844 results about "Conditioning equipment" patented technology

The invention relates to the technical field of building energy consumption management, in particular to a building energy consumption management system and method for analyzing the load of a power grid, and the system comprises an acquisition processing unit, a load analysis unit and an energy management unit. A load prediction module of the load analysis unit predicts a load by using a long short-term memory network and a graph convolutional neural network, a decomposition traceability module decomposes a traceability load by using an attention mechanism and a hidden Markov model, and an energy management unit regulates and controls adjustable equipment in peak and valley periods according to load prediction. According to the method and the system, the abnormal energy consumption equipment is pre-warned according to the load decomposition and traceability result, multiple technical means are integrated, the traceability load can be accurately predicted and decomposed, the energy management is optimized, the complex building environment is adapted, and the problems that the equipment relationship is difficult to grasp, the load change reason is difficult to track and the energy consumption is difficult to accurately manage in a traditional mode are effectively solved.

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 relates to the field of household kitchens, and discloses a power plant pneumatic ash conveying pipeline abrasion reduction and energy consumption optimization method based on real-time monitoring, which comprises the following steps: S1, arranging a sensor group at a node of an ash conveying pipeline; s2, preprocessing the sensor data through a data processing system; s3, constructing a wear prediction model based on the preprocessed data; s4, based on the pipeline abrasion trend, the airflow speed and pressure are dynamically adjusted; s5, adjusting the equipment power according to the influence of the speed and pressure of the adjusted airflow on the sensor data; s6, feeding back the data of each step to a control system; and S7, establishing a pipeline three-dimensional model. Through real-time collection of pipeline operation state data, data processing and a wear prediction model, the airflow speed and pressure are dynamically adjusted, and the equipment power is adaptively adjusted according to the change of the airflow, so that the wear of the pipeline can be obviously slowed down while the conveying efficiency is kept, and the service life of the pipeline is prolonged.

The invention relates to an air conditioner dynamic optimization method and system based on deep learning, and belongs to the technical field of air conditioner intelligent control. The method comprises the steps of obtaining air conditioner operation data, constructing an air conditioner operation data set through air conditioner data preprocessing according to the air conditioner operation data, and obtaining an air conditioner user preference model through multi-layer perceptron training and testing according to the air conditioner operation data set, according to the air conditioner user preference model, an air conditioner user preference DQN model is constructed through an initialized DQN; environment sensor data are collected in real time, a user air conditioner optimal control strategy is output through the air conditioner user preference DQN model according to the environment sensor data, and air conditioner equipment is regulated and controlled in real time through an air conditioner control system according to the user air conditioner optimal control strategy. Therefore, the air conditioner parameters are dynamically optimized based on the user comfort level and the energy-saving target.

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 control method and system for a building HVAC system, and the system comprises an information monitoring unit, a core processing unit, a scheme design unit, a real-time regulation and control unit and an early warning management unit. Therefore, the building environment quality of the space area is evaluated in a targeted mode, HVAC linkage control over the local regulation and control area range is carried out in combination with the geographic coordinates of the space area, an air regulation and control management scheme and an equipment management signal are output, real-time regulation and control over the building environment are carried out, and air interaction from a key monitoring area as the center to an associated area is achieved. Through local linkage control, the HVAC regulation and control precision is improved, the energy consumption of air conditioning equipment is reduced, the continuous stability of the building environment quality is guaranteed by predicting and evaluating the building environment quality of a space area, and therefore the comfort level of the working and living states of users in a building is 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 discloses an active-reactive collaborative optimization scheduling method and system for a power distribution network containing high-proportion distributed photovoltaic, and a storage medium. The method comprises the following steps: S1, constructing a constraint model of a network power flow constraint condition of a power distribution network, a substation side reactive voltage regulation equipment operation constraint condition and a feeder side active and reactive regulation equipment operation constraint condition; s2, constructing an objective function of power distribution network optimization regulation and control of calculation formula weighted combination of a plurality of optimization objectives; s3, constructing an optimal scheduling model, wherein the optimal scheduling model takes the constraint model constructed in the step S1 as a constraint condition to solve a minimum value of the target function constructed in the step S2; s4, processing a non-convex constraint condition and a target function containing an absolute value in the optimal scheduling model, converting the optimal scheduling model into a mixed integer second-order cone programming model, and solving the mixed integer second-order cone programming model; according to the method, various active and reactive power regulation devices in the power distribution network can be accurately and effectively coordinated, optimized and dispatched according to a plurality of optimization targets.

