Remote intelligent maintenance control system for bare concrete

Abstract

The invention discloses a fair-faced concrete remote intelligent maintenance control system, and relates to the field of building engineering construction, and the system comprises a collection module which is used for collecting the state information of a fair-faced concrete member in real time, and storing the collected fair-faced concrete member; the selection module is used for acquiring the surface global image of the bare concrete member in the state information of the bare concrete member, segmenting the surface global image of the bare concrete member, and selecting one sub-image from the segmented sub-images as a reference image; according to the method, surface temperature and humidity information and global images of the bare concrete member are collected, distinguished storage and timestamp marking are performed, so that checking at any time is facilitated, a reference area conforming to a health maintenance state is selected through image segmentation and similarity comparison, and states of different areas are accurately compared, so that the system can accurately check the state of the bare concrete member according to the information. Water mist spraying, curing agent spraying or heating operation is synchronously carried out on different areas of the surface of the component, and adaptive regulation and control of temperature and humidity are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of building engineering construction, and in particular to a remote intelligent maintenance control system for fair-faced concrete. Background Art

[0002] Fair-faced concrete components are cast in one go without any external decoration, showing only the natural color of concrete. The surface is flat and smooth, with uniform color, retaining the natural texture and feel. Due to its durability, good fire resistance and other characteristics, it is widely used in the construction field.

[0003] The invention patent application with application number 202410961880.2 discloses an intelligent control system for concrete product maintenance, including: a maintenance quality analysis module, which is used to place the current batch of concrete products in the target maintenance shed in sequence, collect the humidity corresponding to each concrete product in each maintenance area of ​​the target maintenance shed at each monitoring time point, and collect the ambient temperature of each maintenance area of ​​the target maintenance shed, and analyze the maintenance quality coefficient of the concrete products in each maintenance area; a maintenance quality abnormality confirmation module, which is used to record the maintenance area as the target maintenance area when the maintenance quality coefficient of the concrete products in a certain maintenance area is less than the set value, and confirm the cause of the maintenance quality abnormality of each target maintenance area; a solution matching module, which is used to match the corresponding maintenance quality solution according to the cause of the maintenance quality abnormality; a database, It is used to store the appropriate humidity during the curing period of concrete products, store the ventilation speed to be adjusted for each humidity deviation corresponding to the ventilator, store the required spraying amount corresponding to the unit increase in humidity, store the appropriate ambient temperature of the concrete product curing area, store the required spraying amount corresponding to the unit decrease in temperature, and store the required heating time corresponding to the unit increase in temperature; the curing time management module is used to collect the surface state information corresponding to each concrete product in each curing area of ​​the target curing shed after the curing quality solution for each target curing area is executed, and manage the curing time of the concrete products in each curing area. This application aims to solve the problem that "the quality judgment in the current concrete product curing process relies on manual labor, lacks comprehensive evaluation of temperature and humidity, the abnormal solutions are general, the curing time relies on experience, and is not combined with the surface state, which affects the quality and progress".

[0004] In response to the above problems, we also propose a remote intelligent maintenance control system for bare concrete. Summary of the invention

[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides a remote intelligent maintenance control system for plain concrete, which can effectively solve the problems of the prior art.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: The invention discloses a remote intelligent maintenance control system for plain concrete, comprising: The acquisition module is used to acquire the status information of fair - faced concrete components in real - time and store the acquired fair - faced concrete components; the selection module is used to obtain the global image of the surface of the fair - faced concrete component in the status information of the fair - faced concrete component, segment the global image of the surface of the fair - faced concrete component, and select one of the sub - images obtained by segmentation as the reference image; the query module is used to obtain the latest stored status information of the fair - faced concrete component in the acquisition module and query the status information of the fair - faced concrete component to which the sub - image selected by the selection module as the reference image belongs; the maintenance management module is used to receive the status information of the fair - faced concrete component obtained by the query module and the queried status information of the fair - faced concrete component, and perform adaptive maintenance on the fair - faced concrete component with reference to the queried status information of the fair - faced concrete component and the obtained status information of the fair - faced concrete component; the recording module is used to record the adaptive maintenance operation information of the fair - faced concrete component in the maintenance management module and generate a maintenance message for the fair - faced concrete component based on the maintenance information; the annotation module is used to traverse the maintenance message for the fair - faced concrete component generated in the recording module and perform quality control risk annotation on the latest acquired global image of the surface of the fair - faced concrete component based on the content of the maintenance message for the fair - faced concrete component.

