Equipment fault intelligent processing method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides an equipment fault intelligent processing method and system, electronic equipment and a storage medium, and belongs to the field of fault processing. The method comprises the following steps: acquiring point location information corresponding to equipment; analyzing the point location information, and if the point location information meets a preset alarm condition, automatically triggering alarm information; analyzing the alarm information, determining fault equipment and corresponding configuration information, and determining a corresponding maintenance strategy based on the fault equipment and the configuration information; and based on the maintenance strategy, maintaining the fault equipment. According to the embodiment of the invention, the real-time performance, accuracy and efficiency of equipment fault processing can be improved, and efficient and real-time linkage among alarm, configuration, equipment and maintenance work orders is realized.

Description

Technical Field

[0001] The present application relates to the field of fault handling, and in particular to a method and system for intelligently handling equipment faults, an electronic device, and a storage medium. Background Art

[0002] In air separation enterprises, the importance of production equipment is self-evident. They are not only the core driving force of the production process, but also the key to ensuring product quality and production efficiency.

[0003] However, there is currently a lack of a close and effective association between equipment and configuration, process card management, equipment asset management (EAM) systems, and alarm functions. This disconnection results in the inability to smoothly share and circulate data between equipment information, configuration details, and process cards, which in turn causes unnecessary delays at critical moments when quick decisions need to be made. Specifically, the existing management model makes it impossible to achieve an immediate and automated linkage response between the relevant configuration information, maintenance work order records, and corresponding process card information when a certain production equipment issues an alarm signal. Therefore, operators have to manually search and compare this information, which is not only cumbersome but also prone to errors. This not only hinders the real-time monitoring efficiency of the equipment, but also prolongs the fault response time and reduces the overall work efficiency, which in turn has an adverse impact on the company's production plan and cost control. Therefore, how to achieve efficient and real-time linkage between alarms, configurations, equipment, and maintenance work orders, and improve the real-time, accuracy, and efficiency of equipment fault handling, has become an important issue that needs to be solved in the current field. Summary of the invention

[0004] The main purpose of the embodiments of the present application is to propose an intelligent equipment fault processing method and system, electronic device and storage medium, aiming to improve the real-time, accuracy and efficiency of equipment fault processing and realize efficient and real-time linkage between alarms, configurations, equipment and maintenance work orders.

[0005] To achieve the above-mentioned purpose, a first aspect of an embodiment of the present application proposes a method for intelligently processing equipment failures, the method comprising: Collect the point information corresponding to the equipment; Analyze the point information, and if the point information meets the preset alarm condition, automatically trigger the alarm information; Analyze the alarm information, determine the faulty device and the corresponding configuration information, and determine the corresponding maintenance strategy based on the faulty device and the configuration information; Based on the maintenance strategy, the faulty equipment is repaired.

[0006] In some embodiments, before collecting the point information corresponding to the device, the method further includes: Initial point information is collected, and a unique identifier corresponding to a device is obtained, and a mapping relationship between the initial point information and the device is established based on the initial point information and the unique identifier.

[0007] In some embodiments, before analyzing the point information, the method further includes: Invalid values ​​and abnormal values ​​in the point information are eliminated to obtain a cleaning result, and the cleaning result is normalized.

[0008] In some embodiments, the parsing of the alarm information to determine the faulty device and the corresponding configuration information is specifically: Analyze the alarm information to determine the faulty device; Based on the faulty device, corresponding device parameters are obtained from a preset parameter database and corresponding configuration information is obtained from a preset configuration information database.

[0009] In some embodiments, the determining a corresponding maintenance strategy based on the faulty device and the configuration information is specifically: Analyze the device parameters and the configuration information to determine the corresponding fault type and fault range; Based on the fault type and the fault scope, a corresponding maintenance strategy is determined.

