CN115289683A - Gas water heater evaluation method and device based on Internet of things and storage medium - Google Patents
Gas water heater evaluation method and device based on Internet of things and storage medium Download PDFInfo
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- 238000011156 evaluation Methods 0.000 title claims abstract description 142
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H9/00—Details
- F24H9/20—Arrangement or mounting of control or safety devices
- F24H9/2007—Arrangement or mounting of control or safety devices for water heaters
- F24H9/2035—Arrangement or mounting of control or safety devices for water heaters using fluid fuel
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/20—Control of fluid heaters characterised by control inputs
- F24H15/212—Temperature of the water
- F24H15/219—Temperature of the water after heating
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/20—Control of fluid heaters characterised by control inputs
- F24H15/238—Flow rate
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/40—Control of fluid heaters characterised by the type of controllers
- F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
- F24H15/421—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based using pre-stored data
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/40—Control of fluid heaters characterised by the type of controllers
- F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
- F24H15/443—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based using a central controller connected to several sub-controllers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/40—Control of fluid heaters characterised by the type of controllers
- F24H15/414—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based
- F24H15/45—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based remotely accessible
- F24H15/457—Control of fluid heaters characterised by the type of controllers using electronic processing, e.g. computer-based remotely accessible using telephone networks or Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24H—FLUID HEATERS, e.g. WATER OR AIR HEATERS, HAVING HEAT-GENERATING MEANS, e.g. HEAT PUMPS, IN GENERAL
- F24H15/00—Control of fluid heaters
- F24H15/40—Control of fluid heaters characterised by the type of controllers
- F24H15/486—Control of fluid heaters characterised by the type of controllers using timers
Abstract
The invention belongs to the technical field of intelligent control, particularly relates to a gas water heater evaluation method based on the Internet of things, equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring multiple groups of operating data of the gas water heater through the Internet of things; obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of operating data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value; obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data; and sending the evaluation data to a user terminal. The method realizes the real-time evaluation function of the gas water heater, has lower requirements on the hardware configuration of the gas water heater, does not influence the upgrading and updating of the gas water heater, and has wider application range.
Description
Technical Field
The invention belongs to the technical field of intelligent control, and particularly relates to a gas water heater evaluation method based on the Internet of things, equipment and a storage medium.
Background
The gas water heater is a gas appliance which takes gas as fuel and transfers heat to cold water flowing through a heat exchanger in a combustion heating mode so as to achieve the purpose of preparing hot water. Through evaluating the gas water heater, the performance and the energy efficiency of the gas water heater can be better known, and later maintenance and improvement are facilitated.
When evaluating a gas water heater, generally, an evaluation function of the gas water heater is utilized, used data is obtained through the evaluation function, and then the used data is evaluated on line, or the data after being used in batch is evaluated off line.
The existing evaluation method of the gas water heater depends on the hardware condition of the equipment, has low expansibility, makes the function of the equipment difficult to upgrade, has single evaluation function, and cannot provide real-time evaluation for users.
Disclosure of Invention
In order to solve the problems in the prior art, namely to solve the problem that the conventional gas water heater cannot provide real-time evaluation for users, the invention provides a gas water heater evaluation method based on the internet of things, which comprises the following steps:
acquiring multiple groups of operation data of the gas water heater through the Internet of things, wherein each group of operation data comprises at least one of effluent temperature, gas consumption, effluent rate or operation duration;
obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of operating data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value;
obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data;
and sending the evaluation data to a user terminal through the Internet of things.
In one possible design, the obtaining, according to a plurality of data of the same type in the plurality of sets of operating data, a set of attribute values includes:
obtaining a standard deviation of the water outlet temperature according to a plurality of water outlet temperatures in the plurality of groups of operation data;
determining the maximum gas consumption according to a plurality of gas consumption in the plurality of groups of operation data, and obtaining the gas consumption rate according to the ratio of the maximum gas consumption to the set gas consumption;
obtaining a standard deviation of water yield according to a plurality of water yields in the plurality of groups of operation data, wherein the water yield is the ratio of the current water flow to the set water flow;
determining the maximum operation time length according to a plurality of operation time lengths in the plurality of groups of operation data, and obtaining the operation rate according to the ratio of the maximum operation time length to the set operation time length;
and obtaining the attribute value set according to the outlet water temperature standard variance, the gas consumption rate, the outlet water rate standard variance and the operation rate.
