A method and system for comprehensive management of construction equipment

Abstract

The present invention relates to the field of intelligent building control technology, and specifically to a method and system for comprehensive management of building equipment, wherein a method for comprehensive management of building equipment includes the following steps: S1: initialization of the comprehensive management system of building equipment; S2: automatic collection and measurement of status information of equipment corresponding to each project area; S3: deployment of AI model, calibration of the basic load of each equipment in each time period through energy consumption diagnosis, and determination of the optimal control scheme for each project area in the whole time period; S4: energy consumption optimization. The present invention can realize the networking, digitization and intelligent management of building equipment, and facilitate the centralized management and decentralized control of building equipment. At the same time, the use of AI model can optimize the energy consumption of energy storage energy consumption projects and demand energy consumption projects separately according to the energy consumption type, and can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent building control, and in particular to a method and system for comprehensive management of building equipment. Background Art

[0002] With the advancement of network, information, communication and Internet of Things technology, my country's building intelligence has experienced more than 20 years of development. A group of mature product suppliers and system integrators have been formed in China. Intelligent products have been widely used in various types of buildings, promoting the rapid development of building informatization and automation. With the maturity and progress of technology, data linkage between systems, comprehensive application requirements at the business layer, and the demand for big data, the integration of intelligent systems has gradually become a trend. However, the traditional building integrated management system (IBMS) solution only integrates the original building automatic control system, intelligent lighting system, energy consumption metering system, air quality monitoring system and other building data subsystems into a unified platform, which can only achieve basic information display. Even if a problem is found in a separate energy consumption monitoring system, it cannot be analyzed through equipment operation or solved through equipment control. The connection between the subsystems is low and cannot be well managed centrally, resulting in the existing energy consumption optimization scheme can only optimize a single subsystem. At the same time, the existing energy consumption optimization scheme has high technical requirements for designers, requiring designers to have a deep understanding of the building situation and the local environment, in order to formulate a matching energy consumption optimization scheme according to the actual situation, which is time-consuming and labor-intensive, and has certain limitations. Summary of the invention

[0003] The technical problem to be solved by the present invention is that the existing building integrated management system has a low level of intelligence, is difficult to optimize energy consumption, has a low degree of data connection between subsystems, and cannot be well managed centrally.

[0004] In order to solve the above technical problems, the first aspect of the present invention adopts the following technical solution: a method for comprehensive management of construction equipment, comprising the following steps: S1: Initialize the building equipment integrated management system, connect all equipment in several project areas, and divide several project areas into energy storage energy consumption projects and demand energy consumption projects according to energy consumption types and energy consumption relevance; S2: Automatically collect and measure the status information of the equipment corresponding to each project area, and obtain the energy consumption of each project area through data processing and analysis; S3: Deploy AI models to calibrate the basic load of each device in each time period through energy consumption diagnosis based on the energy consumption of each project area, and determine the optimal control plan for each project area throughout the entire time period; S4: Carry out energy consumption optimization work, and optimize the control of the corresponding equipment at all times based on the preset control nodes according to the optimization control plan of each project area to achieve energy consumption optimization.

[0005] When the present invention is working, it can realize the networking, digitization and intelligent management of building equipment, facilitate the centralized management and decentralized control of building equipment, and realize the integrated monitoring, control and management of building equipment through digital operation. At the same time, the AI ​​model can optimize the energy consumption of storage energy consumption projects and demand energy consumption projects separately according to the energy consumption type, and can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0006] Preferably, in step S3, the status information of the equipment corresponding to each project area is automatically collected and measured, and the energy consumption of each project area is obtained through data processing and analysis. The following steps are adopted: traverse all equipment, automatically collect the status information of each equipment and the environmental information of the project area to which it belongs, obtain the real-time power consumption data of each equipment by performing data mining on the status information of each equipment, and support daily, weekly, monthly, annual and customized data calls through data recording.

