CN114996979A - Method and system for managing carbon-capable data, electronic device and storage medium - Google Patents
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Abstract
The invention discloses a method and a system for managing energy carbon data, electronic equipment and a storage medium, and belongs to the technical field of carbon emission management. Wherein, the method comprises the following steps: acquiring energy carbon data generated by an energy system and other carbon emission sources; monitoring and managing carbon emission data in the energy-carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result; and performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report, and displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result. According to the invention, the energy-saving diagnosis function of the energy-saving carbon data is added, and the management efficiency of the energy-saving carbon data is improved.
Description
Technical Field
The invention relates to the technical field of carbon emission management and building energy conservation, in particular to a method and a system for managing energy carbon data, electronic equipment and a storage medium.
Background
As global climate warming and extreme climate are frequently generated, greenhouse effect is more and more intensified, and the search for an efficient and low-carbon sustainable economic development mode has become a hot spot of the world economic development. The building is used as one of three fields (industry, traffic and building) of energy consumption, and energy conservation and emission reduction become key tasks. At present, a large number of key energy consumption units and building energy consumption need to meet the carbon emission limit index, namely the requirement of annual total emission. For the limit management of carbon emission of buildings, daily operation needs to be supervised and energy consumption is guided, and the risk of carbon emission overrun is found in time.
In the related technology, a generally adopted energy and carbon management mode is to temporarily test and count electricity consumption, water consumption and gas consumption when a user needs to know carbon energy efficiency, and the mode can only know the carbon emission condition of the current energy type, cannot know more detailed energy and carbon condition, has no guidance effect on daily energy saving, is difficult to finely control, and influences the management efficiency of energy and carbon data.
In view of the above problems in the related art, no effective solution has been found so far.
Disclosure of Invention
The invention provides a method and a system for managing energy carbon data, electronic equipment and a storage medium, which aim to solve the technical problem of low energy carbon data management efficiency in the related art.
According to an aspect of an embodiment of the present application, there is provided a method for managing energy-carbon data, including: acquiring energy carbon data generated by an energy system and other carbon emission sources; monitoring and managing carbon emission data in the energy-carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result; and performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report, and displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
Further, monitoring and managing the carbon emission data in the energy carbon data, and obtaining a carbon emission monitoring result comprises: divide into a plurality of functional area to whole building space according to the function type, wherein, functional area includes: above ground floors, ground public areas, underground garages; for each function area, dividing the function area into a plurality of subspaces according to function types, wherein the subspaces comprise at least one of the following: offices, intensive offices, conference rooms, lobby halls, rest rooms, equipment rooms, and storehouses; and monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Further, monitoring and managing the carbon emission data in the energy carbon data, and obtaining a carbon emission monitoring result comprises: dividing the whole building space into a plurality of emission areas according to the type of the carbon emission source, wherein the emission areas comprise: non-renewable energy sources, air-conditioning refrigerants, garage mobile combustion sources, waste incineration; for each discharge area, dividing the discharge area into a plurality of subspaces according to the equipment type, wherein the equipment type comprises at least one of the following: an air conditioning system, a lighting system and a fresh air system; and monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Further, the energy utilization system comprises an air conditioning system, and the energy-saving diagnosis of the energy utilization system to obtain the energy-saving diagnosis report comprises: collecting operating parameters of an air conditioner, wherein the operating parameters of the air conditioner comprise operating parameters corresponding to a cold and heat source host, an air conditioning unit, a transmission and distribution system, a fresh air system and ventilator equipment; performing energy-saving diagnosis on the air conditioner host, the air conditioner air system and the air conditioner water system according to the operation parameters to obtain diagnosis results; and comparing the diagnosis result with a preset diagnosis rule base to generate an energy-saving diagnosis report of the air conditioning system.
Further, the energy utilization system comprises a lighting system, and performing energy-saving diagnosis on the energy utilization system to obtain an energy-saving diagnosis report comprises: collecting the power load, the power utilization time and the power utilization rule of the lighting system; and comparing the power utilization load, the power utilization time and the power utilization rule with a preset power utilization load, a preset power utilization time and a power utilization typical rule to generate an energy-saving diagnosis report of the lighting system.
Further, the target energy consumption system comprises a fan system, a water pump system and a motor system, energy efficiency analysis evaluation and energy-saving effect prediction are carried out on the target energy consumption system, and the obtained prediction simulation result comprises the following steps: performing energy efficiency analysis and evaluation on the fan system, the water pump system and the motor system, and establishing an energy consumption analysis database model; and predicting the energy-saving effect of the upgraded fan system, the upgraded water pump system and the upgraded motor system according to the energy consumption analysis database model to obtain a predicted simulation result.
