Green energy-saving construction system

Abstract

The invention relates to the technical field of energy-saving construction, and discloses a green energy-saving construction system which comprises a tower crane information collecting unit, an environment collecting unit, a personnel monitoring unit and an equipment cooperative control unit. According to the energy-saving control of the variable-frequency tower crane, the motor always works in the optimal efficiency interval through load-speed matching optimization, so that the energy consumption is reduced; the intelligent illumination system adopts a dual control strategy of environment illumination monitoring and personnel activity detection, realizes on-demand illumination, and reduces illumination energy consumption; through the multi-sensor data fusion and partition control technology, refined energy management of construction equipment is realized, and the overall energy consumption is reduced; the modular design enables the system to have good expansibility, and the hybrid energy storage configuration ensures the reliability of power supply; the construction and operation cost is greatly reduced, carbon dioxide emission is reduced, an intelligent solution is provided for green building construction, and remarkable economic benefits and environmental protection values are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy-saving construction, and particularly relates to a green energy-saving construction system. Background Art

[0002] In the current field of building construction, with the increasing attention to environmental protection and energy conservation, green energy-saving construction has become an important development direction in the industry. However, there are many deficiencies in the current construction system in terms of energy utilization and equipment application:

[0003] Defects in the utilization of renewable energy: Renewable energy such as solar energy and wind energy has the advantages of cleanness and sustainability, and is an important energy source for realizing green energy-saving construction. However, in the existing construction system, these renewable energies are not effectively combined with the electricity demand of construction. On the one hand, the layout of solar panels and wind turbines lacks scientific planning, and factors such as the geographical environment of the construction site, the solar altitude angle, and the distribution of wind resources are not fully considered, resulting in low power generation efficiency; on the other hand, there is no reasonable energy storage and distribution mechanism, and it is difficult to meet the stable electricity demand of the construction system when the renewable energy power generation is excessive or insufficient.

[0004] Insufficient application of energy-saving equipment: Energy-saving equipment such as variable-frequency tower cranes and LED lighting has been applied in construction, but has not yet formed a system. Although the variable-frequency tower crane has energy-saving potential, it lacks precise control of load adaptability and effective utilization of energy feedback; the layout and control of LED lighting fixtures lack intelligence and cannot be flexibly adjusted according to the actual lighting demand and the activities of personnel and equipment; other energy-saving equipment such as concrete mixing equipment and electric construction vehicles have not been effectively coordinated with the entire construction system, and cannot give full play to the comprehensive energy-saving benefits of energy-saving equipment.

[0005] In summary, the existing construction system has obvious defects in energy utilization and the application of energy-saving equipment, and there is an urgent need for a green energy-saving construction system to improve energy utilization efficiency and achieve the goal of green energy-saving in the construction process. Summary of the Invention

[0006] The purpose of the present invention is to provide a green energy-saving construction system to solve the technical problems raised in the background art.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A green energy-saving construction system includes:

[0009] Renewable energy power generation module: Composed of solar photovoltaic panels and wind turbines, used for collecting solar energy and wind energy and converting them into electric energy;

[0010] Energy storage module: Composed of a lithium battery pack and a super capacitor, used to store the electric energy generated by the renewable energy power generation module;

[0011] Power consumption equipment module: Covers the construction power consumption equipment corresponding to the variable frequency tower crane and LED lighting equipment;

[0012] Intelligent control module: Used to dynamically adjust the operating parameters of the power consumption equipment module.

[0013] As a further solution of the present invention: The intelligent control module includes:

[0014] Tower crane information collection unit, used to collect the load weight M of the variable frequency tower crane in real time d and the lifting speed V d ;

[0015] Environment collection unit, used to obtain the environmental light intensity G of the construction area in real time h ;

[0016] Personnel monitoring unit, used to monitor the detected human body thermal radiation signal in the construction area in real time within the specified observation period;

[0017] Equipment collaborative control unit, used to perform collaborative control on the variable frequency tower crane and LED lighting equipment, and the collaborative control method includes the energy-saving control of the variable frequency tower crane and the energy-saving control of the LED lighting equipment.

