8822results about "Thermometers using electric/magnetic elements" patented technology

The invention discloses a distributed real-time monitoring and early warning system for a temperature field of a smelting furnace, and relates to the technical field of industrial process intelligent monitoring. The problems of accumulated measurement errors and non-stationary hotspot escape reconstruction hysteresis caused by static emissivity setting in an existing system are solved. Collecting multiband radiation intensity and voltage signals through time domain alignment of the multispectral sensor array and the thermocouple array; iterating emissivity parameters in real time by adopting a dynamic ash body spectrum ratio algorithm in combination with flue gas absorption characteristics; fusing non-contact and contact temperature measurement data based on weighted Kalman filtering and complementary filtering; constructing a space-time variable covariance function to carry out non-stationary Kriging interpolation; dynamically optimizing the local grid resolution by combining an adaptive grid module; the processing flow is accelerated through the parallel computing module; early warning is triggered based on abnormal probability judgment and is fed back to emissivity correction and grid optimization; according to the invention, the monitoring precision and real-time performance of the temperature field are obviously improved, and the risks of false alarm, missing alarm and equipment melting loss are effectively inhibited.

A package comprises a photonic integrated circuit (PIC) with a modulator having a first modulator input, and a PIC interconnect region within two millimeters or fifty microns from the modulator. Additionally, an electric integrated circuit (EIC) is included with a driver circuit and an EIC interconnect region within two millimeters or fifty microns from the driver circuit. The driver circuit is electrically connected to the first modulator input via the EIC interconnect region, a first metal interconnect, and the PIC interconnect region. The modulator receives a temperature-dependent bias voltage, where the temperature dependence of the bias voltage inversely matches the temperature dependence of the modulator across an extended temperature range.

The invention relates to the technical field of semiconductors, and discloses a full-temperature-zone polynomial digital temperature compensation method and system based on an SOI chip, and the method comprises the steps: obtaining the temperature frequency data of a preset temperature zone of a target SOI chip, fitting a full-temperature-zone curve, extracting a critical point of the temperature zone, dividing a segmented compensation interval according to the critical point, and obtaining the temperature frequency data of the preset temperature zone of the target SOI chip; the method comprises the following steps: calculating frequency drift amounts under different voltages to construct a full-automatic test framework, acquiring an environment temperature parameter and an instantaneous temperature value by using the framework, analyzing a temperature compensation vector of a segmented compensation interval, further monitoring a signal frequency interval output by a chip, extracting a phase noise parameter, calculating a frequency offset error amount with a preset value, and calculating the frequency offset error amount. And analyzing an error source, optimizing a polynomial compensation order, and collecting temperature drift suppression data to generate a full temperature region compensation report. According to the invention, the performance stability of the chip in a complex environment can be improved.

A wearable device configured to secure to skin of a user and noninvasively measure body temperature of the user can include first and second pairs of temperature sensors configured to generate one or more signals responsive to detected thermal energy, a thermally conductive element positioned at least partially between the second pair of temperature sensors, and one or more hardware processors configured to receive the one or more signals generated by each of said first and second pairs of temperature sensors and determine one or more body temperature values of the user based on at least comparisons between different ones of the first and second pairs of temperature sensors. In some implementations, the wearable device includes thermally conductive probes for transmitting thermal energy toward ones of the first and second pairs of temperature sensors and a substrate positioned between the probes and the skin.

Disclosed is a disinfection lamp with an underwater light projection effect, comprising an upper lampshade, a lower lampshade, a lens lampshade and a tube for containing sustained release chlorine tablets, wherein a circuit board and a battery are arranged on the lens lampshade, a solar panel is mounted on the surface of the upper lampshade, a first light bead is arranged on the lower surface of the circuit board, a light diffuser is arranged at a position, corresponding to the first light bead, of a bottom of the lens lampshade, the first light bead is located in the light diffuser, and the lower lampshade is mounted at the bottom of the lens lampshade. The disinfection lamp can float on water, and the tube containing the sustained release chlorine tablets is immersed in water, such that a conventional water purification, sterilization and disinfection effect is realized.