[0007] Preferably, in step S2, when the energy consumption of each project area is obtained through data processing and analysis, the following steps are adopted to obtain at least one of the total energy consumption report, classified energy consumption report, year-on-year energy consumption report, month-on-month energy consumption report, itemized energy consumption report, energy plan report, energy plan report, actual comparison report and energy loss report of each project area through data processing.

[0008] Preferably, in step S3, the AI ​​model is deployed, and according to the energy consumption of each project area, the basic load of each device in each time period is calibrated through energy consumption diagnosis, and the optimal control scheme of each project area in the whole time period is determined, and the following steps are adopted: A1: Perform energy consumption diagnosis and conduct year-on-year and month-on-month analysis on the energy consumption of energy storage energy consumption projects through a preset AI model to calibrate the basic load and additional load of the energy storage energy consumption projects in each energy consumption cycle; A2: Perform energy consumption diagnosis on the additional load of the energy storage energy consumption project in each energy consumption cycle to generate the redundant load of the energy storage energy consumption project in each energy consumption cycle, and correct the basic load through the redundant load; A3: Integrate the corrected base load and use the AI ​​model to determine the optimal control plan for each energy storage and energy consumption project throughout the entire period.

[0009] Preferably, in step S3, the energy consumption cycle includes at least one of a day, a week, a month, a year, a restricted settlement cycle, a preferential settlement cycle and a gradient settlement cycle.

[0010] Preferably, in step S3, an AI model is deployed, and according to the energy consumption of each project area, when the basic load of each device in each time period is calibrated through energy consumption diagnosis, the following steps are adopted to perform energy consumption diagnosis, and the required energy consumption items are divided into necessary energy consumption items and environmental creation projects. The energy consumption of the environmental creation projects is analyzed year-on-year and horizontally through a preset AI model to determine the optimal control plan for the environmental creation projects throughout the entire time period.

[0011] When the present invention is working, through energy consumption diagnosis, it can calibrate the basic load and additional load of the energy storage energy consumption project in each energy consumption cycle, so as to facilitate the elimination of the additional load to reduce energy consumption. At the same time, the basic load can also be corrected by the additional load, which can reduce the service response time of the energy storage energy consumption project, improve the risk resistance of the energy storage energy consumption project, ensure the user experience, and realize the automatic full-time optimization control of the demand energy consumption project, which can reduce the work intensity of the designers and further reduce the energy consumption of the building.

[0012] Preferably, step S4 also includes the following steps: establishing a demand compensation path, adaptively compensating the basic load of the corresponding equipment when a demand instruction is received, and optimizing the equipment throughout the entire period based on the preset control node according to the compensated basic load to achieve energy consumption optimization.

[0013] When the present invention is working, by establishing a demand compensation path, it is convenient for operators to perform customized control according to actual conditions. At the same time, it can also improve the application scope of the comprehensive management system of building equipment, facilitate compatibility with different system function modules, and have good versatility.

[0014] In order to solve the above technical problems, the second aspect of the present invention adopts the following technical solution: a construction equipment integrated management system, using the above-mentioned construction equipment integrated management method, comprising: The data application layer is used to monitor and process the uploaded relevant data, perform energy-saving diagnosis, realize multi-user management and use, and perform information display and overall control. The data application layer is connected with the field device layer and all device data in several project areas through the network transmission layer; The network transport layer is used to encrypt and transmit data using the existing network; The field equipment layer is used to automatically collect and measure the status information of the corresponding equipment in each project area; The data application layer is provided with an energy consumption diagnosis module and an AI artificial intelligence system. The energy consumption diagnosis module performs energy consumption analysis on the collected status information of each device and outputs energy consumption diagnosis data to the AI ​​artificial intelligence system. The AI ​​artificial intelligence module calibrates the basic load and additional load of each device in each time period according to the energy consumption diagnosis data. The AI ​​artificial intelligence module outputs a control signal for achieving energy consumption optimization through optimized control to the corresponding device based on the basic load and additional load of each device based on a preset control node.