[0010] In some embodiments, the repairing the faulty device based on the maintenance strategy is specifically: Generate a corresponding maintenance work order based on the maintenance strategy, and assign the maintenance work order to an operation and maintenance personnel; Monitor the status of the maintenance work order. If it is determined that the status of the maintenance work order is one of assigned, processing or suspended, update the status of the maintenance work order to under maintenance. Otherwise, further determine whether the status of the maintenance work order is closed or revoked, and update the equipment status to normal if it is determined to be closed or revoked.

[0011] In some embodiments, after repairing the faulty device, the method further includes: Monitor the operating status and performance parameters of the equipment in real time, and input the operating status and performance parameters into a preset fault prediction model to obtain the real-time health status and performance trend of the equipment within a preset time period; Based on the real-time health status and performance trend, a corresponding emergency maintenance plan or periodic maintenance plan is automatically generated.

[0012] To achieve the above-mentioned purpose, a second aspect of the embodiment of the present application proposes an intelligent processing system for equipment failure, the system comprising: a collection module, an analysis module, a processing module and a maintenance module; The acquisition module is used to acquire point information corresponding to the equipment; The analysis module is used to analyze the point information and automatically trigger the alarm information if the point information meets the preset alarm condition; The processing module is used to analyze the alarm information, determine the faulty device and the corresponding configuration information, and determine the corresponding maintenance strategy based on the faulty device and the configuration information; The maintenance module is used to repair the faulty equipment based on the maintenance strategy.

[0013] To achieve the above-mentioned purpose, the third aspect of an embodiment of the present application proposes an electronic device, which includes a memory and a processor, the memory stores a computer program, and the processor implements the intelligent device failure processing method described in the first aspect when executing the computer program.

[0014] To achieve the above objectives, the fourth aspect of an embodiment of the present application proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the intelligent processing method for equipment failures described in the first aspect above.

[0015] The present application proposes an intelligent method and system for handling equipment failures, an electronic device, and a storage medium. By collecting the point information corresponding to the equipment, it is convenient for the subsequent analysis of the point information obtained in real time, and then it is determined in real time whether the point information meets the preset alarm conditions; by parsing the alarm information, the faulty equipment and the corresponding configuration information can be accurately determined, so as to facilitate the subsequent rapid and accurate handling of the faulty equipment; by repairing the faulty equipment, the real-time, accuracy, and efficiency of equipment fault handling can be improved, so as to realize efficient and real-time linkage between alarms, configuration configurations, equipment, and maintenance work orders. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a flow chart of a method for intelligently handling equipment failures provided in an embodiment of the present application; Figure 2 yes Figure 1 A schematic flow chart of step S103 in FIG. Figure 3 yes Figure 2 Schematic diagram of the process of step S201 in ; Figure 4 yes Figure 1 A schematic flow chart of step S104 in FIG. Figure 5 It is a flowchart of step S501 to step S502 provided by this application; Figure 6 It is a structural diagram of the intelligent processing system for equipment failure provided in an embodiment of the present application; Figure 7 It is a schematic diagram of the hardware structure of the electronic device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0017] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0018] It should be noted that, although the functional modules are divided in the device schematic diagram and the logical order is shown in the flow diagram, in some cases, the steps shown or described may be performed in a different order than the module division in the device or the order in the flow diagram. The terms "first", "second", etc. in the specification, claims and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0020] First, some nouns involved in this application are analyzed: Artificial intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. AI is a branch of computer science that attempts to understand the essence of intelligence and produce a new type of intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing and expert systems. AI can simulate the information process of human consciousness and thinking. AI is also a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0021] Based on this, the embodiments of the present application provide a method and system for intelligently processing equipment faults, an electronic device and a storage medium, aiming to improve the real-time, accuracy and efficiency of equipment fault processing, and realize efficient and real-time linkage between alarms, configurations, equipment and maintenance work orders.

[0022] The intelligent device failure processing method and system, electronic device and storage medium provided in the embodiments of the present application are specifically described through the following embodiments. First, the intelligent device failure processing method in the embodiments of the present application is described.

[0023] The embodiments of the present application can acquire and process relevant data based on artificial intelligence technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results.