The invention discloses a copper bar connection state detection method and system, particularly relates to the technical field of copper bar state detection, and is used for solving the problem of poor early recognition of copper bar connection deterioration. According to the method, resistance and temperature rise conditions at the joint of the copper bars are measured synchronously in the load change process, signal denoising is realized in combination with finite difference filtering, and characteristic evolution conditions at the joint are captured; the method comprises the steps of determining an analysis window based on a real-time load change event, constructing a thermoelectric track point set and dividing a load rising and falling period, forming a continuous dynamic thermoelectric response curve, dividing a temperature rising track and a temperature falling track through a temperature change trend, extracting a resistance drift amount and a hysteresis loop area, and identifying a connection degradation trend and a structure fatigue characteristic. And connection state information generated by thermal stress action and thermal cycle asymmetry is obtained during load change, and a detection strategy is adjusted according to an analysis result, so that early degradation identification and intelligent risk grading of the copper bar connection state are carried out, and the sensitivity and accuracy of copper bar detection are improved.

The invention relates to the technical field of temperature measurement, in particular to a multi-zone temperature distribution real-time calibration method based on a heating body, which comprises the following steps of: 1, etching on the surface of a metal alloy heating body of which the resistance temperature coefficient is greater than a preset material threshold value to form N discrete series resistance heating units which are electrically connected in series but thermally discrete; 2, establishing a resistance-temperature dynamic relation library of each discrete series resistance heating unit; 3, synchronously measuring the real-time resistance value of each unit when the heating body works; 4, reversely deducing the temperature of a unit center point through a unit exclusive relational expression according to the real-time resistance value, and reconstructing a continuous temperature distribution matrix on the surface of the heating body in combination with a heat conduction equation; and 5, comparing the target temperature field with the real-time temperature field matrix, and adjusting the driving power of the corresponding unit in the out-of-tolerance region. Through continuous calibration and temperature adjustment, accurate control of a temperature field can be maintained in different use environments.

The invention relates to an inverter IGBT junction temperature prediction method and related equipment, and the method comprises the following steps: generating a loss characteristic spectrum through collecting IGBT electrical parameters and analyzing switching loss; calculating surface heat flux density, and constructing a heat flux distribution matrix. And performing thermal-electric coupling analysis by combining the two to obtain a junction temperature dynamic response sequence. Fourier transform is utilized to extract temperature fluctuation harmonic features, and a feature set is constructed; and extrapolating and predicting a junction temperature change trend based on the feature set, and outputting an IGBT junction temperature early warning signal through threshold judgment. The technical problem that the service life of a device is affected due to the fact that a large amount of loss is generated due to frequent switching actions in the working process of the inverter, the junction temperature of a chip rises and even temperature fluctuation occurs is solved.

The invention discloses a soil health and microbiological analysis intelligent environment monitoring device, and relates to the technical field of soil monitoring, the device comprises the following components: an outer shell, a sensor assembly, a microflora interaction monitoring sensor group, a data acquisition and transmission module, a power supply module, a microprocessor, a control unit and a data analysis module; signal molecule concentration change data and predatory relationship visual data are combined through the data analysis module, deep analysis is carried out by using bioinformatics and mathematical modeling means, and a multi-dimensional regulation network hidden in a microbial community can be comprehensively revealed; according to the soil health assessment device, the interaction relationship between the soil ecological system and the soil ecological system is analyzed accurately, the influence of the interaction relationship on key ecological functions such as material circulation and energy flow in the soil ecological system is analyzed accurately, the device can generate a detailed soil health assessment report based on the analysis results, agricultural scientific researchers, planting farmers and environmental protection monitoring departments can assess the soil health condition accurately, and the soil health assessment efficiency is improved. And targeted soil management measures are taken.

The invention relates to a thermal coupling over-reduced order prediction method and system for a multi-component assembled nonlinear system. The method comprises the following steps: collecting multi-scale physical field data; constructing an intrinsic orthogonal decomposition basis function space of a temperature field and a stress field, and establishing a double-field coupling constraint equation; constructing contact thermal resistance parameterized proxy models of a cylinder contact area, a bolt area and a free deformation area by adopting a domain discrete empirical interpolation method; constructing a parametric intrinsic mode tensor network to obtain a decline model which is used for realizing real-time reconstruction of a mode basis function through acquired tensor slices in an online stage; performing dynamic inversion based on a modal basis function reconstruction result, and outputting a predicted transient displacement field, a predicted temperature gradient field and a predicted contact stress field; and obtaining real-time parameters, and calculating a residual error with a corresponding prediction result so as to dynamically update the primary function and interpolation point distribution. Compared with the prior art, the real-time prediction of the transient thermal coupling of the multi-component contact system is realized on the premise of ensuring the precision.

