Energy-saving construction method for low-carbon environment-friendly constructional engineering

Abstract

The invention discloses an energy-saving construction method for low-carbon environment-friendly constructional engineering. The energy-saving construction method comprises the following steps that 1, related information of a construction site is collected; 2, energy use information of the construction site is collected, and the energy use information of the construction site and related information of the construction site are processed to obtain an energy optimization method; 3, in the construction process, environment information is collected and analyzed, and environment regulation and control information is generated; 4, collecting construction period information, and selecting a carbon reduction crop according to the construction period information to carry out carbon reduction operation; 5, collecting energy consumption information of equipment in the construction site, and performing equipment evaluation according to the energy consumption information; according to the invention, a green and efficient construction mode is comprehensively created from energy optimization, environment regulation and control, vegetation utilization to equipment management, so that coordinated development of low-carbon building construction and ecological environment protection is realized.

Description

Technical Field

[0001] The present invention relates to the field of construction methods, and particularly to an energy-saving construction method for low-carbon and environmentally friendly building projects. Background Art

[0002] With the increasingly severe environmental problems and the urgent need for sustainable development, the construction industry, as a major energy consumer, is facing huge pressure to reduce energy consumption and emissions. In the process of traditional building construction, energy is used extensively, overly relying on external power supply, and rarely considering the utilization of renewable energy around the construction site. This not only causes a large amount of energy waste but also exacerbates carbon emissions, bringing a heavy burden to the ecological environment.

[0003] At the same time, the construction site is often the source of pollution such as dust and noise, having a negative impact on the air quality of the surrounding environment and the lives of residents. Moreover, the construction process lacks dynamic monitoring and regulation of environmental factors. When dealing with adverse environmental conditions such as high temperature, dryness, and dustiness, the means are single and passive, and it is unable to effectively guarantee the construction quality and the health of personnel.

[0004] In addition, previous building construction paid little attention to the role of vegetation in carbon reduction, dust reduction, etc. Even if green plants were introduced, there was a lack of scientific planting planning and refined management, making it difficult for them to fully play their ecological benefits. In terms of equipment management, the operation status of equipment was judged solely based on experience, and abnormal energy consumption of equipment could not be detected and accurately located in a timely manner, resulting in frequent equipment aging and failures, further increasing energy consumption and maintenance costs.

[0005] In this context, in order to promote the transformation of building projects towards low-carbon and environmental protection, an energy-saving construction method for low-carbon and environmentally friendly building projects is proposed. Summary of the Invention

[0006] Aiming at the defects in the prior art, the present invention provides an energy-saving construction method for low-carbon and environmentally friendly building projects, including the following steps:

[0007] Step 1: Collect relevant information of the construction site;

[0008] Step 2: Then collect the energy usage information of the construction site, and process the energy usage information of the construction site and the relevant information of the construction site to obtain an energy optimization method;

[0009] Step 3: During the construction process, collect environmental information, analyze the environmental information, and generate environmental regulation information;

[0010] Step 4: Collect construction cycle information, and select carbon-reducing crops according to the construction cycle information to carry out carbon reduction operations;

[0011] Step 5: Collect the equipment energy consumption information within the construction site, and conduct equipment evaluation according to the energy consumption information.

[0012] Furthermore, the specific process of collecting construction-related information is as follows:

[0013] Perform sunshine monitoring. Select a sunshine radiation sensor. Set multiple monitoring points at different orientations and heights at the construction site to monitor sunshine data and obtain multiple sunshine durations.

[0014] At the same time, use satellite remote sensing images for auxiliary analysis. Combine with geographic information system technology to obtain the sunshine duration of the construction site.

[0015] Calculate the multiple sunshine durations collected by the sunshine radiation sensor and the sunshine duration obtained by using satellite remote sensing images for auxiliary analysis and combining with geographic information system technology to obtain the average sunshine duration.

[0016] Then conduct water source detection. Collect the distance of the flowing instrument water source at the construction site and deploy a water flow velocity meter to collect the water flow velocity and flow rate.

[0017] The average sunshine duration, water flow velocity, and flow rate constitute the construction site-related information.

[0018] Furthermore, the acquisition process of the energy optimization method is as follows:

[0019] Extract the energy usage information of the construction site. The energy usage information is the daily electricity consumption information of the construction site. Continuously collect the daily electricity consumption information for at least x days. After removing the maximum and minimum values from the x-day daily electricity consumption information, calculate the average value of the remaining x - 2 daily electricity consumption information to obtain the average electricity consumption information.

[0020] Then extract the construction site-related information and extract the average sunshine duration, water flow velocity, and flow rate from it.

[0021] When the average sunshine duration is greater than or equal to the preset value, collect the number of positions within the construction site where solar power generation can be installed, and at the same time extract the daily power generation of a single solar power generation device.

[0022] When the average sunshine duration is less than the preset value, solar power generation is not considered.

[0023] When the water flow velocity is within the preset range and the flow rate is greater than or equal to the preset value, collect the number of hydraulic power generation devices that can be installed at this position and extract the daily power generation of a single hydraulic power generation device.

[0024] When the flow rate is less than the preset value, hydraulic power generation is not considered.

[0025] Mark the number of solar power generation locations as Z1, mark the daily power generation of a single solar power generation device as Z2, and obtain the total solar power generation Zz through the formula Z1 * Z2 * α = Zz, where α is a correction value, 0.7 ≤ α ≤ 0.9, and α is directly proportional to Z1;

[0026] Mark the number of hydroelectric power generation devices as E1, mark the daily power generation of a single hydroelectric power generation device as E2, and obtain the total hydroelectric power generation Ee through the formula E1 * E2 * β = Ee, where β is a correction value, 0.6 ≤ β ≤ 0.8;

[0027] Mark the average power consumption information as D, calculate the ratio of Zz to D, and obtain the solar power generation ratio Zd;

[0028] Calculate the ratio of Ee to D, and obtain the hydroelectric power generation ratio Ed;

[0029] Select whether to perform energy optimization based on the solar power generation ratio Zd and the hydroelectric power generation ratio Ed, and generate corresponding energy optimization information.