[0007] Furthermore, a sensing unit and a camera module are provided under the acquisition module. The sensing unit is integrated by a temperature sensor and a humidity sensor. The sensing unit is used to sense the surface temperature information and humidity information of the fair - faced concrete component, and the camera module is used to acquire the global image of the surface of the fair - faced concrete component in real - time according to a preset period. The temperature sensor and the humidity sensor are evenly deployed on the surface of the fair - faced concrete component. It is set that the adjacent sensors of the temperature sensor are always humidity sensors, and the adjacent spacing of the sensors is equal. The deployment quantities of the temperature sensor and the humidity sensor are not unique and are equal. The deployment quantities of the temperature sensor and the humidity sensor follow the rule that the larger the surface area of the fair - faced concrete component, the more the deployment quantity; conversely, the smaller the deployment quantity. Among them, the status information of the fair - faced concrete component acquired by the acquisition module operation, that is, the surface temperature and humidity information and the global image of the fair - faced concrete component. When the acquisition module stores the status information of the fair - faced concrete component, it is stored separately based on its source, and each group of information is marked with a source timestamp.

[0008] Furthermore, when the selection module performs segmentation processing on the global image of the surface of the fair - faced concrete component, the number of segments is set to be not less than 2 2, and it follows that: ; In the formula: is the number of sub - images obtained by segmenting each side of the global image of the surface of the fair - faced concrete component; is the number of humidity sensors deployed; is the number of temperature sensors deployed; is the number of sub-images obtained by global image segmentation of the fair-faced concrete component surface; Among them, The value is rounded to the nearest integer, and the number of temperature sensors and humidity sensors deployed in the corresponding areas of each segmented sub-image is equal.

[0009] Furthermore, when the selection module selects sub-images, a reference image is uploaded by the user at the system end. The reference image is a prior image conforming to the healthy maintenance state of fair-faced concrete. The reference image is compared with each sub-image for similarity to obtain the sub-image with the highest similarity to the reference image as the selection target, and the selection operation is performed, denoted as the reference image; The similarity comparison logic between the prior image and the sub-image is: ; In the formula: is the similarity between images a and b; are the length and width of the image; is the LBP feature value at the coordinate (i, j) in the LBP feature map obtained by performing local binary pattern processing on images a and b; is the color difference value at the coordinate (i, j) in the color difference map obtained by calculating the color difference of each pixel after converting images a and b to the CIELAB color space; is the structural feature value at the coordinate (i, j) in the structural feature map obtained by processing images a and b using morphological opening and closing operations; Among them, based on the above formula, the prior image is compared with each group of sub-images for similarity to determine the reference image as the selection target.

[0010] Furthermore, the query module runs to obtain the latest stored fair-faced concrete component status information in the acquisition module, corresponding to the fair-faced concrete component status information collected by the acquisition module in the latest operation; During the operation stage of the query module, the status information acquisition device deployed in the corresponding area of the sub-image selected by the selection module as the reference image on the fair-faced concrete component surface is used as the query target, and the status information originating from the query target in the fair-faced concrete component status information obtained by the query module running is used as the query result of the query module.

