256 results about "Equipment temperature" patented technology

The invention discloses an equipment temperature adjusting method fusing a long short-term memory network, and particularly relates to the technical field of temperature control, which comprises the following steps: determining the deployment position of a sensor through thermal simulation, collecting multi-source heterogeneous data, dynamically adjusting the sampling frequency in combination with the temperature and the load current change rate, and adjusting the temperature of the sensor; after data preprocessing, an attention mechanism enhanced LSTM prediction model is constructed, a time sequence sample data set is divided according to equipment thermal response characteristics, training is carried out, and an optimal model is obtained through early stop mechanism optimization; predictive feedback double-closed-loop regulation and control is achieved based on the optimal model, outer loop PI control is combined with an integral separation mechanism to generate a basic control quantity, an inner loop outputs a correction quantity through fuzzification, reasoning and defuzzification, an actuator is driven after superposition, and safety linkage is triggered synchronously; constructing an incremental data buffer pool to screen effective samples, and adaptively updating model parameters by adopting a layered fine tuning strategy; the temperature regulation and control precision and the long-term self-adaptive capability are obviously improved, and the over-temperature risk of equipment is reduced.

The invention relates to the technical field of industrial equipment temperature control, and discloses a temperature control system, which comprises a multi-source state sensing module for acquiring a power load, temperature, humidity and feedback temperature; the feed-forward prediction and analysis module is used for generating a feed-forward signal based on the load and the temperature; the closed-loop feedback and safety guarantee module is used for calculating a feedback signal according to the temperature deviation; the cooperative control decision module combines the feed-forward signal and the feedback signal to generate a fan instruction, and generates a baffle instruction for balancing heat dissipation and regeneration according to the feed-forward signal and humidity; the self-adaptive heat dissipation execution module is used for executing a fan instruction to generate cooling airflow; and the dynamic energy regeneration module executes a baffle instruction to distribute the waste gas flow direction. According to the method, the power load is introduced to serve as a prospective index, correction is conducted in combination with the environment temperature, a predictive heat dissipation control model is constructed, the system can start heat dissipation adjustment before a large amount of heat is generated, and therefore smooth and stable control over the equipment temperature is achieved.

The invention relates to the technical field of temperature control of high-precision industrial heating equipment, in particular to an anti-interference precise temperature control method and system for heating an upper die, and the method comprises the steps: starting a multi-region heating array, heating the upper die to a target temperature according to a preset temperature rise curve, and building a uniform thermal field; before the high-pressure medium is introduced, heat load change caused by the high-pressure medium is predicted based on medium process parameters; in the medium introduction process, dynamic anti-interference compensation control is executed, a feedforward power compensation instruction based on a thermal load and a feedback power fine tuning instruction based on temperature deviation are generated respectively, and the feedforward power compensation instruction and the feedback power fine tuning instruction are weighted and fused into a composite power driving signal for adjusting a heating array; when the temperature fluctuation converges to a stable threshold value, the feedforward compensation weight is gradually reduced, smooth switching to steady-state control is achieved, transient thermal shock caused by a high-pressure medium is effectively restrained through feedforward and feedback cooperative compensation and dynamic weight adjustment, the temperature fluctuation is reduced, and the temperature control precision and stability are improved.

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 semiconductor narrow linewidth laser temperature cycle test system and a test method thereof, which belong to the field of laser communication and eliminate errors caused by system loss to optical power measurement through optical power calibration compensation coefficients. The variable-temperature adjustment is controllable, the wavelength of the laser is efficiently tuned, and various indexes are measured. The device mainly comprises a plurality of drivers and a high-low temperature test box, to-be-tested laser parts of a plurality of tested lasers are placed in the high-low temperature test box, and other parts of the tested lasers are located outside the high-low temperature test box so as to avoid the influence of equipment temperature drift on measurement; the plurality of drivers are respectively and correspondingly connected with the plurality of tested lasers, optical chip driving current and TEC closed-loop temperature control are provided for the tested lasers, wavelength tuning of the lasers is realized through the TEC closed-loop temperature control system, and temperature sensors are arranged at the tested lasers in the high and low temperature test box. The invention is mainly used for the semiconductor narrow linewidth laser temperature cycle test system.

