Abnormal alarm system and method for welding equipment

Abstract

The invention discloses a welding equipment abnormity alarm system and method. The system comprises a permission generation module, a data acquisition module and an anomaly detection module, and the permission generation module is used for determining operation permission information of a target user on target welding equipment and sending the operation permission information to the data acquisition module; the data acquisition module is used for acquiring target operation data corresponding to the target welding equipment based on the operation authority information; and the anomaly detection module is used for determining target alarm information corresponding to the welding equipment on the basis of the target operation data, and carrying out anomaly alarm on the basis of the target alarm information. According to the invention, automatic abnormity alarm can be carried out on the welding equipment, the labor cost is greatly reduced, the efficiency and accuracy of abnormity alarm of the welding equipment are improved, the timeliness of abnormity alarm of the welding equipment is ensured, missing detection and false detection are avoided, and the method can adapt to dynamic change of the equipment operation environment, so that the safety of equipment operation is ensured.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to an alarm system and method for abnormal welding equipment. Background Technology

[0002] With the continuous development of industrial production and welding operations, welding equipment has been widely used in many industries, and the requirements for the real-time performance, accuracy, and scenario generalization ability of welding equipment abnormal alarms are increasing day by day.

[0003] Currently, traditional methods for alarming welding equipment malfunctions often rely on manual inspections. However, these methods are inefficient and inaccurate, involve high labor costs, cannot guarantee timely alarms, are prone to missed or false alarms, and are ill-suited to adapting to dynamic changes in the welding equipment's operating environment, thus compromising equipment safety. Summary of the Invention

[0004] This invention provides a welding equipment abnormality alarm system and method to achieve automatic abnormality alarm for welding equipment, greatly reduce labor costs, improve the efficiency and accuracy of welding equipment abnormality alarm, ensure the timeliness of welding equipment abnormality alarm, avoid missed detection and false detection, and can adapt to the dynamic changes of equipment operating environment, thereby ensuring the safety of equipment operation.

[0005] According to one aspect of the present invention, a welding equipment abnormality alarm system is provided, the system comprising: an access control module, a data acquisition module, and an anomaly detection module, wherein,

[0006] The permission generation module is used to determine the target user's operation permission information for the target welding equipment, and send the operation permission information to the data acquisition module;

[0007] The data acquisition module is used to acquire target operating data corresponding to the target welding equipment based on the received operation permission information, and send the target operating data to the anomaly detection module;

[0008] The anomaly detection module is used to determine the target alarm information corresponding to the target welding equipment based on the received target operating data, and to issue an anomaly alarm based on the target alarm information.

[0009] According to another aspect of the present invention, a method for alarming abnormalities in welding equipment is provided, the method comprising:

[0010] The permission generation module determines the target user's operation permission information for the target welding equipment and sends the operation permission information to the data acquisition module.

[0011] The data acquisition module obtains the target operating data corresponding to the target welding equipment based on the received operation permission information, and sends the target operating data to the anomaly detection module.

[0012] The anomaly detection module determines the target alarm information corresponding to the target welding equipment based on the received target operation data, and issues an anomaly alarm based on the target alarm information.

[0013] The welding equipment anomaly alarm system of this invention includes: a permission generation module, a data acquisition module, and an anomaly detection module. The permission generation module determines the operation permission information of a target user for a target welding equipment and sends this information to the data acquisition module, thereby effectively preventing unauthorized operations that could lead to misoperations or malicious actions, and reducing the risk of production accidents. The data acquisition module acquires target operating data corresponding to the target welding equipment based on the received operation permission information and sends this data to the anomaly detection module, enabling real-time acquisition and transmission of all welding process parameters, ensuring timely detection of abnormal states, and reducing manual inspection costs. The anomaly detection module determines the target alarm information corresponding to the target welding equipment based on the received target operating data and triggers an anomaly alarm based on this information, improving the efficiency and accuracy of welding equipment anomaly alarms. This invention ensures operational security through a permission generation module, enables full-process monitoring through a data acquisition module, and provides accurate early warnings through an anomaly detection module, forming a closed-loop management system of "data acquisition-analysis-decision". This improves the efficiency and accuracy of welding equipment anomaly alarms, ensures the timeliness of welding equipment anomaly alarms, avoids missed and false alarms, and can adapt to dynamic changes in the equipment operating environment, thereby significantly improving welding quality, production efficiency, and equipment reliability.

