CN115823645B - Electric heater safety control system and method based on nearest human body identification - Google Patents
Electric heater safety control system and method based on nearest human body identification Download PDFInfo
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Abstract
The invention relates to an electric heater safety control system based on nearest human body identification, which comprises: the graphene electric heater is formed by covering a heating component with a graphene coating; the information storage mechanism is used for storing the distance upper limit threshold value and the distance lower limit threshold value; and the power fine adjustment mechanism is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covered with the graphene coating, when the nearest human body distance is smaller than or equal to the distance upper limit threshold value. The invention also relates to a safety control method of the electric heater based on the nearest human body identification. According to the invention, the corresponding safe heating strategy can be adaptively selected according to the specific distance range where the distance from the nearest human body target to the graphene electric heater falls, and when the distance falls between the closer safe distance and the farther safe distance, the heating power of the graphene electric heater is adaptively adjusted according to the distance, so that a uniform, stable and safe heating effect is realized.
Description
Technical Field
The invention relates to the field of image data processing, in particular to an electric heater safety control system and method based on nearest human body identification.
Background
The graphene electric heater is a warmer taking graphene as a heating material, and mainly comprises skirting lines, european-style quick heating furnaces and warm air heaters. The Graphene has excellent heat conduction and electric conduction performance and extremely high heating efficiency, and meets the requirements of a user on warming and saving money.
However, the graphene warmer product on the market at present is limited by technology and cost, and basically only uses the thermal conductivity of the graphene coating, and the main heating material is still a metal heating plate, so that the heating effect is reduced compared with the pure graphene material for the whole heating capacity, but the heating performance is greatly improved compared with the traditional electric heater.
For example, chinese patent publication CN110748943 a proposes a graphene electrothermal module and a system, where the graphene electrothermal module includes a heat-conducting plate, a graphene electrothermal film and a sealing element, the heat-conducting plate is provided with a liquid outlet and a liquid inlet, the graphene electrothermal film is disposed on the heat-conducting plate, and the sealing element seals the periphery of the liquid outlet and the periphery of the liquid inlet. The invention also provides a heating system which is formed by stacking and compacting the graphene electrothermal modules. The heating system designed by the invention is freely stacked through the graphene electric heating modules, so that the production and the manufacture of products with different powers are realized; in addition, the heating system can be in seamless connection with other heating sheets/radiating sheets and a floor heating system, thereby being more beneficial to the replacement and upgrading of the existing heating mode of the coal-fired boiler and reducing the amount of reconstruction engineering and reconstruction cost.
The utility model discloses a graphene electric heater, which is provided by Chinese patent publication CN 216591909U and comprises a shell, a graphene carbon crystal heating plate, a supporting member and a temperature control device, wherein the supporting member comprises a base and a supporting frame, the shell is arranged on the supporting frame, the graphene carbon crystal heating plate is arranged on the base, the temperature control device comprises a temperature detector, a convection fan, an external infection monitor and a controller, the temperature detector is arranged on the supporting frames on the two sides of the graphene carbon crystal heating plate, the convection fan is arranged on the inner side of the supporting frame, the controller receives signals of the temperature detector and the external infection monitor and is connected with a cloud server and a client.
However, the only safety control mechanism in the prior art only relates to various temperature control modes, namely, the automatic adjustment of the heating amplitude of the electric heater is carried out according to the environmental temperature, the safety guarantee of the heating human body is not considered, namely, the intelligent safety control mechanism is lacking, the heating effect and the safe and reliable dynamic balance cannot be realized, the invisible distance between the electric heater and the nearest human body target which most needs to obtain a heat source cannot be provided, and the smoother and uniform heating effect and the heating feeling can be provided.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides an electric heater safety control system and method based on nearest human body identification, which can set a plurality of safety distances for a graphene electric heater to obtain a plurality of distance ranges, adaptively select a corresponding safety heating strategy according to a specific distance range where the distance from a nearest human body target to the graphene electric heater falls, and particularly, when the distance from the nearest human body target to the graphene electric heater falls between a nearer safety distance and a farther safety distance, adaptively adjust heating power of the graphene electric heater according to the distance from the nearest human body target to the graphene electric heater, thereby providing a uniform and safe heating effect for the nearest human body target which needs to obtain a heat source most.
