CN111271497B - Faucet control method and device, intelligent faucet and storage medium - Google Patents
Faucet control method and device, intelligent faucet and storage medium Download PDFInfo
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- CN111271497B CN111271497B CN202010076803.0A CN202010076803A CN111271497B CN 111271497 B CN111271497 B CN 111271497B CN 202010076803 A CN202010076803 A CN 202010076803A CN 111271497 B CN111271497 B CN 111271497B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16K—VALVES; TAPS; COCKS; ACTUATING-FLOATS; DEVICES FOR VENTING OR AERATING
- F16K31/00—Actuating devices; Operating means; Releasing devices
- F16K31/02—Actuating devices; Operating means; Releasing devices electric; magnetic
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- E—FIXED CONSTRUCTIONS
- E03—WATER SUPPLY; SEWERAGE
- E03C—DOMESTIC PLUMBING INSTALLATIONS FOR FRESH WATER OR WASTE WATER; SINKS
- E03C1/00—Domestic plumbing installations for fresh water or waste water; Sinks
- E03C1/02—Plumbing installations for fresh water
- E03C1/05—Arrangements of devices on wash-basins, baths, sinks, or the like for remote control of taps
- E03C1/055—Electrical control devices, e.g. with push buttons, control panels or the like
- E03C1/057—Electrical control devices, e.g. with push buttons, control panels or the like touchless, i.e. using sensors
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F16—ENGINEERING ELEMENTS AND UNITS; GENERAL MEASURES FOR PRODUCING AND MAINTAINING EFFECTIVE FUNCTIONING OF MACHINES OR INSTALLATIONS; THERMAL INSULATION IN GENERAL
- F16K—VALVES; TAPS; COCKS; ACTUATING-FLOATS; DEVICES FOR VENTING OR AERATING
- F16K37/00—Special means in or on valves or other cut-off apparatus for indicating or recording operation thereof, or for enabling an alarm to be given
- F16K37/0075—For recording or indicating the functioning of a valve in combination with test equipment
Abstract
The embodiment of the application discloses a faucet control method and device, an intelligent faucet and a storage medium, wherein the intelligent faucet comprises a sensor device, and the method comprises the following steps: detecting substance detection information of a target object by a sensor device; determining water flow control parameters according to the substance detection information; control intelligent water tap according to rivers control parameter and wash target object, so, can detect the material detection information of remaining harmful substance on the target object through sensor equipment to, control intelligent water tap more intelligently, accurately and wash target object, improve tap's intelligence, and improve accuracy and rationality when tap washs the object.
Description
Technical Field
The invention relates to the field of intelligent home furnishing, in particular to a faucet control method and device, an intelligent faucet and a storage medium.
Background
In the intelligent home field, the intelligent home equipment can realize more intelligent and personalized functions, convenience is brought to the life of a user, and the life experience of the user is improved.
At present, when people wash objects at home, stains or residual harmful substances on the objects need to be washed, some harmful substances are colorless and tasteless, a user cannot easily distinguish residual quantity of the harmful substances on the washed objects, and the objects are washed by experience or habit often, so that the objects cannot be washed for a long time or are washed completely. For example, when people wash fruits, vegetables and other food in a kitchen, the food is washed or soaked only by experience, and due to the actual residual quantity of harmful substances (such as pesticides) of the food, the food can be washed unclean or excessively used with water, and the like, so that potential safety hazards or water resource waste can be caused.
Disclosure of Invention
The embodiment of the application provides a faucet control method and device, an intelligent faucet and a storage medium, which can improve the intelligence of the faucet and improve the accuracy and rationality of the faucet in object cleaning.
A first aspect of an embodiment of the present application provides a faucet control method, which is applied to an intelligent faucet, where the intelligent faucet includes a sensor device, and the method includes:
the sensor device detects substance detection information of a target object;
determining water flow control parameters according to the substance detection information;
and controlling the intelligent water faucet to clean the target object according to the water flow control parameter.
A second aspect of the embodiments of the present application provides a faucet control device applied to an intelligent faucet, where the intelligent faucet includes a sensor device, and the device includes:
a detection unit for the sensor device to detect substance detection information of a target object;
a determination unit for determining a water flow control parameter according to the substance detection information;
and the execution unit is used for controlling the intelligent water faucet to clean the target object according to the water flow control parameter.
A third aspect of embodiments of the present application provides a sensor device comprising a processor, a memory, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the method of any of the first aspects.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the instructions of the steps of the method of the first aspect.
A fifth aspect of embodiments of the present application provides a computer program product, wherein the computer program product comprises a non-transitory computer readable storage medium storing a computer program, the computer program being operable to cause a computer to perform some or all of the steps as described in the first aspect of embodiments of the present application.
According to the faucet control method and device, the intelligent faucet and the storage medium, substance detection information of a target object is detected through sensor equipment; determining water flow control parameters according to the substance detection information; according to rivers control parameter control intelligence tap washs target object, so, can detect the material detection information who remains harmful substance on the target object through sensor equipment to, control intelligence tap more intelligently, accurately and wash target object, improve tap's intelligence, and improve accuracy and rationality when tap washs the object.