[0014] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the structure of a welding equipment abnormality alarm system provided in Embodiment 1 of the present invention;

[0017] Figure 2 This is a flowchart of a welding equipment abnormality alarm method provided according to Embodiment 2 of the present invention. Detailed Implementation

[0018] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0019] It should be noted that the terms "first," "second," "target," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0020] Example 1

[0021] Figure 1 This is a schematic diagram of a welding equipment abnormality alarm system provided in Embodiment 1 of the present invention. Figure 1 As shown, the system includes: a permission generation module 101, a data acquisition module 102, and an anomaly detection module 103, wherein...

[0022] The permission generation module 101 is used to determine the operation permission information of the target user on the target welding equipment and send the operation permission information to the data acquisition module 102.

[0023] The data acquisition module 102 is used to acquire the target operation data corresponding to the target welding equipment based on the received operation permission information, and send the target operation data to the anomaly detection module 103;

[0024] The anomaly detection module 103 is used to determine the target alarm information corresponding to the target welding equipment based on the received target operation data, and to issue an anomaly alarm based on the target alarm information.

[0025] In this embodiment, the permission generation module can determine the target user's operation permission information for the target welding equipment based on the target user's activation operation, and send the operation permission information to the data acquisition module. This effectively avoids misoperation or malicious operation caused by unauthorized operation, reducing the risk of production accidents. The target user can refer to the specific operator of the welding equipment, who must pass permission verification before performing the corresponding operation. For example, the target user can be a welder. The target welding equipment can refer to the actual welding equipment required by the target user to perform specific welding operations. The operation permission information can refer to the target user's operation permission for the target welding equipment and the activation status of the target welding equipment.

[0026] The data acquisition module receives operation permission information. Responding to the information that the target user has operation permissions for the target welding equipment and that the target welding equipment is in an active state, it collects status data from the sensors configured on the target welding equipment, acquires the corresponding target operating data, and sends this data to the anomaly detection module. This enables real-time acquisition and transmission of all parameters during the welding process, ensuring that abnormal states are detected promptly and reducing manual inspection costs. The target operating data can refer to real-time or historical status data generated by the target welding equipment during operation.

[0027] The anomaly detection module can perform anomaly analysis on received target operating data. For example, anomaly analysis can include anomaly type (e.g., overcurrent, abnormal temperature, equipment failure), severity (e.g., primary / intermediate / high-level alarm), occurrence time, equipment location, and possible causes (e.g., power failure), generating target alarm information corresponding to the target welding equipment, and issuing anomaly alarms based on this information, thus improving the efficiency and accuracy of welding equipment anomaly alarms. The target alarm information refers to the warning or alarm information generated by the anomaly detection module after determining equipment anomalies based on the target operating data.

[0028] Optionally, the permission generation module 101 includes: a request generation unit and a permission generation unit, wherein the request generation unit is used to generate a device operation request from the target user to the target welding equipment; and the permission generation unit is used to determine the target user's operation permission information for the target welding equipment based on the device operation request from the target user to the target welding equipment.

[0029] Among them, a device operation request can refer to a request from a target user to perform a specific welding operation using the target welding equipment.

[0030] Specifically, each welding machine can be equipped with a unique QR code. A request generation unit responds to a user's scan of the QR code corresponding to the target welding machine, confirming the user's request for operation. An access control unit simultaneously assesses the user's access permissions and the machine's status based on the request, determining the user's operational permissions. Through standardized request management and access control, safe, efficient, and traceable welding machine operation can be achieved.

[0031] Optionally, the request generation unit includes: an identity authentication subunit and a request generation subunit, wherein the identity authentication subunit is used to determine the identity authentication information corresponding to the target user, and to perform identity authentication on the target user based on the identity authentication information, and to determine the identity authentication result corresponding to the target user; the request generation subunit is used to obtain the device opening information of the target welding equipment, and to determine the device operation request of the target user on the target welding equipment based on the identity authentication result and the device opening information.

[0032] In this context, identity authentication information can refer to the raw data set used to verify a user's identity. Identity authentication result can refer to the conclusion output after verifying the identity authentication information, including authentication success and failure. Equipment activation information can refer to real-time status data generated during the startup or operation of the target welding equipment, reflecting whether the equipment currently meets the operating conditions.

