Closed-type plant-like operation environment control system for urban renewal housing

Abstract

The application discloses a closed factory-like operation environment control system for urban renewal housing, relates to the technical field of environment control, and comprises a closed operation platform, an environment control unit, a structure safety monitoring unit and a construction automation unit.The closed operation platform comprises a jacking steel platform, a fully-closed enclosure and an openable and closable awning.The environment control unit comprises a temperature and humidity sensor array, an intelligent spraying device, a ventilation system and a lighting control system.The structure safety monitoring unit comprises a stress sensor, a displacement sensor and a tilt sensor network.The construction automation unit is integrated with a hydraulic jacking control unit, a formwork positioning unit, a concrete distribution unit and a construction robot.A central intelligent control unit is in communication connection with each unit and is used for executing closed-loop control.The application changes the traditional high-altitude open-air construction environment into a controllable closed factory-like operation space, realizes accurate regulation and control of the construction environment and real-time monitoring and early warning of the structure safety.

Description

Technical Field

[0001] This invention relates to the field of environmental control technology, and more specifically to an operational environment control system for closed-type factory-like residential buildings used in urban renewal projects. Background Technology

[0002] In the process of urban development, urban renewal has become a key measure to optimize urban spatial layout and improve urban functions and quality; with the increasing number of urban renewal projects, residential construction, as the core content of urban renewal, faces unprecedented challenges and opportunities. Traditional construction methods suffer from numerous problems, including poor construction environment, high labor intensity, low level of intelligence, low construction efficiency, high safety risks, and significant impact on the lives and traffic of surrounding residents. These issues make it difficult to meet the large-scale, high-intensity construction demands of urban renewal projects. Cloud-based construction factory technology for urban renewal residential building machines has emerged, bringing a brand-new solution to the field of urban renewal residential construction.

[0003] However, while existing cloud-based construction plants have improved the working environment at heights to some extent, their environmental control systems often suffer from limitations such as single environmental control parameters and a lack of comprehensive and coordinated control of multiple parameters; simple environmental control strategies that cannot adapt to the dynamically changing environmental load and personnel comfort requirements during construction; relatively independent structural safety monitoring and control that fail to achieve intelligent linkage with environmental control and construction automation; and a lack of self-learning and self-adaptive capabilities, making it difficult to achieve optimal control results in different projects, seasons, and construction stages.

[0004] Therefore, there is an urgent need for a closed-loop, factory-like operating environment control system that can achieve refined environmental control, proactive safety protection, intelligent multi-system collaboration, adaptive optimization, and high resource efficiency, so as to promote the development of urban renewal and residential construction towards intelligence, greenness, and efficiency. Summary of the Invention

[0005] The technical problem to be solved by the present invention is to address the shortcomings of the prior art by providing a closed-off factory-like operating environment control system for urban renewal residential buildings.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A closed-off, factory-like operational environment control system for urban renewal residential buildings includes:

[0008] An enclosed work platform, comprising a liftable steel platform, a fully enclosed enclosure structure surrounding the liftable steel platform, and an openable canopy on top of the liftable steel platform;

[0009] The environmental control unit includes a temperature and humidity sensor array, an intelligent sprinkler system, a ventilation system, and a lighting control system, all installed within the enclosed work platform.

[0010] The structural safety monitoring unit includes a network of stress sensors, displacement sensors, and tilt sensors arranged at the locations of the liftable steel platform and the supporting structure.

[0011] The construction automation unit integrates a hydraulic jacking control unit, a formwork positioning unit, a concrete placement unit, and a construction robot.

[0012] The central intelligent control unit is communicatively connected to the environmental control unit, structural safety monitoring unit, and construction automation unit, and is used to perform closed-loop control.

[0013] Furthermore, the central intelligent control unit achieves environmental regulation through three parallel control loops;

[0014] The first loop is used to calculate the steady-state comfort component in real time, and the value of the steady-state comfort component determines the target air volume of the ventilation system and the humidity compensation amount of the intelligent spray device.

[0015] The second loop is used to calculate the pollutant control component in real time, and the value of the pollutant control component determines the air exchange frequency of the ventilation system.

[0016] The third loop is used to calculate the illumination adaptation component in real time. The value and sign of the illumination adaptation component determine the dimming strategy of the lighting control system and the linkage control of the openable canopy.

