TWI614465B - System and method for predicting water heater failure - Google Patents

Abstract

The invention relates to a system and a method for predetermining an abnormality of a water heater, the method comprising: (a) detecting a water quantity change, a combustion state, a water temperature change, and a fan state of the water heater, corresponding to generating water quantity data, combustion state data, water temperature data And the fan status data; (b) periodically outputting the water quantity data, the combustion status data, the water temperature data, and the fan status data to the cloud processing device for storage; (c) the amount of water to be periodically received and stored Data, the combustion state data, the water temperature data, and the fan state data are analyzed by the cloud processing device for big data analysis to determine whether the water heater is abnormal; and (d) if the water heater is abnormal At the same time, the corresponding reminder message is output.

Description

System and method for predetermining water heater abnormality

The invention relates to a system and a method for judging abnormality of a water heater, in particular to a system and a method for predetermining an abnormality of a water heater by using a cloud mode.

According to the fact that in view of the fact that the user is not always aware of the current situation of the water heater, a manufacturer has provided a hot water supply system (patent number: M363567) that can be remotely monitored and managed, and the documented manager can access the host computer (70) at any time. The picture-controlled human-machine interface (72) and even the remote control device (86) know the water temperature information and operation information of the sink end and the user end to judge the possible malfunction of the device or the improper operation of the resident, and thus execute the far The end control is tuned or quickly notified to the user or maintenance personnel. Therefore, the prior art is to wait until an abnormality occurs before the manager judges that the device may be malfunctioning or the improper operation of the resident, that is, after the user may have washed the cold water, the manager may determine the possible malfunction of the device or The improper operation of the households is handled by the staff, and only the lack of after-the-fact remedies can be taken.

The reason is that the inventors have felt that the above-mentioned deficiency can be improved, and it is the application of the research and coordination with the theory, and finally proposes a invention which is reasonable in design and effective in improving the above-mentioned deficiency.

The object of the present invention is to provide a system and method for predetermining an abnormality of a water heater, which can prejudge that the water heater will have an abnormality before an abnormality occurs in the water heater, so as to send a member to perform maintenance and maintenance before an abnormality occurs.

In order to achieve the above, the present invention provides a method for predetermining an abnormality of a water heater, comprising: (a) detecting a water quantity change, a combustion state, a water temperature change, and a fan state of the water heater, corresponding to generating water quantity data and combustion state data. , water temperature data, and fan status data; (b) periodically outputting the water quantity data, the combustion status data, the water temperature data, and the fan status data to the cloud processing device for storage; (c) periodically receiving and The stored water quantity data, the combustion state data, the water temperature data, and the fan state data are analyzed by the cloud processing device for big data analysis to determine whether the water heater is abnormal; and (d) if the water temperature is predicted When the water heater has an abnormality, it corresponds to the output reminder message.

In order to achieve the above, the present invention provides a system for predetermining an abnormality of a water heater, comprising: a water heater provided with: a water sensing module for detecting a change in the water volume of the water heater; and a water detecting water for detecting the water heater a temperature-changing water temperature sensing module, a combustion state sensing module for detecting a combustion state of the water heater, a fan state sensing module for detecting a state of the water heater fan, and an electrical connection The water quantity sensing module, the water temperature sensing module, the combustion state sensing module and the fan state sensing module respectively obtain water quantity data, water temperature data, combustion state data, and fan state data control devices, And for periodically outputting the water quantity data, the water temperature data, the combustion state data and the fan state data; and the cloud processing device, the communication is connected to the water heater, and periodically receiving and storing the water quantity data and the water temperature data The combustion state data and the fan state data are used to perform large according to the water amount data, the water temperature data, the combustion state data, and the fan state data. According to the analysis, thereby determining whether the pre-heater will be abnormal, and when it is determined that the food will be exceptions, the corresponding output alert messages.

As described above, the present invention provides a system and method for predetermining an abnormality of a water heater, and correspondingly generating water quantity data, combustion state data, water temperature data, by detecting water quantity change, combustion state, water temperature change, and fan state of the water heater, And fan Status data, and periodically outputting the water quantity data, the combustion state data, the water temperature data, and the fan state data to the cloud processing device for storage, and after performing the big data analysis, it is determined in advance whether the water heater has an abnormality And when it is found that the water heater will be abnormal, the corresponding reminder message is output to remind the management personnel to go for maintenance. Therefore, the present invention can effectively detect and obtain relevant data of the water heater and periodically output to the cloud processing device for storage, and performing big data analysis via the cloud processing device can increase the accuracy of predicting whether the water heater will be abnormal. In this way, the management personnel can send personnel to the maintenance and maintenance before the user washes the cold water, and the prior art is relieved to wait until the abnormality occurs before the manager judges that the equipment may be malfunctioning or the improper operation of the household. Only the lack of ex post remedies can be taken.

