Intelligent test method and device for emergency generator, electronic equipment and medium

Abstract

The invention discloses an intelligent test method and device for an emergency generator, electronic equipment and a medium. The method comprises the following steps: in response to an intelligent test instruction of the emergency generator, cutting off main power supply of the emergency generator through a power-off control module; in the self-starting process of the emergency generator, starting parameters of the emergency generator are monitored through an assembly sensor installed on the emergency generator; starting parameters are sent to the intelligent analysis and strategy generation module through the component sensor; the starting parameters are analyzed through an intelligent analysis and strategy generation module, and a starting and maintenance strategy of the emergency generator is generated; after the test of the emergency generator is completed, the main power supply of the emergency generator is recovered through the power-off control module; and obtaining target test data of the emergency generator through a report generation module, and generating an intelligent test report of the emergency generator according to the target test data and the starting and maintenance strategy. Therefore, the generator testing efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of automatic testing technology, and in particular to an intelligent testing method, device, electronic equipment, and medium for emergency generators. Background Technology

[0002] In modern industrial and civil facilities, emergency generators can quickly start and provide power support in the event of a main power failure or outage, ensuring the continuous operation of critical equipment. Testing emergency generators ensures the continuity and reliability of power supply in emergencies.

[0003] In the process of developing this application, the applicant discovered at least the following problems in the prior art:

[0004] In existing technologies, routine ship maintenance typically uses a "Sequence Test" or "Routine Test Switch" (RTS) to simulate mains power failure, thereby testing the automatic start-up and switching functions of emergency generators. This simulates a mains power outage by sending a signal to the emergency generator, without actually disconnecting the power supply. However, traditional methods can only verify part of the startup process and cannot truly reflect the reliability of the emergency system under actual power outage conditions, resulting in low generator testing efficiency. Summary of the Invention

[0005] This application provides an intelligent testing method, device, electronic equipment, and medium for emergency generators. It can realistically simulate power outage scenarios by cutting off the main power supply of the emergency generator, thereby improving test reliability and efficiency.

[0006] In a first aspect, embodiments of this application provide an intelligent testing method for an emergency generator, the method comprising:

[0007] In response to the intelligent test indication of the emergency generator, the main power supply of the emergency generator is cut off through the power failure control module;

[0008] During the automatic start-up process of the emergency generator, the start-up parameters of the emergency generator are monitored by component sensors installed on the emergency generator.

[0009] The component sensors send the startup parameters to the intelligent analysis and strategy generation module;

[0010] The intelligent analysis and strategy generation module analyzes the startup parameters to generate startup and maintenance strategies for the emergency generator.

[0011] After the emergency generator test is completed, the main power supply of the emergency generator is restored through the power failure control module;

[0012] The target test data of the emergency generator is obtained through the report generation module, and an intelligent test report of the emergency generator is generated based on the target test data and the start-up and maintenance strategy.

[0013] Secondly, embodiments of this application also provide an intelligent testing device for emergency generators, the device comprising:

[0014] The power supply cut-off module is used to cut off the main power supply of the emergency generator in response to the intelligent test indication of the emergency generator through the power cut-off control module;

[0015] The parameter monitoring module is used to monitor the start-up parameters of the emergency generator through component sensors installed on the emergency generator during the automatic start-up process of the emergency generator;

[0016] The parameter sending module is used to send the start-up parameters to the intelligent analysis and strategy generation module through the component sensor;

[0017] The strategy generation module is used to analyze the startup parameters through the intelligent analysis and strategy generation module to generate the startup and maintenance strategy for the emergency generator;

[0018] The power supply restoration module is used to restore the main power supply of the emergency generator through the power failure control module after the emergency generator has been tested.

[0019] The report generation module is used to obtain the target test data of the emergency generator through the report generation module, and generate an intelligent test report of the emergency generator based on the target test data and the start-up and maintenance strategy.

[0020] Thirdly, embodiments of this application provide an electronic device, including:

[0021] One or more processors;

[0022] Memory, used to store one or more programs.

[0023] When the one or more programs are executed by the one or more processors, the one or more processors implement the intelligent testing method for emergency generators as described in any embodiment of this application.