[0033] Specifically, the target users can be welders. Before using the equipment, all welders need to register and authenticate their personal identities through the management platform. This process includes entering the welder's personal information (such as employee ID, qualification certificate upload, etc.) and identity verification. The system will then determine the welder's operating permissions based on the welder's authentication and certificate information, ensuring that only legally qualified personnel can operate the welding machine. Each welding machine is equipped with a unique QR code. Before operation, welders use their mobile devices to scan the welding machine's QR code for identity authentication. The identity authentication subunit is used to respond to the target user's scanning of the welding machine's QR code, obtain the target user's corresponding identity authentication information, verify the target user's identity through network connection, confirm their legitimacy, grant operating permissions, and generate the target user's corresponding identity authentication result. It should be noted that the target user needs to scan the code again to verify their identity each time they perform an operation. Operation actions (such as starting and stopping the equipment, adjusting welding machine parameters, etc.) will be recorded in real time on the management platform. The request generation subunit is used to obtain the device activation information of the target welding equipment when the target user's identity authentication result is successful (i.e., they have operation permissions). Based on the identity authentication result and the device activation information, it generates a device operation request from the target user to the target welding equipment. Through the strong identity authentication of the identity authentication subunit and the intelligent request construction of the request generation subunit, the entire process of security control from user identity to device operation is realized, significantly improving the safety factor and intelligence level of welding production.

[0034] Optionally, the request generation sub-unit is specifically used to: in response to the target user's remote start operation on the target welding equipment, obtain the equipment start information of the target welding equipment, and combine and encrypt the identity authentication result and the equipment start information to determine the target user's equipment operation request on the target welding equipment.

[0035] Specifically, after successful authentication of the target user, the system can respond to the target user's remote switching of the welding equipment (welding machine) via a mobile device (such as a mobile app or a dedicated platform interface), obtain the equipment activation information of the target welding equipment, and combine and encrypt the authentication result and equipment activation information to confirm the target user's equipment operation request for the target welding equipment. It should be noted that each start-up and shutdown of the welding machine generates an operation log, which is automatically uploaded to the cloud for backup. Through the management platform, equipment administrators can view the operation records at any time to ensure the legality and safety of the welding equipment's use. Through the encrypted construction of remote operation requests, the request generation sub-unit achieves end-to-end security and controllability from user authentication to equipment operation requests, providing a solid security foundation and efficient operational support for the welding equipment anomaly alarm system.

[0036] Optionally, the data acquisition module includes a data acquisition unit and a data transmission unit. The data acquisition unit is used to acquire data from the target welding equipment at a preset acquisition frequency based on the data acquisition device configured on the target welding equipment, thereby obtaining the original operating data corresponding to the target welding equipment. The original operating data includes vibration state data, tilt angle data, current change data, and equipment temperature data. The data transmission unit is used to encrypt the original operating data, obtain the target operating data, and transmit the target operating data to the anomaly detection module via wireless communication.

[0037] The data acquisition equipment can include accelerometers, tilt sensors, voltage and current sensors, temperature and humidity sensors, and vibration sensors. The preset acquisition frequency refers to a pre-defined data acquisition interval that is dynamically adjusted for different welding stages or equipment states, ensuring a balance between accuracy and efficiency. Raw operating data refers to the unprocessed raw signals of the equipment status directly acquired by the data acquisition equipment (such as sensors). Vibration status data refers to the vibration signals and vibration states of key welding machine components (such as motor brackets, welding torch arms, and gearboxes) acquired by accelerometers and vibration sensors, reflecting the dynamic response of the equipment's mechanical structure. Tilt angle data refers to the attitude offset angle of the welding torch arm, welding machine base, or welding worktable acquired by tilt sensors, reflecting the equipment's spatial positioning information. Current change data refers to the voltage or current information of the welding equipment acquired by voltage and current sensors. Equipment temperature data refers to the temperature distribution and thermal gradient of key heating components of the welding machine (such as transformers, welding torch tips, and cooling systems) acquired by temperature and humidity sensors.

