1536 results about "Temperature conditioning" patented technology

The invention provides an intelligent temperature adjusting method and system for an injection molding mold. The method comprises the steps that real-time multi-source sensor data flow is generated by collecting temperature data and pressure data of all areas of the injection molding mold; performing feature extraction on the real-time multi-source sensor data flow to obtain temperature field distribution features; a temperature field distribution prediction model is obtained through training based on the temperature field distribution characteristics and a differential private Bayesian optimization algorithm, and then a mold temperature prediction result is output through the model; performing feature fusion on the mold temperature prediction result and the pressure data, constructing input features of a neural network controller, training based on the input features and a positive definite curvature learning method to obtain the neural network controller, and generating a power control signal of a heater and a flow control instruction of a water cooling system through the neural network controller, and based on the control signal and the instruction, the temperature field of the mold is dynamically controlled through the adjustable clearance compensation mechanism. According to the invention, the precision and response speed of temperature adjustment are improved.

The invention relates to the technical field of industrial automation control, and discloses a high-precision and quick-response industrial thermostat temperature regulation system which comprises a temperature acquisition module, a fluctuation analysis module, a dynamic calibration module, a gradient optimization module, a threshold management module and a regulation execution module. The temperature acquisition module acquires real-time temperature and environment thermal inertia parameters, and sets a temperature adjustment interval; the fluctuation analysis module divides temperature nodes and generates fluctuation feature vectors; the dynamic calibration module extracts a temperature deviation index and establishes an adjustment compensation rule; the gradient optimization module identifies a temperature change grade and calculates a fluctuation density difference value; the threshold value management module deduces an optimal adjustment threshold value and generates a threshold value deviation sequence; and the adjustment execution module is integrated to form a temperature adjustment execution scheme. The system realizes deep analysis and dynamic compensation of temperature fluctuation through cooperation of multiple modules, improves the adjustment precision and the response speed, and is suitable for high-precision temperature control industrial scenes such as chemical engineering and mechanical manufacturing.

The invention provides an air conditioner personalized intelligent control method, system and device and a storage medium, and relates to the technical field of air conditioner control, the method comprises the following steps: combining first people flow data and historical people flow data of a target area within a first preset duration to predict second people flow data within a target duration; determining the reference temperature of the target area within the target duration in combination with the outdoor temperature and the area characteristics of the target area; in combination with the reference temperature and the second visitor flow rate data, temperature adjusting parameters of the target area within the target duration are determined, and an initial operation scheme of an air conditioner of the target area is formulated according to the temperature adjusting parameters; and according to the environment monitoring parameters of the target area, determining an environment load coefficient, and according to the environment load coefficient, generating a target operation scheme. The method has the technical effects that the environment change is predicted in advance, the air conditioner operation parameters are adjusted in time, and it is guaranteed that the indoor environment can reach the comfortable state in time.

The invention provides a power transformer temperature control method and system, and the method comprises the steps: carrying out the real-time monitoring of the temperature of a power transformer based on a temperature sensor and a control algorithm, and carrying out the adjustment through employing a PID control strategy, and obtaining a temperature control instruction; obtaining a temperature adjustment starting point in the temperature control instruction, setting adjustment parameters according to the adjustment starting point, adjusting a cooling system of the transformer, and obtaining adjustment effect data; setting control parameters according to the adjustment effect data, and limiting the adjustment range of the PID control strategy; under the criterion that the temperature of the transformer is stable, based on the heat balance principle and the transformer loss model, the optimal cooling system adjusting parameters are searched for, and temperature control is conducted on the transformer. The operation efficiency and the safety of the transformer can be improved, and the energy consumption and the maintenance cost are reduced.

The invention relates to the field of temperature monitoring, and discloses a high-voltage passive induction temperature monitoring system, which comprises a plurality of temperature sensors, the plurality of temperature sensors are arranged in different cabinets and channels in a machine room; a control unit; the control unit is used for sending a detection instruction to each temperature sensor and receiving a feedback temperature signal; the control unit generates a temperature change curve of each monitoring point according to the received temperature signals; the control unit constructs a three-dimensional temperature distribution model of the whole machine room based on the temperature change curve of each monitoring point, identifies a potential hot spot area based on the three-dimensional temperature distribution model and predicts the temperature change trend of the potential hot spot area; a refrigeration unit; the refrigeration unit is used for adjusting the temperature of the located area; the refrigeration unit is communicated with the control unit; wherein the control unit adjusts the power of each refrigeration unit based on the identified potential hot spot areas.

