62 results about "Thermal index" patented technology

The invention discloses a smart city energy management system based on energy conservation and emission reduction, and relates to the technical field of smart city energy management. By using an intelligent sensor group, illumination related data of illumination equipment is obtained, an illumination related data set R is constructed, and a light attenuation factor Gs, a convective heat transfer index DL and a use intensity factor Qd are extracted; the method comprises the following steps: dynamically evaluating the thermal load intensity of an urban area, scientifically dividing thermal risk grades, combining performance brightness prediction and control strategy matching to realize subarea and lamp-divided refined dimming control, using a feedback self-evaluation and optimization regulation and control mechanism, carrying out power reestimation and strategy alternation on an area with a substandard control effect, and carrying out power control on the area with the substandard control effect. Redundant energy consumption is effectively reduced, heat accumulation is restrained, and the lighting efficiency and the environment comfort degree are improved.

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 is suitable for the technical field of wind-solar power generation, and particularly relates to a wind-solar complementary power generation system generating capacity prediction method, which comprises the following steps: carrying out data acquisition to obtain historical data; preprocessing the historical data to obtain preprocessed data, and discretizing the preprocessed data to obtain discrete data; constructing an HMMC model, and constructing a historical data set through historical data to train the HMMC model; and collecting real-time data, calculating a thermal index based on the real-time data, and performing power prediction by the HMMC model according to the thermal index. By considering the interdependence between photovoltaic power generation and wind power generation and taking the thermal index as a meteorological variable into the model, the prediction accuracy of PV and wind power generation is remarkably improved, model training is performed by using historical data, and the model is dynamically updated to adapt to a new data sample, so that the prediction accuracy of the photovoltaic power generation and the wind power generation is improved. And the prediction accuracy and timeliness are ensured.

The invention discloses a subway station environment control and temperature control method, which comprises the following steps: introducing a dynamic thermal comfort model which takes a relative thermal index RWI as a core, comprehensively considers various influence factors such as human body metabolism rate, environment temperature, clothes thermal resistance and the like, and can accurately evaluate the thermal comfort feelings of passengers under different environment conditions. The system can intelligently adjust the temperature of the station hall and the platform layer by monitoring the outdoor temperature change in real time and combining the thermal comfort requirement of passengers in the riding process, so that the temperature is matched with the physiological and psychological feelings of the passengers. The dynamic adjusting mechanism not only can obviously improve the riding experience of passengers and reduce the dissatisfaction of the passengers caused by uncomfortable temperature, but also can effectively reduce the energy consumption and reduce the operation cost. In a word, through a scientific method and an advanced technology, individuation, intelligentization and greenization of subway station environment control are realized, and a more comfortable and healthier riding environment is provided for passengers.

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.

The invention discloses a heat dissipation performance evaluation method and system for a backlight source. The backlight module is powered on in a first test period, a module infrared image is obtained, color features are extracted based on a color histogram, and backlight sub-regions are divided by adopting agglomeration hierarchical clustering; in the second test period, the sub-regions and the whole are electrified respectively, RGB color features and temperature differences of two tests are extracted, color feature differences and temperature differences are calculated, the heat dissipation index of each region is evaluated, and the index can comprehensively reflect the heat dissipation performance of different regions and effectively guide the backlight module to carry out structure adjustment and production optimization; and the production test efficiency and the performance evaluation accuracy are 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 present invention discloses a method for environmental control and temperature control of subway stations, including: the present invention introduces a dynamic thermal comfort model, which takes the relative thermal index RWI as the core, comprehensively considers multiple influencing factors such as human metabolic rate, ambient temperature, and clothing thermal resistance, and can accurately evaluate the thermal comfort of passengers under different environmental conditions. By real-time monitoring of outdoor temperature changes and combining the thermal comfort needs of passengers during the ride, the system can intelligently adjust the temperature of the station hall and platform to match the physiological and psychological feelings of the passengers. This dynamic adjustment mechanism can not only significantly improve the passenger's riding experience and reduce passenger dissatisfaction caused by temperature discomfort, but also effectively reduce energy consumption and reduce operating costs. In short, the present invention realizes the personalization, intelligence and greening of subway station environmental control through scientific methods and advanced technologies, providing passengers with a more comfortable and healthy riding environment.

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.

This environment control device is provided with a control unit (100) for controlling an environment adjustment unit (A) that controls a warm environment in a space (I), and the control unit (100) estimates, on the basis of emotion information about a subject (T) in the space (I), an emotion indicating that the subject (T) is comfortable or uncomfortable; the control unit (100) determines, on the basis of the frequency of occurrence of each emotion corresponding to a warming index value, which is a value indicating a warming index, a range of the warming index value indicating comfort or discomfort as an emotion region, and sets, on the basis of the emotion region, a target value for the warming index in the space (I).

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.

