847results about "Thermometer testing/calibration" patented technology

The invention provides a semiconductor chip automatic test optimization system, and belongs to the technical field of electrical variable measurement. Comprising an acquisition module used for establishing an electrical variable time sequence arranged according to a time sequence, a drift analysis module used for calculating a short-time fluctuation amplitude value, a long-term drift slope and a high-frequency noise amplitude value based on the impedance time sequence arranged according to the time sequence, and a contact judgment module. The evaluation module is used for constructing a contact impedance coefficient based on a short-time fluctuation amplitude value, a long-term drift slope and a high-frequency noise amplitude value in a jth sliding window, and evaluating and optimizing the contact impedance coefficient, and the data marking module is used for marking electrical variable measurement data corresponding to a test channel which is evaluated to be instable in contact as low confidence. According to the system, the ith test channel of the temperature sensor chip can be tested more accurately, the short-time fluctuation amplitude value, the long-term drift slope and the high-frequency noise amplitude value are calculated at the same time, multi-source data participates, and the test accuracy is improved.

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.

The invention discloses a thermal control instrument fault self-diagnosis system based on multi-source data fusion, and relates to the technical field of prediction and health management. The thermal control instrument fault self-diagnosis system based on multi-source data fusion comprises the following steps: a data collection and arrangement module used for collecting thermal control state data in real time and preprocessing the thermal control state data; the feature construction and extraction module is used for performing thermal deviation anomaly judgment on the preprocessed thermal control state data; the state intelligent evaluation module is used for performing temperature trend comparison on the thermal control state data after the thermal deviation abnormity judgment; the diagnosis linkage control module is used for fusing thermal deviation abnormity judgment and a temperature trend comparison result to execute control and participate in adjustment; and the result displaying and filing module is used for sorting and recording the measuring point diagnosis result and the processing state. The problems that false alarm is caused by wall temperature thermocouple signal drifting and abrupt change, fusion analysis of adjacent measuring points and operation states is lacked, and real overheating and instrument faults are difficult to distinguish are solved.

The invention discloses a temperature measurement sensor data processing method and system in a chemical synthesis environment. The method comprises the steps of original data acquisition and preprocessing, sensor drift compensation, dynamic response optimization and anomaly detection and adaptive calibration. The system comprises an original data acquisition and preprocessing module, a sensor drift compensation module, a dynamic response optimization module and an anomaly detection and adaptive calibration module. Through multi-module deep fusion of LSTM drift compensation and adaptive Kalman filtering, + / -0.5 DEG C measurement precision is realized in a range of 80-300 DEG C; the MPC predictive control compresses the thermal inertia lag of the sensor from 500ms to less than or equal to 80ms, so that the sudden rising / dropping temperature in the synthesis reaction can be effectively captured, and the product decomposition caused by local overheating is avoided; isolated forest anomaly detection and least square calibration are combined, so that the maintenance period of the sensor in a strong corrosion environment is prolonged from 7 days to 90 days, and the annual maintenance cost is reduced by 65%.

The invention discloses a power equipment temperature monitoring and early warning system and method based on wireless communication, and relates to the technical field of temperature monitoring, the system comprises a wireless temperature measurement terminal box and a mobile terminal APP, the wireless temperature measurement terminal box and the mobile terminal APP establish communication connection based on a wireless network, and the wireless temperature measurement terminal box is fixedly installed on power equipment; the wireless temperature measurement terminal box comprises an electromagnetic environment judgment module which monitors and judges whether interference exists in the environment where power equipment is located in real time based on an electromagnetic sensor and synchronizes a result into a temperature drift compensation analysis module; and the temperature monitoring module monitors temperature data in the power equipment in real time based on a temperature sensor. Through electromagnetic environment judgment and temperature drift compensation, historical data and a model are combined to dynamically correct interfered temperature data, the influence of electromagnetic interference is eliminated, real-time monitoring is matched with graded alarm, hidden dangers can be found in time, response can be made according to risk grades, accidents are avoided, and wireless connection adapts to complex scenes.

