An intelligent control system for gas water heater

Abstract

The present invention relates to the field of control technology, and in particular to a gas water heater intelligent control system, comprising an intelligent scene matching module, a user data learning module, a water flow monitoring module, a water flow regulating module, a temperature control module, an indoor environment monitoring module, a fault diagnosis module, and a management database. The system obtains user water use recommendation data by analyzing the user's historical water use data, adjusts the water pressure of the water heater by detecting the water consumption at each time point, controls the water temperature by analyzing the water temperature compliance of the user's water use, detects indoor environmental parameters when the user is bathing, and obtains an indoor air quality evaluation coefficient by analyzing, and detects fault parameters of the water heater, and obtains a fault evaluation coefficient of the water heater by analyzing, thereby improving the intelligence level and service quality of the water heater system as a whole, making the use process more convenient, efficient and safe.

Description

Technical Field

[0001] The invention relates to the field of electronic information technology, in particular to an intelligent control system for a gas water heater. Background Art

[0002] Gas water heaters, as important equipment for hot water supply in modern households, play an indispensable role in people's daily lives. With the continuous advancement of science and technology and the improvement of people's living standards, the demand for water heaters is also constantly changing and upgrading. Water heaters with simple functions are gradually unable to meet people's pursuit of comfort, convenience and efficiency.

[0003] In the development history of gas water heaters, they have experienced a transformation from traditional mechanical control to intelligent control. The continuous improvement of combustion technology has improved energy utilization efficiency, making gas water heaters have made significant progress in energy conservation and environmental protection. At the same time, the development trend of intelligence has brought users a more personalized user experience, such as remote control, precise temperature adjustment, automatic fault detection and other functions. In the current market environment, consumers also attach great importance to the safety of gas water heaters. Therefore, manufacturers continue to invest in research and development to improve the safety performance of products to ensure user safety.

[0004] The prior art of gas water heater with publication number CN111189229A and name is control method of gas water heater and gas water heater, which discloses the following scheme: a corrected hot water yield is obtained according to the inlet water temperature, outlet water temperature and water flow rate of the gas water heater, the current hot water yield of the gas water heater is determined according to the current inlet water temperature of the gas water heater, the current outlet water temperature of the gas water heater and the current water flow rate of the gas water heater, and the wind speed of the fan of the gas water heater is controlled by calculating the difference between the two, thereby improving the control accuracy of the gas water heater, and making the combustion of the gas water heater more complete, with high heat production efficiency, less waste gas generated, and improved operation safety. However, there are still some shortcomings, which are specifically manifested in the following aspects: First, this scheme controls the wind speed of the fan of the gas water heater by calculating the difference between the corrected hot water yield and the current hot water yield, but historical water use data is not taken into account when analyzing the corrected hot water yield, and it may not be possible to make more accurate adjustments according to the water use habits and preferences of specific users, which will affect the user experience satisfaction and comfort to a certain extent, and the lack of historical data reference is not conducive to better predicting and adapting to future changes in user needs.

[0005] Second, the solution does not involve analysis of water heater fault detection, such as the degree of scale and long-term corrosion of water quality on water heater components. Potential fault hazards cannot be discovered in a timely manner, which may lead to sudden failures and affect the user's normal use of the water heater. Summary of the invention

[0006] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides a gas water heater intelligent control system, which can effectively solve the problems involved in the above background technology.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a gas water heater intelligent control system, including: an intelligent scene matching module, which automatically adapts the recommended water use data of different scenes according to the application scene selected by the user, and the recommended water use data includes the average water temperature and water consumption.

[0008] The user data learning module is used to analyze the user's recommended water temperature and water volume based on the user's average water temperature and water volume in history.

[0009] The water flow monitoring module is used to detect the water consumption at each time point, and then analyze the average water usage time in the user demand application scenario to determine whether water flow adjustment is needed.

[0010] The water flow regulation module is used to analyze the average water use time in the user's application scenario according to the user's demand and obtain the corresponding water pressure of the user's standard water flow per unit time, and adjust the water pressure of the water heater accordingly.

[0011] The temperature control module is used to detect the recommended water temperature and actual water temperature of the user's water to obtain the degree of compliance of the user's water temperature, and then control the water temperature.

[0012] The indoor environment monitoring module is used to detect the indoor environmental parameters when the user is bathing, and then analyze and obtain the indoor air quality evaluation coefficient. The indoor environmental parameters include the indoor carbon monoxide concentration and the degree of mercaptan leakage in the gas pipeline.