Further, according to the energy consumption analysis database model, energy-saving effect prediction is carried out on the upgraded fan system, water pump system and motor system, and the obtained prediction simulation result comprises the following steps: replacing with a high-efficiency motor, carrying out variable frequency speed regulation on a fan or a water pump, and transforming with a magnetic suspension fan or a water pump; and performing prediction simulation on the energy-saving effect corresponding to the replaced motor, the variable-frequency and variable-speed fan or water pump and the modified magnetic suspension fan or water pump according to the energy consumption analysis database model to obtain a prediction simulation result.
According to another aspect of the embodiment of the application, a management system of energy carbon data is further provided, and the management system comprises an internet of things management module, a carbon emission management module, an energy-saving diagnosis module, an intelligent management and control module and a display screen, wherein the display screen is connected with the internet of things management module, the carbon emission management module, the energy-saving diagnosis module and the intelligent management and control module, and the internet of things management module is used for acquiring energy carbon data generated by an energy consumption system and other carbon emission sources; the carbon emission management module is used for monitoring and managing carbon emission data in the energy carbon data to obtain a carbon emission monitoring result; the energy-saving diagnosis module is used for performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result; the intelligent management and control module is used for performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report; the display screen is used for displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
Further, the management system of the carbon-enabled data includes a space management module, the space management module is used for dividing the whole building space into a plurality of functional areas according to the functional types, wherein the functional areas include: above ground floors, ground public areas, underground garages; for each function area, dividing the function area into a plurality of subspaces according to function types, wherein the subspaces comprise at least one of the following: offices, intensive offices, conference rooms, lobby halls, rest rooms, equipment rooms, and storehouses; and the carbon emission management module is used for monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Further, the space management module is further configured to divide the entire building space into a plurality of emission areas according to the type of the carbon emission source, where the emission areas include: non-renewable energy sources, air-conditioning refrigerants, garage mobile combustion sources, waste incineration; for each discharge area, dividing the discharge area into a plurality of subspaces according to the equipment type, wherein the equipment type comprises at least one of the following: an air conditioning system, a lighting system and a fresh air system; and the carbon emission management module is used for monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Further, the energy-saving diagnosis module comprises an air conditioner diagnosis module for collecting the operation parameters of the air conditioner, wherein the operation parameters of the air conditioner comprise the operation parameters corresponding to a cold and heat source host, an air conditioning unit, a transmission and distribution system, a fresh air system and ventilator equipment; performing energy-saving diagnosis on the air conditioner host, the air conditioner air system and the air conditioner water system according to the operation parameters to obtain diagnosis results; and comparing the diagnosis result with a preset diagnosis rule base to generate an energy-saving diagnosis report of the air conditioning system.
Further, the energy-saving diagnosis module comprises an illumination diagnosis module, and is used for collecting the power utilization load, the power utilization time and the power utilization rule of the illumination system; and comparing the power utilization load, the power utilization time and the power utilization rule with a preset power utilization load, a preset power utilization time and a power utilization typical rule to generate an energy-saving diagnosis report of the lighting system.
Further, the energy-saving diagnosis module comprises a target energy consumption system energy efficiency analysis and evaluation module which is used for carrying out energy efficiency analysis and evaluation on the fan system, the water pump system and the motor system and establishing an energy consumption analysis database model; and predicting the energy-saving effect of the upgraded fan system, the upgraded water pump system and the upgraded motor system according to the energy consumption analysis database model to obtain a predicted simulation result.
Further, the energy-saving diagnosis module comprises an energy-saving effect prediction module which is used for replacing a high-efficiency motor, carrying out frequency conversion and speed regulation on a fan or a water pump and transforming the fan or the water pump by using a magnetic suspension fan or a water pump; and performing predictive simulation on the energy-saving effect corresponding to the replaced motor, the frequency-variable speed-regulated fan or water pump and the transformed magnetic suspension fan or water pump according to the energy consumption analysis database model to obtain a predictive simulation result.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program that executes the above steps when the program is executed.
According to another aspect of the embodiments of the present application, there is also provided an electronic device, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein: a memory for storing a computer program; a processor for executing the program stored in the memory to execute the steps of the method.
Embodiments of the present application also provide a computer program product containing instructions, which when run on a computer, cause the computer to perform the steps of the above method.
