1667results about "Control inputs involving users/components" patented technology

The invention provides a cold machine and water pump linkage energy-saving control method under a low-load working condition, which relates to the technical field of information and comprises the following steps of: dynamically predicting load requirements under the low-load working condition by analyzing historical operation data of a refrigeration system and combining weather forecast information, equipment operation parameters and data of building personnel activity rules; obtaining a cooling capacity demand curve and a load demand prediction result in future preset time; establishing a system low-load operation mode optimization model, taking the screened control combination meeting the preset energy-saving operation target as model input, and obtaining an optimized system low-load operation mode through the training model; the optimal energy efficiency interval is determined by analyzing the relation between equipment energy consumption and cold storage capacity, and during load demand prediction and control optimization, the interval serves as a target constraint to guide a refrigerator and water pump equipment to operate in a high-energy-efficiency area. And the operation efficiency and the energy-saving effect of the refrigerating system under the low-load working condition are improved.

The invention relates to the technical field of air conditioner energy-saving operation control, and discloses a central air conditioner energy-saving operation control method and system. The method comprises the following steps: acquiring and processing data through a temperature and humidity sensor to obtain a temperature and humidity distribution index; calculating load values according to the indexes and the personnel density to form a distribution diagram; regulating and controlling cold and heat source equipment according to the distribution map to obtain operation parameters; adjusting the water pump fan based on the parameters to form balance data; adjusting the end equipment according to the data to generate a control instruction; and the system state is adjusted in real time according to instructions and comfort feedback to realize energy-saving operation. The problem of energy waste caused by decentralized control of subsystems of a traditional central air conditioning system is solved. By constructing a complete closed-loop control system from environmental perception, load prediction to equipment regulation and control, the operation efficiency of the system under partial load conditions is improved. And meanwhile, refined control is achieved according to different requirements of different areas, and energy consumption is reduced to the maximum extent on the premise that the comfort level of the user is guaranteed.

The invention relates to a machine room environment intelligent regulation and control method fusing multi-source sensing information, and the method comprises the steps: collecting the temperature and humidity data of different regions in a machine room through a temperature and humidity sensor, and collecting the movement track and stay time data of a person in the machine room through a person positioning device, transmitting the collected machine room environment data and personnel activity data to a data fusion module; in the data fusion module, machine room environment data and personnel activity data are aligned according to a time sequence, wrong data and outliers are eliminated, and a data set in a unified format is obtained; a correlation coefficient matrix among the characteristic parameters of the computer room is analyzed through correlation, the characteristic parameters with correlation higher than a preset correlation threshold value are screened out, and the characteristic parameters comprise temperature, humidity, personnel access frequency and staying duration parameters.

The invention relates to the technical field of air conditioner control, and discloses an intelligent building air conditioner group control energy-saving system and method based on multi-source data fusion, and the method comprises the steps: collecting heterogeneous tracks of the activities of a person in a building, and constructing a space-time energy demand coupling map after cross-modal coupling and abnormal outlier suppression processing; an optimized hang compensation factor beta'is obtained based on the atlas, and an energy demand significance region and a non-energy demand significance region are divided; and finally, making an intelligent air conditioner group dynamic energy-saving control strategy according to a region division result and the optimized hang compensation factor. According to the method, the air conditioner can be accurately regulated, the energy utilization efficiency of the intelligent building air conditioning system is remarkably improved, and energy consumption is reduced.

The invention relates to the technical field of air conditioner energy-saving optimization, and discloses an air conditioner energy-saving optimization control system and method based on multi-parameter regulation and control, and the method comprises the following steps: obtaining environment data; the environment data comprises building information model data, indoor environment data, electricity price data and meteorological prediction data; based on the environment data, a three-dimensional game model used for air conditioner energy-saving optimization control is constructed; and solving the three-dimensional game model through a multi-target equalization algorithm, and generating and executing a control instruction of the air conditioning system. Multi-parameter regulation and control of the air conditioning system are achieved, energy can be remarkably saved, the comfort degree of the human body is guaranteed, and meanwhile the electricity utilization cost is reasonably controlled.