In one possible design, obtaining the evaluation data according to the attribute value of each type of data and the evaluation weight corresponding to each type of data includes:
carrying out weighted summation according to the attribute value of each type of data and the evaluation weight corresponding to each type of data to obtain an evaluation value; wherein the evaluation value is inversely related to the evaluation of the gas water heater;
and obtaining the evaluation data according to the evaluation value and the attribute value of each type of data.
In one possible design, the obtaining multiple sets of operating data of the gas water heater through the internet of things includes:
after receiving the single group of operation data, judging whether the gas water heater starts flame or not according to the single group of operation data;
if so, storing the single group of running data to a data queue in a cache;
and acquiring the multiple sets of operating data from the data queue in the cache according to the received single set of operating data for indicating the gas water heater to be turned off.
In one possible design, the obtaining the multiple sets of operating data from the data queue in the buffer according to the received single set of operating data for instructing the gas water heater to be turned off includes:
timing a preset time length after acquiring first operation data capable of indicating the gas water heater to close flame, wherein the preset time length is greater than or equal to a network delay time length;
and after a preset time length, if a single set of operating data used for indicating the gas water heater to start flame is not received, acquiring the multiple sets of operating data from the cached data queue.
In one possible design, if a single set of operating data is received that indicates that the gas water heater is on a flame when the preset time period is not reached, the method further includes:
storing the single set of operating data to a data queue in a cache;
and repeatedly executing the timing starting step until a single group of operation data used for indicating the gas water heater to start flame is not received after a preset time period, and acquiring the multiple groups of operation data from the cached data queue.
In a possible design, after obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data, the method further includes:
and deleting the multiple groups of running data from the data queue.
In a second aspect, the application provides a gas heater evaluation equipment based on thing networking, includes:
the acquisition module is used for acquiring multiple groups of operation data of the gas water heater through the Internet of things, wherein each group of operation data comprises at least one of water outlet temperature, gas consumption, water outlet rate or operation duration;
the processing module is used for obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of running data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value;
the evaluation module is used for obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data;
and the sending module is used for sending the evaluation data to the user terminal through the Internet of things.
In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes the computer execution instructions stored in the memory to realize the evaluation method of the gas water heater based on the Internet of things.
In a fourth aspect, the present application provides a computer-readable storage medium having stored thereon computer-executable instructions for implementing a method for evaluating a gas water heater based on the internet of things when executed by a processor.
The technical personnel in the field can understand that the method, the device and the storage medium for evaluating the gas water heater based on the internet of things provided by the invention can acquire multiple groups of operation data of the gas water heater through the internet of things, wherein each group of operation data comprises at least one of water outlet temperature, gas consumption, water outlet rate or operation duration; obtaining a distribution attribute value of each item of data according to the plurality of groups of running data, wherein the distribution attribute value is standard deviation or normal distribution; obtaining evaluation data according to the distribution attribute value of each item of data and a preset evaluation weight; the evaluation data is sent to the user terminal, so that the real-time evaluation function of the gas water heater is realized, the requirement on the hardware configuration of the gas water heater is low, the upgrading and updating of the gas water heater are not influenced, and the application range is wide.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a gas water heater evaluation based on the internet of things according to an embodiment of the present application;
fig. 2 is a first schematic flow chart of a gas water heater evaluation method based on the internet of things according to an embodiment of the present application;
fig. 3 is a schematic flow chart diagram ii of a gas water heater evaluation method based on the internet of things according to the embodiment of the present application;
fig. 4 is a third schematic flow chart of the gas water heater evaluation method based on the internet of things provided in the embodiment of the present application;
FIG. 5 is a scene schematic diagram of the Internet of things-based gas water heater evaluation provided by the present application;
fig. 6 is a schematic structural diagram of a gas water heater evaluation device based on the internet of things according to an embodiment of the present application;
fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Fig. 1 is a schematic view of an application scenario of the gas water heater evaluation method based on the internet of things provided by the application. As shown in fig. 1, the Internet of things (IoT) is an extended and expanded network technology based on the Internet technology, and extends a topology structure based on the Internet of things to control corresponding home appliances, thereby forming an intelligent home system based on the Internet of things. The gas water heater can generate a plurality of raw data of combustion heat during the operation process, such as: setting operation data such as water flow, current water flow, water outlet temperature, on-off state, gas consumption weight, flame existence and the like. The server 103 acquires the operation data of the gas water heater 101 in real time through the internet of things, calculates the evaluation data of the operation data, and sends the finally obtained evaluation data to the client 102 which is accessed to the internet of things user in advance in real time through a message pushing mode, so that the real-time analysis and evaluation of the gas water heater data are realized.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 2 is a schematic flow chart of a first evaluation method of the gas water heater based on the internet of things. The execution subject of the present embodiment may be, for example, a server shown in fig. 1. As shown in fig. 2, the method includes:
s201, acquiring multiple groups of operation data of the gas water heater through the Internet of things, wherein each group of operation data comprises at least one of water outlet temperature, gas consumption, water outlet rate or operation duration;
specifically, the gas water heater or a sensor for monitoring the running state of the gas water heater can monitor and generate running data of the gas water heater in real time, the running data are acquired through the Internet of things and used for the calculation process of a subsequent server, the storage and calculation resource burden of the gas water heater can be reduced through the data processing process of the server, and more credible monitoring results can be provided by linkage of various intelligent household products.
In this embodiment, multiple sets of operating data may be obtained for a complete operating process of the gas water heater from turning on the flame to turning off the flame. For example, a single set of operation data may be acquired periodically to obtain multiple sets of operation data, and this embodiment does not particularly limit this period, and may be, for example, 10 seconds, or 1 minute.
Each set of operation data may include at least one of the outlet water temperature, the gas consumption, the outlet water rate, or the operation duration, where the outlet water temperature and the outlet water rate are real-time data obtained by collection, and the gas consumption and the operation duration are cumulative quantities of the collection time from the beginning of operation, that is, the gas consumption and the operation duration of the collection time from the beginning of operation.
S202, obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of running data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value;
specifically, to accurately evaluate the operation of a gas water heater, multiple sets of operational data are required to determine the operation of the gas water heater. After acquiring multiple groups of operation data, obtaining an attribute value set according to multiple data of the same type in the multiple groups of operation data, wherein the attribute value set comprises the attribute value of each type of data.
The method includes the steps that for the water outlet temperature, the gas consumption, the water outlet rate and the operation duration of the same type in multiple groups of operation data, an attribute value set is obtained, the attribute value set comprises one attribute value corresponding to multiple water outlet temperatures, such as a standard deviation of the water outlet temperature, the attribute value set comprises one attribute value corresponding to multiple water outlet rates, such as a standard deviation of the water outlet rate, the attribute value set comprises one attribute value corresponding to multiple gas consumption, such as a gas consumption rate, and the attribute value set comprises one attribute value corresponding to multiple operation durations, such as an operation rate.
S203, obtaining evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data;
specifically, the attribute values of each type of data occupy a certain weight during evaluation, the evaluation weight corresponding to each type of data is obtained after collection and arrangement according to the use data of the actual gas water heater, and weighted summation or weighted average processing is performed according to the attribute values of each type of data and the evaluation weight corresponding to each type of data, so that the evaluation data of the gas water heater is obtained.
S204, sending the evaluation data to a user terminal;
specifically, in order to implement the real-time evaluation function, after the evaluation data is obtained, the evaluation data is sent to the user terminal in real time, so that the user can obtain the evaluation result used by the gas water heater from the user terminal in real time.
In the method provided by the embodiment, multiple groups of operation data of the gas water heater are obtained through the internet of things, and each group of operation data comprises at least one of effluent temperature, gas consumption, effluent rate or operation duration; obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of operating data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value; obtaining the evaluation data of the gas water heater according to the distribution attribute value of each type of data and the evaluation weight corresponding to each type of data; the real-time evaluation function of the gas water heater is realized, the hardware configuration requirement on the gas water heater is low, the upgrading and updating of the gas water heater are not influenced, and the application range is wide.