100‧‧‧Water heater

10‧‧‧Water Sensing Module

20‧‧‧Combustion state sensing module

30‧‧‧Water temperature sensing module

40‧‧‧Fan state sensing module

50‧‧‧Control device

60‧‧‧cutting module

70‧‧‧Input module

200‧‧‧Cloud processing unit

201‧‧‧Database

300‧‧‧Communication network

S201-S209‧‧‧Steps

FIG. 1 is a schematic diagram of the architecture of the present invention.

2 is a schematic diagram of a detailed structure of the present invention.

Figure 3 is a flow chart of the method of the present invention.

The following is a description of an embodiment of the present invention relating to a "system and method for pre-determining abnormality of a water heater" by a specific embodiment, and those skilled in the art can easily understand the advantages of the present invention by the contents disclosed in the present specification. With the effect. The present invention may be carried out or applied in various other specific embodiments, and various modifications and changes can be made without departing from the spirit and scope of the invention. In addition, the drawings of the present invention are merely illustrative and are not intended to be construed in terms of actual dimensions. The following embodiments will further explain the related technical content of the present invention, but the disclosure is not intended to limit the technical scope of the present invention.

Referring to FIG. 1 to FIG. 2, an embodiment of the present invention provides a system that can pre-determine an abnormality of a water heater. The system that can pre-determine the abnormality of the water heater mainly includes the water heater 100 And the cloud processing device 200. The number of the water heaters 100 may be plural, and since the configurations thereof are substantially the same, only one description will be given, but the number is not limited. The water heater 100 is mainly provided with a water sensing module 10, a combustion state sensing module 20, a water temperature sensing module 30, a fan state sensing module 40, and a control device 50. The above modules and devices can be disposed at appropriate positions inside and outside the body of the water heater 100 according to actual design requirements.

The water volume sensing module 10 is electrically connected to the control device 50, and the water volume sensing module 10 is configured to detect the water quantity change of the water heater 100 to generate water quantity data. The water amount sensing module 10 of the present embodiment is, for example, a Hall sensor or the like, and the Hall effect can be used for water volume detection. When the amount of water is larger, the rotation speed of the magnet in the water amount sensing module 10 is faster. The frequency generated by the Hall effect is also higher, and the frequency generated by the Hall effect is converted to know the amount of water, and the water quantity data of the water heater 100 can be obtained.

The combustion state sensing module 20 is electrically connected to the control device 50, and the combustion state sensing module 20 is configured to detect the combustion state of the water heater 100 to generate combustion state data. The combustion state sensing module 20 of the present embodiment includes, for example, a flame sensor to detect the presence or absence of a flame of the water heater 100, and the flame sensor may be a thermocouple or a flame induction needle. The combustion state sensing module 20 further includes, for example, a gas flow meter to detect the gas flow rate through the water heater 100. Through the flame sensor and the gas flow meter of the combustion state sensing module 20, data of the combustion state of the water heater 100 such as ignition time, combustion time, and gas flow rate can be obtained.

The water temperature sensing module 30 is electrically connected to the control device 50, and the water temperature sensing module 30 is configured to detect the water temperature change of the water heater 100 to generate water temperature data. The water temperature sensing module 30 of the embodiment may be a thermocouple type, a thermal resistance type, a thermoelectric type, or other electronic temperature sensor, and the water temperature data such as the water inlet temperature and the water outlet temperature of the water heater 100 may be obtained. .

The fan state sensing module 40 is electrically connected to the control device 50 and configured to detect hot water The fan status of the device 100 produces fan status data. The fan state sensing module 40 of the present embodiment includes, for example, a Hall sensor, and the Hall effect can also be used for detecting the rotation speed of the fan. The fan state sensing module 40 further includes, for example, a wind pressure switch to detect the rotation of the fan. Through the Hall sensor and the air pressure switch of the fan state sensing module 40, data of the fan state of the water heater 100, such as the fan speed and the fan operation, can be obtained.

The control device 50 acquires water quantity data, combustion state data, water temperature data, and a fan through the water amount sensing module 10, the combustion state sensing module 20, the water temperature sensing module 30, and the fan state sensing module 40, respectively. Status data. The control device 50 includes, for example, a micro processing unit and a communication unit electrically connected to the micro processing unit, so that the water heater 100 can output the aforementioned water quantity data, combustion state data, water temperature data, and fan status data to the cloud through the communication unit of the control device 50. Processing device 200.