According to the invention, energy carbon data generated by an energy consumption system and other carbon emission sources are obtained; monitoring and managing carbon emission data in the energy-carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on an energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result; the energy-saving diagnosis method comprises the steps of performing energy-saving optimization control on an energy-using system based on an energy-saving diagnosis report, displaying a carbon emission monitoring result, an energy-saving diagnosis report and a prediction simulation result, performing detection management on carbon emission data, performing energy-saving diagnosis on the energy-using system, performing energy efficiency analysis evaluation and energy-saving effect prediction on target energy-using equipment, displaying the obtained detection result, the energy-saving diagnosis report and the prediction simulation result, realizing visualization of energy-carbon data, performing refined intelligent control on the energy-using system based on the energy-saving diagnosis report, knowing more detailed energy-carbon conditions and improving management efficiency of the energy-carbon data.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a block diagram of a hardware configuration of a computer according to an embodiment of the present invention;
fig. 2 is a flowchart of a method of managing energy carbon data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a management system for carbon-enabled data according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort shall fall within the protection scope of the present application. It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the accompanying drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
The method provided by the first embodiment of the present application may be executed in a mobile phone, a computer, a tablet or a similar computing device. Taking an example of the present invention running on a computer, fig. 1 is a block diagram of a hardware structure of a computer according to an embodiment of the present invention. As shown in fig. 1, the computer may include one or more (only one shown in fig. 1) processors 102 (the processor 102 may include, but is not limited to, a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data, and optionally, a transmission device 106 for communication functions and an input-output device 108. It will be appreciated by those of ordinary skill in the art that the configuration shown in FIG. 1 is illustrative only and is not intended to limit the configuration of the computer described above. For example, a computer may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1.
The memory 104 may be used to store a computer program, for example, a software program and a module of an application software, such as a computer program corresponding to a video motion and static rate identification method in an embodiment of the present invention, and the processor 102 executes various functional applications and data processing by running the computer program stored in the memory 104, so as to implement the method described above. The memory 104 may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory located remotely from the processor 102, which may be connected to the computer through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission device 106 is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer. In one example, the transmission device 106 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmission device 106 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In the present embodiment, a method for managing energy carbon data is provided, and fig. 2 is a flowchart of a method for managing energy carbon data according to an embodiment of the present invention, as shown in fig. 2, the flowchart includes the following steps:
step S10, acquiring energy carbon data generated by an energy system and other carbon emission sources;
in this embodiment, with energy system including energy systems such as air conditioning system, lighting system, new trend system in the building, other emission sources include emission sources such as air conditioner refrigerant, garage removal combustion source, msw incineration, each energy system correspondence includes a plurality of energy equipment, gathers each energy equipment and the energy data that other emission sources produced through thing networking management module.
Step S20, monitoring and managing carbon emission data in the energy-carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result;
and step S30, performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report, and displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
The carbon efficiency and energy efficiency assessment and energy saving diagnosis method is widely suitable for various public buildings, including office buildings, commercial buildings, tourist buildings, science and education and health buildings, communication buildings, transportation rooms and other operation units or enterprises to carry out carbon efficiency and energy efficiency analysis and energy saving diagnosis work. The method comprises the steps of monitoring, calculating and statistically analyzing carbon emission data in the carbon emission data through a carbon emission management module, generating a carbon emission report and a report, serving as a carbon emission monitoring result, carrying out expert diagnosis on energy utilization systems (an air conditioning system, a lighting system, a fresh air system and the like) through an energy-saving diagnosis module to obtain an energy-saving diagnosis report, carrying out energy efficiency analysis evaluation and energy-saving effect prediction on a target energy utilization system to obtain a prediction simulation result, wherein the target energy utilization system comprises a fan system, a water pump system and a motor system, and carrying out energy-saving optimization control on the air conditioning system, the lighting system, the fresh air system and the like based on the energy-saving diagnosis report, including environment management of an underground garage and energy-saving optimization control of a boiler system. And displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result in a display screen, such as displaying a plane layout effect graph, real-time state parameters of lighting, a socket and an air conditioning system, wherein the display effect of the energy-saving diagnosis report (monitoring parameters of the lighting system and the air conditioning system) is a 3D or 2.5D effect graph. In some examples, the display screen may be a carbon bulletin board large screen displaying carbon data overview, carbon statistical analysis, lighting system and air conditioning system parameter monitoring, alarm statistical analysis, intelligent management and control statistics and prediction, performance indicators; the carbon number data overview comprises real-time data and accumulated amount monitoring of carbon emission, various energy consumption, people flow and air quality, and the carbon number data overview can support dragging and self-defining of each module in the carbon signboard large screen compared with the current and previous periods according to the year, month and day, and the carbon signboard can be displayed on a PC (personal computer) end, a mobile phone end and a projection multi-screen. The system can be used for space management configuration, air conditioner panel configuration, air quality configuration, rated parameter configuration of a fan and a pump, alarm condition configuration of other electric systems or equipment and the like, and building basic attribute information configuration through a configuration center. And the Internet of things management module is used for managing a system, data acquisition equipment, alarm pushing, messages and the like. The object of the alarm push configuration can be a computer, a notebook, a mobile phone and a WeChat terminal. And the personnel can be flexibly configured according to different levels. The users are divided into administrators, general demonstration users, short-term demonstration users and the like; the data acquisition equipment configuration comprises an equipment list, equipment details and an attribute management function, and also has a classification label function and inquiry according to types. And seamless data integration with various intelligent hardware and third-party systems is realized. The embodiment realizes the carbon calculation of multiple emission sources, energy conservation and carbon reduction, the whole-process management of energy conservation and carbon reduction, the prediction of the prior energy-saving effect, the high-efficiency operation monitoring during the operation, the periodic energy-saving diagnosis and the verification of the post-operation energy-saving effect, and the carbon reduction and the energy conservation in the building field are realized through intelligent digitalization.
