CN111260605B - Intelligent action execution method - Google Patents
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Abstract
The invention relates to an intelligent action execution method, which comprises the steps of providing an intelligent action execution device, identifying whether a mouse body exists in a water tank or not, determining whether to start an opening closing device, an inlet closing device and a drainage pump or not on the basis of identification, and adopting a wide-caliber drainage pipe with the diameter being more than or equal to 20 cm and connecting the drainage pipe with the drainage pump for finishing the drainage of all articles in the water tank.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to an intelligent action execution method.
Background
Intellectualization refers to the property of things that actively meet various requirements of people under the support of technologies such as network, big data, internet of things and artificial intelligence. For example, an unmanned automobile is an intelligent thing, and the technologies of sensor internet of things, mobile internet, big data analysis and the like are integrated, so that the travel demand of people can be actively met. He is active because, unlike a conventional automobile, he requires passive human steering.
The intellectualization is the trend of modern human civilization development, and intelligent materials are indispensable important links for realizing the intellectualization. The intelligent material is an important direction of the development of the material science and is also the necessity of the development of the material science. The intelligent material structure is a new emerging comprehensive science with multiple disciplines crossed. The research content of the intelligent material is very rich, and the intelligent material relates to a plurality of leading-edge subjects and high-new intelligent materials which play very important roles in the aspects of industrial and agricultural production, scientific technology, people's life, national economy and the like, and has very wide application fields.
Tap water is drinking water produced by professional equipment through a plurality of complex process flows. The tap water treatment process is as follows:
firstly, water sources are extracted from rivers and lakes to water plants (water inlets in different regions are different, and the water sources directly influence the drinking water quality of one region);
then, after coagulation, precipitation, filtration, and disinfection, the water is delivered into a clean water tank and then delivered into a tap water pipeline by a water pump under high pressure, and the general main pipeline uses pipes such as prestressed concrete pipes, steel pipes, PE pipes, nodular cast iron pipes, and the like;
and ultimately to the user's faucet. The whole process needs to be tested for a plurality of times of water quality, and some places can enter the family of users only through secondary pressurization and secondary disinfection.
In the prior art, the water tank of tap water lacks an effective protection mechanism, so that the water quality of the water tank is easily polluted, for example, once a mouse runs into the water tank, the mouse cannot escape completely, bacteria on the mouse and various pollutions caused by stink corpses cause the water quality of the water tank to be deteriorated, and the health of water using people is seriously influenced.
Disclosure of Invention
The present invention has at least the following important points:
(1) whether a mouse body exists in the water tank or not is identified with high precision, and whether the opening closing equipment, the inlet closing equipment and the drainage pump are started or not is determined on the basis of identification, and the key point is that a wide-caliber drainage pipe with the diameter being more than or equal to 20 cm is adopted and connected with the drainage pump for finishing the drainage of all articles in the water tank;
(2) respectively executing self-adaptive image processing based on respective matrix content on an L channel matrix, an A channel matrix and a B channel matrix in an LAB space of an image, thereby realizing a targeted image processing mode;
(3) and taking a pixel point when a certain pixel value appears for the first time in the image as a primary pixel point, and taking a pixel point when the certain pixel value appears for more than the second time as a repeated pixel point, so as to realize the customization judgment of the repeated pixel point.
According to an aspect of the present invention, there is provided an intelligent motion performing method, the method including providing an intelligent motion performing apparatus for recognizing whether a mouse exists inside a water tank and determining whether to activate the opening closing device, the inlet closing device and the drain pump at the same time based on the recognition, and further using a wide-caliber drain pipe having a diameter of 20 cm or more connected to the drain pump for completing the draining of all objects in the water tank, the intelligent motion performing apparatus including: the automatic water changing component comprises opening closing equipment, inlet closing equipment, a wide-caliber drain pipe and a drain pump, wherein the wide-caliber drain pipe is buried at the bottom of the water tank, the inlet closing equipment is embedded in the side wall of the water tank, and the opening closing equipment is buried at the bottom of the water tank.
More specifically, in the intelligent action performing apparatus: the diameter of the pipe body of the wide-caliber drain pipe is more than or equal to 20 cm, and the drainage pump is connected with the wide-caliber drain pipe.