The invention relates to the technical field of medical cyclotrons, in particular to a medical cyclotron magnetic field intensity adjusting method based on temperature compensation, and the method comprises the following steps: in the process of adjusting the magnetic field intensity of a main magnet based on temperature information, obtaining a temperature variation threshold: collecting the temperature on the surface of the main magnet in real time; determining a temperature difference coefficient, a temperature anomalous coefficient, a temperature abnormal coefficient and a trend approximate value of each acquisition moment; comprehensively analyzing the temperature values acquired by all the sensors, and determining the temperature difference degree and difference factor of each sensor at each acquisition moment; determining the avoiding adjustment value of each sensor at each acquisition moment; and acquiring a temperature variation threshold value at each acquisition moment. The invention aims to solve the problem that the magnetic field intensity of the cyclotron cannot be adjusted according to the actual environment temperature, so that the beam stability and the beam extraction efficiency in the operation process of the medical cyclotron are improved.

The invention provides a flexible temperature-sensitive device based on electrostatic automatic pattern filling, a temperature-sensitive device body comprises a temperature-sensitive material, a flexible substrate material and a packaging layer, the temperature-sensitive material is a temperature-sensitive particulate matter cluster, and temperature-sensitive material powder does not need to be prepared into slurry or ink. An electric field loaded by corona discharge can be deposited on the flexible substrate, the conductive electrode is automatically identified and avoided, and only the non-conductive substrate area is filled. According to the method, the use of an adhesive is avoided, the sensitivity of the flexible temperature-sensitive device is improved, the cost is low, the process is simple, the preparation time of the device is saved, the production efficiency is improved, meanwhile, heat accumulation between the temperature-sensitive device and the skin can be avoided, the measurement error is reduced, and the real and reliable temperature measurement is ensured; the temperature-sensitive device is not sensitive to stress and strain, decoupling of various external signal stimulation is achieved, and the accuracy of measured data of the temperature-sensitive device is improved.

Disclosed is a disinfection lamp with an underwater light projection effect, comprising an upper lampshade, a lower lampshade, a lens lampshade and a tube for containing sustained release chlorine tablets, wherein a circuit board and a battery are arranged on the lens lampshade, a solar panel is mounted on the surface of the upper lampshade, a first light bead is arranged on the lower surface of the circuit board, a light diffuser is arranged at a position, corresponding to the first light bead, of a bottom of the lens lampshade, the first light bead is located in the light diffuser, and the lower lampshade is mounted at the bottom of the lens lampshade. The disinfection lamp can float on water, and the tube containing the sustained release chlorine tablets is immersed in water, such that a conventional water purification, sterilization and disinfection effect is realized.

A package comprises a photonic integrated circuit (PIC) with a modulator having a first modulator input, and a PIC interconnect region within two millimeters or fifty microns from the modulator. Additionally, an electric integrated circuit (EIC) is included with a driver circuit and an EIC interconnect region within two millimeters or fifty microns from the driver circuit. The driver circuit is electrically connected to the first modulator input via the EIC interconnect region, a first metal interconnect, and the PIC interconnect region. The modulator receives a temperature-dependent bias voltage, where the temperature dependence of the bias voltage inversely matches the temperature dependence of the modulator across an extended temperature range.

The invention discloses a converter valve internal temperature monitoring and early warning method and system, and particularly relates to the technical field of converter valve temperature monitoring. Temperature sensors are arranged on a plurality of key heating units, local temperature data are collected in real time, a time sequence is built in combination with cooling water inlet and outlet temperature, a temperature trend prediction model is built based on temperature rise rate and temperature gradient change, local thermal runaway risks are accurately recognized, and a prediction result is compared with a grading threshold value, so that the local thermal runaway risk is determined. Multi-stage early warning signal output is realized, and a corresponding processing strategy is linked; under the extreme conditions that the local temperature is continuously and abnormally increased and the response of the cooling system is lagged, the system can trigger emergency shutdown protection in an override mode, device failure is avoided, the sensing capacity and response speed of local thermal faults are effectively improved, and the operation safety and the intelligent level of the converter valve system are remarkably improved.

