CN109724152A - Heating equipment hot channel flow velocity switching system - Google Patents

Heating equipment hot channel flow velocity switching system Download PDF

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Publication number
CN109724152A
CN109724152A CN201810820832.6A CN201810820832A CN109724152A CN 109724152 A CN109724152 A CN 109724152A CN 201810820832 A CN201810820832 A CN 201810820832A CN 109724152 A CN109724152 A CN 109724152A
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equipment
piecemeal
image
subgraph
connect
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童竟倞
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Yongkang Bee Ant Technology Co Ltd
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Yongkang Bee Ant Technology Co Ltd
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Abstract

The present invention relates to a kind of heating equipment hot channel flow velocity switching systems, include: pressure alarm equipment, be arranged on heating equipment, carries out pressure measurement for the heating system radiating tube road to heating equipment, to issue Pressure Alarm when the pressure measured is less than or equal to preset pressure threshold value;Field camera is arranged on heating equipment, for carrying out pan-shot to environment where heating equipment, to obtain live panoramic picture, and exports the live panoramic picture;Context resolution equipment, it is connect with the gravimetric analysis equipment, it is acted for executing following parsing to the live panoramic picture: obtaining each gray value of each pixel in the live panoramic picture, gray value is fallen in into the pixel in default dust gray areas as dust pixel, each dust pixel in the live panoramic picture is fitted to obtain one or more dust areas.By means of the invention it is possible to meet the human body heating demands under various scenes.

Description

Heating equipment hot channel flow velocity switching system
Technical field
The present invention relates to intelligent heating field more particularly to a kind of heating equipment hot channel flow velocity switching systems.
Background technique
Heating equipment is to make the heat supply that people live or the space that is produced is maintained at suitable Warm status and are arranged Facility.
To the method for certain space heating amount, directly the stove of generation heat can be installed therein;It can also extract out Air therein, sends back to again after heating;It can also be maintained at the object of higher temperature in wherein device, to the heat release of place space. This higher object of temperature is known as the radiator that heats.To make to heat, radiator continues heat release, can be connected with the fluid by preheating It is flowed through in radiator on continuous ground.This fluid is usually steam or hot water, referred to as heat-carrying medium or heating agent.Heating agent is arranged on the sky Between other than heat production, thermal-arrest or heat exchange equipment (heat source) heating after, be assigned to each heating radiator with hot duct.Heating agent handle After entrained a part of heat is transmitted to radiator, heat source is flowed back to by reflux line, is reheated.Heating agent circulation circulation, just Constantly heat can be transferred to by warm space.
Typical heating equipment is made of heat source, heating agent pipeline and heating radiator.These three elements have When can simplify, merge or omit.Such as the heat source and radiator of stove heating are combined, there is no need to heating agent circulation pipelines. The heating of the fiery pool is simpler, with red-hot fuel and combustion product Xiang Shounuan space heat release, radiator also without.
Summary of the invention
In order to solve the bad technical problem of current heating equipment heat dissipation effect, the present invention provides a kind of heating equipments to dissipate It is pre- to improve image using twin-stage filter patterns and self-adaption binaryzation adjusting thresholds mode for heat pipeline flow velocity switching system The effect of processing;In the parsing of picture material, when the area in the region that dust occupies transfinites, using automatic cleaning equipment to taking the photograph As the camera lens of equipment carries out automated cleaning processing, wherein the dynamics of cleaning treatment is directly proportional to the area in the region that dust occupies; The comparison of the partial variance of gray value based on each subgraph identifies a need for multiple subgraphs of image enhancement processing, And enhanced multiple subgraphs are substituted into original image;It is corresponding so as to be determined based on attachment human bodily form's size Water velocity, to drive the water flow in heating system radiating tube road to carry out the flowing of corresponding speed.