[0015] When the present invention is working, it can realize a series of tasks such as automatic collection of building equipment status information, encrypted network transmission of data, building energy consumption diagnosis, and full-time energy consumption optimization control of buildings. It has a high degree of networking, automation, and intelligence, and can realize multi-user management and use, and facilitate the centralized management and decentralized control of building equipment. Through digital operation, the three-in-one monitoring, control, and management of building equipment can be realized. At the same time, the AI ​​artificial intelligence module is used to realize the optimal control of building equipment, with good energy-saving effect. It can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0016] Preferably, it also includes a cold and heat source system, an air conditioning and fresh air system, an air supply and exhaust system, a water supply and drainage system, an intelligent lighting system and an elevator system. The cold and heat source system, the air conditioning and fresh air system, the air supply and exhaust system, the water supply and drainage system, the intelligent lighting system and the elevator system are respectively arranged in their respective corresponding project areas and are respectively connected to the field equipment layer and the data application layer.

[0017] Preferably, the cold and heat source system is provided with at least one of a water-cooled air-conditioning unit, a chilled water circulation pump, a cooling water circulation pump and a supply and return water main pipe, the air-conditioning fresh air system is provided with at least one of a fresh air unit, an air-conditioning fan, a fresh air valve, a cold water valve and a hot water valve, the supply and exhaust air system is provided with at least one of a supply fan and an exhaust fan, the water supply and drainage system is provided with at least one of a variable frequency domestic water pump, a water supply main, a water collection well and a submersible sewage pump, the intelligent lighting system includes several lighting circuits, and the elevator system is provided with at least one of a passenger elevator and an escalator.

[0018] The beneficial technical effects of the present invention include: 1. The present invention can realize the networking, digitization and intelligent management of building equipment, facilitate the centralized management and decentralized control of building equipment, and realize the integration of monitoring, control and management of building equipment through digital operation. At the same time, the AI ​​model can optimize the energy consumption of energy storage energy consumption projects and demand energy consumption projects separately according to the energy consumption type, and can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0019] 2. Through energy consumption diagnosis, the present invention can calibrate the basic load and additional load of the energy storage energy consumption project in each energy consumption cycle, so as to facilitate the elimination of additional load to reduce energy consumption. At the same time, the basic load can also be corrected by the additional load, which can reduce the service response time of the energy storage energy consumption project, improve the risk resistance of the energy storage energy consumption project, ensure the user experience, and realize automatic full-time optimization control of the demand energy consumption project, which can reduce the work intensity of designers and further reduce building energy consumption.

[0020] 3. The present invention establishes a demand compensation path, which facilitates operators to perform customized control according to actual conditions. At the same time, it can also improve the scope of application of the comprehensive management system of building equipment, facilitate compatibility with different system functional modules, and has good versatility.

[0021] 4. The present invention can realize a series of tasks such as automatic collection of building equipment status information, encrypted network transmission of data, building energy consumption diagnosis, and full-time energy consumption optimization control of buildings. It has a high degree of networking, automation, and intelligence, and can realize multi-user management and use, and facilitate the centralized management and decentralized control of building equipment. Through digital operation, it realizes the three-in-one monitoring, control, and management of building equipment. At the same time, it adopts AI artificial intelligence module to realize the optimal control of building equipment, with good energy-saving effect. It can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0022] Other features and advantages of the present invention will be disclosed in detail in the following specific embodiments and drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The present invention will be further described below in conjunction with the accompanying drawings: Figure 1 It is a work flow chart of a comprehensive management method of construction equipment; Figure 2 is a workflow diagram of step S3 in a method for comprehensive management of construction equipment; Figure 3 The figure is a structural diagram of a comprehensive management system for building equipment. DETAILED DESCRIPTION

[0024] The technical solutions of the embodiments of the present invention are explained and described below in conjunction with the drawings of the embodiments of the present invention, but the following embodiments are only preferred embodiments of the present invention, not all. Based on the embodiments in the implementation mode, other embodiments obtained by those skilled in the art without creative work are all within the protection scope of the present invention.

