ESG-based temperature control floor tile environment-friendly evaluation realization method and system

Abstract

The invention relates to the technical field of urban governance, in particular to an ESG-based temperature control floor tile environment-friendly evaluation implementation method and system. The method comprises the following steps: S1, respectively acquiring a sidewalk cleanliness sample image and a floor tile damage degree sample image; s2, respectively establishing a sidewalk cleanliness initial model and a floor tile damage detection initial model; training the sidewalk cleanliness initial model by using the sidewalk cleanliness sample image to obtain a sidewalk cleanliness model; the floor tile damage degree sample image is adopted to train the floor tile damage detection initial model, and a floor tile damage detection model is obtained; s3, acquiring a field picture of the sidewalk; and S4, respectively inputting the field pictures into a sidewalk cleanliness model and a floor tile damage detection model to obtain a sidewalk cleanliness identification grade and a floor tile damage number, and outputting an environment-friendly evaluation result based on the sidewalk cleanliness identification grade and the floor tile damage degree, so that the environment-friendly evaluation result can be made according to the actual condition of the sidewalk floor tiles.

Description

Technical Field

[0001] This invention relates to the field of urban governance technology, specifically to a method and system for implementing environmentally friendly evaluation of temperature-controlled paving bricks based on ESG. Background Technology

[0002] Currently, major cities are successively carrying out ESG (Environmental, Social, and Governance) assessments, with a focus on environmental friendliness assessments in the field of urban governance technology. Sidewalks, as important spaces for residents' travel and recreation, are a key focus of ESG. However, sidewalks currently lack intelligent monitoring and management methods. Furthermore, given the frequent occurrence of extreme weather events, citizens urgently need sidewalk management systems with automatic temperature control to meet their needs for temperature-controlled travel in different weather conditions.

[0003] Existing sidewalk paving stones are mostly made of ordinary materials, which cannot be stably and adaptively controlled according to ambient temperature. The structure and design of these paving stones need to be updated to achieve controllable and adjustable temperature. Simultaneously, a more intelligent sidewalk monitoring and management system needs to be established, incorporating artificial intelligence algorithms to intelligently identify and regularly assess key ESG concerns such as cleanliness and damage. These diverse needs necessitate technological innovation and integrated applications to meet the demands of citizens for high-quality travel, urban renewal, and the refined governance of megacities. Summary of the Invention

[0004] The present invention aims to provide an ESG-based method and system for environmentally friendly evaluation of temperature-controlled paving tiles, which can make environmentally friendly evaluation results based on the actual conditions of sidewalk paving tiles.

[0005] To address the aforementioned technical problems, the present invention provides the following technical solution: In a first aspect, the present invention provides a method for evaluating the environmental friendliness of temperature-controlled floor tiles based on ESG, comprising the following steps: S1: Obtain sample images of sidewalk cleanliness and paving tile damage, respectively; S2: Establish initial models for sidewalk cleanliness and paving tile damage detection respectively; train the initial model for sidewalk cleanliness using sample images of sidewalk cleanliness to obtain the sidewalk cleanliness model; train the initial model for paving tile damage detection using sample images of paving tile damage to obtain the paving tile damage detection model. S3: Obtain on-site photos of the sidewalk; S4: Input the on-site images into the sidewalk cleanliness model and the paving tile damage detection model respectively to obtain the sidewalk cleanliness identification level and the number of paving tiles damaged. Based on the sidewalk cleanliness identification level and the paving tile damage level, output the environmental friendliness evaluation result.

[0006] By adopting the above technical solution, when an environmentally friendly assessment of the actual condition of sidewalk paving stones is required, simply input real-time images of the sidewalk into the trained sidewalk cleanliness model and paving stone damage detection model, respectively. The sidewalk cleanliness model and the paving stone damage detection model will then output the sidewalk cleanliness level and the number of damaged paving stones, respectively. By assigning different weights to these two models, an environmentally friendly assessment result can be generated, facilitating technological innovation and integrated applications to meet the needs of citizens for high-quality travel, urban renewal, and the refined governance of megacities.

[0007] Optionally, the initial model for sidewalk cleanliness employs a ResNet50 convolutional neural network.

