Commercial kitchen energy consumption monitoring and energy-saving management system

Abstract

The invention relates to a commercial kitchen energy consumption monitoring and energy-saving management system, which belongs to the field of energy consumption monitoring and comprises a data acquisition layer, a data processing layer, an intelligent decision-making layer, a user interaction layer and a communication integration layer. According to the commercial kitchen energy consumption monitoring and energy-saving management system, various intelligent sensors are deployed in a commercial kitchen, consumption data of energy sources such as water, electricity and gas are collected in real time, the collected data are transmitted to a cloud platform through a wireless network to be stored and processed, the energy consumption data are deeply analyzed through a big data analysis technology, and the energy consumption monitoring and energy-saving management system is used for monitoring the energy consumption of the commercial kitchen. Energy consumption modes and energy-saving potentials are recognized, according to analysis results, the intelligent control module automatically adjusts operation parameters of equipment in the commercial kitchen, energy saving is achieved, managers check energy consumption data in real time and receive energy-saving suggestions and system state reports through an interactive interface, energy consumption is effectively reduced through intelligent analysis and control, and the energy-saving effect is improved. The energy utilization efficiency is improved, and real-time monitoring and accurate management of commercial kitchen energy consumption are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of energy consumption monitoring, and in particular to an energy consumption monitoring and energy-saving management system for commercial kitchens. Background Art

[0002] Commercial kitchens refer to kitchen facilities designed for commercial purposes, usually used in the catering service industry, such as restaurants, hotels, fast food restaurants, school and company canteens, hospitals, airline catering centers, etc. Compared with home kitchens, commercial kitchens have the following characteristics: commercial kitchens are usually larger in area to accommodate the preparation and cooking needs of large quantities of food; commercial kitchens are equipped with professional cooking and food processing equipment, such as large stoves, ovens, steamers, refrigerators, freezers, dishwashers, etc.; the design of commercial kitchens usually follows an efficient workflow to reduce the distance employees move and improve work efficiency; the equipment and facilities in commercial kitchens are usually more durable and can withstand long-term high-intensity use; commercial kitchens must comply with strict hygiene and safety regulations to ensure food safety and employee health.

[0003] For example, an Android-based smart home energy management system disclosed in Chinese patent announcement number (CN108828975A) involves the field of smart home, including: mobile phone App, home server, smart metering module, sensor module, home network module and smart home equipment. The smart metering module centrally collects data from electricity meters, water meters, gas meters and heat meters. The sensor module collects various sensor data in the home. The home server receives mobile phone App instructions to control smart home devices, and at the same time stores, processes and analyzes the data collected by the metering module and the sensor module, and displays the results visually in the mobile phone App. The mobile phone App understands energy usage in real time and manages home appliances. The invention is based on the Android open platform, can remotely control home appliances, collect, process and analyze home energy consumption information, and monitor and predict and analyze home energy usage in real time through the mobile phone App.

[0004] However, as in the above patent, there is still a problem of poor comprehensiveness in kitchen energy consumption monitoring. For example, in the above patent, the water meter, electricity meter and gas meter in the kitchen are monitored through a metering module and a sensor module. Such monitoring is very general and is not convenient for independent adjustment according to the usage habits of kitchen equipment. Therefore, it cannot achieve a good energy-saving management effect. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a commercial kitchen energy consumption monitoring and energy-saving management system, which has the advantages of good energy consumption monitoring and management effect, and solves the problem of poor comprehensiveness of kitchen energy consumption monitoring in the prior art.

[0006] To achieve the above-mentioned object, the present invention provides the following technical solutions: a commercial kitchen energy consumption monitoring and energy-saving management system, comprising a data acquisition layer, a data processing layer, an intelligent decision-making layer, a user interaction layer and a communication integration layer;

[0007] Among them, the data collection layer is used to: deploy intelligent sensor networks for multiple sensor modules to collect energy consumption data in real time;

[0008] Among them, the data processing layer is used to: establish a cloud platform for servers and data processing modules, and use big data analysis technology to process collected data;

[0009] Among them, the intelligent decision-making layer is used to: automatically adjust the operation of equipment for the energy-saving control module according to the data analysis results of the data processing layer;

[0010] The user interaction layer is used to: provide real-time data display and report generation for interactive control display;

[0011] Among them, the communication integration layer is used to: provide a wireless module to ensure the compatibility of the system with existing kitchen equipment and other management systems.