Drawings
In order to more clearly illustrate the embodiments of the present application 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, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1A is a schematic diagram of an architecture for implementing a faucet control method according to an embodiment of the present disclosure;
fig. 1B is a schematic structural diagram of a sensor device according to an embodiment of the present disclosure;
fig. 1C is a schematic product diagram of an intelligent faucet provided in an embodiment of the present application;
FIG. 1D is a schematic flow chart illustrating a faucet control method according to an embodiment of the present disclosure;
fig. 1E is a schematic diagram of a waveform of relative absorption rate of light according to an embodiment of the present disclosure;
FIG. 1F is a schematic view of a scenario for providing a disinfection suggestion according to the disinfection suggestion provided by the embodiment of the present application;
fig. 1G is a schematic illustration showing how to collect multiple videos of a target object when multiple areas are cleaned according to an embodiment of the present disclosure;
fig. 1H is a schematic illustration showing a video captured when an area of a target object is cleaned according to an embodiment of the present disclosure;
FIG. 1I is a schematic illustration of another embodiment of the present disclosure showing multiple videos of a target object captured while multiple areas are being cleaned;
FIG. 2 is a schematic flow chart illustrating another faucet control method according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a faucet control method according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a sensor device according to an embodiment of the present application;
fig. 5 is a block diagram of a faucet control device according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein may be combined with other embodiments.
The following describes embodiments of the present application in detail.
In the traditional computer vision technology, information is acquired by a sensor and then is sent to a background for processing, a signal processing module is used for carrying out effect processing, and the information is transmitted to a computer vision module from the signal processing module for processing. Different from a mechanism that the conventional sensor collects data and sends the data to the backend device, the sensor device provided by the present application is a combination of a sensor and a computer vision module, as shown in fig. 1A, fig. 1A is an architectural diagram for implementing a faucet control method provided by an embodiment of the present application. The sensor equipment can directly and locally perform data processing, namely the sensor equipment performs data acquisition and analysis processing to obtain a recognition result, and performs specific control based on the recognition result, and an internal algorithm of the sensor equipment can be updated and optimized through a platform.
The sensor equipment can acquire the information of a specific target through the information acquisition module, and the information acquired by the information acquisition module is transmitted to the sensor/computer vision module; the sensor/computer vision module may process the information and then perform a specific series of operations based on the processing results. In addition, the sensor device can also transmit the acquired original information or the information processed by the sensor/computer vision module to the background, and the background further processes the received data (effect processing).
Referring to fig. 1B, fig. 1B is a schematic structural diagram of a sensor device according to an embodiment of the present disclosure, where the sensor device includes an information acquisition module, a front-end processing module and a computer vision chip, and the front-end processing module includes at least one sensor unit, an analog signal processing circuit and an analog-to-digital conversion circuit; the computer vision chip includes a digital signal processor and at least one artificial intelligence processor.
The at least one sensor unit is connected with the analog signal processing circuit and used for receiving a measuring signal (namely, information acquired by the information acquisition module), converting the measuring signal into an electric signal and transmitting the electric signal to the analog signal processing circuit.
The analog signal processing circuit is connected with the analog-to-digital conversion circuit and used for processing the analog signal of the electric signal and transmitting the analog processing result to the analog-to-digital conversion circuit.
The analog-to-digital conversion circuit is used for converting the analog processing result into a digital signal and outputting the digital signal.
The digital signal processor is used for performing digital signal processing according to the electric signal generated by the front-end processing module and outputting a digital signal processing result.
The memory is used for storing the digital signal processing result and comprises a sharing area and n exclusive areas.
The shared area is used for storing various information (for different application scenarios, different information needs to be collected for control of different devices to perform specific processing) that needs to perform specific signal processing (for example, format conversion, effect processing). For example, taking image information as an example, the sensor device may include a pixel unit array (i.e., a signal acquisition module), an analog signal processing circuit, an analog-to-digital conversion circuit, a control circuit, an interface circuit, and the like. The external light irradiates the pixel unit array to generate a photoelectric effect, corresponding charges are generated in the pixel unit array, namely the image sensing unit acquires an optical signal, the optical signal is converted into an electric signal, the electric signal is subjected to analog signal processing, an analog processing result is converted into a digital signal under the control of the clock circuit, and the control circuit controls the digital signal to transmit the digital signal to a shared area of the memory through the interface circuit.
The exclusive area is used for storing specific information, and the specific information may include information of a specific target (for example, for different targets, when a specific device to be controlled is controlled, there is a specific differential control), and information of a specific type (for example, some collected information is special, and is used for an artificial intelligence processor to directly use without front-end processing). (in the specific application, the exclusive corresponding relation between the exclusive area and the artificial intelligence processor can be designed).
The artificial intelligence processor is used for acquiring specific information or digital signal processing results from the memory and executing corresponding artificial intelligence processing operation according to the specific information or digital signal processing results.
Referring to fig. 1C, fig. 1C is a schematic product diagram of an intelligent faucet according to an embodiment of the present disclosure, where the intelligent faucet includes a sensor device, where the sensor device is configured to detect substance detection information of a target object; determining water flow control parameters according to the substance detection information; and controlling the intelligent water faucet to clean the target object according to the water flow control parameter.
Optionally, the sensor device is further configured to acquire a captured video of the target object when being cleaned, detect an area where the target object is cleaned, and display the captured substance detection information of the target object when the target object is cleaned, for example, when the target object is cleaned, the sensor device may capture the captured video of a certain area where the target object is cleaned, and display substance detection sub-information of the area, so that a user may know the substance detection information of the residual substance on the target object in real time, and further clean more reasonably and intelligently.
Referring to fig. 1D, fig. 1D is a schematic flowchart of a faucet control method applied to an intelligent faucet according to an embodiment of the present application, where the intelligent faucet includes a sensor device, and as shown in fig. 1D, the faucet control method includes:
101. the sensor device detects substance detection information of a target object.
