435results about "Thermometers using value differences" patented technology

The invention relates to a detection and analysis method and system for an energy storage system, and aims to improve the state monitoring precision, the fault early warning capability and the response intelligence level of the system. The method comprises the following steps: firstly, synchronously acquiring and transmitting multi-source data in real time through a sensor network deployed in a battery module, a power conversion unit and a cooling system; and then, key dynamic features are extracted from the multi-source data, and dynamic feature state information of the energy storage system is comprehensively formed. And inputting the state information into a pre-trained deep learning model, and outputting a health state score and a fault probability of the system. Based on the evaluation result and the fault traceability information, the system triggers a multi-level early warning mechanism and executes an active response strategy, and after response execution, the system re-evaluates the health state in a closed loop mode and verifies the response effect; and if the improvement does not reach the expectation, making a decision to start an artificial diagnosis protocol. According to the invention, a complete process from dynamic perception, intelligent diagnosis and accurate response to closed-loop verification is realized, and the safety and reliability of operation of the energy storage system are improved.

The invention relates to the technical field of power electronic device diagnosis, and discloses a reverse conducting IGBT intelligent power module fault automatic diagnosis method and system. The method comprises the following steps: acquiring multi-source monitoring data including a grid voltage waveform, a collector current waveform and a shell temperature change curve when the power module operates; then establishing a dynamic feature extraction model, performing time domain and frequency domain conjoint analysis on the multi-source monitoring data, and generating a feature parameter set; then constructing a fault feature space, and mapping the feature parameter set to a high-dimensional space to form a feature vector distribution diagram; carrying out regional division on the feature vector distribution map by adopting a self-adaptive clustering algorithm, and identifying an abnormal feature aggregation region; and finally, comparing the abnormal feature gathering area with a preset fault feature library through a mode matching engine, and outputting a fault type identification result. According to the method, multi-source data can be integrated to realize dynamic feature extraction and adaptive fault identification, and the real-time performance and accuracy of fault diagnosis are improved.

The invention provides a data co-processing method and system for a linear servo actuator. The method comprises the following steps: firstly, acquiring a multi-level temperature data set of a key heat source area in the linear servo actuator; performing dynamic coupling analysis processing on the multi-level temperature data set based on a thermal field prediction model to generate a temperature change trend prediction result; a dynamic heat dissipation strategy grade is matched according to the temperature change trend prediction result and real-time load current data, a heat dissipation execution control instruction is generated, and temperature feedback data in the heat dissipation process is monitored in real time; and based on a comparison result of the temperature feedback data and a preset temperature threshold, triggering a thermal failure protection mechanism to adjust the execution priority of the composite heat dissipation operation. According to the invention, power output can be reduced, external active heat dissipation control is triggered, equipment shutdown and other related instructions which are in effective contact with an abnormal working state can be triggered, so that the risk of equipment damage caused by abnormal operation of the actuator is effectively reduced, and the reliability and stability of the system are improved.

The invention discloses a temperature sensing and radio frequency identification circuit integrated temperature measurement method and system, which are applied to the technical field of temperature sensor data processing, and the method comprises the steps: obtaining the response time when each temperature sensing node collects the temperature according to a corresponding first preset sampling frequency, and the signal transmission delay time of a corresponding radio frequency identification chip; correcting response time by using a compensation matrix constructed according to the signal transmission delay time sequence to obtain an adjusted response time sequence, and respectively determining a sampling configuration scheme and reference task bearing capacity corresponding to the temperature sensing node according to the adjusted response time sequence and equipment parameters; and carrying out temperature acquisition, and carrying out interpolation reconstruction and optimization on the acquired temperature value to obtain optimized temperature data. According to the method, the response speed of the distributed temperature sensing system is adjusted, and the sampling strategy is adjusted in combination with the dynamic change of the distribution characteristics of the temperature field, so that the temperature monitoring precision is improved.