The invention relates to the technical field of energy and energy conservation, in particular to a ventilation air conditioner control method based on load prediction. The technical problems that in the prior art, a ventilation air conditioner control method has certain hysteresis quality, advanced adjustment cannot be achieved, and autonomous adjustment and control cannot be conducted on the occasion with large flow are solved. According to the technical scheme, the ventilation air conditioner control method based on load prediction comprises the steps of analyzing the relation between the operation parameters of each component device of an air conditioner system and the building cooling load according to a model prediction result, fitting the change of the relation into a curve, and compiling an operation control scheme under typical working conditions according to the fitted relation curve. The building cooling load prediction value within a period of time can be obtained according to the algorithm, the system formulates the air conditioner system control strategy according to the prediction value, the problems of unreasonable building ventilation air conditioner operation mode and control lag can be solved, the operation energy efficiency of the air conditioner system is improved, on-demand cooling is effectively achieved, and the energy consumption is reduced. And intelligent building operation management is powerfully supported.

The invention relates to the technical field of air-cooled air conditioner control, in particular to an air-cooled air conditioner control method and system based on deep learning, and the method comprises the following steps: obtaining sensor readings of indoor temperature, outdoor temperature and humidity and Wi-Fi channel state information, judging the position number and the activity state of personnel, calculating the position distribution of the personnel in combination with a time window, and calculating the position distribution of the personnel. And integrating to obtain a multi-dimensional environment and load state vector. According to the method, indoor and outdoor temperature, humidity, Wi-Fi channel state information and personnel position distribution and activity states are integrated through a multi-dimensional environment and load state vector, the personnel density change trend is dynamically calculated through a time window, the comprehensiveness and real-time performance of environment perception are enhanced, and high-dimensional data support is provided for control decision making. And a basic comfort degree deviation index is constructed based on the temperature deviation value and the humidity deviation value, and a multi-target performance index set is generated in combination with the wind speed value, the compressor start-stop frequency and the energy consumption power.

The invention relates to the technical field of air conditioner energy-saving systems, and discloses a central air conditioner energy-saving automatic control system and method.The central air conditioner energy-saving automatic control system comprises a sensor module, a control module, a communication module, an intelligent control algorithm module, a dynamic adjusting module and an energy-saving optimization module; the sensor module comprises a temperature sensor, a humidity sensor, a CO2 sensor, an illumination sensor and an occupation sensor, the temperature sensor is used for monitoring indoor and outdoor temperatures and providing real-time data for decision making of a control system, and an NTC (negative temperature coefficient thermistor), a PTC (positive temperature coefficient thermistor) or a DS18B20 digital temperature sensor is adopted. The environment parameters are monitored in real time, the operation state of the air conditioning equipment is dynamically adjusted, the high-energy-consumption operation mode of a traditional air conditioning system is avoided, cooling / heating according to needs is achieved, energy consumption is effectively reduced, the mode is automatically switched to the energy-saving mode in the state that the number of personnel activities is small or no one exists, and therefore the effect of remarkably reducing the operation load and energy consumption can be achieved.

A building system of a building, the building system including one or more memory devices storing instructions thereon that, when executed by one or more processors, cause the one or more processors to update a building condition of an HVAC system of a space in a building at a time t1, wherein the building condition is updated from a default building condition. The instructions when executed by the one or more processors, cause the one or more processors to update the building condition of the space at a time t2 and receive an occupant response of an occupant from the space. The instructions when executed by the one or more processors, cause the one or more processors to update an artificial intelligence (AI) model based on the occupant response and generate, using the AI model, one or more actions for the HVAC system of a plurality of spaces.

An IoT-based intelligent room management system for hotels and resorts, consisting of: a variety of IoT-enabled devices in individual hotel rooms, with each device configured to control a specific room function, including lighting, air conditioning, entertainment systems, and security systems; a centralized management platform that is operationally coupled with the multitude of IoT-enabled devices and configured to communicate with the devices via a wireless network, with the centralized management platform collecting real-time data on room settings, occupancy status, and device performance; a guest interface that includes a mobile application or voice-activated assistant and is configured to allow guests to customize and control room functions, with the guest interface communicating with the central management platform to implement changes to room settings according to user preferences; An automatic occupancy detection system integrated into IoT-enabled devices and the central management platform. The system detects the presence or absence of guests in the room and adjusts room settings, including lighting and air conditioning, to optimize energy consumption when the room is unoccupied; a keyless access system that is operationally linked to the central management platform and provides guests with access to their assigned rooms via smartphones or wearable devices using wireless communication protocols; and A resource management module integrated into the central management platform, providing real-time insights into room occupancy, energy consumption and equipment status, enabling predictive maintenance and optimizing resource allocation within the hotel or resort.