More specifically, in the intelligent action performing apparatus: the automatic water changing component further comprises a microcontroller which is respectively connected with the opening closing device, the inlet closing device and the drainage pump and is used for simultaneously starting the opening closing device, the inlet closing device and the drainage pump when receiving a mouse body detection signal.
More specifically, in the intelligent action performing apparatus: the microcontroller is further configured to not perform a start-up operation on the opening closure device, the inlet closure device, and the drain pump upon receiving a mouse undetected signal.
More specifically, in the intelligent action performing apparatus, the apparatus further includes: the wired camera is embedded in the side wall of the water tank and is used for carrying out camera shooting operation on the internal environment of the water tank so as to obtain and output a corresponding internal environment image; the duplication degree analysis equipment is connected with the wired camera and used for receiving the internal environment image, acquiring each pixel value of each pixel point in the internal environment image, analyzing each repeated pixel point in the internal environment image, and determining the image duplication degree which is in direct proportion to the repeated pixel point on the basis of the number of the repeated pixel points; the duplication degree analysis equipment comprises a signal receiving unit, a pixel point judging unit and a signal mapping unit; the pixel point judging unit is respectively connected with the signal receiving unit and the signal mapping unit; the signal receiving unit is used for receiving the internal environment image, the pixel point judging unit is used for obtaining each pixel value of each pixel point in the internal environment image, the pixel point when a certain pixel value appears for the first time in the internal environment image is taken as a primary pixel point, and the pixel point when the certain pixel value appears for more than the second time is taken as a repeated pixel point; the signal mapping unit is used for determining the image repetition degree which is in direct proportion to the number of the repeated pixel points based on the number of the repeated pixel points; and the communication control equipment is arranged between the repeatability analysis equipment and the channel extraction equipment and used for starting receiving the internal environment image from the repeatability analysis equipment when the numerical value of the received image repeatability is less than or equal to a preset repeatability threshold value, and otherwise, interrupting the receiving of the internal environment image from the repeatability analysis equipment.
The intelligent action execution device is safe and reliable and has wide application. The method is characterized in that a wide-caliber drain pipe with the diameter being more than or equal to 20 cm is adopted and connected with the drainage pump to discharge all objects in the water tank, so that the water tank is prevented from being polluted.
Detailed Description
Embodiments of the present invention will be described in detail below.
In order to overcome the defects, the invention provides an intelligent action execution method which comprises the steps of providing an intelligent action execution device, identifying whether a mouse body exists in a water tank or not, determining whether to start the opening closing equipment, the inlet closing equipment and the drainage pump or not on the basis of identification, and adopting a wide-caliber drainage pipe with the diameter being more than or equal to 20 cm and connecting the drainage pipe with the drainage pump for finishing the drainage of all objects in the water tank. The intelligent action execution device can effectively solve the corresponding technical problem.
The intelligent action execution device shown according to the embodiment of the invention comprises:
the automatic water changing component comprises opening closing equipment, inlet closing equipment, a wide-caliber drain pipe and a drain pump, wherein the wide-caliber drain pipe is buried at the bottom of the water tank, the inlet closing equipment is embedded in the side wall of the water tank, and the opening closing equipment is buried at the bottom of the water tank.
Next, a specific configuration of the intelligent operation execution device according to the present invention will be further described.
In the intelligent action execution device:
the diameter of the pipe body of the wide-caliber drain pipe is more than or equal to 20 cm, and the drainage pump is connected with the wide-caliber drain pipe.
In the intelligent action execution device:
the automatic water changing component further comprises a microcontroller which is respectively connected with the opening closing device, the inlet closing device and the drainage pump and is used for simultaneously starting the opening closing device, the inlet closing device and the drainage pump when receiving a mouse body detection signal.
In the intelligent action execution device:
the microcontroller is further configured to not perform a start-up operation on the opening closure device, the inlet closure device, and the drain pump upon receiving a mouse undetected signal.
