1171results about "Control inputs involving users/components" patented technology

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 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.

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.

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 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 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.

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.

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.

A ventilation system including a ventilator; and an outdoor unit, wherein the ventilator includes a housing including a first intake, a second intake, a first outlet and a second outlet, a plurality of dampers to change flow paths of air flowing through the housing, first and second air blowers, a heat exchanger in the housing, and a processor to control the dampers and first and second air blowers to form a first flow path in which outside air flows through the heat exchanger, or form a second flow path in which room air flows through the heat exchanger, to thereby form a flow path in the ventilator, while air flows through the flow path, control the outdoor unit to form frost on the heat exchanger, and control the outdoor unit to stop operating based on a preset frosting termination condition so that the frost melts to clean the heat exchanger.

Techniques for creating health assessments based on Volatile Organic Compound (VOC) detection are described. In an example, a VOC sensor measures a concentration of a VOC within an enclosed space during a time period. An accumulation of carbon dioxide is detected within the space during the time period. Based on the accumulation of carbon dioxide it is determined that a human is present within the space and that the space is substantially sealed. The VOC sensor then detects that the concentration of the VOC within the space increased during the time period. A health assessment for the human is generated based on the detected increase in the VOC and a notification including the assessment is issued to an electronic device.

The invention discloses a dynamic adjustment method for a thermal comfort neutral value of an air-conditioned room, relates to the technical field of intelligent control, and solves the problem that other factors influencing the thermal comfort neutral value of the air-conditioned room are not considered in the prior art, so that the temperature of an air conditioner is adjusted through a thermal comfort neutral value method. The user experience feeling is poor; and the efficiency of the adjusting method is low. A comfortable temperature value of an air-conditioned room is calculated according to environment data, and a thermal comfort neutral value of the air-conditioned room is calculated accordingly; generating an air conditioner aging coefficient according to the air conditioner data, and then calculating and adjusting a thermal comfort neutral value with an air-conditioned room thermal comfort neutral value; the adjustment thermal comfort neutral value is assigned to the air conditioning equipment for adjustment, the external environment temperature, the number of persons existing in the room, the age influence and the activity duration are considered, so that the thermal comfort neutral value of the air-conditioned room is more accurate, and meanwhile air conditioner performance reduction caused by air conditioner aging is considered; and therefore, the heat comfort neutral value of the air-conditioned room is updated, and the user comfort is improved.

The invention discloses an air conditioner intelligent regulation and control method and device based on a comfort model. The method comprises the steps that firstly, the indoor environment temperature and the human body temperature are collected in real time through a sensor module; then, an environment comfort model to be used in a temperature interval corresponding to the indoor environment temperature is determined, and meanwhile, a human body comfort model to be used in a temperature interval corresponding to the human body temperature is determined; inputting the indoor environment temperature into a to-be-used environment comfort degree model to obtain an indoor environment comfort degree value, and inputting the indoor environment temperature and the human body temperature into a to-be-used human body comfort degree model to obtain a human body comfort degree value; and air conditioner control parameters are determined based on the indoor environment comfort level value and the human body comfort level value. The air conditioner can be controlled according to changes of the indoor environment and changes of the human body temperature of the user, and therefore the experience comfort of the user is improved.

The invention discloses a personalized comfortable air conditioning system based on AI visual identification, and belongs to the technical field of air conditioners, and the personalized comfortable air conditioning system comprises a data acquisition module used for acquiring multi-modal real-time data of a user according to AI vision; the data processing module is used for processing the multi-modal real-time data of the user and determining multi-modal fusion data of the user; the analysis and prediction module is used for constructing a personalized comfortable air conditioner demand prediction model to analyze the multi-modal fusion data of the user and determining a personalized comfortable air conditioner demand prediction result; and the comfort regulation and control module is used for dynamically adjusting air conditioner operation parameters to meet the requirement of a user for air conditioner comfort experience. The problem that in the prior art, personalized and comfortable air conditioner adjusting experience cannot be provided for a user based on AI visual recognition, and the use feeling of the user is low is solved. Personalized and comfortable air conditioner adjusting experience can be provided for the user on the basis of AI visual recognition, the use feeling of the user is improved, and the user requirement can be well met.