[0025] In the following description, terms such as "inside", "outside", "up", "down", "left", "right", etc. that indicate directions or positional relationships are only used to facilitate the description of the embodiments and simplify the description, and do not indicate or imply that the referred device or element must have a specific direction, be constructed and operate in a specific direction. Therefore, it should not be understood as a limitation of the present invention. Embodiment 1:

[0026] See also Figure 1 This embodiment discloses a method for comprehensive management of construction equipment, comprising the following steps: S1: Initialize the integrated building equipment management system, connect all equipment in several project areas, and divide several project areas into energy storage energy consumption projects and demand energy consumption projects according to energy consumption type and energy consumption correlation. The energy storage energy consumption projects in building equipment are cold and heat source systems, air conditioning and fresh air systems, and water supply and drainage systems. Part of their energy consumption is converted into other energy forms and stored. On the contrary, energy consumption systems without energy conversion processes such as air supply and exhaust systems, intelligent lighting systems, and elevator systems are demand energy consumption projects. It is difficult to optimize the energy consumption of such project areas. It involves the optimization design of the product itself to achieve a good energy-saving effect. Therefore, in actual work, it is less concerned, and the focus is still on energy storage energy consumption projects, because it involves a large amount of energy conversion work. At the same time, the energy loss efficiency of some project areas is different during the energy storage process. Therefore, the optimization control of energy storage energy consumption projects can play a greater energy consumption optimization effect; S2: Automatically collect and measure the status information of the equipment corresponding to each project area, and obtain the energy consumption of each project area through data processing and analysis; S3: Deploy AI models to calibrate the basic load of each device in each time period through energy consumption diagnosis based on the energy consumption of each project area, and determine the optimal control plan for each project area throughout the entire time period; S4: Carry out energy consumption optimization work, and optimize the control of the corresponding equipment at all times based on the preset control nodes according to the optimization control plan of each project area to achieve energy consumption optimization.

[0027] When this embodiment is working, it can realize the networking, digitization and intelligent management of building equipment, facilitate the centralized management and decentralized control of building equipment, and realize the integration of monitoring, control and management of building equipment through digital operation. At the same time, the AI ​​model can optimize the energy consumption of storage energy consumption projects and demand energy consumption projects separately according to the energy consumption type, and can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0028] In the specific implementation, in step S3, the status information of the equipment corresponding to each project area is automatically collected and measured. When the energy consumption of each project area is obtained through data processing and analysis, the following steps are adopted: traverse all equipment, automatically collect the status information of each equipment and the environmental information of the project area to which it belongs, obtain the real-time power consumption data of each equipment by performing data mining on the status information of each equipment, and support daily, weekly, monthly, annual and customized data calls through data recording.

[0029] Preferably, in step S2, when the energy consumption of each project area is obtained through data processing and analysis, the following steps are adopted to obtain at least one of the total energy consumption report, classified energy consumption report, year-on-year energy consumption report, month-on-month energy consumption report, itemized energy consumption report, energy plan report, energy plan report, actual comparison report and energy loss report of each project area through data processing.

[0030] When this embodiment is working, data mining can be performed using automated data statistics software, such as Uptake, which integrates the learning schemes, models and algorithms of WEKA and R scripts. After the designer completes the script writing, it can automatically process the status information of the equipment and the environmental information of the project area, and can generate any of the above reports. It has good maintainability, is simple and easy to use, and does not require code writing, so that building maintenance personnel can also operate it simply. At the same time, its built-in machine learning algorithm can preliminarily detect abnormal situations, can preliminarily pre-clean the collected data, can reduce the load of the AI ​​model, reduce the dependence on high-performance hardware, and facilitate data visualization. The data format is universal and convenient for building maintenance personnel to use. Embodiment 2:

[0031] See also Figure 1 This embodiment provides a comprehensive management method for construction equipment. The similarities with other embodiments will not be repeated here, and the differences will be described in detail below.