The invention provides a power grid cable temperature monitoring and alarming method, device and equipment and a storage medium. The method comprises the following steps: acquiring cable outer sheath temperature data through a temperature sensor and acquiring cable current load data and health condition indexes; calculating the temperature of the conductor according to the temperature data of the outer sheath, the current load data and the environmental parameter data by using a superposition principle calculation model based on time attenuation coefficient correction; according to the cable health condition index, calculating a grading early warning threshold value, and comparing the conductor temperature with the threshold value to determine an early warning grade; and when the early warning level reaches a preset condition, matching the sheath temperature data with a template in an abnormal mode library, identifying an abnormal reason through multiple algorithms, and generating a disposal suggestion in combination with geographic information system data. According to the invention, the conductor temperature can be quickly and accurately calculated, the early warning threshold value is dynamically adjusted, the abnormal reason is intelligently identified, and the accuracy and effectiveness of cable temperature monitoring and early warning are greatly improved.

The invention relates to the technical field of tin-containing copper alloy manufacturing, in particular to a method, system and equipment for detecting the oxygen content of copper alloy melts.The method comprises the steps that resistivity data of the copper alloy melts.The temperature data of the copper alloy melts.The resistivity data of the copper alloy melts.The temperature data of the copper alloy melts.The resistivity data of the copper alloy meltsare acquired in real time; the resistivity data are corrected based on the temperature data, and standardized resistivity irrelevant to the temperature is obtained; a correlation model of the resistivity and the oxygen content is established according to the linear influence relation of oxygen impurities in the copper alloy melt on the resistivity, a real-time oxygen content value is output based on the standardized resistivity, and an oxygen content fluctuation trend is generated; and according to the real-time oxygen content value and the oxygen content fluctuation trend, the oxygen content tolerance threshold value of the copper alloy melt is dynamically adjusted based on the oxygen sensitivity requirements of different alloying stages. By means of the method, the problems that in a traditional oxygen content detection method, due to the fact that temperature distribution is uneven, alloy element interaction and solidification behaviors are not systematically modeled, the detection precision is low, and microstructure control fails are effectively solved.

The invention discloses a glove with a touch sensing function and a dexterous hand, and the glove comprises a glove body, and a plurality of sensor modules and a controller module which are regularly arranged on the glove body; the plurality of sensor modules are regularly arranged on the front surfaces of the palm part, the finger belly part and the fingertip part of the glove body, and the controller module is regularly arranged on the back surface of the palm part of the glove body. The glove is small, light, convenient to carry and suitable for being used in any occasions, the glove body is made of double-layer fabric, devices are all made of flexible materials, and a patient wears the glove comfortably. The glove integrates various sensors, has the function of detecting lateral force, normal force and temperature, can identify various signals of materials, pressure, temperature and the like of a contact object, has important significance on athlete hand function training research, patient rehabilitation training evaluation and the like, and is also suitable for achieving the tactile perception function after a robot dexterous hand is worn.

The invention belongs to the technical field of flexible sensors, and relates to a flexible temperature and pressure dual-mode sensor and array equipment. The temperature and pressure dual-mode sensor comprises a first flexible substrate, a force-sensitive conductive layer, an interdigital electrode layer, a second flexible substrate, a counter electrode layer and a temperature-sensitive layer which are sequentially stacked; the force-sensitive conductive layer comprises a microstructure layer stacked on the first flexible substrate and a conductive layer stacked on the microstructure layer; wherein the material of the microstructure layer comprises flexible resin and expanded microsphere powder, the interior of the microstructure layer is provided with a microsphere micropore structure formed by expansion of expanded microspheres, and the surface of the microstructure layer is provided with a plurality of protrusions and recesses; the temperature-sensitive layer is connected between the two counter electrodes of the counter electrode layer, and the temperature-sensitive layer is made of graphene.

A package comprises a photonic integrated circuit (PIC) with a modulator having a first modulator input, and a PIC interconnect region within two millimeters or fifty microns from the modulator. Additionally, an electric integrated circuit (EIC) is included with a driver circuit and an EIC interconnect region within two millimeters or fifty microns from the driver circuit. The driver circuit is electrically connected to the first modulator input via the EIC interconnect region, a first metal interconnect, and the PIC interconnect region. The modulator receives a temperature-dependent bias voltage, where the temperature dependence of the bias voltage inversely matches the temperature dependence of the modulator across an extended temperature range.