[0038] Specifically, to achieve real-time monitoring and fault early warning of welding equipment, multiple data acquisition devices (sensors) can be configured in the welding machine. These devices continuously collect the equipment's operating data and upload it to the cloud platform for analysis in real time. The data acquisition unit collects various parameters of the target welding equipment, such as temperature, acceleration, tilt angle, and operating current, according to a preset acquisition frequency (e.g., high-frequency real-time monitoring), based on the data acquisition devices configured on the target welding equipment. This ensures that all critical states during equipment operation are captured in a timely manner, obtaining vibration state data, tilt angle data, current change data, and equipment temperature data—that is, the original operating data of the target welding equipment. The data transmission unit encrypts the original operating data, obtains the target operating data, and transmits it to the anomaly detection module via wireless communication (e.g., Wi-Fi or LTE module). Through comprehensive collection of the target welding equipment's original operating data, the data acquisition module achieves efficient and accurate monitoring of the welding equipment's status, providing a solid data foundation and decision support for subsequent anomaly alarms.

[0039] It should be noted that the data acquisition equipment configuration may include: accelerometers, tilt sensors, voltage and current sensors, temperature and humidity sensors, and vibration sensors. Accelerometers monitor the vibration status of the equipment, detecting any abnormal vibrations or positional changes during operation, especially whether the equipment has been illegally disassembled or altered. Tilt sensors monitor the tilt angle of the equipment to prevent tilting or tipping, which is usually related to whether the equipment has been moved or disassembled. Voltage and current sensors monitor changes in the equipment's current; if the welding machine's operating current exceeds the normal range, it may indicate a malfunction or unauthorized operation. Temperature and humidity sensors monitor the welding machine's operating temperature to prevent overheating and potential safety hazards. Vibration sensors capture vibration information generated during equipment operation; abnormal vibrations may be signs of equipment damage or tampering. Furthermore, during data acquisition, all user actions (such as operation time, welder identity, and operation content) are automatically recorded and uploaded to a cloud platform for storage, ensuring the immutability of the operation records. This data can be audited at any time through the management platform, facilitating subsequent operation supervision and data tracking.

[0040] Optionally, the anomaly detection module includes: a status analysis unit and an anomaly detection unit. The status analysis unit is used to locally store the received target operating data and compare the target operating data with the standard operating data corresponding to the target welding equipment to determine the target working state corresponding to the target welding equipment. The anomaly detection unit is used to respond to the target working state being abnormal, determine the target alarm information corresponding to the target welding equipment based on the target operating data, and issue an anomaly alarm based on the target alarm information.

[0041] The target operating state can refer to the current operating status category of the target welding equipment (such as "normal state" or "abnormal state"). Standard operating data can refer to the normal operating parameters of the welding equipment under normal conditions. Abnormal state can refer to a state in which the equipment's operating status deviates from the normal range, triggering a system warning or alarm.

[0042] Specifically, the status analysis unit can locally store the received target operating data through a cloud-based big data analysis platform. By comparing the target operating data with the standard operating data corresponding to the target welding equipment, it judges the working status of the target welding equipment and determines the target working state. The anomaly detection unit is used to respond to an abnormal target working state by performing anomaly analysis on the target operating data and generating alarm information including anomaly type (such as "current over-limit" or "vibration anomaly"), severity (such as primary / intermediate / high-level), timestamp, equipment location, and possible causes. This is the target alarm information corresponding to the target welding equipment, and an anomaly alarm is triggered based on the target alarm information. Through the data storage and status comparison capabilities of the status analysis unit and the intelligent alarm capabilities of the anomaly detection unit, the anomaly detection module realizes the efficient, accurate, and intelligent operation of the welding equipment anomaly alarm system, significantly improving equipment reliability, production efficiency, and welding quality. It can be applied to various high-precision welding scenarios.