The invention provides a personalized settlement method, system and device, and relates to the technical field of information, and the method comprises the steps: training and generating a power utilization optimization model through combining a user power utilization behavior portrait, a device adjustable space, an unadjustable device power supply scheme and an electricity price adjustment scheme; determining an optimal equipment power utilization scheduling scheme and a differentiated electricity price adjustment strategy under different power utilization time periods by utilizing the power utilization optimization model and aiming at the adjustable equipment of each user, and generating a personalized power utilization plan; real-time power grid load data is continuously monitored, when the load data exceeds a load threshold value, personalized power utilization plan dynamic optimization is triggered, and according to the optimized personalized power utilization plan, differentiated electricity price adjustment and equipment power utilization scheduling are executed on each adjustable device. Personalized requirements of users are met, the load of the power grid is effectively balanced, and fine management and optimization of power utilization of the smart home are realized.

The invention relates to a power quality adjustment resource capability dynamic evaluation method and system based on adaptive federated learning and voltage out-of-limit, electronic equipment and a computer storage medium, and the method comprises the steps: building a power quality adjustment capability evaluation model of adjustable resources, and monitoring the voltage and current changes of the adjustable equipment in real time, providing an evaluation index of the adjustable resource electric energy quality adjustment capability according to the active power output, the reactive power output, the voltage and the current change condition of the adjustable resource, and evaluating the active / reactive power adjustment capability of the adjustable resource according to the evaluation index; the original data, the curve and the evaluation result are analyzed and trained by using adaptive federated learning and a convolutional neural network, and the trained model can dynamically and quickly analyze the active and reactive adjustment performance of the adjustable resources. According to the invention, the problem of active and reactive power regulation operation capability evaluation of the power grid adjustable device is solved, and auxiliary tools and convenient means are provided for power grid dispatching operation.

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 embodiment of the invention provides a video monitoring transmission method and device based on dual-channel communication and selective encryption, and the method and device achieve the efficient transmission of data through building two independent channels, namely, a video data transmission channel and a control signaling channel. A device unique identifier and a key management mechanism based on a hardware security module are innovatively adopted, key frames in a video stream are selectively encrypted, and only a direct current coefficient representing overall brightness and an alternating current coefficient of detail information are encrypted and protected. Meanwhile, an intelligent load monitoring and sleep awakening mechanism is introduced, and the working state of the equipment is dynamically adjusted based on a video watching request, image change and a human body induction signal. According to the method, the system energy efficiency is remarkably improved while the data security is guaranteed, and a reliable technical scheme is provided for the field of video monitoring.