According to a first aspect of the present invention, there is provided an electric heater safety control system based on recent human body discrimination, the system comprising:
the graphene electric heater is formed by covering a heating component with a graphene coating and is used for performing heating operation on a scene;
the information storage mechanism is used for pre-storing a distance upper limit threshold value and a distance lower limit threshold value, and the distance upper limit threshold value is larger than the distance lower limit threshold value;
The power fine adjustment mechanism is respectively connected with the information storage mechanism and the heating assembly, and is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating assembly for covering the graphene coating, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value or smaller than or equal to the distance lower limit threshold value, and suspending fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating assembly for covering the graphene coating, when the received nearest human body distance is larger than or equal to the distance upper limit threshold value;
the content conversion mechanism is connected with the power fine adjustment mechanism and is used for determining the corresponding nearest human body distance based on the received integral depth of field value of the imaging area of the nearest human body target, and sending the determined nearest human body distance to the power fine adjustment mechanism, wherein the corresponding nearest human body distance is associated with the integral depth of field value forward direction numerical value;
the synchronous camera shooting device is connected with the heating assembly and is positioned at the middle position of the top of the support frame body of the graphene electric heater, and comprises a state detection assembly, a synchronous control assembly, a camera shooting execution assembly and a parallel data bus, wherein the state detection assembly is connected with the heating assembly and is used for sending a heating detection signal when detecting that the heating assembly is in a heating state currently, the synchronous control assembly is respectively connected with the state detection assembly and the camera shooting execution assembly and is used for starting the camera shooting execution assembly to shoot a scene where the graphene electric heater is positioned when receiving the heating detection signal so as to obtain a real-time video frame corresponding to a current time stamp, and the parallel data bus is respectively connected with the state detection assembly, the synchronous control assembly and the camera shooting execution assembly and is used for establishing a parallel data link between two devices in the state detection assembly, the synchronous control assembly and the camera shooting execution assembly;
The intelligent analysis device is respectively connected with the content conversion mechanism and the synchronous camera device and is used for identifying each imaging area corresponding to each human body target in the received real-time video frame, comparing each integral depth value corresponding to each imaging area and sending the integral depth value with the smallest value to the content conversion mechanism as the integral depth value of the imaging area of the nearest human body target;
the power fine adjustment mechanism is further used for stopping heating treatment of the heating component when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the distance between the nearest human body and the upper limit threshold value of the distance is smaller as the distance between the nearest human body and the upper limit threshold value of the distance is farther.
According to a second aspect of the present invention, there is provided an electric heater safety control method based on recent human body discrimination, the method comprising:
the method comprises the steps of using a graphene electric heater, covering a heating assembly with a graphene coating, and performing heating operation on a scene;
an information storage mechanism is used for pre-storing a distance upper limit threshold value and a distance lower limit threshold value, wherein the distance upper limit threshold value is larger than the distance lower limit threshold value;
The power fine adjustment mechanism is respectively connected with the information storage mechanism and the heating component and is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating component for covering the graphene coating, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value and is also used for suspending fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating component for covering the graphene coating, when the received nearest human body distance is larger than or equal to the distance lower limit threshold value;
the content conversion mechanism is connected with the power fine adjustment mechanism and is used for determining the corresponding nearest human body distance based on the received integral depth of field value of the imaging area of the nearest human body target, and sending the determined nearest human body distance to the power fine adjustment mechanism, wherein the corresponding nearest human body distance is associated with the integral depth of field value positive value;
the method comprises the steps that a synchronous camera shooting device is used, the synchronous camera shooting device is connected with a heating assembly and is positioned in the middle of the top of a supporting frame body of the graphene electric heater, the synchronous camera shooting device comprises a state detection assembly, a synchronous control assembly, a camera shooting execution assembly and a parallel data bus, the state detection assembly is connected with the heating assembly and is used for sending a heating detection signal when detecting that the heating assembly is in a heating state currently, the synchronous control assembly is respectively connected with the state detection assembly and the camera shooting execution assembly and is used for starting camera shooting action of the camera shooting execution assembly on a scene where the graphene electric heater is located when receiving the heating detection signal so as to obtain a real-time record frame corresponding to a current timestamp, and the parallel data bus is respectively connected with the state detection assembly, the synchronous control assembly and the camera shooting execution assembly and is used for establishing a parallel data link between two devices in the state detection assembly, the synchronous control assembly and the camera shooting execution assembly;
The intelligent analysis device is respectively connected with the content conversion mechanism and the synchronous camera device and is used for identifying each imaging area corresponding to each human body target in the received real-time video frame, comparing each integral depth value corresponding to each imaging area and sending the integral depth value with the smallest value to the content conversion mechanism as the integral depth value of the imaging area of the nearest human body target;
the power fine adjustment mechanism is further used for stopping heating treatment of the heating component when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the distance between the nearest human body and the upper limit threshold value of the distance is smaller as the distance between the nearest human body and the upper limit threshold value of the distance is farther.
It can be seen that the present invention has at least the following important points:
firstly, setting an intelligent safety control mechanism for a graphene electric heater, setting a plurality of safety distances, and interrupting heating operation of the graphene electric heater when a first safety distance from a nearest human body target to the graphene electric heater is detected, wherein the first safety distance is smaller than a numerical value, more importantly, when a second safety distance from the nearest human body target to the graphene electric heater is detected, the first safety distance is larger than the numerical value, and the second safety distance is larger than the numerical value, a numerical value mapping relation between the nearest human body distance and the output power of the graphene electric heater after fine adjustment is expressed by a numerical function, and the numerical value of the output power after fine adjustment is smaller when the nearest human body distance is farther from the second safety distance, so that heating accidents are avoided while heating operation of proper heat is provided for the nearest human body target;
Secondly, detecting the nearest human body target in the heating scene by adopting an intelligent detection mode, wherein the imaging areas corresponding to the human body targets in the heating scene picture are identified by combining the human body gray imaging characteristics and the human body contour imaging characteristics, and the imaging area with the minimum overall depth of field value is taken as the imaging area of the nearest human body target;
and determining the corresponding nearest human body distance based on the integral depth value of the imaging area of the nearest human body target, correlating the corresponding nearest human body distance with the integral depth value positive value, and sending the determined nearest human body distance to the power fine adjustment mechanism to execute subsequent intelligent fine adjustment operation, thereby providing key information for intelligent safety control of the graphene electric heater.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings, in which:
fig. 1 is a technical flowchart of an electric heater safety control system and method based on nearest human body identification according to the present invention.