[0011] Furthermore, a spraying module and a temperature control module are set under the maintenance management module. The spraying module is used to spray water mist or curing agent on the fair-faced concrete component, and the temperature control module is used to heat the surface of the fair-faced concrete component; The spraying module and the temperature control module operate synchronously, with the surface areas of the fair-faced concrete members corresponding to each sub-image as the processing targets; During the operation stage of the maintenance management module, among the fair-faced concrete member status information obtained except for the queried fair-faced concrete member status information, a set of fair-faced concrete member status information is selected, and the temperature and humidity information in this set of fair-faced concrete member status information is further obtained. The surface areas of the fair-faced concrete members corresponding to this set of fair-faced concrete member status information are adaptively regulated through the spraying module and the temperature control module, so that the temperature and humidity of the corresponding surface areas of the fair-faced concrete members are changed to be consistent with the temperature and humidity information in the queried fair-faced concrete member status information.

[0012] Furthermore, during the process of adaptively regulating the temperature and humidity of the areas corresponding to each sub-image on the surface of the fair-faced concrete member, an emergency level analysis is performed on the areas corresponding to each sub-image, and the areas corresponding to the sub-images with a high emergency level are used as the priority regulation targets.

[0013] Furthermore, the emergency level analysis logic for the areas corresponding to each sub-image is expressed as: ; In the formula: is the emergency level performance value of the area corresponding to the sub-image; , are the humidity and temperature of the area corresponding to the sub-image; , are the humidity and temperature of the area corresponding to the sub-image queried by the query module, that is, the regulated target humidity and temperature; , are the weights; , means taking the maximum value within the brackets; Among them, The larger the value, the higher the emergency level of the area corresponding to the sub-image, and vice versa, the lower the emergency level of the area corresponding to the sub-image.

[0014] Furthermore, the content of the fair-faced concrete member maintenance message generated during the operation stage of the recording module is the adaptive maintenance operation information for the fair-faced concrete member in the maintenance management module. The adaptive maintenance operation information for the fair-faced concrete member in the maintenance management module includes: the surface areas of the fair-faced concrete members corresponding to the sub-images pointed to by the spraying module or the temperature control module; the running time and number of times of the spraying module; the spraying water mist volume and maintenance agent dosage of the spraying module; the running temperature of the temperature control module; During the operation stage of the annotation module, a color system is selected as the rendering color. Taking each sub-image in the global image of the fair-faced concrete component surface as an independent rendering target, the sub-image corresponding to the area on the fair-faced concrete component surface with more and longer adaptive curing times and cumulative curing times has a darker rendering color, and the sub-image corresponding to the area on the fair-faced concrete component surface with fewer and shorter adaptive curing times and cumulative curing times has a lighter rendering color.

[0015] Furthermore, a sensing unit and a camera module are connected to the lower level of the acquisition module through wireless network interaction. The acquisition module is connected to a selection module, a query module, and a curing management module through wireless network interaction. A spraying module and a temperature control module are connected to the lower level of the curing management module through wireless network interaction. The curing management module is connected to a recording module and an annotation module through wireless network interaction.

[0016] Adopting the technical solution provided by the present invention, compared with the known prior art, it has the following beneficial effects: The present invention provides a remote intelligent curing control system for fair-faced concrete. During the operation of the system, the curing effect and management level can be significantly improved. By collecting the surface temperature, humidity information, and global image of the fair-faced concrete component, and performing differential storage and timestamp marking, it is convenient for querying at any time. Through image segmentation and similarity comparison, a reference area meeting the healthy curing state is selected to accurately compare the states of different areas, so that the system can perform water mist spraying, curing agent spraying, or heating operations on different areas of the component surface synchronously according to this information, realizing adaptive regulation of temperature and humidity; At the same time, by giving priority to processing emergency areas, the timeliness and effectiveness of curing are ensured. In addition, the system will also record the curing operation information in detail, generate a curing message, and perform quality control risk annotation on the component surface image according to the message, intuitively presenting the curing situation of each area, facilitating the management personnel to quickly master the overall curing progress and quality, effectively guaranteeing the curing quality of the fair-faced concrete component, and improving the construction efficiency and project quality. Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0018] Figure 1 It is a structural schematic diagram of a remote intelligent curing control system for fair-faced concrete. Detailed Embodiments

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] The present invention will be further described below with reference to the embodiments.