The present disclosure relates to a system (100) for acoustically detecting a temperature change, the system (100) comprising: at least one conversion element (10) for converting a temperature change into a characteristic sound; an acoustic sensor (40) configured to be mechanically connected to the structure (50) at a distance from the at least one conversion element (10); and a processor (42, 62) coupled to the acoustic sensor (40), in which the at least one conversion element (10) comprises an actuation portion (20) having at least one material having thermal expansion properties such that a change in temperature causes a movement of the actuation portion (20) that causes the conversion element (10) to generate a characteristic sound and conduct the characteristic sound into the structure (50), the acoustic sensor (40) is configured to record a characteristic sound generated by the conversion element (10) as a structural sound propagating through the structure (50), and the processor (42, 62) is configured to detect a temperature change based on the characteristic sound recorded by the acoustic sensor (40).

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 discloses an automatic spraying control method and system for a fuel tank, and the method comprises the steps: obtaining the temperature monitoring data of the fuel tank, and carrying out the prediction, and obtaining the temperature prediction data; evaluating the high-temperature degree of the fuel tank based on the temperature prediction data to obtain a high-temperature degree evaluation value, and setting an initial control condition of the automatic spraying device according to the high-temperature degree evaluation value; determining temperature change characteristics of the fuel tank within a period of time after spraying, and determining a temperature change coefficient of the fuel tank based on the temperature change characteristics; and determining a control correction coefficient of the automatic spraying device based on the temperature change coefficient, and correcting an initial control condition of the automatic spraying device according to the control correction coefficient. By analyzing the temperature response characteristics in the spraying process and dynamically optimizing the control parameters, a complete monitoring-prediction-control-feedback closed loop is formed, the control precision is remarkably improved, timely and effective intervention is ensured when risks occur, energy and resources are saved, and unnecessary resource waste and equipment abrasion are avoided.

A water heating system includes a first heating chamber arranged in parallel with a second heating chamber; a first temperature sensor positioned to sense a first temperature in the first heating chamber; a second temperature sensor positioned to sense a second temperature in the second heating chamber; and a controller configured to: determine a first temperature value based on a first sensor signal from the first temperature sensor, determine a second temperature value based on a second sensor signal from the second temperature sensor, compute a differential between the first temperature value and the second temperature value, determine that scale buildup is indicated in response to the differential exceeding a first threshold, and initiate a corrective action in response to determining that scale buildup is indicated.

The invention provides an explosion-proof electric appliance overcurrent and temperature rise wireless test system and method based on ultrasonic communication, and relates to the technical field of explosion-proof electric appliance temperature rise tests. The system comprises a temperature acquisition device, an ultrasonic through-wall communication device, an overcurrent protection time acquisition device, a data receiving and storing device and a digital display operation table, wherein the output end of the temperature acquisition device is connected with the input end of the ultrasonic through-wall communication device, the output end of the ultrasonic through-wall communication device is connected with the input end of the data receiving and storing device through wireless communication, and the output end of the overcurrent protection time acquisition device is connected with the input end of the data receiving and storing device; and the data receiving memory is connected with the digital display console through a bidirectional data channel. According to the invention, the anti-interference performance and the test precision of temperature measurement are enhanced, and the multi-node distributed monitoring capability is provided through multi-channel data transmission, so that the overall efficiency of the internal temperature and overcurrent protection monitoring of the explosion-proof electric appliance is greatly improved.

The invention relates to a cable early-stage fault parameter extraction method and system fusing temperature rise process data, and relates to the technical field of cable fault monitoring, and the method comprises the steps: receiving multi-node temperature rise data uploaded by a temperature measurement optical fiber for a to-be-detected cable in a conduction state, comparing the multi-node temperature rise data with a cable rated condition, extracting deviation information with a standard temperature rise curve, and calculating the temperature rise process data of the to-be-detected cable; setting first and second fault characteristic indexes; drawing up a fault parameter extraction atlas in combination with the deviation information and the first and second fault characteristic indexes; and according to the attenuation coefficient, the early fault calorific value under different equivalent insulation resistances is taken as a core association feature, a fault influence range is evaluated, and a dynamic threshold adjustment rule is used for fault reminding. The cable fault detection method solves the problems that in traditional cable fault detection, early fault feature capture is not sensitive, missing detection is prone to occurring, and the fault judgment accuracy is insufficient due to the fact that the cable operation state and environmental factors are not fully combined.