[0013] The fault diagnosis module is used to detect the fault parameters of the water heater and then analyze and obtain the fault evaluation coefficient of the water heater. The fault parameters include the degree of scale blockage and the degree of component corrosion.

[0014] The management database is used to store the recommended water use data corresponding to each application scenario, the water pressure corresponding to each unit water flow range, the carbon monoxide concentration corresponding to each infrared light intensity difference range, the factory images of water heater components, and the average temperature, water consumption, and water use duration of each user's historical water use.

[0015] Preferably, the specific analysis method of the intelligent scene matching module is: manually select the required application scene according to the application scene provided by the system, record it as the user required application scene, and read the recommended water use data corresponding to each application scene from the management database, match the user required application scene with the recommended water use data corresponding to each application scene, obtain the recommended water use data corresponding to the user required application scene, and record the recommended water use average temperature and water use amount corresponding to the user required application scene as .

[0016] Preferably, the specific analysis method of the user data learning module is: reading the average water temperature and water consumption of each user's historical water use from the management database, and filtering out the average water temperature and water consumption of each user's historical demand application scenario according to the demand application scenario selected by the user, and recording them as , Indicates the history The number of water usage scenarios required, , and read the recommended average temperature corresponding to the user's application scenario , Water consumption , substituting it into the formula , Get the user's recommended water temperature , Recommended water volume , Indicates the number of times water was used in historical demand scenarios.

[0017] Preferably, the specific analysis method of the water flow monitoring module is: taking a number of time points with equal time intervals according to the set duration, and detecting the water consumption at each time point by reading the water meter, which is recorded as ,in Indicates The number of the time point, , and record the time interval as , through the formula Get the average water consumption per unit time ,in Indicates The amount of water used at a point in time, Indicates the number of time points and reads the recommended water consumption of the user , substituting it into the formula Get the time it takes for the user to reach the recommended water volume , read the user's water use duration for each water use scenario from the management database, and filter out the user's historical water use duration for each demand application scenario, recorded as , through the formula Get the average water usage time of user demand application scenarios , compare the time taken by the user to reach the recommended water volume with the average water use time of the user's demand application scenario. If the time taken by the user to reach the recommended water volume is longer than the average water use time of the user's demand application scenario, it means that the water flow of the user's water is unqualified, and the water flow adjustment module is executed. If the time taken by the user to reach the recommended water volume is less than or equal to the average water use time of the user's demand application scenario, it means that the water flow of the user's water is qualified and no adjustment is required.

[0018] Preferably, the specific analysis method of the water flow regulation module is: reading the average water use time of the user demand application scenario , Recommended water volume for users , through the formula Get the user's standard water flow per unit time , read the water pressure corresponding to each unit water flow range from the management database, filter the user's standard water flow per unit time to obtain the water pressure corresponding to the user's standard water flow per unit time, and use this to adjust the water pressure of the water heater.

[0019] Preferably, the specific analysis method of the temperature control module is: reading the user's recommended water temperature , detect the actual water temperature of the user, recorded as , substituting it into the formula Get the water temperature compliance of the user's water , read the average water temperature of each user's historical demand application scenario , select the maximum and minimum values ​​from them and record them as the maximum water temperature of the historical demand application scenario , minimum water temperature , through the formula Get the average value of the actual water temperature used by users and the maximum and minimum water temperatures of historical demand scenarios , through the formula Get the water temperature compliance threshold , compare the user's water temperature compliance with the water temperature compliance threshold. If the user's water temperature compliance is greater than or equal to the water temperature compliance threshold, it means that the user's water temperature compliance is qualified and no adjustment is required. If the user's water temperature compliance is less than the water temperature compliance threshold, it means that the user's water temperature compliance is unqualified. The user's water temperature difference is obtained by subtracting the user's recommended water temperature and the user's actual water temperature. If the user's water temperature difference is a positive number, the user's actual water temperature is adjusted up accordingly. If the user's water temperature difference is a negative number, the user's actual water temperature is adjusted down accordingly.