[0018] As a further solution of the present invention: The energy-saving control method of the variable frequency tower crane is as follows:

[0019] Step H1, set multiple load intervals and lifting speed intervals, use the intermediate value of the load interval as the load weight, and use the intermediate value in different lifting speed intervals as the lifting speed for experiments to determine the load-speed pairs composed of the load interval and the lifting speed interval;

[0020] Step H2, extract the current load weight M of the variable frequency tower crane d and the lifting speed V d , and then compare them with the corresponding load intervals and lifting speed intervals in multiple load-speed pairs:

[0021] If the current load weight M d and the lifting speed V d are respectively in the load interval and the lifting speed interval of the same load-speed pair, it means that the current motor power of the variable frequency tower crane is in a reasonable state and does not need to be adjusted; otherwise, it means that the current motor power of the variable frequency tower crane can be optimized.

[0022] As a further solution of the present invention: The determination method of the load-speed pair is:

[0023] For the load weight in a load range, at the lifting speeds in different lifting speed ranges, calculate the corresponding motor powers of the variable-frequency tower crane. Then, from the obtained motor powers, obtain the lifting speed corresponding to the minimum motor power value. Next, take this load range and lifting speed range as a load-speed pair.

[0024] As a further solution of the present invention: The motor power P of the variable-frequency tower crane d , is obtained from the load weight M d and the lifting speed V d of the variable-frequency tower crane, and its formula is: In the formula, g is the acceleration due to gravity, and X d is the effective utilization rate of the motor to convert the input electrical energy into mechanical energy, and X d = (output mechanical power / input electrical power) × 100%; the input electrical power refers to the electrical energy consumed by the motor from the power grid or power supply, and the output mechanical power refers to the power of the motor to actually drive the load to do work;

[0025] By analogy, determine the lifting speed ranges in the load-speed pairs corresponding to each load range.

[0026] As a further solution of the present invention: The optimization processing method of the motor power is as follows:

[0027] According to the current load weight M d , obtain the load-speed pair in the corresponding load range and extract the lifting speed range in this load-speed pair;

[0028] Then adjust the current lifting speed V d of the variable-frequency tower crane to this lifting speed range.

[0029] As a further solution of the present invention: The energy-saving control method of the LED lighting device is as follows:

[0030] Step K1, Construction area division:

[0031] Divide the construction area into N sub-areas. In this embodiment, the sub-areas are rectangular or circular to ensure coverage of all working surfaces;

[0032] Step K2, Ambient light intensity monitoring:

[0033] Through the environmental acquisition unit, obtain the ambient light intensity G h (i) of each sub-area in real time, where i = 1, 2,..., N;

[0034] Among them, the environmental acquisition unit is composed of multiple light sensors, and the light sensors are deployed at the center position of each sub-area;

[0035] Step K3, Dynamic adjustment of lighting brightness:

[0036] Extract the maximum brightness L of the LED lighting device max , which refers to the maximum light intensity that can be provided in the highest power operating state;

[0037] At the same time, extract the ambient light saturation threshold G preset according to the corresponding construction environment of each sub-region max (i), the ambient light saturation threshold refers to the upper limit of the light intensity of natural light in the construction environment. When the ambient light intensity exceeds this value, the improvement of the visual effect by additional artificial lighting can be ignored;

[0038] Compare the ambient light intensity G of each sub-region h (i) with the ambient light saturation threshold G of its corresponding sub-region max (i):

[0039] When G h (i) ≥ G max (i), then trigger the activation of the automatic shutdown function of the LED lighting device;

[0040] When G h (i) < G max (i), then trigger the activation of the automatic turn-on function of the LED lighting device;

[0041] Step K4, Detection of personnel activities:

[0042] Through the personnel monitoring unit, the human body heat radiation signals of each sub-region are monitored in real time within the specified observation period, and the activity time of the personnel monitored in each sub-region within the observation period is counted through the human body heat radiation signals;

[0043] Among them, the personnel monitoring unit is composed of multiple infrared sensors respectively installed in the sub-regions. When the digital signal output by the infrared sensor is 0, no human body heat radiation signal is generated. When the digital signal output by the infrared sensor is 1, a human body heat radiation signal is generated;

[0044] The activity time is the cumulative duration when the digital signal output by the infrared sensor is 1 within the observation period;

[0045] Then through:

[0046] Calculate the personnel activity frequency A(i) of each sub-region;

[0047] In the formula, Th(i) refers to the activity time of the personnel in the i-th sub-region, and T0 refers to the duration of the observation period;

[0048] Step K5, Dynamic adjustment of lighting light:

[0049] When A(i) = 0, the automatic shutdown function of the LED lighting device is triggered to start.

[0050] When A(i) > 0, the automatic startup function of the LED lighting device is triggered to start.

[0051] As a further solution of the present invention: when the automatic startup function of the LED lighting device is started according to the ambient light intensity of the sub-region; then through:

[0052]

[0053] Calculate the dynamic adjustment value L of the corresponding lighting brightness of the LED lighting device in each sub-region d (i);

[0054] Then the LED lighting device adjusts the lighting brightness of the LED lighting device according to the dynamic adjustment value L of the lighting brightness in the corresponding sub-region d (i).

[0055] As a further solution of the present invention: when the automatic startup function of the LED lighting device is started according to the ambient light intensity of the corresponding sub-region, the human body thermal radiation signal of the sub-region is continuously monitored;

[0056] If the non-generation duration of the human body thermal radiation signal exceeds the preset duration period, the automatic shutdown function of the LED lighting device is triggered to start;

[0057] If the non-generation duration of the human body thermal radiation signal is lower than the preset duration period, the automatic startup function of the LED lighting device is maintained.

[0058] Advantages of the present invention:

[0059] In the present invention, by integrating a renewable energy power generation module (solar photovoltaic panel and wind turbine) and an energy storage module (lithium battery pack and super capacitor), the efficient utilization of clean energy during the construction process is realized, and the dependence on the traditional power grid and carbon emissions are significantly reduced. The system can dynamically adjust the energy distribution according to the real-time working conditions to ensure the optimal use of electric energy, and the overall energy utilization efficiency is increased by more than 30%. The energy-saving control strategy of the variable-frequency tower crane determines the optimal load-speed combination through experiments, so that the motor always works in the best efficiency range, which can significantly reduce the energy consumption of the tower crane.

[0060] In the present invention, the intelligent control module realizes the collaborative and optimized operation of construction equipment. The load adaptive regulation system of the variable-frequency tower crane can automatically adjust the operation parameters according to the real-time load conditions, ensuring both construction safety and minimizing energy consumption. The intelligent regulation of the LED lighting system combines dual monitoring of environmental light and personnel activities to achieve lighting on demand, reducing lighting energy consumption. Through multi-sensor data fusion, the system constructs a complete perception network of the equipment operation status.

[0061] In the present invention, the system adopts a zoning control strategy, divides the construction area into multiple sub-areas, and realizes the precise delivery of energy. Through the dual judgment mechanism of the environmental light saturation threshold and the personnel activity frequency, it ensures that the lighting system provides appropriate brightness lighting only in necessary times and necessary areas. The load interval division and speed optimization strategy of the variable-frequency tower crane realize the refined energy consumption management of heavy equipment.

[0062] In the present invention, the modular design enables the system to have good adaptability and expandability, and can be flexibly configured according to different engineering requirements. The hybrid configuration of the energy storage system (lithium battery + supercapacitor) not only ensures the energy density but also provides a fast power response ability. The collaborative work of multiple control strategies ensures the stable and reliable operation of the system, which can adapt to various complex construction environments.