Provided is an indoor fire source localization method for high-rise buildings based on glass surface temperature, including the following steps: arranging an array of m wireless thermocouples on an outer surface of glass; measuring horizontal distances from a centrally positioned wireless thermocouple in the arranged array of wireless thermocouples to both side walls of a fire room; acquiring temperature data signals at preset time intervals t and transmitting the acquired temperature data to a data processing terminal for averaging; using averaged real-time glass temperature data and the horizontal distances from the centrally positioned wireless thermocouple to the two side walls as input data to form an input dataset, and feeding the dataset into a trained prediction program integrating a multilayer perceptron (MLP) and a k-nearest neighbors (KNN) algorithm; and determining a predicted fire source location block through backpropagation and category voting.

The invention provides a method for detecting the furnace temperature uniformity of a roller hearth type heat treatment furnace. The method is applied to a roller hearth type heat treatment furnace system comprising a furnace body, a heating device, a temperature sensor array and a medical service big data management system. The method comprises the steps that a temperature sensor array containing 14 measuring points is arranged at a specific position of a furnace body, and a furnace temperature data recording black box is fixed to the lower right corner of the furnace body; controlling the heating device to heat to a target process temperature of 920 DEG C and keeping the temperature constant for 30 minutes; the temperature data of the whole furnace area is collected every five minutes; and calculating a reference temperature and an absolute deviation value set of each measurement point through a medical service big data system, and evaluating the temperature field uniformity of the furnace body. And when the deviation exceeds a threshold value, the system generates a correction parameter group containing a heating zone power compensation coefficient and a refractory material density gradient value, and executes power redistribution or thermal insulation layer enhancement operation. High-precision detection and dynamic optimization of the temperature field uniformity of the roller hearth type heat treatment furnace can be realized, and the stability of a heat treatment process and the consistency of product quality are improved.

The invention provides a reservoir environment monitoring method and system, and belongs to the field of reservoir water quality monitoring. The method comprises the following steps: acquiring vertical temperature time sequence data and a plurality of layered fluctuation coefficients under a plurality of depth intervals; setting a water quality sensor monitoring frequency, and obtaining a first water quality parameter of the first depth interval; configuring a prediction resource based on the first layered fluctuation coefficient, predicting a water quality parameter of a second depth interval according to the first water quality parameter and the first layered fluctuation coefficient, and verifying to obtain a prediction error coefficient; and performing layer-by-layer prediction according to the prediction error coefficient and the layered fluctuation coefficient until the water quality parameter of the target depth and the reservoir environment monitoring result are obtained. The technical problems of inaccurate target depth water quality monitoring and high cost caused by the fact that a water quality sensor cannot realize full-depth coverage in the prior art are solved, and the technical effects of accurately monitoring the target depth water quality and reducing the deployment cost of the sensor are achieved through temperature stratified fluctuation analysis and layer-by-layer prediction error compensation.

One or more implementations of the present disclosure relate to a wireless, multi-sensor food thermometer that includes a temperature probe having a linear array of temperature sensors that are operative to measure: temperature profiles within a food product during a cooking process, a temperature at a core of the food product, a temperature at the surface of the food product, and a temperature of the ambient cooking environment in which the food is being cooked. The temperature probe includes a wireless interface that transmits temperature information to one or more external devices for use thereby. Rather than transmitting raw temperature data, the temperature probe may transmit coefficients that correspond to a function that describes the temperature profile within the food or parameters necessary to solve a governing heat equation, which reduces data transmission requirements and reduces power consumption. The food thermometer may include a charger case that houses the temperature probe and charges a power source of the temperature probe using a replaceable battery.

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.

The present disclosure provides a method in an agrivoltaic system comprising photovoltaic panels disposed to cast a shadow on plants when irradiated by sunlight. The photovoltaic panels are controllable for adjusting said shadow. The method comprises obtaining a comparison signal indicative of a comparison between a temperature of ambient air and a temperature of the plants; and controlling one or more of said photovoltaic panels to adjust the shadow cast by said one or more photovoltaic panels on the plants using said comparison signal.