[0020] Preferably, the specific analysis method of the indoor environmental parameters is: collect a certain amount of indoor gas through the sampling probe of the infrared detector, which is recorded as the indoor gas sample, and use the instrument to emit infrared light of a specific wavelength to the indoor gas sample, and simultaneously measure the intensity of the incident light and the outgoing light after passing through the indoor gas sample, which are recorded as , through the formula Get the infrared light intensity difference , read the preset carbon monoxide concentration corresponding to each infrared light intensity difference range from the management database, compare the infrared light intensity difference with the carbon monoxide concentration corresponding to each infrared light intensity difference range to obtain the carbon monoxide concentration corresponding to the infrared light intensity difference, and record it as the indoor carbon monoxide concentration At the same time, the mercaptan concentration of the gas pipeline is detected in real time when the user uses water through the mercaptan sensor installed at the interface of the gas pipeline, which is recorded as .

[0021] Preferably, the specific analysis method of the indoor environment monitoring module is: reading the indoor carbon monoxide concentration respectively , Mercaptan concentration in gas pipelines , substituting it into the formula Get the indoor air quality evaluation coefficient , They represent the maximum carbon monoxide concentration and the maximum mercaptan concentration that the human body can be exposed to. The weight factors of the set carbon monoxide concentration and mercaptan concentration are respectively represented. The indoor air quality evaluation coefficient is compared with the preset air quality evaluation coefficient threshold. If the indoor air quality evaluation coefficient is less than the preset air quality evaluation coefficient threshold, it means that the indoor air quality evaluation coefficient is unqualified and feedback is given to the system. Otherwise, it means that the indoor air quality evaluation coefficient is qualified.

[0022] Preferably, the specific analysis method of the fault parameters of the water heater is as follows: the first step is to read the water pressure through the water pressure gauge installed on the water pipe, which is recorded as , and read the water consumption under the water pressure within the set time through the water meter, and divide the water consumption under the water pressure by the set time to get the current unit water flow of the water heater, read the corresponding water pressure of each unit water flow range from the management database, match the current unit water flow of the water heater with it to get the standard water pressure corresponding to the current unit water flow of the water heater, recorded as , through the formula Get the scale blockage degree of the water heater .

[0023] In the second step, the image of the water heater component is acquired, and the factory image of the water heater component is read from the management database. The edge detection technology is used to extract the edge contour of the water heater component in the water heater component image and the factory image of the water heater component, and the overlapping length of the edge contour of the water heater component is obtained by superimposing them, which is recorded as , extract the edge contour length of the water heater component in the factory image of the water heater component, and record it as , and the chromaticity value of each pixel in the water heater component image and the factory image of the water heater component is detected, which is recorded as , Indicates The number of pixels, , through the formula Get the color difference of each pixel in the water heater component image , compare it with the preset corrosion chromaticity difference range, record the pixels of the water heater component image that belong to the preset corrosion chromaticity difference range as corrosion pixels, and count the number of corrosion pixels as , through the formula Get the degree of corrosion of water heater components , Represents the total number of pixels in the water heater component image, They represent the set edge contour overlap length and the weight factor of the eroded pixel point respectively.

[0024] Preferably, the specific analysis method of the fault diagnosis module is: respectively reading the scale blockage degree of the water heater , Degree of corrosion of components , substituting it into the formula Get the fault evaluation coefficient of the water heater , They represent the weight factors of the set scale blockage degree and component corrosion degree, respectively. It is a natural constant, which is compared with the preset fault evaluation coefficient threshold. If the fault evaluation coefficient of the water heater is greater than the preset fault evaluation coefficient threshold, it means that there is a fault in the water heater, and feedback is given to the system.

[0025] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention analyzes the user's average water temperature and water volume in history to obtain the user's recommended water temperature and water volume, so as to better manage and plan water use behavior.

[0026] 2. The present invention detects the water consumption at each time point, and analyzes the average water use time in the user demand application scenario to obtain the standard water flow rate per unit time corresponding to the water pressure, and then adjusts the water pressure of the water heater to ensure that a stable water flow under appropriate water pressure can be obtained in different scenarios, providing a better water experience.

[0027] 3. The present invention detects the recommended water temperature and actual water temperature of the user's water to obtain the degree of compliance of the user's water temperature, and then controls the water temperature to ensure that the actual water temperature is as consistent as possible with the recommended water temperature, thereby enhancing the water use experience.

[0028] 4. The present invention detects indoor environmental parameters when the user is bathing, and then analyzes and obtains an indoor air quality evaluation coefficient, which helps to protect the health of the user and avoid potential harm to the body caused by long-term bathing in an environment with poor air quality.