[0030] Furthermore, when the solar power generation ratio Zd is greater than or equal to the preset value, energy optimization information is generated, and solar power generation is selected for energy optimization;

[0031] When Ed is greater than or equal to the preset value, energy optimization information is generated, and hydroelectric power generation is selected for energy optimization;

[0032] When both the solar power generation ratio Zd and the hydroelectric power generation ratio Ed are less than the preset value, calculate the sum Ze of the solar power generation ratio Zd and the hydroelectric power generation ratio Ed. When the sum Ze is greater than or equal to the preset value, energy optimization information is generated, and both solar power generation and hydroelectric power generation are selected for energy optimization.

[0033] Furthermore, the specific process of generating the environmental control information is as follows:

[0034] Extract environmental information, which includes environmental humidity information, environmental temperature information, and environmental dust concentration information;

[0035] When the environmental humidity is less than the preset value, the environmental temperature is greater than the preset value, and the environmental dust concentration is greater than the preset value, environmental control information is generated;

[0036] After the environmental control information is generated, collect the weather forecast information of the construction site, and through analyzing the weather forecast information, extract the expected precipitation time;

[0037] Collect the time point when the environmental control information is generated, mark it as T1, and mark the expected precipitation time as T2;

[0038] Calculate the difference between T2 and T1 to obtain the precipitation time difference Tt. When the precipitation time difference Tt is less than the preset value, the content of the environmental control information is to control the dust suppression equipment to perform a small amount of timed spraying for dust suppression;

[0039] When the precipitation time difference Tt is greater than or equal to the preset value, the content of the environmental control information is to control the dust suppression equipment to perform normal amount of spraying for dust suppression.

[0040] Furthermore, the specific process of collecting the construction cycle information and selecting carbon reduction crops for carbon reduction operations according to the construction cycle information is as follows:

[0041] Extract the construction cycle information and extract the construction duration from the construction cycle information;

[0042] When the construction duration is less than the preset value, that is, select to plant the carbon reduction crops separately in planting containers and set the carbon reduction crops within a preset distance from the construction site enclosure with spraying dust suppression equipment;

[0043] When the construction duration is greater than the preset value, that is, select to plant the carbon reduction crops as a whole and plant the carbon reduction crops within a preset distance from the construction site enclosure with spraying dust suppression equipment.

[0044] Furthermore, an image acquisition device is set to collect the image information of the carbon reduction crops in real time, and the image information of the carbon reduction crops is analyzed and processed to generate spraying dust suppression equipment control information.

[0045] Furthermore, the specific process of obtaining the image information of the carbon reduction crops is as follows: Use the image acquisition device to focus on the leaf part of the carbon reduction crops and take real-time photos from multiple directions at a preset acquisition frequency to obtain the image information of the carbon reduction crops;

[0046] The specific process of generating the spraying dust suppression equipment control information is as follows: First, perform color feature extraction. Transmit the collected image information of the carbon reduction crops to the processing center, and use image analysis software. First, locate and segment the leaf area to exclude the background and other interference factors. Then, extract the color feature parameters of the leaves, including the color value distribution of the three primary colors of red, green, and blue, as well as the hue, saturation, and lightness indicators, and construct the color feature vector of each leaf;

[0047] Then, perform color change monitoring and analysis. Based on the time series, import the change situation of the leaf color feature vector into the preset database for benchmark matching. The preset database stores the benchmarks for abnormal color changes. When the change situation of the leaf color feature vector matches the benchmarks in the preset database, the spraying dust suppression equipment control information is generated;

[0048] Furthermore, the specific process of equipment evaluation is as follows:

[0049] Extract the equipment energy consumption information within the construction site. The equipment energy consumption information within the construction site includes equipment type information and the energy consumption per unit time of the equipment;

[0050] Import the equipment type into the preset database, and retrieve the standard energy consumption per unit time of the corresponding equipment type from the preset database;

[0051] Then calculate the ratio between the energy consumption per unit time of the equipment and the standard energy consumption per unit time to obtain the consumption evaluation ratio;

[0052] After that, record the number of equipment with a consumption evaluation ratio greater than the preset value, and collect the total number of all equipment. Calculate the ratio of the number of equipment with a consumption evaluation ratio greater than the preset value to the total number of all equipment to obtain the proportion of equipment with abnormal consumption;

[0053] When the proportion of equipment with abnormal consumption is greater than the preset value a1, a first equipment evaluation is generated, indicating that the overall energy consumption of the equipment is abnormal and overall equipment maintenance or replacement is required;

[0054] When the proportion of equipment with abnormal consumption is between the preset values a1 and a2, a second equipment evaluation is generated, indicating that some equipment needs to be maintained or replaced;

[0055] When the proportion of equipment with abnormal consumption is less than the preset value a2, a third equipment evaluation is generated, indicating that there is a small amount of equipment with abnormal consumption and maintenance of the abnormal equipment is required.

[0056] The beneficial effects of the present invention are reflected in:

[0057] High-efficiency energy utilization. Through detailed monitoring and analysis of the sunlight and water flow conditions at the construction site, accurately judge the feasibility of solar and hydroelectric power generation. Combining multi-day electricity usage data, scientifically calculate the power generation ratio, reasonably select the energy optimization method, maximize the use of renewable energy, reduce the dependence on traditional electricity, and reduce carbon emissions during the construction process. For example, in areas with sufficient sunlight, give full play to the advantages of solar power generation to supply power for site lighting, small electric tools, etc.; where the water flow conditions are suitable, the hydroelectric power generation equipment can operate continuously to meet part of the electricity demand and achieve energy self-sufficiency.