[0017] Furthermore, in the first loop, when the steady-state comfort component is below the upper limit threshold... And higher than the adjustment threshold At this time, maintain the ventilation system at the basic circulating air volume and turn off the sprinkler system;

[0018] When the steady-state comfort component is below the adjustment threshold And higher than the safety threshold At that time, calculate the increase in air volume and start the spray device for humidity compensation;

[0019] When the steady-state comfort component is below the safety threshold At that time, the ventilation system is activated at its maximum airflow, and the spray device is activated at its maximum spray volume for forced cooling and dehumidification.

[0020] Furthermore, in the second loop, the air exchange frequency is negatively correlated with the pollutant control component value;

[0021] When the pollutant control component is below the purification threshold If the dust or CO2 concentration exceeds the standard, the intelligent spray device will activate the atomization dust suppression mode while increasing the ventilation frequency. The spray coverage area will be determined based on the dust concentration sensor.

[0022] Furthermore, in the third loop, if the light adaptation component is less than 0, the illuminance gap is calculated, and the lighting control system adjusts the brightness of the LED array according to the illuminance gap value by a preset proportional coefficient.

[0023] If the light adaptation component is greater than the glare threshold Then the lighting control system switches to anti-glare mode and reduces the color temperature to below 4000K. At the same time, it controls the openable canopy and adjusts the angle of the filter grid in a specific sector according to the sun's azimuth angle.

[0024] Furthermore, the central intelligent control unit achieves structural safety control through the following closed-loop control process:

[0025] Real-time acquisition of stress, displacement, and tilt angle data; followed by filtering and data fusion.

[0026] Calculate the comprehensive structural safety index and initiate a graded control response based on the value of the comprehensive structural safety index;

[0027] After the safety hazards are manually confirmed to be eliminated, the central intelligent control unit gradually restores the system operation according to the preset safety procedures;

[0028] Specifically, the hierarchical control response includes:

[0029] Level 1 Response: When the comprehensive structural safety index is less than 1.25 but greater than or equal to 1.1, a warning will be highlighted on the monitoring interface, and the data trend will be recorded.

[0030] Level 2 response: When the comprehensive structural safety index is less than 1.1 and greater than or equal to 1.05, an instruction is automatically sent to the construction automation unit to limit the hydraulic jacking speed to 50% of the rated value and to suspend the operation of the hydraulic concrete placing boom;

[0031] Level 3 Response: When the overall structural safety index is less than 1.05, an emergency stop command is immediately sent, the hydraulic system is locked, all construction robots enter servo lock state, and an audible and visual alarm is triggered.

[0032] Furthermore, the openable canopy is composed of N independently driven fan-shaped units spliced ​​together. Each fan-shaped unit has a sealing strip on its edge, and its driving mechanism includes a servo motor and a fall arrestor. The fully enclosed enclosure structure includes a metal frame fixed around the steel platform and a lightweight composite protective panel covering the outside of the frame. The inner side of the protective panel is covered with a sound-absorbing layer.

[0033] Furthermore, the central intelligent control unit includes a main controller and multiple edge computing nodes distributed in various areas of the closed operating platform; the main controller is responsible for task planning and overall coordination, and the edge computing nodes are responsible for processing sensor data in their respective areas in real time and executing fast closed-loop control. The main controller and the edge computing nodes synchronize data through industrial Ethernet and wireless redundant networks.

[0034] Furthermore, the work environment control system also integrates a mobile terminal management module, which allows authorized personnel to view environmental parameters, structural safety status, construction progress, and equipment status in real time via mobile terminals, and to receive early warning information pushed by the system; the mobile terminal provides the function of remote manual intervention and feedback in non-emergency situations.

[0035] Furthermore, the central intelligent control unit also includes a self-learning optimization module, which continuously records historical environmental data, control commands, and manual intervention feedback from the mobile terminal management module, and dynamically optimizes the control parameters of the first loop, the second loop, and the third loop through reinforcement learning algorithms.

[0036] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0037] 1. This invention achieves precise control of multiple parameters such as temperature, humidity, wind speed, dust, CO2 concentration, and illuminance through the synergistic effect of three parallel control loops: steady-state comfort component, pollutant control component, and light adaptation component. This transforms the high-altitude open-air working environment into a comfortable environment similar to an indoor factory.