[0043] For example, disassembly and unauthorized modification of welding equipment is a key anomaly type that needs to be monitored in this system. This invention designs a sensor-based disassembly monitoring mechanism and provides real-time alerts to management personnel through an early warning system. Taking disassembly and unauthorized modification of equipment as an example, the anomaly analysis process can be as follows: When the equipment's acceleration sensor detects abnormal vibration exceeding a predetermined threshold, the system will immediately mark it as a potential equipment disassembly or unauthorized movement event and trigger an alarm; if the tilt sensor detects that the equipment angle exceeds a set range (e.g., exceeding 10°), it is considered that the equipment is at risk of being tilted or disassembled. At this time, the system will trigger an alarm and require management personnel to check the equipment; combined with abnormal changes in the operating current sensor, if the current fluctuation exceeds the set range, it may indicate that the equipment has been tampered with or subjected to external interference, and the system will further analyze and issue an alarm. The alarm process can be as follows: 1) Once an anomaly type (such as vibration, tilt, or operating current exceeding limits) is detected, the system will automatically generate an alarm record and upload it to the cloud platform, while simultaneously sending the warning information to management personnel via SMS, email, or APP push. 2) The management platform will record the warning information in detail and provide specific anomaly data (such as anomaly time, equipment ID, sensor data, etc.) for staff to investigate. 3) The system also supports a secondary confirmation function. Administrators can directly check the equipment in real time through the remote control platform or APP to ensure that the equipment status is promptly fed back and processed.

[0044] Optionally, the anomaly detection unit is specifically used to: perform anomaly matching on the target operating data based on a preset anomaly type mapping table, determine the anomaly type corresponding to the target welding equipment, generate target alarm information based on the target operating data and the anomaly type, and issue an anomaly alarm based on the target alarm information, wherein the target alarm information includes: anomaly time information, anomaly description information, operator user information, and anomaly equipment information.

[0045] The preset anomaly type mapping table refers to a "data feature-anomaly type" rule base pre-built based on historical equipment fault data, process standards, and expert experience, used for matching real-time data with anomaly types. Anomaly type refers to the specific anomaly category of the target welding equipment. Anomaly time information refers to the precise timestamp of the anomaly event, accurate to the millisecond level. Anomaly description information refers to the text description generated by the system of the anomaly type, possible causes, and suggested measures. User information refers to the user identity information of the equipment operator. Anomaly equipment information refers to the identity information of the equipment where the anomaly occurred.

[0046] Specifically, real-time feature extraction can be performed on target operating data (vibration, current, temperature), and the extracted features are matched with a preset anomaly type mapping table to determine the anomaly type corresponding to the target welding equipment. Based on the anomaly type, timestamp, operator information, and equipment information, anomaly time information, anomaly description information, operator information, and anomaly equipment information are generated to obtain target alarm information. Based on the target alarm information, simultaneous notifications can be sent through multiple channels, including audible and visual alarms and SMS push notifications. For example, a medium-level alarm triggers an SMS notification, while a high-level alarm directly connects to the factory safety department and remote maintenance center. This achieves efficient, accurate, and intelligent operation of the welding equipment anomaly alarm system, significantly improving equipment reliability, production efficiency, and welding quality.

[0047] Optionally, the system also includes: an equipment maintenance module, wherein the equipment maintenance module is used to perform a health status assessment on the target welding equipment based on the target operating data and historical operating data of the target welding equipment, determine the corresponding health assessment result of the target welding equipment, and determine the corresponding target maintenance strategy for the target welding equipment based on the health assessment result, so as to perform equipment maintenance on the target welding equipment based on the target maintenance strategy.

[0048] Historical operating data refers to the collection of equipment operating data over a past period, used for health status assessment and maintenance strategy optimization. Health assessment results can refer to the health index and condition level of the target welding equipment. Target maintenance strategies can refer to the equipment maintenance plans and measures (such as preventative maintenance, predictive maintenance, and reactive maintenance) generated by the system based on the health assessment results.

[0049] Specifically, the equipment maintenance module can align the real-time operating data (vibration, current, temperature, etc.) of the target welding equipment with the historical operating database to construct full lifecycle data for the equipment. This full lifecycle data is then input into a pre-trained health assessment model to perform a health assessment of the target welding equipment, determining the corresponding health assessment result. Based on a pre-generated multi-dimensional maintenance strategy library built around equipment type, failure mode, and maintenance cost, combined with the health assessment result of the target welding equipment, a target maintenance strategy is determined, and maintenance is performed accordingly. Through the health status assessment and intelligent maintenance strategy generation of the equipment maintenance module, an upgrade from "passive maintenance" to "proactive prevention" can be achieved, significantly improving equipment reliability, production efficiency, and maintenance cost-effectiveness, making it suitable for the long-term stable operation requirements of various high-precision welding scenarios.

