581 results about "Conditioning equipment" patented technology

The invention discloses a power proxy service system and method based on artificial intelligence, and the method comprises the steps: collecting power data in real time through an intelligent electric meter and a sensor, and uploading the power data to a cloud platform through the Internet of Things for preprocessing and marking; predicting the power load by using time sequence analysis, regression, SVM and LSTM methods in combination with weather, season and holiday factors; power grid load dispatching is optimized through reinforcement learning or a genetic algorithm, and automatic allocation is achieved; the sensor monitors the state of the power equipment in real time, predicts the fault risk and gives an alarm in advance; the system provides energy-saving suggestions according to historical power consumption data of a user, and adjusts an equipment operation mode in real time; the intelligent customer service server pushes personalized electricity consumption suggestions based on natural language processing; an encryption technology and multiple identity authentication are adopted to guarantee data security, regular security audit and vulnerability repair; according to the electric power proxy service system and method based on artificial intelligence, integration with an AI system and construction and optimization of an intelligent power grid and renewable energy technology are promoted.

The invention relates to the technical field of intelligent control, and particularly discloses a linkage control method for energy-saving ventilation equipment, which comprises the following steps of: acquiring indoor and outdoor temperature, indoor carbon dioxide concentration and personnel occupancy state data in real time; according to the method, deep collaborative analysis is carried out on the indoor personnel occupancy state and the deviation between the carbon dioxide concentration and a target set value, so that joint characterization of the current indoor fresh air volume regulation and control requirement is achieved, control parameters of a fresh air volume PI D controller are dynamically optimized accordingly, and a basic fresh air volume regulation instruction is calculated. On the basis, thermal disturbance introduced by fresh air is further quantified based on the outdoor and indoor temperature difference, and the thermal disturbance serves as a feedforward signal to be compensated to an air conditioner load adjusting loop, so that dynamic adjustment of the air conditioner load is achieved. In this way, cooperative control over ventilation and air conditioning systems can be achieved, the fresh air-air conditioning equipment energy consumption coupling conflict in traditional control is restrained, and therefore the building energy consumption is reduced while the indoor environment quality is guaranteed.

The invention discloses a refrigeration equipment control method and system for a communication machine room, and relates to the field of heat dissipation control, and the method comprises the steps: obtaining machine room indoor temperature and equipment heating data of the communication machine room, and determining a preset refrigeration index according to the machine room indoor temperature and the equipment heating data; the operation parameters of the air conditioning equipment are adjusted to refrigeration operation parameters; when the temperature difference value between the indoor temperature of the machine room and the outdoor environment temperature is higher than a preset starting threshold value, starting parameters of the natural cold energy exchange unit are determined; the natural cold energy exchange unit is controlled to operate according to the starting parameters, and operating parameters of the air conditioning equipment are adjusted to be optimized operating parameters; determining a temperature change trend curve of the outdoor environment temperature based on the weather forecast information, and determining an optimization adjustment node according to the temperature change trend curve; and when the adjusting nodes are optimized, the starting parameters of the natural cold energy exchange unit and the operation parameters of the air conditioning equipment are adjusted. By implementing the application, the energy use of the refrigeration equipment in the communication machine room can be saved.

The invention discloses an energy efficiency management system for low-carbon and energy-saving operation of building electromechanical equipment, and belongs to the technical field of building energy saving and intelligent control. The system comprises a data acquisition module, an energy efficiency analysis module, an optimization decision module and an execution control module; the data acquisition module acquires information such as equipment operation parameters in real time through the heterogeneous sensor network and the LoRaWAN edge gateway; the energy efficiency analysis module performs multi-dimensional evaluation on the basis of a dynamic energy efficiency reference algorithm by fusing an equipment energy efficiency ratio, carbon emission per unit area and the like; the optimization decision module adopts a mixed integer nonlinear programming algorithm, simulates working conditions through a mixed digital twin model, and generates a control strategy for collaborative optimization of energy consumption, carbon emission and equipment life; the execution control module dynamically adjusts equipment parameters by using a fuzzy PID composite controller; the method breaks through the limitation of static evaluation and single-target optimization of a traditional system, the comprehensive energy efficiency can be improved by 15%-30%, carbon emission is reduced by 20% or above, the service life of equipment is prolonged, and the credibility requirement of carbon checking is met.