[0032] See also Figures 1 to 3 In this embodiment, in step S3, the AI ​​model is deployed, and according to the energy consumption of each project area, the basic load of each device in each time period is calibrated through energy consumption diagnosis, and the optimal control scheme of each project area in the whole time period is determined. The following steps are adopted: A1: Perform energy consumption diagnosis and conduct year-on-year and month-on-month analysis on the energy consumption of energy storage energy consumption projects through a preset AI model to calibrate the basic load and additional load of the energy storage energy consumption projects in each energy consumption cycle; A2: Perform energy consumption diagnosis on the additional load of the energy storage energy consumption project in each energy consumption cycle to generate the redundant load of the energy storage energy consumption project in each energy consumption cycle, and correct the basic load through the redundant load; A3: Integrate the corrected base load and use the AI ​​model to determine the optimal control plan for each energy storage and energy consumption project throughout the entire period.

[0033] In step S3, the AI ​​model is deployed. According to the energy consumption of each project area, the basic load of each device in each time period is calibrated through energy consumption diagnosis. The following steps are adopted to perform energy consumption diagnosis, and the energy consumption items required are divided into necessary energy consumption items and environmental creation projects. The energy consumption of the environmental creation projects is analyzed year-on-year and horizontally through the preset AI model to determine the optimal control plan for the environmental creation projects throughout the entire period.

[0034] Preferably, in step S3, the energy consumption cycle includes at least one of a day, a week, a month, a year, a restricted settlement cycle, a preferential settlement cycle and a gradient settlement cycle.

[0035] When working, the restricted settlement cycle indicates the total amount of energy that the building can consume within the time or quota specified by the policy. It is an energy consumption cycle with a rated total amount of energy. The preferential settlement cycle indicates the total amount of energy that the building can consume at a preferential price within the time or quota specified by the policy. It is generally for the needs of energy conservation and emission reduction, requiring buildings to take measures to reduce energy consumption. The gradient settlement cycle is a subdivision of the preferential settlement cycle, indicating that the building can adopt corresponding optimization control plans in different gradient prices. In specific implementation, the restricted settlement cycle, gradient settlement cycle and preferential settlement cycle may be one of the days, weeks, months and years. For example, the current common peak-valley electricity policy has high electricity costs when the electricity load is large and low electricity load. At this time, different optimization control schemes can be adopted in different time periods, which can reduce the operating cost to a certain extent. For energy storage energy consumption projects, such as the optimization control of the water supply and drainage system, by continuously collecting the status information of the variable frequency domestic water pump, water supply main, water collection well and submersible sewage pump of the water supply and drainage system, detailed energy consumption data can be obtained, and water pressure changes and water consumption changes can also be obtained. Through data mining, the required information can be obtained. In the water supply and drainage system, useful information includes water pressure change report, water consumption change report and energy consumption data report of each equipment. Energy consumption diagnosis through AI model can calibrate the frequency conversion domestic water pump, water supply main, water collection well and submersible sewage pump and other equipment in a single energy consumption cycle. During the period, for example, the energy consumption in one day, that is, the basic load of the water supply and drainage system in one day, which includes information such as water consumption, sewage discharge, water use period, etc., and a series of optimization controls are performed based on this information, such as controlling the variable frequency domestic water pump to replenish the water collection well when the water supply pressure is high, and starting the submersible sewage pump to discharge sewage when the sewage pressure is low. At the same time, it can also automatically reduce the water replenishment of the water collection well on weekends or holidays, which can reduce the energy consumption of the building. Similarly, in the air-conditioning fresh air system, due to the functional overlap between the air-conditioning fresh air system and the supply and exhaust air system, energy saving can be achieved by synchronously optimizing and controlling the air-conditioning fresh air system and the supply and exhaust air system. By obtaining the basic load of the air-conditioning fresh air system, which includes the building The AI ​​​​model can simultaneously optimize and control the air-conditioning and fresh air systems and the air-conditioning and fresh air systems. When the temperature difference between indoor and outdoor is large, the power of the air-conditioning and fresh air systems is reduced, and the air supply work is transferred to the air-conditioning and fresh air systems. This can reduce the heat exchange between indoors and outdoors, thereby achieving insulation or cooling. This is repeated in sequence. Through the AI ​​​​model, the cold and heat source systems, air-conditioning and fresh air systems, air-conditioning and exhaust systems, water supply and drainage systems, intelligent lighting systems, and elevator systems are individually optimized and / or linked to optimize and control, which can greatly reduce the energy consumption of the building.