[0058] Strong environmental adaptability. Real-time collect environmental information and generate dynamic environmental control information based on factors such as humidity, temperature, dust concentration, and weather forecasts. In dry, high-temperature, and dusty environments, accurately control the dust suppression equipment, which can not only effectively reduce dust and improve the air quality of the construction site, but also avoid water resource waste caused by excessive spraying. In case of an upcoming precipitation period, intelligently adjust the spraying strategy to reduce unnecessary operations and adapt to the changing natural environment.

[0059] Intelligent management of carbon-reducing crops, using image acquisition and analysis technology to monitor the color changes of the leaves of carbon-reducing crops and to grasp the growth status of the crops in real time. According to different situations such as water shortage and dust contamination, control information for the dust suppression spraying equipment is automatically generated to achieve synchronous dust suppression and irrigation. On the one hand, it helps to reduce carbon emissions, and on the other hand, it ensures the healthy growth of carbon-reducing crops and improves the ecological benefits of the construction site. For example, when the leaves change color due to water shortage, the spraying frequency and duration are increased in a timely manner to supplement water and suppress dust at the same time.

[0060] Refined equipment management: Conduct a comprehensive energy consumption assessment of the construction site equipment, compare with the standard energy consumption, and accurately locate the equipment with abnormal consumption. According to the proportion of abnormal equipment, a targeted equipment assessment report is generated to provide a scientific basis for equipment maintenance and replacement. It helps to promptly eliminate old and energy-consuming equipment, optimize equipment configuration, improve energy utilization efficiency, reduce equipment operation costs, and further promote energy conservation and emission reduction during the construction process.

[0061] Rational construction planning: Flexibly select the planting method of carbon-reducing crops according to the length of the construction period, fully considering the temporary and long-term needs during the construction process. For short-term construction, individual planting in planting containers is adopted, which is convenient for movement and management; for long-term construction, overall planting is carried out to form a stable ecological community and continuously play the role of carbon reduction. This local-condition-based planning ensures the close combination of carbon reduction measures and the construction progress, and improves the overall low-carbon environmental protection level of the construction;

[0062] From energy optimization, environmental regulation, vegetation utilization to equipment management, a green and efficient construction mode is comprehensively created to achieve the coordinated development of building construction and ecological environment protection. By finely detecting resources such as sunlight and water sources at the construction site, combining the electricity consumption data of the construction site, tapping the potential of renewable energy, collecting environmental information in real time and intelligently regulating it, good conditions are created for the construction. Scientifically plan carbon-reducing crops according to the construction period, finely manage with the help of imaging technology, introduce an equipment evaluation system, accurately control the energy consumption of equipment, and ensure energy conservation, emission reduction, green and sustainable throughout the construction process. Description of the Drawings

[0063] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the description of the specific embodiments or the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to actual scale.

[0064] Figure 1 It is a flowchart of the present invention. Detailed Embodiments

[0065] The embodiments of the technical solutions of the present invention will be described in detail below with reference to the accompanying drawings. The following embodiments are only used to illustrate the technical solutions of the present invention more clearly, so they are only examples and cannot be used to limit the protection scope of the present invention.

[0066] It should be noted that unless otherwise specified, the technical terms or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art to which the present invention belongs.

[0067] As Figure 1 shown, a low-carbon environmental protection building engineering energy-saving construction method includes the following steps:

[0068] Step 1: Collect relevant information of the construction site;

[0069] Step 2: Collect the energy usage information of the construction site, and process the energy usage information and the relevant information of the construction site to obtain an energy optimization method;

[0070] Step 3: During the construction process, collect environmental information, analyze the environmental information, and generate environmental control information;

[0071] Step 4: Collect the construction cycle information, and select carbon-reducing crops according to the construction cycle information to carry out carbon reduction operations;

[0072] Step 5: Collect the equipment energy consumption information in the construction site, and evaluate the equipment according to the energy consumption information.

[0073] The specific process of collecting construction-related information is as follows:

[0074] Carry out sunshine monitoring, select sunshine radiation sensors, such as set multiple monitoring points at different orientations and heights of the construction site to monitor sunshine data and obtain multiple sunshine durations;

[0075] At the same time, use satellite remote sensing images for auxiliary analysis, and combine with geographic information system (GIS) technology to obtain the sunshine duration of the construction site;

[0076] Calculate the multiple sunshine durations collected by the sunshine radiation sensors and the sunshine durations obtained by using satellite remote sensing images for auxiliary analysis and combining with geographic information system (GIS) technology to obtain the average sunshine duration;

[0077] Then carry out water source detection, collect the distance of the flowing instrument water source at the construction site, and deploy a water flow velocity meter to collect the water flow velocity and flow rate;

[0078] The average sunshine duration, water flow velocity and flow rate constitute the relevant information of the construction site;

[0079] Through the above process, accurately evaluate the solar energy potential:

[0080] By setting up multiple solar radiation sensors at different orientations and heights at the construction site, the solar radiation situation can be captured in all directions and in a three-dimensional manner. Its wide spectral response range ensures that whether it is strong sunlight on sunny days or weak light on cloudy days, early mornings or evenings, the solar radiation intensity can be accurately measured, and multiple sunshine durations can be obtained. Combining with satellite remote sensing images and geographic information system (GIS) technology for auxiliary analysis can break through the limitations of local monitoring, grasp the overall solar radiation distribution of the construction site from a macroscopic level, and finally calculate a very representative average sunshine duration, providing a solid data basis for accurately judging whether solar power generation can be widely applied at the construction site, and avoiding the situation of blindly investing in solar energy equipment but being unable to operate efficiently due to insufficient solar radiation.

[0081] Collecting the distance of the flowing surface water source at the construction site can quickly locate potential hydraulic utilization points, understand the relative relationship between the water source location and the construction site layout, and facilitate the subsequent reasonable planning of the layout of hydraulic power generation facilities. Deploying a water flow velocity meter to collect the water flow velocity and flow rate, these two key parameters directly determine the feasibility and power generation scale of hydraulic power generation. Accurately grasping the water flow information can not only judge whether there are conditions to introduce micro or even small-scale hydraulic power generation equipment at present, but also estimate the proportion of electricity that hydraulic power generation can provide for the construction process, maximize the utilization of water resources, reduce the dependence on external power grid power supply, and reduce carbon emissions.

