264 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 relates to the technical field of environment intelligent regulation and control, in particular to a vegetable greenhouse environment intelligent regulation and control method and system. The method comprises the following steps: acquiring all-weather illumination data and internal environment data of the vegetable greenhouse through a sensor; performing air heat flow exchange path identification based on the internal environment data of the vegetable greenhouse to obtain internal air heat flow exchange path data; according to the all-weather illumination data of the vegetable greenhouse, carrying out heat flux period temperature and pressure deposition simulation on the internal air heat flow exchange path data, and carrying out gas exchange barrier effect analysis to obtain gas exchange barrier effect data; performing regional environment staged regulation and control on the gas exchange barrier effect data to obtain regional environment staged regulation and control data; and carrying out environment regulation and control model construction on the regional environment stage regulation and control data to obtain an environment regulation and control logic model. According to the invention, the intelligent environment regulation and control technology is optimized, so that the intelligent environment regulation and control technology is more accurate.

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 self-adaptive regulation and control method and system for a storage environment of ancient fossils, and relates to the technical field of environment regulation and control. The method comprises the following steps: acquiring pollution gas concentrations, bacterium concentrations and dust concentrations at a plurality of preset positions in a storage environment; determining whether a ventilation mode, a sterilization mode or a dust removal mode is started in the next regulation and control cycle; if the ventilation mode is started in the next regulation and control period, the ventilation demand duration is determined; obtaining internal temperature data and internal humidity data; acquiring external temperature data and external humidity data; obtaining the working power of the regulation and control system; determining whether the working power of the regulation and control system in the next regulation and control period needs to be regulated or not; determining the working power of the adjusted regulation and control system; and setting the working power of the regulation and control system as the adjusted working power of the regulation and control system. According to the invention, the working power of the regulation and control system can be accurately regulated by starting the ventilation mode, and the stability of the ancient fossil storage environment is improved.

The invention relates to the technical field of fermentation monitoring, in particular to a fermentation monitoring method, device and equipment. The method comprises the following steps: acquiring adjustment equipment information, equipment application data and real-time environment information, processing the adjustment equipment information, the equipment application data and the real-time environment information to obtain an equipment monitoring model, and performing application monitoring on each piece of environment regulation and control equipment based on the equipment monitoring model, judging whether at least one environment regulation and control device is abnormal in application or not, if yes, performing abnormality analysis on the at least one environment regulation and control device based on the device monitoring model and the real-time environment information to obtain an abnormal device set and a weight value corresponding to each abnormal device in the abnormal device set, and binding and marking the abnormal equipment set and the weight value according to the equipment structure position and the equipment monitoring model, and controlling and displaying the equipment monitoring model after binding and marking. The fermentation efficiency of the enzyme preparation fermentation process is improved.

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 present invention relates to a method and system for regionalized environmental supervision of aquaculture based on data analysis. The method comprises: obtaining a non-aquaculture period in an aquaculture area, obtaining the aquatic plant proliferation rate and the average growth time of the aquatic plants according to the non-aquaculture period; screening out nutrient areas of different levels from the aquaculture area according to the aquatic plant proliferation rate and the average growth time of the aquatic plants; continuously monitoring and analyzing nutrient areas of different levels, and determining whether the aquaculture area is in a trend of trophic imbalance according to the monitoring and analysis results; if it is a trend of trophic imbalance, analyzing the placement of materials in the aquaculture area, and regulating the environment of the aquaculture area according to the analysis results. The present invention performs water quality trend analysis on the aquaculture area, improves the efficiency of environmental supervision, ensures that the environment of the aquaculture area meets the actual breeding needs, increases the aquaculture output, and can control the aquatic management and control costs of the aquaculture area.

The invention relates to an environment law and regulation case auxiliary analysis system based on a large language model, and the system employs the large language model to carry out the case induction of a historical environment law violation judgment book, forms a case database, and supports the matching retrieval. The method comprises the following steps of: studying and judging an environment illegal scene by utilizing a large language model in combination with legal provisions to form a case summary description so as to retrieve historical cases; and on the basis of a big language model, integrating current case summary and historical judgment conditions, forming prediction analysis on illegal facts, judgment basis and punishment contents of the scene of the user, and assisting a production enterprise or an environment law enforcement officer to judge illegal consequences and punishment strength of a specific scene. Therefore, the method does not need professional personnel to carry out case teasing or data collection, the input requirement is low, the application difficulty is small, the output analysis result basis is more transparent, and the staff can conveniently check.