According to an aspect of the present invention, a kind of heating equipment hot channel flow velocity switching system, the system packet are provided It includes:
Pressure alarm equipment is arranged on heating equipment, carries out pressure survey for the heating system radiating tube road to heating equipment Amount, to issue Pressure Alarm when the pressure measured is less than or equal to preset pressure threshold value;Field camera, setting exist On heating equipment, for carrying out pan-shot to environment where heating equipment, to obtain live panoramic picture, and export described existing Field panoramic picture;Context resolution equipment is connect with the gravimetric analysis equipment, for receiving the live panoramic picture, to institute It states live panoramic picture and executes following parsing movement: obtaining each gray value of each pixel in the live panoramic picture, Gray value is fallen in into the pixel in default dust gray areas as dust pixel, it will be each in the live panoramic picture A dust pixel is fitted to obtain one or more dust areas;Domain identification equipment, with the Context resolution equipment Region area is more than preset area threshold for receiving one or more dust areas in the live panoramic picture by connection The dust area of value exports one or more pending areas in the live panoramic picture as pending area;Area Detection device is connect with the domain identification equipment, to be processed for receiving one or more of described live panoramic picture Region, determines the area of each pending area, and counts the area summation of one or more of pending areas, determines The area summation occupies the ratio of the live panoramic picture area, when the ratio transfinites, to issue the accumulative letter of dust Number;Automatic cleaning equipment connect with the area detecting equipment, is arranged in above the camera lens of the field camera, is used for When receiving the dust accumulated signal, using cleaning dynamics corresponding with the area summation to the mirror of the field camera Head carries out automated cleaning processing;Recursive filtering equipment is connect with the field camera, for receiving the live panorama sketch Picture executes adaptive recursive filtering to the live panoramic picture and handles, to obtain and export recursive filtering image;Wiener filtering Equipment is connect with the recursive filtering equipment, for receiving the recursive filtering image, and based in the recursive filtering image Noise amplitude size execute different dynamics Wiener filtering processing, to obtain corresponding Wiener Filtering;Intelligent piecemeal is set It is standby, it is connect with the Wiener filtering equipment, for receiving the Wiener Filtering, determines the fuzzy of the Wiener Filtering Degree, and the fog-level based on the Wiener Filtering carries out piecemeal processing to the Wiener Filtering, it is big to obtain Small identical multiple images piecemeal;Parameter adjustment device is connect, for receiving described multiple images with the intelligent piecemeal equipment Piecemeal is executed following processing to each image block: being obtained the binarization threshold of described image piecemeal, base based on OTSU algorithm Each binarization threshold of each image block of described image piecemeal neighborhood is obtained in OTSU algorithm, it is adjacent based on image block is stated Each binarization threshold of each image block in domain is adjusted described in acquisition the binarization threshold of described image piecemeal Threshold value after the adjustment of image block, and export threshold value after the adjustment of described image piecemeal;In the parameter adjustment device, it is based on Each binarization threshold of each image block of described image piecemeal neighborhood carries out the binarization threshold of described image piecemeal Adjustment includes: described image piecemeal neighborhood image piecemeal and described image piecemeal with threshold value after obtaining the adjustment of described image piecemeal Matching degree it is higher, then described image piecemeal neighborhood image piecemeal gets over the influence degree of the binarization threshold of described image piecemeal Greatly;Binaryzation executes equipment, connect with the parameter adjustment device, for receiving described multiple images piecemeal and each figure As threshold value after the corresponding adjustment of piecemeal, two are carried out to described image piecemeal based on threshold value after the corresponding adjustment of each image block Value is handled to obtain binaryzation piecemeal, and exports the corresponding each binaryzation piecemeal of each image block;Piecemeal combination Equipment executes equipment with the binaryzation and connect, for receiving each binaryzation piecemeal, by each binaryzation piecemeal It merges, Fusion Edges is carried out to the image after merging to obtain the image of fusion, and as piecemeal combination image output;Partially Variance identifies equipment, connect with the piecemeal unit equipment, for receiving the piecemeal combination image, to the piecemeal constitutional diagram Each subgraph of picture executes the partial variance detection of gray value respectively, to obtain the corresponding each folk prescription of each subgraph Difference, wherein the partial variance detection for executing gray value respectively to each subgraph of