[0021] Embodiment: A remote intelligent maintenance control system for fair-faced concrete in this embodiment is as Figure 1 shown and includes: An acquisition module for real-time acquisition of the state information of fair-faced concrete components and storage of the acquired fair-faced concrete components; A sensing unit and a camera module are arranged under the acquisition module. The sensing unit is integrated by a temperature sensor and a humidity sensor. The sensing unit is used to sense the surface temperature information and humidity information of fair-faced concrete components, and the camera module is used to acquire the global image of the surface of fair-faced concrete components in real time according to a preset period; The temperature sensor and the humidity sensor are evenly deployed on the surface of fair-faced concrete components. It is set that the adjacent sensors of the temperature sensor are always humidity sensors, and the adjacent spacing of the sensors is equal. The deployment numbers of the temperature sensor and the humidity sensor are not unique and are equal. The deployment numbers of the temperature sensor and the humidity sensor follow that the larger the surface area of fair-faced concrete components, the more the deployment numbers, and vice versa, the fewer the deployment numbers; Among them, the state information of fair-faced concrete components acquired by the acquisition module running, namely the surface temperature, humidity information and global image of fair-faced concrete components, when the acquisition module stores the state information of fair-faced concrete components, it is stored separately based on its source, and each group of information is marked with a source timestamp; A selection module for obtaining the global image of the surface of fair-faced concrete components in the state information of fair-faced concrete components, segmenting the global image of the surface of fair-faced concrete components, and selecting a sub-image as a reference image from the segmented sub-images; When the selection module performs segmentation processing on the global image of the surface of fair-faced concrete components, the set number of segments is not less than 2 2, and follows: ; In the formula: is the number of sub-images obtained by segmenting each side of the global image of the surface of fair-faced concrete components; is the deployment number of humidity sensors; is the deployment number of temperature sensors; is the number of sub-images obtained by global image segmentation of the fair-faced concrete component surface; wherein, The value is rounded to the nearest integer, and the number of temperature sensors and humidity sensors deployed in the corresponding areas of each segmented sub-image is equal; Through the above formula calculation, it provides support for the segmentation processing of the global image of the fair-faced concrete component surface.

[0022] When the selection module selects a sub-image, the system-end user uploads a reference image. The reference image is a prior image that conforms to the healthy maintenance state of fair-faced concrete. The reference image is used to compare the similarity with each sub-image to obtain the sub-image with the highest similarity to the reference image as the selection target, and the selection operation is performed, denoted as the reference image; The similarity comparison logic between the prior image and the sub-image is: ; In the formula: is the similarity between images a and b; are the length and width of the image; is the LBP feature value at the coordinate (i, j) in the LBP feature map obtained by performing local binary pattern processing on images a and b; is the color difference value at the coordinate (i, j) in the color difference map obtained by calculating the color difference of each pixel after converting images a and b to the CIELAB color space; is the structural feature value at the coordinate (i, j) in the structural feature map obtained by processing images a and b using morphological opening and closing operations; wherein, based on the above formula, the similarity between the prior image and each group of sub-images is compared to determine the reference image of the selection target; Through the above logical formula, a further image similarity calculation logic is provided, so as to perform similarity comparison on fair-faced concrete images, providing support for the further operation of the query module in this embodiment.

