4860 results about "Temperature sensing" patented technology

The invention discloses a PUF (Physical Unclonable Function) key generation and equipment identity authentication system for a cold chain environment, and particularly relates to the technical field of information security, comprising temperature change data perception, drift modeling, dynamic error correction and closed-loop optimization, and collecting original response data of PUF hardware and temperature sensor readings by simulating the cold chain environment in a temperature-controllable experiment module; learning a nonlinear mapping relation between the dynamic temperature change and PUF response drift, and outputting a drift compensation matrix; constructing a two-stage error correction mechanism based on the drift compensation matrix; the first-stage error correction unit carries out nonlinear calibration on the original PUF response sequence according to the drift compensation matrix; the second-stage error correction unit adopts a temperature sensing type reconfigurable LDPC coding architecture, an LDPC check matrix is obtained based on a temperature-drift joint constraint model, the error correction performance of a high-drift scene is optimized through the LDPC check matrix, and the problem of key instability caused by PUF hardware response drift in a cold chain environment is solved.

A floating thermometer with a disinfection device includes a shell, a temperature sensing device and a display device. An upper part of the shell is provided with a sealed first accommodating chamber, first accommodating chamber is arranged with a control device. A lower part of the shell is provided with a second accommodating chamber and a first through hole connected to the second accommodating chamber. The temperature sensing device is located on surface of the shell and electrically connected to the control device. The temperature sensing device is configured to be immersed in water to detect water temperature, generate an electrical signal, and transmit the electrical signal to the control device. The display device is located on upper surface of the shell and electrically connected to the control device. The control device receives the electrical signal and controls the display device to show temperature.

The invention relates to the technical field of spraying process control, and discloses a spraying process self-adaptive adjustment method based on temperature measurement. The method comprises the steps that target coating parameters and base material physical property data are obtained, and initial spraying control parameters are generated through a first intelligent calculation model in combination with historical process data and real-time environment monitoring data; when spraying is executed, heat distribution data of a spraying area are collected in real time through a temperature sensing device, and according to the difference between the heat distribution data and a preset target temperature interval, technological parameters are dynamically corrected through a first self-adaptive regulation and control algorithm; meanwhile, a machine vision system is used for capturing actual coating morphological characteristics, and after the actual coating morphological characteristics are compared with target parameters, excitation parameters are adjusted in a partitioned mode through a second self-adaptive regulation and control algorithm so as to optimize uniformity; and collecting whole-process data, comprehensively evaluating the whole-process data through the second intelligent calculation model to generate a process optimization instruction, and updating the first intelligent calculation model and the first self-adaptive regulation and control algorithm parameters according to the process optimization instruction.

The invention discloses a temperature-sensing cable alarm test method and device based on the Internet of Things, and relates to the technical field of temperature-sensing cable monitoring. Voltage, current and frequency fluctuation models are constructed based on real-time temperature data to simulate a high-voltage impact scene, temperature over-limit and response lag conditions are effectively identified, temperature change is monitored through real-time slope, and the temperature-sensing cable alarm test method and device based on the Internet of Things are obtained. The method can respond to timely abnormal conditions, greatly improves the detection sensitivity of the cable in different environments, reduces the false alarm rate, introduces a transient power model, can accurately calculate the transient power and temperature change rate of the cable during high-voltage impact, improves the response speed under extreme conditions, and improves the reliability of the cable. And whether the cable responds within the specified time can be quickly identified, the safety in emergencies is remarkably improved, the frequency component of the temperature signal is analyzed through Fourier transform, transient high-frequency false alarm and low-frequency real fire signals are effectively distinguished, the false alarm frequency of the system is greatly reduced, and the reliability of the whole device is enhanced.