[0082] Integrating the average sunshine duration, water flow velocity and flow rate related to the construction site provides the core basis for generating subsequent energy optimization methods. These detailed data enable the construction team to clearly understand the surrounding area of the construction site, and then accurately select an optimized plan of solar energy, hydraulic power generation or a combination of both according to the actual energy conditions, starting a low-carbon and environmental protection journey from the early stage of construction, and ensuring the green and sustainable energy supply throughout the construction process.

[0083] The process of obtaining the above-mentioned energy optimization method is as follows:

[0084] Extract the energy usage information obtained at the construction site. The energy usage information is the single-day electricity consumption information of the construction site. Continuously collect the single-day electricity consumption information for at least x days. After removing the maximum and minimum values in the single-day electricity consumption information for x days, calculate the average value of the remaining x - 2 single-day electricity consumption information to obtain the average electricity consumption information, where x is at least 30;

[0085] After that, extract the relevant information of the construction site, and extract the average sunshine duration, water flow velocity and flow rate from it;

[0086] When the average sunshine duration is greater than or equal to the preset value, then collect the number of positions in the construction site where solar power generation can be installed, and at the same time extract the single-day power generation of a single solar power generation device;

[0087] When the average sunshine duration is less than the preset value, solar power generation is not considered;

[0088] When the water flow velocity is within the preset range and the flow rate is greater than or equal to the preset value, collect the number of hydroelectric power generation devices that can be installed at this location, and extract the daily power generation of a single hydroelectric power generation device;

[0089] When the flow rate is less than the preset value, hydroelectric power generation is not considered;

[0090] Mark the number of solar power generation locations as Z1, mark the daily power generation of a single solar power generation device as Z2, and obtain the total solar power generation Zz through the formula Z1 * Z2 * α = Zz, where α is a correction value, 0.7 ≤ α ≤ 0.9, and α is proportional to Z1;

[0091] Mark the number of hydroelectric power generation devices as E1, mark the daily power generation of a single hydroelectric power generation device as E2, and obtain the total hydroelectric power generation Ee through the formula E1 * E2 * β = Ee, where β is a correction value, 0.6 ≤ β ≤ 0.8;

[0092] Mark the average power consumption information as D, calculate the ratio of Zz to D, and obtain the solar power generation proportion Zd;

[0093] Calculate the ratio of Ee to D, and obtain the hydroelectric power generation proportion Ed;

[0094] Select whether to perform energy optimization based on the solar power generation proportion Zd and the hydroelectric power generation proportion Ed, and generate corresponding energy optimization information.

[0095] When the solar power generation proportion Zd is greater than or equal to the preset value, generate energy optimization information and select solar power generation for energy optimization;

[0096] When Ed is greater than or equal to the preset value, generate energy optimization information and select hydroelectric power generation for energy optimization;

[0097] When both the solar power generation proportion Zd and the hydroelectric power generation proportion Ed are less than the preset value, calculate the sum Ze of the solar power generation proportion Zd and the hydroelectric power generation proportion Ed. When the sum Ze is greater than or equal to the preset value, generate energy optimization information and select both solar power generation and hydroelectric power generation for energy optimization;

[0098] Based on data-precise decision-making, build a solid foundation for energy planning:

[0099] The construction process has significant stage characteristics, and the power demand in each stage varies significantly. In the foundation construction stage, heavy machinery and equipment such as pile drivers and cranes are frequently operated, and the power consumption is high-intensity and highly volatile; after entering the decoration stage, it mainly relies on small electric tools, and the power demand tends to be stable and relatively low. Long-term series data collection can comprehensively and systematically cover the changes in power consumption throughout the construction process. By removing the maximum and minimum values ​​and calculating the mean, it can effectively eliminate the extreme value interference caused by abnormal events such as emergency repairs of sudden failures of large equipment and temporary interruptions of construction due to extreme weather, ensuring that the average power consumption information obtained can accurately reflect the actual level of daily power consumption in construction, providing a data basis for subsequent energy planning. For example, a large-scale comprehensive construction project carried out a 40-day power consumption monitoring. On the 5th day, due to a sudden serious failure of the pile driver, high-intensity repair work was carried out all day, and the power consumption rose sharply; on the 28th day, due to heavy rain and extreme weather, the construction site was completely shut down and the power consumption dropped sharply. The average value calculated after excluding the abnormal data of these two days accurately locates the daily stable electricity consumption benchmark of the project, providing a highly authoritative reference basis for subsequent energy planning.

[0100] Taking the average sunshine duration as the key evaluation indicator, scientifically evaluating the feasibility of solar power generation is a wise move to fully follow the laws of nature and achieve reasonable resource allocation. Rashly promoting large-scale solar power generation projects in areas with scarce sunshine resources will inevitably lead to low utilization of photovoltaic power generation equipment, a large amount of funds deposited in invalid assets, and huge risks in investment recovery. Similarly, rigorous and accurate judgment of hydropower generation potential based on the two core indicators of water flow velocity and flow can effectively avoid resource mismatch problems caused by misjudgment of water resource conditions. For example, at a construction site located in a deep mountain canyon area, the surrounding mountain streams are rich in water resources, and the water flow rate is stable and suitable. After a detailed assessment by a professional survey team using advanced technical means, small-scale hydroelectric power generation equipment was rationally planned and laid out, realizing efficient use of water resources. At the same time, at a construction site located in a densely populated area of ​​high-rise buildings in the city center, the average sunshine duration was far below the available standard due to severe obstruction from surrounding buildings. The project decision-making team could decisively abandon the large-scale solar power generation layout plan to ensure that the energy utilization plan was highly compatible with the local natural environment conditions, achieving a win-win situation for economic and environmental benefits.