[0023] The query module is used to obtain the latest stored fair-faced concrete component state information in the acquisition module, and query the fair-faced concrete component state information to which the sub-image selected by the selection module as the reference image belongs; The fair-faced concrete component state information stored latest in the acquisition module obtained by the operation of the query module corresponds to the fair-faced concrete component state information collected by the acquisition module in the latest operation; During the operation of the query module, the state information acquisition device deployed in the corresponding area of the surface of the fair-faced concrete component, which selects the operation of the selection module as a sub-image of the reference image, is used as the query target. Among the state information of the fair-faced concrete component obtained by the operation of the query module, the state information from the query target is used as the query result of the query module. The maintenance management module is used to receive the state information of the fair-faced concrete component obtained by the query module and the queried state information of the fair-faced concrete component, and perform adaptive maintenance on the fair-faced concrete component with reference to the queried state information of the fair-faced concrete component and the obtained state information of the fair-faced concrete component. The spraying module and the temperature control module are set under the maintenance management module. The spraying module is used to spray water mist or curing agent on the fair-faced concrete component, and the temperature control module is used to heat the surface of the fair-faced concrete component. The spraying module and the temperature control module operate synchronously, with the surface area of the fair-faced concrete component corresponding to each sub-image as the processing target. During the operation of the maintenance management module, among the state information of the fair-faced concrete component obtained except for the queried state information of the fair-faced concrete component, a group of state information of the fair-faced concrete component is selected, and the temperature and humidity information in this group of state information of the fair-faced concrete component is further obtained. The surface area of the fair-faced concrete component corresponding to this group of state information of the fair-faced concrete component is adaptively regulated through the spraying module and the temperature control module, so that the temperature and humidity of the corresponding surface area of the fair-faced concrete component are changed to be consistent with the temperature and humidity information in the queried state information of the fair-faced concrete component. During the process of adaptively regulating the temperature and humidity of the corresponding area of each sub-image on the surface of the fair-faced concrete component, an emergency degree analysis is performed on the corresponding area of each sub-image, and the corresponding area of the sub-image with a high emergency degree is used as the priority regulation target. The emergency degree analysis logic of the corresponding area of each sub-image is expressed as: ; In the formula: is the emergency degree performance value of the corresponding area of the sub-image; 、 are the humidity and temperature of the corresponding area of the sub-image; 、 are the humidity and temperature of the corresponding area of the sub-image queried by the query module, that is, the regulated target humidity and temperature; 、 are the weights; 、 means taking the maximum value within the brackets; Among them, The larger the value, the higher the emergency degree of the corresponding area of the sub-image, and vice versa, the lower the emergency degree of the corresponding area of the sub-image. Through the above logical formula, the urgency of the corresponding areas of each sub-image is analyzed, making the zoning maintenance process of fair-faced concrete by this system more logical; A recording module, used to record the adaptive maintenance operation information of fair-faced concrete components in the maintenance management module, and generate a fair-faced concrete component maintenance message based on the maintenance information; The content of the fair-faced concrete component maintenance message generated during the operation stage of the recording module, that is, the adaptive maintenance operation information of fair-faced concrete components in the maintenance management module. The adaptive maintenance operation information of fair-faced concrete components in the maintenance management module includes: the operation of the spraying module or the temperature control module points to the surface area of the fair-faced concrete component corresponding to the sub-image; the operation time and frequency of the spraying module; the spraying water mist volume and curing agent dosage of the spraying module; the operation temperature of the temperature control module; During the operation stage of the annotation module, select a color system as the rendering color, and use each sub-image in the global image of the fair-faced concrete component surface as an independent rendering target, so that the sub-image with more adaptive maintenance times and cumulative maintenance time in the surface area of the fair-faced concrete component corresponding to the sub-image has a darker rendering color, and the sub-image with fewer adaptive maintenance times and cumulative maintenance time in the surface area of the fair-faced concrete component corresponding to the sub-image has a lighter rendering color; An annotation module, used to traverse the fair-faced concrete component maintenance message generated in the recording module, and perform quality control risk annotation on the latest collected global image of the fair-faced concrete component surface based on the content of the fair-faced concrete component maintenance message; The lower level of the acquisition module is wirelessly interconnected with a sensing unit and a camera module. The acquisition module is wirelessly interconnected with a selection module, a query module, and a maintenance management module. The lower level of the maintenance management module is wirelessly interconnected with a spraying module and a temperature control module. The maintenance management module is wirelessly interconnected with a recording module and an annotation module.

