485results about How to "Realize energy saving" patented technology

The invention belongs to the field of energy efficiency optimization in industrial production, and discloses a dynamic energy efficiency optimization method and system based on artificial intelligence and machine learning, and the method comprises the steps: collecting energy consumption data and environment parameters in real time through a sensor network and Internet of Things equipment; cleaning, screening and standardizing the collected data; constructing an energy efficiency prediction model and an optimization model based on a machine learning algorithm; training the prediction model and the optimization model by using historical data, and adjusting model parameters; and the trained model is utilized to analyze and predict data acquired in real time, and production parameters are dynamically adjusted to realize optimization of energy efficiency. According to the method, key parameter changes in the production process can be accurately predicted and optimized, dynamic adjustment of production parameters is achieved, an optimal production adjustment strategy can be automatically made, scientificity and efficiency of production decision making are improved, and the method has remarkable technical and economic effects in the field of industrial production.

The invention discloses a multi-target intelligent optimization air conditioner control method and system based on multi-dimensional machine learning, and aims to acquire outdoor environment data by acquiring personnel flow and environment data inside and outside a building in real time and combining weather forecast information and the like, and predict future personnel flow trend and environment change conditions by utilizing a machine learning algorithm, so as to realize intelligent optimization of the air conditioner. And data support is provided for an artificial intelligence control strategy of the air conditioning system. Based on the prediction results, a multi-target optimization control algorithm is used for conducting multi-dimensional parameter regression on the air conditioner operation effect, and operation parameters such as the temperature, the humidity and the wind speed of the air conditioner system are dynamically adjusted. The air conditioning system is suitable for various large buildings such as office buildings, shopping malls and airports, the energy utilization efficiency of the air conditioning system is remarkably improved and the energy consumption is greatly reduced on the premise that the indoor environment comfort is ensured, and the air conditioning system has remarkable energy-saving and carbon-reducing effects, wide application prospects and remarkable economic and environmental protection benefits.

The invention discloses an electric power and electric quantity balancing method and system, and relates to the technical field of electric power management. S2, demand prediction; s3, evaluating the power supply capability; s4, carrying out resource optimization configuration; s5, integrating renewable energy sources; s6, demand side management; s7, performing real-time monitoring and adjustment; and S8, performing performance evaluation and feedback, and constructing an electric power and electric quantity balance system based on the method. According to the electric power and electric quantity balancing method and system, the accuracy and efficiency of electric power and electric quantity balancing can be remarkably improved, various electric power demand changes can be effectively handled, and stable operation of a power grid is ensured. Meanwhile, by dynamically adjusting access and demand side management of renewable energy sources, the purposes of maximum utilization of energy sources, energy conservation and emission reduction are achieved. Finally, through regular performance evaluation and feedback, the system performance is continuously optimized, a closed-loop optimization process is formed, and powerful support is provided for sustainable development of a power system.

The invention provides an energy-saving navigation method and system for a combined fleet under intelligent control, and relates to the technical field of data processing, and the method comprises the steps: collecting environment data and ship state data of fleet navigation in real time, carrying out the preprocessing, removing redundant data, obtaining a navigation data set, and obtaining a navigation data set according to the navigation data set; calculating a channel influence value, a sea condition influence value and a wake flow influence value, determining a resistance influence value of each ship according to the values, calculating the required power of each ship, obtaining a required power data set, calculating the compensation power of each ship, analyzing the limitation of the channel on the compensation power of the ships, balancing the distribution of the compensation power among the ships, and obtaining an energy-saving scheme. And the compensation power of each ship is adjusted in real time, the navigation efficiency of the fleet is monitored, execution data are obtained, whether the navigation efficiency reaches preset efficiency or not is analyzed, the resistance influence value of each ship is updated, and a power distribution scheme is adjusted. The propulsive power of the fleet can be intelligently controlled, and energy consumption is saved.

