16 results about "Joint temperature" patented technology

The invention relates to the technical field of welding processing, and discloses a dissimilar metal welding joint temperature field optimization control method and system. Real-time temperature field scanning is conducted on the dissimilar metal welded joint, image segmentation processing is conducted on a temperature field image obtained through scanning, temperature data of a weld joint area, a heat affected area and a base metal area are extracted, and whether the temperature gradient exceeds a preset threshold value or not is judged; aiming at an area with non-uniform distribution of heat input quantity, analyzing the performance of the welding joint under the combined action of thermal stress and mechanical stress, obtaining the difference between residual stress distribution and plastic deformation capacity, and analyzing a stress concentration area by combining with the yield strength of the material; and a mapping relation between the welding process parameters and temperature field distribution is established, and a welding process parameter adjustment prediction model is obtained through historical welding process parameters and corresponding temperature field data training in combination with heat flux density distribution. The problems of uneven heat input, stress concentration and the like in dissimilar metal welding are effectively solved, and the welding quality and efficiency are improved.

The invention discloses a high-voltage cable joint temperature online monitoring method based on sensor data fusion. The method comprises the following steps: data acquisition: acquiring a first temperature data sequence T1i, a second temperature data sequence T2i and an environment temperature data sequence Ei of a plurality of temperature sensors at the position of a high-voltage cable joint; data fusion: fusing the data to generate a fused temperature data sequence Fi; abnormal detection: calculating a temperature change coefficient, a temperature difference coefficient and a temperature change rate of each temperature sensor according to the fused temperature data sequence Fi, and generating an abnormal quantized value Qi of each temperature sensor; and judging result generation: comparing the abnormal quantized value Qi with a preset threshold value Qth, and judging whether each temperature sensor has a temperature abnormal condition or not. According to the invention, by fusing the data from the plurality of temperature sensors and the environment temperature information, the accuracy and reliability of temperature monitoring are improved, and the anti-interference capability and the intelligent level of the system are enhanced.

The invention relates to the technical field of bus joint temperature measurement, and discloses a method for automatically monitoring the temperature of each phase busbar for infrared temperature measurement of a bus joint, and the method comprises the steps: collecting the surface temperature data and real-time images of each phase busbar of the bus joint in real time through installing an infrared temperature measurement sensor and image collection equipment. After preprocessing, temperature data is converted into an image form, and the image form and a bus bar real-time image are superposed to generate a fusion image, so that the actual form and the temperature distribution condition of the bus bar can be observed at the same time. Through presetting a high temperature early warning threshold value and a temperature gradient change threshold value, a temperature gradient direction is calculated and a change trend is analyzed so that prediction and early warning of temperature abnormity are realized. And when the temperature or temperature gradient change exceeds a preset threshold value, an early warning mechanism is triggered, an alarm signal is sent out, and an abnormal position and related information are displayed through a visual interface. According to the invention, the use safety and reliability of the bus duct are improved, and the fault risk caused by abnormal temperature is reduced.

The invention relates to the technical field of temperature control, and discloses an intelligent welding temperature control method and system based on multi-sensor fusion, and the method comprises the steps: obtaining a welding spot temperature distribution matrix, contact pressure data and wetting angle data; performing environment interference identification and compensation to obtain an environment correction temperature matrix; performing thermal resistance calculation to obtain a dynamic contact thermal resistance value; identifying a solder phase change state identifier; according to the method, the control gain parameters are adjusted in real time according to the solder phase change state identification and the dynamic contact thermal resistance value, intelligent self-adaption of the control strategy is achieved, and the problem that adaptability of fixed parameter control in different welding stages is insufficient is solved.

The invention relates to the technical field of cable joint temperature monitoring, and discloses a cable joint temperature monitoring method and system. A target model is constructed based on equipment data of a cable intermediate joint, regions are divided according to geometric shapes and materials to form a topological structure, and an initial thermal circuit model is constructed in combination with temperature field distribution and a thermal resistance branch; and optimizing the model by using the real-time temperature data, and finally judging the running state of the joint through the thermal circuit model. Complex grid discretization is replaced by an equivalent thermal resistance branch through a thermal circuit model, and the calculation speed is remarkably increased; through topological structure division, the limitation of an analytical method on a regular shape is broken through, and a special-shaped structure can be accurately processed; and the thermal circuit model maps an actual boundary through a thermal resistance parameter, so that an error caused by boundary simplification in an analytical method is avoided. The technical problems that a numerical method and an analytical method adopted by a traditional cable connector need to consider grid division and numerical stability, so that the calculation speed is low, and complex geometrical shapes and boundary conditions cannot be accurately analyzed are solved.