The invention discloses a PID temperature control system and method for a semiconductor etching machine, and relates to the field of temperature control, and the system comprises a coupling relation construction module, a temperature sensing confidence module, a decoupling compensation module, a coupling relation dynamic updating module, and a transient temperature change control module. According to the invention, by constructing the coupling relation matrix and the inverse matrix thereof, decoupling control of multi-area temperature control is realized, cross interference is effectively suppressed, and the temperature control precision is improved. And a multi-point temperature measurement fusion and anti-interference algorithm is introduced, so that the temperature measurement accuracy and the system robustness are enhanced. A response residual vector is associated with a control vector, and a coupling matrix is dynamically optimized, so that the system has self-learning and model self-adaption capabilities and adapts to working condition changes. And a transient temperature change quick response mechanism is set, so that the control priority can be improved and the PID parameters can be adjusted when the temperature changes suddenly, the response speed and the control stability of the system to abnormal temperature change are remarkably improved, and the thermal uniformity and the process consistency in the etching process are ensured.

The invention relates to a time synchronization maintaining method assisted by temperature sensing, and belongs to the technical field of time synchronization. The method comprises the following steps: for a network communication scene in which synchronous information interaction cannot be carried out between equipment due to a main clock fault or communication link interruption, considering the characteristic that the output frequency of an equipment clock crystal oscillator presents nonlinear dynamic time varying due to environment temperature change; constructing a time sequence prediction model based on the TimeNet neural network and suitable for the non-external connection; training the model by using clock parameter data and temperature information which are historically recorded; using the trained model to take the environment temperature information as the input of the model, and predicting the clock frequency offset of the slave node; and the clock phase offset of the slave node is calculated by using the predicted clock frequency offset and a frequency offset autoregressive state transition equation, and the slave node corrects a local clock and realizes clock self-holding with the master node by using the clock frequency offset and a clock phase offset value.

The invention relates to a mass concrete raft foundation three-dimensional temperature field reconstruction method, and relates to the technical field of concrete raft foundation structure three-dimensional temperature field reconstruction. The method comprises the following steps: arranging temperature sensing optical fibers in a plurality of temperature measurement areas of a concrete raft foundation to be measured; constructing an optical fiber temperature measurement monitoring system, and obtaining space-time temperature data; a temperature field prediction model is constructed, the temperature field prediction model is based on a physical information neural network, and a data loss function, a physical loss function and an initial condition loss function are fused; performing multi-objective loss function joint optimization training on the temperature field prediction model based on the space-time temperature data; utilizing the trained temperature field prediction model to predict the temperature value of the concrete raft foundation to be measured at any time and space point coordinates; and reconstructing a three-dimensional temperature field based on a prediction result output by the temperature field prediction model. By adopting the method, high-precision reconstruction of the three-dimensional temperature field of the mass concrete raft foundation can be realized.

The invention relates to the technical field of laser welding, and discloses a laser machining device and method for a nuclear reactor shell, and the method comprises the steps that a shell plate welding area to be welded is subjected to surface modification pretreatment; the laser processing device is used for carrying out initial welding on the pretreated shell plate, in the initial welding process, the temperature sensing assembly is used for monitoring temperature distribution of the welding area in real time, and temperature information of the welding area is obtained; the temperature information is input into a preset temperature-deformation prediction model for prediction of a variable trend and a stress distribution condition so as to obtain a first prediction result; based on the obtained first prediction result, the welding parameters of the laser processing device are dynamically adjusted for the first time; welding deformation and stress concentration are effectively coped with, the welding quality and structural strength of the nuclear reactor shell after laser welding are improved, and the reliability and safety of the nuclear reactor shell during use are effectively improved.

The invention discloses a thermal balance control method for a liquid cooling charging module, and relates to the technical field of power electronics, and the method comprises the steps: deploying a multi-dimensional distributed temperature sensing array in a key heating region of the liquid cooling charging module; original data are acquired through the temperature acquisition module and transmitted to the temperature field reconstruction module, a three-dimensional dynamic temperature field model is constructed by using a spatial interpolation algorithm, and temperature values, temperature gradients and temperature difference distribution of all regions are output in real time; the thermal balance control module compares the model output data with a preset temperature threshold value and a temperature difference threshold value, and if the threshold value exceeding condition exists, a regulation and control instruction is sent to a partition cooling execution unit; the subarea cooling execution unit comprises three independent branches (corresponding to key areas), and each branch realizes accurate adjustment through an independent electromagnetic flow valve and a variable frequency water pump; and the steps are circulated until the temperatures of all the key areas reach the standard and the temperature difference of the adjacent areas meets the standard, so that the heat balance precision and the operation safety of the liquid cooling charging module are effectively improved.