[0038] 2. This invention achieves proactive monitoring, prediction and early warning, and automatic protection of structural safety through real-time calculation of the comprehensive structural safety index and a three-level hierarchical response mechanism. When the index is less than 1.05, it automatically shuts down in an emergency, effectively preventing structural safety accidents.

[0039] 3. Through a self-learning optimization module based on DDPG reinforcement learning, the system can dynamically optimize the parameters of each control loop according to historical data, real-time operating conditions and human feedback, adapting to the needs of different projects, seasons and construction stages, and reducing the amount of manual debugging work.

[0040] 4. This invention achieves energy and water conservation through intelligent environmental control strategies, such as dynamically adjusting the ventilation frequency based on pollutant concentration, dynamically adjusting the canopy opening and lighting brightness based on illumination requirements, and precisely controlling the spray volume based on temperature and humidity deviations.

[0041] 5. Through the mobile terminal management module, the present invention allows managers to monitor the system status, receive early warning information, and make remote interventions anytime and anywhere, thereby improving management efficiency and response speed to emergencies. Attached Figure Description

[0042] Other features, objects, and advantages of the invention will become more apparent from the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0043] Figure 1 This is a schematic diagram of the system structure according to an embodiment of the present invention;

[0044] Figure 2 This is a flowchart illustrating the structural safety monitoring and control process according to an embodiment of the present invention.

[0045] Figure 3 This is a flowchart of the environmental control unit according to an embodiment of the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0047] like Figure 1 As shown, a closed-loop factory-like work environment control system for urban renewal residential buildings includes:

[0048] An enclosed work platform, comprising a liftable steel platform, a fully enclosed enclosure structure surrounding the liftable steel platform, and an openable canopy on top of the liftable steel platform;

[0049] The environmental control unit includes a temperature and humidity sensor array, an intelligent sprinkler system, a ventilation system, and a lighting control system, all installed within the enclosed work platform.

[0050] The structural safety monitoring unit includes a network of stress sensors, displacement sensors, and tilt sensors arranged at the locations of the liftable steel platform and the supporting structure.

[0051] The construction automation unit integrates a hydraulic jacking control unit, a formwork positioning unit, a concrete placement unit, and a construction robot.

[0052] The central intelligent control unit is communicatively connected to the environmental control unit, structural safety monitoring unit, and construction automation unit, and is used to perform closed-loop control.

[0053] like Figure 3 As shown, the central intelligent control unit achieves environmental regulation through three parallel control loops;

[0054] The first loop is used to calculate the steady-state comfort component in real time, and the value of the steady-state comfort component determines the target air volume of the ventilation system and the humidity compensation amount of the intelligent spray device.

[0055] The second loop is used to calculate the pollutant control component in real time, and the value of the pollutant control component determines the air exchange frequency of the ventilation system.

[0056] The third loop is used to calculate the illumination adaptation component in real time. The value and sign of the illumination adaptation component determine the dimming strategy of the lighting control system and the linkage control of the openable canopy.

[0057] The formula for calculating the steady-state comfort component is as follows:

[0058]

[0059]

[0060] in, This represents the steady-state comfort component, with a value range of [0,1]. A larger value indicates a more comfortable environment. The index represents the normalized deviation index, where T represents the measured temperature value (measured by an array of temperature and humidity sensors), H represents the measured humidity value (measured by an array of temperature and humidity sensors), and V represents the measured wind speed value (measured by a wind speed sensor built into the ventilation system). , and These represent the optimal values ​​of the environmental parameters, and These represent the maximum allowable deviation of an environmental parameter from its optimal value. When the deviation reaches this value, the negative impact of that parameter on comfort becomes significant. , and These represent the parameter weight coefficients;

[0061] When all parameters are at their optimal values, D=0. =1; When all parameters reach the maximum permissible deviation, D=1. =0.