The cloud processing device 200 is communicatively coupled to the water heater 100, and the cloud processing device 200 and the water heater 100 can form a communication link through a communication network 300 such as a WIFI, 3G or 4G network, but is not limited thereto. The cloud processing device 200 can periodically receive the aforementioned water volume data, combustion state data, water temperature data, and fan status data from the water heater 100, such as receiving data from the water heater 100 once or weekly. Further, the cloud processing device 200 analyzes the data and related data of the water heater 100 based on the periodically received water amount data, combustion state data, water temperature data, and fan state data, and analyzes the data of the water heater 100 in advance. Whether the water heater 100 has an abnormality, and when it is judged that the aforementioned data and related data of the water heater 100 will cause the water heater 100 to have an abnormality, the alarm message is output correspondingly. In this way, the management personnel can send personnel to the maintenance and maintenance before the user washes the cold water, and the prior art is relieved to wait until the abnormality occurs before the manager judges that the equipment may be malfunctioning or the improper operation of the household. Only the lack of ex post remedies can be taken.

In detail, the cloud processing device 200 has a database 201, a database 201 The water quantity-water temperature data comparison table is stored, and the cloud processing apparatus 200 can compare the water quantity data and the water temperature data periodically received and stored through the water quantity-water temperature data comparison table of the database 201, and pre-analyze the result according to the comparison. It is judged whether there is an abnormality in the water heater 100.

For example, when the firepower of the water heater 100 is fixed, the larger the water amount, the faster the water flow rate is, and the shorter the heating time is, the lower the water temperature is. On the contrary, the slower the water flow rate is, the longer the heating time is. The water temperature will be higher. Therefore, the database 201 can store and update the water quantity-water temperature data comparison table through a large amount of historically relevant water volume-water temperature related data for comparison analysis.

The database 201 of the cloud processing device 200 further stores a combustion state-fan state data comparison table, and the cloud processing device 200 can compare the combustion state data and the fan state data periodically received and stored through the combustion state-fan state data comparison table. And based on the comparison analysis result, it is determined in advance whether the water heater 100 has an abnormality.

For example, the air required for the water heater 100 to be burned is provided by a fan. If the gas flow is large, more air needs to be provided. On the contrary, less air is required, and in terms of control, it needs to be adjusted according to the gas flow rate. The speed of the fan. Therefore, the database 201 can store and update the combustion state-fan status data comparison table through a large number of historically related combustion state-fan status related data for comparison analysis.

Moreover, the database 201 of the cloud processing device 200 further stores preset water amount data, preset combustion state data, preset water temperature data, and preset fan state data, and the cloud processing device 200 can pass the preset in the database 201. The water quantity data, the preset combustion state data, the preset water temperature data, and the preset fan state data respectively compare the water quantity data periodically received and stored, the combustion state data, the water temperature data, and the fan state data, and are compared according to The result of the analysis is to preliminarily determine whether the water heater 100 is abnormal.

For example, the data in the water temperature data periodically received and stored is compared. The situation that the water temperature change is unstable is unstable, and the data in the water quantity data periodically received and stored is unstable after the comparison, and the pressure motor connected to the water supply pipe of the water heater 100 can be predicted. It may start to age and affect the stability of water pressure. Moreover, the data in the combustion state data periodically received and stored is compared to the case where the flame and the gas flow are unstable, and it can be predicted that the igniter mechanism of the water heater 100 may start to age and the ignition may not be smooth. Or the inside of the gas safety valve may start to block and affect the gas flow. Furthermore, the data in the fan state data periodically received and stored is compared after the fan speed or the operation is unstable, and it can be predicted that the fan motor or the machine may start to age or the wind pressure switch sensitivity. Start to lower and need to be fine-tuned, and the lower sensitivity of the wind pressure switch will also cause the ignition to be sometimes unsatisfactory. Moreover, before the comparison analysis, the cloud processing device 200 may delete the water quantity data, the combustion state data, the water temperature data, and the excessively large data in the fan state data periodically received and stored, for example, when the user manually The water volume adjustment results in excessive water variability, or the amount of water obtained by the user manually turning on and off the pressurized motor to cause excessive water variability. In this way, it is possible to avoid adding too large or too small data to the obtained data to judge, and affect the accuracy of the overall data.

In addition, the water heater 100 can also be provided with a cutting module 60 of the electrical connection control device 50, and can be used to manually cut off the communication transmission between the water heater 100 and the cloud processing device 200 through the cutting module 60. Thereby, the user can freely choose whether to automatically transfer the data of the water heater 100 to the cloud processing device 200 for storage.