Through the steps, carbon emission data are detected and managed, the energy-saving diagnosis is carried out on the energy-using system, the target energy-using equipment is subjected to energy efficiency analysis evaluation and energy-saving effect prediction, the obtained detection result, the energy-saving diagnosis report and the prediction simulation result are displayed, the visualization of the energy-using carbon data is realized, the energy-using system is intelligently controlled in a refined mode based on the energy-saving diagnosis report, more detailed energy-using carbon conditions can be obtained, and the management efficiency of the energy-using carbon data is improved.
In a first implementation manner of this embodiment, monitoring and managing the carbon emission data in the energy carbon data, and obtaining the carbon emission monitoring result includes:
s201, dividing the whole building space into a plurality of functional areas according to function types, wherein the functional areas comprise: above ground floor, ground public area, underground garage;
s202, aiming at each function area, dividing the function area into a plurality of subspaces according to function types, wherein the subspaces comprise at least one of the following: offices, intensive offices, conference rooms, lobby halls, rest rooms, equipment rooms, and storehouses;
s203, monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
The energy carbon number data such as the power consumption that each energy system in the whole building space produced, water and gas consumption are gathered, carry out the statistical analysis of basis to this energy carbon number data according to the space through space energy carbon management module, divide whole building space into a plurality of function region according to the function type, wherein, the function region includes: above ground floors, ground public areas, underground garages; for each function area, dividing the function area into a plurality of subspaces according to function types, wherein the subspaces comprise at least one of the following: offices, intensive offices, conference rooms, lobby halls, rest rooms, equipment rooms, and storehouses; monitoring and managing carbon emission data generated by energy-using equipment in the subspace to obtain a carbon emission monitoring result, wherein the monitoring and managing of the carbon emission data comprises carbon overview, carbon calculation, carbon statistics, carbon accounting, a carbon report and a carbon report, and in one example, real-time monitoring, statistical analysis, same-proportion ring ratio analysis, carbon alarm and carbon emission prediction are performed on the carbon emission data generated by the energy-using equipment and other carbon emission sources in the subspace.
The whole building space is divided into smaller spaces of different floors, different tenants or different room types, fine management of energy carbon is achieved, ranking comparison of the quantity of the energy carbon of different floors, different tenants and different room types is achieved, problems existing in the use process of the energy carbon are found out in a supporting mode, and the energy-saving and carbon-reducing potential is deeply excavated.
In a second implementation manner of this embodiment, monitoring and managing carbon emission data in the energy carbon data, and obtaining a carbon emission monitoring result includes:
s204, dividing the whole building space into a plurality of emission areas according to the types of carbon emission sources, wherein the emission areas comprise: non-renewable energy sources, air-conditioning refrigerants, garage mobile combustion sources, and waste incineration;
s205, dividing each discharge area into a plurality of subspaces according to equipment types, wherein the equipment types comprise at least one of the following: an air conditioning system, a lighting system and a fresh air system;
and S206, monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Carry out the statistical analysis of basis to this ability carbon data according to the space through space ability carbon management module, divide into a plurality of emission area to whole building space according to carbon emission source type, wherein, the emission area includes: non-renewable energy sources, air-conditioning refrigerants, garage mobile combustion sources, and waste incineration; for each discharge area, dividing the discharge area into a plurality of subspaces according to the type of equipment, wherein the type of equipment comprises at least one of the following: the air conditioning system, the lighting system and the fresh air system are used for carrying out carbon calculation on carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result. In one example, the carbon calculations include non-renewable energy, i.e., traditional energy carbon calculations, the non-renewable energy carbon calculations specifically including carbon calculations for electricity usage, carbon emissions calculations for central cooling, central heating, and other energy types; the carbon calculation also comprises the carbon reduction amount calculation of carbon reduction systems of renewable energy photovoltaic, wind power generation and the like; carbon calculations also include carbon emissions from air conditioning refrigerants, underground garage mobile combustion sources, carbon emissions statistics from garbage disposal, fire extinguisher usage, etc. And generating corresponding carbon accounting reports for the building cluster, the whole building and the first floor.
In a third embodiment of this embodiment, the energy utilization system includes an air conditioning system, and performing energy saving diagnosis on the energy utilization system to obtain the energy saving diagnosis report includes:
s01, collecting operation parameters of the air conditioner, wherein the operation parameters of the air conditioner comprise operation parameters corresponding to a cold and heat source host, an air conditioner unit, a transmission and distribution system, a fresh air system and ventilator equipment;
s02, performing energy-saving diagnosis on the air conditioner host, the air conditioner air system and the air conditioner water system according to the operation parameters to obtain a diagnosis result;
and S03, comparing the diagnosis result with a preset diagnosis rule base, and generating an energy-saving diagnosis report of the air conditioning system.
