Intelligent city updating design system and method

Abstract

The invention relates to the technical field of city design, in particular to an intelligent city updating design system and method. The system comprises a collection processing unit, an analysis classification unit, an early warning maintenance unit and an intelligent management unit, and the intelligent management unit is used for receiving collected data, preprocessed data and analyzed data, and performing intelligent decision making on the collected data, the preprocessed data and the analyzed data. The intelligent decision can improve the playing environment of tourists in the shopping mall, the garbage can overflow and peculiar smell problems are reduced according to the intelligent decision arrangement and garbage collection time, a cleaner, neat and sanitary environment is created in the shopping mall, meanwhile, the intelligent decision can also provide convenient garbage recycling and processing services, and the intelligent decision is more intelligent. And a more convenient and comfortable playing environment is provided for tourists.

Description

Technical Field

[0001] The present invention relates to the technical field of urban design, and in particular to an intelligent urban renewal design system and method. Background Art

[0002] At present, with the development of smart cities, garbage management has begun to be implemented slowly, and trash cans are also developing towards "intelligentization". Traditional trash cans have also been transformed into convenient and closed smart trash cans with the help of technology. However, most shopping malls still use traditional trash cans, and there are only recyclable and non-recyclable trash cans. At the same time, most tourists do not know whether the garbage is recyclable or non-recyclable, and whether it is harmful to the environment. This not only increases the landfill and incineration of garbage, but also greatly increases the negative impact on the environment.

[0003] When there are a large number of tourists in the mall, there will be a lot of garbage, and when the capacity of the trash can is small, garbage will overflow and there will be odor. In order not to affect the tourists in the mall, we can only notify the staff to clean up in time, but this greatly reduces the tourists' experience. Therefore, we proposed a smart city renewal design system and method. Summary of the invention

[0004] The purpose of the present invention is to provide a smart city renewal design system and method to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, one of the objects of the present invention is to provide an intelligent city renewal design system, including a collection and processing unit, an analysis and classification unit, an early warning and maintenance unit, and an intelligent management unit; The collection and processing unit is used to receive the collected data and perform preprocessing operations on the collected data; The analysis and classification unit is used to receive the collected data and the data after the preprocessing operation, classify the data after the preprocessing operation into garbage, and then perform data analysis on the collected data and the data after the preprocessing operation; The early warning maintenance unit is used to receive the collected data, the data after data analysis, and trigger the early warning function; The intelligent management unit is used to receive the collected data, the pre-processed data, and the data after data analysis, and to make intelligent decisions on the collected data, the pre-processed data, and the data after data analysis, and to perform energy-saving management according to the intelligent decisions; The intelligent management unit is used to receive the collected data, the data after preprocessing operations, and the data after data analysis, and to make intelligent decisions on the collected data, the data after preprocessing operations, and the data after data analysis, and to perform energy-saving management based on the intelligent decisions.

[0006] As a further improvement of the technical solution, the collection and processing unit includes a data collection module and a data preprocessing module; The data collection module is used to receive the collected data and transfer the collected data to the data preprocessing module; The data preprocessing module is used to receive the data and perform preprocessing operations on the received data, and transmit the preprocessed data to the analysis and classification unit.

[0007] As a further improvement of the technical solution, the analysis and classification unit includes a garbage classification module and a data analysis module; The garbage classification module is used to receive the data after the preprocessing operation in the data preprocessing module, and perform garbage classification on the data after the preprocessing operation; The data analysis module is used to receive the data collected by the data collection module, receive the data pre-processed by the data pre-processing module, and perform big data analysis on the collected data and the data pre-processed to analyze whether the filling degree of the trash bin exceeds the threshold, using the filling degree detection algorithm in the periodic detection, and at the same time, transmit the data after big data analysis to the early warning maintenance unit; Mathematical formula of filling degree detection algorithm: ; in, is the filling level of the trash can, Refers to the total weight in the trash can at the current moment. is the initial weight of the trash can after it is emptied, Refers to the volume that a trash can can hold.

[0008] As a further improvement of the present technical solution, the early warning maintenance unit is used to receive the data collected in the data collection module, receive the data after big data analysis in the data analysis module, and trigger the early warning function.