The invention relates to a multi-point temperature control method and system based on intelligent temperature equalization control, and the method comprises the steps: collecting the temperature data of each region in frequency converter equipment in real time, and enabling the regions to comprise but not limited to a power module, a power module and a heat dissipation region; based on the temperature data, a deviation value between the temperature of each region and a preset target temperature is calculated through a preset analysis algorithm, and a temperature adjustment requirement of each region is generated based on the deviation value; based on the temperature adjusting requirements of all the areas, adjusting parameters of the cooling equipment are calculated through an optimization algorithm, and a corresponding control instruction is generated in combination with the load state of the frequency converter equipment; and the control instruction is transmitted to the cooling equipment, and corresponding parameters of the cooling equipment are adjusted according to the control instruction. The method has the effect of improving the temperature control precision.

The invention provides a control method of a refrigeration house, a controller, an air conditioner and the refrigeration house. Under the condition that the target goods are not put in storage or taken out of storage, the first information is received, the quality information and the current temperature information of the target goods are obtained in advance, the first target thermal load data are calculated in combination with the environment parameters (such as the temperature parameters) of the current cold storage, and therefore the first target thermal load data are obtained before the goods are put in storage or taken out of storage. And dynamically adjusting environmental parameters (such as temperature parameters) of the refrigeration house according to a calculation result. The method effectively solves the problem that the temperature control of the refrigeration house, especially the refrigeration house with frequent goods input and output, is not accurate enough in the prior art. By adjusting the operation state of the environment adjusting equipment in advance, for example, the compressor frequency, the fan rotating speed and the control valve opening degree of the refrigeration equipment are optimized, the temperature of the refrigeration house can be accurately reduced before goods are put in storage, or the temperature of the refrigeration house can be properly increased before goods are taken out of storage, and therefore the problem of temperature adjustment lag is avoided.

The invention relates to the field of mold cooling optimization, and discloses an automobile mold cooling optimization system and method based on reinforcement learning, and the method comprises the steps: collecting the real-time temperature and flow data of each cooling loop, carrying out the preprocessing and abnormity filtering of the data, and constructing a multi-dimensional basic cooling state database through combining historical operation records and environmental parameters; performing spatial mapping and statistical analysis on the temperature and flow data in the basic database, identifying a high-temperature region with heat concentration and a part with remarkable temperature gradient, and forming a local heat feature model; establishing an independent control sub-model, and optimizing cooling water flow and temperature regulation parameters of each loop by adopting a simulation and reinforcement learning combined method; a local adjustment strategy and an overall cooling target are fused, and main loop parameters are optimized through a global control algorithm; in the mold cooling process, temperature and flow fluctuation are continuously monitored, and real-time data are input into an optimization system. The method has the advantage that the cooling precision and efficiency are improved.

The invention provides a multi-section collaborative dynamic adjustment temperature control system and method, and relates to the technical field of multi-section temperature adjusting.According to the multi-section collaborative dynamic adjustment temperature control system and method, division and data acquisition of a screw rod section, a barrel section and a machine head section are achieved through the thermodynamic state of materials of all sections, and after thermodynamic state data of all the sections are obtained, the temperature of the materials of all the sections is obtained; based on shear heat modeling of a compression section, heat source distribution and axial temperature change of a screw area are obtained, a two-dimensional heat conduction model of a barrel section is established, heat flux density in an axial partition structure is continuously solved, flow coupling calculation is further introduced into a machine head area, outlet temperature fluctuation characteristics are extracted, and a heat flow distribution model is established. And finally, by uniformly fusing the output parameters of each section, a dynamic thermal potential energy function is constructed, and the system can realize overall quantification and uniform expression of the thermal state of each temperature control section. The real-time responsiveness and the global heat balance level of the multi-section temperature control system are effectively improved.

The invention relates to the technical field of smart home, and discloses an electric blanket system capable of adjusting calorific value by self-adaption to environment temperature, comprising a sleep sensing module used for collecting physiological signal data of a user; the state recognition module is used for recognizing the current sleep state of the user; the temperature target generation module is used for determining a corresponding target temperature value according to the current sleep state; the control calculation module is used for calculating a control instruction of each heating area; the multi-area heating execution module is used for performing heating control on the plurality of independent heating areas; and the temperature acquisition and feedback module is used for acquiring the real-time temperature of each heating area and feeding back the temperature to the control calculation module. Through linkage of the AI housekeeper and the external electronic bracelet, adaptive adjustment of the intelligent temperature control system is realized, a temperature control strategy is dynamically optimized according to real-time temperature data, user behaviors and environmental changes, limitation of a traditional static scheme is avoided, personalized temperature adjustment is provided, and flexibility and comfort are improved.