[0050] The welding equipment anomaly alarm system of this invention includes: a permission generation module, a data acquisition module, and an anomaly detection module. The permission generation module determines the target user's operation permission information for the target welding equipment and sends this information to the data acquisition module, effectively preventing unauthorized operations that could lead to misoperations or malicious actions, thus reducing the risk of production accidents. The data acquisition module acquires target operating data corresponding to the target welding equipment based on the received operation permission information and sends this data to the anomaly detection module, enabling real-time acquisition and transmission of all welding process parameters, ensuring timely detection of abnormal states, and reducing manual inspection costs. The anomaly detection module determines the target alarm information corresponding to the target welding equipment based on the received target operating data and triggers an anomaly alarm based on this information, improving the efficiency and accuracy of welding equipment anomaly alarms. This invention ensures operational security through a permission generation module, enables full-process monitoring through a data acquisition module, and provides accurate early warnings through an anomaly detection module, forming a closed-loop management system of "data acquisition-analysis-decision". This improves the efficiency and accuracy of welding equipment anomaly alarms, ensures the timeliness of welding equipment anomaly alarms, avoids missed and false alarms, and can adapt to dynamic changes in the equipment operating environment, thereby significantly improving welding quality, production efficiency, and equipment reliability.

[0051] Example 2

[0052] This embodiment, based on the welding equipment malfunction alarm system provided in the above embodiments, provides a welding equipment malfunction alarm method. Figure 2 This is a flowchart illustrating a welding equipment abnormality alarm method provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes the following steps:

[0053] S210. The permission generation module determines the target user's operation permission information for the target welding equipment and sends the operation permission information to the data acquisition module.

[0054] Specifically, the permission generation module can determine the target user's operation permission information for the target welding equipment based on the target user's operation of the target welding equipment, and send the operation permission information to the data acquisition module. This can effectively avoid misoperation or malicious operation caused by unauthorized operation and reduce the risk of production accidents.

[0055] S220. The data acquisition module acquires the target operating data corresponding to the target welding equipment based on the received operation permission information, and sends the target operating data to the anomaly detection module.

[0056] Specifically, the data acquisition module can receive operation permission information. In response to the operation permission information indicating that the target user has operation permission for the target welding equipment and the target welding equipment is in the open state, the module can collect status data of the target welding equipment based on the sensors configured on the target welding equipment, obtain the target operation data corresponding to the target welding equipment, and send the target operation data to the anomaly detection module. This enables real-time acquisition and transmission of all parameters of the welding process, ensuring that abnormal states are captured in a timely manner and reducing the cost of manual inspection.

[0057] S230. Through the anomaly detection module, based on the received target operation data, determine the target alarm information corresponding to the target welding equipment, and issue an anomaly alarm based on the target alarm information.

[0058] Specifically, the anomaly detection module can be used to perform anomaly analysis on the received target operating data. For example, anomaly analysis can include anomaly type (such as overcurrent, abnormal temperature, equipment failure), severity (such as primary / intermediate / high-level alarm), occurrence time, equipment location, possible causes (such as power failure), etc., to generate target alarm information corresponding to the target welding equipment, and to perform anomaly alarm based on the target alarm information, thereby improving the efficiency and accuracy of welding equipment anomaly alarm.

[0059] The technical solution of this embodiment uses a permission generation module to determine the target user's operation permission information for the target welding equipment and sends this information to the data acquisition module. This effectively avoids unauthorized operations that could lead to misoperations or malicious actions, reducing the risk of production accidents. The data acquisition module, based on the received operation permission information, acquires the target operating data corresponding to the target welding equipment and sends it to the anomaly detection module. This enables real-time acquisition and transmission of all parameters of the welding process, ensuring that abnormal states are captured promptly and reducing manual inspection costs. The anomaly detection module, based on the received target operating data, determines the target alarm information corresponding to the target welding equipment and issues anomaly alarms based on this information, improving the efficiency and accuracy of welding equipment anomaly alarms. This invention, through a permission generation module to ensure operational safety, a data acquisition module to achieve full-process monitoring, and an anomaly detection module to provide precise early warnings, forms a closed-loop management system of "data acquisition-analysis-decision-making." This improves the efficiency and accuracy of welding equipment anomaly alarms, ensures the timeliness of alarms, avoids missed and false alarms, and can adapt to dynamic changes in the equipment operating environment, thereby significantly improving welding quality, production efficiency, and equipment reliability.