The intelligent action execution device further comprises:
the wired camera is embedded in the side wall of the water tank and is used for carrying out camera shooting operation on the internal environment of the water tank so as to obtain and output a corresponding internal environment image;
the duplication degree analysis equipment is connected with the wired camera and used for receiving the internal environment image, acquiring each pixel value of each pixel point in the internal environment image, analyzing each repeated pixel point in the internal environment image, and determining the image duplication degree which is in direct proportion to the repeated pixel point on the basis of the number of the repeated pixel points;
the duplication degree analysis equipment comprises a signal receiving unit, a pixel point judging unit and a signal mapping unit;
the pixel point judging unit is respectively connected with the signal receiving unit and the signal mapping unit;
the signal receiving unit is used for receiving the internal environment image, the pixel point judging unit is used for obtaining each pixel value of each pixel point in the internal environment image, the pixel point when a certain pixel value appears for the first time in the internal environment image is taken as a primary pixel point, and the pixel point when the certain pixel value appears for more than the second time is taken as a repeated pixel point;
the signal mapping unit is used for determining the image repetition degree which is in direct proportion to the number of the repeated pixel points based on the number of the repeated pixel points;
the communication control equipment is arranged between the repeatability analyzing equipment and the channel extracting equipment and used for starting receiving the internal environment image from the repeatability analyzing equipment when the numerical value of the received image repeatability is smaller than or equal to a preset repeatability threshold value, and otherwise, interrupting the receiving of the internal environment image from the repeatability analyzing equipment;
a channel extraction device configured to receive the internal environment image, and perform spatial transformation on the internal environment image to obtain an L-channel matrix, an a-channel matrix, and a B-channel matrix in an LAB space of the internal environment image;
the dynamic filtering processing equipment is connected with the channel extraction equipment and is used for determining the times of performing Gaussian filtering processing on the L channel matrix based on the mean square error of the L channel matrix, determining the times of performing Gaussian filtering processing on the A channel matrix based on the mean square error of the A channel matrix and determining the times of performing Gaussian filtering processing on the B channel matrix based on the mean square error of the B channel matrix;
the matrix processing equipment is connected with the dynamic filtering processing equipment and is used for respectively executing Gaussian filtering processing on the L channel matrix, the A channel matrix and the B channel matrix for corresponding times so as to obtain three corresponding processed matrixes;
the image superposition device is connected with the matrix processing device and is used for superposing the data of the three processed matrixes to obtain a superposed processed image;
the object extraction equipment is connected with the image superposition equipment and used for extracting a corresponding mouse body area from the superposed image based on mouse imaging characteristics, and sending a mouse body detection signal when pixel points occupied by the mouse body area exceed the limit, otherwise, sending a mouse body undetected signal;
wherein, in the dynamic filter processing apparatus, determining the number of times of performing gaussian filter processing on the L-channel matrix based on the mean square error of the L-channel matrix includes: the smaller the mean square error of the L-channel matrix is, the fewer times of performing Gaussian filtering processing on the L-channel matrix is;
wherein, in the dynamic filter processing apparatus, determining the number of times of performing gaussian filter processing on the a-channel matrix based on the mean square error of the a-channel matrix includes: the smaller the mean square error of the a-channel matrix is, the fewer times the gaussian filtering process is performed on the a-channel matrix is.
In the intelligent action execution device:
in the dynamic filter processing apparatus, determining the number of times of performing the gaussian filter processing on the B-channel matrix based on the mean square error of the B-channel matrix includes: the smaller the mean square error of the B-channel matrix, the fewer the number of times gaussian filtering processing is performed on the B-channel matrix.
The intelligent action execution device further comprises:
and the quantity measuring device is connected with the image superposition device and used for identifying the quantity of the objects in the superposition processing image, and performing uniform region segmentation on the superposition processing image based on the quantity of the objects to obtain a plurality of image regions.
The intelligent action execution device further comprises:
the data selection device is connected with the quantity measuring device and used for receiving the image areas, executing traversal based on the zigzag in the overlapped processing image and taking each image area traversed by the zigzag as each target processing area;
and the blocking operation device is connected with the data selection device and used for receiving the target processing areas, executing geometric dimension error identification operation on each target processing area to obtain the geometric dimension error of each target processing area, and determining the representative geometric dimension error of the superposed processing image based on the geometric dimension error of each target processing area.