The invention provides a cabinet three-dimensional temperature field monitoring method and device, and the method comprises the steps: arranging four temperature sensors at the positions of left and right columns at the rear part of a cabinet and the left and right middle positions of the rear side of the top of the cabinet respectively, and forming vertical and horizontal coordinate distribution points covering a key heat distribution region of the cabinet; collecting temperature data of the four temperature sensors at preset coordinate positions, and inputting the temperature data into a three-dimensional temperature field reconstruction algorithm model; processing the temperature data by adopting a bilinear interpolation method, and calculating the temperature value of any position in the cabinet; and according to a hot air convection rule, introducing height direction temperature gradient correction into the three-dimensional temperature field reconstruction algorithm model so as to eliminate the influence of heat convection on a temperature monitoring result. The three-dimensional temperature distribution in the cabinet can be accurately reflected, the temperature monitoring precision and real-time performance are improved, and the installation and maintenance cost is reduced.

The invention provides a thermocouple temperature measurement adaptive anti-interference method and system applied to an instrument, and relates to the technical field of temperature measurement and control, and the method comprises the steps: obtaining an original thermocouple temperature measurement signal generated by a thermocouple body, carrying out the cold end compensation of the original thermocouple temperature measurement signal, and obtaining a standard thermocouple temperature measurement signal; respectively processing the standard thermocouple temperature measurement signals to obtain corrected thermocouple temperature measurement signals; the corrected thermocouple temperature measurement signal and the closed-loop manipulated variable are used as observed quantities to be input into the extended state disturbance model, an unknown equivalent disturbance quantity corresponding to the corrected thermocouple temperature measurement signal is obtained, and a predicted temperature deviation value and a predicted equivalent disturbance quantity are obtained through an extended state observer; and dynamically adjusting the gain of the PID controller by using a fuzzy self-tuning algorithm, carrying out superposition processing on the PID control quantity and the compensation quantity corresponding to the predicted equivalent disturbance quantity, and compensating the temperature controller by using a temperature regulation and control instruction. According to the invention, the steady-state disturbance suppression capability and the response speed can be improved.

The invention provides a temperature sensor data calibration method and system, and relates to the technical field of sensor calibration, and the method comprises the steps: collecting a time sequence voltage sequence of a to-be-calibrated temperature sensor under the excitation of a temperature step; calculating a gradient change rate of the time sequence voltage sequence to obtain a dynamic response characteristic of the to-be-calibrated temperature sensor; based on the gradient change rate, the dynamic response asymmetry degree of the temperature sensor to be calibrated under temperature step excitation is calculated; establishing a thermal inertia evolution equation of the temperature sensor to be calibrated according to the dynamic response asymmetry degree; the theoretical lag amplitude of the temperature sensor to be calibrated is corrected with the trend of the thermal inertia evolution equation to be stable as the target, and the actual lag amplitude is obtained; obtaining the original measurement temperature of the target temperature by the temperature sensor to be calibrated; and correcting the original measurement temperature in combination with the actual lag amplitude and the dynamic response asymmetry degree to complete data calibration of the temperature sensor to be calibrated. And the measurement precision of the temperature sensor in a complex temperature change scene is improved.

The invention relates to the technical field of cable monitoring, and discloses a cable joint temperature monitoring method and a cable joint, and the method comprises the steps: obtaining the real-time insulating layer temperature data of the cable joint based on a miniature temperature sensor, and obtaining the real-time environment data of the cable joint based on an auxiliary sensor; comparing the real-time insulating layer temperature data with a real-time environment temperature value, and determining the thermal radiation direction of the cable joint; determining a temperature difference value between the real-time insulating layer temperature data and the real-time environment temperature value, and determining a predicted temperature value of the conductor crimping layer according to the temperature difference value based on the heat radiation direction; determining a predicted temperature change rate of the conductor crimping layer according to the predicted temperature value; the real-time load current of the cable connector is obtained, and the real-time temperature change rate is determined; and determining a difference ratio between the predicted temperature change rate and the real-time temperature change rate, and judging whether the temperature monitoring of the cable joint is abnormal or not. According to the invention, accurate temperature prediction and reliable abnormity judgment of the cable joint are realized.