The target object is an object to be cleaned through the intelligent faucet, for example, the target object may be food such as vegetables and fruits, or may be a living appliance, and the substance detection information may include at least one of the following: the type of the target substance, the content of the target substance, and the like of the residual substance on the target object, for example, in a scene of cleaning vegetables and fruits, the substance detection information may be substance detection information of the residual harmful substance such as pesticide and chemical fertilizer on the vegetables and fruits, and for example, in a scene of cleaning other living equipment, the substance detection information may be substance detection information of the residual harmful substance such as dust, bacteria and viruses on the living equipment, which is not limited herein.
Optionally, in step 101, the detecting information of the substance of the target object by the sensor device may include:
11. the sensor equipment detects the target object to obtain sensor data;
12. and carrying out data processing on the sensor data to obtain the substance detection information.
In this application embodiment, sensor device can be used to detect the target object, obtains the sensor data of target object, and then handles sensor data through sensor device, obtains the material detection information of target object, and wherein, the material detection information can include following at least one: target substance type and target substance content, and the like.
Optionally, in step 11, the detecting, by the sensor device, the target object to obtain sensor data may include:
13. the sensor equipment transmits a first light ray of a preset frequency band, receives a second light ray reflected by the target object and obtains sensor data of the target object;
in the step 12, the data processing of the sensor data to obtain the substance detection information may include the following steps:
14. generating a light ray relative absorbance waveform map according to the sensor data, wherein the light ray relative absorbance waveform map is a waveform map of the relative absorbance of the light ray relative to the absorption of the light ray by the target object, which varies with the wavelength;
15. determining light absorption data of the target object according to the light relative absorption rate oscillogram;
16. and determining the substance detection information according to the light absorption data.
In a specific implementation, the sensor device emits a first light beam in a preset frequency band, receives a second light beam reflected by a target object, and generates a light relative absorption rate waveform according to the first light beam and the second light beam, as shown in fig. 1E, a schematic diagram of a light relative absorption rate waveform provided in an embodiment of the present application is shown, where a horizontal axis of a coordinate system represents a wavelength, and a vertical axis represents a relative absorption rate of the light beam absorbed by a hazardous substance relative to that absorbed by the target object. Furthermore, light absorption data of the target object may be determined according to the light relative absorption rate waveform map, and the light absorption data may include at least one of: a target waveband corresponding to an absorption peak in the light relative absorption rate oscillogram, an absorption rate reference value of light of the target waveband, and the like, and finally, material detection information can be determined according to light absorption data.
Optionally, in step 15, the determining the substance detection information according to the light absorption data may include:
1501. determining a target waveband corresponding to an absorption peak in the waveform diagram of the relative absorption rate of the light;
1502. determining an absorptance reference of the light in the target wavelength band.
In the embodiment, the absorption peak appears in different wavelength bands to represent different substances, so that the target substance type of the substance remaining on the target object can be determined according to the target wavelength band, and in addition, the absorption reference values of the substances absorbed by the substances in the target wavelength bands are different, which indicates that the substance content of the remaining substance is different, so that the absorption reference value of the light in the target wavelength band can be determined, and the target substance content can be determined according to the absorption reference value.
Optionally, the step 1502 of determining the absorption rate reference value of the light in the target wavelength band may include the steps of:
1521. determining residual characteristic information of the hazardous substance according to the type of the target substance;
1522. if the residual characteristic information meets a first preset condition, sampling a light ray relative absorption rate waveform corresponding to the target waveband to obtain a plurality of relative absorption rates in one-to-one correspondence with a plurality of sampling wavelengths, wherein the relative absorption rate is the relative absorption rate of the light ray absorbed by the hazardous substance relative to the light ray absorbed by the target object; determining a target weight corresponding to each sampling wavelength in the plurality of sampling wavelengths according to a mapping relation between a preset wavelength and the weight to obtain a plurality of target weights; determining the absorbance reference value according to the plurality of target weights and the plurality of relative absorbances;
1523. and if the residual characteristic information meets a second preset condition, taking the absorption rate peak value of the target waveband as the absorption rate reference value.
In the embodiment of the application, the residual characteristics of different types of residual substances on the target object are different, for example, the residual characteristics of some harmful substances on vegetables and fruits are permeating and uniformly distributed, and the residual characteristics of other harmful substances on vegetables and fruits are not permeated for fixed-point dosing, so that different ways of determining the reference value of the absorption rate can be set for the residual substances with different residual characteristics. If the residual characteristic information meets a first preset condition, wherein the first preset condition can be that harmful substances permeate and are uniformly distributed on a target object, then, the relative light absorption rate waveform corresponding to a target wave band can be sampled to obtain a plurality of relative absorption rates in one-to-one correspondence with a plurality of sampling wavelengths, and then, a target weight corresponding to each sampling wavelength in the plurality of sampling wavelengths is determined according to the mapping relation between the preset wavelength and the weight to obtain a plurality of target weights; and finally, determining the absorptivity reference value according to the target weights and the relative absorptivity, wherein the formula for determining the absorptivity reference value is as follows: the absorbance reference value is a first target weight value, a first relative absorbance, a second target weight value, a second relative absorbance, a third target weight value, a third relative absorbance, and the sum of the target weight values is 1. If the residual characteristic information satisfies a second predetermined condition, the second predetermined condition may be that the harmful substance is attached to the target object in a non-permeation fixed-point dosing manner, and thus, the peak value of the absorbance of the target wavelength band may be used as the reference value of the absorbance. Therefore, the absorption rate reference value can be determined more accurately and reasonably aiming at residual substances of different target substance types, and further, the substance detection information can be obtained more accurately.