piecemeal combination image includes: for each A subgraph extracts the gray value of each pixel of the subgraph, the gray scale of each pixel based on the subgraph Value calculates the partial variance of the subgraph;Subgraph identification apparatus is connect with partial variance identification equipment, each for receiving Each partial variance of subgraph calculates the mean value of each partial variance of each subgraph, by partial variance to the distance of the mean value More than limitation subgraph as identified sub-images, and export each identified sub-images in piecemeal combination image;Subgraph It as processing equipment, is connect with the subgraph identification apparatus, for receiving each identified sub-images, to each identification Image executes the image enhancement processing based on its signal-to-noise ratio, to obtain corresponding enhancing subgraph, wherein the letter of identified sub-images It makes an uproar than smaller, the amplitude of the image enhancement processing executed to it is bigger, and the subgraph processing equipment exports multiple enhancing subgraphs Picture;Subgraph replacement equipment is connect, for receiving respectively with the subgraph identification apparatus and the subgraph processing equipment Multiple enhancing subgraphs are stated, and combines the piecemeal in image and deletes each identified sub-images, and correspondingly fill into each increasing Hadron image, to obtain corresponding enhancing replacement image;The bodily form identifies equipment, connect, is used for the subgraph replacement equipment Enhancing replacement image is received, the human body target of the enhancing replacement image is identified, to obtain corresponding human body subgraph, And the area percentage that image is replaced in the enhancing is occupied based on the human body subgraph and determines that the human body subgraph is corresponding The body profile dimensions of human body target as current body profile dimensions to export;Pipeline driving equipment identifies equipment with the bodily form respectively It is connected with the heating system radiating tube road, for determining corresponding water velocity based on the current body profile dimensions, to drive heating Water flow in hot channel carries out the flowing of corresponding speed.
More specifically, in the heating equipment hot channel flow velocity switching system: in the pipeline driving equipment, institute State that current body profile dimensions are bigger, the corresponding water velocity determined is slower.
More specifically, in the heating equipment hot channel flow velocity switching system: the pressure alarm equipment is also used to When the pressure measured is greater than preset pressure threshold value, pressure normal signal is issued.
More specifically, in the heating equipment hot channel flow velocity switching system: in the area detecting equipment, also When ratio for occupying the live panoramic picture area in the area summation does not transfinite, dust normal signal is issued.
More specifically, in the heating equipment hot channel flow velocity switching system: in the automatic cleaning equipment, adopting It includes: described for carrying out automated cleaning processing to the camera lens of the field camera with cleaning dynamics corresponding with the area summation Area summation is bigger, and the cleaning dynamics for carrying out automated cleaning processing to the field camera is bigger.
More specifically, in the heating equipment hot channel flow velocity switching system: in the automatic cleaning equipment, When receiving the dust normal signal, terminate to handle the automated cleaning that the camera lens of the field camera carries out.
More specifically, in the heating equipment hot channel flow velocity switching system: in the intelligent piecemeal equipment, institute The fog-level for stating Wiener Filtering is smaller, and the number for the image block that piecemeal processing obtains is carried out to the Wiener Filtering It measures more.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the heating according to used in the heating equipment hot channel flow velocity switching system shown in embodiment of the present invention The sectional view of equipment.
Specific embodiment
The embodiment of heating equipment hot channel flow velocity switching system of the invention is carried out below with reference to accompanying drawings detailed It describes in detail bright.
Heating equipment can directly be installed therein the stove of generation heat by the method for certain space heating amount; Air therein can also be extracted out, sent back to again after heating;It can also be maintained at the object of higher temperature in wherein device, to place Space heat release.This higher object of temperature is known as the radiator that heats.To make to heat, radiator continues heat release, can be with by preheating Fluid continuously flowed through in radiator.This fluid is usually steam or hot water, referred to as " heating agent ".Heating agent is arranged on the sky Between other than heat production, thermal-arrest or heat exchange equipment (heat source) heating after, be assigned to each heating radiator with hot duct.Heating agent handle After entrained a part of heat is transmitted to radiator, heat source is flowed back to by reflux line, is reheated.Heating agent circulation circulation, just Constantly heat can be transferred to by warm space.