The invention relates to the field of cultural relic protection, and discloses a cultural relic preventive protection system based on storage environment monitoring and regulation, which comprises a data acquisition module, a data fusion module, a trend prediction module, an optimal regulation module and an alarm notification module, the data acquisition module acquires multi-modal data in a cultural relic storage environment; the data fusion module performs weighted fusion on the multi-modal data to generate fusion data representing an environment state; the trend prediction module predicts the fusion data and generates a trend prediction value of a future environment state; the optimal regulation and control module generates a multi-step optimal regulation and control path and outputs a regulation and control instruction to regulate the equipment; and the alarm notification module generates graded alarm information and notifies a manager through a user interface or a mobile terminal. The system effectively improves the stability and protection efficiency of a cultural relic storage environment through precise monitoring, prospective prediction and intelligent regulation and control, and realizes intelligent and automatic preventive protection of cultural relics.

The invention discloses an air conditioner load response optimization method based on multi-dimensional data fusion, relates to the technical field of air conditioner control, and solves the problem that the number of personnel may suddenly increase or suddenly decrease in an air conditioner refrigeration area. The load capacity predicted only from the air conditioning equipment is difficult to adapt to the complex scene; the accuracy of predicting the load capacity in the future time interval is reduced, and the comfort level of the user is correspondingly reduced. Comprising the following steps: 1, acquiring environment data and image data of each monitoring area; 2, importing the image data into a personnel distribution intelligent model for analysis to obtain a personnel distribution diagram; performing analysis based on the personnel distribution map to obtain a personnel density value used for representing the personnel density of the shopping mall; performing analysis based on the personnel density value and the environment data to obtain a load demand quantity; 3, performing dynamic adjustment based on the load demand quantity to obtain a corresponding optimization adjustment report; and the energy-saving effect of the air conditioner load and the comfort degree of a user are improved.

The invention discloses an intelligent disk monitoring system based on multi-modal data fusion and a fault early warning method, and relates to the technical field of power plant management, and the method comprises the steps: collecting the real-time operation data of equipment; performing dimension reduction processing on the operation data by using a principal component analysis algorithm; inputting the data subjected to dimension reduction into a long short-term memory network model, modeling the time sequence dependence of the data by using the long short-term memory network model, and predicting the future operation state of the equipment; based on the prediction result of the operation state, performing feature extraction on the data through a convolutional neural network; according to an output result of the convolutional neural network, alarm signals of different levels are generated according to set threshold levels; and according to the grade of the alarm signal, adjusting operation parameters of the equipment through a feedback control mechanism. According to the intelligent disk monitoring system based on multi-modal data fusion, the accuracy, the real-time performance and the intelligent level of equipment monitoring are improved, and the fault early warning precision and the system response speed are remarkably improved.

The invention provides a workshop-based energy management and intelligent scheduling optimization system, and the system comprises a data collection module which is used for obtaining the energy consumption data and equipment state data of production equipment, environment sensors and a power grid in a workshop in real time; the data preprocessing module is used for carrying out abnormal value correction, multi-source data alignment and normalization processing on the original data; the energy prediction module predicts future workshop energy consumption demand and energy supply fluctuation through an improved long short-term memory network; the scheduling optimization module is used for constructing a multi-constraint optimization model based on the energy consumption prediction result and generating an equipment start-stop and energy distribution scheme; the dynamic control module is used for adjusting equipment operation power and a power grid interaction strategy in real time according to the optimization scheme; the energy efficiency evaluation module is used for calculating an energy utilization rate, carbon emission intensity and a scheduling scheme stability index; and the feedback correction module is used for iteratively updating the prediction model and the optimization parameters according to the actual operation data and the evaluation result. The intelligent level of energy management can be improved.

