Intelligent construction site security and protection monitoring system

Abstract

The invention relates to an intelligent construction site security and protection monitoring system, and the system comprises a second cloud computing node which is used for analyzing the multi-component covariance of a cyan component, a magenta component, a yellow component and a black component of a target sub-picture where a nearest human body is located in an ultra-definition real-shot picture which serves as a site picture of an intelligent construction site, based on the multi-component covariance, determining the size of a coding block selected when intra-frame coding is performed on the whole super-definition real-shot picture; and the parameter application device is used for performing intra-frame coding operation on the whole super-definition real-shot picture by adopting the determined size of the coding block. According to the invention, the method can analyze the multi-component covariance of the sub-picture where the nearest human body is located in the ultra-definition real-shot picture of the intelligent construction site, and dynamically determines the size of the coding block selected when the intra-frame coding is executed on the whole ultra-definition real-shot picture. Therefore, the compression ratio of the smart construction site picture and the reconstruction effect of the receiving end are considered.

Description

Technical Field

[0001] The present invention relates to the field of smart buildings, and in particular to a smart building site security monitoring system. Background Art

[0002] Smart construction sites will embed more high-tech technologies such as artificial intelligence, sensor technology, virtual reality, etc. into various objects such as buildings, machinery, personnel wearable equipment, and site access points, and they are generally interconnected to form the "Internet of Things", and then integrated with the "Internet" to achieve the integration of project management stakeholders and project construction sites. The core of smart construction sites is to improve the way in which various project-related organizations and post personnel interact with each other in a "smarter" way, so as to improve the clarity, efficiency, flexibility and response speed of interaction.

[0003] Generally, the on-site security monitoring images of smart construction sites are all ultra-clear real-life images. However, the amount of data in ultra-clear real-life images is large. When performing intra-frame encoding for compressed transmission as a whole, if a smaller coding block is used, although the encoding quality is improved, the compression ratio is reduced, and too much data is transmitted. On the contrary, if a larger coding block is used, the compression ratio is a satisfactory value, the transmitted data is reduced, but the encoding quality is reduced. Therefore, the compressed transmission of on-site security monitoring images of smart construction sites is caught in a dilemma. Summary of the invention

[0004] In order to solve technical problems in related fields, the present invention provides a smart construction site security monitoring system, which dynamically determines the size of the coding block selected when performing intra-frame coding on the ultra-high-definition real-shot picture as a whole by analyzing the multi-component covariance of the sub-picture closest to the human body in the ultra-high-definition real-shot picture as the scene picture of the smart construction site, thereby taking into account the compression ratio of the smart construction site scene picture and the reconstruction effect of the receiving end.

[0005] According to the present invention, a smart construction site security monitoring system is provided, the system comprising: A dynamic acquisition mechanism is fixed at the front end of the smart construction site, and is used to perform standard definition preview image acquisition on the front end of the smart construction site, and when there is a human imaging area in the acquired preview image with a number of pixels exceeding a set number threshold, trigger an ultra-clear real-time shooting action of the front end of the smart construction site, so as to obtain and output a corresponding ultra-clear real-time shooting image; A layered enhancement mechanism, connected to the dynamic acquisition mechanism and comprising a first enhancement component, a second enhancement component and a third enhancement component, for sequentially performing affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received ultra-clear real-shot pictures to obtain and output corresponding layered enhanced pictures, wherein the first enhancement component, the second enhancement component and the third enhancement component are sequentially connected; A first cloud computing node is connected to the hierarchical enhancement mechanism and is used to detect the sub-picture occupied by the human target with the strongest depth of field in the received hierarchical enhancement picture based on the human imaging characteristics, and output it as the target sub-picture corresponding to the nearest human target; A second cloud computing node, connected to the first cloud computing node, is used to analyze the multi-component covariance of the cyan component, the magenta component, the yellow component, and the black component of the target sub-image, and determine the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot image based on the multi-component covariance; A parameter application device, connected to the second cloud computing node, is used to perform an intra-frame encoding operation on the entire ultra-high-definition real-shot picture using the determined encoding block size to obtain an encoded data stream corresponding to the ultra-high-definition real-shot picture; Wherein, analyzing the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture, and determining the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot picture based on the multi-component covariance includes: obtaining each cyan component, each magenta component, each yellow component and each black component corresponding to each pixel point of the target sub-picture, and calculating the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture according to each cyan component, magenta component, yellow component and black component corresponding to each pixel point of the target sub-picture; The method further comprises: analyzing the multi-component covariance of the cyan component, the magenta component, the yellow component and the black component of the target sub-image, and determining the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot image based on the multi-component covariance, further comprising: each pixel point in the target sub-image has a cyan component, a magenta component, a yellow component and a black component in the CMYK space; Among them, analyzing the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture, and determining the size of the coding block selected when performing intra-frame coding on the ultra-high-definition real-shot picture as a whole based on the multi-component covariance also includes: the determined size of the coding block selected when performing intra-frame coding on the ultra-high-definition real-shot picture as a whole is inversely correlated with the multi-component covariance.