The method for evaluating the gas water heater based on the internet of things is described in detail below with reference to a specific embodiment.
Fig. 3 is a schematic flow chart of a gas water heater evaluation method based on the internet of things provided by the application. As shown in fig. 3, the method includes:
s301, acquiring multiple groups of operation data of the gas water heater through the Internet of things, wherein each group of operation data comprises at least one of water outlet temperature, gas consumption, water outlet rate or operation duration;
the implementation manner of S301 is similar to that of S201 described above, and this embodiment is not described here again.
S302, obtaining standard variance of the water outlet temperature according to a plurality of water outlet temperatures in the plurality of groups of operation data;
specifically, the standard variance formula of the outlet water temperature is as follows:
in the formula, delta t 2 Is the standard variance of the outlet water temperature, t 1 、t 2 …t n The water outlet temperatures are obtained periodically, n is the total number of the obtained water outlet temperatures, and M is the average of all the water outlet temperatures.
The standard deviation of the outlet water temperature represents the stability of the outlet water temperature, and the smaller the value of the standard deviation of the outlet water temperature is, the more stable the outlet water temperature is and the smaller the fluctuation of the outlet water temperature is.
S303, determining the maximum gas consumption according to a plurality of gas consumption in the plurality of groups of running data, and obtaining a gas consumption rate according to the ratio of the maximum gas consumption to the set gas consumption;
specifically, due to network transmission delay, the time for the server to acquire each set of operation data is not the same as the time for the gas water heater to generate each set of operation data, the sequence for the gas water heater to send each set of operation data may not be the same as the sequence for the server to receive each set of operation data, and the maximum gas consumption is found as an accumulated value, which is the gas consumption in the actual operation process of the gas water heater.
Wherein, the formula of the gas consumption rate is as follows:
The set gas consumption may be a maximum gas consumption set according to experience or historical usage of the user, and the greater the gas consumption, the more the gas is used.
S304, obtaining a standard deviation of water yield according to a plurality of water yields in the plurality of groups of operation data, wherein the water yield is the ratio of the current water flow to the set water flow;
specifically, the standard deviation formula of the water yield is as follows:
in the formula, delta ω 2 Is the standard deviation of water yield, omega 1 、ω 2 …ω m For each water yield obtained periodically, M is the total number of water yields obtained, M is the average of all water yields, ω is the water yield,
as the current water flow rate,
to set the water flow.
The standard deviation of the water yield represents the stability of the water outlet, and the smaller the standard deviation value of the water yield is, the more stable the water outlet flow is, and the smaller the fluctuation of the water outlet flow is.
S305, determining the maximum operation time length according to a plurality of operation time lengths in a plurality of groups of operation data, and obtaining the operation rate according to the ratio of the maximum operation time length to the set operation time length;
specifically, based on the network transmission delay, similarly, since the operation duration is an accumulated value, the maximum operation duration is found, that is, the operation duration in the actual operation process of the gas water heater once.
The calculation formula of the operation rate is as follows:
The set operation duration may be a maximum operation duration set according to experience or historical use of the user, and the larger the operation rate is, the more the operation is used.
S306, obtaining the attribute value set according to the effluent temperature standard variance, the gas consumption rate, the effluent rate standard variance and the operation rate;
s307, carrying out weighted summation according to the attribute value of each type of data and the evaluation weight corresponding to each type of data to obtain an evaluation value; wherein the evaluation value is inversely related to the evaluation of the gas water heater; specifically, the evaluation value is calculated by the formula:
S＝a×δ t 2 +b×f(x)+c×δ ω 2 +d×f(τ)，
where S is an evaluation value, a, b, c, and d are evaluation weights, and a + b + c + d =1, for example, a =0.2, b =0.3, c =0.2, and d =0.3.
When the calculated evaluation value is smaller, the evaluation of the gas water heater is better, and conversely, when the calculated evaluation value is larger, the evaluation of the gas water heater is worse.