[0062] The environmental parameters are set according to the specific season, as shown in Tables 1 and 2:

[0063] Table 1 Summer Operating Conditions:

[0064]

[0065] Table 2 Winter Operating Conditions:

[0066]

[0067] In the first loop, when the steady-state comfort component is below the upper limit threshold And higher than the adjustment threshold At this time, the ventilation system is maintained at the basic circulating air volume, the sprinkler system is closed, and the basic circulating air volume is 2000 m³ / h;

[0068] When the steady-state comfort component is below the adjustment threshold And higher than the safety threshold At that time, calculate the air volume increment and start the sprinkler system for humidity compensation. The calculation formula is:

[0069]

[0070]

[0071] in, Indicates the increase in air volume. This represents the air volume adjustment coefficient, taken as 0.8. Indicates the adjustment threshold. This indicates the maximum air volume of the ventilation system, which is 8000 m³ / h. Indicates the humidity compensation amount. Indicates the humidity compensation coefficient. This represents the optimal value of the humidity environmental parameter. This indicates the maximum flow rate of the spray device, which is 20 L / min.

[0072] When the steady-state comfort component is below the safety threshold At that time, the ventilation system is activated at its maximum airflow, and the spray device is activated at its maximum spray volume for forced cooling and dehumidification.

[0073] in, Set it to 0.85. Set it to 0.70. Set it to 0.40.

[0074] The formula for calculating the pollutant control component is as follows:

[0075]

[0076] in, This represents the pollutant control component, with a value range of [0,1]. This indicates real-time dust concentration, PM10 monitoring value. This represents the standard value for dust concentration, taken as 150 μg / m³. This indicates the real-time carbon dioxide concentration. This represents the standard value for carbon dioxide concentration, taken as 1000 ppm. This represents the dust attenuation coefficient, taken as 1.5, reflecting the weight of dust's impact on air quality. This represents the CO2 impact coefficient, set to 0.8, reflecting the weight of CO2's impact on air quality.

[0077] In the second loop, the air exchange frequency is negatively correlated with the pollutant control component value, as shown in the following formula:

[0078]

[0079] in, Indicates the ventilation frequency. This indicates the basic ventilation frequency, 2 times / hour. This indicates the maximum ventilation frequency, 10 times / hour;

[0080] When the pollutant control component is below the purification threshold If the dust or CO2 concentration exceeds the standard, the system will increase the ventilation frequency and activate the atomization dust suppression mode of the intelligent spray device. The spray coverage area is determined by the dust concentration sensor, and the purification threshold is set to 0.5.

[0081] When the pollutant control component is greater than or equal to 0.80, the air exchange frequency is taken as the basic air exchange frequency, 2 times / hour, and the spray device is turned off;

[0082] When the pollutant control component is greater than or equal to 0.50 and less than 0.80, the ventilation frequency is... The spray mode is a timed spray dust suppression system with a cycle of 60 seconds and a duty cycle of 30%.

[0083] When the pollutant control component is below the purification threshold At this time, the strong exhaust mode is activated, the air exchange frequency is set to the maximum air exchange frequency, the spray device is activated to activate the high-pressure atomization dust suppression mode, the spray coverage is determined by the dust concentration sensor to locate the pollution hotspot area, the spray is implemented in a targeted manner, and the air quality alarm is triggered.

[0084] Determining pollution hotspots based on dust concentration sensors includes the following steps:

[0085] The platform is equipped with 4-8 dust concentration sensors to form a monitoring network. When the dust concentration is below the purification threshold, the system will detect the dust concentration. The system performs the following steps:

[0086] 1. Read the coordinates and concentration values ​​of each sensor; 2. Use inverse distance weighted (IDW) interpolation to estimate the dust concentration distribution throughout the workspace; 3. Identify dust concentration distributions that exceed a set threshold, such as 1.5 times the set threshold. 4. Calculate the geometric center of the continuous spatial region as the spray aiming point; 5. Control the multi-degree-of-freedom nozzles of the intelligent spraying device to spray directionally and quantitatively at the hot spot area.

[0087] The formula for calculating the light adaptation component is:

[0088]

[0089] in, This represents the illumination adaptation component, with a value range of [-1, 1]. This represents the measured illuminance on the working surface, measured by an illuminance sensor. This indicates the required illuminance for the current construction process, based on preset values ​​in the process library. This indicates the permissible deviation of illuminance, taken as 100 lux;

[0090] The required illumination for the current construction process includes: 500 lux for rebar tying, 300 lux for formwork installation, 200 lux for concrete pouring, and 750 lux for quality inspection.