A power transformation equipment temperature anomaly identification and diagnosis method comprises the following steps: collecting state variables, performing cleaning, interpolation complementation and abnormal point elimination on multi-source data through a time synchronization mechanism, and constructing a unified data matrix; extracting statistical features and time sequence dynamic features in the time sequence based on the data matrix, and performing dimensionality reduction on redundant information in combination with a principal component analysis method to form a multi-dimensional fusion feature vector; an unsupervised learning model based on LSTM-AE is constructed, a normal working condition data learning feature reconstruction mode is utilized, and a reconstruction error is taken as a criterion to identify potential temperature anomaly; and calling a preset expert rule base and a knowledge graph, automatically analyzing dominant factors causing anomalies, and identifying typical anomaly types. According to the invention, automatic identification and classification diagnosis of the temperature abnormity of the power transformation equipment under an unsupervised condition are realized, the accuracy and response speed of fault identification are obviously improved, and the intelligence and practicability of equipment operation state monitoring are enhanced.

The invention relates to a power equipment inspection method, device and equipment, a readable storage medium and a product, and relates to the technical field of power. Comprising the following steps: acquiring equipment image data, equipment temperature data and equipment type of to-be-inspected power equipment; performing external health analysis on the to-be-inspected power equipment based on the equipment image data to obtain external health state information of the to-be-inspected power equipment; performing internal health analysis on the to-be-inspected power equipment based on the equipment temperature data to obtain internal health state information of the to-be-inspected power equipment; performing priority analysis on the to-be-inspected power equipment based on the equipment type to obtain an inspection priority of the to-be-inspected power equipment; according to the external health state information, the internal health state information and the inspection priority, determining an inspection strategy of the to-be-inspected power equipment; and controlling the inspection robot to inspect the to-be-inspected power equipment according to the inspection strategy. The method can improve the inspection reliability of the power equipment.

The invention relates to the field of photovoltaic equipment abnormity early warning, and provides a photovoltaic equipment temperature abnormity prediction method and device based on a digital twinborn model, and the method comprises the steps: obtaining an environment acoustic signal, meteorological data, and the actually measured temperature data of photovoltaic equipment; performing acoustic spectrum feature extraction according to the environmental acoustic signal to obtain a virtual environmental parameter set; sending the meteorological data and the virtual environment parameter set to a preset digital twinborn model for processing to obtain an initial temperature predicted value set; determining a temperature prediction value distribution diagram according to the initial temperature prediction value set and actually measured temperature data of the photovoltaic equipment, and comparing a temperature prediction result with an abnormal temperature threshold value to obtain a temperature abnormal risk point; and processing according to the temperature prediction value distribution diagram, the temperature anomaly risk points and the meteorological data to obtain temperature anomaly early warning information of the photovoltaic equipment, and improving the accuracy and foresight of temperature anomaly prediction of the photovoltaic equipment.

The invention discloses an NFC trigger control method integrating wireless charging and automatic data backup, and relates to the field of data backup. The method comprises the following steps: realizing equipment identity authentication and electric quantity information acquisition through an NFC trigger mechanism, dynamically calculating target charging power based on the current electric quantity, and monitoring the equipment temperature in real time in a wireless charging process. By calculating the difference value between the working upper limit temperature and the real-time temperature of the storage chip, a pre-trained reading frequency determiner is used for intelligently generating a real-time reading frequency parameter, and the working state of the storage chip in the data backup process is dynamically regulated and controlled. A cloud collaborative optimization mechanism is further introduced, the confidence coefficient weight of each determination unit is dynamically adjusted according to historical accuracy data, and self-adaptive optimization of the reading frequency determiner is achieved. According to the method and the device, the problem of equipment overheating during concurrent execution of wireless charging and data backup is effectively solved, the balance of charging efficiency, backup safety and equipment thermal management is realized, and the user experience is remarkably improved.