Typical heating equipment is made of heat source, heating agent pipeline and heating radiator.These three elements have When can simplify, merge or omit.Such as the heat source and radiator of stove heating are combined, there is no need to heating agent circulation pipelines. The heating of the fiery pool is simpler, with red-hot fuel and combustion product Xiang Shounuan space heat release, radiator also without.
In order to overcome above-mentioned deficiency, the present invention has built a kind of heating equipment hot channel flow velocity switching system, Neng Gouyou Effect solves corresponding technical problem.
Fig. 1 is the heating according to used in the heating equipment hot channel flow velocity switching system shown in embodiment of the present invention The sectional view of equipment.1 is combustion chamber, and 2 be protective cover, and 3 be hot channel, and 4 be control assembly.
The heating equipment hot channel flow velocity switching system shown according to an embodiment of the present invention includes:
Pressure alarm equipment is arranged on heating equipment, carries out pressure survey for the heating system radiating tube road to heating equipment Amount, to issue Pressure Alarm when the pressure measured is less than or equal to preset pressure threshold value;
Field camera is arranged on heating equipment, for carrying out pan-shot to environment where heating equipment, to obtain Live panoramic picture, and export the live panoramic picture;
Context resolution equipment is connect with the gravimetric analysis equipment, for receiving the live panoramic picture, to described existing Field panoramic picture executes following parsing movement: each gray value of each pixel in the live panoramic picture is obtained, it will be grey Angle value falls in the pixel in default dust gray areas as dust pixel, by each ash in the live panoramic picture Dirt pixel is fitted to obtain one or more dust areas;
Domain identification equipment is connect with the Context resolution equipment, for receiving one in the live panoramic picture Or multiple dust areas, the dust area using region area more than preset area threshold value export described existing as pending area One or more pending areas in the panoramic picture of field;
Area detecting equipment is connect with the domain identification equipment, for receiving one in the live panoramic picture Or multiple pending areas, determine the area of each pending area, and count one or more of pending areas Area summation determines that the area summation occupies the ratio of the live panoramic picture area, to send out when the ratio transfinites Dust accumulated signal out;
Automatic cleaning equipment connect with the area detecting equipment, is arranged in above the camera lens of the field camera, uses In when receiving the dust accumulated signal, using cleaning dynamics corresponding with the area summation to the field camera Camera lens carry out automated cleaning processing;
Recursive filtering equipment is connect with the field camera, for receiving the live panoramic picture, to the scene Panoramic picture executes adaptive recursive filtering processing, to obtain and export recursive filtering image;
Wiener filtering equipment is connect with the recursive filtering equipment, for receiving the recursive filtering image, and is based on institute The Wiener filtering processing that the noise amplitude size in recursive filtering image executes different dynamics is stated, to obtain corresponding Wiener filtering Image;
Intelligent piecemeal equipment is connect with the Wiener filtering equipment, for receiving the Wiener Filtering, determine described in The fog-level of Wiener Filtering, and the fog-level based on the Wiener Filtering carries out the Wiener Filtering Piecemeal processing, to obtain the identical multiple images piecemeal of size;
Parameter adjustment device is connect, for receiving described multiple images piecemeal, to each with the intelligent piecemeal equipment Image block executes following processing: obtaining the binarization threshold of described image piecemeal based on OTSU algorithm, is obtained based on OTSU algorithm The each binarization threshold for taking each image block of described image piecemeal neighborhood, based on each image for stating image block neighborhood Each binarization threshold of piecemeal is adjusted the binarization threshold of described image piecemeal to obtain the tune of described image piecemeal Threshold value after whole, and export threshold value after the adjustment of described image piecemeal;In the parameter adjustment device, it is based on described image piecemeal Each binarization threshold of each image block of neighborhood is adjusted to obtain the binarization threshold of described image piecemeal Threshold value includes: that described image piecemeal neighborhood image piecemeal and the matching degree of described image piecemeal are got over after stating the adjustment of image block Height, then described image piecemeal neighborhood image piecemeal is bigger to the influence degree of the binarization threshold of described image piecemeal;