[0024] Fourthly, embodiments of this application provide a storage medium storing a computer program thereon, which, when executed by a processor, implements the intelligent testing method for emergency generators described in any embodiment of this application.

[0025] This application proposes an intelligent testing method, device, electronic equipment, and medium for emergency generators. Responding to an intelligent test instruction from the emergency generator, a power-off control module cuts off the main power supply to the emergency generator. During the emergency generator's self-starting process, component sensors installed on the emergency generator monitor its startup parameters. These startup parameters are sent to an intelligent analysis and strategy generation module via the component sensors. The intelligent analysis and strategy generation module analyzes the startup parameters and generates startup and maintenance strategies for the emergency generator. After the emergency generator test is completed, the power-off control module restores the main power supply to the emergency generator. A report generation module acquires the target test data of the emergency generator and generates an intelligent test report based on the target test data and the startup and maintenance strategies. In other words, the technical solution of this application achieves testing by directly cutting off the main power supply to the emergency generator, enabling it to start. In contrast, existing technologies simulate a main power outage by sending a signal to the emergency generator, but the power supply is not actually disconnected. Therefore, compared with the prior art, the emergency generator intelligent testing method, device, electronic equipment and medium proposed in this application can realistically simulate a power outage scenario by cutting off the main power supply of the emergency generator, thereby improving test reliability and testing efficiency. In addition, it can generate emergency generator start-up and maintenance strategies by real-time monitoring of start-up parameters through component sensors, which facilitates generator status assessment. Furthermore, the technical solution of this application is simple and convenient to implement, easy to popularize, and has a wider range of applications. Attached Figure Description

[0026] Figure 1 A flowchart illustrating an embodiment of the intelligent testing method for emergency generators provided in this application;

[0027] Figure 2 A flowchart illustrating an intelligent testing method for emergency generators provided in another embodiment of this application;

[0028] Figure 3 A flowchart illustrating an intelligent testing method for emergency generators provided in another embodiment of this application;

[0029] Figure 4 This is a schematic diagram of the structure of an intelligent testing device for emergency generators provided in an embodiment of this application;

[0030] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0031] The present application will now be described in further detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the application and not intended to limit it. Furthermore, it should be noted that, for ease of description, the accompanying drawings show only the parts relevant to the present application, not the entire structure.

[0032] Figure 1 This is a flowchart illustrating an embodiment of an intelligent testing method for emergency generators provided in this application. This method can be executed by an intelligent testing device or electronic device for emergency generators. The device or electronic device can be implemented in software and / or hardware, and can be integrated into any intelligent device with network communication capabilities. Figure 1 As shown, the intelligent testing method for emergency generators may include the following steps:

[0033] S101, in response to the intelligent test instruction of the emergency generator, cuts off the main power supply of the emergency generator through the power failure control module; during the self-starting process of the emergency generator, the starting parameters of the emergency generator are monitored by the component sensors installed on the emergency generator.

[0034] In this step, the operator can initiate the test process by selecting a test mode on the display module (such as a screen) to generate intelligent test instructions for the emergency generator. These instructions serve as the self-start command for the power outage control module, causing it to cut off the main power supply to the emergency generator, thus realistically simulating a power outage scenario. Multi-dimensional sensors are installed on key components of the emergency generator to achieve real-time monitoring and data recording during the startup process, used to analyze the generator's status and health.

[0035] The sensors installed on an emergency generator may include, but are not limited to, speed sensors, voltage sensors, current sensors, bearing vibration sensors, oil / fuel pressure sensors, exhaust temperature sensors, and engine oil pressure sensors. Correspondingly, the starting parameters of an emergency generator may include, but are not limited to, speed, voltage, current, bearing vibration status, oil / fuel pressure, exhaust temperature, and engine oil pressure.

[0036] Preferably, during the self-starting process of the emergency generator, before monitoring the startup parameters of the emergency generator through the component sensors installed on the emergency generator, the intelligent testing method for the emergency generator also includes: switching the main emergency equipment to main power supply through the power-off control module, cutting off the power switch from the main distribution board to the emergency distribution board, and cutting off the main power supply to the emergency distribution board.