[0091] In the third loop, if the illumination adaptation component is less than 0, the illuminance gap is calculated, and the lighting control system adjusts the brightness of the LED array according to a preset proportional coefficient based on the illuminance gap value. The specific formula is as follows:

[0092]

[0093] in, Indicates the brightness adjustment level. This represents the dimming ratio factor, taken as 0.02 lux. -1 ;

[0094] The light adaptation component is greater than 0 and less than the glare threshold. At the same time, the lighting system maintains its current brightness, and the canopy maintains its current opening degree;

[0095] If the light adaptation component is greater than the glare threshold Then the lighting control system switches to anti-glare mode and reduces the color temperature to below 4000K. At the same time, it controls the openable canopy and adjusts the angle of the filter grid in a specific sector according to the sun's azimuth angle.

[0096] Glare threshold The specific formula for the angle of the filter grid is set to 0.5:

[0097]

[0098] in, Indicates the angle of the light filter grid. To represent the ideal illuminance on the working surface, take 500 lux. Represents the arcsine function. This indicates the real-time solar azimuth angle, with true north as 0°, increasing clockwise. This indicates the real-time solar altitude angle, with 0° representing the horizon and 90° representing the zenith. Indicates the center azimuth angle of the celestial sector. and The weighting coefficients are adjusted to weigh the direct impact of illuminance deviation and the geometric impact of the sun's position, respectively.

[0099] Adjusting the threshold The baseline value can be dynamically adjusted according to the construction stage (such as the reinforcement stage and the concrete curing stage). For example, the concrete curing period is sensitive to humidity. It can be automatically adjusted up to 0.75.

[0100] Purification threshold The baseline value can be adjusted with the outdoor Air Quality Index (AQI). When the outdoor AQI > 100 (light pollution), it will automatically tighten. To 0.55, internal purification is enhanced in advance.

[0101] Glare threshold The baseline value can be linked to the solar altitude angle; at noon, when the risk of glare is high, it can be automatically adjusted downwards. If the glare level drops to 0.45, anti-glare measures should be initiated in advance.

[0102] like Figure 2 As shown, the central intelligent control unit achieves structural safety control through the following closed-loop control process:

[0103] Real-time acquisition of stress, displacement, and tilt angle data; followed by filtering and data fusion.

[0104] Calculate the comprehensive structural safety index and initiate a graded control response based on the value of the comprehensive structural safety index;

[0105] After the safety hazards are manually confirmed to be eliminated, the central intelligent control unit gradually restores the system operation according to the preset safety procedures;

[0106] Specifically, the hierarchical control response includes:

[0107] Level 1 Response: When the comprehensive structural safety index is less than 1.25 but greater than or equal to 1.1, a warning will be highlighted on the monitoring interface, and the data trend will be recorded.

[0108] Level 2 response: When the comprehensive structural safety index is less than 1.1 and greater than or equal to 1.05, an instruction is automatically sent to the construction automation unit to limit the hydraulic jacking speed to 50% of the rated value and to suspend the operation of the hydraulic concrete placing boom;

[0109] Level 3 Response: When the overall structural safety index is less than 1.05, an emergency stop command is immediately sent, the hydraulic system is locked, all construction robots enter servo lock state, and an audible and visual alarm is triggered.

[0110] The formula for calculating the comprehensive structural safety index is as follows:

[0111]

[0112] Where Z represents the comprehensive structural safety index, Indicates the monitoring section number, This indicates the total number of monitoring sections arranged on the liftable steel platform and its supporting structure. This represents the dynamic resistance of the i-th monitoring section at time t. This represents the load effect value of the i-th monitoring section at time t. Indicates the displacement monitoring direction number. This indicates the total number of displacement monitoring directions. This represents the displacement monitoring value in the a-th direction. This represents the allowable displacement limit in the a-th direction. This represents the attenuation coefficient due to displacement, taken as 2.0. This represents the maximum tilt angle detected by all tilt sensors. This represents the mean of the probability distribution of the tilt angle, taken as 0°. This represents the standard deviation of the probability distribution of the tilt angle, taken as 0.5°. This represents the complementary error function, i.e., erfc.