Binaryzation execute equipment, connect with the parameter adjustment device, for receive described multiple images piecemeal and often Threshold value after the corresponding adjustment of one image block, based on threshold value after the corresponding adjustment of each image block to described image piecemeal Binary conversion treatment is carried out to obtain binaryzation piecemeal, and exports the corresponding each binaryzation piecemeal of each image block;
Piecemeal unit equipment executes equipment with the binaryzation and connect, for receiving each binaryzation piecemeal, by institute State each binaryzation piecemeal to merge, Fusion Edges carried out to the image after merging to obtain the image of fusion, and as point Block combines image output;
Partial variance identifies equipment, connect with the piecemeal unit equipment, for receiving the piecemeal combination image, to described Each subgraph of piecemeal combination image executes the partial variance detection of gray value respectively, corresponding to obtain each subgraph Each partial variance, wherein to the piecemeal combination image each subgraph execute respectively gray value partial variance detection include: For each subgraph, the gray value of each pixel of the subgraph is extracted, each pixel based on the subgraph The gray value of point calculates the partial variance of the subgraph;
Subgraph identification apparatus is connect, for receiving each folk prescription of each subgraph with partial variance identification equipment Difference calculates the mean value of each partial variance of each subgraph, is more than the subgraph of limitation by the distance of partial variance to the mean value As identified sub-images, and export each identified sub-images in the piecemeal combination image;
Subgraph processing equipment is connect with the subgraph identification apparatus, right for receiving each identified sub-images Each identified sub-images executes the image enhancement processing based on its signal-to-noise ratio, to obtain corresponding enhancing subgraph, wherein knows The signal-to-noise ratio of small pin for the case image is smaller, and the amplitude of the image enhancement processing executed to it is bigger, the subgraph processing equipment output Multiple enhancing subgraphs;
Subgraph replacement equipment connect with the subgraph identification apparatus and the subgraph processing equipment respectively, is used for The multiple enhancing subgraph is received, and combines the piecemeal in image and deletes each identified sub-images, and correspondingly fill into Each enhancing subgraph, to obtain corresponding enhancing replacement image;
The bodily form identifies equipment, connect with the subgraph replacement equipment, for receiving enhancing replacement image, to the enhancing The human body target of replacement image is identified, to obtain corresponding human body subgraph, and occupies institute based on the human body subgraph The area percentage for stating enhancing replacement image determines the body profile dimensions of the corresponding human body target of the human body subgraph using as working as Preceding body profile dimensions output;
Pipeline driving equipment identifies that equipment and the heating system radiating tube road are connect with the bodily form respectively, for being based on institute It states current body profile dimensions and determines corresponding water velocity, to drive the water flow in heating system radiating tube road to carry out the stream of corresponding speed It is dynamic.
Then, continue to carry out the specific structure of heating equipment hot channel flow velocity switching system of the invention further Explanation.
In the heating equipment hot channel flow velocity switching system: described to work as precursor in the pipeline driving equipment Shape size is bigger, and the corresponding water velocity determined is slower.
In the heating equipment hot channel flow velocity switching system: the pressure alarm equipment is also used to measuring When pressure is greater than preset pressure threshold value, pressure normal signal is issued.
In the heating equipment hot channel flow velocity switching system: in the area detecting equipment, being also used in institute When stating area summation and occupying the ratio of the live panoramic picture area and do not transfinite, dust normal signal is issued.
In the heating equipment hot channel flow velocity switching system: in the automatic cleaning equipment, using with it is described It includes: the area summation that the corresponding cleaning dynamics of area summation, which carries out automated cleaning processing to the camera lens of the field camera, Bigger, the cleaning dynamics for carrying out automated cleaning processing to the field camera is bigger.
In the heating equipment hot channel flow velocity switching system: in the automatic cleaning equipment, receiving When stating dust normal signal, terminate to handle the automated cleaning that the camera lens of the field camera carries out.
And in the heating equipment hot channel flow velocity switching system: in the intelligent piecemeal equipment, the dimension Receive filtering image fog-level it is smaller, the quantity of image block that piecemeal processing obtains is carried out to the Wiener Filtering and is got over It is more.