The invention provides a concrete structure construction period temperature deformation cracking risk prediction method comprising the following steps: S1, temperature monitoring: after concrete structure pouring is completed, continuously monitoring a concrete internal and surface temperature development curve; s2, inverting thermal parameters, namely inverting an equivalent adiabatic temperature rise curve and an equivalent thermal diffusivity of concrete under a field condition and a convective heat transfer coefficient of the concrete under a template in-place condition by combining a monitoring temperature, an environment temperature and a heat preservation condition and utilizing a heat conduction equation inverse analysis method; s3, prediction in the form removal period and the later period: inputting the thermal parameters obtained by inversion into finite element software, performing temperature field prediction, switching a boundary condition to be a heat exchange coefficient after form removal, and simulating subsequent temperature evolution; s4, risk index calculation and grading: calculating a risk index, and quantifying or grading the cracking risk according to a set threshold value; s5, performing construction decision linkage; according to the method, the thermal parameters of the concrete can be quickly inverted by utilizing early field measured temperature data.

The invention relates to the technical field of electric energy meter connectors, and particularly provides a state monitoring method of an electric energy meter connector and the electric energy meter connector. According to the method, early warning grading is carried out based on temperature data at a connector plug, a dynamic safety threshold value at the current moment, a temperature change rate and a temperature trend; the state monitoring result of the connector is determined based on the early warning level, the fault type and the residual life, the dynamic safety threshold is determined according to the real-time current data flowing through the connector and the real-time environment temperature, and the temperature trend and the temperature change rate are determined based on the sliding window strategy and the 3 sigma principle; the fault type is determined according to the temperature data, the current data and the historical data, and the residual life is predicted according to the temperature data and the time data corresponding to the temperature data. The problem that the operation state of the electric energy meter connector cannot be monitored in real time in the prior art is solved.

The invention relates to the technical field of tunnel freezing engineering monitoring, in particular to a frozen wall online monitoring method and system for tunnel freezing engineering. Temperature time sequence data of all freezing pipe monitoring points are obtained, the soil layer loosening degree and freezing interference indexes are quantified through the temperature difference, amplitude trend and fluctuation characteristics of the monitoring points, the two indexes are further combined with position distribution of the freezing pipe monitoring points, and the freezing liquid demand index of all freezing pipes is determined; dynamically adjusting the refrigerating fluid correction value according to the refrigerating fluid demand index to match the actual cooling capacity demand; analyzing a disordered index of the correction value of the freezing liquid of each freezing pipe through a time sequence (calculating a conveying pause evaluation index; if the evaluation index exceeds the limit, circulation of the low-demand freezing pipe is suspended, the high-demand freezing pipe runs according to the correction value, and otherwise, dynamic adjustment of the whole pipe is maintained. According to the method, soil layer characteristics and interference factors are quantified through multi-parameter coupling, precise adaptation of cooling capacity supply is achieved, and the uniformity of the frozen wall is effectively controlled.

The invention is suitable for the technical field of oil-submerged pump monitoring, and particularly relates to an oil-submerged pump bearing temperature field distribution monitoring method and equipment, and the method comprises the steps: obtaining the monitoring distribution data of an oil-submerged pump bearing in a test period; in the actual period, operation monitoring data of the oil-submerged pump motor are obtained; obtaining equivalent thermal parameter data generated between the motor heat source assembly and the bearing part according to the monitoring distribution data and the motor electrical parameters of the corresponding time nodes; extracting characteristic parameter data representing the dynamic change of the heat source power from the operation monitoring data; obtaining result data based on the characteristic parameter data and the equivalent thermal parameter data; and obtaining temperature field distribution data according to the result data in combination with the geometric parameters of the bearing and preset thermal field data. According to the oil-submerged pump bearing temperature field distribution monitoring method provided by the invention, the situation that the accuracy, integrity and stability of a temperature field distribution result are low due to the limitation of an underground environment can be solved.

The utility model discloses a crane motor temperature alarm circuit, which relates to the technical field of motor temperature alarm, and comprises a temperature detection module for detecting the temperature of a crane motor and calculating the temperature change degree in a short time when the temperature reaches a set temperature, when the temperature difference is larger than a set temperature difference threshold value, there is an over-temperature risk, at the moment, the alarm control module carries out light alarm, the over-temperature detection module carries out over-temperature detection, and when the temperature is over-temperature, the alarm control module carries out sound alarm. When the crane motor is over-temperature and the temperature difference is larger than a set temperature difference threshold value, sound alarm is maintained, the alarm control module transmits the alarm state to the monitoring terminal in a wireless mode, the crane motor temperature alarm circuit can conduct over-temperature alarm in advance, the over-temperature risk is reduced, alarm with different effects can be conducted according to different temperature states, and the safety of the crane motor is improved. The alarm effect is improved.