[0113] The formula for calculating dynamic resistance is as follows:

[0114]

[0115] in, Indicates initial resistance. This represents the k-th type of damage variable, specifically: {concrete cracking, steel corrosion, loose connections}. and This represents the material damage parameter in the Paris formula. Indicates the range of stress intensity factor variation. Indicates time step The number of load cycles within, This represents the integral variable used to calculate the accumulated fatigue damage from the start of construction to the current moment.

[0116] The initial resistance is calculated based on the design drawings of the monitored section and the ultimate bearing capacity according to national design specifications.

[0117] Material parameters are obtained by fitting the corresponding material fatigue design curve (SN curve) in the design specifications, or by conducting fatigue tests on the specific material specimens in the laboratory.

[0118] The method for calculating the load effect value includes: placing strain gauges or fiber optic grating sensors at the i-th monitoring section to measure the strain at key points of the section in real time; calculating the stress through material constitutive relations, such as Hooke's law; and then calculating the internal force of the section based on the geometric properties of the section. The internal force of the section is the load effect value.

[0119] The allowable displacement limits specifically include: a vertical displacement limit of H / 500, where H is the platform height, and a horizontal displacement limit of H / 1000.

[0120] The recovery process specifically includes: 1. Manual safety hazard investigation; 2. Confirmation of safety hazard elimination; 3. System self-check and initialization; 4. Gradual recovery according to the preset safety process.

[0121] The openable canopy is composed of N independently driven fan-shaped units. Each fan-shaped unit has a sealing strip on its edge, and its driving mechanism includes a servo motor and a fall arrestor. The fully enclosed enclosure structure includes a metal frame fixed around the steel platform and a lightweight composite protective panel covering the outside of the frame. The inner side of the protective panel is covered with a sound-absorbing layer.

[0122] The number of openable and closable canopy fan-shaped units is N=12, and the opening angle of a single unit ranges from 0° to 90°. The drive mechanism includes: servo motor: rated power 1.5kW, rated torque 50Nm; reducer: reduction ratio 1:50; encoder: 17-bit resolution; anti-fall locking device: electromagnetic brake; the sealing strip uses EPDM rubber, with weather resistance of -40℃ to 120℃.

[0123] The central intelligent control unit includes a main controller and multiple edge computing nodes distributed in various areas of the closed operating platform. The main controller is responsible for task planning and overall coordination, while the edge computing nodes are responsible for processing sensor data in their respective areas in real time and executing fast closed-loop control. The main controller and the edge computing nodes synchronize data through industrial Ethernet and a wireless redundant network.

[0124] The work environment control system also integrates a mobile terminal management module, which allows authorized personnel to view environmental parameters, structural safety status, construction progress, and equipment status in real time, and receive early warning information pushed by the system. The mobile terminal also provides the function of remote manual intervention and feedback in non-emergency situations.

[0125] The mobile terminal management module has three levels of access control: 1. Observer: Can only view system status; 2. Operator: Can adjust parameters in non-emergency situations; 3. Administrator: Can perform all operations, including intervention in emergency situations. All operations require authentication and are logged.

[0126] The central intelligent control unit also includes a self-learning optimization module, which continuously records historical environmental data, control commands, and manual intervention feedback from the mobile terminal management module, and dynamically optimizes the control parameters of the first loop, the second loop, and the third loop through reinforcement learning algorithms.

[0127] The control parameters specifically include: the adjustment threshold in the first loop. Safety threshold Calculation coefficient for air volume increment Humidity compensation coefficient Purification threshold in the second loop Basic ventilation frequency Maximum ventilation frequency Glare threshold in the third loop Dimming ratio coefficient The weighting coefficients x and y are calculated for the color temperature value of the anti-glare mode and the angle of the filter grid.

[0128] The reinforcement learning algorithm employs the Deep Deterministic Policy Gradient Algorithm (DDPG). The state space includes the steady-state comfort component, pollutant control component, illumination adaptation component, and structural safety index. The action space includes adjustments to various control parameters in the first, second, and third loops. The reward function is a multi-objective weighted function comprehensively reflecting environmental comfort maintenance, equipment energy consumption, and structural safety risk, with the specific formula as follows:

[0129]

[0130] in, Represents the reward function, Indicates a comfort reward. This indicates a cost penalty. Indicates a safety reward. , and Let represent the learning weights, set to 0.3, 0.3, and 0.4 respectively, and their calculation formulas are as follows:

[0131]

[0132]

[0133]

[0134] in, This represents the synergistic effect coefficient, taken as 0.3. Indicates total energy consumption. This indicates the total water consumption. and These represent the penalty coefficients, taken as 0.015 / kWh and 5 / ton, respectively.