The invention relates to the technical field of energy efficiency optimization, and discloses a lamp energy efficiency optimization method based on artificial intelligence, and the method comprises the steps: data collection: carrying out the all-around and multi-dimensional data collection of an environment where a lamp is located through a plurality of sensors. According to the lamp energy efficiency optimization method based on artificial intelligence, in order to make energy utilization efficient, the multi-dimensional environment and lamp operation data are obtained through the data acquisition step, optimization is carried out in combination with the adaptive learning algorithm, lamp energy efficiency control parameters can be adjusted in real time according to different environments, places, time periods and other situations, and the energy efficiency optimization efficiency is improved. The lamp can be kept in the optimal energy efficiency state in various complex and changeable environments, the energy utilization efficiency of the lamp is effectively improved, energy waste is reduced, in the scene-based energy efficiency optimization link, for different application scenes, differentiation strategies are implemented according to respective typical lighting requirements and energy-saving potentials, parameters such as lamp brightness are accurately adjusted, and the energy efficiency of the lamp is improved. And the energy utilization efficiency of the lamp in various scenes is improved.

A method and apparatus for wireless communication are provided. The method comprises the following steps: the terminal equipment determines configuration information of a first resource; the terminal device sends a first request on the first resource; wherein the configuration information of the first resource is carried in a main information block, and the first request is used for requesting a first SIB.

The invention provides a wireless communication method, terminal equipment and network equipment. The method comprises: a terminal device receiving first information sent by a network device, the first information indicating a plurality of period configurations for receiving a synchronization signal broadcast channel block (SSB); according to the embodiment of the invention, the plurality of periods for SSB transmission are configured for the terminal equipment through the first information, so that the SSB transmission is more flexible, and energy conservation can be realized under the condition that the SSB performance is not influenced.

The invention belongs to the technical field of isothermal extrusion parameter optimization, and particularly relates to an isothermal extrusion energy consumption optimization method based on a particle swarm optimization algorithm, which comprises the following steps: S1, constructing an extrusion energy consumption model of a profile to obtain a process parameter combination strongly associated with processing energy consumption; s2, carrying out extrusion forming process simulation on the basis of the strong-correlation process parameter combination to obtain machining simulation data; s3, the machining simulation data are used for training the machining prediction model, and the incidence relation between the machining parameters and the energy consumption and profile quality indexes is obtained; s4, based on the trained prediction model, performing multi-objective optimization solution to obtain optimized processing parameters; the targets of the multi-target optimization comprise the lowest energy consumption and the satisfaction of the quality index standard; and S5, the machining parameters obtained in the step S4 are used for conducting actual isothermal extrusion machining on the profile. According to the method, reasonable process parameters can be obtained, the energy consumption in the isothermal extrusion machining process is effectively optimized, and meanwhile the product quality can be collaboratively optimized.

The invention discloses an intelligent sewage treatment system and method based on data analysis, and belongs to the technical field of sewage treatment.The intelligent sewage treatment system comprises a sewage treatment equipment monitoring module for obtaining associated data generated by sewage equipment in the sewage treatment process; the sewage monitoring module is used for acquiring water quality parameters in the sewage treatment process; the data processing terminal is used for generating a sewage treatment condition value according to the acquired associated data and the water quality parameters, so that the sewage treatment equipment is correspondingly optimized and adjusted. According to the method, the data generated in the working process of the sewage treatment equipment and the water quality parameters of the sewage in the sewage treatment process are obtained and comprehensively analyzed to generate the sewage treatment condition value, and whether the currently set parameters of the sewage treatment equipment are qualified or not is judged according to the sewage treatment condition value; and if the sewage is unqualified, a corresponding optimization adjustment strategy is generated to carry out corresponding optimization treatment, so that the sewage treatment efficiency can be ensured and the operation cost can be effectively saved during sewage treatment.