Fig. 2 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a first embodiment of the present invention.
Fig. 3 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a second embodiment of the present invention.
Fig. 4 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a third embodiment of the present invention.
Fig. 5 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a fourth embodiment of the present invention.
Fig. 6 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a fifth embodiment of the present invention.
Fig. 7 is a flowchart showing steps of an electric heater safety control method based on the nearest human body recognition according to a sixth embodiment of the present invention.
Detailed Description
As shown in fig. 1, a technical flowchart of an electric heater safety control system and method based on nearest human body recognition according to the present invention is provided.
As shown in fig. 1, the specific technical process of the present invention is as follows:
the method comprises the steps that firstly, a plurality of safety distances, namely a first shorter safety distance and a second longer safety distance, are introduced into a graphene electric heater, and distance parameter data are provided for an intelligent safety control mechanism of the graphene electric heater;
secondly, acquiring imaging areas of nearest human targets with most prominent heating requirements in a graphene electric heater heating scene by adopting a targeted visual detection mechanism, wherein the imaging areas corresponding to the human targets in a heating scene picture are identified by combining human gray imaging features and human contour imaging features, and the imaging area with the smallest overall depth of field value is used as the imaging area of the nearest human targets;
Thirdly, an intelligent safety control mechanism for dividing the distance is formulated for the nearest human body target, when the nearest human body target is located between a first safety distance and a second safety distance, a numerical function is adopted to express the numerical mapping relation between the nearest human body distance and the output power of the graphene electric heater after fine adjustment, wherein the numerical value of the output power after fine adjustment is smaller when the nearest human body distance is far away from the second safety distance, so that a uniform and safe intelligent heating strategy is provided for the nearest human body target, and when the nearest human body distance is smaller than the first safety distance, the graphene electric heater is powered off in an emergency mode to further guarantee safe use of the graphene electric heater;
when detecting an imaging area of a nearest human body target, acquiring each human body pixel point through human body gray imaging characteristics, fitting the rest human body pixel points after removing the isolated human body pixel points to obtain a plurality of image areas, and confirming each image area matched with the standard human body contour shape in the plurality of image areas as the imaging area of the human body target so as to provide basic information for analysis of the nearest human body target;
as shown in fig. 1, the distance range from the nearest human target to the graphene electric heater is divided into three distance areas, namely an area 1, an area 2 and an area 3, by a first closer safety distance and a second farther safety distance, wherein the directions of two A in fig. 1 represent the horizontal section direction of the graphene electric heater;
In fig. 1, in an area 1, the graphene electric heater is powered off in an emergency to ensure the safety of human bodies, in an area 2, a numerical function expressing the numerical mapping relation between the distance between the nearest human body and the output power of the graphene electric heater after fine adjustment is adopted to perform the fine adjustment operation of the graphene electric heater, in an area 3, the fine adjustment operation is not performed, and various conventional control operations of the graphene electric heater are maintained.
The key points of the invention are as follows: the intelligent safety control mechanism for the distance of the nearest human body target combines a layer-by-layer identification mechanism of an imaging area of the human body target of the human body gray level imaging characteristic and the human body contour imaging characteristic and a discrimination mechanism of the nearest human body target based on the whole depth of field value.
Next, the electric heater safety control system and method based on the recent human body recognition of the present invention will be specifically described in terms of embodiments.
First embodiment
Fig. 2 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a first embodiment of the present invention.
As shown in fig. 2, the electric heater safety control system based on the recent human body recognition comprises the following components:
the graphene electric heater is formed by covering a heating component with a graphene coating and is used for performing heating operation on a scene;
The information storage mechanism is used for pre-storing a distance upper limit threshold value and a distance lower limit threshold value, and the distance upper limit threshold value is larger than the distance lower limit threshold value;
for example, the information storage mechanism may be implemented using a static memory chip, a dynamic memory chip, or a FLASH memory;
the power fine adjustment mechanism is respectively connected with the information storage mechanism and the heating assembly, and is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating assembly for covering the graphene coating, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value or smaller than or equal to the distance lower limit threshold value, and suspending fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating assembly for covering the graphene coating, when the received nearest human body distance is larger than or equal to the distance upper limit threshold value;
illustratively, the distance lower threshold may be 25 cm and the distance upper threshold may be 200 cm;
at this time, when the received nearest human body distance is equal to or less than the distance upper limit threshold, starting a fine tuning action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, and further used for suspending the fine tuning action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, when the received nearest human body distance is equal to or less than the distance upper limit threshold, or less than the distance lower limit threshold, including: when the received nearest human body distance is less than or equal to 200 cm, starting a fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, and further, when the received nearest human body distance is more than 200 cm or less than or equal to 25 cm, suspending the fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating;
The content conversion mechanism is connected with the power fine adjustment mechanism and is used for determining the corresponding nearest human body distance based on the received integral depth of field value of the imaging area of the nearest human body target, and sending the determined nearest human body distance to the power fine adjustment mechanism, wherein the corresponding nearest human body distance is associated with the integral depth of field value forward direction numerical value;