The invention discloses an intelligent temperature monitoring device of a computer main board and a control method thereof, and relates to the field of temperature monitoring of the computer main board, the intelligent temperature monitoring device comprises a temperature sensing module which uses a plurality of high-sensitivity sensors in a key area and is high in precision and fast in response, a data transmission module transmits data at a high speed through Bluetooth or Wi-Fi and encrypts the data, and a control unit is multi-core heterogeneous and adjusts a temperature threshold according to an algorithm. The alarm module performs over-temperature acousto-optic alarm and has multiple modes, the heat dissipation control module intelligently adjusts heat dissipation equipment, the display module visually displays the temperature condition, the power management module supplies power in a voltage-stabilized mode and has stored energy backup, and all the modules cooperate to guarantee that the temperature of the mainboard is monitored, regulated and controlled accurately and efficiently. The device accurately monitors the temperature of the mainboard, the sensor is high in precision, the response is fast, data transmission is safe and efficient, control is intelligent, heat dissipation is reasonable, display is visual, power management is good, overheating can be effectively prevented, the service life of the mainboard is prolonged, the operation stability and safety of a computer are improved, and user experience is enhanced.

The invention discloses a temperature effect monitoring method and system for a metal roof, particularly relates to the technical field of building structure health monitoring, and is used for solving the problems of decoupling of temperature monitoring data and structural mechanical response, failure of a static early warning threshold and the like in the prior art. Acquiring three-dimensional temperature field data through a distributed temperature sensing network, and extracting a temperature gradient characteristic value from the three-dimensional temperature field data; a piezoelectric film sensor is used for collecting constraint point micro-vibration signals, and dynamic constraint reaction force spectrum characteristic values are extracted through signal transformation and manifold learning; establishing a temperature gradient and mechanical characteristic coupling model to generate a temperature stress evaluation value; dynamically adjusting an early warning threshold range according to the environmental parameters; when the evaluation value exceeds a threshold value, a structure safety early warning signal is output; multi-physical field coupling analysis of temperature field distribution and structural response is achieved, an environment-adaptive dynamic early warning mechanism is constructed, and the accuracy and reliability of metal roof temperature effect monitoring are remarkably improved.

The invention discloses a high-temperature wireless temperature probe based on NTC lead time division multiplexing and a manufacturing method, and relates to the technical field of wireless temperature probes, and the high-temperature wireless temperature probe comprises a needle tube assembly, a ceramic insulating ring and a coaxial coupling connecting shaft which are connected in sequence; a PCBA board is arranged in the needle tube assembly, and an environment temperature sensor lead and a time division multiplexing circuit are integrated on the PCBA board and selectively connected with the radio frequency receiving and transmitting circuit or the RC charging and discharging temperature measuring circuit. At least two temperature sensors; the ceramic insulating ring is arranged at the joint part of the needle tube assembly and the coaxial coupling connecting shaft, and an inner cavity forms a closed cavity; the coaxial coupling connection shaft comprises a metal outer wall which forms a radio frequency signal ground and a metal inner conductor which forms a coaxial transmission structure with an environment temperature sensor lead. According to the high-temperature wireless temperature probe, mutual interference between the radio frequency function and the temperature sensing function of the wireless temperature probe is effectively eliminated, and the high-temperature wireless temperature probe with high-precision temperature measurement performance is provided.

