223 results about "Environmental regulation" patented technology

The invention provides an intelligent factory production scheduling method and system based on digital twinning, and the method comprises the steps: firstly obtaining a real-time monitoring data set, including equipment operation states, material flow tracks and environment sensing data, of a physical workshop; generating a three-dimensional digital twinborn model containing an equipment dynamic operation topology, a material real-time distribution thermodynamic diagram and an environment state simulation layer, then performing operation state correlation analysis on the three-dimensional digital twinborn model, and generating a feature set of equipment operation efficiency, material flow bottleneck, environment interference and the like; generating a dynamic scheduling parameter set containing equipment load balancing, material priority distribution and environment adaptation compensation parameters, and finally calling a preset scheduling strategy optimization algorithm to perform multi-objective optimization processing on the dynamic scheduling parameter set to generate an equipment scheduling, material distribution and environment regulation and control instruction set. And synchronizing to a physical workshop to execute real-time scheduling operation, thereby realizing intelligent and efficient production scheduling.

The invention relates to the technical field of environment monitoring, and provides a collaborative control method and device for a measurable, displayable, adjustable and controllable environment system, and the method comprises the steps: collecting an original data set of a monitoring region, carrying out the preprocessing, and constructing a multi-dimensional environment data knowledge graph containing time-space correlation attributes; through a neural network learning environment parameter and health risk space-time correlation characteristic, outputting a healthy human settlement environment comprehensive evaluation result based on a fuzzy comprehensive evaluation matrix of adaptive threshold adjustment; inputting the comprehensive evaluation result of the healthy human settlement environment into a Kriging interpolation algorithm, generating an indoor four-dimensional space-time dynamic thermodynamic diagram in combination with environment parameter space-time distribution characteristics, generating a health risk prediction thermal layer based on risk weight superposition, and forming a visual composite atlas; outputting a regulation and control strategy by taking energy consumption, equipment cost and a health risk value as optimization targets; and controlling the household cooperative equipment. According to the invention, predictive control is carried out on the environmental equipment, and the accuracy and effectiveness of environmental regulation and control are improved.

An autonomous environmental regulation and behavioral monitoring system is disclosed, configured to adapt temperature, lighting, and acoustic conditions based on real-time emotional and physiological data. The system includes a dual-redundant central processor, hierarchical communication networks, multi-angle visual acquisition units, infrared thermometers, and modular environmental subsystems. It detects posture, gestures, facial expressions, and thermal signals to classify user states and apply individualized airflow, light, and sound modulation without relying on external internet connectivity. The system also monitors connected appliances using voltage-based pressure analysis to forecast device degradation. With integrated gesture recognition, privacy-preserving data handling, and predictive adaptation, the invention enables multi-user personalization, long-term learning, and uninterrupted operation within residential, administrative, or healthcare infrastructures.

The invention relates to the technical field of environment regulation, in particular to a corn cultivation environment intelligent regulation method based on multi-sensor control, which comprises the following steps: S1, generating a soil moisture three-dimensional distribution diagram in real time through humidity sensor arrays arranged at different depths of a corn root zone; s2, combining infrared temperature data of the canopy and the three-dimensional distribution diagram of the soil moisture, and calculating a moisture motion mismatch degree through transpiration-permeation conduction collaborative analysis; s3, generating a user-defined irrigation mode based on the water movement mismatch degree, and controlling the irrigation duration, the stop interval and the water flow rate. According to the method, coupling modeling is carried out on the plant physiological water demand behavior and the soil moisture supply characteristic, the limitation that a traditional irrigation system only depends on a soil humidity threshold value or meteorological index judgment is broken through, and the biological adaptability and the aging responsiveness of field moisture regulation and control are improved.