The invention provides a wireless communication method, terminal equipment and network equipment. The method comprises the following steps: the terminal equipment receives first configuration information, wherein the first configuration information is related to a trigger request of a target SIB1; the terminal equipment sends a first request to network equipment, wherein the first request is used for requesting the target SIB1; the terminal equipment receives the target SIB1 sent by the network equipment; wherein the first configuration information is used for indicating a first lead code related to the first request and / or a transmission resource of the target SIB1.

The invention discloses a wind-solar power generation and electric vehicle load cooperative control method based on user behaviors, and relates to the technical field of electric power system automation, and the method comprises the steps: obtaining historical power generation and real-time power generation data of a wind-solar power generation system according to an electric vehicle power load demand curve in a future time period, predicting a generating capacity curve of the wind-solar power generation system in the time period; performing matching analysis on the electric load demand curve of the electric vehicle and the wind-solar power generation curve to obtain a matching difference degree, and triggering cooperative control when the matching difference degree is greater than a preset threshold value; in the cooperative control, the generated power of the wind-solar power generation system and the actual power load of the electric vehicle are monitored in real time, the matching difference degree is calculated, and the generated power of the wind-solar power generation system is dynamically adjusted according to the change trend of the matching difference degree. The running cost of the electric vehicle is reduced, the utilization efficiency of wind and light power generation is improved, the energy utilization efficiency and the renewable energy permeability of the rail transit system are improved, and the purposes of energy conservation, emission reduction and green development are achieved.

The invention relates to the technical field of remote controller awakening, and discloses a remote controller awakening method, device and equipment and a storage medium, and the method comprises the steps: carrying out the multi-cascade coding processing of a key signal of a remote controller, obtaining the multi-cascade coding data, and generating a session key; performing adaptive carrier modulation to obtain a dynamic modulation signal; performing multi-band emission control processing and adaptive power control to obtain an emission control signal; performing low power consumption management on the remote controller system, creating a multi-stage dormancy strategy and a dynamic power consumption control scheme, and controlling the signal processor to receive the multiband optical signal; performing parallel processing and adaptive decoding on the multi-band optical signal to obtain decoded multi-cascade coded data; and based on the session key, performing multi-factor identity verification processing on the decoded multi-cascade coded data to obtain a secure wake-up instruction, thereby improving the reliability and security of wake-up, optimizing the power consumption management strategy, and enhancing the signal processing capability.

The invention relates to the technical field of tunnel lighting adjustment, and discloses a high-efficiency energy-saving tunnel lighting system capable of relieving a black and white hole effect, which utilizes a dimming module outside a tunnel hole to adjust the variation amplitude of illumination intensity outside and inside the tunnel and implements a photovoltaic power generation process by means of illumination. Therefore, the visual transition process of a driver from strong light to weak light at a tunnel portal is realized, and photovoltaic power generation is comprehensively utilized to reduce energy consumption. Besides, environment information inside and outside the tunnel is obtained regularly through the tunnel environment sensing module, the environment information is transmitted to the intelligent dimming module, the intelligent dimming module intelligently analyzes the tunnel light environment under the visual comfort condition of the driver according to the environment information, and the lighting condition with the visual comfort is calculated. And the illumination intensity and the color temperature index in the tunnel are dynamically adjusted, so that the technical effect of intelligently adjusting the illumination environment in the tunnel is achieved, and the passage process of the tunnel is safer and more comfortable.

The invention discloses a power battery mounting structure in the field of power battery systems. The power battery mounting structure comprises a frame assembly and a plurality of frame assemblies, the frame assemblies are fixed to the two sides of the frame assembly, a frame supporting component assembly is arranged between every two adjacent frame assemblies, every two opposite frame assemblies are connected through a supporting component, and the frame supporting component assemblies reduce stress loads borne by the frame assembly. A mounting area for fixing a power battery is arranged in each frame assembly, and the mounting area can be changed according to the volume of the power battery for multi-stage adjustment; a traditional battery installation mode is changed into a chassis side arrangement mode, it is guaranteed that the gravity center of the whole vehicle body does not shift, the gravity center lowering effect is achieved, the space on the two sides of the vehicle frame assembly is utilized, the size occupied by battery installation is reduced, and matching of different electric quantity requirements of the whole vehicle is achieved; the structural design of reducing cost and weight is carried out on the premise of meeting the strength requirements of typical extreme working conditions.

