5 results about "Humidity ratio" patented technology

The invention discloses an air conditioning box, an air conditioning system, a control method of the air conditioning system and a vehicle, and relates to the technical field of automobile thermal management. The air conditioning box comprises a box body, a first space and a second space are formed in the box body, and an air outlet of any one of the first space and the second space is independent of an air inlet of the other one of the first space and the second space; the first heat exchange core body is located at the air inlet of the first space; the second heat exchange core body is located at the air inlet of the second space; the first air door is arranged in the box body and located between the first space and the second space, and the first space is communicated with or separated from the second space through the first air door. According to the novel air conditioning cabinet, the problem that the heat-humidity ratio in a vehicle cannot be adjusted can be solved on the premise that the arrangement space, the weight and the cost of the air conditioning cabinet are not additionally increased.

According to the air port for local humidification and the local humidification method, a ventilation structure and a humidification structure can be integrated, the structure is simple, and the installation space is saved. The air port (1) for local humidification comprises a mounting shell (10) used for being mounted on a device main body, and comprises an outer layer humidification pipe assembly (30) which is attached to the mounting shell (10) and is used for sending wet air with preset humidity to a target microenvironment, and an inner layer humidification pipe assembly (30) which is attached to the mounting shell (10) and is used for sending wet air with preset humidity to the target microenvironment, and the inner-layer ventilation pipe assembly (20) is nested in the outer-layer humidification pipe assembly (30) and is used for sending air with the humidity lower than the preset humidity to the target microenvironment.

This invention relates to an adaptive nonlinear control method for air conditioning temperature and humidity, comprising the following steps: Step 1: Establishing a nonlinear dynamic model of the air handling unit's temperature and humidity control system using humidity source intensity, heat load, outdoor humidity ratio, and outdoor temperature as unknowns, and then performing system transformation; Step 2: Constructing a serial-parallel estimation model to obtain estimated values ​​for humidity source intensity and heat load; Step 3: Establishing a humidity control signal to control indoor humidity to reach the desired value, and designing a first humidity source intensity adaptive law to handle the estimated humidity source intensity; Step 4: Constructing a virtual control signal and a heat load adaptive law to handle the heat load, and designing a first Young's inequality and a second humidity source intensity adaptive law to handle the estimated humidity source intensity; Step 5: Designing a second Young's inequality to handle unknown changing humidity ratio and unknown changing temperature; Step 6: Establishing a temperature control signal to control indoor temperature to reach the desired value; This technical solution offers high control accuracy.

The application discloses an ammonia quantitative monitoring method facing anisotropic response of an olfactory sensor and edge calculation, belongs to the technical field of gas monitoring, and specifically comprises the following steps: constructing an anisotropic response double-sensor array; collecting voltage signals and environmental temperature and humidity data in real time; performing anisotropic response logic gate determination on two voltage signals; storing voltage values and temperature and humidity data corresponding to effective signals into a sliding window buffer, extracting time domain statistical features and dynamic trend features, combining temperature and humidity to construct voltage-temperature ratio and voltage-humidity ratio as physical cross features, and obtaining feature vectors after standardization; inputting the feature vectors into a lightweight neural network model deployed at the microcontroller end, and outputting ammonia concentration values after nonlinear calibration and temperature and humidity compensation. The application realizes high-reliability real-time quantitative monitoring of ammonia by inhibiting environmental common-mode interference through anisotropic response logic gating, and realizing temperature and humidity adaptive compensation through physical cross features and an edge neural network.

This invention relates to the field of multi-split air conditioning technology, and provides a method for predicting energy-saving performance of multi-split air conditioning systems based on air humidity, as well as a multi-split air conditioning system itself. The method includes: collecting relative humidity data of the indoor environment in the room where each indoor unit is located using humidity sensors in each indoor unit; transmitting the relative humidity data from the indoor unit to the outdoor unit, and then uploading it from the outdoor unit to a centralized control device; determining humidity characteristic parameters based on the relative humidity data of each indoor unit; comparing the humidity characteristic parameters with parameters of a preset humidity scenario model to obtain a humidity comparison result; determining the current indoor environmental conditions based on the humidity comparison result; and generating energy-saving reminder information based on the current indoor conditions. This invention enables automatic diagnosis and targeted guidance of the root causes of inefficient operation of multi-split air conditioning systems, effectively improving the operational energy efficiency and intelligent management level of multi-split air conditioning systems.