The invention relates to the technical field of mine intelligent ventilation and poison filtration, and discloses a mine intelligent ventilation and poison filtration dynamic regulation and control method and system.The mine intelligent ventilation and poison filtration dynamic regulation and control method comprises the steps that a neural physical hybrid model is constructed, physical constraint conditions are combined with a deep neural network, and mine airflow field distribution is predicted; decomposing the neural physical hybrid model into three hierarchical sub-models, and deploying the three hierarchical sub-models to corresponding computing nodes to realize a hierarchical computing architecture; establishing a multi-level cooperation mechanism based on federal learning, and realizing distributed model training and optimization; constructing a task allocation decision model, and dynamically determining an optimal execution hierarchy of an airflow field calculation task according to task characteristics, resource states and real-time requirements; dynamically adjusting the precision and performance balance of airflow field calculation; according to the method, the key technical problems in the mine ventilation and poison filtration system are solved through the neural physical hybrid model, the multi-level distributed computing architecture and the federal learning collaboration mechanism.

A ventilation system includes: a housing including a first inlet drawing outdoor into the housing, a second inlet drawing room air into the housing, a first outlet discharging outdoor air into an indoor space, and a second outlet discharging room air to an outdoor space; a total heat exchanger exchanging heat between the outdoor air and the room air; a first heat exchanger between the first inlet and the total heat exchanger; a second heat exchanger between the first inlet and the first heat exchanger; a compressor supplying a refrigerant to the first heat exchanger and the second heat exchanger; a four-way valve switching a flow direction of the refrigerant; a first expansion device at an inlet of the first heat exchanger expanding the refrigerant; a second expansion device between the first heat exchanger and the second heat exchanger and expanding the refrigerant; and at least one processor.

Systems and methods executable by a building management system for controlling air cleanliness in a building space are provided. An exemplary method includes predicting an occupancy of the building space during a future time period, identifying an occupant predicted to occupy the building space during the future time period based on the predicted occupancy, obtaining an occupant-specific air cleanliness requirement for the identified occupant, using a predictive air cleanliness model for the building space and the occupant-specific air cleanliness requirement to generate control parameters for building equipment that operate to affect the air cleanliness in the building space, and operating the building equipment using the control parameters to affect the air cleanliness in the building space during the future time period.

The invention discloses a health-care sojourn environment air quality monitoring and purifying method and system based on the Internet of Things, and the method comprises the steps: dividing a dynamic microenvironment region, deploying a multi-mode sensing terminal, collecting indexes, and uploading the indexes to a cloud end; establishing a personalized dynamic standard according to the human body biological rhythm characteristics; generating an initial evaluation value through an environment-health coupling evaluation model, and judging whether the initial evaluation value deviates from a standard or not through a dynamic threshold deviation detection model; if so, predicting an air quality trend by using a space-time multi-dimensional trend deduction model, and generating a target evaluation value; and inputting the regional space purification model to generate a purification strategy, and linking the purification equipment to realize precise targeted purification. According to the method, the limitation of traditional fixed indexes is broken through, the upgrading from environmental monitoring to health response is realized, the health risk can be accurately evaluated, the trend can be predicted, the purification parameters are dynamically adjusted, a monitoring, analysis, prediction and purification closed loop is formed, the air quality regulation and control accuracy and energy efficiency are improved, and an efficient scheme is provided for healthy and nourishment of sojourn.

A method for controlling a dehumidifier is provided. The dehumidifier may include a dehumidifying module having a compressor, a condenser, an expansion valve, an evaporator, and a fan module. The method may include determining by an occupancy sensor whether an occupant is present in an indoor space in which the dehumidifier is located; operating the compressor at a low speed when the occupancy sensor determines that an occupant is present in the indoor space; operating the compressor at a constant or high speed when the occupancy sensor determines that there are no occupants in the indoor space; and stopping operation of the compressor when an indoor humidity reaches a target humidity.