An air conditioning system is provided with an integrated heat exchanger. The air conditioning system generates heating air or cooling air through the integrated heat exchanger that adjusts the temperature of conditioning air by circulating coolant, thus securing cooling and heating efficiency. The air conditioning system adjusts temperature by the coolant circulated in the integrated heat exchanger such that a temperature adjustment door for adjusting the temperature of the conditioning air is eliminated, the number of components is decreased, and the size of an overall package is reduced.

To maintain the relative humidity and temperature of the air in a target room at optimal levels while preventing temperature and humidity irregularities within the target room.SOLUTION: An air conditioning system includes: an air-conditioning room provided with a plurality of air conditioners; a target room requiring air at conditioned temperature and humidity; a control device that switches operation modes of each of the plurality of air conditioners between cooling and heating operation modes, based on a dehumidification demand and an air conditioning demand in the target room; and a blower for delivering air conditioned for temperature and humidity by the plurality of air conditioners from the air-conditioning room to the target room.SELECTED DRAWING: Figure 1

The invention discloses an air conditioner heat management double-temperature-zone cooperative control method, device and equipment and a storage medium, and relates to the technical field of electric vehicle control. The method comprises the steps that the target air outlet temperature is obtained, and the starting state of a double-temperature-zone air conditioner is obtained; the corresponding temperature adjusting device is started according to the target air outlet temperature, the target adjusting temperature is set according to the starting state of the double-temperature-zone air conditioner so as to conduct temperature adjustment, and the target adjusting temperature comprises the target evaporation temperature and / or the warm air temperature; the opening state of the air door is controlled according to the opening state of the double-temperature-zone air conditioner, a cold source and a heat source are reasonably opened, execution mechanisms such as an electronic expansion valve, a heat source distribution three-way water valve and a temperature air door are cooperatively controlled, the cold and heat sources are reasonably distributed, energy consumption is saved, the opening degree of the air door is controlled in a closed-loop mode, and comfort is improved to a great extent.

The invention discloses an analysis and evaluation algorithm for the temperature regulation effect of a variable air volume air conditioner terminal device, and relates to the technical field of air conditioner regulation. Generating a temperature evaluation parameter and an air valve evaluation parameter based on the operation data; based on the temperature evaluation parameters and the air valve evaluation parameters, establishing a joint judgment model; according to the method, the energy waste working condition of counteracting the regional cold and hot demand can be found in time, the passive situation that treatment is carried out after the temperature is seriously deviated is avoided through early recognition and root diagnosis of the abnormal track, and the method is suitable for large-scale popularization and application. And the indoor comfort is improved.

The invention discloses a seat temperature adjusting method, device and equipment and a storage medium, and relates to the technical field of automobile engineering.The seat temperature adjusting method comprises the steps that the temperature outside an automobile, the seat temperature and the running state of a vehicle-mounted refrigerator and the running state of a vehicle-mounted air conditioner are obtained; according to the temperature outside the automobile, the seat temperature, a first preset temperature and a second preset temperature, the adjusting requirement is obtained, and the first preset temperature is smaller than the second preset temperature; and the seat loop valve, the air duct fan and the seat fan are controlled according to the operation state and the adjustment requirement, and seat temperature adjustment is completed. According to the method, passengers can always keep comfortable under different weather conditions, the perception comfort of a human body to the vehicle seat is improved, meanwhile, unnecessary energy consumption is reduced, the system efficiency is improved, the service life of equipment is prolonged, the intelligent level of the vehicle is remarkably improved, and better riding experience is provided for the passengers.

The invention discloses a power distribution cabinet with a temperature adjusting function, and relates to the field of power distribution cabinet heat dissipation, the power distribution cabinet with the temperature adjusting function comprises an equipment frame, a square frame fixedly penetrates through the top of the equipment frame, and the power distribution cabinet further comprises a moving device; wherein the moving device comprises a fixed frame, a ventilation plate, a fan, a rotating rod, a circular plate, a rotating plate, a sleeve, a supporting rod, a sliding block, a U-shaped plate, a fixed block, a connecting plate, a moving plate, a connecting block, a bearing block, a square block and a filtering plate, the fixed frame is slidably installed in the square frame, and the ventilation plate is fixedly installed in the fixed frame. According to the power distribution cabinet with the temperature adjusting function, the ventilation effect is achieved by opening the ventilation opening, the situation that the interior of equipment is overheated, and consequently the equipment cannot operate normally is prevented, the humidity in the cabinet can be reduced through good ventilation, meanwhile, the area of the ventilation opening is increased along with increase of the rotating speed of the internal fan, and self-adaptive adjustment can be conducted according to changes of the temperature in the cabinet.