The invention provides a battery temperature monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of temperature monitoring, and the method comprises the steps: obtaining a temperature prediction curve through a battery temperature prediction model; collecting a first temperature measured value through a target temperature sensor, and calculating a temperature difference value between the first temperature measured value and the temperature predicted value; setting a target temperature sensor to be in a standard sampling period mode or a variable sampling period mode according to a preset condition, and when the target temperature sensor is in the variable sampling period mode, calculating a calculation temperature change curve of an adjacent temperature sensor; acquiring a second temperature actual measurement value of each adjacent temperature sensor to form an actual measurement temperature change curve; judging whether the target temperature sensor fails or not according to the calculated temperature change curve and the actually measured temperature change curve; and when no fault exists, the temperature fluctuation rate is calculated, and the sampling frequency is adjusted according to the temperature fluctuation rate and the temperature difference value. The technical problem of how to reduce the energy consumption of the sensor and ensure the reliability of temperature monitoring at the same time is solved.

The invention discloses a high-precision temperature measurement system and device suitable for profound hypothermia. The high-precision temperature measurement system comprises an excitation module, an acquisition calibration module and a signal processing module. The excitation module is connected between the signal processing module and the acquisition calibration module, generates an excitation signal according to a control signal of the signal processing module, and transmits the excitation signal to the acquisition calibration module; the acquisition and calibration module comprises a temperature acquisition unit and a calibration unit, and the temperature acquisition unit is used for accessing an external temperature sensor and outputting a corresponding original electric signal; the calibration unit is connected to the excitation loop and outputs a standard calibration signal; the signal processing module receives the original electric signal or the standard calibration signal output by the acquisition calibration module, processes the original electric signal or the standard calibration signal, and outputs an excitation control signal to the excitation module to adjust parameters of the excitation signal; and meanwhile, a mode control signal is output to the acquisition and calibration module so as to switch the working mode of the temperature acquisition unit or the working mode of the calibration unit. According to the invention, the accurate measurement requirement of the profound hypothermia + / -0.001 K can be met.

The invention discloses an XBT-T5 observation data deviation analysis and temperature correction method, and relates to the technical field of ocean observation, and the method comprises the steps: obtaining the original temperature observation data of a target sea area based on an XBT-T5 front-end temperature sensor, calculating the depth, generating a temperature-depth profile, and constructing a temperature-depth database in combination with historical depth observation archive data; the method comprises the following steps: synchronously acquiring temperature and depth data by using a CTD temperature-salinity-depth instrument, and carrying out association pairing with a temperature-depth database to generate an XBT-T5 observation data deviation field under the same spatial-temporal scale; based on generation of an XBT-T5 observation data deviation field under the same spatial-temporal scale, designing a dual-channel adaptive encoder, and constructing a temperature-depth collaborative correction model; and according to the temperature-depth collaborative correction model, coupling the temperature-depth database and generating an XBT-T5 observation data deviation field under the same spatial-temporal scale, thereby realizing XBT-T5 observation data deviation analysis and temperature correction. The method improves the quality and application value of observation data.

The invention discloses a distributed optical fiber temperature measurement verification device and method.The device comprises a constant temperature device, a lifting device, a measurement and control host and automatic verification software, the constant temperature device comprises a constant temperature bath and a constant temperature control device, the constant temperature bath comprises a mixing area and a working area, the lifting device drives a test tool to ascend and descend, and the test tool fixes a temperature measurement optical cable; the temperature measurement optical cable is connected with the temperature measurement host, the temperature measurement host feeds back a temperature measurement value to the measurement and control host, the measurement and control host compares the measurement value with a temperature value of a medium in the constant temperature device, and distributed optical fiber temperature measurement verification is achieved. The method passes a temperature measurement range and accuracy test; performing a temperature resolution test; performing a spatial resolution test; testing positioning accuracy; a single-channel test time test comprises six tests, data are automatically collected and analyzed, and a verification report is generated. The device is reasonable in structural design and high in universality, automatic control over the verification process is achieved, data collection, analysis, calculation and report generation are all automatically completed, and verification efficiency is improved.