The invention relates to the technical field of control, and discloses an oxygen supply dynamic regulation and control method, system and device for a plateau district and computer equipment, and the method comprises the steps: carrying out the first-stage oxygen supply for an indoor room through a first oxygen supply operation corresponding to a first oxygen supply flow under the condition that there is no person in the indoor room; after the indoor real-time oxygen content reaches the target oxygen volume fraction, if people move in the indoor room and the indoor room is in a ventilation state, second-stage oxygen supply is carried out on the indoor room through second oxygen supply operation corresponding to second oxygen supply flow, so that the indoor real-time oxygen content is kept stable at the target oxygen volume fraction; and the second oxygen supply flow is corrected by using the number of indoor people, the indoor activity type and the indoor real-time carbon dioxide content which are monitored in real time, and the difference value between the indoor real-time oxygen content and the target oxygen volume fraction is kept within the target threshold value range. Finally, the oxygen supply regulation and control method for dynamically controlling the indoor oxygen supply flow of the plateau area based on the environment parameter data monitored in real time is achieved.

The invention provides a real-time energy-saving control method and device for a central air conditioner and a readable storage medium. The method comprises the steps that real-time position information of personnel in an area where the central air conditioner acts is obtained; according to the real-time position information of the personnel, the number of the personnel in each sub-area in the area where the central air conditioner acts is determined, and each sub-area correspondingly has at least one central air conditioner air outlet; central air conditioner control parameters of the corresponding sub-areas are determined according to the number of people in each sub-area; and the movement information of the personnel is obtained in real time, and the central air conditioner control parameters of all the sub-areas are adjusted in real time based on the movement information of the personnel. An intelligent air conditioner control strategy is adopted, the air speed of the air conditioner is intelligently adjusted according to the position of the person and motion prediction, the dynamic control method can optimize energy consumption, and meanwhile the comfort degree of the environment is kept.

The invention relates to the technical field of constructional engineering, and discloses an intelligent ventilation and purification method and system for constructional engineering, and the method comprises the steps: 1, determining the concentration of pollutants in a building based on real-time air quality data, and calculating the required ventilation quantity meeting a preset standard; secondly, the fresh air introduction proportion is adjusted according to the indoor and outdoor temperature and humidity difference value so as to optimize energy consumption and thermal comfort balance; 3, according to the personnel distribution density, the local area air supply intensity is set, and the air circulation uniformity is ensured; fourthly, the system operation mode is regulated and controlled based on the working state of the air purification equipment, so that energy consumption is reduced, and the service life of the equipment is prolonged; the fresh air introduction proportion is intelligently adjusted by comparing indoor and outdoor temperature and humidity differences. For example, when the outdoor temperature and humidity are close to the indoor comfortable interval, the fresh air volume is increased to utilize natural cold and heat sources; when the outdoor environment is extreme, the fresh air volume is reduced, the heat recovery device is started, the air conditioner load is reduced, and energy waste is reduced.

The invention provides an air conditioner and a control method and device thereof, a storage medium and a computer program product, and the method comprises the following steps: detecting whether a person is in a room or not, and detecting whether a pet exists in the room or not when it is detected that no person is in the room; if it is detected that the pet exists, the air conditioner is controlled to be switched to a preset mode; collecting an image of the pet; determining whether the pet has a preset behavior or not according to the collected image of the pet; if it is determined that the pet has the preset behavior, an air conditioner and / or an air purifier in the air conditioning system are / is controlled; and / or, acquiring hair humidity detection data of the pet; according to the acquired hair humidity detection data of the pet, judging the dry and wet state of the hair of the pet; and controlling an air conditioner and / or a dehumidifier and / or a humidifier in the air conditioning system according to the judged dry and wet state of the hair of the pet. According to the scheme provided by the invention, the comfort level of the pet in indoor life can be improved.