[0024] The intelligent processing method for equipment failure provided in the embodiment of the present application relates to the field of fault processing. The intelligent processing method for equipment failure provided in the embodiment of the present application can be applied to a terminal, can also be applied to a server side, and can also be software running in a terminal or a server side. In some embodiments, the terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc.; the server side can be configured as an independent physical server, or can be configured as a server cluster or a distributed system composed of multiple physical servers, and can also be configured as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the intelligent processing method for equipment failure, etc., but is not limited to the above forms.

[0025] The present application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc. The present application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application can also be practiced in distributed computing environments, in which tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

[0026] It should be noted that in each specific implementation of the present application, when it comes to the need to perform relevant processing based on data related to user identity or characteristics such as user information, user behavior data, user historical data, and user location information, the user's permission or consent will be obtained first, and the collection, use, and processing of these data will comply with relevant laws, regulations, and standards. In addition, when the embodiment of the present application needs to obtain the user's sensitive personal information, the user's separate permission or consent will be obtained through a pop-up window or by jumping to a confirmation page. After clearly obtaining the user's separate permission or consent, the necessary user-related data for the normal operation of the embodiment of the present application will be obtained.

[0027] Figure 1 is an optional flow chart of a method for intelligently processing equipment failures provided in an embodiment of the present application. Figure 1 The method may include but is not limited to steps S101 to S104.

[0028] Step S101, collecting point information corresponding to the device; Step S102, analyzing the point information, and automatically triggering an alarm if the point information meets a preset alarm condition; Step S103, parsing the alarm information, determining the faulty device and the corresponding configuration information, and determining the corresponding maintenance strategy based on the faulty device and the configuration information; Step S104: repair the faulty device based on the maintenance strategy.

[0029] Steps S101 to S104 shown in the embodiment of the present application, by collecting the point information corresponding to the equipment, facilitate the subsequent analysis of the point information obtained in real time, and then determine in real time whether the point information meets the preset alarm conditions; by parsing the alarm information, the faulty equipment and the corresponding configuration information can be accurately determined, so as to facilitate the subsequent rapid and accurate processing of the faulty equipment; by repairing the faulty equipment, the real-time, accuracy and efficiency of equipment fault processing can be improved, thereby realizing efficient and real-time linkage between alarms, configuration configurations, equipment and maintenance work orders.

[0030] Before step S101 in some embodiments, the method further includes: collecting initial point information, obtaining a unique identifier corresponding to the device, and establishing a mapping relationship between the initial point information and the device based on the initial point information and the unique identifier. Specifically, first, the initial point information is collected through the sensor or control system at the production equipment site, and the collected initial point information is uploaded to the system, wherein the initial point information includes but is not limited to temperature, pressure, flow and liquid level corresponding parameters, wherein the frequency, accuracy and range of the initial point information collection are set according to specific needs; at the same time, the system will enter equipment information including but not limited to equipment name, model, location, manufacturer, etc., which is used as the unique identifier corresponding to the equipment in the system; then, through the device binding function in the system, the initial point information is associated with the unique identifier to establish a mapping relationship between the initial point information and the equipment, so that the collected point information can be associated with the equipment. After the association relationship between the starting point and the equipment is established, real-time monitoring of these devices can be realized. If the point information changes, then these change information will be accurately reflected on the equipment associated with it, so that the operation and maintenance personnel can view the real-time data, historical data and alarm information of the equipment through the system interface. It should be noted that a device can establish an association relationship with multiple points.

[0031] In step S101 of some embodiments, the point information corresponding to the equipment is collected by the sensor or control system at the production equipment site, wherein the point information includes but is not limited to parameters corresponding to temperature, pressure, flow rate and liquid level, etc., wherein the frequency, accuracy and range of point information collection are set according to specific needs. Of course, the point information corresponding to the equipment can also be collected by other methods, and this embodiment is not limited thereto.

[0032] Step S101 shown in the embodiment of the present application collects the point information corresponding to the equipment, thereby facilitating the subsequent analysis of the point information obtained in real time, and then determining in real time whether the point information meets the preset alarm conditions.