[0029] 5. The present invention detects the fault parameters of the water heater and then analyzes and obtains the fault evaluation coefficient of the water heater, which is conducive to early warning, allowing users to take countermeasures or arrange maintenance in time to avoid the inconvenience caused by sudden failures. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0031] Figure 1 This is a system module connection diagram of the present invention. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] See also Figure 1 As shown, a gas water heater intelligent control system includes an intelligent scene matching module, a user data learning module, a water flow monitoring module, a water flow regulation module, a temperature control module, an indoor environment monitoring module, a fault diagnosis module, and a management database.

[0034] The management database is connected to the intelligent scene matching module, the temperature control module, the water flow regulation module, the indoor environment monitoring module, and the fault diagnosis module; the water flow regulation module is connected to the water flow monitoring module; and the intelligent scene matching module is connected to the user data learning module.

[0035] The intelligent scene matching module automatically adapts the recommended water use data for different scenarios according to the application scenarios selected by the user. The recommended water use data includes the average water temperature and water consumption.

[0036] The specific analysis method of the intelligent scene matching module is as follows: manually select the required application scene according to the application scene provided by the system, record it as the user required application scene, read the recommended water use data corresponding to each application scene from the management database, match the user required application scene with the recommended water use data corresponding to each application scene, obtain the recommended water use data corresponding to the user required application scene, and record the recommended water use average temperature and water use amount corresponding to the user required application scene as ; Ensure that users can quickly obtain the optimal water usage data that matches the selected scenario, including appropriate water temperature and water consumption, to improve user experience and satisfaction.

[0037] The user data learning module is used to analyze the user's recommended water temperature and water volume based on the user's average water temperature and water volume in history.

[0038] The specific analysis method of the user data learning module is: read the average water temperature and water consumption of each user's historical water use from the management database, and filter out the average water temperature and water consumption of each user's historical demand application scenario according to the demand application scenario selected by the user, and record them as , Indicates the history The number of water usage scenarios required, , and read the recommended average temperature corresponding to the user's application scenario , Water consumption , substituting it into the formula , Get the user's recommended water temperature , Recommended water volume , Indicates the number of times water has been used in historical demand scenarios; it can provide personalized water use recommendations based on the user's own habits and historical conditions to enhance the user experience.

[0039] The water flow monitoring module is used to detect the water consumption at each time point, and then analyze the average water usage time in the user demand application scenario to determine whether water flow adjustment is needed.

[0040] The specific analysis method of the water flow monitoring module is: take a number of time points with equal time intervals according to the set duration, and detect the water consumption at each time point by reading the water meter, recorded as ,in Indicates The number of the time point, , and record the time interval as , through the formula Get the average water consumption per unit time ,in Indicates The amount of water used at a point in time, Indicates the number of time points and reads the recommended water consumption of the user , substituting it into the formula Get the time it takes for the user to reach the recommended water volume , read the user's water use duration for each water use scenario from the management database, and filter out the user's historical water use duration for each demand application scenario, recorded as , through the formula Get the average water usage time of user demand application scenarios , compare the time taken by the user to reach the recommended water volume with the average water use time of the user's demand application scenario. If the time taken by the user to reach the recommended water volume is longer than the average water use time of the user's demand application scenario, it means that the water flow of the user's water is unqualified, and the water flow adjustment module is executed. If the time taken by the user to reach the recommended water volume is less than or equal to the average water use time of the user's demand application scenario, it means that the water flow of the user's water is qualified and no adjustment is required; timely adjustment of the unqualified water flow can avoid wasting water resources or affecting the water use effect.

[0041] The water flow regulation module is used to analyze the average water use time in the user's application scenario according to the user's demand and obtain the corresponding water pressure of the user's standard water flow per unit time, and adjust the water pressure of the water heater accordingly.

[0042] The specific analysis method of the water flow regulation module is: reading the average water use time of the user demand application scenario , Recommended water volume for users , through the formula Get the user's standard water flow per unit time , read the water pressure corresponding to each unit water flow range from the management database, filter the user's standard water flow per unit time to obtain the water pressure corresponding to the user's standard water flow per unit time, and adjust the water pressure of the water heater accordingly; improve the comfort and convenience of water use, and avoid poor water use or other problems caused by unreasonable water pressure.

[0043] The temperature control module is used to detect the recommended water temperature and actual water temperature of the user's water to obtain the degree of compliance of the user's water temperature, and then control the water temperature.