The invention discloses a dough humidity and temperature dynamic regulation and control system based on multi-modal sensor fusion, and relates to the technical field of operation parameter regulation and control, and the method comprises the steps: carrying out the non-blind area monitoring of a three-dimensional temperature and humidity field in a fermentation box, and eliminating the local failure risk of a point-type sensor; capturing a space-time coupling relationship of temperature and humidity-carbon dioxide concentration-dough volume through a self-attention mechanism; constructing a differential equation set comprising at least one state variable; establishing a fermentation equipment thermodynamic model, optimizing refrigeration and heating time sequences through reinforcement learning, and designing an energy consumption optimization strategy based on digital twinning; performing cross-device cooperative control; constructing a hierarchical diagnosis tree containing fault features; performing microbial activity enhanced humidity regulation and control, and forming a protective layer on the surface of the dough based on a humidity gradient control algorithm of a water molecule diffusion coefficient. And by arranging the environment regulation and control module, the time compression module and the time sequence optimization module, the product quality, the production efficiency and the energy utilization rate are remarkably improved.

The invention discloses a greenhouse temperature data monitoring method and system based on data analysis. The method comprises the following steps: S1, collecting and constructing an environment data set by using a multi-point sensor array arranged in a greenhouse; s2, obtaining a preprocessed environment data set; s3, forming an initial partition structure; s4, when it is monitored that the environmental data change exceeds a threshold value, dynamically adjusting partition boundaries and the number of regions to obtain a self-adaptive partition result; s5, performing feature extraction on the environment data of each partition in the self-adaptive partition result to form a feature set for model training; s6, obtaining future temperature prediction results of different partitions in the greenhouse; and S7, generating greenhouse environment regulation and control suggestions in combination with future temperature prediction results of different partitions, and carrying out auxiliary regulation on a ventilation system, a heating system and a shading device. The problems of insufficient precision and poor adaptability in greenhouse temperature monitoring and regulation in the prior art are solved, and efficient technical support is provided for intelligent agriculture development.

The invention relates to the technical field of edible mushroom culture, in particular to an edible mushroom culture environment multi-dimensional monitoring system, which comprises an environment parameter acquisition module, a dynamic data preprocessing module, a multi-dimensional environment characteristic parameter extraction module, an environment abnormity evaluation module, a regulation and control decision generation module and an execution mechanism control module, the environmental parameter acquisition module acquires an original environmental parameter set; the dynamic data preprocessing module generates preprocessing environment data; the multi-dimensional environment characteristic parameter extraction module is used for extracting multi-dimensional environment characteristic parameters; the environment abnormity evaluation module outputs an evaluation result; the regulation and control decision generation module generates a regulation and control instruction sequence including priority ranking; and the execution mechanism control module converts the regulation and control instruction sequence into an execution mechanism driving signal. According to the method, the response efficiency of environmental regulation and the resource utilization rate are improved, and stable growth of edible mushrooms under variable environmental conditions is guaranteed.

The invention relates to the technical field of agricultural environment control, in particular to an automatic environment regulation and control system for planting traditional Chinese medicinal materials, which comprises an environment quality evaluation module, an environment regulation and control demand analysis module, a planting mode optimization module and an intelligent regulation and control module. According to the method, environmental changes can be comprehensively understood by comprehensively evaluating the environmental quality, monitoring and analyzing the volatility of environmental data and judging the actual influence on the root growth of the traditional Chinese medicinal materials, a more stable and suitable growth condition is provided for the traditional Chinese medicinal materials, and fine adjustment of the environmental data is realized by simulating multi-environment combination, so that the accuracy of the traditional Chinese medicinal materials is improved. The method not only optimizes the rhizosphere environment, but also effectively promotes the absorption of the traditional Chinese medicinal materials to the target nutrient elements, enhances the growth efficiency and quality of the crops, dynamically regulates and controls the environmental parameters, further improves the nutrient absorption capacity of the traditional Chinese medicinal materials, ensures the health of the root system and the overall development of the crops, and improves the economic benefits of the crops. And synchronous improvement of production efficiency and crop quality is ensured.