The invention relates to the technical field of thermal management optimization, and discloses an active cooling and power optimization system of a plateau turbine generator, which comprises a multi-physics field modeling module, a reinforcement learning decision module, a strategy optimization training module and an edge execution control module, and is used for resolving a temperature field / flow field / stress field coupling state in real time, providing environment dynamic characterization, and optimizing the power of the plateau turbine generator. According to the method, multi-source sensing data is processed, a cooling liquid flow rate and cooling fin angle control instruction is generated, strategy iteration optimization is carried out in a digital twin environment, the physical rationality and energy efficiency optimality of a control algorithm are ensured, a lightweight strategy network is deployed, and sub-second-level real-time response and fault safety protection are achieved. Through intelligent control and multi-physical field cooperation, the temperature adjusting precision and the system response speed are improved, efficient power output of the turbine is kept under different altitudes and climate conditions through a self-adaptive strategy, and a reliable clean energy solution is provided for high-altitude areas in combination with multiple safety protection mechanisms.

The invention relates to the technical field of air conditioner temperature adjustment, in particular to an energy-saving control method, device and equipment for machine room air conditioner group control, a storage medium and a computer program product. The method comprises the following steps: acquiring temperature and humidity data in a machine room, power consumption data of load equipment and operation parameters of air conditioning equipment; synchronizing the data according to timestamps to generate a corresponding multi-source feature data matrix; constructing spatial thermodynamic model parameters based on the multi-source feature data matrix; on the basis of the space thermodynamic model parameters, the temperature evolution trend in the target time domain is predicted, and a control instruction sequence of the air conditioning equipment is generated on the basis of a prediction result; and if the control instruction sequence meets the preset temperature range constraint, the preset temperature change rate constraint and the preset control time interval constraint, the corresponding control instruction is sent to the air conditioner equipment, and the air conditioner group control energy-saving efficiency is improved.

The invention relates to the technical field of heat management, in particular to a multi-objective optimization heat management system, and aims to solve the problems that traditional heat management systems often have limitations in design, mostly can only focus on a single heat dissipation or preheating function, and the capability of comprehensively processing various heat management requirements is lacked. Comprising a temperature sensor array, a heat management execution module, an intelligent control module and a data interaction module, temperature data of key areas in a vehicle are collected in real time, and the system can accurately adjust the temperature environment in the vehicle by combining the real-time working condition of the vehicle, so that the vehicle temperature is controlled. According to the method, the engine, the battery and other key components are always in the most suitable working temperature range, the multi-objective optimization algorithm not only pays attention to the accuracy of temperature adjustment, but also gives consideration to the maximization of the energy utilization efficiency, and the system can reduce the energy consumption as much as possible and reduce the energy consumption of the thermal management system while meeting the temperature adjustment requirement.

The invention relates to the technical field of data processing, in particular to an automatic temperature control method for an indoor heating system, and the method comprises the steps: determining an initial moment when the outdoor temperature of a target room begins to drop; indoor temperatures and outdoor temperatures of the target room at multiple moments after the initial moment and construction parameters of the target room are obtained; calculating heat dissipation rates at multiple moments according to the indoor temperature, the outdoor temperature and the construction parameters; according to the heat dissipation rate of each moment and the indoor temperature, determining an adjustment moment when the target room needs to be subjected to indoor temperature adjustment; based on the indoor temperature and the heat dissipation rate corresponding to the adjustment moment, the indoor temperature at a certain moment and the minimum value of the heat dissipation rate at a sampling moment before the adjustment moment, a temperature adjustment coefficient at the adjustment moment is determined; and the heating rate at the adjusting moment is determined according to the temperature adjusting coefficient and the heating rate at the moment before the adjusting moment. The accuracy of indoor temperature regulation and control is improved, and the stability of the indoor temperature during heating is ensured.