[0044] The specific analysis method of the temperature control module is: reading the user's recommended water temperature , detect the actual water temperature of the user, recorded as , substituting it into the formula Get the water temperature compliance of the user's water , read the average water temperature of each user's historical demand application scenario , select the maximum and minimum values ​​from them and record them as the maximum water temperature of the historical demand application scenario , minimum water temperature , through the formula Get the average value of the actual water temperature used by users and the maximum and minimum water temperatures of historical demand scenarios , through the formula Get the water temperature compliance threshold , compare the degree of compliance of the user's water temperature with the water temperature compliance threshold. If the degree of compliance of the user's water temperature is greater than or equal to the water temperature compliance threshold, it means that the user's water temperature compliance is qualified and no adjustment is required. If the degree of compliance of the user's water temperature is less than the water temperature compliance threshold, it means that the user's water temperature compliance is unqualified. The water temperature difference of the user's water is obtained by subtracting the user's recommended water temperature and the user's actual water temperature. If the water temperature difference of the user's water is a positive number, the actual water temperature of the user's water is adjusted up accordingly. If the water temperature difference of the user's water is a negative number, the actual water temperature of the user's water is adjusted down accordingly. It can detect and compare the user's recommended water temperature and the actual water temperature, provide accurate water temperature compliance evaluation, and allow users to obtain a water use experience that better meets their expectations.

[0045] The indoor environment monitoring module is used to detect the indoor environmental parameters when the user is bathing, and then analyze and obtain the indoor air quality evaluation coefficient. The indoor environmental parameters include the indoor carbon monoxide concentration and the degree of mercaptan leakage in the gas pipeline.

[0046] The specific analysis method of the indoor environmental parameters is as follows: a certain amount of indoor gas is collected by a sampling probe of an infrared detector, which is recorded as an indoor gas sample, and an infrared light of a specific wavelength is emitted to the indoor gas sample by the instrument, and the intensity of the incident light and the outgoing light after passing through the indoor gas sample is measured at the same time, which are recorded as , through the formula Get the infrared light intensity difference , read the preset carbon monoxide concentration corresponding to each infrared light intensity difference range from the management database, compare the infrared light intensity difference with the carbon monoxide concentration corresponding to each infrared light intensity difference range to obtain the carbon monoxide concentration corresponding to the infrared light intensity difference, and record it as the indoor carbon monoxide concentration At the same time, the mercaptan concentration of the gas pipeline is detected in real time when the user uses water through the mercaptan sensor installed at the interface of the gas pipeline, which is recorded as It can provide a basis for taking corresponding measures to deal with excessive carbon monoxide and gas pipeline leakage, such as ventilation, etc., effectively preventing dangerous situations such as user poisoning, and can promptly detect small leakage risks.

[0047] The specific analysis method of the indoor environment monitoring module is: reading the indoor carbon monoxide concentration respectively , Mercaptan concentration in gas pipelines , substituting it into the formula Get the indoor air quality evaluation coefficient , They represent the maximum carbon monoxide concentration and the maximum mercaptan concentration that the human body can be exposed to. The weight factors respectively represent the set carbon monoxide concentration and mercaptan concentration, and the indoor air quality evaluation coefficient is compared with the preset air quality evaluation coefficient threshold. If the indoor air quality evaluation coefficient is less than the preset air quality evaluation coefficient threshold, it means that the indoor air quality evaluation coefficient is unqualified and feedback is given to the system. Otherwise, it means that the indoor air quality evaluation coefficient is qualified. The impact of carbon monoxide and mercaptan leakage on air quality can be fully considered to improve the accuracy and scientificity of the evaluation.

[0048] It should be noted that, in a specific embodiment, It can be set to 0.5. It can be set to 0.5. Carbon monoxide is a highly toxic gas that poses a serious threat to human health. High concentrations of carbon monoxide may cause poisoning or even life-threatening in a short period of time. Mercaptans have an unpleasant odor that affects the sensory experience of indoor air. Long-term exposure or high concentrations may also cause certain harm to the human body. Therefore, the weights corresponding to carbon monoxide concentration and mercaptan leakage degree are equal.

[0049] The fault diagnosis module is used to detect the fault parameters of the water heater and then analyze and obtain the fault evaluation coefficient of the water heater. The fault parameters include the degree of scale blockage and the degree of component corrosion.