The invention relates to the technical field of intelligent archival repository management, and discloses an intelligent archival repository management method and system based on multiple modules. The method comprises the following steps: acquiring environment monitoring data such as storehouse temperature and humidity distribution and air quality indexes, and generating an environment state feature vector through feature extraction; inputting the data into an archive storage risk assessment model, outputting a risk level, and generating an environment regulation and control instruction set containing temperature and humidity regulation and air purification parameters according to the risk level; monitoring access request data containing file numbers and access timestamps in real time, and constructing an access frequency matrix to calculate file thermodynamic diagram distribution; a warehouse partition regulation strategy is generated by combining the thermodynamic diagram and the regulation instruction set, and the high-frequency access file is dynamically migrated to an environment stable area; incremental learning is adopted periodically to update model parameters, and risk prediction precision is optimized. The method can improve the intelligent degree of warehouse management and guarantee the safety of file storage.

The invention provides a greenhouse intelligent temperature control automatic adjustment optimization method based on multi-parameter dynamic coordination, and relates to the technical field of agricultural facility environment control. The method comprises the following steps: acquiring temperature, air humidity, wind speed and airflow distribution environment data inside and outside a greenhouse in real time; the environment state is quantified through a dynamic evaporation efficiency coefficient DEEC and an airflow distribution uniformity index ADUI; the flow of a water pump, the rotating speed of a fan and the opening degree of a ventilation system are dynamically adjusted in combination with an improved PID control algorithm, and the weight of an integral term is dynamically adjusted along with the ADUI to enhance the response efficiency; a time sequence prediction model based on LSTM is adopted to fuse historical and real-time data, a parameter correction amount is predicted, and the adaptation capability of the system to a new environment is improved in combination with a transfer learning algorithm; system hardware comprises a low-power-consumption wireless sensor, a frequency conversion actuator and an embedded control terminal. Through combination of multi-parameter perception and cooperative control, accurate temperature and humidity control and energy efficiency optimization are realized, resource consumption is reduced, and automation and intelligence levels of environment adjustment are improved.

The invention discloses a radix ranunculi ternati planting monitoring method and a radix ranunculi ternati planting monitoring system based on the Internet, and relates to the technical field of planting management. Environment state parameters and radix ranunculi ternati state parameters in the radix ranunculi ternati planting area are collected in real time through installed environment monitoring Internet of Things equipment, and meanwhile the collected environment state parameters and the collected radix ranunculi ternati state parameters in the radix ranunculi ternati planting area are processed through a data processing method; the method comprises the following steps: processing environment state parameters of environment regulation and control Internet of Things equipment, setting catclaw buttercup root planting standard environment parameters after processing is completed, analyzing the processed environment state parameters and catclaw buttercup root state parameters based on the set standard environment parameters, finally collecting regulation and control parameters of the environment regulation and control Internet of Things equipment and the analyzed environment state parameters and catclaw buttercup root state parameters, predicting the regulation and control parameters in real time, and obtaining the regulation and control parameters of the environment regulation and control Internet of Things equipment. And the operation of the environment regulation and control Internet of Things equipment is controlled based on the regulation and control parameters predicted in real time, so that the real-time performance of planting monitoring of the radix ranunculi ternati is improved.

The invention relates to the technical field of environment regulation and control, and discloses a multi-parameter environment closed-loop regulation and control method and system based on an FPGA, and the method comprises the steps: unifying monitoring data to a same space coordinate system through the FPGA according to the monitoring data collected by a sensor network disposed in an environment, analyzing the coupling relation between different parameter data, and obtaining fusion data; based on the fusion data, analyzing the environment crop state through a preset crop state recognition model, simulating the influence condition of different parameter adjustment processes on the crop state, and generating a first control instruction set; analyzing the degree of deviation between the environmental parameters in the fused data and a preset target value, calculating the priority of each control instruction in the first control instruction set, and merging and optimizing the control instructions; the environmental parameters are corrected; according to the application, the regulation and control efficiency can be improved, the environmental disturbance and the crop demand change can be quickly responded through FPGA parallel processing, and the environmental regulation and control efficiency and the regulation and control effect are improved.