The invention relates to the field of special equipment safety management, and discloses a special equipment intelligent control method and system based on the Internet of Things. The method comprises the following steps: acquiring a facial image and fingerprint data of an operator through an industrial Internet of Things sensor, and matching by combining a preset biological recognition template to obtain preliminary verification information; personnel qualification grades and historical operation records are called from a database, and a comprehensive qualification score is determined through random forest algorithm processing; acquiring temperature and pressure parameters of the equipment in real time, and marking abnormity to generate a state label if the parameters exceed threshold values after detection; based on the state tag and the qualification score, verifying identity authenticity in a multi-dimensional manner, matching equipment operation qualification requirements, generating a matching degree, generating a temporary permission token when the matching degree reaches the standard, and otherwise, refusing to access; and the token is encrypted and transmitted to the equipment control module, and the operation range is adjusted in real time to complete dynamic permission configuration. According to the method, accurate authority control is realized, the operation safety and management efficiency of the special equipment are improved, and guarantee is provided for safe operation of industrial production.

The invention discloses a hardware acceleration equipment management system and method applied to a network security product, and relates to the technical field of hardware acceleration equipment management of the network security product. Comprising a PCIE to M.2 adapter plate module, a structure supporting module, a load real-time monitoring module, a resource dynamic allocation module, a cross-device task scheduling module and a device compatibility adaptation module. The adapter plate splits a PCIe X8 signal into two paths of X4 and synchronizes a clock; the structure supporting module fixes equipment; the load real-time monitoring module collects data to generate a report; the resource dynamic allocation module allocates tasks based on reports; the cross-device task scheduling module migrates tasks and switches a PCIe channel mode when the load exceeds a threshold value; the equipment compatibility adaptation module is responsible for identifying equipment, loading a driver, unifying an instruction set, detecting hot plug state update and dynamically regulating and controlling the temperature of the equipment; and all the modules work cooperatively to realize efficient management of the network security product on the M.2 equipment.

The invention discloses a substation equipment temperature intelligent sensing method and system. The content comprises data acquisition, adaptive preprocessing, graph pre-training, temperature sensing model construction and temperature intelligent sensing. The invention relates to the technical field of substation equipment management, in particular to a substation equipment temperature intelligent sensing method and system.According to the scheme, firstly, a multi-channel covariance is estimated in real time through an adaptive sliding window, a scaling factor is introduced, noise and anomaly isolation is conducted in combination with low-rank-sparse decomposition and microfilterable filtering; high-fidelity interpolation is carried out on the data with the exception removed based on a covariance structure; then, a time-varying sensor graph is constructed, structural priori is pre-trained through a graph self-encoding network, sensor deviation is dynamically compensated through residual regression in a fusion feature space, finally, a high-precision temperature sensing value and a corresponding confidence coefficient score are output, and reliable data support is provided for operation and maintenance decision making and abnormal alarm.

The utility model discloses a temperature monitoring device and semiconductor process equipment. The temperature monitoring device comprises an over-current control loop and an over-temperature control loop; the overcurrent control loop comprises a current sensor and a control module which are connected; the control module comprises a first contactor; the current sensor is connected in series with a first circuit for supplying power to the electromagnetic module in the semiconductor process equipment, and the current sensor generates a first electric signal and sends the first electric signal to the control module under the condition that the current on the first circuit exceeds a first threshold value; under the condition that the control module receives the first electric signal, the first circuit is disconnected through a first contactor connected with the first circuit; the over-temperature control loop comprises an over-temperature sensor and a second contactor which are connected; the over-temperature sensor is connected with the electromagnetic module, when the temperature of the electromagnetic module exceeds a second threshold value, the over-temperature sensor generates a second electric signal and sends the second electric signal to the second contactor connected with the first circuit, and the second contactor disconnects the first circuit when receiving the second electric signal.