In the example of energy-saving diagnosis of the air conditioning system, the operation parameters of the air conditioner are collected, wherein the operation parameters of the air conditioner comprise a cold and heat source host, an air conditioning unit, a transmission and distribution system, a fresh air system and a ventilator device.
In this embodiment, the energy usage system includes a lighting system, and performing the energy saving diagnosis on the energy usage system to obtain the energy saving diagnosis report includes:
s04, collecting the power load, the power consumption time and the power consumption rule of the lighting system;
and S05, comparing the power utilization load, the power utilization time and the power utilization rule with a preset power utilization load, a preset power utilization time and a typical power utilization rule to generate an energy-saving diagnosis report of the lighting system.
In the example of performing energy-saving diagnosis on the lighting system, the power consumption load, the power consumption time and the power consumption law of the lighting system are collected, wherein the power consumption law, such as which time period the lighting system is usually turned on or turned off, is compared with the preset power consumption load, the preset power consumption time and the typical power consumption law, so that an energy-saving diagnosis report of the lighting system is generated, and then the problem of high energy consumption of the lighting system can be accurately found.
In this embodiment, the target energy consumption system includes a fan system, a water pump system, and a motor system, and the energy efficiency analysis and evaluation and the energy saving effect prediction are performed on the target energy consumption system, and obtaining the prediction simulation result includes:
s06, performing energy efficiency analysis and evaluation on the fan system, the water pump system and the motor system, and establishing an energy consumption analysis database model;
and S07, predicting the energy-saving effect of the fan system, the water pump system and the motor system after the carbon-reduction energy-saving transformation and upgrading according to the energy consumption analysis database model to obtain a prediction simulation result.
Energy conservation in the building industry is mainly realized by energy efficiency projects, and the energy conservation project comprises motor driving system projects, such as a water pump system and a fan system; and non-motor energy efficiency items such as high-efficiency lighting, high-efficiency refrigeration, air conditioning and the like are also included. The energy-saving measures of the heating, ventilating and air conditioning system are as follows: cold and heat source energy conservation, water pump energy conservation, air conditioning unit and tail end energy conservation and the like. Energy efficiency analysis is a necessary prerequisite for energy-saving reconstruction investment activities.
The water pump system is one of the important energy utilization systems commonly used in the fields of buildings and industry, and the energy consumption of the water pump system is large. The energy-saving water pump system has the advantages that the system design is unreasonable, the energy consumption of the water pump can be affected by system aging or efficiency loss, the energy saving of the water pump can be realized by changing the rotating speed, cutting the impeller, optimizing a pipe network, accurately selecting types, improving a valve, upgrading a high-efficiency impeller and the like, the water pump only has the optimal energy efficiency at a design working condition point, the production fullness degree and the design deviation are affected in most cases, the water pump works and runs off the design working condition, so that the real-time energy efficiency analysis of the water pump system is necessary, the energy efficiency rules of the water pump system under different loads are explored, and the maximum energy-saving potential of the water pump system is excavated. And an auxiliary decision is provided for energy efficiency improvement and energy-saving transformation of the water pump. The running frequency of the motor is automatically adjusted according to the pressure of the pipe network, so that the water pump runs in a high-efficiency area all weather, and the maximum energy-saving effect is achieved.
The energy-saving principle of the fan system is the same as that of the water pump system, and the air quantity measurement deviation is often greatly fluctuated in an actual scene, so that the efficiency distribution cloud chart obtained by analyzing the fan system is diffused, the statistical analysis is difficult, and great troubles are brought to energy-saving prediction.
The efficiency of the permanent magnet high-efficiency motor in the motor system is up to more than 94%, and is improved by more than 10% compared with the traditional motor. The method is widely applied to the fields of buildings and industry, such as electric power, heat power production, urban water supply, sewage treatment and the like, effectively reduces the energy consumption of a motor system, and accords with the national sustainable development strategy.
In one example, energy efficiency analysis and evaluation are carried out on a fan, a water pump and a motor system, energy efficiency analysis and evaluation on the heavy-point energy consumption equipment is realized by carrying out analysis and diagnosis on the energy efficiencies of a permanent magnet motor, a common asynchronous motor, a high-efficiency fan and a water pump, and an energy consumption analysis database model is established. The method has the advantages of calculating the carbon emission of all emission sources, finding out the energy-saving and carbon-reducing opportunities, evaluating the energy-saving potential, predicting the energy-saving effect, keeping the efficient operation of the system and equipment, verifying and evaluating the energy-saving transformation effect, and realizing the efficient management of the carbon emission generated by the building.