S308, obtaining the evaluation data according to the evaluation value and the attribute value of each type of data;
the evaluation data includes not only the final evaluation value but also the attribute value of each type of data, so that the user can see not only the evaluation condition of the whole gas water heater but also the evaluation condition of each type of data, thereby being capable of reasonably using the gas water heater.
S309, sending the evaluation data to a user terminal;
the implementation manner of S309 is similar to that of S204 described above, and details of this embodiment are not described herein again.
According to the method provided by the embodiment, multiple groups of operation data of the gas water heater are obtained through the Internet of things, the standard deviation of the water outlet temperature, the gas consumption rate, the standard deviation of the water outlet rate and the operation rate are obtained according to multiple data of the water outlet temperature, the gas consumption rate, the water outlet rate and the operation duration of the same type in the multiple groups of operation data, and the attribute value set is obtained according to the standard deviation of the water outlet temperature, the gas consumption rate, the water outlet rate and the operation rate; carrying out weighted summation according to the attribute value of each type of data and the evaluation weight corresponding to each type of data to obtain an evaluation value; wherein the evaluation value is inversely related to the evaluation of the gas water heater; obtaining evaluation data according to the evaluation value and the attribute value of each type of data; the user terminal can conveniently and quickly acquire the evaluation data of the gas water heater, the evaluation data result is accurate and reliable, and the evaluation data result can be used as an effective reference basis for performance analysis and maintenance of the subsequent gas water heater.
Fig. 4 is a third schematic flow chart of the evaluation method of the gas water heater based on the internet of things provided by the application. This embodiment gives details of a process for acquiring multiple sets of operating data, and as shown in fig. 4, the method includes:
s401, after receiving the single group of operation data, judging whether the gas water heater starts flame or not according to the single group of operation data, if so, executing S402, and if not, continuing to receive the single group of operation data;
specifically, not all the acquired operation data are involved in the calculation of the evaluation data, and it is meaningful to evaluate only the operation data after the flame of the gas water heater is turned on. Therefore, after receiving the single set of operating data, firstly, whether the flame of the gas water heater is started is judged, if not, the single set of operating data is continuously received, and no processing is carried out on the received single set of operating data.
Optionally, the single set of operation data may include data of whether to turn on the flame, or determine whether to turn on the flame according to each set of operation data itself, such as whether to increase the gas consumption, whether to increase the operation duration, and so on.
S402, storing the single group of running data into a data queue in a cache;
specifically, after the flame of the gas water heater is turned on, the acquired single set of operating data is stored in a data queue for calculating evaluation data, and the single set of operating data cannot acquire final evaluation data and is only used as a parameter value for calculating the evaluation data. Therefore, by caching the single set of running data and exporting the cached single set of running data for calculation when calculation is needed, storage resources and calculation resources can be greatly saved.
And after the single set of operation data is stored in the cached data queue, acquiring the multiple sets of operation data from the data queue in the cache according to the received single set of operation data for indicating the gas water heater to be closed.
Specifically, the closing of the gas water heater is used as a trigger condition for evaluating data calculation, when the received single set of operation data contains data of the closing state of the gas water heater, calculation operation of the evaluation data is triggered, and at the moment, multiple sets of buffered operation data are obtained from the data queue for evaluation calculation.
S403, after obtaining a first single group of operation data capable of indicating the gas water heater to close flame, timing a preset time length, wherein the preset time length is greater than or equal to a network delay time length;
s404, after a preset time length, if a single set of operation data used for indicating the gas water heater to start flame is not received, acquiring the multiple sets of operation data from the cached data queue;
specifically, the operation data is transmitted from the generation to the buffer to the data queue through the network, and during the period, the transmitted operation data may have a certain network delay due to the network speed and other factors, so that the sequence of sending each group of operation data by the gas water heater may not be the same as the sequence of receiving each group of operation data by the server. Therefore, in order to avoid missing data, i.e., a case where the single set of operation data individually indicating that the gas water heater turns on the flame is received after the single set of operation data that the gas water heater turns off the flame, the preset time period is set based on the network delay time period, and is greater than or equal to the network delay time period.