[0037] In this step, the power outage control module can remotely control the switches between the main power distribution board and the emergency power distribution board, cutting off the main power supply to the emergency power distribution board to conduct a power outage test. It controls the main emergency power supply equipment to switch to main power supply to prevent the equipment's operation from being affected when the emergency power supply is cut off. In the hardware implementation, a Programmable Logic Controller (PLC) can be used to remotely control relays to disconnect each switch. In the software implementation, the power outage test logic is set as follows: first, switch the main emergency equipment to main power → delay confirmation → execute the disconnection of the emergency power distribution board power supply; a safety interlock logic is included to prevent accidental power cut-off while the emergency generator is running.

[0038] S102. Send startup parameters to the intelligent analysis and strategy generation module through component sensors; analyze the startup parameters through the intelligent analysis and strategy generation module to generate startup and maintenance strategies for the emergency generator.

[0039] In this step, during the process of sending startup parameters to the intelligent analysis and strategy generation module via the component sensors, the component sensors first send real-time startup parameters to the data acquisition and processing module for storage. Then, the data acquisition and processing module sends the current and historical startup parameters to the intelligent analysis and strategy generation module. The component sensors output 4-20mA current signals, which are uniformly connected to the data acquisition module for processing. The data acquisition and processing module receives data from each sensor and processes it in real time; the data acquisition and processing module has an embedded storage unit that can save historical data for trend analysis.

[0040] The intelligent analysis and strategy generation module performs multi-dimensional analysis on the received data, combining historical data and current operating status to generate optimized startup and maintenance strategies. Specifically, the intelligent analysis and strategy generation module uses built-in algorithms to filter, classify, and model the data, ensuring the accuracy and reliability of the output strategies.

[0041] S103. After the emergency generator test is completed, restore the main power supply of the emergency generator through the power failure control module.

[0042] In this step, the power outage control module determines whether the main power supply meets the recovery conditions based on preset logic. If the recovery conditions are met, the recovery operation is automatically executed, and relevant status information is recorded. During the recovery process, the power outage control module continuously monitors key parameters of the main power supply, such as voltage and frequency, to ensure its stability reaches a set threshold. Additionally, the power outage control module can send recovery status signals to the intelligent analysis and strategy generation module for subsequent strategy adjustments and optimizations. For example, the power outage control module sends a recovery status signal containing key parameter information of the main power supply, such as voltage stability and frequency fluctuation range. The intelligent analysis and strategy generation module can then assess the current system's operating efficiency and potential risks based on the received data. The intelligent analysis and strategy generation module performs in-depth analysis of the received signals to identify abnormal patterns that may affect system performance and formulates corresponding corrective measures for these abnormal patterns.

[0043] Preferably, the intelligent testing method for emergency generators also includes: switching the main emergency equipment to emergency power supply through the power failure control module, restoring the power switch from the main distribution board to the emergency distribution board, and restoring the main power supply to the emergency distribution board.

[0044] In this step, the power outage control module determines whether the switching conditions for the emergency power supply are met based on pre-set logic. If met, it automatically executes the switching operation and simultaneously records relevant status information. During the switching process, the power outage control module can monitor key parameters of the emergency power supply in real time, such as current and load rate, to ensure its stable operation and compliance with safety standards. Additionally, the power outage control module can send the switching status signal to the intelligent analysis and strategy generation module, allowing the module to further evaluate and optimize the overall system performance.

[0045] S104. Obtain the target test data of the emergency generator through the report generation module, and generate an intelligent test report of the emergency generator based on the target test data and the start-up and maintenance strategy.

[0046] In this step, the component sensors monitor the test data of the emergency generator in real time during the test process and send it to the data acquisition and processing module for storage. The report generation module can obtain the corresponding required data from the data acquisition and processing module.

[0047] Preferably, the target test data of the emergency generator is obtained through the report generation module, including: obtaining the automatic test data of the emergency generator through the report generation module; summarizing the automatic test data through the report generation module to obtain the key parameter curves of the emergency generator corresponding to the test process; and determining the target test data of the emergency generator based on the key parameter curves.