[0008] Optionally, training the initial sidewalk cleanliness model using sidewalk cleanliness sample images to obtain the sidewalk cleanliness model includes: Define the hyperparameter numerical search space, and define the possible range of values ​​for learning rate and batch size as the solution space range of IWOA; The initial population is set up, and the learning rate and batch size are randomly generated within the solution space to form the initial solution. A crossover and mutation module is added, and different populations are crossovered to obtain a new total population. in, Representing the The first of the fathers Wei Zidai; Representing the The first of the fathers Wei Zidai; , Represents a random number between [0, 1]; , Representing a random number between [-1, 1], a new whale population is obtained. ; Optimize convergence factor for: Perform fitness evaluation, calculating the optimal solution and historical best solution for each parameter combination in the current iteration round. The fitness of the solution is used to select the solution with the best fitness as the new historical best solution. Perform WOA optimization by adjusting the learning rate and batch size to find the optimal solution.

[0009] The optimal parameter solution for the sidewalk cleanliness model is determined. When the number of iterations or fitness reaches the set conditions, the iteration is terminated, and the current optimal solution is used as the final parameter combination.

[0010] Optionally, the initial model for detecting tile damage is YOLOv8.

[0011] Optionally, the time interval for acquiring on-site images of the sidewalk is 1 hour, and image enhancement is performed.

[0012] Optionally, S4 includes: Calculate the environmental friendliness characteristic value Y: Y = a1F(X1) + a2G(X2) Where a1 and a2 represent weight values, a1+a2=1; F(X1) and G(X2) represent feature transformation functions; X1 represents the sidewalk cleanliness identification level; and X2 represents the number of broken paving stones.

[0013] Optionally, the method for implementing environmentally friendly evaluation of temperature-controlled paving tiles based on ESG also includes: displaying the sidewalk cleanliness identification level, the number of broken paving tiles, and the environmentally friendly evaluation results.

[0014] Optionally, the method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG also includes: acquiring the real-time temperature of the temperature-controlled floor tiles, heating or cooling the temperature-controlled floor tiles, and realizing temperature regulation of the temperature-controlled floor tiles.

[0015] In a second aspect, the present invention provides an ESG-based temperature-controlled floor tile environmental friendliness assessment implementation device, used to implement the ESG-based temperature-controlled floor tile environmental friendliness assessment implementation method as described in the first aspect, comprising: an intelligent assessment module, a storage module, an image acquisition device, a central control display device, a temperature monitoring device, a heating and cooling device, a water pipe valve, a constant temperature water supply pipe, and temperature-controlled floor tiles; The intelligent evaluation module is electrically connected to the storage module, the image acquisition device, and the central control display device. The central control display device is connected to the temperature monitoring device, the heating and cooling device, and the water pipe valve. Temperature-controlled floor tiles are laid on the ground. One end of the water pipe valve is connected to the heating and cooling device, and the other end is connected to one end of the constant temperature water supply pipe. The other end of the constant temperature water supply pipe is connected to the heating and cooling device. The constant temperature water supply pipe passes through the temperature-controlled floor tiles, and the temperature monitoring device is installed on the temperature-controlled floor tiles.

[0016] In summary, the present invention has at least the following beneficial technical effects: This invention simply requires inputting real-time images of the sidewalk into a pre-trained sidewalk cleanliness model and a paving tile damage detection model. The two models then output the sidewalk cleanliness rating and the number of damaged paving tiles, respectively. By assigning different weights to these two models, an environmental friendliness assessment can be generated, facilitating technological innovation and integrated applications to meet the needs of citizens for high-quality travel, urban renewal, and the refined governance of megacities. Attached Figure Description

[0017] Figure 1 This is a flowchart illustrating the ESG-based method for evaluating the environmental friendliness of temperature-controlled floor tiles in this invention. Figure 2 This is a schematic diagram of the ESG-based temperature-controlled floor tile environmental friendliness evaluation system in an embodiment of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0019] The terminology used in the following embodiments of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification and appended claims of the present invention, the singular expressions “a,” “an,” “the,” “the,” “the,” and “this” are intended to include the plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in the present invention refers to and includes any or all possible combinations of one or more of the listed items. The terms “first” and “second” are used for descriptive purposes only and should not be construed as implying or suggesting relative importance or implicitly indicating the number of indicated technical features. Thus, a feature defined as “first” or “second” may explicitly or implicitly include one or more of that feature, and in the description of the embodiments of the present invention, unless otherwise stated, “a plurality” means two or more.