The invention belongs to the technical field of high-voltage switch equipment state monitoring, and particularly relates to a high-voltage switch equipment temperature field monitoring method and system based on digital twinning, and the method comprises the steps: obtaining a three-dimensional model and real-time operation data of high-voltage switch equipment based on digital twinning; obtaining a temperature field prediction result of the high-voltage switchgear according to the obtained real-time operation data and the deep learning reduced-order model; wherein the deep learning order reduction model comprises a deep feed-forward neural network used for mapping the acquired real-time operation data from a working condition parameter space to a low-dimensional feature space and a convolutional auto-encoder used for performing temperature field reconstruction on low-dimensional feature vector data output by the deep feed-forward neural network; and associating the obtained temperature field prediction result with the three-dimensional model, and performing visual interaction of the temperature field of the high-voltage switchgear to complete monitoring of the temperature field of the high-voltage switchgear based on digital twinning.

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 discloses a low-voltage electrical equipment safety monitoring method and system based on temperature sensing, and relates to the technical field of low-voltage electrical circuit protection device control, and the method comprises the steps: collecting the multi-node real-time temperature data of low-voltage electrical equipment through a distributed temperature sensor array, an abnormal temperature change mode and a multi-stage early warning signal are determined through thermal state analysis, a circuit protection device is triggered to adjust operation parameters of the low-voltage electrical equipment and form a safety protection record log, then a fault prediction channel is constructed according to the safety protection record log, and finally an equipment health state evaluation report is generated. According to the invention, the technical problems of single-point sensing monitoring lag, inaccurate abnormal mode judgment and rigid safety protection strategy in traditional low-voltage electrical equipment temperature monitoring are solved, and the distributed sensor array comprehensively collects multi-node data, accurately analyzes a thermal state and identifies an abnormal temperature change mode. The technical effects of accurate temperature monitoring, effective protection and health prediction of the low-voltage electrical equipment are achieved.

The invention discloses a semiconductor equipment temperature control system fault prediction method based on digital twinning, which relates to the field of temperature control fault prediction, and comprises the following steps: configuring a structural topological graph of a temperature control system, defining a health parameter vector of the temperature control system, configuring an online grey box digital twinning model, and obtaining temperature setting parameters and process stage state parameters. Temperature control response segments are divided, response feature vectors are configured based on the temperature control response segments, and event labeling is carried out. A temperature control system grey box digital twinborn model with on-line updating capability is constructed on the basis of a temperature control system structure topological graph, a corresponding state space relation is established, and a health parameter vector formed by a circulating pump efficiency parameter, a heat exchanger heat transfer capability parameter, a fluid regulating valve opening offset parameter and a temperature sensor zero offset parameter is matched. And the operation state of the temperature control system has good physical interpretability.

The invention provides a communication machine room temperature and humidity control method and system based on a DCS, and relates to the technical field of temperature and humidity control, and the method comprises the steps: collecting a variety of data, and carrying out the classification of the equipment data of a communication machine room, and obtaining the equipment function data. And analyzing the data transmission quantity to obtain a data change trend, and predicting the data change trend in combination with external factor data to obtain time period transmission change. And analyzing the influence of the data transmission quantity on the equipment data of the communication machine room to obtain equipment temperature change data, and formulating an initial temperature and humidity regulation and control strategy in combination with external factor data. And adjusting the initial temperature and humidity regulation and control strategy according to the time period transmission change to obtain a temperature and humidity control strategy, and executing the temperature and humidity control strategy through a DCS. Through real-time analysis of time period transmission change and equipment temperature change, a temperature and humidity control strategy is adjusted in time, so that the strategy can adapt to change of different time periods, and stable operation of the communication machine room is better guaranteed.

The application provides a power equipment temperature rise load performance index diagnosis method, comprising the following steps: establishing a power equipment load current and temperature mathematical model according to current heat generation and heat dissipation process analysis; calculating the equipment temperature rise load performance index according to the power equipment load current and temperature mathematical model; and judging the equipment fault state according to the amplitude and trend of the deviation of the equipment temperature rise load performance index with time or the three-phase deviation degree or the phase-to-phase temperature rise load variable ratio of the equipment temperature rise load performance index. The application relates to an electronic device and a storage medium, which are used for executing the above method. The application applies the load current and temperature relationship model to the monitoring and diagnosis of the power equipment, greatly promotes the development of the power equipment state monitoring and diagnosis technology, improves the accuracy and reliability of the power equipment monitoring and diagnosis, and well solves the inherent problems existing in the power equipment state monitoring and diagnosis.