[0048] In this step, the key parameter curves visually reflect the generator's dynamic performance during testing, encompassing voltage fluctuations, current trends, frequency stability, and temperature rise. The report generation module can also annotate and segment these curves, highlighting anomalies or deviations from preset ranges to help technicians quickly pinpoint problems. Furthermore, the report generation module can further analyze the target test data, such as by combining pre-set performance indicators and safety thresholds, to comprehensively assess the emergency generator's operating status. By comparing historical data with real-time collected information, the report generation module can identify potential abnormal trends or performance deviations and integrate this information into the intelligent test report, enhancing its comprehensiveness.

[0049] The intelligent testing method for emergency generators proposed in this application, in response to an intelligent test instruction from the emergency generator, cuts off the main power supply to the emergency generator via a power-off control module. During the emergency generator's self-starting process, the starting parameters of the emergency generator are monitored by component sensors installed on the generator. The starting parameters are sent to an intelligent analysis and strategy generation module via the component sensors. The intelligent analysis and strategy generation module analyzes the starting parameters and generates a start-up and maintenance strategy for the emergency generator. After the emergency generator test is completed, the main power supply to the emergency generator is restored via the power-off control module. The target test data of the emergency generator is obtained by a report generation module, and an intelligent test report of the emergency generator is generated based on the target test data and the start-up and maintenance strategy. In other words, in the technical solution of this application, the emergency generator is started and tested by directly cutting off the main power supply. In contrast, in the prior art, a signal is given to the emergency generator to simulate a main power outage, but the power supply is not actually disconnected. Therefore, compared with the prior art, the emergency generator intelligent testing method, device, electronic equipment and medium proposed in this application can realistically simulate a power outage scenario by cutting off the main power supply of the emergency generator, thereby improving test reliability and testing efficiency. In addition, it can generate emergency generator start-up and maintenance strategies by real-time monitoring of start-up parameters through component sensors, which facilitates generator status assessment. Furthermore, the technical solution of this application is simple and convenient to implement, easy to popularize, and has a wider range of applications.

[0050] Figure 2 This is a flowchart illustrating an intelligent testing method for an emergency generator according to another embodiment of this application. The method can be further optimized and expanded based on the above technical solution, and can be combined with the various optional embodiments described above. The component sensors installed on the emergency generator include: a speed sensor, a voltage sensor, a current sensor, a bearing vibration sensor, an oil pressure / fuel pressure sensor, an exhaust temperature sensor, and an engine oil pressure sensor. For example... Figure 2As shown, the intelligent testing method for emergency generators may include the following steps:

[0051] S201. Monitor the speed of the emergency generator during startup using a speed sensor; monitor the voltage value of the emergency generator during startup using a voltage sensor; monitor the current value of the emergency generator during startup using a current sensor.

[0052] S202. Monitor the bearing vibration status of the emergency generator during startup using a bearing vibration sensor; monitor the oil / fuel pressure of the emergency generator during startup using an oil / fuel pressure sensor.

[0053] S203. Monitor the exhaust temperature of the emergency generator during startup using an exhaust temperature sensor; monitor the oil pressure of the emergency generator during startup using an oil pressure sensor.

[0054] In this step, the speed sensor accurately captures speed changes during emergency generator startup. The voltage sensor accurately detects voltage fluctuations during startup, ensuring voltage values ​​remain within the normal range. The current sensor monitors current changes in real time during startup, providing crucial information for assessing generator operating status. The bearing vibration sensor monitors changes in vibration frequency and amplitude, keenly detecting bearing vibrations during startup and promptly identifying potential mechanical faults or anomalies. The oil / fuel pressure sensor collects fuel system pressure data in real time, ensuring pressure values ​​remain within a reasonable range; if an abnormal pressure is detected, it quickly transmits a signal to the control system, triggering an alarm or automatic adjustment mechanism. The exhaust temperature sensor monitors exhaust temperature in real time, ensuring its stability after resuming normal operation. The oil pressure sensor continuously collects data, ensuring oil pressure remains within a safe range and accurately measuring oil pressure changes.

[0055] The intelligent testing method for emergency generators proposed in this application, through multi-dimensional sensor monitoring, can not only accurately assess the operating status of the generator, but also effectively predict potential fault risks; and comprehensively grasp the equipment startup status, thereby improving the overall testing efficiency and safety.