[0060] Note that the above description is merely a preferred embodiment of the present invention and the technical principles employed. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions can be made without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of the present invention, the scope of which is determined by the scope of the appended claims.

Claims

1. A welding equipment abnormality alarm system, characterized in that, include: The module includes a permission generation module, a data acquisition module, and an anomaly detection module. The permission generation module is used to determine the target user's operation permission information for the target welding equipment, and send the operation permission information to the data acquisition module; The data acquisition module is used to acquire target operating data corresponding to the target welding equipment based on the received operation permission information, and send the target operating data to the anomaly detection module; The anomaly detection module is used to determine the target alarm information corresponding to the target welding equipment based on the received target operating data, and to issue an anomaly alarm based on the target alarm information.

2. The system according to claim 1, characterized in that, The permission generation module includes: a request generation unit and a permission generation unit, wherein, The request generation unit is used to generate a device operation request from the target user for the target welding equipment; The permission generation unit is used to determine the target user's operation permission information for the target welding equipment based on the target user's equipment operation request for the target welding equipment.

3. The system according to claim 2, characterized in that, The request generation unit includes: an identity authentication subunit and a request generation subunit, wherein, The identity authentication subunit is used to determine the identity authentication information corresponding to the target user, and to perform identity authentication on the target user based on the identity authentication information, and to determine the identity authentication result corresponding to the target user. The request generation subunit is used to obtain the device activation information of the target welding equipment, and based on the identity authentication result and the device activation information, determine the target user's device operation request for the target welding equipment.

4. The system according to claim 3, characterized in that, The request generation subunit is specifically used to: in response to the target user's remote start operation of the target welding equipment, obtain the device start information of the target welding equipment, and combine and encrypt the identity authentication result and the device start information to determine the target user's device operation request for the target welding equipment.

5. The system according to claim 1, characterized in that, The data acquisition module includes: a data acquisition unit and a data transmission unit, wherein, The data acquisition unit is used to acquire data from the target welding equipment at a preset acquisition frequency based on the data acquisition device configured on the target welding equipment, and to obtain the original operating data corresponding to the target welding equipment. The original operating data includes: vibration state data, tilt angle data, current change data, and equipment temperature data. The data sending unit is used to encrypt the original running data to obtain the target running data, and send the target running data to the anomaly detection module via wireless communication.

6. The system according to claim 1, characterized in that, The anomaly detection module includes: a state analysis unit and an anomaly detection unit, wherein, The status analysis unit is used to locally store the received target operation data and compare the target operation data with the standard operation data corresponding to the target welding equipment to determine the target working status corresponding to the target welding equipment. The anomaly detection unit is used to respond to the target's working state being abnormal, determine the target alarm information corresponding to the target welding equipment based on the target's operating data, and issue an anomaly alarm based on the target alarm information.

7. The system according to claim 6, characterized in that, The anomaly detection unit is specifically used to: perform anomaly matching on the target operating data based on a preset anomaly type mapping table, determine the anomaly type corresponding to the target welding equipment, generate target alarm information based on the target operating data and the anomaly type, and issue an anomaly alarm based on the target alarm information, wherein the target alarm information includes: anomaly time information, anomaly description information, operator user information, and anomaly equipment information.

8. The system according to claim 1, characterized in that, The system further includes: an equipment maintenance module, wherein, The equipment maintenance module is used to perform a health status assessment on the target welding equipment based on the target operating data and historical operating data of the target welding equipment, determine the corresponding health assessment result of the target welding equipment, and determine the corresponding target maintenance strategy based on the health assessment result, so as to perform equipment maintenance on the target welding equipment based on the target maintenance strategy.

9. The system according to claim 5, characterized in that, The data acquisition device includes: an acceleration sensor, a tilt sensor, a voltage and current sensor, a temperature and humidity sensor, and a vibration sensor.

10. A method for alarming abnormalities in welding equipment, characterized in that, include: The permission generation module determines the target user's operation permission information for the target welding equipment and sends the operation permission information to the data acquisition module. The data acquisition module obtains the target operating data corresponding to the target welding equipment based on the received operation permission information, and sends the target operating data to the anomaly detection module. The anomaly detection module determines the target alarm information corresponding to the target welding equipment based on the received target operation data, and issues an anomaly alarm based on the target alarm information.

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