[0006] It can be seen that the present invention has at least the following four important inventive concepts: Invention concept 1: A dynamic acquisition mechanism fixed at the front end of the smart construction site is used to perform standard definition preview image acquisition on the front end of the smart construction site, and when there is a human imaging area in the acquired preview image with a number of pixels exceeding a set number threshold, an ultra-clear real-time shooting action of the front end of the smart construction site is triggered to obtain and output a corresponding ultra-clear real-time shooting image, thereby reducing unnecessary shooting actions and reducing the power consumption of the entire system; Inventive concept 2: A hierarchical enhancement mechanism with a customized structural design including a first enhancement component, a second enhancement component and a third enhancement component is used to sequentially perform affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received ultra-clear real-shot pictures to obtain and output hierarchical enhanced pictures with better quality, providing a reliable data basis for the subsequent analysis of the nearest human target; Invention concept three: introducing a first cloud computing node for detecting the sub-picture occupied by the human target with the strongest depth of field in the received layered enhanced picture based on the human imaging characteristics, and outputting the sub-picture as the target sub-picture corresponding to the nearest human target; Inventive concept four: Introduce a second cloud computing node to analyze the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture, and what is particularly critical is that the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot picture as a whole is determined based on the multi-component covariance, wherein the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot picture as a whole is inversely correlated with the multi-component covariance, so as to selectively select a matching intra-frame coding scheme according to the complexity of the visual content of the nearest human target in the front-end picture of the smart construction site, the more complex the visual content of the nearest human target, the more sophisticated the selected intra-frame coding scheme is with a smaller-sized coding block. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein: Figure 1 Schematic diagram of the internal structure of a smart construction site security monitoring system according to the first embodiment of the present invention.

[0008] Figure 2 Schematic diagram of the internal structure of a smart construction site security monitoring system according to a second embodiment of the present invention.

[0009] Figure 3 Schematic diagram of the internal structure of a smart construction site security monitoring system according to a third embodiment of the present invention. DETAILED DESCRIPTION

[0010] The embodiments of the smart construction site security monitoring system of the present invention will be described in detail below with reference to the accompanying drawings.