A temperature control device includes a temperature detector, a difference operation unit, a controller, a saturation processing circuit unit, a rewritable storage unit, and a conversion unit. The difference operation unit operates a digital value corresponding to a difference value between a detected temperature value and a target temperature. The controller calculates a manipulated variable using the digital value operated by the difference operation unit. The saturation processing circuit unit includes a digital circuit to limit an output value of the controller to a pre-set upper limit value. The rewritable storage unit stores the upper limit value read from a storage area of the rewritable storage unit and input into the saturation processing circuit unit. The conversion unit converts the output value of the saturation processing circuit unit into an analog signal to output the converted value as a control command value to the heater.

The invention relates to the technical field of wire performance detection, and discloses a wire high temperature resistance detection method, device and equipment and a storage medium. The method comprises the following steps: arranging micro thermocouple array sensors on the surface, the bending part and the connecting point of an outer insulating layer of a to-be-measured wire rod to obtain a wire rod temperature monitoring network; placing the to-be-tested wire rod in a constant-temperature box to execute a high-temperature cyclic loading test, and collecting real-time temperature response data of the to-be-tested wire rod; carrying out temperature gradient analysis and heat distribution characteristic calculation to obtain a temperature change characteristic parameter set; executing temperature fluctuation compensation and thermal stress accumulation calculation to obtain thermal stress characteristic parameters; and carrying out aging characteristic analysis on the wire insulating material through the thermal stress attenuation network model to obtain wire predicted life and failure probability distribution of the to-be-tested wire in a high-temperature environment. The method can comprehensively capture the temperature change characteristics of each part of the wire rod, and achieves the precise prediction of the failure probability of the wire rod under different temperature conditions.

The invention relates to the field of power system intelligent monitoring, and discloses a surface temperature sensor and a cable joint temperature monitoring system, and the system comprises the surface temperature sensor which is used for obtaining the temperature data of a cable joint, and transmitting the data to a data processing module; the data processing module is used for receiving the temperature data from the surface temperature sensor, storing the temperature data, formatting the received temperature data, removing invalid data and preliminarily screening abnormal values; and the temperature modeling module is used for calculating temperature distribution of the cable joint based on a heat conduction model, and establishing a temperature distribution model of the cable joint through a heat conduction equation in combination with the effective data output by the temperature data preprocessing module. According to the method, an optimization technical scheme combining Fourier transform and dimension reduction calculation is adopted, efficient processing and analysis of temperature data are achieved, the system response speed is increased, and the method is more efficient especially in a large-scale data processing environment.

The invention discloses an electricity meter terminal temperature anomaly identification method, system and device and a storage medium, and relates to the technical field of intelligent electricity meter monitoring and anomaly detection.The method comprises the steps that currents of a live line loop and a zero line loop of an intelligent electricity meter are sampled, and the deviation rate of the live line current relative to the zero line current is calculated; estimating the temperature of the terminal of the electric energy meter based on the deviation rate and by using the resistance characteristic metering error change trend of the manganese-copper shunt; and when the terminal temperature estimated value of the electric energy meter exceeds a preset threshold value, determining that the temperature of the live wire terminal is abnormal, and recording an alarm event. The method realizes real-time acquisition of current difference characteristics, provides a reliable data basis for subsequent terminal temperature estimation, realizes a method of indirectly reflecting terminal temperature rise through electrical characteristics, ensures that alarm can be triggered and a complete tracing chain can be formed when temperature abnormity occurs, and improves the accuracy of terminal temperature estimation. Therefore, the controllability of the operation safety of the electric energy meter and the completeness of post analysis are improved.

The invention relates to a high-precision temperature sensor based on complementary dynamic element matching and a zoom analog-to-digital converter and a working method, and belongs to the technical field of sensor improvement, and the sensor comprises an analog front end, an analog-to-digital converter, a digital rear end and a control logic. An improved chopping technology is adopted, and one clock signal is adopted to control two sub operational amplifiers, so that the output stability and precision of the analog front end are improved. A complementary dynamic element matching technology is utilized, errors caused by voltage drop at the two ends of a switch are reduced, the influence of channel charge injection is counteracted, a scaling type analog-to-digital converter design is provided for an analog-to-digital conversion part, and balance among power consumption, speed and precision is achieved. According to the method, a 10-bit successive approximation register analog-to-digital converter is used for measuring a numerical value and a change trend, and the numerical value and the change trend are analyzed, so that the expression effects of a current mirror structure, a transistor, a filter and the like are evaluated, the aging of the transistor is found in advance, and a clear direction is provided for future design improvement.