[0036] When this embodiment is working, through energy consumption diagnosis, it can calibrate the basic load and additional load of the energy storage energy consumption project in each energy consumption cycle, so as to facilitate the elimination of additional load to reduce energy consumption. At the same time, the basic load can be corrected by the additional load, which can reduce the service response time of the energy storage energy consumption project, improve the risk resistance of the energy storage energy consumption project, ensure the user experience, and realize automatic full-time optimization control of the demand energy consumption project, which can reduce the work intensity of designers and further reduce building energy consumption.

[0037] As a further improvement of this embodiment, in step S4, the following steps are also included: establishing a demand compensation path, adaptively compensating the basic load of the corresponding equipment when a demand instruction is received, and optimizing the equipment throughout the period based on the preset control node according to the compensated basic load to achieve energy consumption optimization. For example, during special holidays or specific activities, the basic load of each project area can be adjusted according to actual needs, thereby helping the AI ​​model to make corresponding customized optimization control plans, making it convenient for operators to perform customized control according to actual conditions. At the same time, it can also improve the scope of application of the comprehensive management system of building equipment, facilitate compatibility with different system functional modules, and have good versatility. Embodiment three:

[0038] See also Figure 3 This embodiment provides a building equipment integrated management system, which applies a building equipment integrated management method as in the above embodiment, including a data application layer 1, which is used to monitor and process the uploaded relevant data, perform energy-saving diagnosis, realize multi-user management and use, and perform information display and overall control. The data application layer 1 is connected to the field device layer 3 and all device data of several project areas through the network transmission layer 2; the network transmission layer 2 is used to use the existing network for encrypted data transmission; the field device layer 3 is used to automatically collect and measure the status information of the corresponding equipment in each project area, which is described in detail below.

[0039] In this embodiment, the data application layer 1 is provided with an energy consumption diagnosis module and an AI artificial intelligence system. The energy consumption diagnosis module performs energy consumption analysis on the collected status information of each device and outputs energy consumption diagnosis data to the AI ​​artificial intelligence system. The AI ​​artificial intelligence module calibrates the basic load and additional load of each device in each time period according to the energy consumption diagnosis data. The AI ​​artificial intelligence module outputs a control signal for achieving energy consumption optimization through optimized control to the corresponding device based on the basic load and additional load of each device based on a preset control node.

[0040] When this embodiment is working, it can realize a series of tasks such as automatic collection of building equipment status information, encrypted network transmission of data, building energy consumption diagnosis, and full-time energy consumption optimization control of buildings. It has a high degree of networking, automation, and intelligence, and can realize multi-user management and use, and facilitate the centralized management and decentralized control of building equipment. Through digital operation, it realizes the integration of monitoring, control, and management of building equipment. At the same time, it adopts AI artificial intelligence module to realize the optimal control of building equipment, with good energy-saving effect. It can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0041] Preferably, it also includes cold and heat source systems, air conditioning and fresh air systems, supply and exhaust air systems, water supply and drainage systems, intelligent lighting systems and elevator systems. The cold and heat source systems, air conditioning and fresh air systems, supply and exhaust air systems, water supply and drainage systems, intelligent lighting systems and elevator systems are respectively arranged in their respective project areas and are respectively connected to the field equipment layer 3 and the data application layer 1. Of course, it can also be expanded to any other type of building equipment.