The invention relates to the technical field of sensors, in particular to a passive wireless temperature sensing method for a high-temperature strong electromagnetic interference environment. Comprising the following steps that a temperature signal is collected through a sensing circuit, and the sensing circuit comprises an inductor and a capacitor; obtaining a resonance signal by utilizing magnetic coupling of a reading circuit and the sensing circuit; processing the resonance signal to obtain a temperature measurement value; the resonant frequency is dynamically corrected by considering the coupling effect of the temperature, the coil line width thermal expansion, the parasitic capacitance temperature coefficient and the working frequency; the mutual inductance coefficient is compensated by considering the cooperative influence of the magnetic conductivity, the loss angle tangent and the coupling distance; errors caused by electromagnetic interference are corrected through beat frequency characteristics of the electromagnetic interference frequency and the resonant frequency, and the multi-physical-field coupling influence under the high-temperature and strong-electromagnetic-interference environment can be dealt with.

The invention relates to the technical field of temperature sensors, in particular to a temperature sensor dynamic response acceleration method and system for medical liver testing, and the method comprises the steps: collecting an original temperature measurement sequence outputted by a main temperature sensor in a first target region in real time, synchronously acquiring a reference temperature sequence output by a reference temperature sensor located in a second target area; and based on the physical characteristics of the main temperature sensor and the heat exchange characteristics of the liver tissue, constructing a sensor and liver tissue dynamic response model containing key dynamic parameter vectors. The dynamic response model of the sensor and the liver tissue is constructed, the dynamic characteristics of the sensor and the tissue in the current environment can be accurately quantified, thermal inertia and conduction delay are actively compensated from the algorithm level through the model inverse function, the real-time performance of temperature monitoring is remarkably improved, and the temperature monitoring accuracy is improved. And a timely and reliable feedback signal is provided for closed-loop control.

The invention belongs to the technical field of semiconductor testing, and discloses a thermistor performance monitoring method and system based on a power module reliability test. The method comprises the following steps: configuring a pin connection structure electrically connected with a thermistor lead on a test burn-in board for a high-temperature, high-humidity and high-voltage reverse bias test; in the process of executing a high-temperature, high-humidity and high-voltage reverse bias test on the power module comprising the thermistor, a lead of the thermistor is electrically connected with a preset current detection loop through the pin connection structure, so that monitoring current flowing through the thermistor is received by the current detection loop, and thermistor performance monitoring is executed. According to the application, the problem that the self degradation risk of the thermistor cannot be monitored in real time in the H3TRB test process to cause a monitoring blind area can be solved, the whole-process monitoring of the performance fluctuation of the thermistor in the strong electric field and high humidity coupling environment is realized, and the integrity of the reliability evaluation of the power module and the safety of the test system are remarkably improved.

A thermal measurement system enables high-resolution sub-surface temperature monitoring during additive manufacturing processes through machine learning demodulation of chirped fiber Bragg grating (C-FBG) sensors. An optical sensing subsystem includes a C-FBG sensor that encodes spatial temperature information in wavelength for high-temperature operation. A neural network model transforms complex reflection spectra into spatial temperature profiles with micrometer-scale resolution, overcoming limitations of traditional demodulation methods. A calibration subsystem generates synchronized spectral and thermal imaging data for training the neural network using controlled thermal profiles. The system captures steep thermal gradients and rapid cooling rates during laser powder bed fusion operations. A fiber embedding technique maintains the sensor in a strain-free condition at controlled sub-surface depths. The integration of high-temperature C-FBG sensors with machine learning signal processing achieves significant improvement in spatial resolution compared to traditional fiber optic thermal measurement approaches.