The invention discloses a temperature and emissivity joint inversion method for multispectral temperature measurement, and relates to the field of non-contact temperature measurement of high-temperature targets. In order to solve the defect that in the prior art, combined inversion of the emissivity cannot be realized under the condition that the emissivity does not need to be known in advance, the technical scheme provided by the invention comprises the following steps: establishing a multispectral temperature measurement model, constructing a temperature calculation model under each channel, and outputting a plurality of sub-objective functions for optimization; constructing a weighted objective function used for optimization solution; outputting a global optimal solution as an initial point; constructing an optimization model with a penalty function, and outputting the target temperature and the spectral emissivity; and performing simulation verification based on the inversion result, performing error evaluation by setting a typical emissivity curve and a real temperature, and outputting an algorithm precision index. The method is suitable for non-contact high-precision temperature and emissivity combined measurement of a high-temperature target in a complex spectrum environment.

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 present invention discloses a flip chip interconnect reliability test method and computer equipment, the method manufactures a test chip for a flip chip that needs to be tested for reliability, the test chip adopts the same packaging process as the actual chip, realizes the interconnection between the chip and the substrate through a multi-channel independent daisy chain solder joint structure, realizes solder joint temperature monitoring through built-in temperature measuring elements at the chip end and the substrate end, realizes solder joint temperature stress loading through built-in heating elements at the chip end and the substrate end, realizes temperature control of the chip and current loading of the interconnect solder joint through external current stress loading, and thus can realize reliability tests such as high temperature, power cycle, electromigration and thermal migration. The present invention can effectively solve the problems that the traditional solution needs to carry multiple sets of temperature control equipment, a large number of test samples, the thermal gradient difference is difficult to quantify and evaluate during the thermal migration test, and the actual temperature of the solder joint during the electromigration test is higher than the temperature set by the temperature control equipment.

The application relates to the technical field of power equipment temperature monitoring, and discloses a cable branch box joint temperature rise monitoring method, which is used for solving the problems that the surface temperature is difficult to reflect the internal real temperature rise in time, early warning lag or missed report is caused, and the surface temperature of adjacent joints is abnormally high, which causes false report in traditional methods; the method first collects and checks the surface temperature of the joint, the box internal environment temperature and the load current, separates the environment temperature influence and the interphase thermal interference, compensates the surface temperature rise in combination with the heat transfer lagging relationship, then determines the internal temperature rise according to the structure heat transfer relationship and discriminates the abnormality of the change state, and accurate identification and timely early warning of the internal abnormal heating of the cable branch box joint are realized.

The utility model relates to joint temperature rise detection technical field discloses a joint temperature rise detection device, including sliding rheostat, the outside sliding connection of sliding rheostat has sliding ring, the rear end fixed connection of sliding ring has the limit post, the front end fixed connection of limit post has fixed link no.

The invention relates to the technical field of intelligent sensing systems, in particular to a power distribution cable connector temperature monitoring method and system based on a wireless sensor network, and the method comprises the steps: decoupling load influence through neighborhood collaborative analysis, and fusing spatial-temporal characteristics to construct a first temperature anomaly index; based on the temperature difference between each joint and all joints in the neighborhood thereof at each moment, determining a second temperature anomaly index of each joint at each moment; and based on the load temperature rise value, the first temperature anomaly index and the second temperature anomaly index, determining a comprehensive anomaly index of each joint at each moment so as to judge whether the temperature of each joint at the current moment is abnormal or not. According to the method, the problem of false alarm and missing alarm caused by neglecting node relevance and fixed threshold limitation in a traditional monitoring method is solved, and the accuracy and reliability of temperature monitoring of the power distribution cable connector are improved.