When the preset duration is reached and the operating data indicating that the flame is turned on are not received, the fact that the single group of operating data are received does not exist, and the situation that the single group of operating data are not received due to network delay does not exist, and at the moment, the multiple groups of operating data are obtained from the cached data queue.
S405, if the preset time length is not reached in the timing process, receiving single group of operation data for indicating the gas water heater to start flame, and storing the single group of operation data to a data queue in a cache;
s406, repeating the timing starting step until a single set of operation data for indicating the gas water heater to start flame is not received after a preset time period, and acquiring the multiple sets of operation data from the cached data queue;
specifically, if the single set of operating data used for indicating the gas water heater to start flame is received when the preset time is not reached, the delayed single set of operating data is received due to network delay, so that the time is re-counted until the single set of operating data used for indicating the gas water heater to start flame is not received after the preset time, and the multiple sets of operating data are obtained from the cached data queue when the single set of operating data delayed by the network is received.
Optionally, in order to avoid slow operation speed due to large storage amount, after the evaluation data is obtained and sent to the user terminal, the operation data in the data queue may be deleted, and the operation data in the following time period is given a storage yield, so as to avoid data redundancy.
According to the method provided by the embodiment, after the single group of operation data is received, whether the flame of the gas water heater is started or not is judged according to the single group of operation data; if yes, storing the single group of operation data to a data queue in the cache; after the first operating data capable of indicating the gas water heater to close the flame is acquired, timing for a preset time length, acquiring multiple groups of operating data from a cached data queue if single group of operating data for indicating the gas water heater to open the flame is not received after the preset time length, and storing the single group of operating data into the cached data queue if the single group of operating data for indicating the gas water heater to open the flame is not received when the preset time length is not reached; and repeatedly executing the timing starting step until the single group of operating data for indicating the gas water heater to start the flame is not received after the preset time duration, and acquiring the multiple groups of operating data from the cached data queue to avoid the problem of inaccurate evaluation caused by network delay and missed data or incomplete data.
Fig. 5 is a scene schematic diagram of the evaluation of the gas water heater based on the internet of things provided by the application. As shown in fig. 5, when a user uses the intelligent gas water heater, a single set of operating data is uploaded to the internet of things IOT by the intelligent gas water heater, the internet of things is converted into standard data and sent to the server, the single set of operating data is stored in the message queue by the server, the real-time computing engine in the server obtains multiple sets of operating data from the message queue and performs evaluation and computation to obtain evaluation data, and the evaluation data is sent to the APP of the user terminal through the message push service.
In the embodiment of the present invention, the electronic device or the main control device may be divided into the functional modules according to the method example, for example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware or a form of a software functional module. It should be noted that, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a schematic structural diagram of a gas water heater evaluation device based on the internet of things provided by the application. As shown in fig. 6, the apparatus 60 includes:
the acquiring module 601 is configured to acquire multiple sets of operating data of the gas water heater through the internet of things, where each set of operating data includes at least one of a water outlet temperature, a gas consumption amount, a water outlet rate, and an operating duration;
specifically, the obtaining module 601 is specifically configured to: after receiving the single group of operation data, judging whether the gas water heater starts flame or not according to the single group of operation data;
if yes, storing the single group of running data to a data queue in a cache;
and acquiring the multiple sets of operating data from the data queue in the cache according to the received single set of operating data for indicating the gas water heater to be turned off.
Further, the obtaining the multiple sets of operation data from the data queue in the buffer according to the received single set of operation data for instructing the gas water heater to be turned off includes:
timing a preset time length after acquiring first operation data capable of indicating the gas water heater to close flame, wherein the preset time length is greater than or equal to a network delay time length;
and after a preset time period, if a single set of operating data used for indicating the gas water heater to start flame is not received, acquiring the multiple sets of operating data from the cached data queue.
Further, if a single set of operating data for instructing the gas water heater to start flame is received when the preset time duration is not reached, the method further includes:
storing the single set of operating data to a data queue in a cache;
and repeatedly executing the timing starting step until a single group of operation data used for indicating the gas water heater to start flame is not received after a preset time period, and acquiring the multiple groups of operation data from the cached data queue.