The invention relates to the technical field of electric energy quality control, and discloses an electric energy quality control method based on model prediction, a data acquisition module acquires power grid operation parameters including voltage, current, frequency and phase information in real time, indexes such as harmonic content, voltage deviation and three-phase unbalance degree are rapidly calculated according to the input parameters, and the operation is completed within a specified time. The prediction module is connected with the central processing unit, receives indexes and combines historical data through a time sequence algorithm. And the control strategy generation module generates a strategy containing reactive compensation switching and filter parameter adjustment instructions by using an optimization algorithm according to the prediction result. And the execution module drives the adjusting equipment, quickly responds, timely improves the electric energy quality when the threshold value is exceeded, and feeds back a result to the central processing unit to optimize subsequent control. The system has the advantages of prospective accurate control, high adaptability and intelligence, efficient resource utilization and cost control, and real-time performance and reliability guarantee.

The invention provides a transient voltage stability control method and system based on transmission and distribution cooperation. The method comprises the following steps: constructing a power distribution network reactive power support capability quantification model; quantizing a reactive power support capability boundary in real time by solving a power distribution network reactive power support capability quantification model, and determining a reactive power support power feasible region capable of being provided; and based on a quantitative evaluation result, dynamically adjusting a reactive power interaction value between the power transmission and distribution networks by adopting an improved droop control strategy, and realizing power transmission network transient voltage stability control based on active support of the power distribution network. Power distribution is carried out according to the dynamic reactive power margin of the reactive power regulation equipment by considering the transient voltage support requirement of the power transmission network and the reactive power transmission loss of the power distribution network; and obtaining a reactive power regulation instruction, and coordinating reactive power resources at the power distribution network side according to transient voltage stability control and power distribution of the power transmission network to realize cooperative control. Based on the method, the invention further provides a transient voltage stability control system based on transmission and distribution cooperation. The optimal transient voltage support is provided for the power transmission network.

The invention discloses a self-adaptive regulation and control method for an air conditioning system based on information matching. The self-adaptive regulation and control method mainly comprises the following steps that firstly, a data set used for building cold load prediction is divided into a low-completeness data set and a high-completeness data set through a proposed information completeness judgment method; and for the high-completeness data set, regulating and controlling the air conditioning system by adopting a model prediction control method according to the load prediction model and the air conditioning equipment model. And for a low-completeness data set, a proposed migration imitation learning regulation and control method based on deep reinforcement learning is adopted. According to the method, the influence of data quality on the model prediction precision and the regulation and control effect is considered, the influence of fluctuation of historical data quality on the regulation and control effect can be overcome, the relative advantages of the model prediction control method and the reinforcement learning method are integrated, compared with a single regulation and control method, the energy-saving and cost-saving effects can be improved, and good robustness is achieved.

The invention discloses air conditioning equipment, a control method of the air conditioning equipment and a computer readable storage medium, and relates to the technical field of the air conditioning equipment, and the control method of the air conditioning equipment comprises the steps that multiple candidate parameter values of control parameters of the air conditioning equipment in the next operation period are obtained, and the multiple candidate parameter values of the control parameters of the air conditioning equipment in the next operation period are obtained based on a feedforward control strategy and a feedback control strategy; predicting a control deviation value of each control target of the air conditioning equipment under each candidate parameter value of the control parameters; based on the target weight value of each control target, performing weighted fusion processing on the control deviation value of each control target under each candidate parameter value to obtain a comprehensive deviation value of each candidate parameter value; and the candidate parameter value with the minimum comprehensive deviation value in all the candidate parameter values serves as a target parameter value, and the air conditioning equipment is controlled to operate according to the target parameter value of the control parameter in the next operation period. The control effect and the control adaptability of the air conditioning equipment can be improved at the same time.