[0009] As a further improvement of the technical solution, the intelligent management unit includes an intelligent decision-making module and an energy-saving management module; The intelligent decision-making module is used to receive the data collected in the data collection module, receive the data after preprocessing in the data preprocessing module, receive the data after big data analysis in the data analysis module, and make intelligent decisions on the collected data, the data after preprocessing, and the data after big data analysis, and transfer the data after intelligent decision to the energy-saving management module; The energy-saving management module is used to receive data after intelligent decision-making and perform energy-saving management according to the data after intelligent decision-making.

[0010] As a further improvement of the present technical solution, the intelligent decision-making module is used to receive the data collected in the data collection module, receive the data after preprocessing operations in the data preprocessing module, receive the data after big data analysis in the data analysis module, and make intelligent decisions on the collected data, the data after preprocessing operations, and the data after big data analysis, and transmit the data after the intelligent decision to the energy-saving management module, and the energy-saving management module performs energy-saving management based on the data after the intelligent decision.

[0011] A second object of the present invention is to provide a method for operating the smart city renewal design system as described in any one of the above, comprising the following method steps: S1, the collection and processing unit is used to receive the collected data and perform preprocessing operations, and at the same time transmit the collected data to the early warning maintenance unit and trigger the early warning function; S2, the analysis and classification unit is used to receive the collected data and the data after the preprocessing operation, and perform garbage classification on the data after the preprocessing operation, and then perform data analysis on the collected data and the data after the preprocessing operation, and at the same time, transmit the data after data analysis to the early warning maintenance unit, and trigger the early warning function; S3, the intelligent management unit is used to receive the collected data, the data after preprocessing operations, and the data after data analysis, and to make intelligent decisions on the collected data, the data after preprocessing operations, and the data after data analysis, and to perform energy-saving management based on the intelligent decisions.

[0012] Compared with the prior art, the present invention has the following beneficial effects: 1. In the smart city renewal design system and method, the intelligent decision-making module makes intelligent decisions on the collected data, the data after pre-processing operations, and the data after big data analysis. Intelligent decision-making can improve the shopping environment for tourists in the mall. According to the intelligent decision-making arrangement and garbage collection time, it can reduce the overflowing garbage cans and odor problems, and create a cleaner, tidier and more sanitary environment in the mall. At the same time, intelligent decision-making can also provide convenient garbage recycling and processing services, providing tourists with a more convenient and comfortable shopping environment.

[0013] 2. In the smart city renewal design system and method, the energy-saving management module performs energy-saving management based on the data after intelligent decision-making. For example, a display screen or signboard is installed next to the smart trash can to show the specific requirements and steps of garbage classification to users through text, icons or videos. When the human body sensor does not detect tourists passing through the smart trash can within the detection range, the display screen will automatically enter a sleep state. When it is detected that a tourist is approaching the smart trash can, the display screen automatically starts to work. Energy-saving management can improve energy utilization efficiency and reduce energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 is an overall block diagram of the present invention; Figure 2 It is a block diagram of the collection and processing unit of the present invention; Figure 3 It is a block diagram of the analysis classification unit of the present invention; Figure 4 It is a block diagram of the intelligent management unit of the present invention.

[0015] The meaning of each number in the figure is: 1. Collection and processing unit; 11. Data collection module; 12. Data preprocessing module; 2. Analysis and classification unit; 21. Garbage classification module; 22. Data analysis module; 3. Early warning maintenance unit; 4. Intelligent management unit; 41. Intelligent decision-making module; 42. Energy-saving management module. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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 creative work are within the scope of protection of the present invention. Example