the method for determining the nearest human body distance comprises the steps of: transmitting the determined nearest human body distance to the power fine adjustment mechanism, wherein the smaller the value of the overall depth of field value of the received imaging region of the nearest human body target is, the smaller the value of the corresponding nearest human body distance is;
the synchronous camera shooting device is connected with the heating assembly and is positioned at the middle position of the top of the support frame body of the graphene electric heater, and comprises a state detection assembly, a synchronous control assembly, a camera shooting execution assembly and a parallel data bus, wherein the state detection assembly is connected with the heating assembly and is used for sending a heating detection signal when detecting that the heating assembly is in a heating state currently, the synchronous control assembly is respectively connected with the state detection assembly and the camera shooting execution assembly and is used for starting the camera shooting execution assembly to shoot a scene where the graphene electric heater is positioned when receiving the heating detection signal so as to obtain a real-time video frame corresponding to a current time stamp, and the parallel data bus is respectively connected with the state detection assembly, the synchronous control assembly and the camera shooting execution assembly and is used for establishing a parallel data link between two devices in the state detection assembly, the synchronous control assembly and the camera shooting execution assembly;
The intelligent analysis device is respectively connected with the content conversion mechanism and the synchronous camera device and is used for identifying each imaging area corresponding to each human body target in the received real-time video frame, comparing each integral depth value corresponding to each imaging area and sending the integral depth value with the smallest value to the content conversion mechanism as the integral depth value of the imaging area of the nearest human body target;
the power fine adjustment mechanism is further used for stopping heating treatment of the heating component when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the distance between the nearest human body and the upper limit threshold value of the distance is smaller as the distance between the nearest human body and the upper limit threshold value of the distance is farther;
for example, the distance lower threshold value is 25 cm, when the distance between the nearest human target and the graphene electric heater is 30 cm, the finely tuned output power is 500W, when the distance between the nearest human target and the graphene electric heater is 50 cm, the finely tuned output power is 700W, when the distance between the nearest human target and the graphene electric heater is 100 cm, the finely tuned output power is 1100W, and when the distance between the nearest human target and the graphene electric heater is 150 cm, the finely tuned output power is 1500W, and so on;
The identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth value corresponding to each imaging region, so as to send the overall depth value with the smallest value as the overall depth value of the imaging region of the nearest human body target to the content conversion mechanism comprises: for an imaging area corresponding to each human body target, taking the average value of a plurality of residual depth values after removing the maximum value of a set proportion from each depth value corresponding to each pixel point forming the imaging area as the integral depth value corresponding to the imaging area;
the method for removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region, taking the average value of a plurality of residual depth of field values after removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region as the whole depth of field value corresponding to the imaging region comprises the following steps: the set proportion is smaller than a preset proportion threshold value, and the maximum value of the set proportion comprises a plurality of maximum values and a plurality of minimum values which are equal in number;
for example, the preset proportion threshold is one tenth, the preset proportion takes one twentieth, and the proportion of the maximum values occupying each pixel point is one forty, and likewise, the proportion of the minimum values occupying each pixel point is one forty.
Second embodiment
Fig. 3 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a second embodiment of the present invention.
As shown in fig. 3, unlike the embodiment in fig. 2, the electric heater safety control system based on the recent human body recognition further includes the following components:
the safety alarm device is respectively connected with the information storage mechanism and the heating component and is used for executing safety alarm operation corresponding to the too close human body distance when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the safety alarm device is an optical alarm mechanism or an acoustic alarm mechanism, when the safety alarm device is an optical alarm mechanism, a flash alarm action with preset frequency is adopted to execute a safety alarm operation corresponding to the too-close distance between the human body, and when the safety alarm device is an acoustic alarm mechanism, a corresponding voice alarm file is played to execute a safety alarm operation corresponding to the too-close distance between the human body.
Third embodiment
Fig. 4 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a third embodiment of the present invention.
As shown in fig. 4, unlike the embodiment in fig. 2, the electric heater safety control system based on the recent human body recognition further includes the following components:
the resolution setting device is arranged on the support frame body of the graphene electric heater and connected with the synchronous camera device, and is used for setting the real-time resolution of the real-time video frames output by the synchronous camera device on site;
illustratively, the resolution that the resolution setting device may set includes standard definition resolution, super definition resolution, low definition resolution, and ultra high definition resolution.
Fourth embodiment
Fig. 5 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a fourth embodiment of the present invention.
As shown in fig. 5, unlike the embodiment in fig. 2, the electric heater safety control system based on the recent human body recognition further includes the following components:
the contrast enhancement device is arranged between the intelligent analysis device and the synchronous camera device and is used for performing contrast enhancement processing on the received real-time video frames to acquire signal enhancement pictures;
the contrast improving device sends the signal improving picture to the content converting mechanism to replace the real-time video frame;
For example, after replacement, each imaging region corresponding to each human body target in the received real-time video frame is identified, and each overall depth value corresponding to each imaging region is compared, so that the overall depth value with the smallest value is used as the overall depth value of the imaging region of the nearest human body target and sent to the content conversion mechanism.
Fifth embodiment
Fig. 6 is an internal structural view of an electric heater safety control system based on the recent human body recognition according to a fifth embodiment of the present invention.
