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CN-121994374-A - Electrical equipment fault prediction temperature measuring device based on AI

CN121994374ACN 121994374 ACN121994374 ACN 121994374ACN-121994374-A

Abstract

The application discloses an AI-based electrical equipment fault prediction temperature measurement device, which belongs to the technical field of electrical equipment fault monitoring, and comprises a control system, a temperature sensor fixedly arranged at one side of a circuit breaker in an electrical switch cabinet body, an early warning machine fixedly arranged at the outer side of a cabinet door, and an anti-interference structure arranged in the electrical switch cabinet body at the position corresponding to the circuit breaker and the temperature sensor and used for blocking interference of external airflow to temperature monitoring when the cabinet door is opened. This electrical equipment fault prediction temperature measuring device based on AI opens through the expansion of drive assembly drive flexible curtain and shelters from temperature sensor and circuit breaker in the mounting groove, and the instantaneous interference of outside air current of physical separation ensures temperature data acquisition's stability, can realize opening time period temperature data's accurate mark simultaneously through setting up data processing structure, reduces the AI model misjudgement that the environment mutation leads to, promotes AI fault prediction accuracy.

Inventors

  • CAO LEI
  • ZHANG JING

Assignees

  • 陕西西驰电气有限公司

Dates

Publication Date
20260508
Application Date
20260316

Claims (8)

  1. 1. An AI-based electrical equipment fault prediction temperature measurement device comprises a control system, a temperature sensor (3) fixedly arranged at one side of a circuit breaker in an electrical switch cabinet body (1) and used for monitoring the temperature of the circuit breaker, and an early warning machine (4) fixedly arranged at the outer side of a cabinet door (2) and used for displaying temperature data or fault early warning information; The electrical equipment fault prediction temperature measurement device is characterized by further comprising an anti-interference structure (5) which is arranged in the electrical switch cabinet body (1) and corresponds to the position of the circuit breaker and the temperature sensor (3) and used for blocking the interference of external air flow on temperature monitoring when the cabinet door (2) is opened; The anti-interference structure (5) comprises a mounting groove (51) fixedly arranged in the electrical switch cabinet body (1) and used for accommodating the temperature sensor (3) and the circuit breaker, a telescopic curtain (52) arranged on one side of an opening of the mounting groove (51) and used for shielding the outer sides of the temperature sensor (3) and the circuit breaker, and a driving assembly (53) arranged on the electrical switch cabinet body (1) and used for driving the telescopic curtain (52) to expand and contract; A data processing structure (6) connected with the driving assembly (53) and used for starting a data mark along with the expansion of the telescopic curtain (52) or closing the data mark along with the contraction of the telescopic curtain is arranged on one side of the mounting groove (51); The temperature sensor (3) and the data processing structure (6) are connected with the input end of the control system, and the early warning machine (4) and the driving component (53) are connected with the output end of the control system.
  2. 2. The AI-based electrical equipment fault prediction temperature measurement device of claim 1, wherein the driving assembly (53) comprises an electric telescopic rod (531) fixedly installed on one side of the electrical switch cabinet body (1) corresponding to the opening of the installation groove (51), and a connecting block (532) fixedly connected to the telescopic end of the electric telescopic rod (531) and fixedly connected to one end of the telescopic curtain (52), wherein one end of the telescopic curtain (52) far away from the connecting block (532) is fixedly connected to the side wall of the opening of the installation groove (51), and the electric telescopic rod (531) is connected to the output end of the control system.
  3. 3. The AI-based electrical equipment fault prediction temperature measurement device of claim 2, wherein a guide groove (11) is formed in the electrical switch cabinet body (1), and the connecting block (532) is slidably connected in the guide groove (11).
  4. 4. The AI-based electrical equipment failure prediction temperature measurement apparatus as set forth in claim 2, wherein said retractable curtain (52) is made of an insulating cloth material.
  5. 5. The AI-based electrical equipment failure prediction temperature measurement device of claim 2, wherein the data processing structure (6) comprises a data marking module, a mounting frame (61) fixedly connected to the outer side of the mounting groove (51) and positioned below one end of the connecting block (532) far away from the electric telescopic rod (531), a rotary switch (62) fixedly mounted on the mounting frame (61) and electrically connected with the data marking module for opening and closing the data marking module, and a transmission assembly (63) fixedly connected to one end of the connecting block (532) far away from the electric telescopic rod (531) and connected with the rotary switch (62) for triggering the opening and closing of the rotary switch (62) along with the sliding of the connecting block (532).
  6. 6. The AI-based electrical equipment failure prediction temperature measurement device as set forth in claim 5, wherein the transmission assembly (63) comprises a rack (631) fixedly connected to one end of the connection block (532) away from the electric telescopic rod (531), a concave frame (633) fixedly mounted on the mounting groove (51) and located inside the mounting frame (61), a gear (632) rotatably provided on the concave frame (633) for meshing with the bottom of the rack (631), and a rotating shaft (634) transversely penetrating through the concave frame (633) and the gear (632) and fixedly connected with the gear (632), wherein the rotating shaft (634) is rotatably connected to the concave frame (633), and one end of the rotating shaft (634) away from the concave frame (633) is fixedly connected with a knob on the rotary switch (62).
  7. 7. The AI-based electrical equipment failure prediction temperature measurement device of claim 5, wherein the data tagging module is coupled to an input of a control system.
  8. 8. The AI-based electrical equipment failure prediction temperature measurement device as set forth in claim 1, further comprising a position sensor (7) disposed at one side of the opening of the electrical switch cabinet body (1) for detecting the open/close state of the cabinet door (2), wherein the position sensor (7) is connected to an input terminal of a control system.