The invention relates to the technical field of sensing data analysis, in particular to a situation sensing method and system based on an intelligent fan. The method comprises the following steps: obtaining human shape position change data of an intelligent fan user and human shape motion posture change data of the intelligent fan user, carrying out human shape motion interframe change identification analysis and Kalman filtering human shape tracking, and carrying out human shape motion range analysis at the same time; the dynamic change range of the human shape motion of the intelligent fan user is obtained; the intelligent sensing range of the intelligent fan is obtained, situation awareness cross judgment is carried out on the human shape motion dynamic change range of an intelligent fan user, and when it is determined that the intelligent fan user is in a close or away sensing state, a wind speed acceleration or deceleration control instruction is generated through response of the intelligent fan and acts on a built-in control system of the intelligent fan. The corresponding intelligent fan air speed automatic acceleration or deceleration work is executed; the method can focus on recognition and tracking of the whole human shape, and aims at optimizing the sensing state of the intelligent fan.

The concentrated light source optical fiber distributed lighting system comprises a concentrated light source module, an optical fiber transmission unit and a lighting terminal, and the concentrated light source module is integrated with a control unit; the optical fiber transmission unit is connected with the concentrated light source module and the lighting terminal; the concentrated light source module comprises a light source, an optical fiber coupler and a cooling fan. A use method of the concentrated light source optical fiber distributed illumination system comprises the following steps that S1, illumination intensity is input into an MCU through a human-computer interface, light is transmitted to an illumination terminal through an optical fiber transmission unit, and the illumination terminal scatters the light and projects the light to an illumination place; s2, the temperature sensor extracts a laser / LED module temperature signal and sends the laser / LED module temperature signal to the MCU; s3, the fan driving power supply judges whether to supply power to the cooling fan or not according to the signal of the MCU, and the cooling fan cools the concentrated light source module; and S4, the illuminance sensor collects the illuminance of the illumination target place and feeds back the illuminance to the MCU, and the laser / LED module is driven to emit light with the corresponding intensity.

The invention discloses an elevator no-load energy recovery energy-saving damping device, and belongs to the technical field of elevator energy saving and damping, the elevator no-load energy recovery energy-saving damping device comprises a main body frame assembly, an elevator car structure and a self-adaptive adjusting mechanism, the elevator car structure is arranged in the main body frame assembly, and the self-adaptive adjusting mechanism is arranged on the main body frame assembly. Through the arrangement of the main body frame assembly, the elevator car structure and the self-adaptive adjusting mechanism, friction force borne by an elevator in the running process is effectively reduced, it is guaranteed that the elevator is stable in the running process, and meanwhile the service life of the elevator is prolonged. A frequency converter, a regenerated energy detection device, an energy feedback device, a super capacitor and other existing devices on the market at present can be additionally arranged at the position of a power source of the elevator, redundant energy generated when the elevator is unloaded is recycled, converted and stored, energy waste is avoided, energy saving is effectively achieved, and the cost is reduced. The problems that an elevator used in the market at present can cause energy waste during no-load operation and can generate vibration during operation are effectively solved.