[0063] In the present invention, the comprehensive energy-saving measures can significantly reduce the overall construction energy consumption and significantly reduce the operation cost. The use of clean energy reduces the consumption of fossil energy, and a single project can reduce carbon dioxide emissions by dozens of tons. The intelligent control system reduces the need for manual intervention and improves the construction management efficiency. The system has the value of popularization and application, and can provide technical support for the construction of green buildings and smart construction sites.

[0064] [[ID=1P2]]Through the innovative system architecture and intelligent control strategy, the present invention realizes the efficient utilization of energy, the optimized operation of equipment, and the intelligent management in the construction process. On the premise of ensuring the construction quality and progress, it significantly improves the energy utilization efficiency, reduces the environmental impact, and has significant economic and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The following further describes the present invention with reference to the drawings.

[0066] Figure 1 is the system frame of a green energy-saving construction system of the present invention Figure 1 .

[0067] Figure 2 is the system frame of a green energy-saving construction system of the present invention Figure 2 . DETAILED DESCRIPTION OF THE INVENTION

[0068] Next, in combination with the accompanying drawings in the embodiments of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention.

[0069] Embodiment 1

[0070] Please refer to Figure 1 and Figure 2 As shown, the present invention is a green energy-saving construction system, including:

[0071] Renewable energy power generation module: represented by solar photovoltaic panels and wind turbines, used to collect solar energy and wind energy and convert them into electrical energy;

[0072] Energy storage module: composed of a lithium battery pack and a super capacitor, used to store the electrical energy generated by the renewable energy power generation module;

[0073] Electrical equipment module: represented by the construction electrical equipment corresponding to the variable-frequency tower crane;

[0074] Intelligent control module: used to dynamically adjust the operating parameters of the electrical equipment module;

[0075] The intelligent control module includes:

[0076] Tower crane information collection unit, used to collect the load weight M of the variable-frequency tower crane in real time d and the lifting speed V d ;

[0077] Equipment collaborative control unit, used to perform energy-saving control on the variable-frequency tower crane;

[0078] The energy-saving control method of the variable-frequency tower crane is as follows:

[0079] Step H1, set multiple load intervals and lifting speed intervals, use the intermediate value of the load interval as the load weight, and use the intermediate value in different lifting speed intervals as the lifting speed for experiments to determine the load-speed pair. The specific method is:

[0080] For the load weight in a load interval, at the lifting speeds in different lifting speed intervals, calculate the corresponding motor powers of the variable-frequency tower crane, and then obtain the lifting speed corresponding to the minimum motor power value from the obtained motor powers. Then, use this load interval and lifting speed interval as the load-speed pair;

[0081] Among them, the motor power P of the variable-frequency tower crane d , is determined by the load weight M of the variable-frequency tower crane d and the lifting speed Vd It is obtained that the formula is as follows: In the formula, g is the acceleration due to gravity, and X d is the effective utilization rate of the motor to convert the input electrical energy into mechanical energy, and X d = (output mechanical power / input electrical power) × 100%; the input electrical power refers to the electrical energy consumed by the motor from the power grid or power source, and the output mechanical power refers to the power of the motor actually driving the load to do work;

[0082] And so on, to determine the lifting speed range in the load - speed pair corresponding to each load range.

[0083] Step H2: Extract the current load weight M of the variable - frequency tower crane d and the lifting speed V d , and then compare them with the corresponding load range and lifting speed range in multiple load - speed pairs:

[0084] If the current load weight M d and the lifting speed V d are respectively in the load range and the lifting speed range in the same load - speed pair, it means that the current motor power of the variable - frequency tower crane is in a reasonable state and does not need to be adjusted;

[0085] On the contrary, it means that the current motor power of the variable - frequency tower crane can be optimized, and the optimization method of the motor power is as follows:

[0086] According to the current load weight M d , obtain the load - speed pair in which it is in the corresponding load range, and extract the lifting speed range in this load - speed pair;

[0087] Then adjust the current lifting speed V of the variable - frequency tower crane d to this lifting speed range.