A processing module 602, configured to obtain an attribute value set according to multiple data of the same type in the multiple sets of operating data, where the attribute value set includes an attribute value of each type of data, and the multiple data of the same type correspond to one attribute value;
specifically, the processing module 602 is specifically configured to: obtaining a set of attribute values according to a plurality of data of the same type in the plurality of sets of operating data, including:
obtaining a standard deviation of the water outlet temperature according to a plurality of water outlet temperatures in the plurality of groups of operation data;
determining the maximum gas consumption according to a plurality of gas consumption in the plurality of groups of operation data, and obtaining the gas consumption rate according to the ratio of the maximum gas consumption to the set gas consumption;
obtaining a standard deviation of water yield according to a plurality of water yields in the plurality of groups of operation data, wherein the water yield is the ratio of the current water flow to the set water flow;
determining the maximum operation time length according to a plurality of operation time lengths in the plurality of groups of operation data, and obtaining the operation rate according to the ratio of the maximum operation time length to the set operation time length;
and obtaining the attribute value set according to the outlet water temperature standard variance, the gas consumption rate, the outlet water rate standard variance and the operation rate.
The evaluation module 603 is configured to obtain evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data;
specifically, the evaluation module 603 is specifically configured to: carrying out weighted summation according to the attribute value of each type of data and the evaluation weight corresponding to each type of data to obtain an evaluation value; wherein the evaluation value is inversely related to the evaluation of the gas water heater; and obtaining the evaluation data according to the evaluation value and the attribute value of each type of data.
Further, after obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data, the method further includes:
and deleting the multiple groups of running data from the data queue.
A sending module 604, configured to send the evaluation data to the user terminal through the internet of things.
The gas water heater evaluation equipment based on the internet of things provided by the embodiment can execute the gas water heater evaluation method based on the internet of things of the embodiment, the implementation principle and the technical effect are similar, and the embodiment is not repeated herein.
In a specific implementation of the gas water heater evaluation device based on the internet of things, the modules may be implemented as a processor, and the processor may execute computer execution instructions stored in the memory, so that the processor executes the gas water heater evaluation method based on the internet of things.
Fig. 7 is a schematic structural diagram of an electronic device provided in the present application. As shown in fig. 7, the electronic apparatus 70 includes: at least one processor 701 and a memory 702. The electronic device 70 further comprises a communication component 703. The processor 701, the memory 702, and the communication section 703 are connected by a bus 704.
In a specific implementation process, the at least one processor 701 executes computer-executable instructions stored in the memory 702, so that the at least one processor 701 executes the internet-of-things-based gas water heater evaluation method executed on the electronic device side.
For a specific implementation process of the processor 701, reference may be made to the above method embodiments, which implement principles and technical effects similar to each other, and details of this embodiment are not described herein again.
In the above embodiments, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise high speed RAM memory and may also include non-volatile storage NVM, such as at least one disk memory.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The above-mentioned scheme provided by the embodiment of the present invention is introduced with respect to the functions implemented by the electronic device and the main control device. It is understood that the electronic device or the main control device includes a hardware structure and/or a software module for performing the above functions. The elements and algorithm steps of the various examples described in connection with the embodiments disclosed herein may be embodied in hardware or in a combination of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present teachings.
The application also provides a computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when a processor executes the computer-executable instructions, the method for evaluating the gas water heater based on the internet of things is realized.
The computer-readable storage medium may be implemented by any type of volatile or non-volatile storage device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. Readable storage media can be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the readable storage medium may also reside as discrete components in an electronic device or a host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and these modifications or substitutions do not depart from the spirit of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A gas water heater evaluation method based on the Internet of things is characterized by comprising the following steps:
acquiring multiple groups of operation data of the gas water heater through the Internet of things, wherein each group of operation data comprises at least one of effluent temperature, gas consumption, effluent rate or operation duration;
obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of operating data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value;
obtaining evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data;
and sending the evaluation data to a user terminal through the Internet of things.