The invention relates to the field of material testing, and particularly discloses a shear box for simulating lunar soil ring shear testing and a testing device.The shear box comprises a lower box body, an upper box body, an axial loading assembly, a vacuum air channel and a shear seam adjusting mechanism; the testing device comprises a ring shear apparatus and a shear box, the ring shear apparatus comprises a torsional shear measurement and control module, an axial loading measurement and control module and a sensing module, and the sensing module comprises a temperature sensing assembly, an acoustic emission sensor and the like. According to the invention, multi-field coupled lunar soil environment simulation including vacuum, temperature, mechanical loading and the like can be provided, and multi-field collaborative analysis and cross-scale research of lunar soil mechanical behaviors are realized.

The invention relates to the technical field of temperature sensor detection, in particular to a distributed optical fiber temperature sensor detection device which comprises a shell, a detection cavity is formed in the shell, two guide openings communicated with the outside are symmetrically formed in the detection cavity, and two guide rollers are fixed to the outer wall of the shell. A temperature measuring optical fiber is inserted between the guide rollers, a heat insulation inner pipe is jointly inserted into the two guide openings, a temperature sensing contact is fixed to the inner wall of the heat insulation inner pipe, one end of the heat insulation inner pipe is fixed to the outer wall of the shell, and a heat insulation sleeve is rotationally connected to the outer wall of the heat insulation inner pipe; according to the invention, when the position of the temperature measurement optical fiber is adjusted, the temperature measurement optical fiber can be isolated, and the adverse effect of the external temperature on the internal temperature of the detection cavity is reduced.

The invention relates to the technical field of high temperature sensing and data fusion, in particular to a method for array thermocouple multi-mode compensation and DIC stress field space-time coupling fusion, which comprises the following steps: step 1, in a thermotechnical signal intelligent processing and compensation unit, completing hardware and algorithm collaborative design of an electronic cold junction compensation module; 2, constructing a multi-algorithm fusion compensation module, integrating nonlinear correction, drift compensation and interference suppression functions, and accurately coping with various interference signals through a dynamic weighting strategy; step 3, adopting a sub-pixel-level matching algorithm and a homography matrix calibration technology to realize high-precision space alignment of the temperature and stress measurement units; and establishing a nonlinear incidence relation between the temperature and the stress based on an improved Gaussian process regression model. According to the invention, based on collaborative design of the thermotechnical signal intelligent processing and compensation unit and the DIC vision and temperature data conjoint analysis module, the core precision problem of temperature and stress detection in a high-temperature environment is solved through hardware optimization and algorithm innovation.

The invention discloses a temperature and pressure sensor for a new energy automobile, and belongs to the technical field of sensor equipment, the temperature and pressure sensor comprises a plug assembly, a shell and a protective sleeve, a support seat, a circuit board, a temperature sensing probe and a pressure sensing element are arranged in the shell, the protective sleeve is arranged at the lower waist part of the support seat, and the temperature sensing probe is located in the protective sleeve and is in electric signal connection with the circuit board; a square groove for containing the pressure sensing element and the circuit board is formed in the top of the support base, the pressure sensing element is arranged at the bottom of the circuit board and is in electric signal connection with the circuit board, and a pressure transmission channel is further arranged in the shell. The pressure transmission channel comprises a gap part defined by a protective sleeve and a shell and a special-shaped channel formed in the support base, a circular pressure groove is formed in the square groove, the circular pressure groove is matched with the pressure sensing element to form a pressure cavity which is eccentrically designed relative to the shell in the axial direction, and the special-shaped channel is formed in a medium leading-in area. Therefore, the medium entering surface area can be increased through the eccentric design, and the response speed of medium pressure measurement is ensured.