[0135] In the comfort reward, the min function mandates that the system has no weaknesses; any low score in any area will lower the overall score. The product term encourages the system to optimize all dimensions simultaneously. In the safety reward, when the structural safety index is in the high safety zone (greater than 1.1), the reward increases gradually. Once it falls into the warning zone, the penalty increases exponentially. In the cost penalty, total energy consumption includes the power of ventilation system fans, lighting control system power, sprinkler pump power, canopy drive motor power, and power consumption of control cabinets and sensing systems. Total water consumption includes water consumption of the sprinkler system, dust suppression system, and humidity compensation system.

[0136] The specific implementation process of the DDPG algorithm in this system includes:

[0137] 1. Establish two core neural networks: the Actor network (responsible for generating control parameters and adjusting actions based on the current environmental state) and the Critic network (responsible for evaluating the value of actions). At the same time, set up an experience storage pool to accumulate system operation data.

[0138] 2. During actual operation, the Actor network outputs a set of control parameters to fine-tune actions based on the real-time status. After executing these actions, the system stores the resulting new status, the obtained reward (calculated by the reward function), and other data into the experience storage pool.

[0139] 3. The system periodically extracts a batch of historical data from the experience pool to train and update the two networks. The Critic network learns to more accurately predict the long-term value of actions; the Actor network, based on the Critic network's evaluation, learns how to output action strategies that will yield higher rewards.

[0140] 4. Strategy Iteration and Deployment: By continuously repeating steps 2 and 3, the Actor network's strategy is continuously optimized. Once the training is mature, the network can be used for real-time control parameter tuning, enabling the system to adapt to different construction stages, weather conditions, and operational requirements.

[0141] The examples described herein are merely preferred embodiments of the invention and are not intended to limit the concept and scope of the invention. Any modifications and improvements made by those skilled in the art to the technical solutions of the invention without departing from the design concept of the invention should fall within the protection scope of the invention.

Claims

1. A closed-loop factory-like operating environment control system for urban renewal residential buildings, characterized in that: include: An enclosed work platform, comprising a liftable steel platform, a fully enclosed enclosure structure surrounding the liftable steel platform, and an openable canopy on top of the liftable steel platform; The environmental control unit includes a temperature and humidity sensor array, an intelligent sprinkler system, a ventilation system, and a lighting control system, all installed within the enclosed work platform. The structural safety monitoring unit includes a network of stress sensors, displacement sensors, and tilt sensors arranged at the locations of the liftable steel platform and the supporting structure. The construction automation unit integrates a hydraulic jacking control unit, a formwork positioning unit, a concrete placement unit, and a construction robot. The central intelligent control unit is communicatively connected to the environmental control unit, structural safety monitoring unit, and construction automation unit, and is used to perform closed-loop control. The central intelligent control unit achieves environmental regulation through three parallel control loops. The first loop is used to calculate the steady-state comfort component in real time, and the value of the steady-state comfort component determines the target air volume of the ventilation system and the humidity compensation amount of the intelligent spray device. The second loop is used to calculate the pollutant control component in real time, and the value of the pollutant control component determines the air exchange frequency of the ventilation system. The third loop is used to calculate the illumination adaptation component in real time. The value and sign of the illumination adaptation component determine the dimming strategy of the lighting control system and the linkage control of the openable canopy. The central intelligent control unit achieves structural safety control through the following closed-loop control process: Real-time acquisition of stress, displacement, and tilt angle data; followed by filtering and data fusion. Calculate the comprehensive structural safety index and initiate a graded control response based on the value of the comprehensive structural safety index; After the safety hazards are manually confirmed to be eliminated, the central intelligent control unit gradually restores the system operation according to the preset safety procedures; Specifically, the hierarchical control response includes: Level 1 Response: When the comprehensive structural safety index is less than 1.25 but greater than or equal to 1.1, a warning will be highlighted on the monitoring interface, and the data trend will be recorded. Level 2 response: When the comprehensive structural safety index is less than 1.1 and greater than or equal to 1.05, an instruction is automatically sent to the construction automation unit to limit the hydraulic jacking speed to 50% of the rated value and to suspend the operation of the hydraulic concrete placing boom; Level 3 Response: When the comprehensive structural safety index is less than 1.05, an emergency stop command is immediately sent, the hydraulic system is locked, all construction robots enter servo lock state, and an audible and visual alarm is triggered. The formula for calculating the comprehensive structural safety index is as follows: Where Z represents the comprehensive structural safety index, Indicates the monitoring section number, This indicates the total number of monitoring sections arranged on the liftable steel platform and its supporting structure. This represents the dynamic resistance of the i-th monitoring section at time t. This represents the load effect value of the i-th monitoring section at time t. Indicates the displacement monitoring direction number. Indicates the total number of displacement monitoring directions. This represents the displacement monitoring value in the a-th direction. This represents the allowable displacement limit in the a-th direction. This indicates the effect of displacement on the attenuation coefficient. This represents the maximum tilt angle detected by all tilt sensors. This represents the mean of the probability distribution of the tilt angle. This represents the standard deviation of the probability distribution of the tilt angle. Represents the complementary error function; The formula for calculating dynamic resistance is as follows: in, Indicates initial resistance. Denotes the k-th type of damage variable. and This represents the material damage parameter in the Paris formula. Indicates the range of stress intensity factor variation. Indicates time step The number of load cycles within, This represents the integral variable used to calculate the accumulated fatigue damage from the start of construction to the current moment. The central intelligent control unit also includes a self-learning optimization module, which continuously records historical environmental data, control commands, and manual intervention feedback from the mobile terminal management module, and dynamically optimizes the control parameters of the first loop, the second loop, and the third loop through reinforcement learning algorithms.