[0101] The introduction of the total power generation calculation formula with correction values ​​adds a practical consideration dimension to the accurate estimation of power generation efficiency. Among them, the correction value α (the value range is limited to between 0.7 and 0.9, and is positively correlated with the number of solar power generation locations Z1) and β (the value range is 0.6 to 0.8) comprehensively and meticulously cover a series of realistic constraints such as the aging and wear of power generation equipment during long-term operation, the light and shadow obstruction caused by the surrounding environment or temporary facilities at the construction site, and the seasonal fluctuations of water flow due to seasonal changes. The total solar power generation Zz and the total hydropower generation Ee accurately calculated by the formula can highly accurately outline the boundary range of the actual power generation potential. The solar power generation proportion Zd and the hydropower generation proportion Ed obtained by comparing them with the average electricity consumption information D provide clear and definite direction guidance for energy optimization decisions. Taking a large infrastructure construction site in a coastal area as an example, the site is open and has 70 ideal locations suitable for installing solar power generation equipment (i.e., Z1=70) according to professional evaluation. The daily power generation of a single solar power generation equipment can reach 30 kWh (i.e., Z2=30). Based on the actual situation, α=0.8 is taken, and the formula Zz=70×30×0.8=1680 kWh can be calculated. If the average electricity consumption information D of the site is 2000 kWh, then Zd=1680÷2000=0.84, which fully demonstrates the significant advantages of solar power generation at the site, and solar power generation should be taken as a priority optimization direction.

[0102] When the single indicator of Zd or Ed reaches the preset standard, we will focus on a single energy field for in-depth development and optimization to fully tap its maximum potential;

[0103] When both Zd and Ed indicators fail to reach the preset values, but Ze (the sum of the two) meets the qualification requirements, a coordinated development strategy is decisively adopted to organically integrate the advantages of two clean energy sources, solar energy and hydropower, and carefully build a stable and efficient low-carbon energy supply system for the entire construction process, so as to achieve a substantial reduction in carbon emissions from the energy source, inject strong impetus into the promotion of green construction, and give the project excellent ecological and environmental benefits. For example, in the initial stage of a comprehensive municipal engineering project, it was calculated that Zd and Ed did not meet the preset indicator requirements. However, through in-depth and detailed further calculations, it was found that Ze met the standards. The project team then made a decisive decision to coordinate the layout of solar panels and small hydroelectric generating units. Through scientific and meticulous operation and maintenance management, the energy self-sufficiency rate of the project during the entire construction process exceeded 70%, the carbon emission indicators were significantly reduced, and the ecological and environmental benefits were outstanding.

[0104] The specific process of generating environmental control information is as follows:

[0105] Extract environmental information, including environmental humidity information, environmental temperature information and environmental dust concentration information;

[0106] When the environmental humidity is less than the preset value, the environmental temperature is greater than the preset value, and the environmental dust concentration is greater than the preset value, environmental regulation information is generated.

[0107] After the environmental regulation information is generated, the meteorological forecast information of the construction site is collected, and by analyzing the meteorological forecast information, the expected precipitation time is extracted.

[0108] Then collect the time point when the environmental regulation information is generated, mark it as T1, and mark the expected precipitation time as T2.

[0109] Calculate the difference between T2 and T1 to obtain the precipitation time difference Tt. When the precipitation time difference Tt is less than the preset value, the content of the environmental regulation information is to control the dust suppression equipment to spray for a small amount at regular intervals for dust suppression.

[0110] When the precipitation time difference Tt is greater than or equal to the preset value, the content of the environmental regulation information is to control the dust suppression equipment to spray for a normal amount for dust suppression.

[0111] By comprehensively extracting environmental humidity, temperature, and dust concentration information, real-time analysis parameters of the construction site environment are constructed. During the construction process, different construction links have different sensitivities to environmental conditions. For example, in concrete pouring operations, a high-temperature and dry environment can easily cause the concrete to lose water too quickly, affecting the pouring quality; during earth excavation, too high a dust concentration not only endangers the health of workers but also may interfere with the lives of surrounding residents. When the environmental humidity is below the preset value to ensure construction quality and personnel comfort, the temperature rises beyond the appropriate range, and the dust rages, the environmental regulation information generation mechanism is accurately triggered, sounding an alarm for timely intervention in environmental problems and ensuring that construction activities proceed in a relatively good microenvironment.

[0112] After the environmental regulation information is generated, quickly access the meteorological forecast data and deeply mine the expected precipitation time to achieve forward-looking decision-making thinking. Take a viaduct construction project in a certain city as an example. The construction site is open and the dust control is difficult. When it is monitored that the environment urgently needs to be regulated, if rainfall will occur within the next few hours and the calculated precipitation time difference Tt is less than the preset value, control the dust suppression equipment to spray a small amount at regular intervals. This can not only relieve the current dust pollution in advance, avoid secondary problems such as waterlogging caused by excessive spraying, but also cooperate with the upcoming precipitation to purify the air; on the contrary, if Tt is greater than or equal to the preset value, it means that there is no "natural dust suppression assistance" in the short term, so spray for dust suppression at a normal amount continuously, maintain a good construction environment, effectively reduce water resource waste, and also achieve low-carbon construction.

[0113] Collect the construction cycle information, and the specific process of selecting carbon-reducing crops for carbon reduction operations according to the construction cycle information is as follows:

[0114] Extract the construction period information, and extract the construction duration from the construction period information;

[0115] When the construction duration is less than the preset value, the carbon-reducing crops are selected to be planted separately in the planting container, and the carbon-reducing crops are placed within the preset distance of the construction site enclosure with spraying dust reduction equipment;

[0116] When the construction duration is longer than the preset value, the carbon-reducing crops are selected to be planted as a whole, and the carbon-reducing crops are planted within the preset distance of the construction site enclosure with spraying dust reduction equipment;

[0117] Accurately extracting the construction time provides guidance for the planting plan of carbon-reducing crops. The construction project duration varies, ranging from a few months to several years. For short-term construction, such as small municipal maintenance projects, the construction period is tight. Planting carbon-reducing crops separately in containers can be conveniently moved and deployed at any time. It will not affect the operation of personnel and machinery in the construction process, and can quickly build a green carbon-reducing belt around the enclosure to quickly play a role in dust reduction and carbon fixation.