The invention discloses a multi-factor coupling ganoderma lucidum environment digital twinborn regulation and control method oriented to high-yield requirements, particularly relates to the technical field of intelligent cultivation of edible mushrooms, and is used for solving the problems of equipment action oscillation and recessive physiological stress caused by physiological response hysteresis of ganoderma lucidum in an existing environment regulation and control system. Carbon dioxide concentration and illumination intensity predicted values are generated in real time by constructing ganoderma lucidum growth digital twins, and an oxidative stress mark is activated by combining hypha respiratory entropy matching degree analysis and an active oxygen accumulation curve; when the matching degree exceeds a threshold value and oxidative stress exists, a metabolic overload signal is generated, and whether the carbon dioxide predicted value is in a physiological hysteresis interval or not is judged; delay compensation and metabolic overload suppression coefficient adjustment are performed on the carbon dioxide predicted value in the delay interval; and finally, inputting the compensated carbon dioxide value and the illumination prediction value into an environment factor coordination rule base, generating a ventilation opening degree and light supplementing power instruction to drive execution equipment, and ensuring the morphological development stability of the sporocarp and the synthesis efficiency of the active component.

The invention relates to the crossing field of agricultural intelligent algorithms and intelligent equipment technologies, in particular to an environment regulation and control model algorithm and algorithm model platform fusing crop physiology. According to the model algorithm, through four-step calculation of spatio-temporal heterogeneity adaptation, multi-source data dynamic coupling, stress self-adaptive adjustment and self-learning iterative optimization, a partition precise regulation and control decision value is generated; the algorithm model platform comprises a data acquisition layer (a partition sensor and a multi-source interface), a feature processing layer (a three-dimensional feature library and data preprocessing), a model algorithm layer (deploying the model algorithm) and a platform application layer (partition regulation and control and closed loop feedback), and full-link cooperation of algorithm calculation, platform execution, effect feedback and algorithm iteration is achieved. The crop yield is increased by 15-20%, water resources are saved by 25-30%, and the method is suitable for multi-crop facility agriculture scenes.

The invention discloses a light-temperature coupling-oriented eucommia ulmoides seedling environment precise regulation and control method and system, and belongs to the technical field of agricultural facility seedling culture, and the method comprises the following steps: obtaining real-time environment parameters in a greenhouse, and generating an environment data set; establishing a light-temperature coupling knowledge base based on the matching relationship between the illumination intensity and the temperature in different growth stages; according to the real-time illumination intensity value in the environment data set and the light-temperature coupling knowledge base, calculating a currently required compensation temperature value, and generating a temperature regulation and control instruction in combination with an actual temperature value in the environment data set; generating an illumination compensation strategy according to the temperature regulation and control instruction and a seedling growth stage identifier in the environment data set; and executing the temperature regulation and control instruction and the illumination compensation strategy, and outputting a linkage control signal to preset environment regulation and control equipment. According to the method, a light temperature compensation algorithm adaptive to the growth stage and a humidity feedback correction mechanism are adopted, dynamic cooperative regulation and control of the greenhouse environment can be achieved, and the seedling growing quality and the resource utilization efficiency are remarkably improved.

The invention relates to the technical field of intelligent environment control, in particular to a temperature and humidity adjusting method and system based on intelligent ventilation control, and the method comprises the steps: confirming environment parameters, initializing an adjusting unit, obtaining a control instruction, standardizing a data set, generating a state report, optimizing an abnormal state, dynamically adjusting the environment parameters, and the like. The system comprises an environment data acquisition module, an environment data analysis module, an abnormal state processing module and a dynamic adjustment module. According to the application, dynamic perception and accurate regulation and control of environmental data are realized through the multi-mode sensor and the central control system, adaptability and anomaly recognition efficiency are improved by using the self-learning module and the anomaly detection module, and data security is guaranteed through an encrypted transmission protocol. The intelligent level and the energy-saving effect of environment adjustment can be effectively improved, and the system is suitable for temperature and humidity management in a complex environment.