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 a connector terminal plug-in mounting device with a material belt buffering function, and relates to the technical field of terminal processing equipment, and the connector terminal plug-in mounting device comprises a material belt feeding module and a shell feeding module which are arranged in parallel, and a terminal bending station, a buffering mechanism, a terminal cutting station and a terminal plugging station which are sequentially arranged along the feeding direction of the material belt feeding module, the buffering mechanism is provided with a lower buffering sensor and an upper buffering sensor, a material belt is conveyed through the material belt feeding module and penetrates through the space between the lower buffering sensor and the upper buffering sensor, the material belt is detected through the lower buffering sensor and the upper buffering sensor, the working speed of the equipment is automatically adjusted, and the working efficiency of the equipment is improved. The buffer mechanism can eliminate the interference between adjacent stations, balance the working speed of each station, guarantee the stable conveying of the material belt, facilitate the improvement of the production efficiency and the yield, and is high in automation degree, reduces the labor input, and is high in production efficiency.

The utility model relates to the technical field of air conditioning equipment, in particular to a heat exchanger and an air conditioner. The heat exchanger is applied to the air conditioner, the air conditioner has a reheating dehumidification mode, and the heat exchanger comprises a first heat exchange part, a second heat exchange part and a first throttling element; in the reheating dehumidification mode, the first heat exchange part is configured to heat air flowing through the first heat exchange part; the second heat exchange part is configured to cool and dehumidify the air flowing through the second heat exchange part; the ratio of the action area of the first heat exchange part and the air to the action area of the second heat exchange part and the air is 0.2-2; the first throttling element is arranged between the first heat exchange part and the second heat exchange part in series. The proportion of the action area of the first heat exchange part and the action area of the second heat exchange part and the air is limited, and therefore it can be effectively guaranteed that the good temperature control dehumidification effect can be achieved in the reheating dehumidification mode, and the use experience feeling of a user is improved.

The invention relates to the technical field of voltage regulation, in particular to a self-adaptive voltage regulation system of a power grid, which comprises a voltage unit capable of being connected with the power grid to introduce and distribute voltage; the data unit is connected with the voltage unit and is used for detecting, transmitting and processing the distributed voltage; the diagnosis unit is connected with the data unit, diagnoses the voltage, generates a control instruction, and combines the load information with a diagnosis result; and the adjusting unit is connected with the diagnosis unit, receives the control instruction and executes voltage adjustment through an adjusting device. According to the self-adaptive voltage regulation system of the power grid, in the whole regulation process, voltage signals can be comprehensively and accurately obtained, an accurate basis is provided for follow-up regulation, the load condition and the operation state of the power grid are fully considered, a multi-dimensional information fusion mode is adopted, the control instruction generation module can generate extremely accurate control instructions, and the regulation efficiency is improved. And accurate adjustment of the power grid voltage is realized.

The invention discloses a central air conditioner control system which comprises at least one outdoor unit and at least one indoor unit in communication connection with the outdoor units through communication buses. The controllers can communicate with one another and are respectively connected with the communication bus; the temperature and humidity sensor is used for collecting indoor temperature data and humidity data; wherein the controller is used for storing current regional information, weather information and equipment operation records; the controller is also used for establishing a thermal comfort evaluation / recommendation model and an intelligent prediction schedule model by using a machine learning algorithm; the controller is further used for forming recommended control parameters according to the set requirements of the user and sending the recommended control parameters to the outdoor unit or the indoor unit. According to the invention, based on the information of the area where the user is located, the weather information, the indoor environment information and the user information, a machine learning algorithm is utilized to establish a thermal comfort evaluation recommendation model and an intelligent prediction schedule model, the models are combined to form a recommendation control strategy according to a scene set by the user, and optimal control parameters are provided for the user. And in cooperation with the energy-saving effect of the central air conditioning equipment, the purpose of efficient and energy-saving operation is achieved on the premise that the comfort level of a user is met.