In this embodiment, the energy saving effect prediction is performed on the fan system, the water pump system and the motor system after the carbon reduction energy saving transformation and upgrade according to the energy consumption analysis database model, and the obtaining of the prediction simulation result includes:
s071, replacing the fan or the water pump by using a high-efficiency motor, carrying out variable-frequency speed regulation on the fan or the water pump, and transforming the fan or the water pump by using a magnetic suspension fan or a water pump;
and S072, performing prediction simulation on energy-saving effects corresponding to the replaced motor, the frequency-conversion speed-regulation fan or water pump and the transformed magnetic suspension fan or water pump according to the energy consumption analysis database model to obtain a prediction simulation result.
The method comprises the steps of replacing the fan or the water pump by using a high-efficiency motor, carrying out frequency conversion and speed regulation on the fan or the water pump, transforming the fan or the water pump by using a magnetic suspension fan or the water pump, and carrying out prediction and simulation on energy-saving effects corresponding to the replaced motor, the fan or the water pump after frequency conversion and speed regulation and the transformed magnetic suspension fan or the water pump to obtain a prediction and simulation result. The upgrading of a common motor into a high-efficiency motor is realized; predicting the energy-saving effect after replacing and upgrading the high-efficiency fan or the water pump; predicting the energy-saving effect of the variable frequency control of the high-efficiency fan or water pump; the energy-saving effect prediction after the magnetic suspension fan or water pump system is upgraded provides effective early-stage guidance for energy-saving service, and greatly reduces the risk of energy-saving investment activities.
Furthermore, an energy-saving target can be set, the overall carbon emission and the energy-saving target in the carbon emission monitoring result are managed, if the energy-saving target is set to be energy consumption which needs to be saved compared with the energy consumption which needs to be saved in the last year, the classified management, the contribution ratio comparative analysis and the energy-saving effect verification of each energy-saving and carbon-reducing project and technology are realized. The aim is to improve the management level of the carbon-reducing and energy-saving industry of buildings, improve the operating efficiency of energy equipment, improve the carbon efficiency, realize accurate carbon calculation and effective carbon reduction, effectively improve the carbon efficiency in the field of buildings, complete the overall carbon emission double-control target of areas, parks and building clusters, and promote the carbon to reach the peak carbon neutralization target.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
In this embodiment, a management system for carbon data is further provided, which is used to implement the foregoing embodiments and preferred embodiments, and the description of the implementation is omitted here. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 3 is a block diagram of a structure of a management system of carbon-capable data according to an embodiment of the present invention, and as shown in fig. 3, the management system 1 of carbon-capable data includes: an internet of things management module 6, a carbon emission management module 3, an energy-saving diagnosis module 4, an intelligent management and control module 5 and a display screen 2, wherein the display screen 2 is connected with the internet of things management module 6, the carbon emission management module 3, the energy-saving diagnosis module 4 and the intelligent management and control module 5,
the internet of things management module 6 is used for acquiring energy carbon data generated by an energy consumption system and other carbon emission sources;
the carbon emission management module 3 is used for monitoring and managing carbon emission data in the energy carbon data to obtain a carbon emission monitoring result;
the energy-saving diagnosis module 4 is used for performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result;
the intelligent management and control module 5 is configured to perform energy-saving optimization control on the energy consumption system based on the energy-saving diagnosis report;
and the display screen 2 is used for displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
Optionally, the management system of the carbon-enabled data includes a space management module, the space management module is configured to divide the whole building space into a plurality of functional areas according to the functional types, wherein the functional areas include: above ground floors, ground public areas, underground garages; for each function area, dividing the function area into a plurality of subspaces according to function types, wherein the subspaces comprise at least one of the following: offices, intensive offices, conference rooms, lobby halls, rest rooms, equipment rooms, and storehouses; and the carbon emission management module is used for monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Optionally, the space management module is further configured to divide the entire building space into a plurality of emission areas according to carbon emission types, where the emission areas include: non-renewable energy sources, air-conditioning refrigerants, garage mobile combustion sources, waste incineration; for each discharge area, dividing the discharge area into a plurality of subspaces according to the equipment type, wherein the equipment type comprises at least one of the following: an air conditioning system, a lighting system and a fresh air system; and the carbon emission management module is used for monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
Optionally, the energy-saving diagnosis module includes an air conditioner diagnosis module, configured to collect operation parameters of an air conditioner, where the operation parameters of the air conditioner include operation parameters corresponding to a cold and heat source host, an air conditioning unit, a transmission and distribution system, a fresh air system, and a ventilator device; performing energy-saving diagnosis on the air conditioner host, the air conditioner air system and the air conditioner water system according to the operation parameters to obtain diagnosis results; and comparing the diagnosis result with a preset diagnosis rule base to generate an energy-saving diagnosis report of the air conditioning system.