As shown in fig. 6, unlike the embodiment of fig. 2, the electric heater safety control system based on the recent human body recognition further includes the following components:
a noise elimination device, which is arranged between the intelligent analysis device and the synchronous camera device, and is used for executing salt and pepper noise elimination processing on the received real-time video frames so as to acquire quality improvement processing pictures;
The noise elimination device replaces the real-time video frame with the quality improvement processing picture and sends the quality improvement processing picture to the content conversion mechanism;
for example, after replacement, each imaging region corresponding to each human body target in the received real-time image frame is identified, and each overall depth value corresponding to each imaging region is compared, so that the overall depth value with the smallest value is used as the overall depth value of the imaging region of the nearest human body target and sent to the content conversion mechanism, and the content conversion mechanism is converted into the image region corresponding to each human body target in the received quality improvement processing picture, and each overall depth value corresponding to each imaging region is compared, so that the overall depth value with the smallest value is used as the overall depth value of the imaging region of the nearest human body target and sent to the content conversion mechanism.
In the electric heater safety control system based on the recent human body discrimination shown according to any one of the embodiments of the present invention:
identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth of field value corresponding to each imaging region, so as to send the overall depth of field value with the smallest value as the overall depth of field value of the imaging region of the nearest human body target to the content conversion mechanism further comprises: identifying each imaging area corresponding to each human target in the received real-time video frame based on the human imaging characteristics;
Illustratively, the human imaging feature is a numerical distribution range of gray values of human pixels, and the numerical distribution range of gray values of human pixels is defined by a gray upper limit threshold and a gray lower limit threshold;
wherein, the identifying each imaging area that each human target in the received real-time video frame corresponds to based on human imaging characteristics includes: identifying each imaging region corresponding to each human target in the received real-time video frame based on the human gray imaging features and the human contour imaging features;
wherein, each imaging region that each human target in the real-time video frame that discerns received based on human gray scale imaging feature and human contour imaging feature corresponds respectively includes: taking a pixel point of which the gray value is within the human gray value range in the real-time image frame as a human pixel point, and taking a pixel point of which the gray value is outside the human gray value range in the real-time image frame as a non-human pixel point;
wherein, based on human gray imaging characteristics and human contour imaging characteristics, identifying each imaging region corresponding to each human target in the received real-time image frame further comprises: fitting processing is carried out on each human body pixel point in the real-time video frame after isolated human body pixel points are removed, so that a plurality of target recognition areas are obtained;
And wherein identifying each imaging region in the received real-time image frame to which each human target corresponds based on the human gray scale imaging features and the human contour imaging features further comprises: and taking the target recognition area with the edge shape matched with the standard human body contour as an imaging area corresponding to the human body target so as to obtain a plurality of target recognition areas in the real-time video frame.
Sixth embodiment
Fig. 7 is a flowchart showing steps of an electric heater safety control method based on the nearest human body recognition according to a sixth embodiment of the present invention.
As shown in fig. 7, the electric heater safety control method based on the nearest human body identification comprises the following steps:
the method comprises the steps of using a graphene electric heater, covering a heating assembly with a graphene coating, and performing heating operation on a scene;
an information storage mechanism is used for pre-storing a distance upper limit threshold value and a distance lower limit threshold value, wherein the distance upper limit threshold value is larger than the distance lower limit threshold value;
for example, the information storage mechanism may be implemented using a static memory chip, a dynamic memory chip, or a FLASH memory;
the power fine adjustment mechanism is respectively connected with the information storage mechanism and the heating component and is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating component for covering the graphene coating, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value and is also used for suspending fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating component for covering the graphene coating, when the received nearest human body distance is larger than or equal to the distance lower limit threshold value;
Illustratively, the distance lower threshold may be 25 cm and the distance upper threshold may be 200 cm;
at this time, when the received nearest human body distance is equal to or less than the distance upper limit threshold, starting a fine tuning action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, and further used for suspending the fine tuning action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, when the received nearest human body distance is equal to or less than the distance upper limit threshold, or less than the distance lower limit threshold, including: when the received nearest human body distance is less than or equal to 200 cm, starting a fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, and further, when the received nearest human body distance is more than 200 cm or less than or equal to 25 cm, suspending the fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating;
the content conversion mechanism is connected with the power fine adjustment mechanism and is used for determining the corresponding nearest human body distance based on the received integral depth of field value of the imaging area of the nearest human body target, and sending the determined nearest human body distance to the power fine adjustment mechanism, wherein the corresponding nearest human body distance is associated with the integral depth of field value positive value;
The method for determining the nearest human body distance comprises the steps of: transmitting the determined nearest human body distance to the power fine adjustment mechanism, wherein the smaller the value of the overall depth of field value of the received imaging region of the nearest human body target is, the smaller the value of the corresponding nearest human body distance is;