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

The invention relates to the technical field of intelligent control, and discloses a heat pump system regulation and control method and device based on scene information, and the method comprises the steps: determining system information corresponding to a heat pump system, scene information of a target area, and an environment regulation demand corresponding to the target area; the scene information comprises a scene type and scene use information; collecting real-time environment parameters of the target area; determining a radiation convection analysis result corresponding to the target area according to the system information; according to the real-time environment parameters, the radiation convection analysis result, the scene information and the environment adjustment requirement, regulation and control parameters corresponding to the heat pump system are generated; and according to the regulation and control parameters, the heat pump system is controlled to execute indoor environment regulation operation. Therefore, by implementing the method, the change characteristics of the indoor area can be dynamically analyzed, so that the control flexibility and the control accuracy of the heat pump system are improved, and the somatosensory comfort of a user is improved.

The invention relates to the technical field of edible mushroom environment regulation and control, in particular to an agricultural edible mushroom growth environment dynamic regulation and control method and system. The method comprises the following steps: acquiring a regulation and control instruction of an edible mushroom growth environment and growth environment parameters within a period of time; based on the regulation and control instruction and the growth environment parameters, determining a growth control response curve of the edible mushrooms within a period of time; determining a curve deviation degree based on the control response curve and a preset health response curve; comparing the curve deviation degree with a preset deviation threshold value to obtain a curve deviation result; and based on the curve deviation result and a preset regulation and control strategy, obtaining a regulation and control scheme for regulating and controlling the growth of the edible mushrooms. The invention aims to solve the problems that in the prior art, edible mushroom infection pathogens in a culture room cannot be recognized in time, the pathogens diffuse in the culture room, the growth environment of edible mushrooms is difficult to regulate and control in time, and large-range infection of the edible mushrooms is caused.

The invention belongs to the technical field of archive management, and particularly discloses a smart archive library integrated management system. The system comprises an archive information input module, a user information login module, a user archive retrieval module, a user archive sorting module, a user archive confirmation module, a user archive permission confirmation module, a user archive consulting confirmation module, a database and an archive consulting tracking processing terminal. According to the method and the device, the comprehensive retrieval sorting of the associated archives is carried out according to the similarity of the associated archives and the retrieval keywords and the retrieval weights of the retrieval keywords, so that the accurate sorting of the associated archives is realized, and the sorting accuracy of the associated archives is improved; and meanwhile, environment regulation and control judgment is performed according to the archive environment information consulted by the archive entity, and auxiliary regulation and control analysis is performed in combination with a historical environment tracking log, so that the accuracy and adaptability of environment regulation and control are improved, and energy and cost are saved.

The invention relates to the technical field of plant intelligent planting, and discloses a plant growth environment monitoring and intelligent regulation and control method and system, and the method comprises the steps: data collection: correspondingly collecting environment parameter data of a plurality of environment factors of a plant growth region through a plurality of sensors; data preprocessing: performing data fusion on the environment parameter data to obtain fused environment data; parameter threshold judgment: performing parameter threshold judgment on the basis of the fused environment data according to a suitable target environment parameter range of plant growth to obtain threshold judgment results corresponding to the plurality of environment factors; intelligent regulation and control: analyzing an environment regulation and control strategy based on a threshold judgment result to obtain a target environment regulation and control mechanism; and intelligent early warning: processing a threshold judgment result through an early warning regulation and control network, dividing early warning levels, and obtaining an early warning regulation and control strategy based on the early warning levels. According to the invention, plant growth environment parameters can be monitored in real time, and parameter data can be automatically regulated and controlled to be within a suitable range.

