A remote intelligent maintenance control system for plain concrete

Abstract

The present invention discloses a remote intelligent maintenance control system for plain concrete, which relates to the field of building engineering construction. The control system comprises: an acquisition module for acquiring state information of plain concrete components in real time and storing the acquired plain concrete components; a selection module for obtaining a global image of the surface of the plain concrete components in the state information of the plain concrete components, segmenting the global image of the surface of the plain concrete components, and selecting a sub-image from the segmented sub-images as a reference image. The present invention acquires surface temperature, humidity information and a global image of the plain concrete components, stores them separately and marks them with timestamps for easy access at any time. By image segmentation and similarity comparison, a reference area that meets the healthy maintenance state is selected, and the states of different areas are accurately compared, so that the system can, based on this information, simultaneously perform water mist spraying, curing agent spraying or heating operations on different areas of the component surface, thereby realizing adaptive regulation of temperature and humidity.

Description

Technical Field

[0001] The present invention relates to the technical field of building engineering construction, and in particular to a remote intelligent maintenance control system for plain 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 and excellent fire resistance, it is widely used in the construction field.

[0003] The invention patent application with application number 202410961880.2 discloses an intelligent control system for curing concrete products, including: a curing quality analysis module, which is used to place the current batch of concrete products in the target curing shed in sequence, collect the humidity corresponding to each concrete product in each curing area of the target curing shed at each monitoring time point, and collect the ambient temperature of each curing area of the target curing shed, and analyze the curing quality coefficient of the concrete products in each curing area; a curing quality abnormality confirmation module, which is used to record the curing area as the target curing area when the curing quality coefficient of the concrete products in a certain curing area is less than a set value, and confirm the cause of the curing quality abnormality of each target curing area; a solution matching module, which is used to match the corresponding curing quality solution according to the cause of the curing 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 status 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 solution is general, the curing time relies on experience, and is not combined with the surface status, which affects the quality and progress."

[0004] To address 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 curing 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:

[0007] The present invention discloses a remote intelligent maintenance control system for plain concrete, comprising:

[0008] The acquisition module is used to collect the status information of the bare concrete components in real time and store the collected bare concrete components; the selection module is used to obtain the global image of the bare concrete component surface in the bare concrete component status information, segment the global image of the bare concrete component surface, and select a sub-image from the segmented sub-images as a reference image; the query module is used to obtain the latest bare concrete component status information stored in the acquisition module, query the bare concrete component status information of the sub-image selected as the reference image by the selection module; the maintenance management module is used to receive the bare concrete component status information obtained by the query module The concrete component status information and the queried bare concrete component status information are used to perform adaptive maintenance on the bare concrete component with reference to the queried bare concrete component status information and the acquired bare concrete component status information; a recording module is used to record the adaptive maintenance operation information for the bare concrete component in the maintenance management module, and generate a bare concrete component maintenance message based on the maintenance information; an annotation module is used to traverse the bare concrete component maintenance message generated in the recording module, and perform quality control risk annotation on the latest collected global image of the bare concrete component surface based on the content of the bare concrete component maintenance message.

[0009] Furthermore, a sensing unit and a camera module are provided under the acquisition module. The sensing unit is integrated with a temperature sensor and a humidity sensor. The sensing unit is used to sense the surface temperature and humidity information of the bare concrete component. The camera module is used to collect a global image of the surface of the bare concrete component in real time according to a preset period.

[0010] The temperature sensors and humidity sensors are evenly deployed on the surface of the bare concrete component. The adjacent sensors of the temperature sensors are always humidity sensors. The adjacent sensors are spaced equally. The number of deployed temperature sensors and humidity sensors is not unique and is equal. The number of deployed temperature sensors and humidity sensors is determined by the larger the surface area of the bare concrete component, the more they are deployed, and vice versa.

[0011] Among them, the acquisition module collects the status information of the bare concrete components, namely the surface temperature, humidity information and global image of the bare concrete components. When the acquisition module stores the status information of the bare concrete components, it differentiates and stores them based on their sources, and each set of information is marked with a source timestamp.