The invention relates to the technical field of air conditioning system control, and discloses an airport terminal air conditioning system control method, device and equipment. According to the invention, by combining the number of passengers in any target area in the nth sub-areas of the check-in hall, the security check area and the waiting hall in the preset time period and the load demand parameters of the air conditioning system in the target area in the preset time period, the change of the passenger flow volume in the airport station building can be flexibly adapted; and the regulation and control mode of the corresponding air conditioning system is correspondingly adapted, so that the air conditioning system of the target area is precisely regulated and controlled, and finally the energy consumption of the air conditioning system of the airport terminal is saved.

The invention relates to the technical field of ventilation regulation and control, in particular to an air conditioner door and window joint control method and system, and the method comprises the steps: information collection: constructing a multi-source data collection layer, and obtaining the following data in real time: meteorological early warning data, user operation logs, a regional climate feature library, and a user historical use region; behavior feature extraction: processing user operation logs and thermodynamic diagram data by adopting a space-time convolutional neural network to generate a three-dimensional demand map; dynamic regulation and control calculation: extracting an external window SHGC value and a wall heat conductivity coefficient based on a building BIM model, and calculating an optimal opening threshold value of a door and a window in combination with real-time meteorological data; performing cooperative control: adopting a multi-target particle swarm optimization algorithm, and generating a control instruction set under the targets of energy consumption and comfort; and an instruction is issued to the air conditioner and the electric door and window actuator. The system comprises an information acquisition module, a behavior characteristic acquisition module, a dynamic regulation and control calculation module and a cooperative control execution module. The method has the effect of reducing energy waste.

A system includes multiple HVAC systems. After receiving a demand request, a multiple-system controller a first anticipated power consumption associated with operating a first HVAC system at a first temperature setpoint during a future period of time of the demand response request and a second anticipated power consumption associated with operating a second HVAC system at a second temperature setpoint during the future period of time. Based at least in part on the first and the second anticipated power consumptions, a staging schedule is determined that indicates when to operate the first and second HVAC systems.

The invention provides a heating ventilation air conditioner control method, system and device based on dynamic heat load prediction and a storage medium. The method comprises the following steps: acquiring indoor individual physiological data, environmental parameters and regional personnel distribution data in real time; determining a real-time individual metabolic rate equivalent based on the individual physiological data and the environmental parameters; aggregating the individual metabolic rate equivalents according to the regional personnel distribution data, determining the total heat load and the total heat load change rate of each indoor region, and decomposing the total heat load into a sensible heat load and a latent heat load; and on the basis of the sensible heat load, the latent heat load and the total heat load change rate, air supply temperature, air supply amount and humidity control instructions of the heating ventilation air conditioning system for feed-forward adjustment are generated. According to the technical scheme, dynamic thermal load prediction based on individual physiological data and environmental parameters can be achieved, the indoor total thermal load is quantified in real time, and the feedforward adjustment control instruction of the heating ventilation air conditioning system is generated.

The invention discloses an HVAC intelligent regulation and control method and system based on personnel dynamic prediction, and the method comprises the steps: deploying a plurality of monitoring nodes in a building regulation and control region through a sensing layer, collecting the number of personnel and environment parameter data in the region in real time, and transmitting the data to a comprehensive regulation and control module according to a standard format; predicting the number of people in a short-term dimension and a historical dimension, and outputting a comprehensive predicted number of people after weight fusion; a decision-making layer calculates a target temperature set value according to the real-time number of people and the comprehensive predicted number of people in combination with the thermal comfort temperature and the energy-saving temperature, and generates a regional HVAC equipment regulation and control instruction based on a PID control algorithm; the execution layer adjusts HVAC equipment operation parameters of the corresponding area according to the regulation and control instruction, and the total load of a building air conditioner is synchronously calculated so as to adjust the power of an air conditioner host; and analyzing historical operation data to optimize regulation and control parameters, detecting abnormal data, generating a fault diagnosis report, and realizing iterative optimization.