In addition, the bodily form identification equipment is realized by single-chip microcontroller.Single-chip microcontroller (Microcontrollers) is a kind of collection At circuit chip, be using very large scale integration technology with data-handling capacity central processor CPU, at random deposit Reservoir RAM, read only memory ROM, it is a variety of I/O mouthfuls and interrupt system, the functions such as timer/counter (may further include display The circuits such as driving circuit, pulse-width modulation circuit, analog multiplexer, A/D converter) it is integrated into one constituted on one piece of silicon wafer A small and perfect microcomputer system is widely applied in industrial control field.
Bus-type single-chip microcontroller is generally provided with parallel address bus, data/address bus, control bus, these pins are to extend Concurrent peripheral device can all be connect by serial port with single-chip microcontroller, in addition, many single-chip microcontrollers required peripheral components and Peripheral Interface integrates in a piece of, therefore in many cases can should not parallel-expansion bus, significantly economization packaging cost and core Piece volume, this kind of single-chip microcontroller are known as non-bus type single-chip microcontroller.
Using heating equipment hot channel flow velocity switching system of the invention, for the heating property of heating equipment in the prior art Technical problem that can not be high improves image by using twin-stage filter patterns and self-adaption binaryzation adjusting thresholds mode Pretreated effect;In the parsing of picture material, when the area in the region that dust occupies transfinites, using automatic cleaning equipment pair The camera lens of picture pick-up device carries out automated cleaning processing, wherein the area in the region that the dynamics and dust of cleaning treatment occupy is at just Than;The comparison of the partial variance of gray value based on each subgraph identifies a need for multiple subgraphs of image enhancement processing Picture, and enhanced multiple subgraphs are substituted into original image;So as to based on determining pair of attachment human bodily form's size The water velocity answered solves above-mentioned technical problem to drive the water flow in heating system radiating tube road to carry out the flowing of corresponding speed.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention, Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection It is interior.

Claims (7)

1. a kind of heating equipment hot channel flow velocity switching system, comprising:
Pressure alarm equipment is arranged on heating equipment, carries out pressure measurement for the heating system radiating tube road to heating equipment, with When the pressure measured is less than or equal to preset pressure threshold value, Pressure Alarm is issued;
Field camera is arranged on heating equipment, for carrying out pan-shot to environment where heating equipment, to obtain scene Panoramic picture, and export the live panoramic picture;
Context resolution equipment is connect with the gravimetric analysis equipment, complete to the scene for receiving the live panoramic picture Scape image executes following parsing movement: each gray value of each pixel in the live panoramic picture is obtained, by gray value The pixel in default dust gray areas is fallen in as dust pixel, by each dust picture in the live panoramic picture Vegetarian refreshments is fitted to obtain one or more dust areas;
Domain identification equipment is connect with the Context resolution equipment, for receiving one or more in the live panoramic picture It is complete to export the scene as pending area for a dust area, the dust area using region area more than preset area threshold value One or more pending areas in scape image;
Area detecting equipment is connect with the domain identification equipment, for receiving one or more in the live panoramic picture A pending area, determines the area of each pending area, and counts the area of one or more of pending areas Summation determines that the area summation occupies the ratio of the live panoramic picture area, to issue ash when the ratio transfinites Dirt accumulated signal;
Automatic cleaning equipment connect with the area detecting equipment, is arranged in above the camera lens of the field camera, is used for When receiving the dust accumulated signal, using cleaning dynamics corresponding with the area summation to the mirror of the field camera Head carries out automated cleaning processing;
Recursive filtering equipment is connect with the field camera, for receiving the live panoramic picture, to the live panorama Image executes adaptive recursive filtering processing, to obtain and export recursive filtering image;
Wiener filtering equipment is connect with the recursive filtering equipment, is passed for receiving the recursive filtering image, and based on described The noise amplitude size returned in filtering image executes the Wiener filtering processing of different dynamics, to obtain corresponding Wiener filtering figure Picture;
Intelligent piecemeal equipment is connect with the Wiener filtering equipment, for receiving the Wiener Filtering, determines the wiener The fog-level of filtering image, and the fog-level based on the Wiener Filtering carries out piecemeal to the Wiener Filtering Processing, to obtain the identical multiple images piecemeal of size;