[0012] Furthermore, when the selection module performs segmentation processing on the global image of the surface of the bare concrete component, the number of segmentations is set to be no less than 2 2. And obey:

[0013] ;

[0014] Where: is the number of sub-images obtained by segmenting each side of the global image of the surface of the bare concrete component; Deploy the number of humidity sensors; Deploy the number of temperature sensors; is the number of sub-images obtained by segmenting the global image of the surface of the bare concrete component;

[0015] in, The values are rounded to the nearest integer, and the number of temperature sensors and humidity sensors deployed in the corresponding areas of each segmented sub-graph is equal.

[0016] Furthermore, when selecting a sub-image, the selection module uploads a reference image by a system user. The reference image is a priori image that meets the healthy curing state of bare concrete. The reference image is used to perform a similarity comparison with each sub-image to obtain the sub-image with the highest similarity to the reference image as the selection target, perform the selection operation, and record it as the reference image.

[0017] The similarity comparison logic between the prior image and the sub-image is:

[0018] ;

[0019] Where: is the similarity between images a and b; is the length and width of the image; The LBP feature value at coordinate (i, j) in the LBP feature map obtained after performing local binary pattern processing on images a and b; After converting images a and b to the CIELAB color space, the color difference value at the coordinate (i, j) in the color difference map obtained by calculating the color difference of each pixel; is the structural feature value at coordinate (i, j) in the structural feature graph obtained by processing images a and b using morphological opening and closing operations;

[0020] Based on the above formula, a similarity comparison is performed between the prior image and each group of sub-images to determine the target reference image.

[0021] Furthermore, the latest state information of the bare concrete component stored in the collection module obtained by the query module corresponds to the latest state information of the bare concrete component collected by the collection module;

[0022] During the query module operation phase, the sub-image selected by the selection module as the reference image is used as the query target for the state information acquisition device deployed in the corresponding area on the surface of the plain concrete component, and the state information of the plain concrete component obtained by the query module, which is derived from the query target, is used as the query result of the query module.

[0023] Furthermore, the maintenance management module is provided with a spraying module and a temperature control module at the lower level. The spraying module is used to spray water mist or curing agent on the plain concrete component, and the temperature control module is used to heat the surface of the plain concrete component.

[0024] The spraying module and the temperature control module operate synchronously, with the surface area of the bare concrete component corresponding to each sub-image being used as the processing target;

[0025] During the operation phase of the maintenance management module, a group of bare concrete component status information is selected from the obtained bare concrete component status information other than the queried bare concrete component status information, and temperature and humidity information in the group of bare concrete component status information is further obtained. The spraying module and the temperature control module adaptively control the surface area of the bare concrete component corresponding to the group of bare concrete component status information so that the temperature and humidity of the corresponding surface area of the bare concrete component are changed to be consistent with the temperature and humidity information in the queried bare concrete component status information.

[0026] Furthermore, during the process of adaptively controlling the temperature and humidity of the areas corresponding to each sub-image on the surface of the bare concrete component, the urgency of each sub-image area is analyzed, and the areas corresponding to the sub-images with high urgency are selected as priority control targets.

[0027] Furthermore, the urgency analysis logic of the area corresponding to each sub-image is expressed as:

[0028] ;

[0029] Where: is the urgency value of the corresponding area of the sub-image; 、 is the humidity and temperature of the area corresponding to the sub-image; 、 The humidity and temperature of the area corresponding to the sub-image queried by the query module, that is, the target humidity and temperature to be controlled; 、 is the weight; 、 Indicates taking the maximum value in the brackets;

[0030] in, The larger the value, the higher the urgency of the area corresponding to the sub-image; conversely, the smaller the value, the lower the urgency of the area corresponding to the sub-image.