2. The method of claim 1, wherein obtaining a set of attribute values from a plurality of data of a same type in the plurality of sets of operational data comprises:
obtaining a standard deviation of the water outlet temperature according to a plurality of water outlet temperatures in the plurality of groups of operation data;
determining the maximum gas consumption according to a plurality of gas consumption in the plurality of groups of operation data, and obtaining the gas consumption rate according to the ratio of the maximum gas consumption to the set gas consumption;
obtaining a standard deviation of water yield according to a plurality of water yields in the plurality of groups of operation data, wherein the water yield is the ratio of the current water flow to the set water flow;
determining the maximum operation time length according to a plurality of operation time lengths in the plurality of groups of operation data, and obtaining the operation rate according to the ratio of the maximum operation time length to the set operation time length;
and obtaining the attribute value set according to the outlet water temperature standard variance, the gas consumption rate, the outlet water rate standard variance and the operation rate.
3. The method according to claim 2, wherein obtaining the evaluation data according to the attribute value of each type of data and the evaluation weight corresponding to each type of data comprises:
carrying out weighted summation according to the attribute value of each type of data and the evaluation weight corresponding to each type of data to obtain an evaluation value; wherein the evaluation value is inversely related to the evaluation of the gas water heater;
and obtaining the evaluation data according to the evaluation value and the attribute value of each type of data.
4. The method of claim 1, wherein the obtaining multiple sets of operating data of the gas water heater via the internet of things comprises:
after the single group of operation data is received, judging whether the flame of the gas water heater is started or not according to the single group of operation data;
if so, storing the single group of running data to a data queue in a cache;
and acquiring the multiple groups of operating data from the data queue in the cache according to the received single group of operating data for indicating the gas water heater to be turned off.
5. The method of claim 4, wherein the retrieving the plurality of sets of operating data from the data queue in the buffer based on the received single set of operating data indicating the gas water heater is turned off comprises:
after acquiring a first single group of operation data capable of indicating the gas water heater to close flame, timing a preset time length, wherein the preset time length is greater than or equal to a network delay time length;
and after a preset time length, if a single set of operating data used for indicating the gas water heater to start flame is not received, acquiring the multiple sets of operating data from the cached data queue.
6. The method of claim 5, wherein if the preset time period is not reached in the timing, receiving a single set of operating data instructing the gas water heater to turn on a flame, the method further comprises:
storing the single set of operating data to a data queue in a cache;
and repeating the timing starting step until a single group of operating data for indicating the gas water heater to start flame is not received after a preset time period, and acquiring the multiple groups of operating data from the cached data queue.
7. The method according to claim 4, wherein after obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data, the method further comprises:
and deleting the multiple groups of running data from the data queue.
8. The utility model provides a gas heater evaluation equipment based on thing networking which characterized in that includes:
the acquisition module is used for acquiring multiple groups of operation data of the gas water heater through the Internet of things, wherein each group of operation data comprises at least one of water outlet temperature, gas consumption, water outlet rate or operation duration;
the processing module is used for obtaining an attribute value set according to a plurality of data of the same type in the plurality of groups of running data, wherein the attribute value set comprises an attribute value of each type of data, and the plurality of data of the same type correspond to one attribute value;
the evaluation module is used for obtaining the evaluation data of the gas water heater according to the attribute value of each type of data and the evaluation weight corresponding to each type of data;
and the sending module is used for sending the evaluation data to the user terminal through the Internet of things.
9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer execution instructions;
the processor executes computer-executable instructions stored by the memory to implement the method of any of claims 1 to 7.
10. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the method of any one of claims 1 to 7.
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| CN202210742624.5A CN115289683A (en) | 2022-06-28 | 2022-06-28 | Gas water heater evaluation method and device based on Internet of things and storage medium |
| PCT/CN2023/076419 WO2024001216A1 (en) | 2022-06-28 | 2023-02-16 | Gas water heater evaluation method and device based on internet of things and storage medium |
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| CN202210742624.5A CN115289683A (en) | 2022-06-28 | 2022-06-28 | Gas water heater evaluation method and device based on Internet of things and storage medium |
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| WO2024001216A1 (en) * | 2022-06-28 | 2024-01-04 | 青岛海尔科技有限公司 | Gas water heater evaluation method and device based on internet of things and storage medium |
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