The invention discloses a dynamic digital compensation method for the metering error of wide-temperature-interval electric energy meter equipment, and the method comprises the steps: collecting the metering error data of the equipment at different temperatures through a temperature sensing module, so as to construct a historical temperature-error relation library; training an adaptive compensation model based on a historical temperature-error relation library to establish a nonlinear mapping relation between the temperature and the error; in the real-time operation process of the equipment, the current equipment temperature is collected through a temperature sensing module, and the current equipment temperature and the real-time load rate are input into the self-adaptive compensation model to obtain error correction; and the metering result is dynamically adjusted in real time according to the current equipment temperature and the error correction amount so as to output a compensated accurate metering value. According to the method, a temperature sensor does not need to be newly added, dynamic error correction is realized only by utilizing the existing temperature sensing capability of equipment, the metering precision and stability in a wide-temperature environment can be improved, the comprehensive cost is reduced, and the high-precision metering requirements in special environments such as extremely cold and high temperature environments are met.

The invention discloses a land energy storage container self-adaptive liquid cooling heat dissipation device and method, the device comprises a liquid cooling unit, a self-adaptive circulation pipeline, a variable flow pump valve group, a distributed temperature sensing module and a BMS main control module, through data monitoring, model establishment, thermal load prediction, selection of a proper cooling mode, and introduction of reasonable compensation, the self-adaptive liquid cooling heat dissipation of the land energy storage container is realized. And the variable-frequency circulating pump and the valve body are adjusted and combined for execution. Through multi-parameter fusion control, dynamic impedance matching and intelligent algorithm optimization, a cooperative control mode of a variable orifice regulating valve and a variable frequency circulating pump is innovatively adopted, and dynamic matching of cooling loop impedance is achieved; through temperature field modeling, heat dissipation demand grading prediction, a cooling parameter self-optimization algorithm and fault self-diagnosis, the balance degree of the temperature field is effectively improved, heat dissipation energy consumption is reduced, environmental adaptability is enhanced, and meanwhile the method has the advantages of being high in reliability, wide in environmental adaptability and low in operation and maintenance cost.

A temperature sensing system includes a plurality of resistive segments connected in electrical series. Each resistive segment defines a material different from a material of an adjacent resistive segment, and the plurality of resistive segments are joined at sensing junctions to define a plurality of sensing junctions along a length of the resistive segments. A temperature deviation is calculated from the plurality of sensing junctions based on electric potential at each of the sensing junctions.

The embodiment of the invention discloses a control method and device of an air conditioner, the air conditioner and a vehicle, and belongs to the technical field of air conditioning. The control method comprises the steps that the air inlet temperature and the air outlet temperature of an indoor unit are obtained, and the indoor environment temperature is obtained; determining a first temperature difference according to the absolute value of the difference between the air inlet temperature and the indoor environment temperature, and determining a second temperature difference according to the absolute value of the difference between the air outlet temperature and the indoor environment temperature; determining a temperature difference correction value according to the first temperature difference and the second temperature difference; and controlling compressor frequency according to the temperature difference correction value. According to the embodiment of the invention, the frequency of the compressor is accurately regulated and controlled under the condition that an outdoor environment temperature sensing bulb and a compressor exhaust temperature sensing bulb are omitted, the wiring space of the outdoor unit is saved, the cost is saved, and miniaturization design of the outdoor unit is facilitated.

The invention discloses a transformer intelligent temperature monitoring device based on a monitoring technology, which relates to the technical field of transformer intelligent temperature monitoring and comprises a temperature sensing module, a data processing module, a fault diagnosis module, a data transmission module and a remote monitoring module. And the temperature sensing module is used for acquiring temperature information of each key part of the transformer in real time. According to the invention, high-precision temperature monitoring is realized through the fiber grating sensor, the anti-interference capability is enhanced, and accurate fault diagnosis is realized through the GRU neural network and the fuzzy logic algorithm. And a dual-channel redundancy communication mechanism is adopted to ensure the stability and safety of data transmission. A Web-based remote monitoring platform improves the operation convenience, and a multi-level alarm function ensures safe operation. The system integration module realizes seamless connection with the existing power monitoring platform, has high adaptability and expansibility, reduces the deployment cost, and improves the equipment management efficiency.