The intelligent action execution device further comprises:
a size correction device, connected to the object extraction device, the quantity measurement device, and the blocking operation device, respectively, and configured to receive the representative geometric size error, and perform geometric size correction processing on the overlay processing image when the representative geometric size error is greater than or equal to a preset geometric size error, to obtain a corresponding size correction image, and further configured to take the overlay processing image as a size correction image when the representative geometric size error is less than the preset geometric size error, and further configured to send the size correction image to the quantity measurement device in place of the overlay processing image;
the wireless routing equipment is connected with the size correction equipment and is used for receiving the size correction image, performing MPEG-4 image compression coding on the size correction image and wirelessly distributing the size correction image subjected to compression coding;
wherein, in the blocking operation device, determining a representative geometric error of the overlay-processed image based on the geometric errors of the respective target processing regions includes: sorting the geometric dimension errors of the target processing areas, and taking the geometric dimension error of the target processing area with the central sequence number as a representative geometric dimension error of the superposed processing image;
in the quantity measuring device, the more the number of the objects is, the less the number of pixel points occupied by each obtained image area is.
In addition, compared with an extended product combining a simple Wireless AP and a broadband Router, the Wireless routing device (Wireless Router) not only has all functions of the simple Wireless AP, such as supporting a DHCP client, supporting a VPN, a firewall, supporting WEP encryption, and the like, but also includes a network address conversion function, and can support network connection sharing of local area network users. The Internet connection sharing in the family wireless network can be realized, and the wireless sharing access of ADSL, Cable modem and cell broadband can be realized.
The wireless router equipment can be directly connected with all ADSL MODEM or CABLE MODEM connected with the Ethernet, and can also be accessed again in a local area network mode such as a switch/concentrator, a broadband router and the like when in use. The simple virtual dialing software is arranged in the network, the user name and the password can be stored for dialing and surfing the Internet, the automatic dialing function can be provided for ADSL, CM and the like which access the Internet by dialing, and manual dialing or occupation of a computer as a server are not needed. In addition, the wireless router generally has a relatively more complete security protection function.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature.
Although the present invention has been described with reference to the above embodiments, it should be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention. Therefore, the protection scope of the present invention should be subject to the scope defined by the claims of the present application.
Claims (5)
1. An intelligent action execution method, which comprises the steps of providing an intelligent action execution device, identifying whether a mouse exists in a water tank or not, determining whether an opening closing device, an inlet closing device and a drainage pump are started or not simultaneously on the basis of the identification, adopting a wide-caliber drainage pipe with the diameter being more than or equal to 20 cm, and connecting the drainage pipe with the drainage pump for completing the drainage of all objects in the water tank, wherein the intelligent action execution device comprises:
the automatic water changing component comprises opening closing equipment, inlet closing equipment, a wide-caliber drain pipe and a drain pump, wherein the wide-caliber drain pipe is buried at the bottom of the water tank, the inlet closing equipment is embedded in the side wall of the water tank, and the opening closing equipment is buried at the bottom of the water tank;
the drainage pump is connected with the wide-caliber drainage pipe;
the automatic water changing component further comprises a microcontroller which is respectively connected with the opening closing device, the inlet closing device and the drainage pump and is used for simultaneously starting the opening closing device, the inlet closing device and the drainage pump when receiving a mouse body detection signal;
the microcontroller is also used for not executing starting operation on the opening closing equipment, the inlet closing equipment and the drainage pump when receiving a mouse body undetected signal;
the wired camera is embedded in the side wall of the water tank and is used for carrying out camera shooting operation on the internal environment of the water tank so as to obtain and output a corresponding internal environment image;
the duplication degree analysis equipment is connected with the wired camera and used for receiving the internal environment image, acquiring each pixel value of each pixel point in the internal environment image, analyzing each repeated pixel point in the internal environment image, and determining the image duplication degree which is in direct proportion to the repeated pixel point on the basis of the number of the repeated pixel points;
the duplication degree analysis equipment comprises a signal receiving unit, a pixel point judging unit and a signal mapping unit;
the pixel point judging unit is respectively connected with the signal receiving unit and the signal mapping unit;
the signal receiving unit is used for receiving the internal environment image, the pixel point judging unit is used for obtaining each pixel value of each pixel point in the internal environment image, the pixel point when a certain pixel value appears for the first time in the internal environment image is taken as a primary pixel point, and the pixel point when the certain pixel value appears for more than the second time is taken as a repeated pixel point;
