume is less than 20% of the total capacity, or when the difference between the predicted water depletion time and the current time is less than 18 hours, a delivery instruction is generated. The water quality adaptation unit 203 is connected to the water quality detection unit 102 and the equipment status acquisition unit 104. Based on the real-time influent TDS value, pH value and the water purifier's rated parameter TDS≤50ppm, the unit generates a softening treatment plan that customizes the effluent TDS value to 30ppm. The route planning unit 204 is used to handle multiple order deliveries. The unit uses a clustering algorithm to group household orders whose predicted water depletion times differ by 2 hours into the same delivery cluster and plan a delivery route with the shortest total travel time for the cluster. The water station processing module 300 receives the delivery instruction from the trigger unit 202 and the customized solution from the water quality adaptation unit 203. The TDS is 30ppm. The production line is started to prepare the customized water bucket that meets the requirements and a unique traceability code is affixed to the bucket.

[0020] The delivery execution module 400 includes a smart delivery box 401. The smart delivery box 401 has a built-in GPS positioning module and a water quality verification unit 402 consisting of a micro TDS pen. After receiving the instructions and route, the deliveryman uses the water quality verification unit 402 to check the water quality in the bucket when loading the vehicle. If the TDS reading is 32ppm, which is within the allowable ±5% deviation, the delivery is executed. After delivery, the deliveryman swipes the RFID card to open the smart water tank 103 to complete the handover. The system then updates the water volume data of the household to show that the bucket is full.

[0021] Example 2: A method for providing intelligent home water delivery service As attached Figure 2 As shown, the method provided in this embodiment is based on the system of Embodiment 1 and includes the following steps: S1: Data collection. The home terminal sensing module 100 collects the remaining water volume, inlet water TDS value, water purifier filter life, and water purifier filter life remaining at 10%, and uploads the data to the cloud.

[0022] S2: Prediction and Triggering. The cloud prediction unit 201 predicts based on data that the water supply will be exhausted at 14:00 tomorrow. The triggering unit 202 determines that the time difference is less than 18 hours and generates a delivery instruction. At the same time, the water quality adaptation unit 203 generates a plan to treat the water to TDS=30ppm based on the influent TDS value of 100ppm and the water purifier requirement of TDS≤50ppm.

[0023] S3: Water station processing. The water station receives instructions and plans, prepares water in a bucket with TDS=30ppm, and releases it from the warehouse.

[0024] S4: Delivery execution. The route planning unit 204 will cluster the other two family orders that will also be exhausted around 2 PM tomorrow with this order to generate a collaborative delivery route. The delivery person will deliver according to the route and conduct water quality verification along the way. After confirming that the water quality is qualified, the unmanned handover will be completed.

[0025] S5: Feedback optimization. The system detects that the water purifier filter cartridge lifespan is below 10%. After completing this delivery, it pushes a filter cartridge replacement reminder to the user via the APP and records the water purifier's output efficiency data after this delivery for fine-tuning the next water quality adaptation plan.

[0026] In addition, the method also includes a water quality assurance sub-process: after S3, if the deliveryman finds that the water TDS value exceeds the standard, such as reaching 40ppm, during the loading check in S4, he will report it to the cloud via mobile terminal. The cloud platform will immediately send a reprocessing instruction to the water station and postpone the delivery time window of this order by 3 hours, giving priority to other qualified orders in this batch.

[0027] Finally, it should be noted that the accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other. In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A home intelligent water delivery service system, characterized in that: include: The home-side sensing module is used to monitor the remaining water in the water tank and the quality of the incoming water in the home in real time, and is equipped with a smart water tank for unmanned handover. The cloud-based dispatch platform communicates with the home-end sensing module, the water station-end processing module, and the delivery-end execution module. The cloud-based scheduling platform includes a prediction unit, a triggering unit, and a water quality adaptation unit. The prediction unit is used to predict when the household's water will run out based on the remaining water volume and water usage-related data from the household sensing module. The triggering unit is communicatively connected to the prediction unit and is used to generate a delivery instruction when it is determined that delivery needs to be made in advance based on the water depletion time. The water quality adaptation unit is used to generate a customized water quality plan based on the water quality parameters from the home terminal sensing module and the preset water-using equipment parameters. The water station processing module is used to respond to the delivery instruction from the triggering unit and prepare customized water buckets according to the customized water quality scheme from the water quality adaptation unit. The output terminals of the triggering unit and the water quality adaptation unit are respectively connected to the water station end processing module; The delivery execution module is used to receive the delivery instruction and deliver the customized water bucket prepared by the water station processing module to the smart water tank.

2. The home intelligent water delivery service system according to claim 1, characterized in that: The home-side sensing module also includes a device status acquisition unit, which is used to obtain the rated water quality parameters and water consumption data of the household water equipment by connecting to it.

3. The home intelligent water delivery service system according to claim 1, characterized in that: The prediction unit is also used to integrate one or more of environmental data, user behavior data, and historical water usage data.

4. The home intelligent water delivery service system according to claim 1, characterized in that: The triggering unit's determination conditions include: the remaining water volume decreasing to a dynamically adjusted threshold, or the difference between the water depletion time and the current time being less than the delivery time required.

5. The home intelligent water delivery service system and method according to claim 1, characterized in that: The cloud-based dispatching platform also includes a route planning unit, which is used to plan delivery routes based on the predicted water depletion times of multiple households.

6. The home intelligent water delivery service system and method according to claim 1, characterized in that: The delivery end execution module includes a smart delivery box, which is equipped with a water quality verification unit for verifying the water quality of the customized water bucket delivered to the household smart water tank during delivery.

7. A method for providing intelligent home water delivery service based on the system described in any one of claims 1-6, characterized in that: Includes the following steps: S1: Data collection, collecting household water usage data and water quality data; S2: Prediction and triggering. Based on the collected data, predict the time when water will run out and generate delivery instructions and customized water quality solutions when preset conditions are met. S3: Water station end processing, preparing customized water buckets according to the delivery instructions and customized water quality plan; S4: Delivery execution, delivering the customized water bucket and storing it in the home's smart water tank.

8. A method for providing intelligent home water delivery service according to claim 7, characterized in that: The data used to generate the customized water quality plan in S2 includes the rated parameters of household water appliances and real-time influent water quality data.

9. A method for providing intelligent home water delivery service according to claim 7, characterized in that: The method also includes water quality assurance steps: After the water station treatment step and before the delivery execution step, the water quality of the prepared customized water buckets is checked. In addition, if the review results do not meet expectations, reprocessing will be carried out and delivery will be delayed.

10. A method for providing intelligent home water delivery service according to claim 7, characterized in that: The method according to claim 7, wherein the route planning in S4 includes: clustering orders based on the predicted water depletion time of multiple households, and generating a collaborative delivery route for the clustered orders.

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