[0031] Furthermore, the content of the bare concrete component maintenance message generated during the operation phase of the recording module is the adaptive maintenance operation information for the bare concrete component in the maintenance management module. The adaptive maintenance operation information for the bare concrete component in the maintenance management module includes: the surface area of the bare concrete component corresponding to the sub-image of the spraying module or the temperature control module operation direction; the operation time and number of the spraying module; the spray mist volume and curing dosage of the spraying module; the operating temperature of the temperature control module;

[0032] During the operation phase of the annotation module, a color system is selected as a rendering color, and each sub-image in the global image of the surface of the bare concrete component is used as an independent rendering target, so that the sub-images corresponding to the bare concrete component surface area with more and longer adaptive curing times and cumulative curing time are rendered darker, and the sub-images corresponding to the bare concrete component surface area with fewer and shorter adaptive curing times and cumulative curing time are rendered lighter.

[0033] Furthermore, the acquisition module is interactively connected to a perception unit and a camera module through a wireless network, the acquisition module is interactively connected to a selection module, a query module and a maintenance management module through a wireless network, the maintenance management module is interactively connected to a spray module and a temperature control module through a wireless network, and the maintenance management module is interactively connected to a recording module and a labeling module through a wireless network.

[0034] Compared with the prior art, the technical solution provided by the present invention has the following beneficial effects:

[0035] The present invention provides a remote intelligent curing control system for bare concrete. The system can significantly improve curing effects and management levels during operation. By collecting surface temperature and humidity information and global images of bare concrete components, and storing them separately and marking them with timestamps, the system can facilitate access at any time. Through image segmentation and similarity comparison, reference areas that meet healthy curing conditions are selected, and the conditions of different areas are accurately compared. Based on this information, the system can simultaneously perform water mist spraying, curing agent spraying, or heating operations on different areas of the component surface, thereby achieving adaptive control of temperature and humidity.

[0036] At the same time, by giving priority to emergency areas, the timeliness and effectiveness of maintenance are ensured. In addition, the system will record maintenance operation information in detail, generate maintenance reports, and mark quality control risks on component surface images based on the reports, intuitively presenting the maintenance status of each area, making it easier for management personnel to quickly grasp the overall maintenance progress and quality, effectively ensuring the maintenance quality of fair-faced concrete components, and improving construction efficiency and project quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0038] Figure 1 The diagram is a structural diagram of a remote intelligent maintenance control system for plain concrete. DETAILED DESCRIPTION

[0039] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0040] The present invention will be further described below with reference to the embodiments.

[0041] Example:

[0042] A remote intelligent maintenance control system for plain concrete in this embodiment is as follows: Figure 1 Shown, including:

[0043] The acquisition module is used to collect the status information of the bare concrete components in real time and store the collected bare concrete components;

[0044] The acquisition module is equipped with a sensing unit and a camera module. The sensing unit is integrated with a temperature sensor and a humidity sensor. The sensing unit is used to sense the surface temperature and humidity information of the exposed concrete component. The camera module is used to collect the global image of the exposed concrete component surface in real time according to a preset period.

[0045] Temperature sensors and humidity sensors are evenly deployed on the surface of the bare concrete component. The adjacent sensors of the temperature sensors are always humidity sensors, and the spacing between adjacent sensors is equal. The number of temperature sensors and humidity sensors deployed is not unique and the number is equal. The number of temperature sensors and humidity sensors deployed follows the rule that the larger the surface area of the bare concrete component, the more they are deployed, and vice versa.

[0046] The acquisition module collects the status information of the bare concrete components, namely the surface temperature and humidity information and the global image of the bare concrete components. When the acquisition module stores the status information of the bare concrete components, it differentiates and stores the information based on its source, and each set of information is marked with a source timestamp.