Retrofit kit (1) for an existing central heating system (2), wherein the central heating system (2) comprises at least one primary heat source (3) operable by means of fuels, in particular a boiler and / or a gas boiler, at least one heat exchanger (4), preferably a radiator for heating a building, and at least one domestic hot water storage tank (5), wherein a heat transfer fluid (6), in particular water, can be heated by means of the primary heat source (3), wherein the heat transfer fluid (6) can be conveyed to and / or through the heat exchanger (4) by means of a heat pump (7), and wherein the heat transfer fluid (6) can be conveyed to the domestic hot water storage tank (5) for heating domestic hot water (9) temporarily stored in the domestic hot water storage tank (5), namely for heat transfer from the heat transfer fluid (6) to the domestic hot water (9) through or adjacent to the domestic hot water storage tank (5),wherein the primary heat source (3) has a central heating control and / or regulation device (10) for its control and / or regulation, wherein the retrofit kit (1) and / or the central heating system (2) has at least one electrically operated heat pump (11), wherein the heat transfer fluid (6) can be heated by means of the heat pump (11), wherein the heat transfer fluid (6) can be conveyed to and / or through the heat pump (11) for its heating, and wherein the heat transfer fluid (6) can be conveyed to and / or through the primary heat source (3) by means of the heating pump (7) and / or the storage pump (8), characterized in that the retrofit kit (1) has a temperature sensor (13.1) and a separate heat pump control and / or regulation device (14) for the heat pump (11), wherein the temperature sensor (13.1) is connected to the separate heat pump control and / or regulation device (14) for control / is connected or connectable via signal and / or data technology,wherein the heat pump (11) is connected and / or connectable to the separate heat pump control and / or regulation device (14) for control purposes, wherein the separate heat pump control and / or regulation device (14) is designed and / or implemented such that the heat pump (11) is controlled based on the actual domestic hot water temperature (T) measured by means of the temperature sensor (13.1) in a lower area of ​​the domestic hot water storage tank (5) or adjacent to this lower area of ​​the domestic hot water storage tank (5). B1 ) is controllable and / or adjustable, wherein the temperature sensor (13.1) is used as a first temperature sensor (13.1) for determining a first actual domestic hot water temperature (T B1 ) is implemented, wherein a second temperature sensor (13.2) is located in a vertically viewed middle or upper area of ​​the domestic hot water storage tank (5) for measuring and / or determining a second actual domestic hot water temperature (T B2) is arranged, wherein the second temperature sensor (13.2) is connected to the central heating control and / or regulating device (10) in a control / signal / and / or data-related manner, wherein the central heating control and / or regulating device (10) is designed and / or implemented such that the primary heat source (3) is adjusted depending on the second actual domestic hot water temperature (T B2 ) is controllable and / or adjustable, wherein the separate heat pump control and / or regulation device (14) is designed and / or implemented such that the heat pump (11) can be operated and / or activated for heating the heat transfer fluid (6) with the aid of the separate heat pump control and / or regulation device (14) when the first actual domestic hot water temperature (T) measured, determined and / or calculated with the aid of the first temperature sensor (13.1) B1 ) a first limiting temperature (T B1G ) falls below.

The invention provides a method for adjusting equipment performance and terminal equipment, and relates to the technical field of terminals.The method comprises the steps that an input event for the terminal equipment is obtained, first energy efficiency corresponding to the input event is determined, and the energy efficiency ratio of a processor in the terminal equipment is adjusted to the first energy efficiency ratio. According to the technical scheme provided by the invention, various input events can be identified more accurately, and the performance of the processor can be adjusted for each input event, so that the instantaneous scene of user operation is fully identified, and the user experience is improved.

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 present invention relates to an electric downtilt angle adjustment apparatus and a base station antenna. The apparatus comprises a position selection transmission assembly and a phase shift assembly. The position selection transmission assembly comprises a support frame, a moving switching mechanism, a transmission gear, and a second guide shaft. The second guide shaft is mounted on the support frame, and multiple transmission intermediate wheels are mounted on the second guide shaft at intervals, the transmission gear being configured to drive the transmission intermediate wheels to rotate. The moving switching mechanism is mounted on the support frame. A driving member is disposed on the moving switching mechanism. The phase shift assembly comprises multiple driven members. The apparatus has the advantages of having a simple structure, being convenient to manufacture, low in cost, and light weight, having a small size, and having reliable quality.

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 embodiment of the invention discloses a planning method of a reactive power compensation device of a power distribution network and related equipment. According to the embodiment of the invention, load curves of different types of loads in a transformer area can represent characteristics of large-difference seasonal loads; the built bilevel planning model comprehensively considers energy storage, reactive power compensation device, inverter reactive power regulation capability and traditional reactive power compensation performance; according to the optimal installation position and the optimal capacity of the reactive power compensation device obtained based on the load curves of different types of loads in the transformer area and the bilevel programming model, the problem of voltage out-of-limit of the 10kV transformer area caused by large-scale distributed photovoltaic access and seasonal load distribution can be solved, and the photovoltaic light abandoning rate is reduced; coordinated operation of flexible adjustment equipment of a 10kV system is realized, and the difficulty of considering reliability and economical efficiency of a planning scheme is reduced.

1. The name of the product under this design: air conditioner. 2. Purpose of this design product: This design product is used for an air conditioning device. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the key points of the design: 3D drawing of Design 1. 5. Designate Design 1 as the base design.