[0020] This invention provides a method for evaluating the environmental friendliness of temperature-controlled floor tiles based on ESG.

[0021] refer to Figure 1 An ESG-based method for evaluating the environmental friendliness of temperature-controlled floor tiles includes the following steps: S1: Obtain sample images of sidewalk cleanliness and paving tile damage, respectively.

[0022] The intelligent evaluation module acquires sample images of sidewalk cleanliness and paving tile damage from the imported storage module.

[0023] The sidewalk cleanliness sample images consist of 500 images, divided into four levels: severely unclean, unclean, clean, and very clean, and labeled as 1, 2, 3, and 4 respectively. 80% of the samples are used as the training set and 20% as the validation set.

[0024] The sample images of the tile damage level consist of 500 images, including 100 images of damaged tiles and 400 images of undamaged tiles. The tile damage level sample images are labeled using Labellmg and divided into two categories: damaged and normal.

[0025] S2: Establish initial models for sidewalk cleanliness and paving tile damage detection respectively; train the initial model for sidewalk cleanliness using sample images of sidewalk cleanliness to obtain the sidewalk cleanliness model; train the initial model for paving tile damage detection using sample images of paving tile damage to obtain the paving tile damage detection model.

[0026] The initial model for sidewalk cleanliness uses a ResNet50 convolutional neural network, which contains multiple convolutional layers, pooling layers, and fully connected layers. The learning rate and batch size are determined by an improved Whale Optimization Algorithm (IWOA).

[0027] First, we define the hyperparameter numerical search space, and define the possible range of values ​​for the learning rate and the number of batch samples as the solution space range of IWOA.

[0028] Then, an initial population is set up, and the learning rate and batch sample size are randomly generated within the solution space to form the initial solution. At the same time, a crossover and mutation module is added, and different populations can be crossovered to obtain a new total population.

[0029] in, Representing the The first of the fathers Wei Zidai; Representing the The first of the fathers Wei Zidai; , Represents a random number between [0, 1]; , Representing a random number between [-1, 1], a new whale population is obtained. .

[0030] Simultaneously optimize the convergence factor. In the traditional algorithm, the convergence factor is: A = 2 - 2 * t / T Where t represents the current iteration number and T represents the maximum iteration number, linear decay convergence is slow, while the new convergence factor in this application... for: The maximum number of iterations is set to 100.

[0031] Then, fitness evaluation is performed, calculating the optimal solution and historical best solution for each parameter combination in the current iteration. The fitness of the solution is used to select the solution with the best fitness as the new historical best solution.

[0032] Then, WOA optimization is performed to adjust the values ​​of learning rate and batch size to find the optimal solution.

[0033] Finally, the optimal parameter solution of the sidewalk cleanliness model is determined. When the number of iterations or fitness reaches the set conditions, the iteration is terminated, and the current optimal solution is used as the final parameter combination.

[0034] The initial model for detecting tile damage was YOLOv8.

[0035] S3: Obtain on-site photos of the sidewalk.

[0036] The image acquisition device captures on-site images of the sidewalk at an interval of 1 hour, and stores them in JPEG format. The images are then imported into a Python program that calls the TachyonRenderer algorithm in the Ovito module to perform high-definition image enhancement before sending them to the intelligent evaluation module.

[0037] S4: Input the on-site images into the sidewalk cleanliness model and the paving tile damage detection model respectively to obtain the sidewalk cleanliness identification level and the number of paving tiles damaged. Based on the sidewalk cleanliness identification level and the paving tile damage level, output the environmental friendliness evaluation result.

[0038] The intelligent evaluation module inputs on-site images into the sidewalk cleanliness model and outputs the sidewalk cleanliness recognition level X1. It also inputs on-site images into the paving tile damage detection model to calculate the paving tile damage degree in the on-site images, obtaining the number of damaged paving tiles X2.

[0039] Then, the environmental friendliness characteristic value Y is calculated: Y = a1F(X1) + a2G(X2) Where a1 and a2 represent weight values, a1+a2=1; F(X1) and G(X2) represent feature transformation functions.