[0012] Furthermore, the data collection layer includes several power sensors, gas sensors, water meter sensors, several temperature and humidity sensors, flow sensors, pressure sensors, smoke gas sensors and occupancy sensors, which collect real-time consumption data of energy such as water, electricity and gas and upload them to the data processing layer.

[0013] Furthermore, a plurality of the power sensors are disposed on various electrical devices inside the kitchen to accurately monitor the energy consumption of different kitchen appliances.

[0014] Furthermore, the data processing layer establishes a cloud platform based on energy consumption data and kitchen working modes, and provides decision support for energy saving by learning and identifying the energy usage patterns of the kitchen, so as to automatically adjust equipment operating parameters and optimize energy consumption.

[0015] Furthermore, the user interaction layer includes multi-user management, supports access by users with different permissions, and the interactive control display provides real-time energy consumption monitoring functions, including charts and graphical displays of energy consumption data.

[0016] Furthermore, the communication integration layer supports multiple wireless communication protocols, including Wi-Fi, ZigBee and LoRa protocols, and provides a standardized data interface to facilitate data exchange with other management systems.

[0017] Furthermore, the data processing layer also includes a data security module for ensuring the encrypted storage and secure transmission of the collected data, and the intelligent decision-making layer further includes a machine learning algorithm for continuously optimizing the energy consumption prediction model and energy-saving strategy.

[0018] Furthermore, the data collection layer also includes energy consumption prediction sensors for predicting future energy consumption trends and patterns.

[0019] Furthermore, the energy-saving control module includes a load management algorithm for optimizing energy distribution and usage during peak hours.

[0020] Furthermore, the communication integration layer provides mobile applications that enable users to access the system through smartphones or tablets, and supports remote access and control of energy consumption monitoring and energy-saving management systems through the Internet.

[0021] Compared with the prior art, the technical solution of this application has the following beneficial effects:

[0022] 1. The energy consumption monitoring and energy-saving management system for commercial kitchens deploys various intelligent sensors in commercial kitchens to collect real-time consumption data of energy such as water, electricity, and gas. The collected data is transmitted to the cloud platform through wireless networks for storage and processing. Big data analysis technology is used to conduct in-depth analysis of energy consumption data, identify energy consumption patterns and energy-saving potential. According to the analysis results, the intelligent control module automatically adjusts the operating parameters of the equipment in the commercial kitchen to achieve energy saving. Managers can view energy consumption data, receive energy-saving suggestions and system status reports in real time through the user interaction interface. Through intelligent analysis and control, energy consumption is effectively reduced, energy utilization efficiency is improved, and real-time monitoring and precise management of commercial kitchen energy consumption are achieved.

[0023] 2. The energy consumption monitoring and energy-saving management system for commercial kitchens has significantly improved energy efficiency and effectively reduced operating costs through real-time monitoring and intelligent analysis. The intelligent management of the system reduces the need for manual monitoring and improves management efficiency. The data security module ensures the encrypted storage and secure transmission of sensitive data, protecting enterprises from the risks of data leakage and unauthorized access. The multi-user management and real-time energy consumption monitoring functions of the user interaction layer provide an intuitive and easy-to-use interface for users with different permissions, enhancing the user experience. In addition, the communication integration layer of the system supports multiple wireless communication protocols and provides standardized data interfaces, ensuring compatibility with existing kitchen equipment and management systems, and facilitating future expansion and upgrades. These features jointly promote the sustainable development of commercial kitchens, while improving the environmental responsibility of enterprises and the job satisfaction of employees. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a system block diagram of the present invention;

[0025] Figure 2 This is a data acquisition layer acquisition block diagram of the present invention. DETAILED DESCRIPTION

[0026] 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.

[0027] See also Figure 1-2 , a commercial kitchen energy consumption monitoring and energy-saving management system in this embodiment, a data collection layer, a data processing layer, an intelligent decision-making layer, a user interaction layer and a communication integration layer;

[0028] Among them, the data collection layer is used to: deploy intelligent sensor networks for multiple sensor modules to collect energy consumption data in real time;

[0029] Among them, the data processing layer is used to: establish a cloud platform for servers and data processing modules, and use big data analysis technology to process collected data;

[0030] Among them, the intelligent decision-making layer is used to: automatically adjust the operation of equipment for the energy-saving control module according to the data analysis results of the data processing layer;

[0031] The user interaction layer is used to: provide real-time data display and report generation for interactive control display;

[0032] Among them, the communication integration layer is used to: provide a wireless module to ensure the compatibility of the system with existing kitchen equipment and other management systems.