The invention relates to the field of intelligent control systems, and particularly discloses a water chilling unit operation control method based on artificial intelligence, which comprises the following steps: S1, data acquisition: respectively acquiring operation parameters of each water chilling unit, a chilled water pump, a cooling water pump and a cooling tower in an air conditioning system in real time by utilizing a plurality of sensors, outdoor meteorological parameters and environment parameters of all rooms are collected at the same time; s2, load prediction: establishing a load prediction model by using a neural network according to the collected historical outdoor meteorological parameters, the environment parameters of each room and the corresponding air conditioner load data, and predicting the air conditioner load of the building; s3, performance parameter determination: establishing a performance attenuation model of the water chilling unit, and correcting the COP to obtain real-time dynamic performance parameters of the unit; s4, control strategy generation: optimizing the energy consumption of the water system to obtain an optimal operation strategy of the water system; and S5, controlling execution. By the adoption of the technical scheme, the optimal energy efficiency can be achieved, accurate matching of supply and demand of the cooling capacity can be achieved, and user experience is improved.

The invention discloses an intelligent constant-humidity control FFU integrated system and a dust-free workshop application method thereof, and relates to the technical field of workshop application, and the method comprises an environment sensing unit which is used for collecting internal and external environment parameters and equipment operation states of a workshop in real time; the prediction unit is used for training and generating a model with a time sequence prediction capability by fusing historical production data and real-time environment fluctuation characteristics so as to output a temperature and humidity change trend and a key adjustment time window of each partition of the workshop in a future time period; the decision-making unit is used for dynamically selecting a target operation strategy from a process priority mode, an energy-saving mode and an emergency mode based on real-time production process requirements, an environment sensitivity threshold value and an energy consumption constraint condition; the parameter optimization unit is used for performing wind field parameter adjustment on the FFU unit under the target operation strategy, and minimizing system energy consumption while maintaining uniform distribution of temperature and humidity; adjustment comprises fan rotating speed gradient configuration, air outlet angle cooperative control and airflow circulation path optimization.

A visible light sensor may be configured to sense environmental characteristics of a space using an image of the space. The visible light sensor may be controlled in one or more modes, including a daylight glare sensor mode, a daylighting sensor mode, a color sensor mode, and / or an occupancy / vacancy sensor mode. In the daylight glare sensor mode, the visible light sensor may be configured to decrease or eliminate glare within a space. In the daylighting sensor mode and the color sensor mode, the visible light sensor may be configured to provide a preferred amount of light and color temperature, respectively, within the space. In the occupancy / vacancy sensor mode, the visible light sensor may be configured to detect an occupancy / vacancy condition within the space and adjust one or more control devices according to the occupation or vacancy of the space. The visible light sensor may be configured to protect the privacy of users within the space via software, a removable module, and / or a special sensor.

The invention provides a conference room environment regulation and control method and system, a medium and a product. In the method, an environment regulation and control system firstly determines a target temperature according to an external environment temperature, and then carries out temperature regulation and control in advance in combination with reservation time. When the conference is carried out, the environment regulation and control system carries out targeted monitoring on the temperature of different areas by dividing the air outlet area and the non-air outlet area in the conference room, and it is ensured that the temperature imbalance phenomenon is found in time. When the regional temperature difference between the air outlet region and the non-air outlet region reaches a temperature difference threshold value, the environment regulation and control system determines the regulation sequence according to the number of people in the region and the regional temperature difference, and it is ensured that resources are preferentially used for the region with the larger influence. And finally, the environment regulation and control system calculates the air volume and the air direction by combining the space parameters of the to-be-regulated area and regulates and controls the air volume and the air direction in sequence, so that the temperature of each area synergistically approaches a target value. According to the method, the temperature difference of different positions of the conference room is effectively relieved, and the balance and comfort of the whole environment are improved.

The utility model discloses a zero-wind-feeling dehumidifier capable of being adjusted according to the human body state, and the zero-wind-feeling dehumidifier comprises a dehumidifier body, a cover plate and an output pipe, and further comprises a wind direction control structure, a posture monitoring structure, a mounting and fixing structure and a purification structure. The posture state of the person is judged, the air direction control structure is automatically controlled to adjust according to the posture state height of the human body, then the air outlet angle is automatically adjusted according to the human body state, and therefore good zero-wind feeling can be achieved in different human body states; the problem that adjustment cannot be conducted according to different human body states in the prior art is solved, the dehumidifier is provided with the purification structure, gas output by the dehumidifier body can be further purified through the purification structure, impurities contained in the gas can be further reduced, and the good using effect is achieved.