[0047] A selection module is used to obtain a global image of the surface of the bare concrete component in the bare concrete component state information, segment the global image of the surface of the bare concrete component, and select a sub-image from the segmented sub-images as a reference image;

[0048] When selecting a module to segment the global image of the surface of a plain concrete component, set the number of segments to be no less than 2. 2. And obey:

[0049] ;

[0050] Where: is the number of sub-images obtained by segmenting each side of the global image of the surface of the bare concrete component; Deploy the number of humidity sensors; Deploy the number of temperature sensors; is the number of sub-images obtained by segmenting the global image of the surface of the bare concrete component;

[0051] in, The values are rounded to the nearest integer, and the number of temperature sensors and humidity sensors deployed in the corresponding areas of each segmented subgraph is equal;

[0052] The calculation by the above formula supports the segmentation processing of the global image of the surface of the plain concrete component.

[0053] When selecting a sub-image, the selection module uploads a reference image by the system end user. The reference image is a priori image that meets the healthy curing state of bare concrete. The reference image is used to perform similarity comparison with each sub-image to obtain the sub-image with the highest similarity to the reference image as the selection target, perform the selection operation, and record it as the reference image.

[0054] The similarity comparison logic between the prior image and the sub-image is:

[0055] ;

[0056] Where: is the similarity between images a and b; is the length and width of the image; The LBP feature value at coordinate (i, j) in the LBP feature map obtained after performing local binary pattern processing on images a and b; After converting images a and b to the CIELAB color space, the color difference value at the coordinate (i, j) in the color difference map obtained by calculating the color difference of each pixel; is the structural feature value at coordinate (i, j) in the structural feature graph obtained by processing images a and b using morphological opening and closing operations;

[0057] Based on the above formula, the similarity comparison between the prior image and each group of sub-images is performed to determine the target reference image;

[0058] Through the above logic formula, an image similarity calculation logic is further provided, so as to perform similarity comparison on the bare concrete image, and provide support for further operation of the query module of the system in this embodiment.

[0059] The query module is used to obtain the latest state information of the bare concrete component stored in the acquisition module, and the query selection module runs to select the sub-image used as the reference image and the state information of the bare concrete component;

[0060] The latest state information of the bare concrete component stored in the collection module obtained by the query module corresponds to the latest state information of the bare concrete component collected by the collection module;

[0061] During the query module operation phase, the sub-image selected as the reference image by the selection module is used as the query target for the state information acquisition device deployed in the corresponding area on the surface of the bare concrete component, and the state information of the bare concrete component obtained by the query module, which is derived from the query target, is used as the query result of the query module;

[0062] a maintenance management module, configured to receive the bare concrete component status information obtained by the query module and the queried bare concrete component status information, and perform adaptive maintenance on the bare concrete component with reference to the queried bare concrete component status information and the obtained bare concrete component status information;

[0063] The maintenance management module is equipped with a spraying module and a temperature control module. The spraying module is used to spray water mist or curing agent on the plain concrete components, and the temperature control module is used to heat the surface of the plain concrete components.

[0064] The spraying module and temperature control module operate synchronously, with the surface area of the exposed concrete component corresponding to each sub-image as the processing target;

[0065] During the maintenance management module operation phase, a group of bare concrete component status information is selected from the acquired bare concrete component status information other than the queried bare concrete component status information, and temperature and humidity information in the group of bare concrete component status information is further acquired. The spraying module and the temperature control module adaptively control the surface area of the bare concrete component corresponding to the group of bare concrete component status information so that the temperature and humidity of the corresponding surface area of the bare concrete component are consistent with the temperature and humidity information in the queried bare concrete component status information.

[0066] During the adaptive temperature and humidity control process for the areas corresponding to each sub-image on the surface of the exposed concrete component, the urgency of each sub-image area is analyzed, and the areas corresponding to the sub-images with the highest urgency are selected as priority control targets;

[0067] The logic of urgency analysis of the area corresponding to each sub-image is expressed as:

[0068] ;

[0069] Where: is the urgency value of the corresponding area of the sub-image; 、 is the humidity and temperature of the area corresponding to the sub-image; 、 The humidity and temperature of the area corresponding to the sub-image queried by the query module, that is, the target humidity and temperature to be controlled; 、 is the weight; 、 Indicates taking the maximum value in the brackets;

[0070] in, The larger the value, the higher the urgency of the corresponding area of the sub-image; conversely, the lower the urgency of the corresponding area of the sub-image;

[0071] By using the above logic formula, the urgency of the corresponding area of each sub-image is analyzed, making the zoning maintenance process of the exposed concrete more logical.