Magnet wire including extruded insulation formed from a blend of different polymeric materials is described. A magnet wire may include a conductor and insulation formed around the conductor. The insulation may include base enamel insulation and at least one layer of extruded insulation formed from a blend of at least three different polymeric materials. The enamel insulation may include either filled polyimide or filled polyamideimide. For the blend, a first polymeric material, such as polyetheretherketone, may have a thermal index above 240° C. Second and third polymeric materials, such as polyphenylsulfone and polyethersulfone, may have lower thermal indexes.

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 method for forming magnet wire includes co-extruding multiple layers of different insulating materials. A conductor may be provided, and extruded insulation may be formed around the conductor by co-extruding both a first layer of thermoplastic insulation and a second layer of thermoplastic insulation with the second layer formed around the first layer. The first layer may include a first polymeric material having a first thermal index, and the second layer may include a second polymeric material having a second thermal index higher than the first thermal index.

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 present invention provides an electromagnetic-thermal-field-circuit coupling simulation method and system for an insulation-free superconducting magnet, including constructing a circuit network model, a magnetic field model, and a solid heat transfer model. The current distribution obtained from the circuit network model is imported into the magnetic field model and the solid heat transfer model; the magnetic field and temperature distributions update their critical current distribution parameters in real time. During iteration, healthy coils with a temperature rise lower than the threshold value construct a centralized circuit network model, and quenched coils exceeding the threshold value are dynamically switched to a distributed circuit network model. The present invention effectively improves the calculation accuracy in highly nonlinear regions by constructing a refined circuit mesh in the quenched area, and realizes the accurate simulation of electromagnetic and thermal indexes during the full working cycle of the insulation-free superconducting magnet; by adopting a centralized circuit network model and a sparse circuit mesh, while ensuring the calculation accuracy of the model, the number of variables to be solved is reduced, and the problem of excessive simulation burden of a ten-thousand-turn high-field insulation-free magnet is solved.

A control system for an ultrasonic hand piece is provided. The control system includes an irrigation pressure sensor configured to measure a pressure of an irrigation fluid, an ultrasonic power source configured to provide power to an ultrasonic transducer, and a controller. The controller is configured to receive a selection of an ultrasonic power modality, generate a control signal based on the selected ultrasonic power modality, provide the control signal to the ultrasonic power source, determine an irrigation flow rate from a measured irrigation pressure provided by the irrigation pressure sensor, calculate a thermal index value based on the irrigation flow rate and the selected ultrasonic power modality, and, in response to the thermal index value reaching a threshold value, adjust the control signal based on the thermal index value. The ultrasonic power modality is one of a two dimensional power modality and a three dimensional power modality.

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.

The present invention provides a method, device and computer-readable storage medium for correcting a heat dissipation index, the method comprising: obtaining historical illuminance data of a tower to be tested for several days and first heat dissipation index data of the day; obtaining standardized data based on the historical illuminance data; calibrating all the shielding time periods of the standardized data in one day; determining the second heat dissipation index data corresponding to each shielding time period in the first heat dissipation index data, calculating the heat dissipation index mean of the first ten minutes of each shielding time period, and correcting the second heat dissipation index data. Compared with the prior art, the shielding time period is determined and calibrated based on standardized data, and the heat dissipation index data is corrected based on a heat dissipation index mean, which eliminates the influence of multiple factors on solar radiation, improves the accuracy of measurement, corrects the capacity increase margin of the transmission line and reduces the operation risk.

An air conditioner (2) is a device that can reduce the risk of a user developing heatstroke, and comprises: a receiving unit (211) that receives alert information relating to heatstroke; a temperature sensor (201) that detects the temperature of a space to be air-conditioned; a humidity sensor (202) that detects the humidity of the space; a calculating unit (23) that, when the alert information is received by the reception unit (211), calculates a heat index for the space on the basis of the temperature detected by the temperature sensor (201) and the humidity detected by the humidity sensor (202); and a control unit (20) that, if the calculated value of the heat index obtained by the calculating unit (23) is greater than a predetermined threshold value, controls the operation of the air conditioning of the space such that the heat index decreases.

The invention relates to a centralized heating system comprehensive scheduling method based on operation data, and aims to solve the technical problems of excessive heating and uneven cooling and heating of a current heating system. The technical scheme is that the method comprises the steps of data acquisition and transmission, construction of a dynamic thermal index model based on multi-dimensional data, and guidance of accurate distribution of heat; dynamic regulation and control of heat are realized through linkage of an algorithm and equipment; the actual energy consumption and the index energy consumption are compared, the user complaint rate and the room temperature standard reaching rate are combined, a heating station grading assessment result is generated, and the system stability and the prediction precision are continuously improved. Whole-network comprehensive energy consumption indexes with the heating stations as units are established, energy consumption indexes of heat, coal, gas, water, electricity and the like of the whole network are formulated according to the overall comprehensive energy consumption level of a company, the energy consumption indexes of the heating stations are refined through the average room temperature, and a scheduling process and evaluation system according to the indexes of the heating stations based on the intelligent heat supply platform is established.

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.