Optionally, the substance detection information includes at least one of: the step 14 of determining the substance detection information according to the light absorption data may include the steps of:
1401. searching a preset light absorption database according to the target waveband to obtain the type of the target hazardous substance corresponding to the target waveband, wherein the light absorption database comprises a plurality of different wavebands, a plurality of substance types corresponding to the different wavebands one by one, and a plurality of substance contents corresponding to a plurality of absorptions of each substance type in the plurality of substance types;
1402. and searching the content of the target substance which belongs to the type of the target substance and corresponds to the absorption rate reference value in the light absorption database.
In an embodiment of the present application, the smart faucet may further include a memory, where the memory may store a light absorption database in advance, and specifically, may set the light absorption database in advance, where a first mapping relationship between the wavelength band and the material type is stored in the light absorption database, so that the target material type corresponding to the target wavelength band may be determined according to the first mapping relationship. The light absorption database also stores a second mapping relation between the absorptivity and the substance content under each substance type, so that the target substance content corresponding to the absorptivity reference value can be determined according to the second mapping relation corresponding to the target substance type after the target substance type is determined.
102. And determining water flow control parameters according to the substance detection information.
Wherein the water flow control parameters may include at least one of: the water flow, the water temperature, the pH value or the washing time and the like are determined according to the material detection information, wherein the water flow control parameters are determined according to the material detection information, different water flow control parameters such as water flow, water temperature, pH value or washing time and the like can be set according to different types of the target materials of the harmful materials remained on the target object, different water flow control parameters such as water flow, water temperature, pH value or washing time and the like can be set according to different contents of the target materials of the harmful materials remained on the target object, and thus, the water flow control parameters of the intelligent faucet for washing the target object can be controlled more reasonably. In a specific implementation, the memory may store a water flow control parameter lookup table in advance, as shown in table 1 below, which is an example of a water flow control parameter lookup table provided in an embodiment of the present application,
TABLE 1
As shown in table 1, the water flow control parameter lookup table may include a plurality of substance types, a plurality of substance content ranges in each substance type, and a plurality of sets of water flow control parameters corresponding to the plurality of substance content ranges one to one, so that after the target substance type and the target substance content are determined, the water flow control parameters in the water flow control parameter lookup table may be determined according to the target substance type and the target substance content.
103. And controlling the intelligent water faucet to clean the target object according to the water flow control parameter.
In the embodiment of the application, rivers control parameter such as when the discharge of steerable rivers, temperature, pH valve perhaps wash to, more intelligently, rationally wash the target object, prevent that the user from leading to can not the sanitization because of not being clear the material detection information of harmful substance on the target object, perhaps extravagant too much water washs the target object.
Optionally, in this embodiment of the present application, the following steps may also be included:
31. determining a disinfection recommendation for the target object based on the substance detection information;
32. and carrying out disinfection prompt according to the disinfection suggestion.
In the embodiment of the application, the intelligent faucet can determine the disinfection suggestion according to the material detection information besides controlling the water flow for cleaning the target object, and prompt a user to disinfect the target object, for example, the intelligent faucet can display the prompt information through a display, and is used for prompting the user to soak and disinfect by adopting a disinfection product, or peel off fruits and vegetables, and the like.
For example, referring to fig. 1F, fig. 1F is a schematic view of a scenario of a disinfection suggestion according to a disinfection suggestion provided in an embodiment of the present application, in which a user detects substance detection information of a residual substance on a target object through a sensor device during a process of cleaning food such as vegetables and fruits or cleaning other target objects, for example, the type of the target substance is pesticide and a target substance content of the pesticide, and determines a disinfection suggestion for the target object, for example, peeling or soaking, if the target substance content is greater than a preset pesticide content threshold, and displays a disinfection suggestion identifier for peeling or soaking on a display, where peeling corresponds to a first disinfection suggestion identifier, soaking corresponds to a second disinfection suggestion identifier, and a form of the disinfection suggestion identifier is not limited here.
Optionally, the sensor device may further include a display, and the substance detection information includes a plurality of substance detection sub-information corresponding to a plurality of regions on the target object, in this embodiment, the method may further include:
33. the sensor equipment detects the overturning operation of the target object when being cleaned to obtain a plurality of areas cleaned when the target object is overturned;
34. acquiring a plurality of collected videos of the plurality of areas when being cleaned;
35. if the display area of the display is smaller than or equal to a preset area threshold value, displaying a target acquisition video of a currently cleaned target area in the plurality of areas and substance detection sub-information corresponding to the target area in real time; and if the display area of the display is larger than the preset area threshold, displaying the acquired video corresponding to each area in the plurality of areas and the substance detection sub-information corresponding to the area.