[0072] A recording module is used to record the adaptive maintenance operation information of the plain concrete components in the maintenance management module and generate a plain concrete component maintenance message based on the maintenance information;

[0073] The content of the bare concrete component curing message generated during the module operation phase is the adaptive curing operation information for the bare concrete component in the curing management module. The adaptive curing operation information for the bare concrete component in the curing management module includes: the surface area of the bare concrete component corresponding to the sub-image of the spraying module or the temperature control module operation direction; the operation time and number of the spraying module; the spray mist volume and curing dosage of the spraying module; and the operating temperature of the temperature control module.

[0074] During the running phase of the annotation module, a color system is selected as the rendering color, and each sub-image in the global image of the surface of the bare concrete component is used as an independent rendering target. The sub-images corresponding to the bare concrete component surface area with more and longer adaptive curing times and cumulative curing time are rendered darker, and the sub-images corresponding to the bare concrete component surface area with fewer and shorter adaptive curing times and cumulative curing time are rendered lighter.

[0075] The annotation module is used to traverse the bare concrete component maintenance message generated in the recording module and perform quality control risk annotation on the latest collected global image of the bare concrete component surface based on the content of the bare concrete component maintenance message;

[0076] The acquisition module is interactively connected to the perception unit and the camera module through a wireless network. The acquisition module is interactively connected to the selection module, the query module and the maintenance management module through a wireless network. The maintenance management module is interactively connected to the spray module and the temperature control module through a wireless network. The maintenance management module is interactively connected to the recording module and the annotation module through a wireless network.

[0077] In this embodiment, the acquisition module operates to collect the status information of the plain concrete component in real time and stores the collected plain concrete component. The sensing unit synchronously senses the surface temperature information and humidity information of the plain concrete component. The camera module collects the global image of the surface of the plain concrete component in real time according to a preset period. The selection module operates post-processing to obtain the global image of the surface of the plain concrete component in the status information of the plain concrete component, segments the global image of the surface of the plain concrete component, selects a sub-image from the segmented sub-images as a reference image, and the query module further obtains the latest stored plain concrete component status information in the acquisition module. The query selection module operates to select the sub-image as the reference image, and the plain concrete component status information to which it belongs is received by the maintenance management module. The query module obtains the status information of the bare concrete components and the queried status information of the bare concrete components, and adaptively maintains the bare concrete components with reference to the queried status information of the bare concrete components and the obtained status information of the bare concrete components. The spraying module sprays water mist or curing agent to the bare concrete components in real time, or heats the surface of the bare concrete components through the temperature control module. The recording module then records the adaptive maintenance operation information of the bare concrete components in the maintenance management module, and generates a bare concrete component maintenance message based on the maintenance information. Finally, the annotation module traverses the bare concrete component maintenance message generated in the recording module, and performs quality control risk annotation on the latest collected global image of the bare concrete component surface based on the content of the bare concrete component maintenance message.

[0078] Through the operation of the system in the above embodiment, the construction of plain concrete is assisted, and the plain concrete components are more intelligently monitored from multiple aspects, ensuring that the plain concrete components can continue to solidify in the best environment and the quality of the plain concrete components is guaranteed.

[0079] It should be noted that, in the operation phase of the maintenance management module in this embodiment, during the adaptive maintenance of the plain concrete, the integrated equipment of the spraying module and the temperature control module can be operated by manual control. During the operation phase, the position coordinates of the surface area of each sub-image corresponding to the component are located in the segmentation result of the global image of the plain concrete component surface, thereby providing effective support and guidance for users who carry out the maintenance work of the plain concrete components.