The invention relates to the technical field of museum safety management, and discloses a museum intelligent monitoring system based on multi-source electronic information fusion, and the system comprises a multi-source electronic information collection module which obtains video monitoring data, environment sensor data and passenger flow monitoring data distributed in a museum; the data fusion module is used for extracting dynamic behavior characteristics from the video monitoring data, extracting abnormal environment parameters from the environment sensor data, extracting density distribution characteristics from the passenger flow monitoring data, and generating a comprehensive risk map through multi-modal characteristic fusion; the intelligent early warning module is used for generating graded early warning signals based on risk types contained in the comprehensive risk map; and the linkage control module is used for triggering corresponding control operations in security and protection equipment starting, environment regulation equipment regulation or passenger flow dispersion terminal prompting in the corresponding areas according to the graded early warning signals. The safety supervision and management efficiency of the museum can be improved, and various risks in the museum can be comprehensively, accurately and timely managed, controlled and handled.

The invention relates to the technical field of equipment monitoring, in particular to an air conditioning equipment state monitoring system and method, and the system comprises a load curve construction module, a compressor power scheduling module, a power fluctuation trend analysis module, a compressor fault prediction module and a refrigerant leakage identification module. According to the method, the load curve of the air conditioning equipment is monitored in real time, the key operation data including the cooling capacity requirement and the compressor exhaust temperature are integrated, load management is more accurate, then energy efficiency is optimized, the load change rate and historical data are compared, accurate prediction of the power requirement can be achieved, and the current power change rate and the historical power change rate are compared, so that the energy efficiency is improved. The power fluctuation trend can be effectively recognized, potential faults can be recognized in an early stage, the refrigerant leakage problem can be found in time by monitoring the pressure change rate and the pressure difference cumulative gradient, safety risks are avoided, the energy efficiency and reliability of an air conditioner system are improved, the service life of equipment is effectively prolonged, and the maintenance cost is reduced.

The invention discloses a VOCs emission dynamic prediction and energy-saving control system for catalytic combustion equipment in a casting workshop and a medium, the system comprises a high-frequency VOCs concentration monitoring unit which adopts TDLAS and FTIR spectrum analyzers and obtains high-precision concentration data through a data fusion algorithm, and a secondary differential signal of the TDLAS analyzer is independently extracted as a key feature; the data preprocessing and feature engineering module is used for processing multi-source data; the dynamic emission prediction module is internally provided with an attention mechanism time sequence convolutional network ATCN model, and realizes the ultra-early prediction of the emission concentration by fusing the secondary differential signal and historical data; the multi-objective optimization control module adopts a model predictive control MPC framework, the lowest comprehensive operation cost is taken as an objective, a dynamic virtual carbon penalty coefficient beta can be dynamically adjusted according to a workshop production plan, an advanced control instruction is generated through rolling optimization, and the equipment power and the fan frequency are adjusted; according to the method, ultra-early prediction, prospective control, energy conservation and consumption reduction of VOCs treatment are realized.

The invention relates to a network construction type STATCOM (static synchronous compensator) analysis model based on DC capacitance dynamics, and belongs to the technical field of power distribution networks. The invention aims to realize the simulation of the synchronization characteristic of a synchronous machine by utilizing the similarity between the dynamic state of the direct current capacitor and the dynamic state of a generator rotor, namely a grid-building STATCOM analysis model based on the dynamic state of the direct current capacitor for the self-synchronous control of the direct current capacitor. The control structure of the internal frequency of the STATCOM on the direct current voltage is adjusted, a voltage equation under a synchronous coordinate system is deduced according to the superposition theorem and a topological graph, and the equivalent synchronous machine is obtained according to the equivalent principle, so that an equivalent rotor motion equation of the equivalent synchronous machine is obtained. According to the control mode, the internal frequency of the equipment can be adjusted to realize synchronization with the power grid, and stable operation of the direct-current side is ensured by controlling the direct-current voltage.