Optionally, the energy-saving diagnosis module includes an illumination diagnosis module, and is configured to collect power consumption load, power consumption time, and power consumption law of the illumination system; and comparing the power utilization load, the power utilization time and the power utilization rule with a preset power utilization load, a preset power utilization time and a power utilization typical rule to generate an energy-saving diagnosis report of the lighting system.
Optionally, the energy-saving diagnosis module includes a target energy consumption system energy efficiency analysis and evaluation module, and is configured to perform energy efficiency analysis and evaluation on the fan system, the water pump system, and the motor system, and establish an energy consumption analysis database model; and predicting the energy-saving effect of the upgraded fan system, the upgraded water pump system and the upgraded motor system according to the energy consumption analysis database model to obtain a predicted simulation result.
Optionally, the energy-saving diagnosis module comprises an energy-saving effect prediction module, which is used for replacing a high-efficiency motor, performing frequency conversion and speed regulation on a fan or a water pump, and transforming the fan or the water pump by using a magnetic suspension fan or a water pump; and performing predictive simulation on the energy-saving effect corresponding to the replaced motor, the frequency-variable speed-regulated fan or water pump and the transformed magnetic suspension fan or water pump according to the energy consumption analysis database model to obtain a predictive simulation result. It should be noted that, the above modules may be implemented by software or hardware, and for the latter, the following may be implemented, but not limited to: the modules are all positioned in the same processor; alternatively, the modules are respectively located in different processors in any combination.
Example 3
Embodiments of the present invention also provide a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, acquiring energy carbon data generated by the energy system and other carbon emission sources;
s2, monitoring and managing carbon emission data in the energy-carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result;
and S3, performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report, and displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
Optionally, in this embodiment, the storage medium may include, but is not limited to: various media capable of storing computer programs, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Embodiments of the present invention also provide an electronic device comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the steps of any of the above method embodiments.
Optionally, the electronic device may further include a transmission device and an input/output device, wherein the transmission device is connected to the processor, and the input/output device is connected to the processor.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, acquiring energy carbon data generated by the energy system and other carbon emission sources;
s2, monitoring and managing carbon emission data in the energy carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result;
and S3, performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report, and displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation manners, and this embodiment is not described herein again.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present application, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present application and it should be noted that those skilled in the art can make several improvements and modifications without departing from the principle of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.
Claims (10)
1. A method for managing energy-carbon data, the method comprising:
acquiring energy carbon data generated by an energy system and other carbon emission sources;
monitoring and managing carbon emission data in the energy-carbon data to obtain a carbon emission monitoring result, performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result;
and performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report, and displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
2. The method of claim 1, wherein monitoring and managing carbon emission data in the energy carbon data to obtain a carbon emission monitoring result comprises:
divide into a plurality of functional area to whole building space according to the function type, wherein, functional area includes: above ground floors, ground public areas, underground garages;
for each function area, dividing the function area into a plurality of subspaces according to function types, wherein the subspaces comprise at least one of the following: offices, intensive offices, conference rooms, lobby halls, rest rooms, equipment rooms, and storehouses;
and monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
3. The method of claim 1, wherein monitoring and managing carbon emission data in the energy carbon data to obtain a carbon emission monitoring result comprises:
dividing the whole building space into a plurality of emission areas according to the types of carbon emission sources, wherein the emission areas comprise: non-renewable energy sources, air-conditioning refrigerants, garage mobile combustion sources, and waste incineration;
for each discharge area, dividing the discharge area into a plurality of subspaces according to equipment types, wherein the equipment types comprise at least one of the following: an air conditioning system, a lighting system and a fresh air system;
and monitoring and managing carbon emission data generated by the energy utilization system and other carbon emission sources in the subspace to obtain a carbon emission monitoring result.
4. The method of claim 1, wherein the energy usage system comprises an air conditioning system, and performing an energy saving diagnostic on the energy usage system to obtain an energy saving diagnostic report comprises:
collecting operating parameters of an air conditioner, wherein the operating parameters of the air conditioner comprise operating parameters corresponding to a cold and heat source host, an air conditioning unit, a transmission and distribution system, a fresh air system and ventilator equipment;
performing energy-saving diagnosis on the air conditioner host, the air conditioner air system and the air conditioner water system according to the operation parameters to obtain diagnosis results;
and comparing the diagnosis result with a preset diagnosis rule base to generate an energy-saving diagnosis report of the air conditioning system.
5. The method of claim 1, wherein the energy usage system comprises a lighting system, and performing an energy conservation diagnosis on the energy usage system, resulting in an energy conservation diagnosis report comprises:
collecting the power load, the power utilization time and the power utilization rule of the lighting system;
and comparing the power utilization load, the power utilization time and the power utilization rule with a preset power utilization load, a preset power utilization time and a power utilization typical rule to generate an energy-saving diagnosis report of the lighting system.