2. The working environment control system according to claim 1, characterized in that, In the first loop, when the steady-state comfort component is below the upper limit threshold And higher than the adjustment threshold At this time, maintain the ventilation system at the basic circulating air volume and turn off the sprinkler system; When the steady-state comfort component is below the adjustment threshold And higher than the safety threshold At that time, calculate the increase in air volume and start the spray device for humidity compensation; When the steady-state comfort component is below the safety threshold At that time, the ventilation system is activated at its maximum airflow, and the spray device is activated at its maximum spray volume for forced cooling and dehumidification.

3. The working environment control system according to claim 2, characterized in that, In the second loop, the air exchange frequency is negatively correlated with the pollutant control component value; When the pollutant control component is below the purification threshold If the dust or CO2 concentration exceeds the standard, the intelligent spray device will activate the atomization dust suppression mode while increasing the ventilation frequency. The spray coverage area will be determined based on the dust concentration sensor.

4. The working environment control system according to claim 3, characterized in that, In the third circuit, if the light adaptation component is less than 0, the illuminance gap is calculated, and the lighting control system adjusts the brightness of the LED array according to the illuminance gap value and a preset proportional coefficient. If the light adaptation component is greater than the glare threshold Then the lighting control system switches to anti-glare mode and reduces the color temperature to below 4000K. At the same time, it controls the openable canopy and adjusts the angle of the filter grid in a specific sector according to the sun's azimuth angle.

5. The working environment control system according to claim 4, characterized in that, The openable canopy is composed of N independently driven fan-shaped units. Each fan-shaped unit has a sealing strip on its edge, and its driving mechanism includes a servo motor and a fall arrestor. The fully enclosed enclosure structure includes a metal frame fixed around the steel platform and a lightweight composite protective panel covering the outside of the frame. The inner side of the protective panel is covered with a sound-absorbing layer.

6. The working environment control system according to claim 5, characterized in that, The central intelligent control unit includes a main controller and multiple edge computing nodes distributed in various areas of the closed operating platform. The main controller is responsible for task planning and overall coordination, while the edge computing nodes are responsible for processing sensor data in their respective areas in real time and executing fast closed-loop control. The main controller and the edge computing nodes synchronize data through industrial Ethernet and a wireless redundant network.

7. The working environment control system according to claim 6, characterized in that, The work environment control system also integrates a mobile terminal management module, which allows authorized personnel to view environmental parameters, structural safety status, construction progress, and equipment status in real time, and receive early warning information pushed by the system. The mobile terminal also provides the function of remote manual intervention and feedback in non-emergency situations.

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