[0088] Embodiment 1 provides a green energy - saving construction system. By integrating renewable energy power generation modules (such as solar photovoltaic panels and wind turbines) and energy storage modules (such as lithium - ion battery packs and supercapacitors), it effectively reduces the dependence on the traditional power grid and reduces carbon emissions during construction. The core innovation of this system lies in the energy - saving control strategy of the variable - frequency tower crane. By experimentally pre - determining the optimal lifting speed range under different load ranges and dynamically adjusting the operating parameters of the tower crane, it ensures that the motor always works in the lowest energy - consumption state. This optimization method not only improves the energy utilization efficiency, but also extends the service life of the equipment, and at the same time reduces the electricity cost during construction. In addition, this solution has strong versatility and can be applied to construction scenarios of different scales, providing a feasible technical path for green building construction.

[0089] Embodiment 2

[0090] Please refer to Figure 1 and Figure 2 As shown in the second embodiment of the present invention, when the present application is specifically implemented, compared with the first embodiment, the difference between the technical solutions of this embodiment and the first embodiment is only that in this embodiment, the electrical equipment module also refers to the construction electrical equipment corresponding to the LED lighting equipment;

[0091] The intelligent control module further includes:

[0092] An environment acquisition unit for real-time acquisition of the ambient light intensity G of the construction area h ;

[0093] A device collaborative control unit for energy-saving control of the LED lighting equipment;

[0094] The energy-saving control method of the LED lighting equipment is as follows:

[0095] Step K1, Construction area division:

[0096] By dividing the construction area into N sub-areas, in this embodiment, the sub-areas are rectangular or circular to ensure coverage of all working surfaces;

[0097] Step K2, Ambient light monitoring:

[0098] The ambient light intensity G of each sub-area is obtained in real time through the environment acquisition unit h (i), i = 1, 2,... N;

[0099] Among them, the environment acquisition unit is composed of multiple light sensors, and the light sensors are deployed at the center position of each sub-area;

[0100] Step K3, Dynamic adjustment of lighting brightness:

[0101] Extract the maximum brightness L of the LED lighting equipment max , that is, it refers to the maximum light intensity that can be provided in the highest power working state;

[0102] At the same time, extract the ambient light saturation threshold G max (i) preset according to the construction environment corresponding to each sub-area. The ambient light saturation threshold refers to the upper limit of the natural light intensity in the construction environment. When the ambient light intensity exceeds this value, the improvement of the visual effect by additional artificial lighting can be ignored;

[0103] Compare the ambient light intensity G of each sub-area h (i) with the ambient light saturation threshold G of its corresponding sub-area max (i):

[0104] When G h(i) ≥ G max If (i), then trigger the activation of the automatic shutdown function of the LED lighting device;

[0105] When G h (i) < G max If (i), then trigger the activation of the automatic startup function of the LED lighting device;

[0106] Wherein, when the automatic startup function of the LED lighting device is activated according to the ambient light intensity of the sub - region; then through:

[0107]

[0108] Calculate the dynamic adjustment value L d (i); of the corresponding lighting brightness of the LED lighting device in each sub - region

[0109] Subsequently, the LED lighting device adjusts the lighting brightness according to the dynamic adjustment value L d (i) of the lighting brightness in the corresponding sub - region;

[0110] Example 2 further optimizes the lighting management of the construction area on the basis of Example 1. By introducing an intelligent control system for LED lighting devices, more refined energy management is achieved. The system divides the construction area into multiple sub - regions, and uses light sensors to continuously monitor the ambient light intensity, dynamically adjusting the brightness of the LED lighting devices or automatically turning off unnecessary lighting. When natural light is sufficient (the ambient light intensity exceeds the preset threshold), the system will automatically turn off the LED lighting to avoid energy waste; when the light is insufficient, the system will adjust the lighting brightness according to the actual needs, ensuring construction safety while reducing energy consumption. This solution not only improves the intelligence level of the lighting system, but also further reduces the power consumption during construction, enhancing the overall energy utilization efficiency, and is applicable to various construction sites and night construction scenarios.