The invention provides a heat collecting coil temperature adjusting device and a control method thereof, and relates to the field of temperature adjusting equipment, and the heat collecting coil temperature adjusting device comprises a temperature sensor, a controller, a heating module and a cooling module. The temperature sensor is installed at a key temperature measuring point of the heat collecting coil, the measuring precision is + / -0.1 DEG C, and data are collected according to the characteristics of a thermistor and wirelessly transmitted to the controller. The controller receives the data, calculates deviation and change rate according to a preset target, and obtains a control quantity by using a fuzzy adaptive control algorithm; the heating module adjusts current according to control quantity to change power temperature rise, and the cooling module adjusts rotating speed of a water pump to control flow speed temperature reduction. The control method comprises the steps of target presetting, data acquisition and transmission, deviation and fuzzy control quantity calculation, temperature adjustment, parameter adjustment and the like, fuzzy control rule parameters are optimized through a genetic algorithm, and the problems that an existing device is insufficient in precision, complex in structure, inflexible in control strategy and the like are solved.

The invention discloses an inflation heating system linked with wireless body temperature monitoring and capable of automatically adjusting temperature setting, and relates to the field of body temperature monitoring, which comprises the following steps: acquiring initial multi-modal data of a user by wearing a multi-modal monitoring device, acquiring historical multi-modal data, establishing a control platform, inputting a currently required target temperature in the control platform, and setting the target temperature according to the target temperature; the heating power of the inflation equipment is automatically adjusted for temperature adjustment, the multi-modal monitoring device collects the multi-modal data again after temperature adjustment is completed, and target multi-modal data is formed; calculating the temperature compensation amount of the displacement area of the flexible sensor; and constructing a displacement-humidity coupling compensation model based on the temperature compensation amount, the initial multi-modal data and humidity data in the target multi-modal data, and importing the target power into the displacement-humidity coupling compensation model for updating to obtain corrected power. The system has the advantages that body temperature maintenance in a dynamic environment is realized through multi-modal fusion and a compensation mechanism.

This invention belongs to the field of passive radiative cooling materials, specifically relating to a thermal management film that integrates both radiative cooling and heating functions, and its preparation method. It is characterized by preparing a black PPY modified cotton as the heating surface and a white PMMA / NaH2PO2 composite film as the cooling surface, which are then combined by coating and drying to produce a double-sided thermal management film capable of both heating and cooling. This invention addresses the difficulty people have in regulating their temperature in hot or cold environments. The entire temperature regulation process is environmentally friendly and energy-saving, and the preparation method is simple, making it suitable for large-scale production.

The invention relates to the technical field of temperature and humidity control, in particular to a temperature and humidity self-adaptive control method for a tea aging workshop, which comprises the following steps: acquiring the temperature and humidity outside the workshop, the temperature and humidity of a stacking area and the temperature and humidity set by temperature and humidity adjusting equipment; according to the temperature of the accumulation area, the influence degree of the external temperature and the influence degree of the internal temperature on the accumulation area are obtained; according to the temperature of the accumulation area, the temperature outside the workshop, the temperature of the accumulation area and the temperature set by the temperature adjusting equipment, a temperature prediction model of the accumulation area is built, and the set temperature of the temperature adjusting equipment is obtained by combining the temperature change outside the workshop of the accumulation area and the temperature prediction model of all the accumulation areas. By analyzing the influence of the temperature and humidity adjusting equipment and the environment outside the workshop on each accumulation area, the temperature and humidity in the workshop are adjusted in a self-adaptive manner, so that the tea aging quality is improved.

The invention provides an air conditioner control method for zone adjustment, an air conditioner system and a storage medium, and the method comprises the following steps: when entering a heat exchange mode, obtaining personnel position distribution data in a current physical space; dividing the current physical space into more than two temperature control areas according to the personnel position distribution data; determining a target temperature value corresponding to each temperature control area; and according to the target temperature value, the corresponding air conditioner is controlled to conduct temperature adjustment on each temperature control area. By means of the air conditioner control method, the indoor temperature control area division accuracy and flexibility can be improved.