[0033] Using big data analysis technology, we conduct in-depth analysis of energy consumption data to identify energy consumption patterns and energy-saving potential. Based on the analysis results, the intelligent control module automatically adjusts the operating parameters of equipment in commercial kitchens to achieve energy saving.

[0034] In this embodiment, the data acquisition layer includes a number of power sensors, gas sensors, water meter sensors, a number of temperature and humidity sensors, flow sensors, pressure sensors, smoke gas sensors and occupancy sensors, which collect real-time consumption data of energy such as water, electricity and gas and upload it to the data processing layer. A number of power sensors are installed on various electrical equipment inside the kitchen to accurately monitor the energy consumption of different kitchen appliances, and to monitor and collect real-time consumption data of various energy such as water, electricity and gas in commercial kitchens.

[0035] It should be noted that the power sensor is used to monitor the energy consumption of kitchen appliances, the gas sensor monitors the usage of gas, the water meter sensor is used to measure the water consumption, including the usage of hot and cold water, the temperature sensor monitors the temperature of different areas in the kitchen, as well as the internal temperature of equipment such as refrigerators and cold storage rooms, the humidity sensor detects the humidity level of the kitchen environment, which is important for food safety and equipment maintenance, the pressure sensor monitors the pressure of the gas pipeline and water supply system to ensure the normal operation of the system, the flow sensor measures the flow of water and gas, which is used to calculate the consumption, the smoke gas sensor detects the presence of smoke, carbon monoxide and other harmful gases in the kitchen to ensure safety, and the occupancy sensor detects whether there is human activity in the kitchen, which is used to automatically control the switches of the lighting and exhaust systems.

[0036] In this embodiment, the data processing layer establishes a cloud platform based on energy consumption data and kitchen working modes, and provides decision support for energy saving by learning and identifying the energy usage patterns of the kitchen, so as to automatically adjust the equipment operating parameters and optimize energy consumption. According to the energy consumption data and the kitchen working mode, the equipment operating parameters are automatically adjusted to achieve energy consumption optimization. The user interaction layer includes multi-user management, supports access by users with different permissions, and the interactive control display provides real-time energy consumption monitoring functions, including charts and graphical displays of energy consumption data. The collected energy consumption data is uploaded to the data processing layer through the wireless module, including information such as electrical energy consumption, gas usage, water consumption, ambient temperature and humidity, and equipment operating status.

[0037] In this embodiment, the communication integration layer supports multiple wireless communication protocols, including Wi-Fi, ZigBee and LoRa protocols, and provides a standardized data interface to facilitate data exchange with other management systems.

[0038] In this embodiment, the data processing layer also includes a data security module for ensuring the encrypted storage and secure transmission of collected data. The intelligent decision-making layer further includes a machine learning algorithm for continuously optimizing energy consumption prediction models and energy-saving strategies. The data processing layer is built on a cloud platform and uses big data analysis technology to process and analyze uploaded energy consumption data. This layer provides decision support for energy saving by learning and identifying the energy usage patterns of the kitchen.

[0039] In this embodiment, the data acquisition layer also includes an energy consumption prediction sensor for predicting future energy consumption trends and patterns. The energy-saving control module includes a load management algorithm for optimizing energy distribution and use during peak hours. The intelligent decision-making layer receives the analysis results from the data processing layer, and automatically adjusts the operating parameters of the kitchen equipment through the built-in energy-saving control module and machine learning algorithm, optimizes energy consumption, and achieves energy saving. The system also includes energy consumption prediction sensors and load management algorithms for predicting future energy consumption trends and patterns, and optimizing energy distribution and use during peak hours.

[0040] In this embodiment, the communication integration layer provides mobile applications, allowing users to access the system through smart phones or tablet computers, and supports remote access and control of energy consumption monitoring and energy-saving management systems through the Internet.