[0042] In specific implementation, the cold and heat source systems are provided with at least one of a water-cooled air-conditioning unit, a chilled water circulation pump, a cooling water circulation pump and a supply and return water main pipe; the air-conditioning fresh air system is provided with at least one of a fresh air unit, an air-conditioning fan, a fresh air valve, a cold water valve and a hot water valve; the supply and exhaust air system is provided with at least one of a supply fan and an exhaust fan; the water supply and drainage system is provided with at least one of a variable frequency domestic water pump, a water supply main, a sump and a submersible sewage pump; the intelligent lighting system includes several lighting circuits; and the elevator system is provided with at least one of a passenger elevator and an escalator.

[0043] The beneficial technical effects of this embodiment include: the present invention can realize the networking, digitization and intelligent management of building equipment, facilitate the centralized management and decentralized control of building equipment, realize the integrated monitoring, control and management of building equipment through digital operation, and at the same time, adopt AI model to optimize the energy consumption of storage energy consumption projects and demand energy consumption projects separately according to the energy consumption type, and can reduce energy consumption as much as possible without affecting the experience, thereby contributing to the comprehensive management of building equipment and creating green buildings.

[0044] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Those skilled in the art should understand that the present invention includes but is not limited to the contents described in the drawings and the above specific embodiments. Any modification that does not deviate from the functional and structural principles of the present invention will be included in the scope of the claims.

Claims

1. A method for comprehensive management of construction equipment, characterized in that: The following steps are involved: S1: Initialize the building equipment integrated management system, connect all equipment in several project areas, and divide several project areas into energy storage energy consumption projects and demand energy consumption projects according to energy consumption types and energy consumption relevance; S2: Automatically collect and measure the status information of the equipment corresponding to each project area, and obtain the energy consumption of each project area through data processing and analysis; S3: Deploy AI models to calibrate the basic load of each device in each time period through energy consumption diagnosis based on the energy consumption of each project area, and determine the optimal control plan for each project area throughout the entire time period; S4: Carry out energy consumption optimization work, and optimize the control of the corresponding equipment at all times based on the preset control nodes according to the optimization control plan of each project area to achieve energy consumption optimization.

2. A construction equipment integrated management method according to claim 1, characterized in that: In step S2, the status information of the equipment corresponding to each project area is automatically collected and measured. When the energy consumption of each project area is obtained through data processing and analysis, the following steps are adopted: traverse all equipment, automatically collect the status information of each equipment and the environmental information of the project area to which it belongs, obtain the real-time power consumption data of each equipment by performing data mining on the status information of each equipment, and support daily, weekly, monthly, yearly and customized data calls through data recording.

3. A method for comprehensive management of construction equipment according to claim 2, characterized in that: In step S2, when the energy consumption of each project area is obtained through data processing and analysis, the following steps are adopted to obtain at least one of the total energy consumption report, classified energy consumption report, year-on-year energy consumption report, month-on-month energy consumption report, itemized energy consumption report, energy plan report, energy plan report, actual comparison report and energy loss report of each project area through data processing.

