29 results about "Thermal index" patented technology

The invention relates to the technical field of motor control, and discloses a three-phase asynchronous motor operation control management method and system, and the method comprises the following steps: 1, obtaining the pulse number per revolution of an encoder, the rated rotating speed of a motor nameplate, the acceleration time, the sliding stalling time, a thermal permission threshold, a load shedding threshold, a jump gate threshold, the upper limit of a start-stop token, and an expected rotation direction; determining the maximum allowable acceleration time and the minimum cooling locking time; 2, starting access judgment is carried out according to the three-phase existence state, the under-voltage state and the time condition; 3, pulse accumulation and rotation direction comparison are executed to generate a start judgment result, and the number of start-stop tokens is deducted; 4, calculating a thermal index based on temperature detection during operation, comparing the thermal index with each threshold, and outputting an operation continuing, load shedding or shutdown instruction; and 5, updating the thermal index, and outputting an unlocking result when an unlocking condition is met. According to the invention, safe management of the whole process of starting determination, operation regulation and control and shutdown unlocking of the three-phase asynchronous motor is realized.

The invention relates to the technical field of industrial data control, in particular to a segmented thermal management system for a stator core structure of a segmented motor, and the system is used for obtaining the liquid temperature difference, liquid flow velocity data and temperature data, gap temperature and actual power of an inlet and an outlet of a water flow channel of each unit stator core; segmenting the unit stator cores according to the temperature data of every two adjacent unit stator cores at all monitoring positions in combination with the gap temperature and the inlet and outlet liquid temperature difference to obtain characteristic segments; according to the temperature data distribution characteristics of the adjacent unit stator iron cores in each characteristic section, the overall heat dissipation index is obtained by combining the position distribution between the monitoring position and the gap; and adjusting the actual power of the motor, adjusting the liquid flow rate data of the unit stator iron core of each characteristic section, and determining a sectional type heat management scheme. According to the invention, segmented accurate heat management is realized, and the heat management effect of the motor is improved.

An environment control device includes a control unit usable to control an environment adjustment portion that controls a thermal environment of a space. The control unit estimates a sensation indicating comfort or discomfort of a target person based on sensation information about the target person in the space. The control unit determines, based on an appearance frequency of each sensation corresponding to a thermal index value as a value of thermal index, a range of the thermal index value indicating comfort or discomfort as a sensation region. The control unit sets a target value of the thermal index in the space based on the sensation region. The control unit determines a duration of comfort or discomfort sensation. The control unit determines the sensation region by excluding the thermal index value where the duration of the comfort or discomfort sensation is shorter than a predetermined time.

The invention discloses an anti-explosion intelligent lighting remote monitoring method and system based on the Internet of Things, and relates to the technical field of lighting monitoring. The method comprises the following steps: dynamically monitoring through a sensor network to obtain real-time sensor information; the edge controller is activated to analyze the real-time sensor information to obtain a real-time illumination decision; the real-time illumination decision and the real-time sensor information are transmitted to a remote monitoring center through a ZigBee wireless radio frequency device, and the remote monitoring center analyzes the real-time illumination decision and the real-time sensor information to obtain a predicted thermal index; if the predicted thermal index reaches a preset limit value, a remote heat dissipation instruction is sent out, and remote heat dissipation is conducted on the anti-explosion intelligent lighting equipment based on the remote heat dissipation instruction. The technical problems that in the prior art, the operation state of anti-explosion lighting equipment is not monitored in time, and heat dissipation control response is lagged are solved, remote monitoring of the anti-explosion intelligent lighting equipment is achieved through the Internet of Things technology, and the technical effects of improving the heat dissipation response speed and guaranteeing stable operation of the equipment are achieved.

A method includes receiving a first personal registration indicating a first responsibility position of a first person, the first personal registration further indicating a first device ID; receiving a first trigger signal including first heat data identifying a first heat index; determining that the first heat index exceeds a first predetermined threshold; determining the first device ID, at least in part based on the first responsibility position; and performing a first notification, at least in part based on the first device ID.

