A statistical method for intelligent water consumption and water charges based on big data
A water consumption and smart water meter technology, applied in data processing applications, general water supply conservation, calculation, etc., can solve problems such as the owner's dissatisfaction, inability to fully indicate the water consumption situation, and community property troubles, so as to ensure effectiveness and solve property problems. troubles, avoid contradictory effects
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Embodiment 1
[0089] According to an embodiment of the present invention, a smart water consumption and water charge statistical method for smart water meters is proposed, such as figure 1 shown, including:
[0090] Step 101: Each smart water meter monitors the running water status in real time;
[0091] Specifically, the smart water meters located in each family monitor the running water status of the corresponding family in real time.
[0092] Step 102: When it is detected that there is running water, generate a running water record;
[0093] Among them, generate water records, including:
[0094] Record running water time and monitor running water volume;
[0095] Generate water records according to the recorded water flow time, monitored water flow and its own equipment identification.
[0096] In this application, whenever there is a flow of water, a corresponding flow record is generated for subsequent corresponding users to view, so that the water consumption of their own home ca...
Embodiment 2
[0107] According to the implementation mode of the present application, a kind of intelligent water consumption and water fee statistics method for the node server is also proposed, such as figure 2 shown, including:
[0108] Step 201: Each node server obtains the water flow record broadcast by each smart water meter;
[0109] Specifically, each node server obtains the record ciphertext broadcast by each smart water meter.
[0110] Step 202: Each node server caches the obtained flow records, and identifies the flow records broadcast by the smart water meter that have an association relationship with itself in the cached flow records;
[0111] Wherein, the flow records acquired by each node server cache are specifically: the record ciphertext acquired by each node server cache;
[0112] Correspondingly, in step 202, in the cached water record, identify the water record broadcasted by the smart water meter with an association relationship, including:
[0113] Decrypt the cip...
Embodiment 3
[0142] According to the implementation mode of this application, a kind of intelligent water consumption and water fee statistics method is also proposed, such as image 3 shown, including:
[0143] Step 301: Each smart water meter monitors the running water status in real time, and generates a running water record when a running water is detected;
[0144] Step 302: When the first preset time point is reached, each smart water meter broadcasts each flow record generated by itself;
[0145] Step 303: Each node server obtains the water flow record broadcast by each smart water meter;
[0146] Step 304: Each node server caches the obtained flow records, and identifies the flow records broadcast by the smart water meter that has an association relationship with itself in the cached flow records;
[0147] Step 305: Each node server counts the corresponding total amount of running water and water fee according to the identified running water records;
[0148] Step 306: Each node...
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