[0011] Figure 1 This is a schematic diagram of the internal structure of a smart construction site security monitoring system according to a first embodiment of the present invention, wherein the system comprises: A dynamic acquisition mechanism is fixed at the front end of the smart construction site, and is used to perform standard definition preview image acquisition on the front end of the smart construction site, and when there is a human imaging area in the acquired preview image with a number of pixels exceeding a set number threshold, trigger an ultra-clear real-time shooting action of the front end of the smart construction site, so as to obtain and output a corresponding ultra-clear real-time shooting image; A layered enhancement mechanism, connected to the dynamic acquisition mechanism and comprising a first enhancement component, a second enhancement component and a third enhancement component, for sequentially performing affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received ultra-clear real-shot pictures to obtain and output corresponding layered enhanced pictures, wherein the first enhancement component, the second enhancement component and the third enhancement component are sequentially connected; For example, a layered enhancement mechanism is connected to the dynamic acquisition mechanism and includes a first enhancement component, a second enhancement component and a third enhancement component, and is used to sequentially perform affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received ultra-clear real-shot pictures to obtain and output corresponding layered enhanced pictures, and the first enhancement component, the second enhancement component and the third enhancement component are sequentially connected, including: using different SOC devices to respectively implement the first enhancement component, the second enhancement component and the third enhancement component; A first cloud computing node is connected to the hierarchical enhancement mechanism and is used to detect the sub-picture occupied by the human target with the strongest depth of field in the received hierarchical enhancement picture based on the human imaging characteristics, and output it as the target sub-picture corresponding to the nearest human target; A second cloud computing node, connected to the first cloud computing node, is used to analyze the multi-component covariance of the cyan component, the magenta component, the yellow component, and the black component of the target sub-image, and determine the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot image based on the multi-component covariance; A parameter application device, connected to the second cloud computing node, is used to perform an intra-frame encoding operation on the entire ultra-high-definition real-shot picture using the determined encoding block size to obtain an encoded data stream corresponding to the ultra-high-definition real-shot picture; Wherein, analyzing the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture, and determining the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot picture based on the multi-component covariance includes: obtaining each cyan component, each magenta component, each yellow component and each black component corresponding to each pixel point of the target sub-picture, and calculating the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture according to each cyan component, magenta component, yellow component and black component corresponding to each pixel point of the target sub-picture; The method further comprises: analyzing the multi-component covariance of the cyan component, the magenta component, the yellow component and the black component of the target sub-image, and determining the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot image based on the multi-component covariance, further comprising: each pixel point in the target sub-image has a cyan component, a magenta component, a yellow component and a black component in the CMYK space; Wherein, analyzing the multi-component covariance of the cyan component, the magenta component, the yellow component and the black component of the target sub-image, and determining the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot image as a whole based on the multi-component covariance further includes: the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot image as a whole is inversely correlated with the multi-component covariance; And wherein, analyzing the multi-component covariance of the cyan component, the magenta component, the yellow component and the black component of the target sub-image, and determining the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot image as a whole based on the multi-component covariance further comprises: using a parameter conversion formula to express the parameter conversion relationship inversely associated with the multi-component covariance of the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot image as a whole; And wherein, a parameter conversion formula is used to express the parameter conversion relationship in which the size of the coding block selected when intra-frame coding is performed on the entire ultra-clear real-shot picture and the multi-component covariance are inversely correlated, including: in the parameter conversion formula, the size of the coding block selected when intra-frame coding is performed on the entire ultra-clear real-shot picture is the output parameter, and the multi-component covariance is the input parameter.

[0012] Figure 2 Schematic diagram of the internal structure of a smart construction site security monitoring system according to a second embodiment of the present invention.

[0013] and Figure 1 different, Figure 2 The smart construction site security monitoring system can also include the following components: A state monitoring mechanism, connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, respectively, for measuring the instant internal heat of each of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component; The state monitoring mechanism is respectively connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, and is used to respectively measure the instantaneous internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, including: the state monitoring mechanism includes a plurality of heat measurement units, which are respectively connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, so as to respectively measure the instantaneous internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component; Wherein, the state monitoring mechanism includes a plurality of heat measurement units, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, so as to complete the measurement of the real-time internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, including: the plurality of heat measurement units are a plurality of heat sensors, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, so as to complete the measurement of the real-time internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively; The plurality of heat measurement units are a plurality of heat sensors, which are respectively connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component to respectively measure the instant internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, including: the internal structures of the plurality of heat sensors are the same; Among them, the multiple heat measurement units are multiple heat sensors, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively to complete the separate measurement of the real-time internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, and also include: the multiple heat sensors have the same heat measurement upper limit value and heat measurement lower limit value.