[0056] Figure 3 This is a flowchart illustrating an intelligent testing method for emergency generators provided in another embodiment of this application. Further optimizations and extensions based on the above technical solution are possible, and it can be combined with the various optional implementation methods described above. For example... Figure 3 As shown, the intelligent testing method for emergency generators may include the following steps:

[0057] S301. The intelligent analysis and strategy generation module analyzes the startup parameters to obtain the startup success rate and component performance data of the emergency generator.

[0058] S302. By calling the expert knowledge base and preset algorithm model through the intelligent analysis and strategy generation module, the startup and maintenance strategy of the emergency generator is generated based on the startup success rate and component performance data of the emergency generator.

[0059] In this step, the intelligent analysis and strategy generation module analyzes the collected historical data to determine the start-up success rate and the performance of key components (i.e., component performance data), such as start-up delay, abnormal vibration, and voltage fluctuations. Subsequently, based on real-time and historical data monitored by various sensors, combined with an expert knowledge base and algorithm models, the intelligent analysis and strategy generation module generates emergency generator start-up strategies and maintenance recommendations. It can predict potential fault risks, output a health index, and assist in operation and maintenance decisions. During the analysis process, threshold judgment, feature extraction, and model prediction can be performed. Threshold judgment involves setting thresholds for start-up time, speed ramp-up curves, and voltage stabilization time, triggering warnings when these limits are exceeded. Feature extraction involves spectral analysis of vibration signals to identify bearing fault trends. Model prediction uses machine learning or expert systems to predict voltage fluctuations, insufficient oil pressure, etc. During strategy generation, start-up strategies, maintenance strategies, and health indices can be generated. Start-up strategies can be derived by optimizing fuel injection and preheating sequences based on historical data. Maintenance strategies output maintenance recommendations when trend anomalies occur (such as gradually increasing vibration). The health index quantifies the health of the emergency generator by integrating electrical and mechanical parameters.

[0060] The intelligent testing method for emergency generators proposed in this application can clarify the reliability performance of the generator under different operating conditions by analyzing the start-up success rate, providing a basis for subsequent improvements; component performance data helps to accurately locate potential problem areas and take measures in advance to avoid failures; at the same time, the generated start-up and maintenance strategies can not only guide operators to complete tasks efficiently, but also significantly reduce the risks caused by human error, effectively realizing a comprehensive assessment and optimized management of the emergency generator's operating status.

[0061] Preferably, the intelligent testing method for emergency generators also includes: sending startup parameters to the data acquisition and processing module through component sensors; performing anomaly analysis on the startup parameters through the data acquisition and processing module; and generating an anomaly warning and recording the abnormal parameters if an anomaly is determined to be occurring in the emergency generator startup.

[0062] In this step, the operating status of the emergency generator is monitored in real time using component sensors, and the monitoring data is transmitted to the data acquisition and processing module for further analysis. If an anomaly is detected, the acquisition and processing module can classify the anomaly type according to preset rules, generate corresponding early warning information, and store the abnormal parameters in the database for subsequent query and analysis. This allows for the timely detection of potential risks and the implementation of measures to ensure that the operating status of the emergency generator remains within a controllable range.

[0063] In summary, the method in this embodiment can realistically simulate power outage scenarios, improving test reliability; it comprehensively monitors the status of emergency generators, improving the accuracy of health assessments, not only determining whether they can start normally, but also accurately judging the health status of generators and diesel engines through multi-parameter joint analysis; it can perform intelligent analysis based on historical data and real-time monitoring results, calculate generator health indices, predict potential faults, and generate optimized startup strategies and maintenance suggestions; and by designing a one-click automated test, it eliminates the need for manual operation of each switch, avoiding the risk of human error.

[0064] Figure 4 This is a schematic diagram of the structure of an intelligent testing device for emergency generators provided in one embodiment of this application. Figure 4 As shown, the intelligent testing device for emergency generators includes: a power supply cutoff module 401, a parameter monitoring module 402, a parameter sending module 403, a strategy generation module 404, a power supply restoration module 405, and a report generation module 406; wherein:

[0065] The power supply cut-off module 401 is used to cut off the main power supply of the emergency generator in response to the intelligent test indication of the emergency generator through the power cut-off control module.