[0017] See also Figure 1-Figure 4 As shown, one of the purposes of this embodiment is to provide an intelligent city renewal design system, including a collection and processing unit 1, an analysis and classification unit 2, an early warning maintenance unit 3, and an intelligent management unit 4; Considering that cities are currently developing towards smart cities, they are also gradually paying attention to garbage management. At present, most shopping malls still have traditional recyclable and non-recyclable garbage cans. As the number of tourists increases, the garbage will slowly fill up and overflow, and a pungent odor will be emitted. Therefore, we proposed a smart city renewal design system, in which the collection and processing unit 1 of the system is used to receive the collected data and perform preprocessing operations on the collected data. The analysis and classification unit 2 is used to receive the collected data and the data after the preprocessing operation, and classify the data after the preprocessing operation, and then perform data analysis on the collected data and the data after the preprocessing operation. The early warning maintenance unit 3 is used to receive the collected data and the data after data analysis, and trigger the early warning function. The intelligent management unit 4 is used to receive the collected data, the data after the preprocessing operation, and the data after data analysis, and make intelligent decisions on the collected data, the data after the preprocessing operation, and the data after data analysis, and at the same time, energy-saving management is performed according to the intelligent decisions; The intelligent management unit 4 is used to receive the collected data, the data after pre-processing operations, and the data after data analysis, and to make intelligent decisions on the collected data, the data after pre-processing operations, and the data after data analysis. Intelligent decisions can reduce the waste of human and material resources. Through the automated garbage collection, classification, and processing system, the workload of manual patrols and monitoring can be reduced, and efficient use of resources can be achieved. At the same time, energy-saving management is carried out according to the intelligent decisions. Energy-saving management measures help to enhance the competitiveness and sustainable development of the city. Energy-saving management can not only reduce the operating costs of the city, but also help to attract investment and talent inflows.

[0018] The following is a refinement of the above units, please refer to Figure 2-Figure 4 As shown; The collection and processing unit 1 includes a data collection module 11 and a data preprocessing module 12; The data collection module 11 is used to receive the collected data, and the collected data includes data for real-time monitoring of the filling degree of the smart trash can, feedback data from tourists, and the smell in the smart trash can. For example, we can install smart trash cans in the mall. The smart trash cans are equipped with sensors to monitor the filling degree of the trash cans in real time and collect the garbage. When the garbage reaches the set capacity, the collected data is transmitted to the early warning maintenance unit 3. The early warning maintenance unit 3 is used to receive the collected data in the data collection module 11 and trigger the early warning function to notify relevant personnel to clean up in time. This can avoid the problem of garbage overflow and improve the efficiency of garbage cleaning.

[0019] At the same time, the collected data is transmitted to the data preprocessing module 12. The data preprocessing module 12 is used to receive the data and perform preprocessing operations on the received data. The preprocessing operations include data cleaning (processing errors and duplicates in the data) and denoising (randomly appearing irrelevant or erroneous data in the data, which may be caused by sensor errors, interference in the data collection process, etc.). The accuracy of the data is ensured through the preprocessing operation to facilitate the subsequent intelligent decision-making. At the same time, the data after the preprocessing operation is transmitted to the analysis and classification unit 2.

[0020] The analysis and classification unit 2 includes a garbage classification module 21 and a data analysis module 22; The garbage classification module 21 is used to receive the data after the preprocessing operation in the data preprocessing module 12, and classify the data after the preprocessing operation. For example, we can equip the mall's smart trash cans with display screens or signboards, voice prompts and other functions. The smart trash cans are equipped with display screens or signboards to show users the specific requirements and steps of garbage classification through text, icons or videos. Users can put the garbage into the corresponding classification port according to the instructions on the display screen. The smart trash can can also be equipped with a voice prompt function. When the user puts the garbage, the system will issue a voice prompt to inform the user which classification port to put the garbage into. The voice prompt can provide more intuitive and easy-to-understand guidance to guide users to correctly classify the garbage. It can identify and remind users which garbage classification it belongs to, helping to improve the accuracy of garbage classification.

[0021] The data analysis module 22 is used to receive the data collected by the data collection module 11, receive the data after preprocessing operation in the data preprocessing module 12, and perform big data analysis on the collected data and the data after preprocessing operation, and analyze whether the filling degree of the garbage bin exceeds the threshold value. When it is analyzed that the filling degree of the intelligent garbage bin exceeds the threshold value, the data after big data analysis will be transmitted to the early warning maintenance unit 3. The early warning maintenance unit 3 receives the data after big data analysis in the data analysis module 22, and directly triggers the early warning function, and uses the filling degree detection algorithm in the periodic detection to analyze the trend and periodicity of garbage accumulation. Through the analysis of these data, a more scientific and effective garbage management strategy can be formulated, the efficiency and accuracy of garbage management can be improved, and sustainable resource recycling can be promoted; Mathematical formula of filling degree detection algorithm: ; in, is the filling level of the trash can, Refers to the total weight in the trash can at the current moment. is the initial weight of the trash can after it is emptied, Refers to the volume that a trash can can hold. This formula is used to analyze the filling degree of a smart trash can. The filling degree can provide real-time information on the status of the trash can, helping managers and staff to understand in real time whether the trash can is full. This helps to optimize garbage collection and cleaning plans and improve the efficiency of garbage management.