[0014] Figure 3 Schematic diagram of the internal structure of a smart construction site security monitoring system according to a third embodiment of the present invention.

[0015] and Figure 1 different, Figure 3 The smart construction site security monitoring system can also include the following components: 51 single-chip microcomputer chip, respectively connected to the multiple heat measurement units of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, for realizing on-site configuration of the real-time working mode of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component; Among them, the 51 single-chip microcomputer chip is respectively connected to the multiple heat measurement units of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, and is used to realize the on-site configuration of the real-time working mode of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component. The 51 single-chip microcomputer chip is a processor with multiple serial communication interfaces; And wherein, the 51 single-chip microcomputer chip is respectively connected to multiple heat measurement units of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, and is used to realize the on-site configuration of the real-time working mode of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, including: the 51 single-chip microcomputer chip has built-in registers, timers and static storage devices.

[0016] In addition, in the smart construction site security monitoring system, a layered enhancement mechanism is connected to the dynamic acquisition mechanism and includes a first enhancement component, a second enhancement component and a third enhancement component, which is used to perform affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received ultra-clear real-shot pictures in sequence to obtain and output corresponding layered enhanced pictures. The first enhancement component, the second enhancement component and the third enhancement component are connected in sequence, including: the first enhancement component, the second enhancement component and the third enhancement component respectively perform affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received picture data.

[0017] The smart construction site security monitoring system of the present invention aims to solve the technical problem in the prior art that the compressed transmission of on-site security monitoring images of smart construction sites is caught in a dilemma between compression ratio and encoding quality. By analyzing the multi-component covariance of the sub-image closest to the human body in the ultra-clear real-shot image as the on-site image of the smart construction site, the size of the coding block selected when performing intra-frame coding on the ultra-clear real-shot image as a whole is dynamically determined, thereby taking into account both the compression ratio of the on-site image of the smart construction site and the reconstruction effect of the receiving end, thereby solving the above technical problem.

[0018] The present invention has been described in great detail above, so that after reading and understanding this specification, various changes and modifications of the present invention will become obvious to those skilled in the art. Therefore, all such changes and modifications are also included in this invention, and therefore they are within the scope of protection of the claims.

Claims

1. A smart construction site security monitoring system, characterized in that: The system comprises: A dynamic acquisition mechanism is fixed at the front end of the smart construction site, and is used to perform standard definition preview image acquisition on the front end of the smart construction site, and when there is a human imaging area in the acquired preview image with a number of pixels exceeding a set number threshold, trigger an ultra-clear real-time shooting action of the front end of the smart construction site, so as to obtain and output a corresponding ultra-clear real-time shooting image; A layered enhancement mechanism, connected to the dynamic acquisition mechanism and comprising a first enhancement component, a second enhancement component and a third enhancement component, for sequentially performing affine transformation processing, adaptive recursive filtering processing and linear grayscale transformation processing on the received ultra-clear real-shot pictures to obtain and output corresponding layered enhanced pictures, wherein the first enhancement component, the second enhancement component and the third enhancement component are sequentially connected; A first cloud computing node is connected to the hierarchical enhancement mechanism and is used to detect the sub-picture occupied by the human target with the strongest depth of field in the received hierarchical enhancement picture based on the human imaging characteristics, and output it as the target sub-picture corresponding to the nearest human target; A second cloud computing node, connected to the first cloud computing node, is used to analyze the multi-component covariance of the cyan component, the magenta component, the yellow component, and the black component of the target sub-image, and determine the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot image based on the multi-component covariance; A parameter application device, connected to the second cloud computing node, is used to perform an intra-frame encoding operation on the entire ultra-high-definition real-shot picture using the determined encoding block size to obtain an encoded data stream corresponding to the ultra-high-definition real-shot picture; Wherein, analyzing the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture, and determining the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot picture based on the multi-component covariance includes: obtaining each cyan component, each magenta component, each yellow component and each black component corresponding to each pixel point of the target sub-picture, and calculating the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture according to each cyan component, magenta component, yellow component and black component corresponding to each pixel point of the target sub-picture; The method further comprises: analyzing the multi-component covariance of the cyan component, the magenta component, the yellow component and the black component of the target sub-image, and determining the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot image based on the multi-component covariance, further comprising: each pixel point in the target sub-image has a cyan component, a magenta component, a yellow component and a black component in the CMYK space; Among them, analyzing the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-picture, and determining the size of the coding block selected when performing intra-frame coding on the ultra-high-definition real-shot picture as a whole based on the multi-component covariance also includes: the determined size of the coding block selected when performing intra-frame coding on the ultra-high-definition real-shot picture as a whole is inversely correlated with the multi-component covariance.