the method comprises the steps that a synchronous camera shooting device is used, the synchronous camera shooting device is connected with a heating assembly and is positioned in the middle of the top of a supporting frame body of the graphene electric heater, the synchronous camera shooting device comprises a state detection assembly, a synchronous control assembly, a camera shooting execution assembly and a parallel data bus, the state detection assembly is connected with the heating assembly and is used for sending a heating detection signal when detecting that the heating assembly is in a heating state currently, the synchronous control assembly is respectively connected with the state detection assembly and the camera shooting execution assembly and is used for starting camera shooting action of the camera shooting execution assembly on a scene where the graphene electric heater is located when receiving the heating detection signal so as to obtain a real-time record frame corresponding to a current timestamp, and the parallel data bus is respectively connected with the state detection assembly, the synchronous control assembly and the camera shooting execution assembly and is used for establishing a parallel data link between two devices in the state detection assembly, the synchronous control assembly and the camera shooting execution assembly;
The intelligent analysis device is respectively connected with the content conversion mechanism and the synchronous camera device and is used for identifying each imaging area corresponding to each human body target in the received real-time video frame, comparing each integral depth value corresponding to each imaging area and sending the integral depth value with the smallest value to the content conversion mechanism as the integral depth value of the imaging area of the nearest human body target;
the power fine adjustment mechanism is further used for stopping heating treatment of the heating component when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the distance between the nearest human body and the upper limit threshold value of the distance is smaller as the distance between the nearest human body and the upper limit threshold value of the distance is farther;
for example, the distance lower threshold value is 25 cm, when the distance between the nearest human target and the graphene electric heater is 30 cm, the finely tuned output power is 500W, when the distance between the nearest human target and the graphene electric heater is 50 cm, the finely tuned output power is 700W, when the distance between the nearest human target and the graphene electric heater is 100 cm, the finely tuned output power is 1100W, and when the distance between the nearest human target and the graphene electric heater is 150 cm, the finely tuned output power is 1500W, and so on;
The identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth value corresponding to each imaging region, so as to send the overall depth value with the smallest value as the overall depth value of the imaging region of the nearest human body target to the content conversion mechanism comprises: for an imaging area corresponding to each human body target, taking the average value of a plurality of residual depth values after removing the maximum value of a set proportion from each depth value corresponding to each pixel point forming the imaging area as the integral depth value corresponding to the imaging area;
the method for removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region, taking the average value of a plurality of residual depth of field values after removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region as the whole depth of field value corresponding to the imaging region comprises the following steps: the set proportion is smaller than a preset proportion threshold value, and the maximum value of the set proportion comprises a plurality of maximum values and a plurality of minimum values which are equal in number;
for example, the preset proportion threshold is one tenth, the preset proportion takes one twentieth, and the proportion of the maximum values occupying each pixel point is one forty, and likewise, the proportion of the minimum values occupying each pixel point is one forty.
In addition, the present invention may also cite the following technical matters to highlight the significant technical progress of the present invention:
in the invention, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value, the starting of the fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covered with the graphene coating, comprises the following steps: expressing the numerical mapping relation between the nearest human body distance and the finely tuned output power by adopting a numerical function;
in the invention, the numerical mapping relation between the nearest human body distance and the output power after fine adjustment is expressed by adopting a numerical function, which comprises the following steps: taking the nearest human body distance and the distance upper limit threshold value as two input data of the numerical function, and taking the finely-adjusted output power as single output data of the numerical function;
in the invention, the numerical mapping relation between the nearest human body distance and the fine-tuned output power is expressed by adopting a numerical function, and the method further comprises the following steps: and realizing the numerical function by adopting a MATLAB simulation toolbox and verifying the numerical function.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of this embodiment.
From the above description of embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus a general purpose hardware platform, or may be implemented by hardware. Based on such understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the related art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform the embodiments or the methods described in some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present application, and are not limited thereto; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims (6)
1. An electric heater safety control system based on recent human body discrimination, the system comprising:
the graphene electric heater is formed by covering a heating component with a graphene coating and is used for performing heating operation on a scene;
the information storage mechanism is used for pre-storing a distance upper limit threshold value and a distance lower limit threshold value, and the distance upper limit threshold value is larger than the distance lower limit threshold value;
the power fine adjustment mechanism is respectively connected with the information storage mechanism and the heating assembly, and is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating assembly for covering the graphene coating, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value or smaller than or equal to the distance lower limit threshold value, and suspending fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating assembly for covering the graphene coating, when the received nearest human body distance is larger than or equal to the distance upper limit threshold value;
the content conversion mechanism is connected with the power fine adjustment mechanism and is used for determining the corresponding nearest human body distance based on the received integral depth of field value of the imaging area of the nearest human body target, and sending the determined nearest human body distance to the power fine adjustment mechanism, wherein the corresponding nearest human body distance is associated with the integral depth of field value forward direction numerical value;
The synchronous camera shooting device is connected with the heating assembly and is positioned at the middle position of the top of the support frame body of the graphene electric heater, and comprises a state detection assembly, a synchronous control assembly, a camera shooting execution assembly and a parallel data bus, wherein the state detection assembly is connected with the heating assembly and is used for sending a heating detection signal when detecting that the heating assembly is in a heating state currently, the synchronous control assembly is respectively connected with the state detection assembly and the camera shooting execution assembly and is used for starting the camera shooting execution assembly to shoot a scene where the graphene electric heater is positioned when receiving the heating detection signal so as to obtain a real-time video frame corresponding to a current time stamp, and the parallel data bus is respectively connected with the state detection assembly, the synchronous control assembly and the camera shooting execution assembly and is used for establishing a parallel data link between two devices in the state detection assembly, the synchronous control assembly and the camera shooting execution assembly;