[0033] In step S102 of some embodiments, the alarm thresholds or conditions corresponding to each point information may be defined in advance, but are not limited to. For example, a high temperature alarm is triggered when the temperature exceeds a certain threshold, and a low pressure alarm is triggered when the pressure is lower than a certain threshold. By comparing the point information with the preset alarm conditions in real time, it is determined whether the alarm conditions are met. If the point information meets the alarm conditions, the alarm information is automatically triggered. The alarm information includes but is not limited to information such as alarm time, alarm point, point value, etc., and the alarm notification may be sent to relevant personnel via but is not limited to email, text message, instant message, sound, light and electricity, etc.

[0034] See also Figure 2 In some embodiments, step S103 may include, but is not limited to, steps S201 to S202: Step S201, analyzing the alarm information to determine the faulty device and the corresponding configuration information; Step S202: determining a corresponding maintenance strategy based on the faulty device and the configuration information.

[0035] Before step S201 in some embodiments, it also includes: removing invalid values ​​and abnormal values ​​in the point information to obtain a cleaning result, and normalizing the cleaning result. Specifically: first, the invalid values ​​in the point information are determined by a computer programming language, wherein the invalid values ​​include but are not limited to NaN (not a number), None (null value) or an empty string, etc., and the abnormal values ​​in the point information can be identified by, but not limited to, statistical methods such as Z scores and IQR; secondly, after determining the invalid values ​​and abnormal values ​​in the point information, the invalid values ​​and abnormal values ​​in the point information can be removed by, but not limited to, a computer programming language to obtain a cleaning result; finally, the normalization method can be selected to normalize the cleaning result to obtain data in a unified format, which is convenient for subsequent data analysis.

[0036] Please refer to Figure 3 In step S201 of some embodiments, step S201 may include but is not limited to steps S301 to S302. Step S301, analyzing the alarm information to determine the faulty device; Step S302: based on the faulty device, obtain corresponding device parameters from a preset parameter database and obtain corresponding configuration information from a preset configuration information database.

[0037] In step S301 of some embodiments, key information in the alarm information can be extracted by, but not limited to, regular expressions, string matching or other text processing techniques, wherein the key information includes, but is not limited to, device identifier, name, fault parameters, fault description, etc., and the extracted key information is matched with a preset parameter database to determine the corresponding faulty device based on the key information, wherein the parameter database stores key-value pairs of device identifier and device information, with the device identifier as the key and the device information as the value.

[0038] In step S302 of some embodiments, the faulty device is matched with a preset parameter database to determine the device parameters corresponding to the faulty device, wherein the device parameters include but are not limited to temperature, pressure, and current, etc. At the same time, the configuration information corresponding to the faulty device is searched in the configuration information library according to the identifier of the faulty device, and the found configuration information is presented to the user in an intuitive manner such as a graphical interface, so that the user can fully grasp the situation of all points in the device based on the configuration information, wherein the configuration information library stores a key-value pair of the device identifier and the configuration information, wherein the device identifier is the key and the configuration information is the pair, and the configuration information includes but is not limited to the configuration settings of the device, the process flow, the data monitoring interface, etc. It should be noted that the configuration information is bound to the device, and the user can directly select the point in the device through the configuration information. Due to the association between the point and the device, the process parameters of the associated device will automatically pop up when the user views the point.

[0039] In step S201 shown in the embodiment of the present application, by parsing the alarm information, the faulty device and the corresponding configuration information can be accurately determined, so as to facilitate the subsequent rapid and accurate processing of the faulty device.