This invention provides a fan wall, belonging to the technical field of air conditioning equipment, including a mounting frame, multiple axial flow fans, multiple air supply duct assemblies, and multiple drive devices. Each axial flow fan has four air supply duct assemblies on its outer side. Each air supply duct assembly includes two horizontally arranged ducts. Each drive device drives the outlet of one duct to move obliquely upwards away from the other duct to the rear side of the corresponding axial flow fan, and obliquely downwards away from the other duct to the rear side of the corresponding axial flow fan. The air supply duct assemblies generate and transport high-speed airflow, which is ejected from the outlet of the duct, improving the uniformity of airflow and air circulation speed of the fan wall. When an axial flow fan malfunctions, the drive device drives the outlet of the corresponding duct to move and deflect, blowing high-speed airflow towards the inlet of that axial flow fan. The high-speed airflow is blown out from the outlet of the axial flow fan along the fan's duct, preventing the formation of backflow at the stopped axial flow fan.

The invention discloses an active power distribution network voltage optimization method considering distributed photovoltaic cluster characteristics, and the method comprises the steps: giving the initial operation data of a power distribution network, and carrying out the cluster division according to the initial operation data; according to a cluster division result, determining a self-discipline optimization objective function of each cluster according to the characteristics of each cluster, and if no reactive power regulation equipment and energy storage exist in the cluster, selecting the minimum voltage deviation as the self-discipline optimization objective function of the cluster; if reactive power regulation equipment or energy storage exists in the cluster, selecting the lowest network loss as a cluster self-discipline optimization objective function; and independently carrying out cluster self-discipline optimization on each cluster according to the respective objective function. According to the method, through two links of cluster self-discipline optimization and inter-cluster coordination optimization, different objective functions are adopted for optimization according to different cluster characteristics, and the safety, economy and flexibility of the whole network are improved.

The utility model relates to the technical field of air conditioning equipment, and discloses anti-blocking refrigeration air conditioning equipment which comprises an air conditioner outdoor unit shell, a fan is installed in the air conditioner outdoor unit shell, a filter frame is arranged on the front face of the air conditioner outdoor unit shell, and a filter screen is installed on the surface of the filter frame. The first motor is arranged on the right side of the front face of the air conditioner outdoor unit shell, a rotor of the first motor is coaxially provided with a first guide rod, and the surface of the first guide rod is rotationally connected with a mounting frame; the additionally-arranged first motor can drive the mounting frame to ascend and descend, the additionally-arranged second motor can drive the cleaning brush to clean dust adsorbed on the surface of the filter screen, the ventilation position of the air conditioner outdoor unit is prevented from being blocked, and the additionally-arranged third motor can drive the mounting plate to ascend and descend and can drive the baffle to be aligned with the mounting frame. The air cylinder is started to drive the baffle to be in close contact with the surface of the filter screen, so that cleaned dust cannot enter the air conditioner outdoor unit.

The invention discloses an environment adjusting system and method for a precast beam, computer equipment and a medium. The environment adjusting system and method are used for solving the problems of low adjusting efficiency and poor effect. The system comprises an environment monitoring device, a data model device, an analysis processing device and an environment adjusting device, the environment monitoring device and the environment adjusting device are arranged around a precast beam, and the environment monitoring device is used for periodically obtaining environment information around the precast beam. The data model equipment is used for establishing a building information model of the precast beam according to the parameter information of the precast beam, the analysis processing equipment is used for determining an environment adjusting instruction of the precast beam based on the environment information and the building information model, and the environment adjusting equipment is used for adjusting the environment around the precast beam according to the adjusting instruction. Therefore, the environment requirements are met. The environment where the precast beam is located is automatically and accurately adjusted by collecting the field environment information and combining the building information model for analysis, higher efficiency and intelligence are achieved, the labor cost is saved, and the maintenance effect of the precast beam is improved.