[0080] In summary, the system in the above embodiment can significantly improve the maintenance effect and management level during operation. By collecting the surface temperature, humidity information and global image of the plain concrete components, and distinguishing and storing them with timestamps, it is easy to check at any time. Through image segmentation and similarity comparison, the reference area that meets the healthy maintenance status is selected, and the status of different areas is accurately compared, so that the system can, based on this information, simultaneously perform water mist spraying, curing agent spraying or heating operations on different areas of the component surface to achieve adaptive regulation of temperature and humidity. At the same time, by giving priority to emergency areas, the timeliness and effectiveness of maintenance are ensured. In addition, the system will also record the maintenance operation information in detail, generate maintenance messages, and mark the quality control risk of the component surface image based on the messages, intuitively presenting the maintenance status of each area, so that management personnel can quickly grasp the overall maintenance progress and quality, effectively ensure the maintenance quality of plain concrete components, and improve construction efficiency and project quality.

[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A remote intelligent maintenance control system for plain concrete, characterized in that: include: The acquisition module is used to collect the status information of the bare concrete components in real time and store the collected bare concrete components; A selection module is used to obtain a global image of the surface of the bare concrete component in the bare concrete component state information, segment the global image of the surface of the bare concrete component, and select a sub-image from the segmented sub-images as a reference image; When selecting a sub-image, the selection module uploads a reference image by a system user. The reference image is a priori image that meets the healthy curing state of bare concrete. The reference image is used to perform a similarity comparison 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, which is recorded as the reference image. The similarity comparison logic between the prior image and the sub-image is: ； Where: is the similarity between images a and b; is the length and width of the image; The LBP feature value at coordinate (i, j) in the LBP feature map obtained after performing local binary pattern processing on images a and b; After converting images a and b to the CIELAB color space, the color difference value at the coordinate (i, j) in the color difference map obtained by calculating the color difference of each pixel; is the structural feature value at coordinate (i, j) in the structural feature graph obtained by processing images a and b using morphological opening and closing operations; Based on the above formula, the similarity comparison between the prior image and each group of sub-images is performed to determine the target reference image; The query module is used to obtain the latest state information of the bare concrete component stored in the acquisition module, and the query selection module runs to select the sub-image used as the reference image and the state information of the bare concrete component; a maintenance management module, configured to receive the bare concrete component status information obtained by the query module and the queried bare concrete component status information, and perform adaptive maintenance on the bare concrete component with reference to the queried bare concrete component status information and the obtained bare concrete component status information; A recording module is used to record the adaptive maintenance operation information of the plain concrete components in the maintenance management module and generate a plain concrete component maintenance message based on the maintenance information; The annotation module is used to traverse the bare concrete component maintenance message generated in the recording module, and perform quality control risk annotation on the latest collected global image of the bare concrete component surface based on the content of the bare concrete component maintenance message.

2. A remote intelligent maintenance control system for bare concrete according to claim 1, characterized in that: A sensing unit and a camera module are provided under the acquisition module. The sensing unit is integrated with a temperature sensor and a humidity sensor. The sensing unit is used to sense the surface temperature and humidity information of the bare concrete component. The camera module is used to collect a global image of the surface of the bare concrete component in real time according to a preset period. The temperature sensors and humidity sensors are evenly deployed on the surface of the bare concrete component. The adjacent sensors of the temperature sensors are always humidity sensors. The adjacent sensors are spaced equally. The number of deployed temperature sensors and humidity sensors is not unique and is equal. The number of deployed temperature sensors and humidity sensors is determined by the larger the surface area of the bare concrete component, the more they are deployed, and vice versa. Among them, the acquisition module collects the status information of the bare concrete components, namely the surface temperature, humidity information and global image of the bare concrete components. When the acquisition module stores the status information of the bare concrete components, it differentiates and stores them based on their sources, and each set of information is marked with a source timestamp.

3. The remote intelligent maintenance control system for bare concrete according to claim 1, characterized in that: When the selection module performs segmentation processing on the global image of the surface of the plain concrete component, the number of segmentations is set to be no less than 2 2. And obey: ； Where: is the number of sub-images obtained by segmenting each side of the global image of the surface of the bare concrete component; Deploy the number of humidity sensors; Deploy the number of temperature sensors; is the number of sub-images obtained by segmenting the global image of the surface of the bare concrete component; in, The values are rounded to the nearest integer, and the number of temperature sensors and humidity sensors deployed in the corresponding areas of each segmented sub-graph is equal.