The invention relates to high-performance low-cost microalloyed steel for an automobile I-shaped axle and a preparation method of the microalloyed steel, and belongs to the technical field of materials. The steel comprises the following chemical components in percentage by weight: 0.35%-0.50% of C, 0.50%-0.60% of Mn, 0.1%-0.5% of Si, 0.65%-0.85% of Cr, 0.01%-0.10% of Ti, 0.03%-0.04% of Mo, Plt and the balance of Fe and inevitable impurities. 0.01%, Slt; 0.01%, Olt; 0.0040%, Nlt; 0.0050%, and the balance being iron. Heat treatment is directly carried out after casting, and by adopting the component control, dispersion precipitation of nano-sized TiC on an original austenite grain boundary is promoted, austenite grains are effectively pinned, and a microstructure with uniform and fine grain size is obtained; a martensite structure is obtained through quenching, uniform dispersion and precipitation of TiC carbides are achieved in the martensite structure through a subsequent tempering process, and it is guaranteed that the mechanical strength and toughness of the automobile I-shaped axle are optimally matched.

The invention discloses a 3D visual energy consumption management method. The method comprises the following steps: (1) constructing an Internet of Things platform and installing a sensor; (2) creating a 3D model; (3) data integration and processing: according to actual display requirements of the 3D model, associating the acquired energy consumption data and environmental data with the 3D model by adopting a color coding method, a height change method, a label and chart method, an animation display method and a symbol and icon method; corresponding energy consumption data and environment data are matched with corresponding areas, floors, rooms and devices in the 3D model, integration processing is carried out, energy consumption conditions of different areas, floors, rooms and devices are represented by color codes, height changes, charts, animations, symbols and icons, and the energy consumption conditions of the areas, floors, rooms and devices are stored on an Internet of Things platform; (4) a user requests visual display of a corresponding area according to needs; (5) data analysis and optimization; and (6) real-time monitoring and reporting.

The invention provides a reinforcing mesh truss integrated thermal insulation wall with a non-dismantling formwork and a manufacturing method of the reinforcing mesh truss integrated thermal insulation wall. The thermal insulation wall comprises a wall body framework, a thermal insulation inner core and a leaf wall, and the wall body framework comprises a wall body frame and the wall body non-dismantling formwork; the wall non-dismantling formwork comprises a non-dismantling steel formwork body, a reinforcing mesh and truss supporting components, the height of the truss supporting components is not smaller than 10 mm, the non-dismantling steel formwork body and the reinforcing mesh are connected into a whole through the truss supporting components, and the two side edges of the non-dismantling steel formwork body are fixed to a wall frame. The heat preservation inner core is arranged between the disassembly-free steel formworks which are oppositely arranged inwards, and the heat preservation inner core is made of non-combustible A-level heat preservation materials. The wall thermal insulation wall is high in waterproof thermal insulation, thermal insulation, sound insulation and fireproof performance, formwork erecting and dismantling are not needed in the manufacturing process, the existing building energy consumption and energy saving standard is met with low cost, the energy saving standard regulation requirements of different buildings in various places can be met by adding the correction layer, and the universality is high.

The invention belongs to the technical field of high-rise building illumination, and discloses a high-rise building illumination integrated design method based on a BIM technology, and the method comprises the steps: S1, building a high-rise building internal structure material reflectivity library, and building a high-rise building internal lamp database, the reflectivity database comprises reflectivity numerical values of a fixed building surface in a building and reflectivity numerical values of indoor movable equipment, the lamp database comprises brightness, color temperature and beam angle parameter values, and accurate simulation and optimization of illumination are realized by comprehensively considering building structure materials, lamp parameters and reflection and absorption of the movable equipment to light rays. According to the method, the uniformity of indoor illumination is remarkably improved, glare and shadow areas are reduced, and a more comfortable and harmonious visual environment is created for residents or users; the high-rise building illumination integrated design method based on the BIM technology has important significance and remarkable effects in the aspects of improving illumination quality, optimizing spatial layout, saving energy, reducing emission, promoting industry development and the like.