In this embodiment, considering that the material content of the residual material in each region of the target object may be different, therefore, the sensor device may be used to detect the flipping operation when the target object is cleaned, and when the target object is flipped, determine the plurality of regions where the target object is cleaned, please refer to fig. 1G, where fig. 1G is a schematic diagram illustrating a plurality of videos collected when the plurality of regions of the target object are cleaned according to an embodiment of the present disclosure, in a specific implementation, the sensor device may first determine a first region where the target object is initially cleaned, and detect the first material detection sub-information of the first region through the sensor device, and when the sensor device detects the motion parameter where the target object is flipped, determine a second region where the target object is detected according to the motion parameter, where the motion parameter may include at least one of: the angular velocity, acceleration, angle, etc. of the object being turned over, or the sensor device detects the change of the material content of the residual material, it can be determined that the object is turned over to the second area, and further, it can be determined the second material detection sub-information of the second area, so that, as the object is turned over, the sensor device can collect a plurality of collected videos of the object when the areas are cleaned, and detect the material detection sub-information of each area through the sensor device sensor, and obtain a plurality of material detection sub-information, and further, during the cleaning of the object, the collected videos of the areas can be respectively displayed, wherein, when the first area of the object is cleaned, the second collected video of the first area can be displayed, and the first target material type, material content, etc. of the residual material of the first area can be respectively displayed, The first target substance content is displayed, and the first flushing time length of the first area can also be displayed. When the second area of the target object is cleaned, a second captured video of the second area can be displayed, a second target substance type and a second target substance content of residual substances of the second area can be displayed, and a second rinsing duration of the second area can also be displayed. If the display area of the display carried by the intelligent faucet is larger than the preset area threshold, a plurality of collected videos can be displayed on the display in a split-screen manner, as shown in fig. 1G, where "the substance M" is a target substance type of a substance remaining on a target object, and H01, H02, H03.. is a target substance content of a plurality of regions, and if the display area of the display carried by the intelligent faucet is smaller than or equal to the preset area threshold, as shown in fig. 1H, fig. 1H is a schematic illustration showing a collected video when one region of the target object provided by the embodiment of the present application is cleaned, the collected video of one region can be displayed by the display each time, the collected video corresponding to the region where the current target object is cleaned is displayed by the display, specifically, when the first region of the target object is cleaned, the first collected video corresponding to the first region is displayed, and when the second region of the target object is cleaned, the second acquisition video corresponding to the second area is displayed, so that convenience and intelligence of the intelligent faucet can be improved, and a user is helped to better clean the target object.
Optionally, in an embodiment of the present application, the method may further include:
determining the change information of the target substance content of the residual substance of the target substance type of each of the plurality of regions to obtain a plurality of change information, and displaying the plurality of change information.
For each of the plurality of regions, change information of the target substance content of the residual substance of the target substance type of the region may be determined, that is, change information of the target substance content decreasing when each region is cleaned is detected in real time by the sensor device and displayed on the display, so that the user can observe the process of the target substance content decreasing gradually of the residual substance of each region of the target object in real time when the target object is cleaned. Referring to fig. 1H, the change information of the residual content of the target substance is shown according to a progress bar. Referring to fig. 1I, if the display area of the display is greater than the preset area threshold, the change information of the content of the target substance corresponding to each of the plurality of areas is displayed in each of the plurality of areas, so that when any area I is being cleaned, the content of the target substance of the area I is reduced, the collected video I corresponding to the area I also shows that the area I is being cleaned, meanwhile, other areas are not cleaned at this time, the content of the target substance corresponding to the other areas does not change, and the collected videos corresponding to the other areas also stay on the picture that is cleaned last time until the other areas are cleaned again. Therefore, the user can more intuitively indicate the user to clean the target object more conveniently and more intuitively, wherein the content of the target substance in the target area is reduced, the target substance in the target area is cleaned quickly, and the content of the target substance in the target area is higher.
As can be seen, in the embodiments of the present application, substance detection information of a target object is detected by a sensor device; determining water flow control parameters according to the substance detection information; according to rivers control parameter control intelligence tap washs target object, so, can detect the material detection information who remains harmful substance on the target object through sensor equipment to, control intelligence tap more intelligently, accurately and wash target object, improve tap's intelligence, and improve accuracy and rationality when tap washs the object.
Referring to fig. 2, fig. 2 is a schematic flowchart of another faucet control method provided in an embodiment of the present application, and the method is applied to an intelligent faucet, where the intelligent faucet includes a sensor device, and as shown in fig. 2, the faucet control method in the embodiment includes:
201. the sensor equipment transmits a first light ray of a preset frequency band, receives a second light ray reflected by the target object and obtains sensor data of the target object;
202. generating a light ray relative absorbance waveform map according to the sensor data, wherein the light ray relative absorbance waveform map is a waveform map of the relative absorbance of the light ray relative to the absorption of the light ray by the target object, which varies with the wavelength;
203. determining a target waveband corresponding to an absorption peak in the waveform diagram of the relative absorption rate of the light;
204. determining an absorptance reference of the light in the target wavelength band;
205. searching a preset light absorption database according to the target waveband to obtain a target hazardous substance type corresponding to the target waveband, wherein the light absorption database comprises a plurality of different wavebands, a plurality of substance types corresponding to the different wavebands one by one, and a plurality of substance contents corresponding to a plurality of absorptivity of each substance type in the plurality of substance types;
206. searching the content of the target substance which belongs to the type of the target substance and corresponds to the absorption rate reference value in the light absorption database;
207. determining a water flow control parameter based on material detection information, the material detection information including at least one of: a target species type and a target species content;
208. and controlling the intelligent water faucet to clean the target object according to the water flow control parameter.
For example, in a scene of cleaning objects such as vegetables and fruits, pesticide residues on a target object can be detected by a sensor device, specifically, the sensor device can be controlled to emit first light rays with different wavelengths in a range between 500nm and 1100nm, then a light ray relative absorption rate waveform diagram is generated according to received second light rays reflected by the target object, wherein as shown in fig. 1C, a target wavelength band corresponding to an absorption peak in the light ray relative absorption rate waveform diagram is 900nm to 1100nm, if 900nm to 1100nm is a wavelength band corresponding to pesticide, a target substance type of pesticide remaining on the target object can be determined to be pesticide, a target substance content of pesticide can be determined according to an absorption rate reference value, and water flow control parameters such as water flow, water temperature, pH value or washing time length can be determined according to the target substance type and the target substance content, therefore, the target object is cleaned more intelligently and reasonably, and the situation that the user cannot clean the target object or the target object is cleaned by wasting too much water due to the fact that the user does not know the substance detection information of the harmful substances on the target object is prevented.