4. The remote intelligent maintenance control system for bare concrete according to claim 1, characterized in that: The latest stored state information of the bare concrete component in the acquisition module obtained by the query module corresponds to the latest state information of the bare concrete component acquired by the acquisition module; During the query module operation phase, the sub-image selected by the selection module as the reference image is used as the query target for the state information acquisition device deployed in the corresponding area on the surface of the plain concrete component, and the state information of the plain concrete component obtained by the query module, which is derived from the query target, is used as the query result of the query module.

5. The remote intelligent maintenance control system for bare concrete according to claim 1, characterized in that: The maintenance management module is provided with a spraying module and a temperature control module at the lower level. The spraying module is used to spray water mist or curing agent on the plain concrete component, and the temperature control module is used to heat the surface of the plain concrete component. The spraying module and the temperature control module operate synchronously, with the surface area of the bare concrete component corresponding to each sub-image being used as the processing target; During the operation phase of the maintenance management module, a group of bare concrete component status information is selected from the obtained bare concrete component status information other than the queried bare concrete component status information, and temperature and humidity information in the group of bare concrete component status information is further obtained. The spraying module and the temperature control module adaptively control the surface area of the bare concrete component corresponding to the group of bare concrete component status information so that the temperature and humidity of the corresponding surface area of the bare concrete component are changed to be consistent with the temperature and humidity information in the queried bare concrete component status information.

6. A remote intelligent maintenance control system for bare concrete according to claim 5, characterized in that: During the adaptive temperature and humidity control of the areas corresponding to each sub-image on the surface of the bare concrete component, the urgency of each sub-image area is analyzed, and the areas corresponding to the sub-images with high urgency are selected as priority control targets.

7. A remote intelligent maintenance control system for bare concrete according to claim 6, characterized in that: The logic of the urgency analysis of the area corresponding to each sub-image is expressed as follows: ； Where: is the urgency value of the corresponding area of the sub-image; 、 is the humidity and temperature of the area corresponding to the sub-image; 、 The humidity and temperature of the area corresponding to the sub-image queried by the query module, that is, the target humidity and temperature to be controlled; 、 is the weight; 、 Indicates taking the maximum value in the brackets; in, The larger the value, the higher the urgency of the area corresponding to the sub-image; conversely, the smaller the value, the lower the urgency of the area corresponding to the sub-image.

8. The remote intelligent maintenance control system for bare concrete according to claim 1, characterized in that: The content of the bare concrete component maintenance message generated by the recording module during the operation phase is the adaptive maintenance operation information for the bare concrete component in the maintenance management module, and the adaptive maintenance operation information for the bare concrete component in the maintenance management module includes: the surface area of the bare concrete component corresponding to the sub-image of the spraying module or the temperature control module operation direction; the operation time and number of the spraying module; the spray mist volume and curing dosage of the spraying module; and the operating temperature of the temperature control module; During the operation phase of the annotation module, a color system is selected as a rendering color, and each sub-image in the global image of the surface of the bare concrete component is used as an independent rendering target, so that the sub-images corresponding to the bare concrete component surface area with more and longer adaptive curing times and cumulative curing time are rendered darker, and the sub-images corresponding to the bare concrete component surface area with fewer and shorter adaptive curing times and cumulative curing time are rendered lighter.

9. The remote intelligent maintenance control system for bare concrete according to claim 1, characterized in that: The acquisition module is interactively connected to a sensing unit and a camera module via a wireless network. The acquisition module is interactively connected to a selection module, a query module and a maintenance management module via a wireless network. The maintenance management module is interactively connected to a spray module and a temperature control module via a wireless network. The maintenance management module is interactively connected to a recording module and a labeling module via a wireless network.

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