[0111] Example 3

[0112] Please refer to Figure 1 and Figure 2 As shown in, as Example 3 of the present invention, in the specific implementation of the present application, compared with Example 1 and Example 2, the technical solution of this example lies in combining the solutions of the above - mentioned Example 1 and Example 2. The difference between the technical solution of this example and Example 1 and Example 2 is only that in this example, the intelligent control module includes:

[0113] A personnel monitoring unit for continuously monitoring the detected human body heat radiation signal in the construction area within a specified observation period;

[0114] The subsequent steps for the equipment collaborative control unit to perform energy - saving control on the LED lighting device also include the following:

[0115] Step K4, Personnel Activity Detection:

[0116] The human body thermal radiation signals in each sub-region are monitored in real time by the personnel monitoring unit within the specified observation period, and the activity time of the personnel monitored in each sub-region within the observation period is counted through the human body thermal radiation signals;

[0117] Among them, the personnel monitoring unit consists of multiple infrared sensors respectively installed in the sub-regions. When the digital signal output by the infrared sensor is 0, no human body thermal radiation signal is generated. When the digital signal output by the infrared sensor is 1, a human body thermal radiation signal is generated;

[0118] The activity time is the cumulative duration when the digital signal output by the infrared sensor is 1 within the observation period;

[0119] Then through:

[0120] The personnel activity frequency A(i) of each sub-region is calculated;

[0121] In the formula, Th(i) represents the activity time of the personnel in the i-th sub-region, and T0 represents the duration of the observation period;

[0122] Step K5, Dynamic Adjustment of Illumination Light:

[0123] When A(i) = 0, the automatic shutdown function of the LED lighting device is triggered to start;

[0124] When A(i) > 0, the automatic startup function of the LED lighting device is triggered to start;

[0125] Among them, when the automatic startup function of the LED lighting device is started according to the ambient light intensity of the corresponding sub-region, the human body thermal radiation signal in that sub-region is continuously monitored;

[0126] If the duration of non-generation of the human body thermal radiation signal exceeds the preset duration period, the automatic shutdown function of the LED lighting device is triggered to start;

[0127] If the duration of non-generation of the human body thermal radiation signal is lower than the preset duration period, the automatic startup function of the LED lighting device is maintained;

[0128] Embodiment 3 On the basis of Embodiment 1 and Embodiment 2, the function of monitoring personnel activities is further introduced, making the energy-saving control of the lighting system more accurate and intelligent. By using infrared sensors to monitor the personnel activities in the construction sub-area in real time, the system can determine which areas need lighting and automatically turn off the LED devices when there is no one, avoiding ineffective energy consumption. In addition, the system can calculate the personnel activity frequency and make dynamic adjustments in combination with environmental light data to ensure that the lighting is only turned on when necessary. This dual optimization strategy (light + personnel monitoring) greatly improves the energy-saving effect, especially suitable for construction sites with large personnel flow. At the same time, the system has strong adaptability and can be flexibly adjusted according to the needs of different construction stages, further reducing the operating cost and promoting the development of green construction technology.

[0129] Embodiment 4

[0130] Please refer to Figure 1 and Figure 2 As shown in [relevant figures], as Embodiment 4 of the present invention, in the specific implementation of this application, compared with Embodiment 1, Embodiment 2, and Embodiment 3, the technical solution of this embodiment is to combine and implement the solutions of the above Embodiment 1, Embodiment 2, Embodiment 3, and Embodiment 4.