The detailed descriptions of the steps 201 to 208 may refer to the corresponding descriptions of the faucet control method described in fig. 1B, and are not repeated herein.
In the embodiment of the application, when the sensor device detects that the residual substance absorbs light, the target waveband corresponding to the absorption peak in the light relative absorption rate oscillogram and the absorption rate reference value of the light in the target waveband are determined, substance detection information is determined according to the target waveband and the absorption rate reference value, and then water flow control parameters such as water flow, water temperature, pH value or washing duration are determined according to the type of the target substance and the content of the target substance.
Referring to fig. 3, fig. 3 is a schematic flowchart of a faucet control method provided in an embodiment of the present application, and is applied to an intelligent faucet, where the intelligent faucet includes a sensor device, and as shown in fig. 3, the method includes:
301. the sensor device detects substance detection information of a target object;
302. determining water flow control parameters according to the substance detection information;
303. controlling the intelligent water faucet to clean the target object according to the water flow control parameter;
304. the substance detection information includes a plurality of substance detection sub-information corresponding to a plurality of areas on the target object, and the sensor device detects a turning operation when the target object is washed;
305. and acquiring a plurality of collected videos when the plurality of areas are cleaned according to the turning operation.
306. And displaying the acquired video corresponding to each of the plurality of areas and the substance detection sub-information corresponding to the area on the display.
The detailed descriptions of steps 301 to 306 may refer to the corresponding descriptions of the faucet control method described in fig. 1B, and are not repeated herein.
In the embodiment of the present application, substance detection information of a target object is detected by a sensor device; determining water flow control parameters according to the substance detection information; controlling an intelligent water faucet to clean a target object according to water flow control parameters, and detecting the overturning operation of the target object when the target object is cleaned through sensor equipment; acquiring a plurality of collected videos of a plurality of cleaned areas according to the turning operation; with the acquisition video that each region corresponds in a plurality of regions and the material that this region corresponds detect sub-information display and be in on the display, so, can detect the material detection information of remaining harmful substance on the target object through sensor equipment to, control intelligence tap more intelligently, accurately and wash the target object, degree of accuracy and rationality when improving tap and wasing the object, and, improve intelligence tap's convenience and intellectuality.
Fig. 4 is a schematic structural diagram of a sensor device according to an embodiment of the present application, and as shown in fig. 4, the sensor device includes a processor, a memory, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the programs include instructions for performing the following steps:
the sensor device detects substance detection information of a target object;
determining water flow control parameters according to the substance detection information;
and controlling the intelligent water faucet to clean the target object according to the water flow control parameter.
It can be seen that the intelligent faucet provided by the embodiment of the application detects the substance detection information of the target object through the sensor device; determining water flow control parameters according to the substance detection information; according to rivers control parameter control intelligence tap washs target object, so, can detect the material detection information who remains harmful substance on the target object through sensor equipment to, control intelligence tap more intelligently, accurately and wash target object, improve tap's intelligence, and improve accuracy and rationality when tap washs the object.
In one possible example, in terms of the sensor device detecting substance detection information of a target object, the above program includes instructions for performing the steps of:
the sensor equipment detects the target object to obtain sensor data;
and carrying out data processing on the sensor data to obtain the substance detection information.
In one possible example, the program includes instructions for performing the following steps in terms of the sensor device detecting the target object and obtaining sensor data:
the sensor equipment transmits a first light ray of a preset frequency band, receives a second light ray reflected by the target object and obtains sensor data of the target object;
in the data processing of the sensor data to obtain the substance detection information, the program includes instructions for:
generating a light ray relative absorbance waveform map according to the sensor data, wherein the light ray relative absorbance waveform map is a waveform map of the relative absorbance of the light ray relative to the absorption of the light ray by the target object, which varies with the wavelength;
determining light absorption data of the target object according to the light relative absorption rate oscillogram;
and determining the substance detection information according to the light absorption data.
In one possible example, in the determining the light absorption data of the target object according to the light relative absorption rate waveform map, the program includes instructions for:
determining a target waveband corresponding to an absorption peak in the waveform diagram of the relative absorption rate of the light;
determining an absorptance reference of the light in the target wavelength band.
In one possible example, the substance detection information includes at least one of: a target substance type and a target substance content, the program comprising instructions for performing the following steps in said determining the substance detection information from the light absorption data:
searching a preset light absorption database according to the target waveband to obtain a target hazardous substance type corresponding to the target waveband, wherein the light absorption database comprises a plurality of different wavebands, a plurality of substance types corresponding to the different wavebands one by one, and a plurality of substance contents corresponding to a plurality of absorptivity of each substance type in the plurality of substance types;
and searching the content of the target substance which belongs to the type of the target substance and corresponds to the absorption rate reference value in the light absorption database.