This application discloses a control method and system for preventing fall in a humanoid robot arm, belonging to the field of robot control technology. The method first collects temperature data and output torque data of each joint of the humanoid robot, as well as the current posture and load information of the arm. Based on the above data, it determines the remaining time before the temperature of each joint rises to the safe upper limit and the shortest movement time for the arm to move from the current posture to a safe position. The remaining time is compared with the shortest movement time, and the output torque limit of each joint is dynamically adjusted according to the comparison result. Based on the output torque limit, a smooth descent control command for the arm is generated. This invention can achieve active graded protection against joint overheating, preventing the arm from falling uncontrollably. It can also generate a descent trajectory without mechanical impact and automatically resume operation after the temperature recovers, significantly improving the safety of robot operation, the continuity of operation, and the service life of the equipment.

The invention provides a cable joint fault detection method and device, electronic equipment and a storage medium, and belongs to the technical field of cable fault detection, and the method comprises the steps: correcting a cable joint temperature based on a temperature compensation coefficient and cable environment temperature data, and obtaining a target joint temperature; calculating a partial discharge effective value based on the partial discharge pulse amplitude data of the cable joint, and calculating a contact resistance change rate based on the contact resistance data of the cable joint; constructing fusion features based on the target joint temperature, the partial discharge effective value and the contact resistance change rate, and determining a fault judgment result based on the fusion features; and if the fault determination result is a fault, determining a fault type determination result based on the fusion feature, the historical cable joint temperature data, the historical cable environment temperature data, the historical partial discharge pulse amplitude data and the historical contact resistance data. According to the invention, accurate determination of the fault type of the cable joint can be realized.

The application discloses a kind of cable intermediate joint temperature measurement method and system based on thermomagnetic noise signal, it is related to cable joint temperature measurement field, the precision and stability of existing temperature measurement method under complex environment are influenced by external factors, it is easy to cause measurement error.The present application comprises the following steps: obtaining the material information and physical size of the shielding layer of cable joint;Establish the relationship model between the intensity level of thermomagnetic noise and temperature;The magnetic field intensity signals B1, B2 at the center of the shielding layer are obtained by measuring with two magnetometers;The intensity of thermomagnetic noise signal at the center is obtained;According to the obtained thermomagnetic noise signal intensity, according to the model, the temperature under the corresponding thermomagnetic noise signal intensity is calculated, and the cable joint temperature data T is obtained.The technical scheme compared with traditional measurement method has the advantages of high precision, not sensitive to environmental changes and suitable for long-term stable operation scene.

The invention relates to the technical field of power equipment, in particular to a ring main unit cable connector temperature expansion compensation sliding rail device and a using method thereof. The device comprises double sliding rails parallelly mounted on the inner wall of the ring main unit, sliding blocks are slidably embedded in sliding grooves of the sliding rails, springs are elastically connected between the sliding blocks and the sliding rails, and the sliding blocks are provided with adjustable clamping assemblies through connecting plates; the clamping assembly comprises an adjusting rod and a symmetrical cable clamp, spacing adjustment is achieved through a T-shaped block-T-shaped groove structure, and bolts are detachably locked. The use method comprises the steps of parameter acquisition and calculation, device assembly and adjustment, cable positioning and fixing, compensation performance detection and dynamic maintenance. The expansion and contraction displacement of the cable joint can be accurately compensated, cables of different specifications can be adapted, installation and maintenance are convenient, operation is stable and reliable, the cable joint is effectively prevented from being damaged due to expansion and contraction deformation, and safe operation of a power system is guaranteed.

The present invention discloses a cable joint temperature prediction method and system, which relates to the field of power cable technology, including constructing and solving a thermal circuit model of a cable joint to be tested, obtaining the temperature distribution of each time step; obtaining the historical operation data of the cable joint to be tested and preprocessing it; constructing and training a temperature prediction model based on the processed historical operation data and temperature distribution to obtain a trained temperature prediction model; collecting the current operation data of the cable joint to be tested and inputting it into the thermal circuit model to calculate the current temperature distribution, inputting the current temperature distribution and the current operation data into the trained temperature prediction model, and predicting the temperature of the cable joint within a future set time period. Combining the physical laws of the thermal circuit model with the data-driven temperature prediction model fully utilizes the accuracy of the physical model and the data-driven advantages of the network model to improve the overall accuracy of temperature prediction.