[0118] For long-term construction projects, such as the construction of large commercial complexes, which have long construction periods, carbon-reducing crops can be planted as a whole. As the project progresses, they can gradually grow into stable ecological communities, continuously and uninterruptedly absorbing carbon dioxide and purifying the air, ensuring that carbon emission reduction work is carried out throughout the construction process in a coherent and orderly manner.

[0119] Regardless of whether you choose to plant in individual planting containers or as a whole, the carbon-reducing crops will be placed within the preset distance of the enclosure with spray dust reduction equipment. On the one hand, the area around the enclosure is the front line for construction dust to overflow and noise to spread. Carbon-reducing crops take root here and are irrigated with the residual water from the spray dust reduction equipment, which not only saves water resources, but also effectively intercepts dust and blocks noise;

[0120] On the other hand, the location of crops should be planned reasonably to avoid them occupying valuable space in the core construction area, to ensure the site requirements for material stacking, machinery parking, etc., to maximize the use of construction site space, and to achieve both environmental benefits and construction convenience.

[0121] The planting method is customized according to the construction duration, which greatly enhances the pertinence of carbon reduction operations. Planting containers are used for short-term projects, which do not require complicated land preparation and long-term maintenance. They can be easily removed after the project is completed, reducing the subsequent maintenance manpower and material investment;

[0122] Long-term construction adopts overall planting, with one-time planning and layout in place in the early stage, and subsequent operations are carried out according to the conventional green plant maintenance process to avoid additional costs caused by frequent adjustments due to improper planting methods. Precise strategies are used to reduce the operation and maintenance costs of carbon-reducing crops throughout their life cycle, thereby improving the cost-effectiveness of low-carbon construction.

[0123] An image acquisition device is set to collect the image information of carbon-reducing crops in real time, analyze and process the image information of carbon-reducing crops, and generate control information for the dust spraying device.

[0124] The specific process of obtaining the image information of carbon-reducing crops is as follows: Using an image acquisition device with high resolution and the ability to accurately restore colors, focus on the leaf parts of carbon-reducing crops, and take real-time photos from multiple directions according to the preset acquisition frequency to obtain the image information of carbon-reducing crops;

[0125] Ensure that the subtle color changes of each leaf can be clearly captured. The acquisition frequency is set according to the growth characteristics of the crops and the speed of environmental changes. For example, during the vigorous growth period of the crops and when the weather is changeable, it is collected once every 5 minutes; during the relatively stable stage, it is collected once every 15 minutes.

[0126] The specific process of generating the control information for the dust spraying device is as follows: First, extract color features. Transmit the collected image information of carbon-reducing crops to the processing center, and use image analysis software. First, locate and segment the leaf area, exclude the background and other interference factors, and then extract the color feature parameters of the leaves, including the color value distribution of the three primary colors of red, green, and blue, as well as the hue, saturation, and lightness indicators, to construct the color feature vector of each leaf;

[0127] Then, monitor and analyze the color changes. Based on the time series, import the change situation of the leaf color feature vector into the preset database for benchmark matching. The preset database stores the benchmarks for abnormal color changes. When the change situation of the leaf color feature vector matches the benchmarks in the preset database, the control information for the dust spraying device is generated;

[0128] Generate accurate control information for the dust spraying device based on the analysis of leaf color changes. If it is judged that the leaves change significantly in color due to water shortage, generate an instruction to increase the spraying frequency, adjust it from once every 2 hours regularly to once every hour, and appropriately extend the spraying duration to ensure the improvement of soil moisture content while meeting the dust reduction requirements; If the weather conditions are poor, such as strong winds blowing a large amount of dust onto the leaves, resulting in the leaves becoming dirty in color, start a short-term high-intensity spraying in a timely manner to quickly clean the leaves and reduce dust, and then resume the normal mode. The control information is transmitted to the intelligent controller of the dust spraying device in the form of a wireless signal in real time to drive the device to operate as required, achieving the coordinated achievement of multiple goals of dust reduction, irrigation, and dust removal;

[0129] Through image acquisition and analysis technology, focus on the subtle but crucial part of the carbon-reducing crop leaves. Use image analysis software to accurately locate and segment the leaf area, extract multi-dimensional color feature parameters such as the color value distribution of the three primary colors of red, green, and blue, and hue, saturation, and lightness, and construct an accurate color feature vector, as if assigning a unique code to each leaf. Continuously monitor its changes based on time series, and can capture the slightest fluctuations in the growth state of the crop in real time. For example, when the color of the leaf gradually changes due to water shortage, the system quickly detects it and generates instructions in a timely manner to adjust the spraying frequency, increasing it from once every 2 hours regularly to once every hour and extending the spraying duration, ensuring that the soil humidity is appropriate, accurately meeting the urgent water demand of the crop, and efficiently reducing dust at the same time.

[0130] Import the changes in the leaf color feature vector into a preset database for benchmark matching, which gives full play to the advantages of big data. The database stores a large number of abnormal color change benchmarks, covering various scenarios such as water shortage and dust contamination, providing a solid basis for the system to make judgments. When the leaf color feature matches a certain abnormal benchmark, such as when the leaf color becomes dirty due to dust invasion during strong wind weather, the system immediately generates targeted control information, starts a short-term high-intensity spraying, quickly cleans the leaf and disperses the dust, and then returns to normal operation. This intelligent decision-making based on big data avoids the subjectivity and lag of manual judgment, making the spraying and dust reduction control always scientific and accurate.