The invention discloses a matrix type temperature detection system and method based on temperature-sensitive diodes, the problems of complex wiring and large temperature drift of a traditional multi-node temperature measurement system are solved through M * N matrix layout, row and column time-sharing gating and constant current driving technologies, the system adopts an independent column constant current source to ensure the measurement consistency, and a high-precision ADC and a dynamic calibration algorithm are combined, so that the measurement accuracy is improved. And the precision of + / -0.2 DEG C is realized within the range of 50-150 DEG C. The method is particularly suitable for high-density temperature measurement scenes such as battery thermal management, electronic equipment overheating monitoring and the like.

The invention provides a thermometer multi-point temperature measurement and fluctuation analysis method, and relates to the technical field of data processing, and the method comprises the steps: dividing adjacent temperature measurement positions into continuous position groups, pairing temperature values in each continuous position group into a combined record, recognizing the size relation and the change amplitude range of the temperature values in each combined record, and determining the temperature values in each combined record; calculating the change intensity degree of the combination of adjacent temperature measurement positions to obtain a combination fluctuation value, dividing a continuous interval in which the combination fluctuation value is kept consistent in the numerical value change direction into independent sections, calculating the overall fluctuation aggregation degree of the independent sections to obtain an aggregation intensity value, and calculating the overall fluctuation aggregation degree of the independent sections; and selecting a chain segment of which the aggregation intensity value reaches a preset aggregation threshold value from each chain structure, marking the temperature measurement position of the chain segment as a fluctuation region, and analyzing the fluctuation distribution form and the fluctuation expansion range of each fluctuation region to obtain analysis result data. The spatial structure expression of the temperature data can be realized, and the situation that the temperature fluctuation of multiple measuring points cannot be captured at the same time is avoided.

The invention discloses a full-automatic verification system of a temperature sensor, and relates to the technical field of temperature sensor verification, in the system, a main control computer is used for reading a verification scheme, controlling a collaborative robot to install a detected temperature sensor to a tool, and controlling the collaborative robot to transfer the tool provided with the detected temperature sensor into a thermostatic bath; the thermostatic bath provides a thermostatic environment through bath liquid, and the temperature of the bath liquid is monitored in real time through a temperature standard device; the acquisition system is used for acquiring an output signal of the detected temperature sensor transferred into the thermostatic bath and converting the output signal into a temperature value under the control of the main control computer; the main control computer is further used for comparing the temperature value measured by the detected temperature sensor with the standard temperature value measured by the temperature standard device and determining whether the detected temperature sensor is qualified or not according to the comparison result. According to the invention, the verification efficiency can be effectively improved, and the high-efficiency verification requirement of a large batch of temperature sensors can be met.

The present disclosure relates to a charging-discharging system comprising: a charging-discharging device defining a detachable space in which one or more battery cells are detachably disposed and charging and discharging the battery cells; and a calibration device detachably disposed in the detachable space. The charging-discharging device and the calibration device are referred to with reference to the contents described in the present specification.

The invention discloses a PT100 temperature measurement circuit and method for multi-gear current fitting resistance measurement and ADC online calibration. In order to solve the problem that a PT100 precise temperature measurement system does not have the self-checking capability, an ADC calibration reference resistance network formed by a plurality of precise resistors is utilized, a plurality of reference voltage points are provided, gain drift, offset change and linear deviation can be detected in real time and compensated, and online self-calibration and state monitoring of an ADC in the whole experiment process are achieved. Through error compensation, the overall error is reduced by about 70%. For a PT100 precision temperature measurement system, a fixed current value is usually adopted to measure the resistance, which is easy to interfere; and due to the influence of self-heating factors, the finally measured resistance value is not accurate, and the like. According to the method, multi-gear constant current excitation and a least square resistance fitting method are combined, noise and nonlinear errors are effectively restrained, the resistance measurement precision and the temperature measurement precision of PT100 are greatly improved, and the temperature deviation is controlled within the range of + / -0.03 DEG C to 0.04 DEG C.