The water heater 100 can also be provided with an input module 70 that electrically connects the control device 50. The input module 70 can input the individualized information of the water heater 100 and transmit it to the cloud processing device 200 for storage.

Please refer to FIG. 1 , FIG. 2 and FIG. 3 simultaneously. FIG. 3 is a method for predetermining abnormality of the water heater according to an embodiment of the present invention.

In step S201, the detection function of the water heater 100 can be activated every time the water heater 100 is started to detect the water volume change, the combustion state, the water temperature change, and the fan state of the water heater 100 to obtain data. Further, the water volume sensing module 10, the combustion state sensing module 20, the water temperature sensing module 30, and the fan state sensing module 40 of the water heater 100 respectively detect the water quantity change and combustion of the water heater 100. State, water temperature change, and fan status, corresponding to water volume data, combustion status data, water temperature data, and fan status data.

In step S203, the water amount data, the combustion state data, the water temperature data, and the fan state data of the water heater 100 are periodically output to the cloud processing device 200 for storage. Further, the cloud processing device 200 can receive data from the water heater 100 hourly, daily, or weekly.

In step S205, the water amount data, the combustion state data, the water temperature data, and the fan state data periodically received and stored are subjected to big data analysis by the cloud processing device 200.

In step S207, it is predicted whether there is an abnormality in the water heater 100.

In detail, the cloud processing device 200 has a database 201. The database 201 can store a water quantity-water temperature data comparison table, and the water quantity-water temperature data comparison table can be generated according to a large amount of historical related data, or according to the water heater 100. The water quantity data and the water temperature data outputted in the first several times are compared, and the water quantity data and the water temperature data periodically received and stored are compared by the water quantity-water temperature data comparison table of the database 201, and the result is compared according to the comparison analysis result. Whether the water heater 100 is abnormal.

The database 201 of the cloud processing device 200 may also store a combustion state-fan status data comparison table, and the combustion status-fan status data comparison table may be generated according to a large amount of historical related data, or may be based on the first few outputs of the water heater 100. The state data and the fan state data are generated, and the combustion state data and the fan state periodically received and stored are compared by the combustion state-fan state data comparison table of the database 201. The data, and based on the comparison analysis results, predetermine whether the water heater 100 is abnormal.

Furthermore, the database 201 of the cloud processing device 200 can also store preset water amount data, preset combustion state data, preset water temperature data, and preset fan state data, and the preset data can be related according to a large amount of history. The data is generated, and may also be generated according to the water quantity data, the combustion state data, the water temperature data, and the fan state data outputted by the water heater 100, through the preset water quantity data in the database 201, the preset combustion state data, and the pre-preparation. The water temperature data and the fan state data are respectively compared with the periodically received water amount data, the combustion state data, the water temperature data, and the fan state data, and the water heater 100 is preliminarily determined whether there is an abnormality based on the comparison analysis result.

In step S209, if it is predicted that the water heater 100 is abnormal, a reminder message is output to remind the management personnel to perform maintenance.

In addition, it is worth mentioning that, before or during step S203, the individualized information of the water heater 100 may be output to the cloud processing device 200 along with the water quantity data, the combustion state data, the water temperature data, and the fan state data to increase The cloud processing device 200 predicts whether the water heater 100 will have an abnormal accuracy. For example, the water heater 100 individualized information may be, but is not limited to, the environmental information of the water heater 100, such as the area and environment of the water heater 100. If the area and the environment are hot spring areas, the water quality is generally easier to make the water supply of the water heater 100 The pipeline is fouled or corroded, which makes it easier to cause abnormal water volume and shorten the service life of the machine.

In summary, the system and method for pre-determining the abnormality of the water heater provided by the embodiment of the present invention, by detecting the water quantity change, the combustion state, the water temperature change, and the fan state of the water heater 100, correspondingly generate water quantity data and combustion state data. And the water temperature data, and the fan state data, and periodically outputting the water quantity data, the combustion state data, the water temperature data, and the fan state data to the cloud processing device 200, and after performing the big data analysis, Pre-determine whether there is an abnormality in the water heater 100, and when it is found that the water heater 100 will be abnormal, the corresponding output reminder Information to remind managers to go to maintenance. Therefore, the present invention can effectively detect and obtain relevant data of the water heater and periodically output to the cloud processing device for storage, and performing big data analysis via the cloud processing device can increase the accuracy of predicting whether the water heater will be abnormal. In this way, the management personnel can send personnel to the maintenance and maintenance before the user washes the cold water, and the prior art is relieved to wait until the abnormality occurs before the manager judges that the equipment may be malfunctioning or the improper operation of the household. Only the lack of ex post remedies can be taken.