The invention provides a power supply regulating device and a voltage-adjustable power supply circuit thereof, and relates to the technical field of power supply regulation, the circuit is additionally provided with a sampling resistor, an operational amplifier unit and an MCU on the basis of keeping the original sampling partial voltage, and adjustable analog level output by the MCU is injected into a DC-DC feedback pin after being subjected to operational amplifier gain, so that the voltage-adjustable power supply circuit is formed. The potential of a feedback node is biased in a voltage superposition mode, so that the output voltage and the analog level are in an approximately linear relation; according to the invention, higher resolution adjustment can be obtained in a preset full range only by changing the DAC level or the PWM duty ratio, the gear intervals are uniform, digital potentiometers or segmented switching are not needed, the calculation is simple, the hardware cost is low, and the control is convenient. The high-precision power supply can be widely applied to occasions requiring a software controllable high-precision power supply, such as a thermal printing head test fixture, ink-jet head ink quantity control, motor torque adjustment and the like. The invention aims to solve the problems that the resolution of a low-voltage section is suddenly reduced and the fineness is insufficient due to resistance-voltage nonlinearity during wide-range voltage regulation of a traditional digital potentiometer type DC-DC feedback network.

The present application discloses an air conditioning device and an automatic control method therefor, and a computer storage medium. The automatic control method for an air conditioning device comprises: periodically acquiring the variation of the temperature difference between the ambient temperature in the workspace of an air conditioning device and a target temperature; determining a target fan speed of the air conditioning device at the current moment on the basis of the variation of the temperature difference; and controlling the air conditioning device to operate according to the target fan speed.

The invention discloses a multi-process energy consumption dynamic optimization control system for a precious metal processing production line, and relates to the technical field of precious metal processing, and the system comprises a data collection module which is used for collecting energy consumption data, process parameters and material flow data of equipment in real time; the optimization decision module comprises an energy consumption modeling unit and a dynamic optimization unit; the energy consumption modeling unit is used for establishing an energy consumption digital twin model for key equipment on a production line; the dynamic optimization unit is used for receiving and calculating a current optimal process parameter set value and an optimization instruction for adjusting the operation power and rhythm of equipment; and the driving execution module is used for realizing collaborative energy consumption optimization control of multiple processes. The method has the advantages that accurate energy consumption perception is achieved by constructing the energy consumption digital twinborn model, meanwhile, order merging is intelligently decided based on the material flow state and the order delivery time, and double optimization of overall energy efficiency improvement of the production line and comprehensive energy consumption cost is achieved.

The invention relates to the technical field of air conditioning, and discloses distributed suspension air conditioning equipment. When air needs to be conveyed and adjusted at a fixed point, after the first processor and the second processor are moved to the corresponding positions respectively, the first processor extracts and processes the air and then directly sends the air into the second processor, and the second processor exhausts the air conveyed by the first processor, so that fixed-point air adjustment is formed; therefore, fixed-point adjustment of indoor air is completed through adjustability of the air treatment position, inconvenience caused by fixed arrangement of a central air conditioner is replaced, the use cost of air conditioning equipment is reduced, meanwhile, the adjustability of the air treatment position is utilized to adapt to various types of indoor environments, the influence of the indoor environments on the equipment is reduced, and the service life of the equipment is prolonged. And the applicability of the equipment is improved.

The invention relates to the technical field of USB audio equipment optimization, and discloses a USB audio equipment Device mode implementation method and system, a storage medium and equipment, and the method comprises the steps: dynamically recognizing a connection type through detecting a USB data line voltage threshold value, and dynamically loading a corresponding protocol stack module based on the connection type; in a Device mode, a multi-stage buffer mechanism is adopted to manage audio data streams, the number and size of buffer areas are dynamically allocated according to target delay time, and clock synchronization with a host is realized based on an adaptive clock recovery algorithm; the power consumption of the equipment is dynamically adjusted through a multi-stage power consumption state machine, switching is carried out among working states according to an audio activity state and a data transmission requirement, and a remote wakeup function is supported; according to the method, a compatibility strategy library is matched based on a device fingerprint recognition result, protocol characteristics and audio formats of different host devices are automatically adapted, meanwhile, audio playing is controlled through audio quality monitoring and self-optimization, and Device mode support is added to the USB audio device through the method.