the intelligent analysis device is respectively connected with the content conversion mechanism and the synchronous camera device and is used for identifying each imaging area corresponding to each human body target in the received real-time video frame, comparing each integral depth value corresponding to each imaging area and sending the integral depth value with the smallest value to the content conversion mechanism as the integral depth value of the imaging area of the nearest human body target;
The power fine adjustment mechanism is further used for stopping heating treatment of the heating component when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the distance between the nearest human body and the upper limit threshold value of the distance is smaller as the distance between the nearest human body and the upper limit threshold value of the distance is farther;
the identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth value corresponding to each imaging region, so as to send the overall depth value with the smallest value as the overall depth value of the imaging region of the nearest human body target to the content conversion mechanism comprises: for an imaging area corresponding to each human body target, taking the average value of a plurality of residual depth values after removing the maximum value of a set proportion from each depth value corresponding to each pixel point forming the imaging area as the integral depth value corresponding to the imaging area;
the method for removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region, taking the average value of a plurality of residual depth of field values after removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region as the whole depth of field value corresponding to the imaging region comprises the following steps: the set proportion is smaller than a preset proportion threshold value, and the maximum value of the set proportion comprises a plurality of maximum values and a plurality of minimum values which are equal in number;
Identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth of field value corresponding to each imaging region, so as to send the overall depth of field value with the smallest value as the overall depth of field value of the imaging region of the nearest human body target to the content conversion mechanism further comprises: identifying each imaging area corresponding to each human target in the received real-time video frame based on the human imaging characteristics;
when detecting an imaging area of a nearest human body target, acquiring each human body pixel point through human body gray imaging characteristics, fitting the rest human body pixel points after removing the isolated human body pixel points to obtain a plurality of image areas, and confirming each image area matched with the standard human body contour shape in the plurality of image areas as the imaging area of the human body target so as to provide basic information for analysis of the nearest human body target;
identifying each imaging region corresponding to each human target in the received real-time video frame based on the human imaging characteristics comprises the following steps: identifying each imaging region corresponding to each human target in the received real-time video frame based on the human gray imaging features and the human contour imaging features;
Wherein, each imaging region that each human target in the real-time video frame that discerns received based on human gray scale imaging feature and human contour imaging feature corresponds respectively includes: taking a pixel point of which the gray value is within the human gray value range in the real-time image frame as a human pixel point, and taking a pixel point of which the gray value is outside the human gray value range in the real-time image frame as a non-human pixel point;
identifying each imaging region corresponding to each human target in the received real-time video frame based on the human gray scale imaging features and the human contour imaging features further comprises: fitting processing is carried out on each human body pixel point in the real-time video frame after isolated human body pixel points are removed, so that a plurality of target recognition areas are obtained;
wherein, based on human gray imaging characteristics and human contour imaging characteristics, identifying each imaging region corresponding to each human target in the received real-time image frame further comprises: taking a target recognition area with the edge shape matched with the standard human body contour as an imaging area corresponding to a human body target so as to obtain a plurality of target recognition areas in the real-time video frame;
when the received nearest human body distance is smaller than or equal to the distance upper limit threshold, the starting of the fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, comprises the following steps: expressing a numerical mapping relation between a nearest human body distance and the fine-tuned output power by using a numerical function, taking the nearest human body distance and the distance upper limit threshold value as two input data of the numerical function, taking the fine-tuned output power as single output data of the numerical function, realizing the numerical function by using a MATLAB simulation tool box, and verifying the numerical function;
The information storage mechanism is realized by selecting a static storage chip, a dynamic storage chip or a FLASH FLASH memory;
the value of the distance lower threshold is 25 cm, and the value of the distance lower threshold is 200 cm.
2. The electric heater safety control system based on recent human discernment of claim 1, further comprising:
and the safety alarm device is respectively connected with the information storage mechanism and the heating assembly and is used for executing safety alarm operation corresponding to the too close human body distance when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value.
3. The electric heater safety control system based on recent human discernment of claim 1, further comprising:
the resolution setting device is arranged on the support frame body of the graphene electric heater and connected with the synchronous camera device and used for setting the real-time resolution of the real-time video frames output by the synchronous camera device on site.
4. The electric heater safety control system based on recent human discernment of claim 1, further comprising:
The contrast enhancement device is arranged between the intelligent analysis device and the synchronous camera device and is used for performing contrast enhancement processing on the received real-time video frames to acquire signal enhancement pictures;
and the contrast ratio improving device sends the signal improving picture to the content conversion mechanism instead of the real-time video frame.
5. The electric heater safety control system based on recent human discernment of claim 1, further comprising:
a noise elimination device, which is arranged between the intelligent analysis device and the synchronous camera device, and is used for executing salt and pepper noise elimination processing on the received real-time video frames so as to acquire quality improvement processing pictures;
and the noise elimination device is used for transmitting the quality improvement processing picture to the content conversion mechanism instead of the real-time video frame.