100‧‧‧Water heater

200‧‧‧Cloud processing unit

300‧‧‧Communication network

Claims (12)

A method for predetermining an abnormality of a water heater, comprising: (a) detecting a water quantity change, a combustion state, a water temperature change, and a fan state of the water heater, corresponding to generating water quantity data, combustion state data, water temperature data, and fan state data; (b) periodically outputting the water quantity data, the combustion state data, the water temperature data, and the fan state data to the cloud processing device for storage; (c) the water quantity data to be periodically received and stored, the combustion state data The water temperature data and the fan status data are analyzed by the cloud processing device for big data analysis to determine whether the water heater is abnormal; and (d) if the water heater is abnormal, the corresponding reminder message is output . The method of claim 1, wherein the cloud processing device has a database, wherein the database stores a water quantity-water temperature data comparison table, and the cloud processing device transmits water through the database. The water temperature data comparison table compares the water quantity data periodically received and stored with the water temperature data, and prejudges whether the water heater has an abnormality according to the comparison analysis result. The method of claim 1, wherein the cloud processing device has a database, and the database stores a combustion state-fan status data comparison table, and the cloud processing device transmits the data through the database. The state-fan state data comparison table compares the combustion state data periodically received and stored with the fan state data, and prejudges whether the water heater has an abnormality based on the comparison analysis result. The method of claim 1, wherein the cloud processing device has a database, where the preset water quantity data, preset combustion state data, preset water temperature data, and pre-store are stored in the database. Setting the fan status data, the cloud processing device transmits the preset water quantity data in the database, The combustion state data, the preset water temperature data, and the preset fan state data respectively compare the water quantity data periodically received and stored, the combustion state data, the water temperature data, and the fan state data, and according to the ratio The analysis results are used to preliminarily determine whether the water heater is abnormal. The method of claim 1, wherein the step (b) further comprises: outputting the individualized information of the water heater to the cloud processing device. A method for predetermining an abnormality of a water heater according to claim 5, wherein the individualized information of the water heater is environmental information of the water heater. A system for predetermining an abnormality of a water heater, comprising: a water heater, comprising: a water sensing module for detecting a change in water volume of the water heater; a water temperature sensing module for detecting a change in water temperature of the water heater, a combustion state sensing module for detecting a combustion state of the water heater, a fan state sensing module for detecting a state of the water heater fan, and an electrical connection and the water temperature sensing module, the water temperature The sensing module, the combustion state sensing module and the fan state sensing module respectively obtain water quantity data, water temperature data, combustion state data and fan state data control means, and are used for periodically outputting the water quantity data, The water temperature data, the combustion state data and the fan state data; and the cloud processing device are communicatively coupled to the water heater, periodically receiving and storing the water quantity data, the water temperature data, the combustion state data, and the fan state data And using the water quantity data, the water temperature data, the combustion state data, and the fan state data for big data analysis, thereby predetermining the water heater No exception will be, and when the food is determined there is abnormality, the corresponding output alert messages. A system for predetermining an abnormality of a water heater according to claim 7, wherein the cloud processing device has a database, and the database stores a water amount-water temperature number According to the comparison table, the cloud processing device compares the water quantity data periodically received and stored with the water temperature data through the water quantity-water temperature data comparison table of the database, and pre-determines whether the water heater will be based on the comparison analysis result. There is an exception. The system of claim 7, wherein the cloud processing device has a database, wherein the database stores a combustion state-fan status data comparison table, and the cloud processing device transmits the data through the database. The state-fan state data comparison table compares the combustion state data periodically received and stored with the fan state data, and prejudges whether the water heater has an abnormality based on the comparison analysis result. The system for predetermining the water heater abnormality as described in claim 7, wherein the cloud processing device has a database, wherein the data storage includes preset water quantity data, preset combustion state data, preset water temperature data, and Setting the fan status data, the cloud processing device separately compares the periodically received and stored data through the preset water quantity data, the preset combustion state data, the preset water temperature data, and the preset fan state data in the database. The water quantity data, the combustion state data, the water temperature data, and the fan state data, and based on the comparison analysis result, determine in advance whether the water heater has an abnormality. The system of claim 7, wherein the water heater further has an input module, wherein the input module is configured to input the individualized information of the water heater and transmit the information to the cloud processing device. The system for predetermining the water heater abnormality as described in claim 11, wherein the individualized information of the water heater is environmental information of the water heater.