The invention relates to the technical field of intelligent adjustment, and discloses an environment adjustment system with emotional intelligence, which comprises a data acquisition module used for acquiring language signal data of a user, including language data and voice signal data; the language processing module is used for performing text preprocessing on the language data to obtain language keywords; the emotion score determining module is also used for determining a language emotion score of the user according to the emotion knowledge base and the language keywords based on the optimized language model; the voice processing module is used for performing feature extraction on the voice signal data, determining feature data of the voice signal data, and determining a voice emotion score of the user according to the feature data based on a voice model; and the environment adjusting module is used for determining a comprehensive emotion score of the user according to the language emotion score and the voice emotion score, and adjusting environment light configuration of the user according to the comprehensive emotion score. According to the invention, the emotion of the user can be sensed in real time and indoor light can be automatically adjusted according to the emotion so as to better meet personalized requirements of the user.

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 present invention discloses a health data feedback method based on a dynamic environment adjustment system, and belongs to the technical field of electronic digital data processing. The present invention collects brightness data, and analyzes the comprehensive brightness of a target area according to a comprehensive brightness analysis strategy; collects eye data, and evaluates the visual fatigue of a collected object according to a visual fatigue evaluation strategy; obtains matching light brightness according to a light brightness matching strategy; obtains eye data again after adjusting the light according to the matching light brightness, evaluates the visual fatigue of the collected object according to the visual fatigue evaluation strategy, and determines whether the visual fatigue is relieved according to the visual fatigue of the collected object; the present invention combines the dynamic overall brightness with eye fatigue to derive a suitable light brightness to meet the lighting needs of the collected object, and whether eye fatigue is relieved by subsequent monitoring is conducive to timely adjusting the light brightness, thereby protecting the eye health of the collected object and improving the comfort of work or study.

The invention discloses a distributed intelligent control system, which belongs to the technical field of temperature and humidity control. It can implement targeted control measures according to environmental monitoring results, actively control the preservation environment of cultural relics, improve the collection and preservation capacity of cultural relics and the level of environmental control; open up the path between the environmental monitoring system and the environmental control equipment, realize the stable environment of the museum, and change the short-term periodic fluctuation of temperature and humidity caused by the frequent switching of the constant temperature and humidity unit system and the inaccurate real-time temperature and humidity feedback through uninterrupted intelligent control, so as to provide a relatively stable preservation environment for cultural relics; in addition, through the setting of the air-inducing light-guiding tube, the air outlet of the air duct is effectively monitored, and the influence of the abnormal air outlet of the air duct on the control efficiency of the temperature and humidity in the cultural relics storage compartment is effectively avoided, and the staff can be reminded in time to intervene in the abnormal situation, thereby greatly reducing the influence of the abnormal situation on the temperature and humidity change amplitude of the storage environment.

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 discloses an indoor environment regulation and control system based on a multi-intelligent system, and belongs to the technical field of indoor environment regulation and control, and the system comprises a data obtaining subsystem which is used for obtaining multi-dimensional environment data of an indoor region based on an inductor intelligent agent; the data processing subsystem is used for preprocessing the multi-dimensional environment data of the indoor area to generate a data set; the model construction subsystem is used for constructing a bidirectional long-short-term memory network model and training the bidirectional long-short-term memory network model based on the historical data set to obtain an environment regulation and control model; the calculation subsystem is used for inputting the data set into an environment regulation and control model to generate a regulation and control strategy; and the execution subsystem is used for feeding back the regulation and control result to the actuator intelligent agent for execution. Through optimized operation of the intelligent regulation and control system, the comfort level of the indoor environment is improved, and unnecessary energy waste can be reduced and energy efficiency maximization can be achieved by accurately controlling work of environment equipment.

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.