[0040] In step S202 of some embodiments, the device parameters and the configuration information are analyzed to determine the corresponding fault type and fault range, and the corresponding maintenance strategy is determined based on the fault type and the fault range. Specifically, first, the device parameters and configuration information are comprehensively analyzed by computer programming language to determine the type of device fault, where the fault type can be but not limited to overload, short circuit and blockage, and analyze whether the fault only affects a single device or has extended to the entire system or production line, and then determine the fault range; then, according to the fault type and fault range, the urgency of the device fault is evaluated, and the corresponding maintenance strategy is automatically generated based on the urgency, where the maintenance strategy includes but is not limited to maintenance tools, maintenance content, maintenance steps, maintenance cycle, maintenance personnel and safety measures. It should be noted that after generating the corresponding maintenance strategy, it is also necessary to monitor the operating status and performance parameters of the faulty equipment during the maintenance process in real time to dynamically adjust the maintenance strategy and continuously optimize the maintenance plan, content and cycle.

[0041] In step S202 shown in the embodiment of the present application, by analyzing the device parameters and configuration information corresponding to the faulty device, the corresponding fault type and fault range can be accurately determined, which facilitates the generation of a corresponding maintenance strategy, thereby facilitating subsequent rapid and accurate processing of the faulty device.

[0042] Step S103 shown in the embodiment of the present application can accurately determine the faulty device and the corresponding configuration information by parsing the alarm information, so as to facilitate the subsequent rapid and accurate determination of the fault type and fault range, the generation of the corresponding maintenance strategy, and the subsequent rapid and accurate processing of the faulty equipment.

[0043] See also Figure 4 In some embodiments, step S104 may include, but is not limited to, steps S401 to S402: Step S401, generating a corresponding maintenance work order based on the maintenance strategy, and assigning the maintenance work order to an operation and maintenance personnel; Step S402, monitor the status of the maintenance work order. If it is determined that the status of the maintenance work order is one of the assigned, processing or suspended states, update the status of the maintenance work order to under maintenance. Otherwise, further determine whether the status of the maintenance work order is closed or revoked, and update the equipment status to normal if it is determined to be closed or revoked.

[0044] In step S401 of some embodiments, the maintenance strategy is parsed to understand the specific content of the maintenance strategy, including but not limited to maintenance priority, required spare parts, estimated maintenance time, maintenance steps, etc., and then the maintenance strategy is parsed into executable instructions or tasks, and the relevant information in the work order template is automatically filled in according to the parsed maintenance strategy to generate a maintenance work order, and the maintenance work order is automatically assigned to the operation and maintenance personnel so that the operation and maintenance personnel can repair the faulty equipment according to the maintenance strategy. It should be noted that when the operation and maintenance personnel repair the faulty equipment, they can view the maintenance strategy and the changes in the parameters and status of each point in the machine during the maintenance process through buttons on the system, and continuously optimize the maintenance strategy according to the status and parameters of the faulty equipment during the maintenance process to ensure the effectiveness of fault handling.

[0045] In step S402 of some embodiments, after the maintenance work order is assigned, it is necessary to continuously check the current status of the maintenance work order. First, check whether the status of the maintenance work order is "assigned", "processing" or "pending". If so, update the status of the work order to "under maintenance". If not, it is necessary to further judge the status of the work order. Specifically, it is necessary to check whether the status of the maintenance work order is "closed" or "revoked". If so, update the equipment status to normal. If not, it is necessary to continue to monitor the status of the maintenance work order.

[0046] Step S104 shown in the embodiment of the present application can improve the real-time, accuracy and efficiency of equipment fault handling by repairing the faulty equipment, thereby achieving efficient and real-time linkage between alarms, configurations, equipment and maintenance work orders.

[0047] See also Figure 5 , after step S104 in some embodiments, it also includes but is not limited to steps S501 to S502.

[0048] Step S501, real-time monitoring of the operating status and performance parameters of the equipment, and inputting the operating status and performance parameters into a preset fault prediction model to obtain the real-time health status and performance trend of the equipment within a preset time period; Step S502: Automatically generate a corresponding emergency maintenance plan or periodic maintenance plan based on the real-time health status and performance trend.

[0049] In step S501 of some embodiments, it is necessary to monitor the operating status and performance parameters of the equipment in real time through sensors or control systems, and input the operating status and performance parameters into a preset fault prediction model. By considering historical fault data, sensor data, and maintenance records, and through AI calculations, real-time health status indicators and long-term performance trend forecasts of the equipment are generated.