To improve the cooling performance of the GFI and transformer located inside the cubicle. [Solution] In a cubicle housing multiple devices, the temperature control device includes a temperature sensor provided in the device, a temperature measuring unit that collects temperature information measured from the temperature sensor, and a cooling control unit that refers to an operating temperature table storing the operating temperature ranges of multiple devices, compares the temperature of the device obtained from the temperature measuring unit with the operating temperature range of the device obtained from the operating temperature table, determines whether the device is approaching the upper limit of its operating temperature range, and instructs the cooling device to start up when it is determined that the device is approaching the upper limit of its operating temperature range.

The utility model discloses an outdoor photovoltaic grid-connected cabinet, which comprises an outdoor box and a plurality of grid-connected cabinet bodies, the outdoor box is sleeved outside the grid-connected cabinet bodies, the upper end of the outdoor box is provided with a top cover, the top end of the inside of the top cover is provided with a fixed support and a top beam, the surface of the top beam is provided with an axial flow fan, the front end of each grid-connected cabinet body is provided with an instrument door, and the instrument doors are connected with the instrument doors. A temperature controller is installed on the instrument door, a sensor of the temperature controller is installed on the top of the grid-connected cabinet body, and the temperature controller is used for receiving temperature information of the sensor of the temperature controller and controlling the axial flow fan to work. According to the utility model, the defect that the existing grid-connected cabinet is easily influenced by outdoor temperature, so that the temperature of equipment is too high and the safety operation of the equipment is not facilitated is overcome.

This application relates to the field of power distribution cabinet operation status monitoring technology, specifically disclosing an intelligent monitoring method and system for power distribution cabinet operation status. The method mainly includes: determining a specified number of time points t within a day; acquiring real-time monitoring data and historical monitoring data; determining the equipment reference temperature RT1_nt, external reference temperature RA_t, and reference current load RC_nt based on the historical monitoring data; constructing an equipment temperature reference interval ST1_nt based on the equipment reference temperature RT1_nt; and determining whether the equipment temperature TE_nt of equipment En in the real-time monitoring data is within the range of the equipment temperature reference interval ST_nt. This application can construct a dynamic reference temperature interval under similar conditions and monitor the changes in equipment temperature and current load in real time. Even with small changes, potential problems can be quickly detected through abnormal fluctuations, allowing for early discovery of abnormal trends in equipment operation, thereby preventing small problems from developing into major failures and improving equipment safety and stability.

An apparatus includes a first variable resistor having a first resistor control terminal and a second variable resistor having a second resistor control terminal. The apparatus also includes a temperature sensing circuit having a temperature sensing output, the temperature sensing circuit configured to provide a device temperature indication at the temperature sensing output. Additionally, the apparatus includes a controller having a controller input, a controller output, the controller input coupled to the temperature sensing output, the controller output coupled to the first resistor control terminal and to the second resistor control terminal, the controller configured to produce a control signal at the controller output responsive to the device temperature indication.

The invention discloses a construction method of an equipment temperature custom sorting table under new energy configuration and a related device. The construction method comprises the following steps: editing a configuration file; reading the configuration file, extracting the width, the height and the segmentation number of the table, and storing the mapping relation between the component name and the measuring point into a memory cache; reading the temperature value of each measuring point; the temperature values of all the measuring points are sorted, a sorting table is constructed according to the sorting result, the width and height of the table, segmentation data and the mapping relation between the component names and the measuring points, and the method and the related device can meet the quick response requirement of new energy equipment for temperature anomaly.

The invention discloses a refrigerator temperature monitoring system adopting a mobile phone terminal to receive temperature control conditions, and belongs to the technical field of refrigerator temperature monitoring. A data storage module is electrically connected with a curve graph printing module, a warning module is electrically connected with a remote control module, and the electric remote control module is electrically connected with a refrigerator module; the data debugging module is electrically connected with the refrigerator temperature monitoring system assembly and the warning module, the equipment is associated with a temperature monitoring device, the temperature is recorded at a fixed time point, an alarm prompt can be given when the temperature measured by the temperature measuring piece exceeds a range, and a temperature monitoring curve graph can be automatically generated; the measured data is transmitted to a computer, a curve graph is printed according to the set time, the data can be transmitted to a mobile phone if the temperature exceeds the limit, and the data can be transmitted to the mobile phone for reminding through an information transmission system when the temperature change is within a set output range; and the effect of defense is achieved.