the signal mapping unit is used for determining the image repetition degree which is in direct proportion to the number of the repeated pixel points based on the number of the repeated pixel points;
the communication control equipment is arranged between the repeatability analysis equipment and the channel extraction equipment and used for starting receiving the internal environment image from the repeatability analysis equipment when the numerical value of the received image repeatability is smaller than or equal to a preset repeatability threshold value, and otherwise, interrupting the receiving of the internal environment image from the repeatability analysis equipment;
a channel extraction device configured to receive the internal environment image, and perform spatial transformation on the internal environment image to obtain an L-channel matrix, an a-channel matrix, and a B-channel matrix in an LAB space of the internal environment image;
the dynamic filtering processing equipment is connected with the channel extraction equipment and is used for determining the times of performing Gaussian filtering processing on the L channel matrix based on the mean square error of the L channel matrix, determining the times of performing Gaussian filtering processing on the A channel matrix based on the mean square error of the A channel matrix and determining the times of performing Gaussian filtering processing on the B channel matrix based on the mean square error of the B channel matrix;
the matrix processing equipment is connected with the dynamic filtering processing equipment and is used for respectively executing Gaussian filtering processing on the L channel matrix, the A channel matrix and the B channel matrix for corresponding times so as to obtain three corresponding processed matrixes;
the image superposition device is connected with the matrix processing device and is used for superposing the data of the three processed matrixes to obtain a superposed processed image;
the object extraction equipment is connected with the image superposition equipment and used for extracting a corresponding mouse body area from the superposed image based on mouse imaging characteristics, and sending a mouse body detection signal when pixel points occupied by the mouse body area exceed the limit, otherwise, sending a mouse body undetected signal;
wherein, in the dynamic filter processing apparatus, determining the number of times of performing gaussian filter processing on the L-channel matrix based on the mean square error of the L-channel matrix includes: the smaller the mean square error of the L-channel matrix is, the fewer times of performing Gaussian filtering processing on the L-channel matrix is;
wherein, in the dynamic filter processing apparatus, determining the number of times of performing gaussian filter processing on the a-channel matrix based on the mean square error of the a-channel matrix includes: the smaller the mean square error of the a-channel matrix is, the fewer times the gaussian filtering process is performed on the a-channel matrix is.
2. The method of claim 1, wherein:
in the dynamic filter processing apparatus, determining the number of times of performing the gaussian filter processing on the B-channel matrix based on the mean square error of the B-channel matrix includes: the smaller the mean square error of the B-channel matrix, the fewer the number of times gaussian filtering processing is performed on the B-channel matrix.
3. The method of claim 2, wherein the apparatus further comprises:
and the quantity measuring device is connected with the image superposition device and used for identifying the quantity of the objects in the superposition processing image, and performing uniform region segmentation on the superposition processing image based on the quantity of the objects to obtain a plurality of image regions.
4. The method of claim 3, wherein the apparatus further comprises:
the data selection device is connected with the quantity measuring device and used for receiving the image areas, executing traversal based on the zigzag in the overlapped processing image and taking each image area traversed by the zigzag as each target processing area;
and the blocking operation device is connected with the data selection device and used for receiving the target processing areas, executing geometric dimension error identification operation on each target processing area to obtain the geometric dimension error of each target processing area, and determining the representative geometric dimension error of the superposed processing image based on the geometric dimension error of each target processing area.
5. The method of claim 4, wherein the apparatus further comprises:
a size correction device, connected to the object extraction device, the quantity measurement device, and the blocking operation device, respectively, and configured to receive the representative geometric size error, and perform geometric size correction processing on the overlay processing image when the representative geometric size error is greater than or equal to a preset geometric size error, to obtain a corresponding size correction image, and further configured to take the overlay processing image as a size correction image when the representative geometric size error is less than the preset geometric size error, and further configured to send the size correction image to the quantity measurement device in place of the overlay processing image;
the wireless routing equipment is connected with the size correction equipment and is used for receiving the size correction image, performing MPEG-4 image compression coding on the size correction image and wirelessly distributing the size correction image subjected to compression coding;
wherein, in the blocking operation device, determining a representative geometric error of the overlay-processed image based on the geometric errors of the respective target processing regions includes: sorting the geometric dimension errors of the target processing areas, and taking the geometric dimension error of the target processing area with the central sequence number as a representative geometric dimension error of the superposed processing image;
in the quantity measuring device, the more the number of the objects is, the less the number of pixel points occupied by each obtained image area is.
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