In one possible example, the substance detection information is substance detection information of a hazardous substance remaining on the target object, and in the determining of the absorbance reference value of the light in the target wavelength band, the program includes instructions for performing the steps of:
determining residual characteristic information of the hazardous substance according to the type of the target substance;
if the residual characteristic information meets a first preset condition, sampling a light ray relative absorption rate waveform corresponding to the target waveband to obtain a plurality of relative absorption rates in one-to-one correspondence with a plurality of sampling wavelengths, wherein the relative absorption rate is the relative absorption rate of the light ray absorbed by the hazardous substance relative to the light ray absorbed by the target object; determining a target weight corresponding to each sampling wavelength in the plurality of sampling wavelengths according to a mapping relation between preset wavelengths and weights to obtain a plurality of target weights; determining the absorbance reference value according to the target weights and the relative absorbances;
and if the residual characteristic information meets a second preset condition, taking the absorption rate peak value of the target waveband as the absorption rate reference value.
In one possible example, the program further includes instructions for performing the steps of:
determining a disinfection recommendation for the target object from the substance detection information;
and carrying out disinfection prompt according to the disinfection suggestion.
In one possible example, the substance detection information includes a plurality of substance detection sub-information corresponding to a plurality of regions on the target object, and the program further includes instructions for performing the steps of:
the sensor device detects a turning operation when the target object is washed;
acquiring a plurality of collected videos when the plurality of areas are cleaned according to the turning operation;
and displaying the acquired video corresponding to each of the plurality of areas and the substance detection sub-information corresponding to the area on the display.
Fig. 5 is a block diagram showing functional units of a faucet control device 500 according to an embodiment of the present application. Applied to an intelligent faucet, which comprises a sensor device, this faucet control device 500 is applied to a faucet control device, which comprises:
a detection unit 501 for the sensor device to detect substance detection information of a target object;
a determining unit 502 for determining a water flow control parameter according to the substance detection information;
and the execution unit 503 is configured to control the intelligent water faucet to clean the target object according to the water flow control parameter.
It should be noted that, for the specific working processes of the detecting unit 501, the determining unit 502 and the executing unit 503, reference is made to the related description of the step 101-103. And will not be described in detail herein.
It can be seen that in the embodiment of the present application, the substance detection information of the target object is detected by the sensor device; determining water flow control parameters according to the substance detection information; according to rivers control parameter control intelligence tap washs target object, so, can detect the material detection information who remains harmful substance on the target object through sensor equipment to, control intelligence tap more intelligently, accurately and wash target object, improve tap's intelligence, and improve accuracy and rationality when tap washs the object.
In an optional case, in terms of the sensor device detecting the substance detection information of the target object, the detection unit 501 is specifically configured to:
the sensor equipment detects the target object to obtain sensor data;
and carrying out data processing on the sensor data to obtain the substance detection information.
In an optional case, in terms of the sensor device detecting the target object and obtaining sensor data, the detecting unit 501 is specifically configured to:
the sensor equipment transmits a first light ray of a preset frequency band, receives a second light ray reflected by the target object and obtains sensor data of the target object;
in the aspect of performing data processing on the sensor data to obtain the substance detection information, the detection unit 501 is specifically configured to:
generating a light ray relative absorbance waveform map according to the sensor data, wherein the light ray relative absorbance waveform map is a waveform map of the relative absorbance of the light ray relative to the absorption of the light ray by the target object, which varies with the wavelength;
determining light absorption data of the target object according to the light relative absorption rate oscillogram;
and determining the substance detection information according to the light absorption data.
In an optional case, in the aspect of determining the light absorption data of the target object according to the light relative absorption rate waveform diagram, the detecting unit 501 is specifically configured to:
determining a target waveband corresponding to an absorption peak in the waveform diagram of the relative absorption rate of the light;
determining an absorptance reference of the light in the target wavelength band.
In an optional case, the substance detection information includes at least one of: a type of a target substance and a content of the target substance, and in the aspect of determining the substance detection information according to the light absorption data, the detection unit 501 is specifically configured to:
searching a preset light absorption database according to the target waveband to obtain the type of the target hazardous substance corresponding to the target waveband, wherein the light absorption database comprises a plurality of different wavebands, a plurality of substance types corresponding to the different wavebands one by one, and a plurality of substance contents corresponding to a plurality of absorptions of each substance type in the plurality of substance types;
and searching the content of the target substance which belongs to the type of the target substance and corresponds to the absorption rate reference value in the light absorption database.
In an optional case, the substance detection information is substance detection information of hazardous substances remaining on the target object, and in terms of the determining the absorption rate reference value of the light in the target wavelength band, the detecting unit 501 is specifically configured to:
determining residual characteristic information of the hazardous substance according to the type of the target substance;
if the residual characteristic information meets a first preset condition, sampling a light ray relative absorption rate waveform corresponding to the target waveband to obtain a plurality of relative absorption rates in one-to-one correspondence with a plurality of sampling wavelengths, wherein the relative absorption rate is the relative absorption rate of the light ray absorbed by the hazardous substance relative to the light ray absorbed by the target object; determining a target weight corresponding to each sampling wavelength in the plurality of sampling wavelengths according to a mapping relation between preset wavelengths and weights to obtain a plurality of target weights; determining the absorbance reference value according to the target weights and the relative absorbances;
and if the residual characteristic information meets a second preset condition, taking the absorption rate peak value of the target waveband as the absorption rate reference value.
Optionally, the determining unit 502 is further configured to determine a disinfection suggestion for the target object according to the substance detection information;
the execution unit 503 is further configured to perform a disinfection prompt according to the disinfection suggestion.