The invention relates to the technical field of demolding control, and provides an anti-deformation demolding control method and system for a plastic mold. The method comprises the steps that temperature sensing is conducted on a mold, and the initial temperature is obtained; traversing according to the initial temperature, determining a to-be-preheated area, and performing temperature control calculation to obtain a temperature uniformity coefficient; activating a cooling channel based on the temperature uniformity coefficient, and performing staged cooling to obtain cooling state data; demolding analysis is conducted according to the cooling data, demolding parameters are generated, dynamic association is conducted in combination with environment temperature changes, and a demolding strategy is formulated; simulating and executing a demolding strategy, performing deformation monitoring, generating feedback data, optimizing the strategy and executing anti-deformation demolding operation. The technical problem of mold deformation caused by non-uniform temperature distribution in the demolding process of the plastic mold is solved, and the technical effects of avoiding mold deformation and improving the product quality and the production efficiency by accurately controlling the temperature distribution, the cooling process and the demolding parameters are achieved.

The invention relates to the technical field of intelligent temperature control, and discloses an intelligent temperature control system and a control method thereof. The temperature sensing module is used for collecting real-time data of the environment of the target area, including temperature, humidity, air flow rate and external environment temperature; the data processing module is used for receiving, processing and analyzing the collected real-time data; and the temperature prediction module is used for receiving the processed and analyzed real-time data and predicting a future temperature change trend based on historical data. By adopting the technical scheme of combining the temperature prediction module and the data processing module, the temperature change trend of the target area is accurately predicted by analyzing historical data and real-time data. Therefore, the system can judge temperature fluctuation in advance and make response adjustment, and compared with a mode that a traditional temperature control system can only adjust according to a set value, the method can more flexibly cope with environmental changes, and the accuracy and stability of temperature control are remarkably improved.

A heat sensor assembly for a power distribution system is disclosed. The assembly comprises: a cable, containing a plurality of at least three heat sensors arranged along the length of the cable, each of the heat sensors being spaced from the next by an interval: an end module at a first end of the cable, the end module having a corresponding plurality of terminal pairs, each terminal pair being dedicated to one of the heat sensors; circuitry inside the cable, connecting each of the heat sensors across a corresponding one of the terminal pairs such that each terminal pair outputs a temperature signal indicative of the temperature sensed by the corresponding heat sensor; and a controller configured to receive the temperature signal from each terminal pair and to compare the temperature signals against one another to determine whether the temperature sensed by any one of the heat sensors differs from that sensed by the other heat sensors by more than a predetermined threshold (ΔTALARM), and if so to generate an alarm signal.

The invention belongs to the technical field of automatic control, and discloses an air inflation control method and device for an aerial work suit, equipment and a storage medium, when it is detected that a compressed air cylinder on the aerial work suit is started to inflate a protective air bag, air pressure sensing data and temperature sensing data in the compressed air cylinder are collected in real time; calculating a deviation value between the air pressure sensing data and the standard air pressure data and a deviation value between the temperature sensing data and the standard temperature data; when any deviation value reaches a specified threshold value, differential calculation is carried out on the deviation value to obtain an air pressure change rate signal and a temperature change rate signal, the air pressure change rate signal and the temperature change rate signal are fused to obtain a fused change rate signal, and the fused change rate signal is input into a pre-trained prediction model to obtain a target control parameter; and the inflation rate of the compressed gas cylinder is adjusted according to the target control parameters, so that the inflation rate is adjusted in real time through feedback of the pressure and temperature in the compressed gas cylinder, excessive inflation is avoided, accidents are reduced, the control accuracy is improved, and the safety performance is improved.

The invention provides a concrete regulation and control system and method integrating heat recovery, spraying and gradient control, and relates to the technical field of concrete curing, and the concrete regulation and control system comprises a temperature sensing element and a humidity sensing element which are mounted on reinforcing steel bars in a concrete structure in a layered manner in the depth direction; the cooling water circulating system comprises a water pump and a cooling water pipe, and the cooling water pipe is arranged in the mass concrete structure and externally connected with a variable frequency circulating pump; the double-water-tank system is matched with the heater to realize graded regulation of water temperature; the automatic spraying system is connected with the integrated electric heating module; the heat recovery and circulation assembly is connected with an outlet of a cooling water pipe in the concrete, recovers concrete hydration heat brought out by the cooling water pipe, and transfers heat of high-temperature cooling water with the temperature being 50 DEG C or above to the phase change heat storage tank; the central control unit continuously receives and records monitoring data of the temperature sensor and the humidity sensor and analyzes the monitoring data in real time, and when the temperature gradient or the humidity gradient exceeds the limit, a gradient field control instruction is automatically triggered to achieve energy efficiency maximization.