[0024] In this embodiment, the acquisition module runs to collect the status information of fair - faced concrete components in real - time, stores the collected fair - faced concrete components, the sensing unit synchronously senses the surface temperature information and humidity information of the fair - faced concrete components, the camera module collects the global image of the surface of the fair - faced concrete components in real - time according to a preset period, the selection module runs later to obtain the global image of the surface of the fair - faced concrete components from the status information of the fair - faced concrete components, segments the global image of the surface of the fair - faced concrete components, selects a sub - image from the segmented sub - images as a reference image, the query module further obtains the latest stored status information of the fair - faced concrete components in the acquisition module, the query and selection module runs to select the sub - image used as the reference image and the corresponding status information of the fair - faced concrete component, and the maintenance management module receives the status information of the fair - faced concrete component obtained by the query module and the queried status information of the fair - faced concrete component, and conducts adaptive maintenance on the fair - faced concrete component with reference to the queried status information of the fair - faced concrete component and the obtained status information of the fair - faced concrete component. The spraying module sprays water mist or spraying curing agent on the fair - faced concrete component in real - time, or heats the surface of the fair - faced concrete component through the temperature control module, and then the recording module records the adaptive maintenance operation information of the fair - faced concrete component in the maintenance management module, generates a fair - faced concrete component maintenance message based on the maintenance information, and finally the annotation module traverses the fair - faced concrete component maintenance messages generated in the recording module, and performs quality control risk annotation on the latest collected global image of the surface of the fair - faced concrete component based on the content of the fair - faced concrete component maintenance message.

[0025] Through the operation of the system in the above - mentioned embodiment, it assists the fair - faced concrete construction, more intelligently monitors the fair - faced concrete components in multiple aspects, ensures that the fair - faced concrete components can solidify continuously under the best state environment, and guarantees the quality of the fair - faced concrete components.

[0026] It should be noted that during the operation stage of the maintenance management module in this embodiment, during the process of conducting adaptive maintenance on fair - faced concrete, the integrated equipment of the spraying module and the temperature control module can be operated in a manual - control manner. During the operation stage, based on the position coordinates of the surface area of the component corresponding to each sub - image in the segmentation result of the global image of the surface of the fair - faced concrete component, positioning is carried out, so as to provide effective support and guidance for the users who carry out the maintenance work of fair - faced concrete components.

[0027] In summary, the system in the above embodiments can significantly improve the maintenance effect and management level during operation. By collecting the surface temperature, humidity information and global images of fair-faced concrete components, differentiating storage and marking time stamps, it is convenient for checking at any time. Through image segmentation and similarity comparison, a reference area that meets the healthy maintenance state is selected to accurately compare the states of different areas. As a result, the system can synchronously perform water mist spraying, curing agent spraying or heating operations on different areas of the component surface according to this information to achieve adaptive regulation of temperature and humidity. At the same time, by preferentially processing emergency areas, the timeliness and effectiveness of maintenance are ensured. In addition, the system will also record the maintenance operation information in detail, generate a maintenance message, and mark the quality control risk of the component surface image according to the message, intuitively presenting the maintenance situation of each area, facilitating managers to quickly grasp the overall maintenance progress and quality, effectively guaranteeing the maintenance quality of fair-faced concrete components, and improving construction efficiency and project quality.