6. An electric heater safety control method based on nearest human body identification, which is characterized by comprising the following steps:
the method comprises the steps of using a graphene electric heater, covering a heating assembly with a graphene coating, and performing heating operation on a scene;
an information storage mechanism is used for pre-storing a distance upper limit threshold value and a distance lower limit threshold value, wherein the distance upper limit threshold value is larger than the distance lower limit threshold value;
The power fine adjustment mechanism is respectively connected with the information storage mechanism and the heating component and is used for starting fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating component for covering the graphene coating, when the received nearest human body distance is smaller than or equal to the distance upper limit threshold value and is also used for suspending fine adjustment action of the output power based on the nearest human body distance, which is executed by the heating component for covering the graphene coating, when the received nearest human body distance is larger than or equal to the distance lower limit threshold value;
the content conversion mechanism is connected with the power fine adjustment mechanism and is used for determining the corresponding nearest human body distance based on the received integral depth of field value of the imaging area of the nearest human body target, and sending the determined nearest human body distance to the power fine adjustment mechanism, wherein the corresponding nearest human body distance is associated with the integral depth of field value positive value;
the method comprises the steps that a synchronous camera shooting device is used, the synchronous camera shooting device is connected with a heating assembly and is positioned in the middle of the top of a supporting frame body of the graphene electric heater, the synchronous camera shooting device comprises a state detection assembly, a synchronous control assembly, a camera shooting execution assembly and a parallel data bus, the state detection assembly is connected with the heating assembly and is used for sending a heating detection signal when detecting that the heating assembly is in a heating state currently, the synchronous control assembly is respectively connected with the state detection assembly and the camera shooting execution assembly and is used for starting camera shooting action of the camera shooting execution assembly on a scene where the graphene electric heater is located when receiving the heating detection signal so as to obtain a real-time record frame corresponding to a current timestamp, and the parallel data bus is respectively connected with the state detection assembly, the synchronous control assembly and the camera shooting execution assembly and is used for establishing a parallel data link between two devices in the state detection assembly, the synchronous control assembly and the camera shooting execution assembly;
The intelligent analysis device is respectively connected with the content conversion mechanism and the synchronous camera device and is used for identifying each imaging area corresponding to each human body target in the received real-time video frame, comparing each integral depth value corresponding to each imaging area and sending the integral depth value with the smallest value to the content conversion mechanism as the integral depth value of the imaging area of the nearest human body target;
the power fine adjustment mechanism is further used for stopping heating treatment of the heating component when the received nearest human body distance is smaller than or equal to the distance lower limit threshold value;
the distance between the nearest human body and the upper limit threshold value of the distance is smaller as the distance between the nearest human body and the upper limit threshold value of the distance is farther;
the identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth value corresponding to each imaging region, so as to send the overall depth value with the smallest value as the overall depth value of the imaging region of the nearest human body target to the content conversion mechanism comprises: for an imaging area corresponding to each human body target, taking the average value of a plurality of residual depth values after removing the maximum value of a set proportion from each depth value corresponding to each pixel point forming the imaging area as the integral depth value corresponding to the imaging area;
The method for removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region, taking the average value of a plurality of residual depth of field values after removing the maximum value of the set proportion from the depth of field values corresponding to each pixel point forming the imaging region as the whole depth of field value corresponding to the imaging region comprises the following steps: the set proportion is smaller than a preset proportion threshold value, and the maximum value of the set proportion comprises a plurality of maximum values and a plurality of minimum values which are equal in number;
when the received nearest human body distance is smaller than or equal to the distance upper limit threshold, the starting of the fine adjustment action of the output power based on the nearest human body distance, which is executed on the heating component covering the graphene coating, comprises the following steps: expressing a numerical mapping relation between a nearest human body distance and the fine-tuned output power by using a numerical function, taking the nearest human body distance and the distance upper limit threshold value as two input data of the numerical function, taking the fine-tuned output power as single output data of the numerical function, realizing the numerical function by using a MATLAB simulation tool box, and verifying the numerical function;
the information storage mechanism is realized by selecting a static storage chip, a dynamic storage chip or a FLASH FLASH memory;
Wherein the value of the distance lower threshold is 25 cm, and the value of the distance lower threshold is 200 cm;
identifying each imaging region corresponding to each human body target in the received real-time image frame, and comparing each overall depth of field value corresponding to each imaging region, so as to send the overall depth of field value with the smallest value as the overall depth of field value of the imaging region of the nearest human body target to the content conversion mechanism further comprises: identifying each imaging area corresponding to each human target in the received real-time video frame based on the human imaging characteristics;
identifying each imaging region corresponding to each human target in the received real-time video frame based on the human imaging characteristics comprises the following steps: identifying each imaging region corresponding to each human target in the received real-time video frame based on the human gray imaging features and the human contour imaging features;
wherein, each imaging region that each human target in the real-time video frame that discerns received based on human gray scale imaging feature and human contour imaging feature corresponds respectively includes: taking a pixel point of which the gray value is within the human gray value range in the real-time image frame as a human pixel point, and taking a pixel point of which the gray value is outside the human gray value range in the real-time image frame as a non-human pixel point;
Identifying each imaging region corresponding to each human target in the received real-time video frame based on the human gray scale imaging features and the human contour imaging features further comprises: fitting processing is carried out on each human body pixel point in the real-time video frame after isolated human body pixel points are removed, so that a plurality of target recognition areas are obtained;
wherein, based on human gray imaging characteristics and human contour imaging characteristics, identifying each imaging region corresponding to each human target in the received real-time image frame further comprises: and taking the target recognition area with the edge shape matched with the standard human body contour as an imaging area corresponding to the human body target so as to obtain a plurality of target recognition areas in the real-time video frame.
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