The invention relates to the technical field of energy storage, and discloses a fused salt heat storage tank leakage detection device which comprises a multi-mode sensing module used for monitoring temperature, conductivity and heat radiation changes caused by internal and external leakage of a heat storage tank in real time; the intelligent data processing module is used for receiving the multi-modal sensing data, performing fusion analysis and identifying leakage positions and severity; the leakage self-healing module is used for automatically blocking a leakage point and isolating a leakage area; the alarm module is used for providing sound-light alarm and information display of leakage; the data transmission and remote monitoring module is used for transmitting the detection data and the alarm information to a remote monitoring platform for real-time monitoring and maintenance; and the power supply and heat dissipation module is used for providing power support for the device and maintaining a stable operation environment. According to the invention, the device employs a multi-mode fusion scheme of optical fiber temperature sensing, conductivity sensing and infrared imaging technologies, and greatly improves the precision and coverage range of leakage detection.

The invention relates to the field of data processing, in particular to a multi-parameter collaborative optimization method and system based on a data center cooling system, and the method comprises the steps: obtaining a cooling subsystem of a computing equipment integrated cabinet, and carrying out the short-time temperature analysis of the computing equipment integrated cabinet based on infrared monitoring data and temperature sensing data, if it is confirmed that the limiting temperature of the component is not higher than the corresponding preset temperature threshold value according to the current temperature distribution, and it is confirmed that the continuous heating temperature is lower than the preset temperature change threshold value based on the temperature change trend, the temperature change trend and the current temperature distribution are obtained; if yes, returning to the step of executing multi-modal data acquisition on the computing equipment integration cabinet and the cooling subsystem, and otherwise, synthesizing the predicted temperature data, obtaining a cooling subsystem configuration strategy and setting the cooling subsystem. According to the invention, the cooling monitoring and adjustment of the computing equipment of the data center are realized by integrating the data collected by the temperature sensor and the thermal imaging probe which are reasonably arranged.

The invention discloses an RFID-based cable joint temperature real-time monitoring method and system, and relates to the technical field of power equipment state monitoring, and the method comprises the steps: embedding an annular metal electrode in a cable joint insulating layer, and integrating an RFID temperature sensor and the annular metal electrode to form a composite sensing unit; collecting a temperature sensing signal and a partial discharge signal through a time synchronization mechanism, and establishing an evaluation model reflecting a dynamic association relationship between a temperature parameter and a discharge characteristic parameter; and judging an insulation degradation trend based on an output value of the evaluation model, and generating an insulation early warning signal when the correlation parameter is detected to exceed a preset correlation threshold value. The technical problem that single temperature monitoring cannot comprehensively reflect the insulation state of the cable joint is solved, comprehensive evaluation of the insulation state of the cable joint is realized through correlation analysis of temperature monitoring and partial discharge detection, and the accuracy of fault early warning is improved.

The present invention relates to a device for the mechanical activation of a mineral material, wherein the device has a mill 10, wherein the mill 10 has a drive 20, wherein the device has at least a first temperature sensing element 30, wherein the first temperature sensing element 30 is arranged in or on the mill 10, wherein the device has a control device 40, wherein the device has a material feed 50 for feeding ground material to the mill 10, wherein the control device 40 is connected to the first temperature sensing element 30 for transmitting the detected temperature, wherein the control device 40 is connected to the drive 20 for regulating the drive power and to the material feed 50 for regulating the supplied quantity of ground material.