[0028] The above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote intelligent curing control system for fair-faced concrete, characterized in that Including: A collection module for real-time collecting the status information of fair-faced concrete components and storing the collected fair-faced concrete components; A selection module for obtaining the global image of the surface of the fair-faced concrete component in the status information of the fair-faced concrete component, segmenting the global image of the surface of the fair-faced concrete component, and selecting one sub-image from the segmented sub-images as a reference image; A query module for obtaining the latest stored status information of the fair-faced concrete component in the collection module and querying the status information of the fair-faced concrete component to which the sub-image selected by the selection module as the reference image belongs; A maintenance management module for receiving the status information of the fair-faced concrete component obtained by the query module and the queried status information of the fair-faced concrete component, and performing adaptive maintenance on the fair-faced concrete component with reference to the queried status information of the fair-faced concrete component and the obtained status information of the fair-faced concrete component; A recording module for recording the adaptive maintenance operation information of the fair-faced concrete component in the maintenance management module and generating a maintenance message for the fair-faced concrete component based on the maintenance information; A marking module for traversing the maintenance message of the fair-faced concrete component generated in the recording module and performing quality control risk marking on the latest collected global image of the surface of the fair-faced concrete component based on the content of the maintenance message of the fair-faced concrete component.

2. The remote intelligent curing control system for fair - faced concrete according to claim 1, wherein A sensing unit and a camera module are arranged under the collection module. The sensing unit is integrated by a temperature sensor and a humidity sensor. The sensing unit is used for sensing the surface temperature information and humidity information of the fair-faced concrete component, and the camera module is used for real-time collecting the global image of the surface of the fair-faced concrete component at a preset period; The temperature sensor and the humidity sensor are evenly deployed on the surface of the fair-faced concrete component. The adjacent sensors of the temperature sensor are always humidity sensors, and the adjacent spacing of the sensors is equal. The deployment quantities of the temperature sensor and the humidity sensor are not unique and are equal. The deployment quantities of the temperature sensor and the humidity sensor follow that the larger the surface area of the fair-faced concrete component is, the more the deployment quantity is, and vice versa, the less the deployment quantity is; Among them, the status information of the fair-faced concrete component collected by the collection module running is the surface temperature and humidity information and the global image of the fair-faced concrete component. When the collection module stores the status information of the fair-faced concrete component, it is stored separately based on its source, and each group of information is marked with a source timestamp.

3. The remote intelligent curing control system for fair - faced concrete according to claim 1, characterized in that, When the selection module performs segmentation processing on the global image of the fair-faced concrete component surface, the number of segments is set to be no less than 2 2, and it follows that: ； In the formula: is the number of sub-images obtained by dividing each side of the global image of the fair-faced concrete component surface; is the number of humidity sensor deployments; is the number of temperature sensor deployments; is the number of sub-images obtained by segmenting the global image of the fair-faced concrete component surface; Among them, the value is rounded to an integer, and the number of temperature sensors and humidity sensors deployed in the corresponding areas of each divided sub - figure is equal.

4. The remote intelligent maintenance control system for fair - faced concrete according to claim 1, characterized in that, When the selection module selects a sub-image, a reference image is uploaded by the user at the system end. The reference image is a prior image that conforms to the healthy maintenance state of the fair-faced concrete. The reference image is compared with each sub-image for similarity to obtain the sub-image with the highest similarity to the reference image as the selection target and perform the selection operation, which is recorded as the reference image; The similarity comparison logic between the prior image and the sub-image is: ； In the formula: is the similarity between images a and b; are the length and width of the image; is the LBP feature value at the coordinate (i, j) in the LBP feature map obtained after performing local binary pattern processing on images a and b; is the color difference value at the coordinate (i, j) in the color difference map obtained by calculating the color difference of each pixel after converting images a and b to the CIELAB color space; is the structural feature value at the coordinate (i, j) in the structural feature map obtained by processing images a and b using morphological opening and closing operations; Among them, based on the above formula, the prior image is compared with each group of sub-images for similarity to determine the selection target reference image.