[0040] When X1 is 1 / 2 / 3 / 4, F(X1) scores are 20 / 40 / 80 / 100 respectively; when X2 is 5 or above / 4 / 3 / 2 / 1 and 0, F(X1) scores are 20 / 40 / 60 / 80 / 100 respectively. Finally, the environmental friendliness feature value Y is output. The evaluation interval can be flexibly set as needed, such as once a week or once a month, and the environmental friendliness evaluation results are output.

[0041] The ESG-based method for evaluating the environmental friendliness of temperature-controlled paving tiles also includes displaying information such as the cleanliness level of the sidewalk, the number of broken paving tiles, and the environmental friendliness evaluation results through a central control display device.

[0042] The ESG-based method for environmentally friendly evaluation of temperature-controlled floor tiles also includes: a temperature monitoring device to obtain the real-time temperature of the temperature-controlled floor tiles, and a heating and cooling device to heat or cool the water in the constant temperature water pipe inside the temperature-controlled floor tiles, thereby achieving temperature regulation of the temperature-controlled floor tiles.

[0043] This invention also provides an ESG-based environmentally friendly evaluation system for temperature-controlled floor tiles.

[0044] refer to Figure 2 The ESG-based temperature-controlled floor tile environmental friendliness evaluation system includes: an intelligent evaluation module, a storage module, an image acquisition device, a central control display device, a temperature monitoring device, a heating and cooling device, water pipe valves, a constant temperature water supply pipe, a temperature-controlled floor tile mounting bracket, and temperature-controlled floor tiles.

[0045] The intelligent evaluation module consists of a CPU, which is connected to a storage module, an image acquisition device, and electrical connections. The central control display device is connected to water pipe valves, a temperature monitoring device, and a heating / cooling device. Temperature-controlled floor tile mounting brackets are laid on the ground, and the temperature-controlled floor tiles are installed on these brackets. One end of the water pipe valve is connected to the heating / cooling device, and the other end is connected to one end of a constant-temperature water supply pipe. The other end of the constant-temperature water supply pipe is connected to the heating / cooling device, forming a heating / cooling circuit. There can be one or more heating / cooling circuits.

[0046] Specifically, the temperature-controlled floor tile mounting bracket is a square metal frame that can be connected in parallel. Multiple brackets are connected by bolts and nuts. The temperature-controlled floor tiles are arranged on top of the brackets. An elastic rubber sealing strip is provided on the center of the top of each bracket. Rotating lifting feet are located at the four corners of the bottom of the brackets, allowing for manual height adjustment and ensuring close contact with the ground. During installation, asbestos fiber insulation is placed inside the brackets. The temperature-controlled floor tiles have a square structure with a circular hollow channel in the center and an arched bottom. A constant-temperature water supply pipe passes through this circular hollow channel.

[0047] The thermostatic water supply pipe is a circular pipe made of PB floor heating pipe. The water pipe valve opens or closes after receiving an open or close signal sent by the intelligent evaluation module.

[0048] The temperature monitoring device is a thermometer, which is installed on the surface of the temperature-controlled floor tile. It collects the temperature data of the surface of the temperature-controlled floor tile and transmits the temperature data signal to the central control display device to display the temperature data.

[0049] The heating and cooling device consists of an electric chiller and an electric water heater. When the electric chiller is in use, the electric water heater is turned off, and when the electric water heater is in use, the electric chiller is turned off.

[0050] The central control display device consists of an LCD screen, a support column, and a CPU. The LCD screen is installed on the top of the support column. After entering the login account and password, the operation interface is accessed. The operation interface can display the output evaluation results of the intelligent evaluation module. The operation interface can select the range of floor tiles that need to be temperature controlled and send open or close signals to the water valve of the constant temperature water supply pipe to realize intelligent control of the designated area. The operation interface can set a temperature threshold. When the received temperature value exceeds the set temperature threshold, the working status of the heating and cooling device is controlled.

[0051] The various variations and specific examples of the methods provided in the above embodiments are also applicable to the ESG-based temperature-controlled floor tile environmental friendliness assessment implementation system of this embodiment. Through the foregoing detailed description of the ESG-based temperature-controlled floor tile environmental friendliness assessment implementation method, those skilled in the art can clearly understand the implementation method of the ESG-based temperature-controlled floor tile environmental friendliness assessment implementation system of this embodiment. For the sake of brevity, it will not be described in detail here.