The invention discloses a pre-filter and a water consuming system, and relates to the technical field of pre-filters, the pre-filter comprises a filter bottle, a filter assembly, an outer framework and an impeller assembly, the filter bottle is provided with a water filtering cavity and a drain outlet communicated with the water filtering cavity; the filtering assembly is arranged in the water filtering cavity; the outer framework is provided with a siphon flow channel; the outer framework is sleeved with the filtering assembly and can rotate relative to the filtering assembly, the impeller assembly is arranged in the water filtering cavity, the outer framework is in transmission connection with the impeller body, and the installation base is provided with a first water inlet communicated with the siphon flow channel and a water drainage opening communicated with the sewage draining opening. The prefilter provided by the invention can more effectively utilize the power of water flow to automatically clean and filter, and reduces the dependence of external energy (such as electric power), thereby improving the energy efficiency and realizing energy conservation.

An intelligent control method, equipment and medium based on a flue gas desulfurization process belong to the technical field of dry and semi-dry desulfurization, solve the problem of how to improve the working condition adaptability of dry and semi-dry desulfurization processes, and comprise the following steps: a feedforward prediction step: based on historical operation data, predicting the theoretical addition amount of a desulfurizer through a feedforward prediction model; a feedback correction step: dynamically correcting the theoretical addition amount of the desulfurizing agent based on the real-time SO2 concentration deviation, obtaining the final addition amount of the final desulfurizing agent, executing the final addition amount, and performing secondary correction according to the execution result; a model iteration step: continuously optimizing the feedforward prediction model based on incremental data generated in a system operation process; according to the method, the deviation mode is analyzed by verifying the outlet SO2 concentration data in real time, secondary correction is executed, correction strategies are customized for various complex working conditions, the working condition adaptability of dry-method and semi-dry-method desulfurization processes is effectively improved, and accurate prediction and real-time control of the SO2 emission concentration are guaranteed.

The invention provides an oil field intelligent control system and method based on an AI algorithm and a storage medium, and belongs to the technical field of oil field intelligent control, the system comprises at least one intelligent control unit, and each intelligent control unit comprises a metering station used for collecting produced liquid produced by an oil well in a centralized mode and providing a hot water source; the plurality of oil wells are connected with the metering room; the hot water control piece is arranged on the oil well and used for controlling hot water and the amount of hot water entering the oil well; the first temperature acquisition unit is used for acquiring the temperature of inlet water entering the oil well; the second temperature acquisition unit is used for acquiring the temperature of the mixed liquid from the oil well; the comparison unit is used for comparing the oil well hot water inlet temperature with the preset inlet water temperature and comparing the mixed liquid temperature with the mixed liquid preset temperature; and when the water inlet temperature is lower than the preset water inlet temperature and the temperature of the mixed liquid is lower than the preset temperature of the mixed liquid, the master control unit controls the opening and the opening degree of the hot water control piece to supply water to the oil well.

The invention discloses a carbon emission prediction control method of a hotel central air-conditioning system and a related device, and relates to the technical field of carbon emission prediction control. Based on the hotel occupancy rate of each unit time in a historical time period and the operation duration of a variable frequency water pump, a simultaneous coefficient is calculated; and taking the hotel occupancy rate, weather data, holiday and festival signs and tourism light and peak season signs of each unit time in a historical time period as input, and determining the hotel occupancy rate of each unit time in a prediction time period by using a trained hotel occupancy rate prediction model. Based on the simultaneous coefficient and the hotel occupancy rate of each unit time in the prediction time period, the total operation duration of the variable frequency water pump in the prediction time period is calculated, a control instruction is sent based on the total operation duration of the variable frequency water pump in the prediction time period, and the control instruction is used for frequency modulation of the variable frequency water pump to achieve energy saving. Energy conservation and emission reduction of the central air conditioning system can be achieved.