The embodiment of the invention provides a control method and system of an air conditioner control system and a storage medium, and belongs to the field of air conditioner control. The method comprises the following steps: receiving first detection data of a passive infrared sensor, second detection data of a visual sensor and third detection data of a multi-path detection sensor; determining the temperature confidence of the target object according to the first detection data; determining the attitude confidence of the target object according to the second detection data; according to the third detection data, the air supply path interference confidence coefficient of the target object is determined; performing confidence coefficient weighting processing according to the temperature confidence coefficient, the attitude confidence coefficient and the air supply path interference confidence coefficient to obtain a target object confidence coefficient; when the confidence coefficient of the target object is smaller than or equal to a preset first confidence coefficient threshold value, the visual sensor and the multi-path detection sensor are controlled to enter a dormant state; otherwise, the air conditioner power parameters and / or the air supply path are / is adjusted. According to the embodiment of the invention, energy consumption and use experience can be considered.

The invention relates to the technical field of air conditioner control, in particular to an air conditioner control method, an air conditioner control system and an air conditioner. The method comprises the following steps: acquiring environment monitoring parameters of a plurality of regions, performing temperature and humidity change analysis and multi-region temperature and humidity spatial distribution calculation, and constructing a multi-region temperature and humidity fluctuation distribution diagram; acquiring a monitoring image of each region based on the high-definition camera, and performing cross-region personnel flow behavior prediction to generate cross-region personnel behavior prediction data; local heat flow distribution mining is carried out on the multi-region temperature and humidity fluctuation distribution map according to cross-region personnel behavior prediction data, heat flow distribution speculation is carried out, and a heat flow distribution prediction map is constructed; and an air conditioner historical monitoring log is obtained, multi-period personalized use habit evolution analysis is carried out, and therefore air conditioner use habits of different areas are obtained. Based on personalized user temperature demand analysis, more efficient and accurate intelligent air conditioner control is achieved.

The invention discloses a variable-air-volume air conditioner control and adjustment method and system based on parameter adjustment, and relates to the technical field of variable-air-volume air conditioner adjusting.The variable-air-volume air conditioner control and adjustment method comprises the steps that (5) according to comprehensive thermal comfort evaluation coefficients corresponding to all using partitions, fuzzy set types which all using partitions belong to are judged and obtained; and 6, according to the fuzzy set type to which each use belongs, corresponding control operation is conducted on the use subareas and the corresponding direct association subareas and indirect association subareas, energy waste of the air conditioning system can be effectively reduced by dynamically adjusting the temperature and the air volume, and especially in the area with the large personnel number change, the energy consumption of the air conditioning system can be effectively reduced. By considering various factors such as the number of personnel, the activity intensity and the thermal sensing temperature, the system can dynamically adjust operation of the air conditioning system according to actual requirements, more accurate thermal comfort control is provided, the problem of supercooling or superheating is avoided, and the thermal comfort of a user is remarkably improved.

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.

A system for controlling heating, ventilation, and air conditioning (HVAC) systems includes a camera that captures images including temperature data for the space. An image analysis module is configured to receive the images and analyze the images to determine a current temperature in the space. A computer is configured to determine a future temperature in the space and determine an amount of heating or cooling output needed to maintain a predetermined temperature in the space. A controller is configured to communicate with a heating, ventilation, and air conditioning (HVAC) system. The HVAC system is configured to control the temperature in the space by heating or cooling the space. The controller is configured to transmit the determined amount of heating or cooling output needed to maintain the predetermined temperature in the space to the HVAC system to maintain the predetermined temperature in the space.