[0131] Embodiment 4 integrates all the technical solutions of the previous three embodiments to form a complete green energy-saving construction system, covering multiple aspects such as renewable energy power generation, energy storage optimization, energy-saving control of variable-frequency tower cranes, intelligent lighting management, and personnel activity monitoring. The system realizes the efficient utilization of energy throughout the construction process through the collaborative work of multiple modules, minimizing power waste to the greatest extent. For example, the optimized operation of the variable-frequency tower crane reduces the energy consumption of heavy equipment, the intelligent lighting system reduces unnecessary power consumption, and the personnel monitoring function further improves the energy-saving accuracy. This comprehensive energy-saving solution is not only applicable to large-scale construction projects but also can be extended to construction scenarios in industries, municipal engineering, etc., with high economic and environmental protection value. In addition, the modular design of the system enables it to have good scalability and can be adjusted according to different project requirements, providing an important reference for the development of future smart construction sites and low-carbon buildings.

[0132] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula that is closest to the actual situation. The preset parameters and threshold selection in the formulas are set by those skilled in the art according to the actual situation.

[0133] The above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in this application, and all should be covered by the protection scope of this application. Therefore, the protection scope of this application should be subject to the protection scope of the claimed rights.

Claims

1. A green energy-saving construction system, characterized in that, Including: Electrical equipment module: covering the construction electrical equipment corresponding to variable-frequency tower cranes and LED lighting equipment; Intelligent control module: used to dynamically adjust the operating parameters of the electrical equipment module; it includes: Tower crane information collection unit, used to collect the load weight M of the variable frequency tower crane in real time d and the lifting speed V d ; An environmental acquisition unit for real-time acquisition of the environmental light intensity G in the construction area h ; Personnel monitoring unit, used to monitor the detected human body heat radiation signal in the construction area in real time within a specified observation period; Equipment collaborative control unit, used to perform collaborative control on variable-frequency tower cranes and LED lighting equipment, and the collaborative control methods include energy-saving control of variable-frequency tower cranes and energy-saving control of LED lighting equipment.

2. The green energy-saving construction system according to claim 1, characterized in that The energy-saving control method of variable-frequency tower cranes is as follows: Step H1: Set multiple load intervals and lifting speed intervals, use the middle value of the load interval as the load weight, and use the middle value in different lifting speed intervals as the lifting speed for experiments to determine the load-speed pairs composed of load intervals and lifting speed intervals; Step H2, extract the current load weight M of the variable-frequency tower crane d and the lifting speed V d , and then compare them with the corresponding load range and lifting speed range in multiple load-speed pairs: If the current load weight M d and the lifting speed V d are respectively in the load range and the lifting speed range of the same load-speed pair, it means that the current motor power of the variable-frequency tower crane is in a reasonable state and does not need to be adjusted; otherwise, it means that the current motor power of the variable-frequency tower crane can be optimized.

3. The green energy-saving construction system according to claim 2, characterized in that The determination method of load-speed pairs is: For the load weight in a load interval, calculate the corresponding motor power of the variable-frequency tower crane at different lifting speeds in different lifting speed intervals, and then obtain the lifting speed corresponding to the minimum motor power value from the obtained motor powers, and then use this load interval and lifting speed interval as the load-speed pair.

4. The green energy-saving construction system according to claim 3, characterized in that, The motor power P of the variable-frequency tower crane d , is obtained from the load weight M d and the lifting speed V d of the variable-frequency tower crane, and its formula is: In the formula, g is the acceleration due to gravity, and X d is the effective utilization rate of the motor to convert the input electrical energy into mechanical energy, and X d =(output mechanical power / input electrical power)×100%; the input electrical power refers to the electrical energy consumed by the motor from the power grid or power source, and the output mechanical power refers to the power of the motor to actually drive the load to do work; And so on, determine the lifting speed intervals in the load-speed pairs corresponding to each load interval.

5. The green energy-saving construction system according to claim 2, characterized in that The optimization processing method of motor power is as follows: According to the current load weight M d , obtain the load-speed pair in the corresponding load range and extract the lifting speed range in this load-speed pair; Subsequently, adjust the current lifting speed V of the variable-frequency tower crane d to this lifting speed range.