Description

Electrical equipment fault prediction temperature measuring device based on AI Technical Field The application relates to the technical field of electrical equipment fault monitoring, in particular to an AI-based electrical equipment fault prediction temperature measuring device. Background In the running process of the existing electrical equipment, the internal temperature is an important index for reflecting the working states of key components such as a circuit breaker and the like, and the temperature monitoring and fault prediction technology based on AI is widely applied to the electrical switch cabinet body. The technology generally collects equipment operation temperature data in real time through a temperature sensor, and learns and analyzes temperature change trend, fluctuation characteristics and abnormal rules by utilizing an AI model, so that potential faults such as equipment overheating, poor contact, loose connection and the like are prejudged in advance, and a basis is provided for safe operation and maintenance of electrical equipment. The Chinese patent publication No. CN218156538U discloses a temperature early warning device for electrical equipment. The intelligent temperature-measuring device realizes accurate temperature measurement, directional temperature reduction, overtemperature early warning and fire self-rescue of electrical equipment through multipoint temperature detection, adjustable direction temperature-reducing components, acousto-optic and remote early warning and built-in fire extinguishing balls, and improves equipment operation safety and maintenance efficiency. However, in practical application, when the cabinet door is required to be opened during overhauling and operation of the temperature measurement fault prediction device, external cold air can directly enter the cabinet and impact the temperature measurement point and the sensor, so that temperature data are instantaneously jumped to form non-fault severe interference, meanwhile, the fault prediction model of the AI electric equipment fault monitoring technology is difficult to effectively distinguish false anomalies caused by real fault temperature rise, cabinet door opening, load switching and other environments or working condition mutation, false alarms are extremely easy to generate, frequent false alarms not only can reduce the trust degree of operation and maintenance personnel on early warning information, influence the actual fault treatment efficiency, but also can destroy the stability and reliability of judgment of the fault monitoring technology model of the AI electric equipment fault monitoring technology, and cannot provide accurate guarantee for safe operation of the electric equipment. Accordingly, the present application provides an AI-based electrical equipment failure prediction temperature measurement device to solve the above-described problems. Disclosure of Invention The application provides an AI-based electrical equipment fault prediction temperature measurement device, which aims to solve the problems that the existing electrical equipment fault prediction temperature measurement device is easy to be impacted by cold air to cause temperature data distortion when a cabinet door is opened, and an AI model cannot effectively distinguish false anomalies caused by fault temperature rise and environmental interference, so that false alarms are frequently generated, the early warning reliability and operation and maintenance trust degree are reduced, and the like. The technical scheme includes that the AI-based electrical equipment fault prediction temperature measuring device comprises a control system, a temperature sensor fixedly arranged at one side of a breaker in an electrical switch cabinet body and used for monitoring the temperature of the breaker, and an early warning machine fixedly arranged at the outer side of a cabinet door and used for displaying temperature data or fault early warning information; The electrical equipment fault prediction temperature measurement device further comprises an anti-interference structure which is arranged in the electrical switch cabinet body and corresponds to the position of the circuit breaker and the temperature sensor and used for blocking the interference of external air flow on temperature monitoring when the cabinet door is opened; the anti-interference structure comprises an installation groove fixedly arranged in the electrical switch cabinet body and used for accommodating the temperature sensor and the circuit breaker, a telescopic curtain arranged on one side of an opening of the installation groove and used for shielding the outer sides of the temperature sensor and the circuit breaker, and a driving assembly arranged on the electrical switch cabinet body and used for driving the telescopic curtain to expand and contract; one side of the mounting groove is provided with a data processing structure which is connected with the driv