[0050] In step S502 of some embodiments, it is determined whether there is a sudden failure based on the real-time health status indicator. If there is a sudden failure, an emergency maintenance plan needs to be formulated. By analyzing the long-term performance trend forecast, a periodic maintenance plan is arranged. The maintenance plan includes but is not limited to maintenance time, maintenance suggestions and maintenance content, so as to timely discover potential problems of the equipment and then prevent or repair them, ensure that the equipment works in a good operating state, and extend the service life of the equipment.

[0051] The embodiments of the present application collect point information corresponding to the equipment, thereby facilitating subsequent analysis of the point information obtained in real time, and then determining in real time whether the point information meets the preset alarm conditions; by parsing the alarm information, the faulty equipment and the corresponding configuration information can be accurately determined, thereby facilitating subsequent rapid and accurate processing of the faulty equipment; by repairing the faulty equipment, the real-time, accuracy and efficiency of equipment fault processing can be improved, thereby achieving efficient and real-time linkage between alarms, configuration configurations, equipment and maintenance work orders.

[0052] See also Figure 6 , the embodiment of the present application also provides an equipment fault intelligent processing system, which can implement the above-mentioned equipment fault intelligent processing method, the system includes: a collection module 100, an analysis module 200, a processing module 300 and a maintenance module 400; The acquisition module 100 is used to acquire point information corresponding to the device; The analysis module 200 is used to analyze the point information and automatically trigger an alarm if the point information meets a preset alarm condition; The processing module 300 is used to analyze the alarm information, determine the faulty device and the corresponding configuration information, and determine the corresponding maintenance strategy based on the faulty device and the configuration information; The maintenance module 400 is used to repair the faulty device based on the maintenance strategy.

[0053] The specific implementation of the equipment failure intelligent processing system is basically the same as the specific implementation of the above-mentioned equipment failure intelligent processing method, and will not be repeated here.

[0054] The embodiment of the present application also provides an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the above-mentioned device failure intelligent processing method when executing the computer program. The electronic device can be any intelligent terminal including a tablet computer, a car computer, etc.

[0055] See also Figure 7 , Figure 7 The hardware structure of an electronic device of another embodiment is illustrated, and the electronic device includes: The processor 701 may be implemented by a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of the present application; The memory 702 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 702 can store an operating system and other application programs. When the technical solution provided in the embodiment of this specification is implemented by software or firmware, the relevant program code is stored in the memory 702, and the processor 701 calls and executes a device fault intelligent processing method in the embodiment of this application; Input / output interface 703, used to implement information input and output; Communication interface 704, used to realize communication interaction between the device and other devices, which can be realized through wired mode (such as USB, network cable, etc.) or wireless mode (such as mobile network, WIFI, Bluetooth, etc.); A bus 705 that transmits information between various components of the device (e.g., the processor 701, the memory 702, the input / output interface 703, and the communication interface 704); The processor 701 , the memory 702 , the input / output interface 703 and the communication interface 704 are connected to each other in communication within the device via a bus 705 .

[0056] An embodiment of the present application also provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the above-mentioned method for intelligently processing device failures is implemented.

[0057] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely disposed relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0058] The embodiments of the present application provide an intelligent method and system for handling equipment failures, an electronic device, and a storage medium. By collecting the point information corresponding to the equipment, it is convenient for the subsequent analysis of the point information obtained in real time, and then it is determined in real time whether the point information meets the preset alarm conditions; by parsing the alarm information, the faulty equipment and the corresponding configuration information can be accurately determined, so as to facilitate the subsequent rapid and accurate handling of the faulty equipment; by repairing the faulty equipment, the real-time, accuracy, and efficiency of equipment fault handling can be improved, so as to realize efficient and real-time linkage between alarms, configuration configurations, equipment, and maintenance work orders.

[0059] The embodiments described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Those skilled in the art will appreciate that with the evolution of technology and the emergence of new application scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0060] Those skilled in the art will appreciate that the technical solutions shown in the figures do not constitute a limitation on the embodiments of the present application, and may include more or fewer steps than shown in the figures, or a combination of certain steps, or different steps.