[0052] The above description of the embodiments is only used to provide a detailed introduction to the technical solution of the present invention. However, the description of the above embodiments is only for the purpose of helping to understand the method and core idea of ​​the present invention, and should not be construed as a limitation of the present invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be covered within the protection scope of the present invention.

Claims

1. A method for evaluating the environmental friendliness of temperature-controlled floor tiles based on ESG, characterized in that, Includes the following steps: S1: Obtain sample images of sidewalk cleanliness and paving tile damage, respectively; S2: Establish initial models for sidewalk cleanliness and paving tile damage detection respectively; train the initial model for sidewalk cleanliness using sidewalk cleanliness sample images to obtain the sidewalk cleanliness model; train the initial model for paving tile damage detection using paving tile damage sample images to obtain the paving tile damage detection model. S3: Obtain on-site photos of the sidewalk; S4: Input the on-site images into the sidewalk cleanliness model and the paving tile damage detection model respectively to obtain the sidewalk cleanliness identification level and the number of paving tiles damaged. Based on the sidewalk cleanliness identification level and the paving tile damage level, output the environmental friendliness evaluation result.

2. The method for environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 1, characterized in that, The initial model for sidewalk cleanliness uses a ResNet50 convolutional neural network.

3. The method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 2, characterized in that, The process of training an initial sidewalk cleanliness model using sample images of sidewalk cleanliness to obtain the sidewalk cleanliness model includes: Define the hyperparameter numerical search space, and define the possible range of values ​​for learning rate and batch size as the solution space range of IWOA; The initial population is set up, and the learning rate and batch size are randomly generated within the solution space to form the initial solution. A crossover and mutation module is added, and different populations are crossovered to obtain a new total population. in, Representing the The first of the fathers Wei Zidai; Representing the The first of the fathers Wei Zidai; , Represents a random number between [0, 1]; , Representing a random number between [-1, 1], a new whale population is obtained. ; Optimize convergence factor for: Perform fitness evaluation, calculating the optimal solution and historical best solution for each parameter combination in the current iteration round. The fitness of the solution is used to select the solution with the best fitness as the new historical best solution. Perform WOA optimization by adjusting the learning rate and batch size to find the optimal solution. The optimal parameter solution for the sidewalk cleanliness model is determined. When the number of iterations or fitness reaches the set conditions, the iteration is terminated, and the current optimal solution is used as the final parameter combination.

4. The method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 1, characterized in that, The initial model for detecting tile damage was YOLOv8.

5. The method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 1, characterized in that, The time interval for acquiring on-site images of the sidewalk is 1 hour, and image enhancement is performed.

6. The method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 1, characterized in that, S4 includes: Calculate the environmental friendliness characteristic value Y: Y = a1F(X1) + a2G(X2) Where a1 and a2 represent weight values, a1+a2=1; F(X1) and G(X2) represent feature transformation functions; X1 represents the sidewalk cleanliness identification level; and X2 represents the number of broken paving stones.

7. The method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 1, characterized in that, Also includes: The results of the sidewalk cleanliness rating, the number of broken paving stones, and the environmental friendliness assessment are displayed.

8. The method for implementing environmentally friendly evaluation of temperature-controlled floor tiles based on ESG as described in claim 1, characterized in that, Also includes: The system obtains the real-time temperature of the temperature-controlled floor tiles and heats or cools them to achieve temperature regulation.

9. A device for evaluating the environmental friendliness of temperature-controlled floor tiles based on ESG, characterized in that, The method for implementing an ESG-based environmentally friendly evaluation method for temperature-controlled floor tiles as described in any one of claims 1-8 includes: an intelligent evaluation module, a storage module, an image acquisition device, a central control display device, a temperature monitoring device, a heating and cooling device, water pipe valves, a constant temperature water supply pipe, and temperature-controlled floor tiles. The intelligent evaluation module is electrically connected to the storage module, the image acquisition device, and the central control display device. The central control display device is connected to the temperature monitoring device, the heating and cooling device, and the water pipe valve. Temperature-controlled floor tiles are laid on the ground. One end of the water pipe valve is connected to the heating and cooling device, and the other end is connected to one end of the constant temperature water supply pipe. The other end of the constant temperature water supply pipe is connected to the heating and cooling device. The constant temperature water supply pipe passes through the temperature-controlled floor tiles, and the temperature monitoring device is installed on the temperature-controlled floor tiles.

Images