The invention relates to the field of marine environment data processing and analysis, and discloses a coral whitening risk monitoring method based on multi-source environment information, and the method comprises the steps: obtaining the multi-source environment information of a target monitoring sea area in a historical period; performing correlation analysis on the multi-source environment information in the historical time period, and calculating a correlation coefficient between a weekly heat index and each marine environment parameter; when a correlation coefficient between the weekly heat index and any marine environment parameter is greater than or equal to a preset coefficient threshold value, removing the corresponding marine environment parameter from the multi-source environment information to obtain screened multi-source environment information; constructing a Bayesian prediction model according to the screened multi-source environment information; the Bayesian prediction model comprises fixed effect items, and the fixed effect items comprise independent action items and interaction action items; and based on the Bayesian prediction model, calculating the coral whitening probability of the target monitoring sea area in the to-be-monitored time period. According to the invention, the accuracy and reliability of the coral whitening risk monitoring and early warning result can be improved.

1. The name of the design product: multifunctional black globe thermal index instrument (WBGT-EM783). 2. The use of the design product: for black globe thermal index instrument. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Mattress assemblies that provide reduced heat index during use include a thermally conductive layer and a spacer layer and in direct contact with the thermally conductive layer. Optionally, the thermally conductive foam layer can be perforated. In some embodiments, the thermally conductive layer and the spacer layer can overlay an innerspring mattress core, one or more foam layers, or a hybrid of foam and innersprings. In other embodiments, the mattress assemblies include a foam layer such as a viscoelastic foam layer overlying the thermally conductive layer and the spacer layer. Also, disclosed are processes for reducing the heat index in a mattress assembly.

A method for evaluating the activity of a blast furnace hearth is disclosed, relating to the field of automated monitoring technology for blast furnace ironmaking. The beneficial effects of this invention are as follows: This invention constructs a multi-parameter quantitative evaluation model by integrating eight dimensions, including physical thermal index, sidewall temperature change, tapping index, blast pressure stability, lower temperature stability, permeability index, FeO content, and lower valve box temperature. Combined with a dynamic weight allocation mechanism and a visual monitoring platform, it achieves real-time online monitoring and accurate evaluation of blast furnace hearth activity. The scoring update frequency can reach 30 times / hour, the prediction accuracy is improved to over 90%, the early warning time is advanced to 6 hours before anomalies occur, the accuracy of control measures is improved by 35%, and the number of production reductions due to furnace condition fluctuations is reduced by 42%. It effectively overcomes the shortcomings of traditional methods, such as strong lag, single indicators, and reliance on manual experience. It has good universality and long-term optimization capabilities, providing reliable technical support for stable and smooth blast furnace operation and low-consumption, high-efficiency production.

The invention relates to the technical field of resource exploration, and discloses a geothermal resource exploration method and system based on multi-parameter fusion, and the method comprises the steps: obtaining the temperature gradient, heat flux and rock thermal conductivity data of a geothermal exploration region measurement point, carrying out the data quality verification, obtaining a geothermal parameter data set, and carrying out the time-space reference standardization, obtaining a standard geothermal parameter data set; according to the standard geothermal parameter data set, carrying out multi-parameter correlation modeling to obtain a parameter fusion model and carrying out thermal index calculation to obtain thermal index distribution of the measuring points; according to the thermal index distribution of the measuring points, vertical layered modeling is carried out, a three-dimensional layered thermal field model is obtained, thermal storage potential area identification is carried out, and candidate thermal storage layer space distribution is obtained; and according to the spatial distribution of the candidate heat storage layers, resource quality grading is carried out, a graded heat storage resource distribution map is obtained, development priority area evaluation is carried out, and a target development area is determined. According to the method, high-precision thermal field modeling and efficient thermal reservoir identification can be realized.

The application discloses a heat dissipation performance evaluation method and system for a backlight source. In a first test period, a backlight module is powered on, and an infrared image of the module is acquired, color features are extracted based on a color histogram, and a backlight sub-region is divided by adopting condensed hierarchical clustering. In a second test period, the sub-region and the whole are powered on respectively, RGB color features and temperature differences in the two tests are extracted, color feature differences and temperature differences are calculated, and a heat dissipation index of each region is evaluated. The index can comprehensively reflect the heat dissipation performance of different regions, effectively guide structural adjustment and production optimization of the backlight module, and improve production test efficiency and performance evaluation accuracy.

A hybrid climate control system for a turbine aircraft, including a separate climate controller for each area of the turbine aircraft which can be configured to manually, semi-automatically, or automatically control temperature and fan speeds in that area. Streamlined user interfaces allow for state selections between fully manual, automatic temperature and manual fans, and fully automatic control, where fully automatic control virtually eliminates user distractions caused by climate control issues. A novel means of automatic aircraft fan control is performed by reducing the differential between an actual heat index and a target heat index of an aircraft area, using automatic fan adjustments; where heat index is a user comfort level derived from both temperature and humidity. For further improvements to safety and efficiency, fan speeds are automatically adjusted to accommodate power saving needs, and automatic systems are automatically transitioned to manual control if a fault is detected in the system.