[0041] It should be noted that managers can view energy consumption data in real time, receive energy-saving suggestions and system status reports through the user interaction interface. Through intelligent analysis and control, they can effectively reduce energy consumption, improve energy utilization efficiency, and realize real-time monitoring and precise management of commercial kitchen energy consumption.

[0042] The working principle of the above embodiment is:

[0043] The data collection layer of the system deploys a variety of intelligent sensors to form a sensor network. These sensors include power sensors, gas sensors, water meter sensors, temperature and humidity sensors, flow sensors, pressure sensors, smoke gas sensors and occupancy sensors, etc., which are used to monitor and collect the consumption data of various energy sources such as water, electricity and gas in commercial kitchens in real time. The collected energy consumption data is uploaded to the data processing layer through the wireless module, including the energy consumption of electrical appliances, gas usage, water consumption, ambient temperature and humidity, equipment operation status and other information. The data processing layer is built on the cloud platform and uses big data analysis technology to process and analyze the uploaded energy consumption data. This layer learns and identifies The energy usage pattern of the kitchen provides decision support for energy saving. The intelligent decision-making layer receives the analysis results from the data processing layer, and automatically adjusts the operating parameters of the kitchen equipment through the built-in energy-saving control module and machine learning algorithm, optimizes energy consumption, and achieves energy saving. The system also includes energy consumption prediction sensors and load management algorithms to predict future energy consumption trends and patterns, and optimize energy distribution and use during peak hours. The working principle of the entire system is a closed-loop feedback process. Through real-time monitoring, data analysis, intelligent decision-making, user interaction and remote control, it continuously optimizes the energy consumption management of commercial kitchens, improves energy utilization efficiency, reduces operating costs, and improves the overall energy management level.

[0044] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0045] While the embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that many changes, modifications, substitutions and alterations may be made to the embodiments without departing from the principles and spirit of the invention.

Claims

1. A commercial kitchen energy consumption monitoring and energy-saving management system, characterized by: It includes data collection layer, data processing layer, intelligent decision-making layer, user interaction layer and communication integration layer; Among them, the data collection layer is used to: deploy intelligent sensor networks for multiple sensor modules to collect energy consumption data in real time; Among them, the data processing layer is used to: establish a cloud platform for servers and data processing modules, and use big data analysis technology to process collected data; Among them, the intelligent decision-making layer is used to: automatically adjust the operation of equipment for the energy-saving control module according to the data analysis results of the data processing layer; The user interaction layer is used to: provide real-time data display and report generation for interactive control display; Among them, the communication integration layer is used to: provide a wireless module to ensure the compatibility of the system with existing kitchen equipment and other management systems.

2. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The data collection layer includes several power sensors, gas sensors, water meter sensors, several temperature and humidity sensors, flow sensors, pressure sensors, smoke gas sensors and occupancy sensors, which collect real-time consumption data of water, electricity, gas and other energy sources and upload them to the data processing layer.

3. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 2, characterized in that: A plurality of the electric energy sensors are arranged on various electric devices in the kitchen to accurately monitor the energy consumption of different kitchen appliances.

4. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The data processing layer establishes a cloud platform based on energy consumption data and kitchen working modes, and provides decision support for energy saving by learning and identifying the energy usage mode of the kitchen, so as to automatically adjust equipment operating parameters and optimize energy consumption.

5. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The user interaction layer includes multi-user management, supports access by users with different permissions, and the interactive control display provides real-time energy consumption monitoring functions, including charts and graphical displays of energy consumption data.

6. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The communication integration layer supports multiple wireless communication protocols, including Wi-Fi, ZigBee and LoRa protocols, and provides a standardized data interface to facilitate data exchange with other management systems.

7. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The data processing layer also includes a data security module for ensuring the encrypted storage and secure transmission of collected data. The intelligent decision-making layer further includes a machine learning algorithm for continuously optimizing energy consumption prediction models and energy-saving strategies.

8. The commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The data collection layer also includes energy consumption prediction sensors for predicting future energy consumption trends and patterns.

9. A commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The energy-saving control module includes a load management algorithm for optimizing energy distribution and usage during peak hours.

10. The commercial kitchen energy consumption monitoring and energy-saving management system according to claim 1, characterized in that: The communication integration layer provides mobile applications that enable users to access the system through smartphones or tablets, and supports remote access and control of energy consumption monitoring and energy-saving management systems through the Internet.

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