The utility model discloses electrical element environment simulation durability experiment equipment, which comprises a simulation box, a temperature simulation mechanism, a humidity simulation mechanism, an exhaust assembly and a temperature and humidity transmitter, and is characterized in that a box door is arranged on the simulation box; the temperature simulation mechanism comprises a fresh air pipe, a circulating fan, a heating bag assembly and a box body heating bag flange which are connected in sequence; the humidity simulation mechanism comprises a humidifier and a humidifying straight pipe, the humidifying straight pipe is connected to the output end of the humidifier, and the humidifying straight pipe extends into the box body heating bag flange; the air exhaust assembly comprises an air exhaust pipe and an air exhaust fan which are mounted at the top of the simulation box, and the air exhaust pipe is communicated with the interior of the simulation box; and the function end of the temperature and humidity transmitter is arranged in the simulation box. According to the electrical element environment simulation durability experiment equipment, the temperature and the humidity can be independently adjusted, the electrical element is placed in a simulation box similar to an actual application environment, and various working performances and the service life of the electrical element are tested.

The invention relates to the technical field of semiconductor test equipment, and discloses a multivariable decoupling method for a temperature control system of test equipment, comprising the following steps: S1, establishing a generalized internal model control framework containing a main response and a coupling term; s2, multi-frequency orthogonal disturbance signals which do not interfere with master control are injected into control input, and coupling characteristics are detected; s3, collecting controlled output; s4, extracting an output response of the disturbance frequency component by using multi-channel synchronous demodulation; s5, calculating a frequency response data point of the coupling path according to the response and disturbance amplitude; s6, fitting the dynamic model to obtain coupling path parameters; s7, using the fitting model to update coupling terms of the GIMC internal model matrix; and S8, decoupling compensation is adjusted in real time. According to the invention, on-line adaptive identification and compensation of coupling characteristics are realized, the precision, stability and response speed of temperature control of semiconductor test equipment are improved, and coupling characteristic time variation of the test equipment caused by working point change or equipment aging can be automatically adapted.

The present application relates to temperature detection technical field, especially to a kind of sintering equipment temperature detection method, device and electronic equipment.The sintering equipment temperature detection method includes: the perception signal of each sintering zone collected by infrared detection equipment is acquired;According to the target visual temperature feature map of each sintering zone generated by perception signal;According to the order of infrared detection equipment through sintering zone, the target visual temperature feature map of each sintering zone is spliced to form integral visual temperature feature map;Wherein, the target visual temperature feature map corresponding to each sintering zone in integral visual temperature feature map forms sintering zone mark.The present application technical scheme is conducive to accurately obtaining the temperature condition of each sintering zone in sintering equipment, and it is convenient for user to adjust and optimize in time according to the temperature of each sintering zone, and the quality and performance of product can be ensured.

The utility model belongs to the technical field of protection devices, and particularly relates to a temperature detection device for live equipment, which comprises a detection host, a temperature detection assembly is arranged at the bottom of the detection host, a detection needle is arranged at the detection end of the temperature detection assembly, and a connecting disc is fixedly connected to the outer side of the top of the detection needle. First clamping grooves are formed in the two sides of the connecting disc, a fixing assembly is arranged on the outer side of the connecting disc, second bolts which are evenly distributed are arranged at the fixing end of the fixing assembly, and clamping pieces are arranged on the inner sides of the second bolts; according to the live equipment temperature detection device provided by the utility model, the second clamping groove and the first clamping groove are clamped at the same time through the clamping piece, so that the connecting disc and the connecting ring are fixedly connected, the detection host and the temperature detection assembly are rapidly detached from the fixing assembly by rapidly detaching the connecting piece, no extra tool is needed, and the cost is reduced. Installation and detachment are quicker and more convenient, operation efficiency is greatly improved, and downtime is shortened.