The invention discloses an intelligent rice fertilizer efficiency regulation and control system based on multi-source data, and particularly relates to the technical field of intelligent agriculture. A temperature gradient value is generated by continuously collecting field temperature data to calculate a time change rate, and a predicted deviation value is generated by synchronously comparing a meteorological predicted temperature with a real-time temperature; environment temperature and humidity parameters are separated and processed, and independent weight coefficients are applied to generate thermal index values; comparing the gradient value, the deviation value and the thermal index value with a preset critical threshold value, a tolerance range and a thermal threshold value in real time to generate a three-level dynamic adjustment amount, executing weighted average operation by adopting a weight coefficient, and acting a result on a basic fertilization threshold value to generate a self-adaptive threshold value; and finally, performing proportional fine adjustment on the fertilizing amount. According to the method, quick response of environment sudden change is realized, decision timeliness of a temperature sudden change scene is improved, a high-temperature and high-humidity composite stress effect is effectively quantified, fertilization precision is optimized through a multi-factor dynamic compensation mechanism, and the problem that environment parameter coupling influence of a traditional system is not quantified is solved.

The invention discloses an ecological environment quality prediction method, and relates to the technical field of ecological environment, and the method comprises the steps: obtaining remote sensing images of a research region in different periods, and calculating a vegetation normalization index NDVI, a humidity index WET, a heat index LST, a dryness index NDBSI, a PM2.5 concentration difference index DI and a comprehensive salinity index CSI of the research region in different periods; constructing a novel remote sensing ecological index RSEInew by using a principal component analysis method, and dividing the novel remote sensing ecological index RSEInew into five ecological environment quality levels; calculating novel remote sensing ecological indexes RSEInew of the monthly scale, the annual scale and the different seasonal scales of the research area, and determining ecological environment quality levels of the monthly scale, the annual scale and the different seasonal scales of the research area; a CA-Markov model is constructed, the novel remote sensing ecological indexes RSEInew of the monthly scale, the annual scale and different seasonal scales of the research area and the ecological environment quality level are used as data sources, and the data sources are input into the CA-Markov model to predict the ecological environment quality; in conclusion, the method can accurately evaluate and predict the environment quality.

1. The name of the design product: air thermal insulation index test experimental device. 2. The use of the design product: air thermal insulation index test experimental device. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1. 5. The bottom surface of the design product is the part that is not easy to see or cannot be seen during use, and the top view is omitted.

The present application relates to the technical field of data center energy management and waste heat recovery, and particularly relates to a seasonal thermal management device suitable for a data center, comprising: data acquisition through a heat production information acquisition module and an environment information acquisition module; an analysis module determines a seasonal working condition thermal data adjustment range based on the environment data, and determines a plurality of comprehensive thermal indexes of the data center based on the seasonal working condition thermal data adjustment range, and divides thermal management areas; a control module determines each thermal management area based on the threshold of each thermal management area, and adjusts the load distribution of each cabinet based on the distribution state of each thermal management area; the analysis module further judges whether a corresponding chip protection strategy needs to be executed according to a hardware health degree model to optimize the equipment life. The present application realizes the collaborative and accurate control of the data center load and the liquid cooling system by dynamically identifying the thermal distribution and combining the seasonal working condition, and significantly improves the thermal management efficiency and the system energy efficiency.

A control system for an ultrasonic handpiece is provided. The control system includes: a perfusion pressure sensor configured to measure a pressure of a perfusion fluid; an ultrasonic power source configured to provide power to the ultrasonic transducer; and a controller. The controller is configured to: receive a selection of an ultrasonic power modality; generating a control signal based on the selected ultrasonic power modality; providing the control signal to the ultrasonic power source; determining a perfusion flow rate according to the measured perfusion pressure provided by the perfusion pressure sensor; calculating a thermal index value based on the perfusion flow and the selected ultrasound power modality; and adjust the control signal based on the thermal index value in response to the thermal index value reaching a threshold. The ultrasonic power mode is one of a two-dimensional power mode and a three-dimensional power mode.