The invention belongs to the technical field of data processing, and discloses a Mars probe temperature monitoring method and system based on time control factor optimization, and the method comprises the steps: obtaining simulated fire soil, and carrying out the screening processing and dense state preparation processing, and obtaining a plurality of relatively dense state samples; performing simulated temperature monitoring on the plurality of samples in the relatively dense state to obtain a plurality of temperature-time curves, and performing piecewise linear fitting to obtain thermal response characteristics of the simulated fire soil; performing optimal monitoring time period analysis and optimal monitoring duration analysis according to the thermal response characteristics to obtain an optimal passive monitoring time window and duration strategy; and determining target to-be-monitored fire soil, and performing real temperature monitoring on the target to-be-monitored fire soil according to the optimal passive monitoring time window and the duration strategy to obtain an optimal temperature monitoring result. According to the invention, the temperature of the fire soil to be measured can be accurately monitored, so that the assessment precision of the passing ability of the Mars rover is effectively improved, and the driving safety of the Mars rover is ensured.

The invention provides a thermocouple assembly for measuring the temperature of a pipeline and a measuring method, and belongs to the technical field of industrial temperature measurement, the thermocouple assembly comprises a pipe clamp and a thermocouple measuring instrument, the pipe clamp comprises a first clamping arm and a second clamping arm, and is configured to clamp the outer wall of the pipeline; a first metal sheet and a second metal sheet which are made of different materials are arranged on the clamping surface of the first clamping arm at intervals; a third metal sheet and a fourth metal sheet which are made of different materials are arranged on the clamping surface of the second clamping arm at intervals; when the pipe clamp is clamped on the surface of a pipeline, the measuring end of each metal sheet is in contact with the pipeline to form a first thermocouple measuring junction, a second thermocouple measuring junction and a third thermocouple measuring junction; the thermocouple measuring instrument is configured to collect thermocouple signals of the thermocouple measuring nodes and indicate temperature values of corresponding positions of the pipeline according to the thermocouple signals. According to the thermocouple assembly, the temperatures of multiple measuring points can be measured synchronously, and the convenience and accuracy of pipeline temperature measurement are greatly improved.

Measuring device (100) for measuring a resistance-dependent measured quantity (T) on or in an optical system (10) of a lithography system (1), comprising: a current source (106) for generating a measuring current (I), a measuring line branch (114) and a reference line branch (116), a switching unit (118) for selectively connecting the power source in a reference switching position (120) to the reference line branch or in a measuring switching position (122) to the measuring line branch, a connection unit (126) arranged on the measuring line branch for optionally connecting a measuring resistor (104) or at least one calibration component (128, 130) electrically, a reference resistor (132) arranged on the reference line branch, a voltage sensing unit (136) for sensing a voltage (U R , U M) optionally on the reference line branch or the measuring line branch, and a control unit (112) for determining a parasitic resistance value (R) P ) the measuring device based on a reference voltage (U) detected in the reference switching position (120). R ) and a measured voltage (U) detected in the measuring switching position (122) in which one of the at least one calibration component (128, 130) is connected to the connection unit (126). M ).

The invention provides a three-dimensional rotary table with an internal heat source and a high-precision temperature calibration function, which comprises a working table top, a pitching device, a rotating device, a lifting device and a base, and is characterized in that the pitching device comprises a driving shaft fixedly connected with the bottom of the working table top and a pitching driving assembly for driving the driving shaft to swing; the rotating device comprises a rotating plate fixedly connected with the pitching driving assembly and a rotation driving assembly driving the rotating plate to rotate, and the lifting device comprises a lifting table fixedly connected with the rotation driving assembly and a lifting driving assembly fixedly arranged on the base. The three-dimensional rotary table further comprises a hot air gun and a high-precision surface source black body, wherein the hot air gun is fixedly arranged below the working table top, and an air outlet of the hot air gun is aligned with the working table top. Heating and temperature calibration of a measured object are achieved through the integrated internal heat source and the high-precision surface source black body, the space utilization rate and the load capacity are improved through the modular layered design, meanwhile, the disassembly and assembly maintenance space is sufficient, and the maintenance cost is reduced.