[0022] The intelligent management unit 4 includes an intelligent decision-making module 41 and an energy-saving management module 42; The intelligent decision-making module 41 is used to receive the data collected in the data collection module 11, receive the data after preprocessing operations in the data preprocessing module 12, receive the data after big data analysis in the data analysis module 22, and make intelligent decisions on the collected data, the data after preprocessing operations, and the data after big data analysis. Intelligent decision-making can help smart cities manage garbage disposal and recycling more efficiently, and can also optimize garbage collection, handle odors in smart trash cans, and transportation routes, reduce waste of time and resources, and transmit the data after intelligent decision-making to the energy-saving management module 42. The energy-saving management module 42 is used to receive the data after intelligent decision-making and perform energy-saving management based on the data after intelligent decision-making. Energy-saving management measures can improve energy utilization efficiency and reduce energy consumption. Through the intelligent energy management system, energy use can be optimized. For example, the smart trash can can be designed to support an intelligent sleep mode. When the smart trash can is not used for more than 30 minutes, it automatically enters a sleep state to reduce energy consumption or enters a sleep mode. When someone approaches the smart trash can or a tourist puts garbage, the smart trash can can automatically wake up.

[0023] The intelligent decision-making module 41 is used to receive the data collected in the data collection module 11, receive the data after preprocessing in the data preprocessing module 12, receive the data after big data analysis in the data analysis module 22, and make intelligent decisions on the collected data, the data after preprocessing, and the data after big data analysis. By using the empirical entropy algorithm, the intelligent decision-making can guide residents to participate in garbage management and cultivate environmental awareness by providing information and suggestions related to garbage management. It can also provide residents with information such as garbage classification knowledge and placement guidelines to stimulate residents to actively participate in garbage management and environmental protection actions. The data after intelligent decision-making is transmitted to the energy-saving management module 42. The energy-saving management module 42 performs energy-saving management according to the data after intelligent decision-making, which helps to improve the sustainable development of the mall. It can also use renewable energy such as solar energy to power the smart trash can, thereby reducing the waste of traditional electric energy. Empirical entropy mathematical algorithm formula: ; in, It means making intelligent decisions for the system. Is to detect and calculate the filling degree, is the summation symbol, It is a common mathematical function, which means logarithmic operation based on a specific base. This formula is mainly used to make intelligent decisions, formulate the best management plan for garbage management and transportation routes in the mall, and reduce the waste of time and resources.

[0024] The second object of the present invention is to provide a method for operating the above-mentioned intelligent city renewal design system, comprising the following method steps: S1, the collection and processing unit 1 is used to receive the collected data and perform preprocessing operations, and at the same time transmit the collected data to the early warning maintenance unit 3 and trigger the early warning function; S2, the analysis and classification unit 2 is used to receive the collected data and the data after the preprocessing operation, and perform garbage classification on the data after the preprocessing operation, and then perform data analysis on the collected data and the data after the preprocessing operation, and at the same time, transmit the data after data analysis to the early warning maintenance unit 3, and trigger the early warning function; S3, the intelligent management unit 4 is used to receive the collected data, the data after preprocessing operations, and the data after data analysis, and to make intelligent decisions on the collected data, the data after preprocessing operations, and the data after data analysis, and to perform energy-saving management based on the intelligent decisions.