The present disclosure relates to a substrate conveyance device and a cooling method for an arm. A substrate conveyance device for conveying a substrate includes: a conveyance arm having a substrate support portion for supporting the substrate and an arm linked to the substrate support portion for moving the substrate support portion; a cooling mechanism that supplies cooling fluid from a fluid supply source to each of a plurality of cooling target regions of the arm; a measurement portion that measures the temperature of each of the cooling target regions; and a control portion that, for each of the cooling target regions, calculates a thermal index based on the amount of change in the temperature of the cooling target region measured by the measurement portion with respect to a reference temperature and the degree to which the temperature of the cooling target region affects the movement accuracy of the substrate support portion, and that determines the distribution ratio at which the cooling mechanism distributes the cooling fluid from the fluid supply source based on the thermal index.

This invention discloses a method for predicting and evaluating urban street light and heat human factors based on multimodal behavioral coupling, belonging to the field of urban microclimate environment and human comfort assessment technology. The method includes the following specific steps: S1 Multimodal data acquisition; S2 Data preprocessing and multimodal input fusion; S3 Light-heat-human factor coupling modeling; S4 Response prediction and deep learning modeling; S5 Exposure integral index calculation; S6 Interpretable output of results; S7 Digital twin feedback and optimization. This invention is the first to deeply couple light environment factors with thermal environment factors and human behavioral responses, overcoming the limitations of traditional thermal comfort assessments that only focus on a single thermal index. By automatically extracting complex relationships through a deep learning model, it improves the accuracy and robustness of comfort prediction. Compared with methods that simply use indices such as PMV / UTCI, this invention provides more accurate predictions of subjective thermal sensation in outdoor dynamic environments, and its prediction of behavioral responses fills a gap in existing technology.

The invention discloses a thermal index correction method and system based on accumulated temperature effect, and the method comprises the steps: obtaining the historical data of a target region, and the data comprise power load, temperature and humidity, solar radiation intensity and non-meteorological characteristics; coding the non-meteorological characteristics and clustering in combination with the load data, and dividing a plurality of user behavior portraits; calculating a basic intense heat index, and constructing a dual correction model containing an air heat accumulated temperature effect and a building radiation accumulated temperature effect; for each behavior portrait, cooperatively solving a differentiated accumulated temperature effect parameter matrix by using a genetic algorithm; and finally, calling corresponding parameters according to the portrait to which the target day belongs, calculating the corrected exactly hot index and reversely deducing the equivalent highest temperature. According to the method, by introducing the solar radiation correction term and the behavior portrait classification mechanism, double accurate correction of air heat lag and building radiation lag is realized, the problems of single parameter and dimension deficiency of a traditional model are effectively solved, and the accuracy of summer power load prediction is improved.

This invention discloses a component heat dissipation testing system and method. The system includes: a testing module for applying an adjustable test current or voltage to control the heat generation power; a data acquisition module for acquiring real-time internal and surface temperature distribution data; a data processing module for constructing a multi-dimensional equivalent heat conduction network and extracting internal and external temperature thermal coupling parameters; a thermal resistance calculation module for calculating the total thermal resistance and local layered thermal resistance, and decoupling the stepped thermal resistance value along the heat conduction path into steady-state and transient components, generating corresponding steady-state and transient heat accumulation indices; and a heat dissipation performance evaluation module for determining multi-state failures based on thermal performance data and heat accumulation indices and generating a test report. This invention significantly improves the accuracy and reliability early warning capability of component heat dissipation performance evaluation.

1. Name of the product in this design: Thermal Index Detector. 2. Purpose of this design: For testing the thermal index. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

To provide a heat index prediction system for predicting an influence of heat of sunlight.SOLUTION: A heat index prediction system includes a storage part for associating and storing date / time information, place information, and sunlight intensity information, a communication part for performing communication, a first calculation part for calculating sunlight intensity information obtained by associated with sunlight inquiry information included in prediction information inquiry information inputted through the communication part, a second communication part for using a calculation result of the first calculation part to calculate direction identified sunlight intensity information, and a third calculation part for using a calculation result of the second calculation part to calculate heat index prediction information for predicting a heat index to the prediction information inquiry information inputted through the communication part. The communication part transmits the heat index prediction information calculated by the third calculation part to a transmission source of the prediction information inquiry information.SELECTED DRAWING: Figure 1

The invention discloses a method for identifying a flooding wetland composite dry heat event, which comprises the following steps of: acquiring terrain, hydrology, meteorology, land utilization and vegetation index data of a research area, determining a beach range and an exposed critical water level, and constructing a standardized analysis data set; simulating a wetland submerging process through a hydrodynamic model, and calculating a dry index and a thermal index of each grid; calculating a vegetation degradation rate based on the vegetation index, and determining a dry threshold and a thermal threshold in combination with a random forest model and joint probability distribution analysis; judging whether a dry heat threshold condition is met at the same time or not grid by grid, and counting a dry heat event grid proportion; based on the historical grid proportion sequence, a Pearson's type III curve is adopted for frequency analysis, a region-level event judgment threshold value is determined, and then whether the event is a region-level composite dry heat event year or not is judged; according to the method, multi-level accurate identification of the flooding wetland composite dry heat event is realized, and an effective technical support is provided for wetland ecological protection and disaster early warning.