Parameter adjustment device is connect, for receiving described multiple images piecemeal, to each image with the intelligent piecemeal equipment Piecemeal executes following processing: obtaining the binarization threshold of described image piecemeal based on OTSU algorithm, obtains institute based on OTSU algorithm The each binarization threshold for stating each image block of image block neighborhood, based on each image block for stating image block neighborhood Each binarization threshold the binarization threshold of described image piecemeal is adjusted to obtain the adjustment of described image piecemeal after Threshold value, and export threshold value after the adjustment of described image piecemeal;In the parameter adjustment device, it is based on described image piecemeal neighborhood Each binarization threshold of each image block the binarization threshold of described image piecemeal is adjusted to obtain the figure As piecemeal adjustment after threshold value include: that described image piecemeal neighborhood image piecemeal and the matching degree of described image piecemeal are higher, then Described image piecemeal neighborhood image piecemeal is bigger to the influence degree of the binarization threshold of described image piecemeal;
Binaryzation execute equipment, connect with the parameter adjustment device, for receive described multiple images piecemeal and each Threshold value after the corresponding adjustment of image block carries out described image piecemeal based on threshold value after the corresponding adjustment of each image block Binary conversion treatment exports the corresponding each binaryzation piecemeal of each image block to obtain binaryzation piecemeal;
Piecemeal unit equipment executes equipment with the binaryzation and connect, will be described each for receiving each binaryzation piecemeal A binaryzation piecemeal merges, and carries out Fusion Edges to the image after merging to obtain the image of fusion, and as piecemeal group Close image output;
Partial variance identifies equipment, connect with the piecemeal unit equipment, for receiving the piecemeal combination image, to the piecemeal Each subgraph of combination image executes the partial variance detection of gray value respectively, corresponding each to obtain each subgraph Partial variance, wherein to the piecemeal combination image each subgraph execute respectively gray value partial variance detection include: for Each subgraph extracts the gray value of each pixel of the subgraph, each pixel based on the subgraph Gray value calculates the partial variance of the subgraph;
Subgraph identification apparatus is connect with partial variance identification equipment, for receiving each partial variance of each subgraph, is counted The distance of partial variance to the mean value is more than the subgraph of limitation as knowledge by the mean value for calculating each partial variance of each subgraph Small pin for the case image, and export each identified sub-images in the piecemeal combination image;
Subgraph processing equipment is connect with the subgraph identification apparatus, for receiving each identified sub-images, to each A identified sub-images execute the image enhancement processing based on its signal-to-noise ratio, to obtain corresponding enhancing subgraph, wherein identification The signal-to-noise ratio of image is smaller, and the amplitude of the image enhancement processing executed to it is bigger, and the subgraph processing equipment output is multiple Enhance subgraph;
Subgraph replacement equipment is connect, for receiving respectively with the subgraph identification apparatus and the subgraph processing equipment The multiple enhancing subgraph, and combine the piecemeal in image and delete each identified sub-images, and correspondingly fill into each Enhance subgraph, to obtain corresponding enhancing replacement image;
The bodily form identifies equipment, connect with the subgraph replacement equipment, for receiving enhancing replacement image, replaces to the enhancing The human body target of image is identified, to obtain corresponding human body subgraph, and occupies the increasing based on the human body subgraph The area percentage of strong replacement image determines the body profile dimensions of the corresponding human body target of the human body subgraph using as working as precursor The output of shape size;
Pipeline driving equipment identifies that equipment and the heating system radiating tube road are connect with the bodily form respectively, for being worked as based on described Preceding body profile dimensions determine corresponding water velocity, to drive the water flow in heating system radiating tube road to carry out the flowing of corresponding speed.
2. heating equipment hot channel flow velocity switching system as described in claim 1, it is characterised in that:
In the pipeline driving equipment, the current body profile dimensions are bigger, and the corresponding water velocity determined is slower.
3. heating equipment hot channel flow velocity switching system as claimed in claim 2, it is characterised in that:
The pressure alarm equipment is also used to issue pressure normal signal when the pressure measured is greater than preset pressure threshold value.