[0131] The entire process of generating control information is oriented towards realizing the coordinated multi-objectives of dust reduction, irrigation, and dust removal. On the one hand, adjust the spraying according to the real-time state of the carbon-reducing crop to ensure the healthy growth of the crop and continuously exert the carbon-reducing effect; on the other hand, accurately match the environmental changes and the crop's needs, optimize the spraying strategy, avoid problems such as water resource waste and over-spraying, reduce the equipment energy consumption and operation and maintenance costs while effectively reducing dust, and improve the environmental quality and resource utilization efficiency of the construction site, achieving the maximization of comprehensive ecological and economic benefits.

[0132] By monitoring the carbon-reducing crops, the abnormalities of the carbon-reducing crops can be detected in a timely manner, thereby reducing the economic losses caused by the withering of the carbon-reducing crops due to various abnormalities and the need for replanting.

[0133] The specific process of equipment evaluation is as follows:

[0134] Extract the equipment energy consumption information in the construction site, and the equipment energy consumption information in the construction site includes equipment type information and the energy consumption per unit time of the equipment;

[0135] Import the equipment type into the preset database, and retrieve the standard energy consumption per unit time of the corresponding equipment type from the preset database;

[0136] Then calculate the ratio between the energy consumption per unit time of the equipment and the standard energy consumption per unit time to obtain the consumption evaluation ratio;

[0137] After that, record the number of devices with a consumption evaluation ratio greater than the preset value, collect the total number of all devices, calculate the ratio of the number of devices with a consumption evaluation ratio greater than the preset value to the total number of all devices, and obtain the proportion of devices with abnormal consumption;

[0138] When the proportion of devices with abnormal consumption is greater than the preset value a1, a first device evaluation is generated, indicating that the overall energy consumption of the devices is abnormal and a comprehensive device overhaul or replacement is required;

[0139] When the proportion of devices with abnormal consumption is between the preset values a1 and a2, a second device evaluation is generated, indicating that some devices need to be overhauled or replaced;

[0140] When the proportion of devices with abnormal consumption is less than the preset value a2, a third device evaluation is generated, indicating that there are a small number of devices with abnormal consumption and maintenance of the abnormal devices is required;

[0141] a2 < a1;

[0142] Different devices undertake different tasks in the construction process. For example, cranes are used for lifting heavy objects, and welding machines are dedicated to metal connection, and their energy consumption characteristics are very different. Importing the device type into the preset database to retrieve the standard energy consumption and then calculating the consumption evaluation ratio can better measure the energy efficiency performance of each device. For example, on a large construction site, multiple concrete mixers are operating simultaneously. By comparing with the standard energy consumption, it is possible to quickly identify the devices with excessive energy consumption due to mechanical aging, improper operation, etc., accurately locate the energy efficiency short board, and provide a clear target for subsequent improvement.

[0143] Further calculate the proportion of devices with abnormal consumption, which jumps from the micro single-device evaluation to the macro device group insight. When the proportion of devices with abnormal consumption is greater than the preset value a1, it means that there are systematic problems in the energy utilization of the entire device system, and a comprehensive overhaul or replacement is required;

[0144] If the proportion is between a1 and a2, it indicates that some devices are abnormal and targeted overhaul and replacement are required to ensure the efficient coordination of the device cluster;

[0145] When the proportion is less than the preset value a2, it indicates that the overall device consumption is abnormal. Even if it has not reached the severity of a1, timely maintenance is required to prevent the risk of energy consumption deterioration in advance and ensure the stable operation of the devices and controllable energy consumption throughout the construction process.

[0146] Based on the device management strategy with accurate evaluation, it can effectively optimize the resource allocation. On the one hand, it avoids over-maintenance of devices with normal energy consumption, saving labor, material and time costs; on the other hand, it timely rectifies the high-energy-consuming problem devices, reduces the overall energy consumption expenditure, improves the energy utilization efficiency, and realizes energy conservation and low carbon.

[0147] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and the specification of the present invention.

Claims

1. A low-carbon, environmentally friendly building engineering energy-saving construction method, characterized in that: The following steps are involved: Step 1: Collect relevant information about the construction site; Step 2: Collect the energy usage information of the construction site, process the energy usage information and related information of the construction site to obtain the energy optimization method; Step 3: During the construction process, collect environmental information, analyze the environmental information, and generate environmental control information; Step 4: Collect construction cycle information, and select carbon-reducing crops to carry out carbon-reducing operations based on the construction cycle information; Step 5: Collect energy consumption information of equipment on the construction site and conduct equipment evaluation based on the energy consumption information.

2. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 1, characterized in that: The specific process of collecting construction related information is as follows: Conduct sunshine monitoring, use sunshine radiation sensors to monitor sunshine data, and obtain multiple sunshine durations; At the same time, satellite remote sensing images are used for auxiliary analysis, combined with geographic information system technology to obtain the sunshine duration of the construction site; The multiple sunshine durations collected by the sunshine radiation sensor are analyzed with satellite remote sensing images, and the sunshine duration obtained by combining with geographic information system technology is calculated to obtain the average sunshine duration; Then conduct water source detection, collect the distance of the instrument water source flowing in the construction site, and deploy water flow velocity meters to collect water flow velocity and flow; The average sunshine duration, water velocity and flow rate constitute the relevant information of the construction site.

3. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 2, characterized in that: The acquisition process of the energy optimization method is as follows: Extract the energy usage information of the construction site, which is the daily energy usage information of the construction site. Collect the daily energy usage information of at least x days continuously, remove the maximum and minimum values ​​of the daily energy usage information of x days, calculate the average of the remaining x-2 daily energy usage information, and obtain the average electricity usage information; Then, the relevant information of the construction site is extracted, from which the average sunshine duration, water flow speed and flow rate are proposed; When the average sunshine duration is greater than or equal to the preset value, the number of locations where solar power generation can be installed in the construction site is collected, and the daily power generation of a single solar power generation device is extracted; When the average sunshine duration is less than the preset value, solar power generation is not considered; When the water flow velocity is within the preset range and the flow rate is greater than or equal to the preset value, the number of hydroelectric power generation equipment that can be installed at the location is collected, and the daily output of a single hydroelectric power generation equipment is extracted; When the flow rate is less than the preset value, hydropower generation is not considered; The number of solar power generation locations is marked as Z1, and the daily power generation of a single solar power generation device is marked as Z2. The total solar power generation Zz is obtained by the formula Z1*Z2*α=Zz, where α is a correction value, 0.7≤α≤0.9, and α is proportional to Z1; The number of hydroelectric generating equipment is marked as E1, and the daily output of a single hydroelectric generating equipment is marked as E2. The total hydroelectric power generation Ee is obtained by the formula E1*E2*β=Ee, where β is a correction value, 0.6≤β≤0.8; Mark the average electricity consumption information as D, calculate the ratio of Zz to D, and obtain the solar power generation proportion Zd; Calculate the ratio of Ee to D and obtain the proportion of hydropower generation Ed; Whether to perform energy optimization is determined based on the solar power generation ratio Zd and the hydropower generation ratio Ed, and corresponding energy optimization information is generated.

4. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 3, characterized in that: When the solar power generation proportion Zd is greater than or equal to the preset value, energy optimization information is generated and solar power generation is selected for energy optimization; When Ed is greater than or equal to the preset value, energy optimization information is generated and hydropower generation is selected for energy optimization; When the solar power generation proportion Zd and the hydropower generation proportion Ed are both less than the preset values, the sum Ze of the solar power generation proportion Zd and the hydropower generation proportion Ed is calculated. When the sum Ze is greater than or equal to the preset value, energy optimization information is generated, and solar power generation and hydropower generation are selected for energy optimization.

5. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 1, characterized in that: The specific process of generating environmental control information is as follows: Extract environmental information, including environmental humidity information, environmental temperature information and environmental dust concentration information; When the ambient humidity is lower than the preset value, the ambient temperature is higher than the preset value, and the ambient dust concentration is higher than the preset value, the environmental control information is generated; After the environmental control information is generated, the weather forecast information of the construction site is collected and analyzed to extract the expected precipitation time; Then collect the time point when the environmental control information is generated, mark it as T1, and mark the expected precipitation time as T2; The difference between T2 and T1 is calculated to obtain the precipitation time difference Tt. When the precipitation time difference Tt is less than the preset value, the content of the environmental control information is to control the dust reduction equipment to perform a small amount of timed spraying to reduce dust; When the precipitation time difference Tt is greater than or equal to the preset value, the content of the environmental control information is to control the dust reduction equipment to spray dust reduction in a normal amount.

6. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 1, characterized in that: The specific process of collecting construction cycle information and selecting carbon-reducing crops to carry out carbon-reducing operations based on the construction cycle information is as follows: Extract the construction period information, and extract the construction duration from the construction period information; When the construction duration is less than the preset value, the carbon-reducing crops are selected to be planted separately in the planting container, and the carbon-reducing crops are placed within the preset distance of the construction site enclosure with spraying dust reduction equipment; When the construction duration is longer than the preset value, it is selected to plant carbon-reducing crops as a whole, and the carbon-reducing crops are planted within a preset distance of the construction site enclosure with spraying dust reduction equipment.

7. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 6, characterized in that: Image acquisition equipment is set up to collect image information of carbon-reducing crops in real time, analyze and process the image information of carbon-reducing crops, and generate control information for spraying and dust reduction equipment.

8. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 7, characterized in that: The specific process of obtaining the image information of carbon-reducing crops is as follows: using image acquisition equipment, focusing on the leaf part of the carbon-reducing crops, taking real-time photos from multiple directions according to a preset acquisition frequency, and obtaining the image information of the carbon-reducing crops; The specific generation process of the control information of the spraying dust reduction equipment is as follows: first, color feature extraction is performed, and the collected image information of carbon reduction crops is transmitted to the processing center. Using image analysis software, the leaf area is first located and segmented to exclude background and other interference factors. Then, the color feature parameters of the leaves are extracted, including the color value distribution of the three primary colors of red, green, and blue, as well as the hue, saturation, and brightness indicators, to construct the color feature vector of each leaf; Then, color change monitoring and analysis are carried out. Based on the time series, the changes in the blade color feature vector are imported into the preset database for benchmark matching. The preset database stores the benchmarks for abnormal color changes. When the changes in the blade color feature vector match the benchmarks in the preset database, the spraying and dust reduction equipment control information is generated.

9. A low-carbon, environmentally friendly building engineering energy-saving construction method according to claim 1, characterized in that: The specific process of conducting equipment evaluation is as follows: Extracting the energy consumption information of the equipment in the construction site, which includes the equipment type information and the energy consumption per unit time of the equipment; Importing the equipment type into a preset database, and retrieving the standard unit time energy consumption of the corresponding equipment type from the preset database; Then calculate the ratio between the energy consumption per unit time of the equipment and the energy consumption per unit time of the standard to obtain the consumption assessment ratio; Then, the number of devices whose consumption evaluation ratio is greater than the preset value is recorded, and the number of all devices is collected. The ratio of the number of devices whose consumption evaluation ratio is greater than the preset value to the number of all devices is calculated to obtain the proportion of the number of abnormal consumption devices. When the proportion of abnormal consumption equipment is greater than the preset value a1, the first equipment evaluation is generated, which means that the overall energy consumption of the equipment is abnormal and the overall equipment needs to be repaired or replaced; When the proportion of abnormal consumption equipment is between the preset values ​​a1 and a2, the second equipment evaluation is generated, which means that some equipment needs to be repaired or replaced; When the proportion of abnormal consumption equipment is less than the preset value a2, the third equipment evaluation is generated, which means that there is a small amount of abnormal consumption of equipment and the abnormal equipment needs to be repaired and maintained.

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