4. A method for comprehensive management of construction equipment according to claim 1, characterized in that: In step S3, the AI ​​model is deployed, and according to the energy consumption of each project area, the basic load of each device in each time period is calibrated through energy consumption diagnosis, and the optimal control scheme for each project area in the whole time period is determined, and the following steps are adopted: A1: Perform energy consumption diagnosis and conduct year-on-year and month-on-month analysis on the energy consumption of energy storage energy consumption projects through a preset AI model to calibrate the basic load and additional load of the energy storage energy consumption projects in each energy consumption cycle; A2: Perform energy consumption diagnosis on the additional load of the energy storage energy consumption project in each energy consumption cycle to generate the redundant load of the energy storage energy consumption project in each energy consumption cycle, and correct the basic load through the redundant load; A3: Integrate the corrected base load and use the AI ​​model to determine the optimal control plan for each energy storage and energy consumption project throughout the entire period.

5. A method for comprehensive management of construction equipment according to claim 4, characterized in that: In step S3, the energy consumption cycle includes at least one of a day, a week, a month, a year, a restricted settlement cycle, a preferential settlement cycle and a gradient settlement cycle.

6. A method for comprehensive management of construction equipment according to claim 1, characterized in that: In step S3, an AI model is deployed, and according to the energy consumption of each project area, when the basic load of each device in each time period is calibrated through energy consumption diagnosis, the following steps are adopted to perform energy consumption diagnosis, and the required energy consumption items are divided into necessary energy consumption items and environmental creation projects. The energy consumption of the environmental creation project is analyzed year-on-year and horizontally through a preset AI model to determine the optimal control plan for the environmental creation project throughout the entire period.

7. A method for comprehensive management of construction equipment according to claim 1, characterized in that: In the step S4, the following steps are also included: establishing a demand compensation path, adaptively compensating the basic load of the corresponding equipment when a demand instruction is received, and optimizing the equipment throughout the period based on the preset control node according to the compensated basic load to achieve energy consumption optimization.

8. A construction equipment integrated management system, using a construction equipment integrated management method as claimed in any one of claims 1 to 7, characterized in that: include: A data application layer (1) is used to monitor and process uploaded relevant data, perform energy-saving diagnosis, realize multi-user management and use, and perform information display and overall control. The data application layer (1) is connected to the field device layer (3) and all device data of several project areas through the network transmission layer (2); Network transport layer (2), used to encrypt and transmit data using the existing network; The field equipment layer (3) is used to automatically collect and measure the status information of the equipment corresponding to each project area; The data application layer (1) is provided with an energy consumption diagnosis module and an AI artificial intelligence system. The energy consumption diagnosis module performs energy consumption analysis on the collected status information of each device and outputs energy consumption diagnosis data to the AI ​​artificial intelligence system. The AI ​​artificial intelligence module calibrates the basic load and additional load of each device in each time period based on the energy consumption diagnosis data. The AI ​​artificial intelligence module outputs a control signal for achieving energy consumption optimization through optimization control to the corresponding device based on the basic load and additional load of each device based on a preset control node.

9. A construction equipment integrated management system according to claim 8, characterized in that: It also includes a cold and heat source system, an air conditioning and fresh air system, an air supply and exhaust system, a water supply and drainage system, an intelligent lighting system and an elevator system. The cold and heat source system, the air conditioning and fresh air system, the air supply and exhaust system, the water supply and drainage system, the intelligent lighting system and the elevator system are respectively arranged in their respective corresponding project areas and are respectively connected to the field equipment layer (3) and the data application layer (1).

10. A construction equipment integrated management system according to claim 9, characterized in that: The cold and heat source system is provided with at least one of a water-cooled air-conditioning unit, a chilled water circulation pump, a cooling water circulation pump and a supply and return water main pipe; the air-conditioning fresh air system is provided with at least one of a fresh air unit, an air-conditioning fan, a fresh air valve, a cold water valve and a hot water valve; the air supply and exhaust system is provided with at least one of a supply fan and an exhaust fan; the water supply and drainage system is provided with at least one of a variable frequency domestic water pump, a water supply main, a water collection well and a submersible sewage pump; the intelligent lighting system includes several lighting circuits; and the elevator system is provided with at least one of a passenger elevator and an escalator.

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