The application relates to the technical field of power electronic device diagnosis, and discloses a fault automatic diagnosis method and system for an inverse-conducting IGBT intelligent power module. The method comprises the following steps: acquiring multi-source monitoring data of the power module during operation, wherein the multi-source monitoring data comprises a gate voltage waveform, a collector current waveform and a shell temperature change curve; then, a dynamic feature extraction model is established, time domain and frequency domain joint analysis is performed on the multi-source monitoring data, and a feature parameter set is generated; subsequently, a fault feature space is constructed, the feature parameter set is mapped to a high-dimensional space to form a feature vector distribution graph; then, a self-adaptive clustering algorithm is used to divide the feature vector distribution graph into regions, and an abnormal feature aggregation area is identified; finally, a pattern matching engine is used to compare the abnormal feature aggregation area with a preset fault feature library, and a fault type identification result is output. The method can integrate multi-source data to realize dynamic feature extraction and self-adaptive fault identification, and improves the real-time performance and accuracy of fault diagnosis.

The object of the present invention is a control method for verifying the presence of the flame in the combustion chamber (41) of a premixed gas burner (1), fed by an air and gas mixture mainly and / or essentially comprising hydrogen H2. The method is based on the use of at least one temperature sensor (6), the values whereof are sent to a control device (8) which uses them to calculate the derivative T′ over time of the temperature T to compare it to suitable feedback thresholds (Tau1, Tau2; Tau3, Tau4) to establish the ignition occurred, the ignition failure or flame extinguishment.

This invention relates to a wireless thermometer featuring a trident probe configuration, optimized for monitoring and controlling food temperatures during cooking. The central probe extends deeper, while two shorter side probes measure temperature at the edges, providing a comprehensive thermal profile. Temperature data is transmitted to a connected electronic device, where AI algorithms process temperature trends and food images to suggest cooking adjustments. These adjustments include precise grill height and power settings, enabling users to achieve consistent and well-monitored cooking results. The thermometer's robust data transmission capability and real-time feedback improve cooking efficiency and accuracy.

The invention relates to the technical field of circuit breaker fault early warning, and discloses a fault prediction method and system for an outdoor primary and secondary fusion high-voltage circuit breaker, and the method comprises the steps: obtaining the electrical parameters, mechanical parameters and environmental parameters of the circuit breaker; comparing the electrical parameters with historical electrical parameters, and preliminarily judging whether the electrical parameters are abnormal or not; re-judging whether the electrical parameters are abnormal or not according to the electrical parameter characteristic values; comprehensively calculating an electrical anomaly index according to the preliminary judgment result and the re-judgment result; obtaining a mechanical anomaly index initial value according to the mechanical parameters, obtaining environmental parameters within a preset duration, and correcting the mechanical anomaly index initial value according to the environmental parameters to obtain a mechanical anomaly index final value; obtaining a comprehensive anomaly index according to the final values of the electrical anomaly index and the mechanical anomaly index; and carrying out sub-early warning and ultimate early warning. And comprehensive monitoring and intelligent judgment of the operation state of the circuit breaker are realized.

The present invention relates to an automatic system (1) and a method for monitoring the state of thermal insulation for buildings and infrastructures (2). The system comprises: - at least one internal measuring device (10) and one external measuring device (20), applied to the walls; - at least one Gateway (30) for a long-range communication system (Lo.Ra. or similar); - at least one Server (40) for automatic data storage and analysis. The measuring devices (10, 20) acquire and evaluate the thermal conductivity of the walls on which they are applied, measuring the thermal conductivity at preset intervals through a set of sensors that allow the appropriate corrective measures determined by wind and air humidity (including the possible effects of rain) to be applied. Once the data has been acquired and the thermal conductivity calculation has been carried out (both with the theoretical formulas and by applying the convection correctives), the internal device (10) sends the data to the Server (40), which processes them, determining the variations in thermal conductivity through regression algorithms, in order to estimate the rate of deterioration of the insulation. If the deterioration rate exceeds the standard, estimated from previous data, the system sends an alarm.