In an optional case, the substance detection information includes a plurality of substance detection sub-information corresponding to a plurality of areas on the target object,
the detection unit 501 is further configured to detect a turning operation of the target object when the target object is cleaned by the sensor device; acquiring a plurality of collected videos when the plurality of areas are cleaned according to the turning operation;
the execution unit 503 is further configured to display, on the display, the captured video corresponding to each of the plurality of regions and the substance detection sub-information corresponding to the region.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, and the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a mobile terminal.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a mobile terminal.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the above-described units is only one type of logical functional division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps of the various methods of the above embodiments may be implemented by associated hardware as a program, which may be stored in a computer-readable memory, the memory may include: flash disk, ROM, RAM, magnetic or optical disk, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for the ordinary technicians in this field, according to the idea of this application, there are variations in the specific implementation and application scope, and in summary, the content of this specification should not be understood as the limitation of this application.
Claims (10)
1. A faucet control method, applied to an intelligent faucet including a sensor device, the method comprising:
the sensor device detects substance detection information of a target object;
determining water flow control parameters according to the substance detection information;
controlling the intelligent water faucet to clean the target object according to the water flow control parameters;
the sensor device includes a display, the method further comprising:
the sensor equipment detects the overturning operation of the target object when being cleaned, obtains a plurality of areas cleaned when the target object is overturned, and detects substance detection sub-information of each area in the plurality of areas;
acquiring a plurality of collected videos of the plurality of areas when being cleaned;
if the display area of the display is smaller than or equal to a preset area threshold, displaying a target acquisition video of a target area which is cleaned currently in the plurality of areas and substance detection sub-information corresponding to the target area; and if the display area of the display is larger than the preset area threshold, displaying the acquired video corresponding to each area in the plurality of areas and the substance detection sub-information corresponding to the area.
2. The method of claim 1, wherein the sensor device detects substance detection information of a target object, comprising:
the sensor equipment detects the target object to obtain sensor data;
and carrying out data processing on the sensor data to obtain the substance detection information.
3. The method of claim 2, wherein the sensor device detects the target object, resulting in sensor data, comprising:
the sensor equipment transmits a first light ray of a preset frequency band, receives a second light ray reflected by the target object and obtains sensor data of the target object;
the data processing of the sensor data to obtain the substance detection information includes:
generating a light ray relative absorbance waveform map according to the sensor data, wherein the light ray relative absorbance waveform map is a waveform map of the relative absorbance of the light ray relative to the absorption of the light ray by the target object, which varies with the wavelength;
determining light absorption data of the target object according to the light relative absorption rate oscillogram;
and determining the substance detection information according to the light absorption data.
4. The method of claim 3, wherein determining the light absorption data of the target object from the light relative absorption rate profile comprises:
determining a target waveband corresponding to an absorption peak in the waveform diagram of the relative absorption rate of the light;
determining an absorptance reference of the light in the target wavelength band.
5. The method of claim 4, wherein the substance detection information comprises at least one of: a target species type and a target species content, said determining said species detection information from said light absorption data comprising:
searching a preset light absorption database according to the target waveband to obtain a target hazardous substance type corresponding to the target waveband, wherein the light absorption database comprises a plurality of different wavebands, a plurality of substance types corresponding to the different wavebands one by one, and a plurality of substance contents corresponding to a plurality of absorptivity of each substance type in the plurality of substance types;
and searching the content of the target substance which belongs to the type of the target substance and corresponds to the absorptivity reference value in the light absorption database.
6. The method according to claim 5, wherein the substance detection information is substance detection information of hazardous substances remaining on the target object, and the determining the absorbance reference value of the light in the target wavelength band includes:
determining residual characteristic information of the hazardous substance according to the type of the target substance;
if the residual characteristic information meets a first preset condition, sampling a light ray relative absorption rate waveform corresponding to the target waveband to obtain a plurality of relative absorption rates in one-to-one correspondence with a plurality of sampling wavelengths, wherein the relative absorption rate is the relative absorption rate of the light ray absorbed by the hazardous substance relative to the light ray absorbed by the target object; determining a target weight corresponding to each sampling wavelength in the plurality of sampling wavelengths according to a mapping relation between preset wavelengths and weights to obtain a plurality of target weights; determining the absorbance reference value according to the target weights and the relative absorbances;
and if the residual characteristic information meets a second preset condition, taking the absorption rate peak value of the target waveband as the absorption rate reference value.
7. The method of claim 6, further comprising:
determining a disinfection recommendation for the target object based on the substance detection information;
and carrying out disinfection prompt according to the disinfection suggestion.
8. A faucet control device, applied to an intelligent faucet including a sensor device, the device comprising:
a detection unit for detecting substance detection information of a target object by the sensor device;
a determination unit for determining a water flow control parameter according to the substance detection information;
the execution unit is used for controlling the intelligent water faucet to clean the target object according to the water flow control parameter;
the sensor device comprises a display and a display,
the detection unit is further configured to: detecting, by the sensor device, a turning operation when the target object is washed, obtaining a plurality of areas that are washed when the target object is turned, and detecting substance detection sub-information of each of the plurality of areas;
acquiring a plurality of collected videos when the plurality of areas are cleaned;
the execution unit is further configured to: if the display area of the display is smaller than or equal to a preset area threshold, displaying a target acquisition video of a currently cleaned target area in the plurality of areas and substance detection sub-information corresponding to the target area; and if the display area of the display is larger than the preset area threshold, displaying the acquired video corresponding to each area in the plurality of areas and the substance detection sub-information corresponding to the area.
9. A sensor device, characterized in that the sensor device comprises a processor and a memory, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the method of any of claims 1-7.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-7.
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