[0050] The specific analysis method of the fault parameters of the water heater is as follows: First, read the water pressure through the water pressure gauge installed on the water pipe, and record it as , and read the water consumption under the water pressure within the set time through the water meter, and divide the water consumption under the water pressure by the set time to get the current unit water flow of the water heater, read the corresponding water pressure of each unit water flow range from the management database, match the current unit water flow of the water heater with it to get the standard water pressure corresponding to the current unit water flow of the water heater, recorded as , through the formula Get the scale blockage degree of the water heater ; Can detect the scale problem of the water heater in time so that appropriate descaling measures can be taken to extend the service life of the water heater.

[0051] In the second step, the image of the water heater component is acquired, and the factory image of the water heater component is read from the management database. The edge detection technology is used to extract the edge contour of the water heater component in the water heater component image and the factory image of the water heater component, and the overlapping length of the edge contour of the water heater component is obtained by superimposing them, which is recorded as , extract the edge contour length of the water heater component in the factory image of the water heater component, and record it as , and the chromaticity value of each pixel in the water heater component image and the factory image of the water heater component is detected, which is recorded as , Indicates The number of pixels, , through the formula Get the color difference of each pixel in the water heater component image , compare it with the preset corrosion chromaticity difference range, record the pixels of the water heater component image that belong to the preset corrosion chromaticity difference range as corrosion pixels, and count the number of corrosion pixels as , through the formula Get the degree of corrosion of water heater components , Represents the total number of pixels in the water heater component image, They represent the set edge contour overlap length and the weight factor of the corroded pixel respectively; they help to timely discover the early corrosion problems of water heater components so that maintenance measures can be taken as early as possible.

[0052] It should be noted that, in a specific embodiment, It can be set to 0.5. It can be set to 0.5. The corrosion pixels directly reflect the size and range of the corrosion area, and can more intuitively reflect the severity of the corrosion. The edge contour overlap length reflects the continuity and complexity of the corrosion area to a certain extent. Therefore, the edge contour overlap length and the weights corresponding to the corrosion pixels are equal.

[0053] The specific analysis method of the fault diagnosis module is: reading the scale blockage degree of the water heater respectively , Degree of corrosion of components , substituting it into the formula Get the fault evaluation coefficient of the water heater , They represent the weight factors of the set scale blockage degree and component corrosion degree, respectively. It is a natural constant, which is compared with the preset fault evaluation coefficient threshold. If the fault evaluation coefficient of the water heater is greater than the preset fault evaluation coefficient threshold, it means that the water heater has a fault and feedback is given to the system. Taking into account various factors such as scale blockage and component corrosion, the status of the water heater is evaluated more comprehensively and accurately.

[0054] It should be noted that, in a specific embodiment, It can be set to 0.6. It can be set to 0.4. Scale blockage will directly affect the heat exchange efficiency and hot water output of the water heater, and may cause local overheating and other problems, which will have a significant and direct impact on the normal use and performance of the water heater. In severe cases, it may cause equipment damage. Although the degree of component corrosion will also affect the reliability of the water heater, its impact on the overall function of the water heater in a short period of time may not be particularly urgent and direct. Therefore, the weight corresponding to the degree of scale blockage is relatively high.

[0055] This system obtains recommended water usage data for users by analyzing their historical water usage data, detects the water usage at each time point and adjusts the water pressure of the water heater, controls the water temperature by analyzing the water temperature compliance of the user's water, detects the indoor environmental parameters when the user is bathing and obtains the indoor air quality evaluation coefficient by analyzing, and detects the fault parameters of the water heater and obtains the fault evaluation coefficient of the water heater by analyzing, which improves the overall intelligence level and service quality of the water heater system and makes the use process more convenient, efficient and safe.

[0056] The management database is used to store the recommended water use data corresponding to each application scenario, the water pressure corresponding to each unit water flow range, the carbon monoxide concentration corresponding to each infrared light intensity difference range, the factory images of water heater components, and the average temperature, water consumption, and water use duration of each user's historical water use.

[0057] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention and they are still covered by the protection scope of the present invention.