2. The intelligent construction site security monitoring system according to claim 1, characterized in that: Analyzing the multi-component covariance of the cyan component, magenta component, yellow component and black component of the target sub-image, and determining the size of the coding block selected when performing intra-frame encoding on the ultra-high-definition real-shot image as a whole based on the multi-component covariance also includes: using a parameter conversion formula to express the parameter conversion relationship that is inversely correlated with the multi-component covariance and the size of the coding block selected when performing intra-frame encoding on the ultra-high-definition real-shot image as a whole.

3. The intelligent construction site security monitoring system according to claim 2, characterized in that: The parameter conversion relationship between the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot picture and the inverse correlation between the multi-component covariance and the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot picture is expressed by a parameter conversion formula, including: in the parameter conversion formula, the size of the coding block selected when performing intra-frame coding on the entire ultra-clear real-shot picture is the output parameter, and the multi-component covariance is the input parameter.

4. The intelligent construction site security monitoring system according to claim 3, characterized in that: The system further comprises: A state monitoring mechanism, connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, respectively, for measuring the instant internal heat of each of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component; Among them, the state monitoring mechanism is respectively connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component, and is used to respectively measure the instantaneous internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component. The state monitoring mechanism includes multiple heat measurement units, which are respectively connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component to complete the individual measurements of the instantaneous internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component.

5. The intelligent construction site security monitoring system according to claim 4, characterized in that: The state monitoring mechanism includes a plurality of heat measuring units, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, so as to complete the respective measurement of the instant internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, including: the plurality of heat measuring units are a plurality of heat sensors, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, so as to complete the respective measurement of the instant internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively.

6. The intelligent construction site security monitoring system according to claim 5, characterized in that: The multiple heat measurement units are multiple heat sensors, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, so as to complete the measurement of the real-time internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, including: the internal structures of the multiple heat sensors are the same.

7. The intelligent construction site security monitoring system according to claim 6, characterized in that: The multiple heat measurement units are multiple heat sensors, which are used to be connected to the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively to complete the measurement of the real-time internal heat of the dynamic collection mechanism, the first reinforcement component, the second reinforcement component and the third reinforcement component respectively, and also include: the multiple heat sensors have the same heat measurement upper limit value and heat measurement lower limit value.

8. The intelligent construction site security monitoring system according to claim 4, characterized in that: The system further comprises: The single-chip microcomputer chip 51 is respectively connected to a plurality of heat measurement units of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, and is used to realize on-site configuration of the real-time working mode of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component.

9. The intelligent construction site security monitoring system according to claim 8, characterized in that: The 51 single-chip microcomputer chip is respectively connected to the multiple heat measurement units of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, and is used to realize the on-site configuration of the real-time working mode of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component. The 51 single-chip microcomputer chip is a processor with multiple serial communication interfaces.

10. The intelligent construction site security monitoring system according to claim 8, characterized in that: The 51 single-chip microcomputer chip is respectively connected to a plurality of heat measurement units of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, and is used to realize the on-site configuration of the real-time working mode of the dynamic acquisition mechanism, the first enhancement component, the second enhancement component and the third enhancement component, including: the 51 single-chip microcomputer chip has built-in registers, timers and static storage devices.

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