5. The remote intelligent maintenance control system for fair-faced concrete according to claim 1, characterized in that, The latest stored status information of the fair-faced concrete component obtained by the query module running corresponds to the status information of the fair-faced concrete component collected by the collection module in its latest operation; During the operation stage of the query module, the state information acquisition device deployed in the corresponding area of the surface of the fair-faced concrete component by selecting the sub-image used as the reference image by the selection module during its operation is taken as the query target, and among the state information of the fair-faced concrete component obtained by the operation of the query module, the state information originating from the query target is taken as the query result of the query module.

6. The remote intelligent curing control system for fair-faced concrete according to claim 1, wherein The maintenance management module is subordinate to a spraying module and a temperature control module. The spraying module is used to spray water mist or curing agent on the fair-faced concrete component, and the temperature control module is used to heat the surface of the fair-faced concrete component. The spraying module and the temperature control module operate synchronously, with the surface area of the fair-faced concrete component corresponding to each sub-image as the processing target. During the operation stage of the maintenance management module, among the state information of the fair-faced concrete component obtained except for the queried state information of the fair-faced concrete component, a set of state information of the fair-faced concrete component is selected, and the temperature and humidity information in this set of state information of the fair-faced concrete component is further obtained. The surface area of the fair-faced concrete component corresponding to this set of state information of the fair-faced concrete component is adaptively regulated through the spraying module and the temperature control module, so that the temperature and humidity of the corresponding surface area of the fair-faced concrete component are changed to be the same as the temperature and humidity information in the queried state information of the fair-faced concrete component.

7. The remote intelligent maintenance control system for fair - faced concrete according to claim 6, characterized in that, During the process of adaptively regulating the temperature and humidity of the corresponding area of each sub-image on the surface of the fair-faced concrete component, an urgency analysis is performed on the corresponding area of each sub-image, and the area corresponding to the sub-image with a higher urgency level is taken as the priority regulation target.

8. The remote intelligent curing control system for fair-faced concrete according to claim 7, characterized in that, The urgency analysis logic of the corresponding area of each sub-image is expressed as: ； Wherein: is the emergency level performance value of the corresponding area of the sub-image; , and are the humidity and temperature of the corresponding area of the sub-image; and are the humidity and temperature of the corresponding area of the sub-image queried by the query module, that is, the regulated target humidity and temperature; and represent taking the maximum value within the brackets; Among them, The larger the value is, the higher the urgency level of the corresponding area of the sub-image is; on the contrary, the lower the urgency level of the corresponding area of the sub-image is.

9. The remote intelligent maintenance control system for fair-faced concrete according to claim 1, wherein The content of the fair-faced concrete component maintenance message generated during the operation stage of the recording module is the adaptive maintenance operation information of the fair-faced concrete component in the maintenance management module. The adaptive maintenance operation information of the fair-faced concrete component in the maintenance management module includes: the surface area of the fair-faced concrete component corresponding to the sub-image pointed to by the operation of the spraying module or the temperature control module; the running time and number of times of the spraying module; the amount of water mist sprayed and the amount of curing agent sprayed during the operation of the spraying module; the running temperature of the temperature control module. During the operation stage of the marking module, a color system is selected as the rendering color, and each sub-image in the global image of the surface of the fair-faced concrete component is used as an independent rendering target, so that the sub-image with a longer cumulative maintenance time and more adaptive maintenance times in the surface area of the fair-faced concrete component corresponding to the sub-image has a darker rendering color, and the sub-image with a shorter cumulative maintenance time and fewer adaptive maintenance times in the surface area of the fair-faced concrete component corresponding to the sub-image has a lighter rendering color.

10. The remote intelligent curing control system for fair-faced concrete according to claim 1, characterized in that, The acquisition module is subordinate to a sensing unit and a camera module connected through wireless network interaction. The acquisition module is connected to the selection module, the query module, and the maintenance management module through wireless network interaction. The maintenance management module is subordinate to a spraying module and a temperature control module connected through wireless network interaction. The maintenance management module is connected to the recording module and the marking module through wireless network interaction.

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