Claims

1. A gas water heater intelligent control system, It is characterized in that The system specifically includes the following modules: Intelligent scene matching module, which automatically adapts the recommended water use data of different scenes according to the application scene selected by the user. The recommended water use data includes the average water temperature and water consumption; The user data learning module is used to analyze the user's recommended water temperature and water volume based on the user's average water temperature and water volume in history; The water flow monitoring module is used to detect the water consumption at each time point, and then analyze the average water consumption time in the user demand application scenario to determine whether water flow adjustment is needed; The water flow regulation module is used to analyze the average water use time of the user's demand application scenario to obtain the corresponding water pressure of the user's standard water flow per unit time, and adjust the water pressure of the water heater accordingly; The temperature control module is used to detect the recommended water temperature and actual water temperature of the user's water to obtain the degree of compliance of the user's water temperature, and then control the water temperature; The indoor environment monitoring module is used to detect the indoor environmental parameters of the user when bathing, and then analyze and obtain the indoor air quality evaluation coefficient. The indoor environmental parameters include indoor carbon monoxide concentration and mercaptan concentration in the gas pipeline; A fault diagnosis module is used to detect the fault parameters of the water heater and then analyze and obtain the fault evaluation coefficient of the water heater. The fault parameters include the degree of scale blockage and the degree of component corrosion. Management database, used to store recommended water use data for each application scenario, water pressure corresponding to each unit water flow range, carbon monoxide concentration corresponding to each infrared light intensity difference range, factory images of water heater components, and store the average temperature, water consumption, and water use duration of each user's historical water use; The specific analysis method of the water flow monitoring module is: According to the set duration, several time points with equal time intervals are selected, and the water consumption at each time point is detected by reading the water meter, which is recorded as ,in Indicates The number of the time point, , and record the time interval as , through the formula Get the average water consumption per unit time ,in Indicates The amount of water used at a point in time, Indicates the number of time points and reads the recommended water consumption of the user , substituting it into the formula Get the time it takes for the user to reach the recommended water volume , read the user's water use duration for each water use scenario from the management database, and filter out the user's historical water use duration for each demand application scenario, recorded as , through the formula Get the average water usage time of user demand application scenarios , compare the time taken by the user to reach the recommended water volume with the average water consumption time of the user's demand application scenario. If the time taken by the user to reach the recommended water volume is longer than the average water consumption time of the user's demand application scenario, it means that the water flow rate of the user's water is unqualified, and the water flow adjustment module is executed. If the time taken by the user to reach the recommended water volume is less than or equal to the average water consumption time of the user's demand application scenario, it means that the water flow rate of the user's water is qualified and no adjustment is required; The specific analysis method of the water flow regulation module is: Read the average water usage time of user demand application scenarios , Recommended water volume for users , through the formula Get the user's standard water flow per unit time , read the water pressure corresponding to each unit water flow range from the management database, filter the user's standard water flow per unit time to obtain the water pressure corresponding to the user's standard water flow per unit time, and use this to adjust the water pressure of the water heater.

2. According to claim 1, a gas water heater intelligent control system, It is characterized in that The specific analysis method of the intelligent scene matching module is: According to the application scenarios provided by the system, manually select the required application scenarios and record them as user required application scenarios. Read the recommended water use data corresponding to each application scenario from the management database, match the user required application scenarios with the recommended water use data corresponding to each application scenario, and obtain the recommended water use data corresponding to the user required application scenarios. The recommended average water use temperature and water use volume corresponding to the user required application scenarios are recorded as .

3. According to claim 2, a gas water heater intelligent control system, It is characterized in that The specific analysis method of the user data learning module is: The average water temperature and water consumption of each user's historical water use are read from the management database, and the average water temperature and water consumption of each user's historical demand application scenario are screened out according to the demand application scenario selected by the user, and recorded as , Indicates the history The number of water usage scenarios required, , and read the recommended average temperature corresponding to the user's application scenario , Water consumption , substituting it into the formula , Get the user's recommended water temperature , Recommended water volume , Indicates the number of times water was used in historical demand scenarios.

4. According to claim 1, a gas water heater intelligent control system, It is characterized in that The specific analysis method of the temperature control module is: Read the user's recommended water temperature , detect the actual water temperature of the user, recorded as , substituting it into the formula Get the water temperature compliance of the user's water , read the average water temperature of each user's historical demand application scenario , select the maximum and minimum values ​​from them and record them as the maximum water temperature of the historical demand application scenario , minimum water temperature , through the formula Get the average value of the actual water temperature used by users and the maximum and minimum water temperatures of historical demand scenarios , through the formula Get the water temperature compliance threshold , compare the user's water temperature compliance with the water temperature compliance threshold. If the user's water temperature compliance is greater than or equal to the water temperature compliance threshold, it means that the user's water temperature compliance is qualified and no adjustment is required. If the user's water temperature compliance is less than the water temperature compliance threshold, it means that the user's water temperature compliance is unqualified. The user's water temperature difference is obtained by subtracting the user's recommended water temperature and the user's actual water temperature. If the user's water temperature difference is a positive number, the user's actual water temperature is adjusted up accordingly. If the user's water temperature difference is a negative number, the user's actual water temperature is adjusted down accordingly.