6. The method according to claim 1, wherein the target energy utilization system comprises a fan system, a water pump system and a motor system, energy efficiency analysis evaluation and energy-saving effect prediction are performed on the target energy utilization system, and the obtaining of the prediction simulation result comprises:
performing energy efficiency analysis and evaluation on the fan system, the water pump system and the motor system, and establishing an energy consumption analysis database model;
and predicting the energy-saving effect of the fan system, the water pump system and the motor system after the carbon-reduction energy-saving transformation and upgrading according to the energy consumption analysis database model to obtain a predicted simulation result.
7. The method of claim 6, wherein the energy-saving effect prediction of the upgraded fan system, the upgraded water pump system and the upgraded motor system is performed according to the energy consumption analysis database model, and the obtaining of the prediction simulation result comprises:
replacing with a high-efficiency motor, carrying out variable frequency speed regulation on a fan or a water pump, and transforming with a magnetic suspension fan or a water pump;
and performing predictive simulation on the energy-saving effect corresponding to the replaced motor, the frequency-variable speed-regulated fan or water pump and the transformed magnetic suspension fan or water pump according to the energy consumption analysis database model to obtain a predictive simulation result.
8. A management system of energy-carbon data is characterized by comprising an Internet of things management module, a carbon emission management module, an energy-saving diagnosis module, an intelligent management and control module and a display screen, wherein the display screen is connected with the Internet of things management module, the carbon emission management module, the energy-saving diagnosis module and the intelligent management and control module,
the internet of things management module is used for acquiring energy carbon data generated by an energy consumption system and other carbon emission sources;
the carbon emission management module is used for monitoring and managing carbon emission data in the energy carbon data to obtain a carbon emission monitoring result;
the energy-saving diagnosis module is used for performing energy-saving diagnosis on the energy consumption system to obtain an energy-saving diagnosis report, and performing energy efficiency analysis evaluation and energy-saving effect prediction on a target energy consumption system to obtain a prediction simulation result;
the intelligent management and control module is used for performing energy-saving optimization control on the energy utilization system based on the energy-saving diagnosis report;
the display screen is used for displaying the carbon emission monitoring result, the energy-saving diagnosis report and the prediction simulation result.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus; wherein:
a memory for storing a computer program;
a processor for performing the method steps of any one of claims 1-7 by executing a program stored on a memory.
10. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program is operative to perform the method steps of any of the preceding claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116757359A (en) * | 2023-06-12 | 2023-09-15 | 国网北京市电力公司 | Park carbon efficiency diagnosis method and system based on building carbon emission characteristic parameters |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020134083A1 (en) * | 2001-02-19 | 2002-09-26 | Staphanos Stephen T. | Generator monitoring, control and efficiency |
| CN106096840A (en) * | 2016-06-14 | 2016-11-09 | 中国电力科学研究院 | A kind of energy management system |
| CN109613908A (en) * | 2018-11-23 | 2019-04-12 | 浙江永发机电有限公司 | A kind of intelligent electric machine system with cloud big data platform |
| US20190181680A1 (en) * | 2016-08-09 | 2019-06-13 | Yanmar Co., Ltd. | Control device optimizing evaluation of energy management in in-plant energy network |
| CN110210689A (en) * | 2019-06-18 | 2019-09-06 | 冶金工业规划研究院 | A kind of carbon emission management data platform |
| CN114062759A (en) * | 2021-10-28 | 2022-02-18 | 阿凡提物联网科技(沈阳)有限公司 | A system and method for monitoring and checking carbon emissions |
-
2022
- 2022-08-05 CN CN202210940000.4A patent/CN114996979B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020134083A1 (en) * | 2001-02-19 | 2002-09-26 | Staphanos Stephen T. | Generator monitoring, control and efficiency |
| CN106096840A (en) * | 2016-06-14 | 2016-11-09 | 中国电力科学研究院 | A kind of energy management system |
| US20190181680A1 (en) * | 2016-08-09 | 2019-06-13 | Yanmar Co., Ltd. | Control device optimizing evaluation of energy management in in-plant energy network |
| CN109613908A (en) * | 2018-11-23 | 2019-04-12 | 浙江永发机电有限公司 | A kind of intelligent electric machine system with cloud big data platform |
| CN110210689A (en) * | 2019-06-18 | 2019-09-06 | 冶金工业规划研究院 | A kind of carbon emission management data platform |
| CN114062759A (en) * | 2021-10-28 | 2022-02-18 | 阿凡提物联网科技(沈阳)有限公司 | A system and method for monitoring and checking carbon emissions |
Non-Patent Citations (1)
| Title |
|---|
| 唐德超: "大型商业建筑的整体节能设计和运行", 《工程科技Ⅱ辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116757359A (en) * | 2023-06-12 | 2023-09-15 | 国网北京市电力公司 | Park carbon efficiency diagnosis method and system based on building carbon emission characteristic parameters |
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|---|---|
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