The invention discloses a high-temperature surface contact thermal resistance elimination method based on double thermocouple compensation, and belongs to the technical field of material thermal property characterization and testing. The method comprises the following steps: synchronously acquiring double-thermocouple temperature, and obtaining a temperature difference signal through filtering calibration and environment correction; calculating the real-time heat flux density according to the corrected temperature difference, the Seebeck coefficient and the dynamic correction factor; establishing a nonlinear dynamic coupling model containing contact thermal resistance parameters, and performing temperature interval division; identifying a contact thermal resistance parameter on line by adopting a self-adaptive recursive least square algorithm, and generating a dynamic thermal resistance compensation value; and applying the compensation value to a double-thermocouple signal according to the weight, and outputting accurate high-temperature surface temperature. According to the method, data acquisition and preprocessing, dynamic heat flow correction, nonlinear segmented modeling, self-adaptive online identification and refined compensation output strategies are adopted, the influence of high-temperature surface contact thermal resistance can be effectively eliminated, and the accuracy and reliability of temperature measurement in the high-temperature environment are remarkably improved.

The invention discloses a platinum resistor high-precision temperature measuring device capable of automatically identifying a wiring mode. The platinum resistor high-precision temperature measuring device comprises a power supply module, a signal detection module, an isolation module, a signal processing module and a cold end temperature measuring module. The power supply module supplies power to the signal detection and processing module. The signal detection module comprises a sensing probe, a wiring identification circuit, a constant current source, a measuring circuit and an analog-to-digital conversion circuit. The sensing probe measures the measured temperature, the wiring identification circuit automatically judges a two-wire system, a three-wire system or a four-wire system and feeds back a result, the constant current source provides positive and negative constant current excitation, and the measuring circuit collects and processes feedback voltage and then sends the feedback voltage to the analog-to-digital conversion circuit. The analog-to-digital conversion circuit is connected with the signal processing module through the isolation module, and the signal processing module calls a corresponding algorithm according to a wiring identification result and outputs final temperature data. According to the invention, high-precision temperature measurement at the grade of + / -0.02 DEG C can be realized in the range of-200 DEG C to 850 DEG C under the three / four-wire system and low-speed sampling conditions.

The invention relates to the technical field of industrial temperature measurement, in particular to a high-temperature heating body hearth temperature distribution measurement method, which comprises the following steps of: establishing a quantitative mapping relation model between real-time input electric power and theoretical heating intensity of a heating body; a limited number of temperature sensor arrays are arranged at key positions of the internal space of the hearth; synchronously acquiring a real-time temperature measurement value of the temperature sensor array and real-time input electric power data of the heating body; calculating and generating theoretical temperature field distribution covering the three-dimensional geometric model; obtaining a corrected temperature value; calculating the temperature residual error of the corrected temperature value and the theoretical temperature field distributed at the corresponding position of the sensor; expanding the discrete temperature residual error into a full-space three-dimensional residual error distribution field; and outputting the three-dimensional real-time temperature distribution field of the hearth. Dynamic lag compensation and convective heat transfer compensation algorithms are adopted, lag and errors in measured values can be corrected in real time, and it is ensured that measured data at high temperature have high response speed and accuracy.

A package comprises a photonic integrated circuit (PIC) with a modulator having a first modulator input, and a PIC interconnect region within two millimeters or fifty microns from the modulator. Additionally, an electric integrated circuit (EIC) is included with a driver circuit and an EIC interconnect region within two millimeters or fifty microns from the driver circuit. The driver circuit is electrically connected to the first modulator input via the EIC interconnect region, a first metal interconnect, and the PIC interconnect region. The modulator receives a temperature-dependent bias voltage, where the temperature dependence of the bias voltage inversely matches the temperature dependence of the modulator across an extended temperature range.

An instrumented blanket includes an insulative material and a temperature control structure integrated with the insulative material. The heating structure is configured to produce a heat or a cooling output in response to an input signal. The temperature-control blanket further includes an optical sensor including an optical fiber integrated with the insulative material along the heating structure. The optical sensor is configured to detect a change in an optical property measured from a plurality of intervals along a length of the optical fiber. The change in the optical property is indicative of a temperature of the temperature-control blanket at a respective interval of the plurality of intervals.