The invention provides an intelligent cabin environment adjusting method and system based on solar term perception and a vehicle, and relates to the technical field of intelligent cabins, and the method can dynamically adjust the decision weight according to the matching degree of solar terms and actual weather, generates a target contextual model which fits the natural rhythm and gives consideration to the actual conditions, and improves the user experience. On the basis, different areas in the cabin are subjected to partition cooperative adjustment of multiple elements such as temperature, humidity, wind, light and fragrance, and the problems that a traditional system is single in adjustment and lacks context awareness and individuation are effectively solved; meanwhile, by continuously recording and analyzing user feedback behaviors, the system can adaptively optimize a weight allocation strategy and contextual model parameters, and continuously improve the accuracy of environment adjustment and the user satisfaction, thereby effectively enhancing the comfort, culture affinity and intelligent level of the intelligent cockpit.

The invention discloses an energy-saving projection outdoor lamp based on environmental adjustment heat dissipation, and relates to the technical field of outdoor lamps. The energy-saving projection outdoor lamp comprises a direction adjusting table, a transmission light source cylinder, a radiator and an electric focusing module; a driving module, an LED full-color dot matrix light source, a color temperature compensation unit, a cooling fan and a radiator are integrated in the transmission light source cylinder; the radiator is provided with a central flow channel and a plurality of branch flow channels, the radiating fan achieves active or passive radiating through multiple radiating modes which are preset based on the environment and comprise rain-free air draft, rain air exhaust and natural radiating, and radiating power consumption of lamp operation is remarkably reduced. The electric focusing module is used for adjusting the focal length and correcting aberration and improving the projection effect; through intelligent heat dissipation control and multifunctional integration, the outdoor projection lamp which is energy-saving, excellent in projection effect and long in service life is achieved, and the outdoor projection lamp is suitable for various outdoor environments; the problems that according to an existing outdoor projection lamp, the proportion of heat dissipation power to total power is large, and energy consumption cost performance is low are solved.

To provide a resin composition which is excellent in flame retardancy and heat resistance, and can suppress moisture absorption and bleeding, without using a bromine-based flame retardant having a concern of an environmental regulation control.SOLUTION: A resin composition contains polyolefin, zeolite, an antioxidant, and a metal hydroxide, wherein the resin composition contains 0.1 pts.mass or more and 3.5 pts.mass or less of the zeolite with respect to 100 pts.mass of the polyolefin, and 1 pts.mass or more and 6.5 pts.mass or less of the antioxidant with respect to 100 pts.mass of the polyolefin, and a mass ratio of the zeolite to the antioxidant is 0.08 or more and 3 or less.SELECTED DRAWING: Figure 1

The invention discloses a tomato greenhouse planting environment regulation and control method and system based on big data, and relates to the technical field of greenhouse environment regulation and control. The growth degree of crops is constructed, and if the growth degree is lower than expected environmental condition data in a greenhouse, the abnormal degree of environmental parameters is constructed; and constructing a condition risk degree of the greenhouse according to the abnormity degree of each environment parameter, if the condition risk degree exceeds the expectation, performing regression analysis on the growth environment parameter and the growth degree of the crop, determining a corresponding importance level according to the importance degree of each environment parameter, and adjusting the environment parameters in the greenhouse according to the importance level of each parameter. Acquiring a corresponding environment adjusting scheme; and testing the environment regulation schemes, constructing the efficiency of executing the environment regulation schemes according to test data, and screening the environment regulation schemes. By screening a plurality of schemes, when the optimal scheme is used for adjusting the environmental parameters in the greenhouse, the adjusting effect can be better.

The invention relates to the technical field of livestock and poultry breeding epidemic prevention, and discloses a biological safety system suitable for a breeding community, comprising: a space partition and hardware facility module for constructing a physical framework; the four dynamic line closed-loop management modules are used for executing a one-way flow standard operation instruction; the environment pressure gradient regulation and control module is used for maintaining stable air pressure gradients in areas with high safety levels to low safety levels, the integrated monitoring module is used for acquiring real-time data through a sensor network, and the biological safety state interlocking management and control module decides according to the real-time data, automatically issues instructions and regulates and controls hardware facilities and the environment pressure gradients in a linkage mode, so that intelligent active defense is achieved. Spatial partition, hardware facilities, dynamic line processes, environment regulation and control and intelligent interlocking management and control are systematically integrated, a set of multi-level and closed-loop comprehensive biological security defense system is constructed, and the defect of systematic prevention and control vulnerabilities in the prior art is overcome.