The invention relates to the technical field of constant-temperature control, in particular to a constant-temperature quick-cooling control method for 0.5-degree outlet water without freezing and containing low-temperature secondary refrigerants. The constant-temperature quick-cooling control method comprises the following steps that S1, the real-time outlet water temperature, target temperature and environment temperature sampling are obtained, and the difference between the target temperature and the real-time outlet water temperature is analyzed; and dividing three temperature control stages for the 0.5 DEG C effluent cooling condition according to the difference, and marking the corresponding section as a target cooling stage to obtain a temperature control stage identifier. According to the invention, through the real-time monitoring and the subdivision management of the temperature control stage, the response speed and accuracy of temperature adjustment are improved, the current temperature change can be reflected in real time, the future adjustment demand can be analyzed and predicted through the prospective temperature trend, the adjustment is more timely, and the adjustment efficiency is improved. The staged temperature management allows precise temperature regulation and control according to the actual cooling requirements, and especially effectively prevents ice crystals from being generated in the rapid cooling process.

The invention provides a power supply strategy optimization method for condensation control and a ring main unit, and belongs to the technical field of power supply, and the method specifically comprises the steps: determining the coincidence probability of the ring main unit and humidity intervals of different fluctuation types in a future preset time period according to the humidity monitoring data of the ring main unit, when the coincidence probability is utilized to determine that the distribution data of the coincidence risk time period in the future preset time period meets the requirement, the temperature change condition of the ring main unit under the weather data of the current date is taken as the basis, and the temperature change condition of the ring main unit is determined on the basis of the coincidence probability of the coincidence risk time period and humidity intervals of different fluctuation types; according to the method, the adjustment demand type of the humidity adjustment device of the ring main unit is determined, and the power supply processing strategy of the temperature adjustment device of the photovoltaic device at different monitoring temperatures is determined by using the adjustment demand type and the humidity monitoring data, so that the reliability of the control processing of the condensation risk is improved, and the use of the commercial power is reduced.

The invention provides an air conditioner purification system for cleaning a workshop. The system comprises a fresh air unit, an air conditioning unit and a filtering air supply device, wherein the fresh air unit is used for performing coarse filtering and humidity regulation on outdoor fresh air; the air conditioning unit is used for performing medium-efficiency filtering and temperature regulation on flowing air; the filtering air supply device is used for efficiently filtering the air regulated and purified by the air conditioning unit and supplying the air into a clean space; the air return fresh air device is arranged on the upstream of an air flow path of the air conditioning unit, and the measurement and control system is responsible for measuring, regulating and controlling indoor environment parameters and system operation parameters. The invention provides a novel air conditioner purification system flow and a regulation and control method, solves the decoupling problem of mutual coupling of positive pressure regulation and control and humidity regulation and control, realizes independent regulation and control of four environmental parameters, namely temperature, humidity, cleanliness and positive pressure, of the clean workshop, improves the control precision of the environmental parameters of the clean workshop, and improves the control precision of the clean workshop. And the operation energy consumption of air conditioner purification is greatly reduced.

The invention provides an automobile heat management system and a control method thereof. The automobile heat management system comprises a compressor, a condensation heat exchanger, a throttling device and an evaporation heat exchanger which are communicated to form a refrigerant circulation loop; the in-vehicle cold air heat exchanger can exchange heat with the evaporation heat exchanger or the condensation heat exchanger through the cold carrying pipeline so as to conduct convection refrigeration or convection heating on the interior of the vehicle. The radiation heat exchanger can exchange heat with the evaporation heat exchanger or the condensation heat exchanger through a cold carrying pipeline so as to carry out radiation refrigeration or radiation heating on the interior of the vehicle; the seat heat exchanger can exchange heat with the evaporation heat exchanger or the condensation heat exchanger through the cold carrying pipeline so as to conduct conduction refrigeration or conduction heating on the seat. The problems that when a traditional automobile air conditioning cabinet adopts an indirect heat exchange system, due to the introduction of an intermediate heat exchange process, the heat exchange capacity is insufficient, the energy efficiency is poor, temperature adjustment of a passenger compartment cannot be met under high loads, and energy consumption is high can be solved.

The invention discloses an air conditioning equipment group energy-saving control method and system based on big data driving, and relates to the technical field of air conditioning equipment group control. According to a target environment where an air conditioning equipment group is located, arrangement information corresponding to the target environment is obtained; the temperature can be adjusted by X1 DEG C within the set time to determine the initial coverage area of any air conditioner, then the initial coverage area of the air conditioner is updated according to the cooling speed for the areas which are not divided, and therefore the approved coverage area of each air conditioner is obtained, and the number of seats in the approved coverage area is synchronously obtained; and then the number of started air conditioners is determined according to the number of students in the next class of the current time, the corresponding number of started air conditioners is determined, and the started objects are determined, so that the number of started air conditioners and the specific number of started air conditioners are reasonably arranged.