The application discloses a kind of nanomaterial adding determination method, system and electronic equipment, it is related to composite material technical field.The present application determines the thermal conductivity component of each nanomaterial based on heat conduction performance and interface thermal conductivity, that is, the thermal index of nanomaterial is obtained, and the potential of greater nanomaterial for improving heat conduction performance can be quickly judged based on this thermal index.Moreover, the present application determines the critical length by establishing the relationship between the thermal conductivity between each nanomaterial and base material and the characteristic length of each nanomaterial, when the characteristic length of the selected nanomaterial is less than the critical length, the effective size interval of the nanomaterial is determined, that is, the size index of nanomaterial is obtained, and then it can be judged that the given nanomaterial corresponds to the best thermal conductivity improvement interval, based on the above processing, the composite material meeting the requirements can be prepared by adding nanomaterial in base material based on the effective size interval of nanomaterial and / or thermal conductivity component.

The invention discloses a blast furnace heat trend prediction method which comprises the following steps: acquiring blast furnace data including molten iron silicon content data Sn; based on heat balance of a high-temperature area at the lower part of the blast furnace, calculating by using blast furnace data to obtain an initial furnace heat index TQ of the blast furnace, and smoothing to obtain a furnace heat index TQn; calculating the heat DQn of the influence of the furnace top gas temperature change on the furnace heat trend; calculating a furnace heat trend pre-judgment index SQn according to the furnace heat index TQn and the heat DQn; carrying out linear fitting on the SQn-4t and the Sn to obtain a fitting coefficient; and judging the furnace heat trend of the blast furnace based on the change of SQn. The invention further discloses a computer readable storage medium. The method has the advantages that the prediction model is quantified, a two-dimensional prediction mechanism based on the heat index and the gas flow temperature is formed, the prediction sensitivity of the furnace heat change trend is greatly improved, the prediction result is more scientific, and the prediction accuracy is improved.

This invention discloses an automatic detection method and system for internal defects in nickel plates based on infrared color images, belonging to the field of metal material defect detection technology. The method includes: acquiring an infrared image of the nickel plate to be detected and determining whether it is an infrared Rainbow pseudo-color image; processing it using a pre-trained YOLO semantic segmentation model to output a nickel plate region mask and a hot circle region mask; if the ratio of the nickel plate pixel area to the total pixel area of ​​the image is greater than or equal to a preset threshold, performing hot circle contour extraction, noise contour removal, and thermal index filtering on the hot circle region mask, classifying it into complete hot circles and incomplete hot circles, calculating the pixel area ratio of complete hot circles, and generating standardized detection results. This application improves the automation and accuracy of nickel plate defect detection by combining deep learning semantic segmentation and multi-dimensional feature verification, and can be widely applied to nickel plate quality control in high-end manufacturing fields.

1. Name of the product in this design: Thermal Indexer. 2. Purpose of this design: To monitor the temperature index of the environment. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention provides a method and a device for adjusting the coal injection quantity of a blast furnace, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of historical furnace heat indexes of the blast furnace in a past first preset time period; predicting a predicted furnace heat index of the blast furnace in a second preset time period in the future according to the plurality of historical furnace heat indexes; dynamic recognition and accurate representation of complex, high-temperature, high-pressure and other thermal states in the blast furnace can be achieved based on the furnace heat index, the coal injection amount is adjusted based on the recommended fuel ratio, the hourly theoretical iron amount and the preset coke ratio determined by the predicted furnace heat index, and the current recommended coal injection amount is issued to a control system. And adjusting the coal injection amount of the blast furnace by using the current recommended coal injection amount. The coal injection quantity of the blast furnace can be accurately adjusted, and the production efficiency and the product quality of the blast furnace are effectively improved. The problem that the overall production index of the blast furnace is affected due to the fact that the coal injection amount is difficult to adjust timely and accurately through manual adjustment in the prior art is solved.