[0025] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent urban renewal design system, characterized by: It includes a collection and processing unit (1), an analysis and classification unit (2), an early warning and maintenance unit (3), and an intelligent management unit (4); The collection and processing unit (1) is used to receive the collected data and perform preprocessing operations on the collected data; The analysis and classification unit (2) is used to receive the collected data and the data after the preprocessing operation, classify the data after the preprocessing operation into garbage, and then perform data analysis on the collected data and the data after the preprocessing operation; The early warning maintenance unit (3) is used to receive the collected data, the data after data analysis, and trigger the early warning function; The intelligent management unit (4) is used to receive the collected data, the pre-processed data, and the data after data analysis, and to make intelligent decisions on the collected data, the pre-processed data, and the data after data analysis, and to perform energy-saving management according to the intelligent decisions; The intelligent management unit (4) is used to receive the collected data, the pre-processed data, and the data after data analysis, and to make intelligent decisions on the collected data, the pre-processed data, and the data after data analysis, and to perform energy-saving management according to the intelligent decisions.

2. The intelligent urban renewal design system according to claim 1, characterized in that: The collection and processing unit (1) comprises a data collection module (11) and a data preprocessing module (12); The data collection module (11) is used to receive the collected data and transfer the collected data to the data preprocessing module (12); The data preprocessing module (12) is used to receive the data, perform preprocessing operations on the received data, and transmit the preprocessed data to the analysis and classification unit (2).

3. The intelligent urban renewal design system according to claim 2, characterized in that: The analysis and classification unit (2) comprises a garbage classification module (21) and a data analysis module (22); The garbage classification module (21) is used to receive the data after the preprocessing operation in the data preprocessing module (12), and perform garbage classification on the data after the preprocessing operation; The data analysis module (22) is used to receive the data collected by the data collection module (11), receive the data pre-processed by the data pre-processing module (12), and perform big data analysis on the collected data and the data pre-processed to analyze whether the filling degree of the garbage bin exceeds a threshold value, using a filling degree detection algorithm in periodic detection, and at the same time transmit the data after big data analysis to the early warning maintenance unit (3); Mathematical formula of filling degree detection algorithm: ； in, is the filling level of the trash can, Refers to the total weight in the trash can at the current moment. is the initial weight of the trash can after it is emptied, Refers to the volume that a trash can can hold.

4. The intelligent urban renewal design system according to claim 3, characterized in that: The early warning maintenance unit (3) is used to receive the data collected by the data collection module (11), receive the data after big data analysis by the data analysis module (22), and trigger the early warning function.

5. The intelligent city renewal design system according to claim 4, characterized in that: The intelligent management unit (4) comprises an intelligent decision-making module (41) and an energy-saving management module (42); The intelligent decision-making module (41) is used to receive the data collected by the data collection module (11), receive the data pre-processed by the data pre-processing module (12), receive the data after big data analysis by the data analysis module (22), and make intelligent decisions on the collected data, the data pre-processed, and the data after big data analysis, and transmit the data after the intelligent decision to the energy-saving management module (42); The energy-saving management module (42) is used to receive data after intelligent decision-making, and perform energy-saving management according to the data after intelligent decision-making.

6. The intelligent city renewal design system according to claim 5, characterized in that: The intelligent decision-making module (41) is used to receive the data collected by the data collection module (11), receive the data after preprocessing operation in the data preprocessing module (12), receive the data after big data analysis in the data analysis module (22), and perform intelligent decision-making on the collected data, the data after preprocessing operation, and the data after big data analysis, and transmit the data after the intelligent decision to the energy-saving management module (42). The energy-saving management module (42) performs energy-saving management according to the data after the intelligent decision.

7. A method for operating the intelligent urban renewal design system according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: S1, the collection and processing unit (1) is used to receive the collected data and perform pre-processing operations, and at the same time transmit the collected data to the early warning maintenance unit (3) and trigger the early warning function; S2, the analysis and classification unit (2) is used to receive the collected data and the data after the preprocessing operation, and classify the data after the preprocessing operation into garbage, and then perform data analysis on the collected data and the data after the preprocessing operation, and at the same time transmit the data after the data analysis to the early warning maintenance unit (3), and trigger the early warning function; S3, the intelligent management unit (4) is used to receive the collected data, the data after preprocessing operations, and the data after data analysis, and to make intelligent decisions on the collected data, the data after preprocessing operations, and the data after data analysis, and to perform energy-saving management according to the intelligent decisions.

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