5. According to claim 1, a gas water heater intelligent control system, It is characterized in that The specific analysis method of the indoor environmental parameters is: The sampling probe of the infrared detector collects a certain amount of indoor gas, which is recorded as the indoor gas sample. The instrument emits infrared light of a specific wavelength to the indoor gas sample, and measures the intensity of the incident light and the outgoing light after passing through the indoor gas sample, which are recorded as , through the formula Get the infrared light intensity difference , read the preset carbon monoxide concentration corresponding to each infrared light intensity difference range from the management database, compare the infrared light intensity difference with the carbon monoxide concentration corresponding to each infrared light intensity difference range to obtain the carbon monoxide concentration corresponding to the infrared light intensity difference, and record it as the indoor carbon monoxide concentration At the same time, the mercaptan concentration of the gas pipeline is detected in real time when the user uses water through the mercaptan sensor installed at the interface of the gas pipeline, which is recorded as .

6. A gas water heater intelligent control system according to claim 5, It is characterized in that The specific analysis method of the indoor environment monitoring module is: Read the indoor carbon monoxide concentration separately , Mercaptan concentration in gas pipelines , substituting it into the formula Get the indoor air quality evaluation coefficient , They represent the maximum carbon monoxide concentration and the maximum mercaptan concentration that the human body can be exposed to. The weight factors of the set carbon monoxide concentration and mercaptan concentration are respectively represented. The indoor air quality evaluation coefficient is compared with the preset air quality evaluation coefficient threshold. If the indoor air quality evaluation coefficient is less than the preset air quality evaluation coefficient threshold, it means that the indoor air quality evaluation coefficient is unqualified and feedback is given to the system. Otherwise, it means that the indoor air quality evaluation coefficient is qualified.

7. The intelligent control system for a gas water heater according to claim 1, It is characterized in that The specific analysis method of the fault parameters of the water heater is: The first step is to read the water pressure through the water pressure gauge installed on the water pipe, which is recorded as , and read the water consumption under the water pressure within the set time through the water meter, and divide the water consumption under the water pressure by the set time to get the current unit water flow of the water heater, read the corresponding water pressure of each unit water flow range from the management database, match the current unit water flow of the water heater with it to get the standard water pressure corresponding to the current unit water flow of the water heater, recorded as , through the formula Get the scale blockage degree of the water heater ; In the second step, the image of the water heater component is acquired, and the factory image of the water heater component is read from the management database. The edge detection technology is used to extract the edge contour of the water heater component in the water heater component image and the factory image of the water heater component, and the overlapping length of the edge contour of the water heater component is obtained by superimposing them, which is recorded as , extract the edge contour length of the water heater component in the factory image of the water heater component, and record it as , and the chromaticity value of each pixel in the water heater component image and the factory image of the water heater component is detected, which is recorded as , Indicates The number of pixels, , through the formula Get the color difference of each pixel in the water heater component image , compare it with the preset corrosion chromaticity difference range, record the pixels of the water heater component image that belong to the preset corrosion chromaticity difference range as corrosion pixels, and count the number of corrosion pixels as , through the formula Get the degree of corrosion of water heater components , Represents the total number of pixels in the water heater component image, They represent the set edge contour overlap length and the weight factor of the eroded pixel point respectively.

8. The intelligent control system for a gas water heater according to claim 7, It is characterized in that The specific analysis method of the fault diagnosis module is: Read the scale blockage degree of the water heater separately , Degree of corrosion of components , substituting it into the formula Get the fault evaluation coefficient of the water heater , They represent the weight factors of the set scale blockage degree and component corrosion degree, respectively. It is a natural constant, which is compared with the preset fault evaluation coefficient threshold. If the fault evaluation coefficient of the water heater is greater than the preset fault evaluation coefficient threshold, it means that there is a fault in the water heater, and feedback is given to the system.

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