[0061] The device embodiments described above are merely illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0062] Those skilled in the art will appreciate that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices may be implemented as software, firmware, hardware, or a suitable combination thereof.

[0063] The terms "first", "second", "third", "fourth", etc. (if any) in the specification of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0064] It should be understood that in the present application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "At least one of the following" or similar expressions refers to any combination of these items, including any combination of single or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0065] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the above units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0066] The units described above as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0067] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0068] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including multiple instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), disk or optical disk and other media that can store programs.

[0069] The preferred embodiments of the present invention are described above with reference to the accompanying drawings, but the scope of the rights of the present invention is not limited thereto. Any modification, equivalent substitution and improvement made by a person skilled in the art without departing from the scope and essence of the present invention should be within the scope of the rights of the present invention.

Claims

1. A method for intelligently handling equipment failures, characterized in that: The method comprises: Collect the point information corresponding to the equipment; Analyze the point information, and automatically trigger an alarm if the point information meets the preset alarm conditions; Analyze the alarm information to determine the faulty device and corresponding configuration information, and determine a corresponding maintenance strategy based on the faulty device and the configuration information; The faulty device is repaired based on the maintenance strategy.

2. The method according to claim 1, characterized in that Before the point information corresponding to the acquisition device is collected, it also includes: Initial point information is collected, and a unique identifier corresponding to a device is obtained, and a mapping relationship between the initial point information and the device is established based on the initial point information and the unique identifier.

3. The method according to claim 1, characterized in that Before analyzing the point information, the method further includes: Invalid values ​​and abnormal values ​​in the point information are eliminated to obtain a cleaning result, and the cleaning result is normalized.

4. The method according to claim 1, wherein The alarm information is parsed to determine the faulty device and the corresponding configuration information, specifically: Analyze the alarm information to determine the faulty device; Based on the faulty device, corresponding device parameters are obtained from a preset parameter database and corresponding configuration information is obtained from a preset configuration information database.

5. The method according to claim 4, characterized in that The determining of a corresponding maintenance strategy based on the faulty device and the configuration information is specifically: The equipment parameters and the configuration information are analyzed to determine a corresponding fault type and a fault range, and a corresponding maintenance strategy is determined based on the fault type and the fault range.

6. The method according to claim 1, wherein The repairing of the faulty equipment based on the maintenance strategy is specifically as follows: Generate a corresponding maintenance work order based on the maintenance strategy, and assign the maintenance work order to the operation and maintenance personnel; Monitor the status of the maintenance work order. If it is determined that the status of the maintenance work order is assigned, in progress, or pending, update the status of the maintenance work order to under maintenance. Otherwise, further determine whether the status of the maintenance work order is closed or revoked, and update the equipment status to normal if it is determined to be closed or revoked.

7. The method according to claim 1, characterized in that After repairing the faulty equipment, the method further includes: Monitor the operating status and performance parameters of the equipment in real time, and input the operating status and performance parameters into a preset fault prediction model to obtain the real-time health status and performance trend of the equipment within a preset time period; Based on the real-time health status and performance trends, a corresponding emergency maintenance plan or periodic maintenance plan is automatically generated.

8. An intelligent equipment failure processing system, characterized in that: The system includes: an acquisition module, an analysis module, a processing module and a maintenance module; The acquisition module is used to collect point information corresponding to the equipment; The analysis module is used to analyze the point information and automatically trigger an alarm if the point information meets the preset alarm condition; The processing module is configured to analyze the alarm information, determine the faulty device and the corresponding configuration information, and determine a corresponding maintenance strategy based on the faulty device and the configuration information; The maintenance module is used to repair the faulty equipment based on the maintenance strategy.

9. An electronic device, characterized in that: The electronic device includes a memory and a processor, the memory stores a computer program, and the processor implements the device failure intelligent processing method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, an intelligent device failure processing method according to any one of claims 1 to 7 is implemented.

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