The invention provides a distributed optical fiber temperature measurement method and device, electronic equipment and a storage medium, and belongs to the technical field of optical fiber detection. Multi-dimensional data acquisition including light source power fluctuation data, detector dark current data, optical fiber loss distribution data and environment temperature and humidity data is realized; preprocessing the collected multi-dimensional data, constructing a light source power drift model and a detector sensitivity drift model, and fitting model parameters; and calculating a corresponding error correction coefficient based on the light source power drift model and the detector sensitivity drift model, correcting the ratio of anti-Stokes light intensity to Stokes light intensity of Raman scattering in combination with a dynamic correction result of an optical fiber attenuation coefficient by environment temperature and humidity data, and outputting calibration temperature data. Therefore, on the basis of the Raman scattering technology, light source power fluctuation and detector sensitivity drift core errors are eliminated through a multi-dimensional error compensation model, and the temperature measurement precision is improved.

The invention discloses an outdoor power equipment temperature abnormity monitoring method, device and equipment, and the method comprises the steps: carrying out the calibration processing of power equipment temperature data collected based on a dynamic collection frequency through employing a preset calibration algorithm, and obtaining the calibration temperature data; performing temperature anomaly analysis according to the calibration temperature data based on the temperature threshold, the trend threshold, the mutation mechanism and the baseline standard, and generating an anomaly analysis data packet; sending the abnormal analysis data packet to a relay gateway according to a spread spectrum technology and a check retransmission mechanism, so that the relay gateway performs data aggregation and protocol conversion processing based on an abnormal priority to obtain a transmission data packet; and triggering different temperature early warning mechanisms through the cloud platform according to the abnormality level in the received transmission data packet to realize temperature abnormality early warning. The technical problems of lack of timeliness, accuracy and remote control capability of monitoring due to lack of timeliness, weak data acquisition anti-interference capability and easy loss in the data transmission process in the prior art can be solved.

The invention relates to the technical field of temperature calibration, in particular to a temperature calibration method and a temperature calibration tool. The method comprises the steps of collecting an initial environment temperature; taking the initial environment temperature as a starting point, and generating a plurality of temperature rise target temperatures according to a preset temperature rise step length and a preset number of temperature rise segments; controlling the temperature of the heating plate to rise to each temperature rise target temperature, and collecting the detection temperature output by the temperature detection system and the real temperature of the heating plate under the condition that the temperature rises to the temperature rise target temperature each time; and fitting the detected temperature and the real temperature to obtain a fitting model, and carrying out data calibration on the temperature detection system by adopting the fitting model. According to the method, the calibration model is generated by fitting the detection data and the real data, thermal resistance change of the probe caused by different packaging processes and nonlinear deviation caused by accuracy reduction at high temperature can be accurately calibrated, and the measurement precision of a temperature detection system is improved.

The invention belongs to the technical field of electric furnace temperature monitoring, and particularly discloses a distributed optical fiber temperature measurement calibration and early warning method avoiding interference of an electric furnace cooling pipe. The influence of the cooling pipe on the temperature sensing point is quantified according to the heat flux density ratio between the temperature sensing point and the cooling pipe, and the interfered temperature sensing point is screened based on the influence; the fitting temperature of the interfered temperature sensing point is corrected based on heat conduction loss or flow deviation of the cooling pipe; identifying peak temperature sensing points, and removing temperature sensing points with the gradient of the peripheral thermal field lower than a peak threshold in the heat affected area of the cooling pipe; performing early warning judgment based on the temperature rise rate of the peak temperature sensing point and a dynamic early warning threshold value; noise data in early warning judgment is eliminated based on the simulated heating rate; and finally, a temperature change curve of each temperature sensing point is smoothed based on the heat flow conservation constraint of the thermal field. According to the method, accurate monitoring of the electric furnace temperature under the influence of the electric furnace cooling pipe is achieved, and powerful support is provided for efficient production and safe operation of the electric furnace.