This invention discloses a device and method for coordinated control of temperature and humidity in an oxygen chamber, belonging to the field of environmental regulation technology. The device includes a shell, a humidification module, a wet curtain, a drive module, and a floating component. The shell has a first air outlet, and a fan is fixedly installed inside the shell. The wet curtain is located between the fan and the first air outlet. The humidification module delivers water to the top of the wet curtain through a water supply channel to ensure that the wet curtain remains moist. External air enters the system through an air inlet, passes through a filter to remove impurities, and is guided by the fan through the wet curtain. Heat and humidity exchange occur when the air passes through the wet curtain, water evaporates into the air, and heat is absorbed, lowering the air temperature and increasing the humidity. The floating component moves with the rise of the water level, causing the drive module to change position, reducing the amount of water sprayed, and preventing over-humidification.

The invention discloses an operating room purification environment self-adaptive regulation and control method and system based on time sequence prediction, and relates to the technical field of air conditioning. According to the operating room purification environment self-adaptive regulation and control method based on time sequence prediction, the environment state of an operating room and purification air conditioner operation time sequence data are continuously obtained in a set sliding regulation and control period, and a collaborative feature set is generated through associated feature mining; extracting a predicted collaborative feature set through a time sequence prediction model in combination with historical collaborative features; performing security domain definition based on the operation state set and a preset mapping relation library, and determining a purification control domain; according to the method, the operating room is subjected to environment regulation and control through the prediction optimization control set, so that the accuracy of environment regulation and control is improved, the problem of regulation and control lag caused by real-time fluctuation of the environment is avoided, operation parameters of a purification air conditioner are matched in advance, and then the cleanliness of the operating environment is guaranteed.

The invention discloses an intelligent sheep house environment control method and system, and the method comprises the steps: collecting the environment parameters in a sheep house in real time based on a five-dimensional environment sensing array, including temperature, humidity, ammonia concentration, illumination intensity and noise level; performing real-time quantification on the behavior characteristics of the sheep flock by adopting a sheep flock behavior recognition method based on deep learning; constructing a dynamic weight control model based on an LSTM neural network and a reinforcement learning mechanism, and inputting the collected environmental parameters and the quantized behavior characteristics into the dynamic weight control model to realize dynamic coupling of the environmental parameters and the behavior characteristics; and according to an output result of the dynamic weight control model, generating an optimal environment regulation and control instruction, and sending the optimal environment regulation and control instruction to execution equipment to realize intelligent and accurate regulation and control of the sheep house environment. According to the method, the environment regulation response speed can be increased, the lamb survival rate is increased, and the sheep flock health level and production efficiency are remarkably improved.

The application provides a non-working air conditioner multi-connected intelligent regulation and control system based on the Internet of Things, which comprises an acquisition module, a receiving module, an updating module and a determination module. The acquisition module is used for acquiring arrangement information and environmental regulation information of a multi-connected device group, dividing a regional configuration diagram according to the arrangement information and the environmental regulation information to obtain a plurality of environmental partitions. The receiving module is used for receiving regional reservation information of the environmental partitions by a reservation terminal, acquiring condition matching information of the regional reservation information and an occupation condition corresponding to the environmental partitions. The updating module is used for determining a planning type of the environmental partitions according to the condition matching information, wherein the planning type comprises a maintenance type and an expansion type. The updating module is used for updating the environmental partitions based on the planning type to obtain regulation partitions. The determination module is used for determining an occupation sub-area in the regulation partitions that meets the regional reservation information, and sending occupation reference information obtained according to the occupation sub-area to the reservation terminal.