4. heating equipment hot channel flow velocity switching system as claimed in claim 3, it is characterised in that:
In the area detecting equipment, it is also used to occupy the ratio of the live panoramic picture area not in the area summation When transfiniting, dust normal signal is issued.
5. heating equipment hot channel flow velocity switching system as claimed in claim 4, it is characterised in that:
In the automatic cleaning equipment, using cleaning dynamics corresponding with the area summation to the mirror of the field camera It includes: that the area summation is bigger that head, which carries out automated cleaning processing, carries out the clear of automated cleaning processing to the field camera Clean dynamics is bigger.
6. heating equipment hot channel flow velocity switching system as claimed in claim 5, it is characterised in that:
In the automatic cleaning equipment, when receiving the dust normal signal, terminate the mirror to the field camera The automated cleaning processing that head carries out.
7. heating equipment hot channel flow velocity switching system as claimed in claim 6, it is characterised in that:
In the intelligent piecemeal equipment, the fog-level of the Wiener Filtering is smaller, to the Wiener Filtering into The quantity for the image block that the processing of row piecemeal obtains is more.
CN201810820832.6A 2018-07-24 2018-07-24 Heating equipment hot channel flow velocity switching system Withdrawn CN109724152A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110691216A (en) * 2019-06-22 2020-01-14 王刚 Running state on-site monitoring mechanism

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030118236A1 (en) * 2001-12-26 2003-06-26 Nina Kung Grayscale image connected components segmentation
CN1606758A (en) * 2000-08-31 2005-04-13 雷泰克公司 Sensor and imaging system
CN101941012A (en) * 2009-07-03 2011-01-12 泰怡凯电器(苏州)有限公司 Cleaning robot, dirt identification device thereof and cleaning method of robot
CN102269444A (en) * 2011-05-27 2011-12-07 哈尔滨工业大学 Energy control system and method of heat supply and cold water supply circulation
CN102660815A (en) * 2012-03-30 2012-09-12 浙江理工大学 Cotton foreign fiber automatic removing method and system based on image acquisition and DSP (digital signal processing) algorithm
CN103733234A (en) * 2011-02-21 2014-04-16 斯特拉特克系统有限公司 A surveillance system and a method for detecting a foreign object, debris, or damage in an airfield
CN204406139U (en) * 2015-02-06 2015-06-17 刘恒宇 Community Central heating monitoring system
CN204513571U (en) * 2015-03-24 2015-07-29 宁夏百新热力有限公司 Distributed VFC mixes water heating plant
CN106204589A (en) * 2016-07-11 2016-12-07 陕西科技大学 A kind of fruit type quality stage division based on Digital Image Processing

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1606758A (en) * 2000-08-31 2005-04-13 雷泰克公司 Sensor and imaging system
US20030118236A1 (en) * 2001-12-26 2003-06-26 Nina Kung Grayscale image connected components segmentation
CN101941012A (en) * 2009-07-03 2011-01-12 泰怡凯电器(苏州)有限公司 Cleaning robot, dirt identification device thereof and cleaning method of robot
CN103733234A (en) * 2011-02-21 2014-04-16 斯特拉特克系统有限公司 A surveillance system and a method for detecting a foreign object, debris, or damage in an airfield
CN102269444A (en) * 2011-05-27 2011-12-07 哈尔滨工业大学 Energy control system and method of heat supply and cold water supply circulation
CN102660815A (en) * 2012-03-30 2012-09-12 浙江理工大学 Cotton foreign fiber automatic removing method and system based on image acquisition and DSP (digital signal processing) algorithm
CN204406139U (en) * 2015-02-06 2015-06-17 刘恒宇 Community Central heating monitoring system
CN204513571U (en) * 2015-03-24 2015-07-29 宁夏百新热力有限公司 Distributed VFC mixes water heating plant
CN106204589A (en) * 2016-07-11 2016-12-07 陕西科技大学 A kind of fruit type quality stage division based on Digital Image Processing

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110691216A (en) * 2019-06-22 2020-01-14 王刚 Running state on-site monitoring mechanism

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