6. The green energy-saving construction system according to claim 1, wherein, The energy-saving control method of LED lighting equipment is as follows: Step K1: Construction area division: Divide the construction area into N sub-areas. In this embodiment, the sub-areas are rectangular or circular to ensure that all working surfaces are covered; Step K2: Ambient light monitoring: The environmental light intensity G of each sub-region is obtained in real time by the environmental acquisition unit h (i), where i = 1, 2, …… N; Among them, the ambient acquisition unit consists of multiple light sensors, and the light sensors are deployed at the center position of each sub-area; Step K3: Dynamic adjustment of lighting brightness: Extract the maximum brightness L of the LED lighting device max , which refers to the maximum light intensity that can be provided in the highest power operating state; Simultaneously extract the ambient light saturation threshold G preset according to the corresponding construction environment of each sub-region max (i), the ambient light saturation threshold refers to the upper limit of the illumination intensity of natural light in the construction environment; The ambient light intensity G of each sub-region h (i) with the ambient light saturation threshold G of its corresponding sub-region max (i) is compared as follows: When G h (i) ≥ G max (i), the automatic shutdown function of the LED lighting device is triggered to start; When G h (i) < G max (i), the automatic turn-on function of the LED lighting device is triggered to start; Step K4: Personnel activity detection: The personnel monitoring unit monitors the human body heat radiation signals in each sub-area in real time within a specified observation period, and counts the activity time of the personnel monitored in each sub-area within the observation period through the human body heat radiation signals; Followed by: Calculate the personnel activity frequency A(i) of each sub-area; In the formula, Th(i) represents the activity time of the personnel in the i-th sub-area, and T0 represents the duration of the observation period; Step K5: Dynamic adjustment of lighting light: When A(i) = 0, trigger the automatic shutdown function of the LED lighting equipment to start; When A(i) > 0, trigger the automatic startup function of the LED lighting equipment to start.

7. The green energy-saving construction system according to claim 6, characterized in that, Among them, The personnel monitoring unit consists of multiple infrared sensors respectively installed in the sub-areas. When the digital signal output by the infrared sensor is 0, no human body heat radiation signal is generated. When the digital signal output by the infrared sensor is 1, a human body heat radiation signal is generated; The activity time is the cumulative duration when the digital signal output by the infrared sensor is 1 within the observation period.

8. An energy-saving green construction system according to claim 6, characterized in that, When the automatic startup function of the LED lighting equipment is activated according to the ambient light intensity of the sub-area; then through: Calculate the dynamic adjustment value L of the corresponding illumination brightness of the LED lighting device in each sub-region d (i); Subsequently, the LED lighting device adjusts the lighting brightness of the LED lighting device according to the dynamic adjustment value L of the lighting brightness in the corresponding sub-region. d (i) to adjust the lighting brightness of the LED lighting device.

9. The green energy-saving construction system according to claim 6, characterized in that, When the automatic startup function of the LED lighting equipment is activated according to the ambient light intensity of the corresponding sub-area, continue to monitor the human body heat radiation signal in this sub-area; If the duration of non-generation of the human body thermal radiation signal exceeds a preset duration period, the automatic shutdown function of the LED lighting device is triggered to start; If the duration of non-generation of the human body thermal radiation signal is lower than the preset duration period, the automatic turn-on function of the LED lighting device is maintained in operation.

10. A green energy-saving construction system according to claim 1, characterized in that, It also includes: Renewable energy power generation module: Composed of a solar photovoltaic panel and a wind turbine generator, it is used to collect solar energy and wind energy and convert them into electrical energy; Energy storage module: Composed of a lithium battery pack and a super capacitor, it is used to store the electrical energy generated by the renewable energy power generation module and provide electrical energy for the electrical equipment module and the intelligent control module.

Images