The invention discloses an intelligent door lock system capable of issuing information in real time based on an ink screen, and belongs to the technical field of intelligent door locks, the intelligent door lock system comprises a main control module, a communication module and an ink screen module.The intelligent door lock system uses the ink screen technology, only consumes electric power during updating, obviously reduces energy consumption, and is high in practicability. Meanwhile, the real-time updating capability of information is kept, and energy conservation, emission reduction and long-term operation are realized; the ink screen provides a larger display area and a clearer visual effect, more types of information can be displayed, and the function of the door lock serving as an information transmission medium is enhanced; multiple information issuing mechanisms are supported, and the flexibility and the real-time performance of information issuing are greatly improved; according to the door lock, the intelligent response function is achieved, corresponding responses can be made according to different trigger events, more intelligent safety protection is provided, the door lock can actively provide services for a user instead of passively responding to operation of the user, and therefore the intelligent level and user experience of the door lock are improved.

The invention relates to the technical field of compressed air energy storage, in particular to an industrial waste heat coupling isothermal non-afterburning compressed air energy storage system which comprises an isothermal compression energy storage module, an isothermal compression heat recovery module, an industrial waste heat conversion module and an expansion power generation module. The isothermal compression energy storage module achieves multi-section compression of air and stores compressed air through electric energy in the valley period, and the isothermal compression heat recovery module is used for collecting compression heat generated by the isothermal compression energy storage module during multi-section compression of the air. The expansion power generation module receives the industrial waste heat stored by the industrial waste heat conversion module and is used for compressed gas expansion power generation; the isothermal compressor technology is adopted for compressing air, the compressed air energy storage efficiency is improved, the compression power consumption is reduced, meanwhile, industrial waste heat is fully utilized for heating the compressed air in the expansion stage, the problem that compression heat is insufficient in the isothermal compression process is solved, and the energy storage efficiency and the energy-saving effect are higher.

The invention relates to the technical field of intelligent control, and particularly discloses a multifunctional intelligent door and window sensing and regulating system which is used for solving the problems that a common electric door and window opening product on the market has a single function, especially has no function in the aspect of environment detection, and does not realize real intelligence. Environmental data are monitored in real time through the multi-sensor array integration unit, data processing and analysis are carried out in combination with the central processing unit, intelligent environmental adjustment is achieved, solar energy can be effectively utilized through the integrated design of the photovoltaic power generation glass window, the solar energy is converted into electric energy for system operation, dependence on traditional electric power is reduced, and energy conservation and environmental protection are achieved. And the intelligent linkage control center can formulate an optimal linkage control strategy according to real-time monitoring data and automatically control the operation of each unit.

The invention provides a photovoltaic energy storage air conditioning system and a power supply control method thereof. The power supply control method comprises the steps that the generating capacity W of a photovoltaic module, the stored electric quantity Z of an energy storage device and the total load demand electric quantity Q of a unit are obtained; when W is smaller than Q, according to the ratio of W / Q, the energy storage device is selected to supply power to a preset high-power load and a preset low-power load in the unit, or the photovoltaic module is selected to supply power to the preset low-power load in the unit; the photovoltaic technology is applied to the air conditioning unit, clean energy solar energy is used for supplying power, dependence on traditional energy is reduced, and energy consumption is remarkably reduced; and meanwhile, electric energy generated by the photovoltaic module is reasonably utilized, efficient operation of the air conditioning unit under different working conditions is ensured, and maximum use of the electric energy is achieved.

The invention relates to the technical field of safety management, and particularly discloses a safety management system based on face recognition, which is used for solving the problem of insufficient cooperative processing of air conditioner airflow safety management and air return and exhaust utilization during arsine leakage in existing clean room airflow management. Comprising a photoetching production module, an air treatment set, a return air adjustment module, an arsine detection sensor, a face recognition system, an exhaust fan, a fresh air handling unit, five air return and exhaust channels, four air supply channels and an air discharge and recovery channel. An air return and exhaust adjustment scheme and a safe area air supply scheme are provided when arsine leaks; personnel permissions of areas with different cleanliness levels are managed through the face recognition technology, air supply of safe areas is adjusted in real time, negative pressure and air exhaust are automatically adjusted when arsine leakage occurs, the fresh air and return air mixing proportion is dynamically adjusted based on the air age, and air conditioner energy consumption is reduced.