[0066] The parameter monitoring module 402 is used to monitor the start-up parameters of the emergency generator through component sensors installed on the emergency generator during the self-starting process of the emergency generator.

[0067] The parameter sending module 403 is used to send start-up parameters to the intelligent analysis and strategy generation module through the component sensor;

[0068] The strategy generation module 404 is used to analyze the startup parameters through the intelligent analysis and strategy generation module to generate startup and maintenance strategies for the emergency generator.

[0069] The power restoration module 405 is used to restore the main power supply of the emergency generator through the power failure control module after the emergency generator test is completed.

[0070] The report generation module 406 is used to obtain the target test data of the emergency generator through the report generation module, and generate an intelligent test report of the emergency generator based on the target test data and the start-up and maintenance strategy.

[0071] Preferably, the components and sensors installed on the emergency generator include: speed sensor, voltage sensor, current sensor, bearing vibration sensor, oil pressure / fuel pressure sensor, exhaust temperature sensor, and engine oil pressure sensor.

[0072] Parameter monitoring module 402 is specifically used for:

[0073] The emergency generator's starting speed is monitored by a speed sensor; its voltage value is monitored by a voltage sensor; its current value is monitored by a current sensor; its bearing vibration status is monitored by a bearing vibration sensor; its oil / fuel pressure is monitored by an oil / fuel pressure sensor; its exhaust temperature is monitored by an exhaust temperature sensor; and its oil pressure is monitored by an oil pressure sensor.

[0074] Preferably, the strategy generation module 404 is specifically used for:

[0075] The intelligent analysis and strategy generation module analyzes the startup parameters to obtain the startup success rate and component performance data of the emergency generator. Based on the startup success rate and component performance data, the module also calls upon the expert knowledge base and preset algorithm models to generate startup and maintenance strategies for the emergency generator.

[0076] Preferably, the report generation module 406 is specifically used for:

[0077] The automatic test data of the emergency generator is obtained through the report generation module; the automatic test data is summarized through the report generation module to obtain the key parameter curves of the emergency generator corresponding to the test process; and the target test data of the emergency generator is determined based on the key parameter curves.

[0078] Ideally, it should also include an anomaly analysis module.

[0079] The anomaly analysis module is used to send startup parameters to the data acquisition and processing module through component sensors; the data acquisition and processing module performs anomaly analysis on the startup parameters; if an anomaly is determined in the emergency generator startup, an anomaly warning is generated and the anomaly parameters are recorded.

[0080] Preferably, the power supply cut-off module 401 is also used to switch the main emergency equipment to main power supply through the power failure control module, cut off the power switch from the main power distribution board to the emergency power distribution board, and cut off the main power supply to the emergency power distribution board.

[0081] Preferably, the power restoration module 405 is also used to switch the main emergency equipment to emergency power supply through the power failure control module, restore the power switch from the main power distribution board to the emergency power distribution board, and restore the main power supply of the emergency power distribution board.

[0082] The aforementioned intelligent testing device for emergency generators can execute the methods provided in any embodiment of this application, and possesses the corresponding functional modules and beneficial effects for executing the methods. Technical details not described in detail in this embodiment can be found in the intelligent testing methods for emergency generators provided in any embodiment of this application.

[0083] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Figure 5 A block diagram of an exemplary electronic device suitable for implementing embodiments of the present application is shown. Figure 5 The electronic device 12 shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0084] like Figure 5 As shown, the electronic device 12 is represented in the form of a general-purpose computing device. The components of the electronic device 12 may include, but are not limited to: one or more processors or processing units 16, system memory 28, and bus 18 connecting different system components (including system memory 28 and processing unit 16).

[0085] Bus 18 represents one or more of several bus architectures, including a memory bus or memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the various bus architectures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnect (PCI) bus.

[0086] Electronic device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by electronic device 12, including volatile and non-volatile media, removable and non-removable media.

[0087] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. Electronic device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be used to read and write non-removable, non-volatile magnetic media (… Figure 5 Not shown; usually referred to as a "hard drive"). Although Figure 5As not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk") and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the embodiments of this application.

[0088] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. Program modules 42 typically perform the functions and / or methods described in the embodiments of this application.

[0089] Electronic device 12 can also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), and with one or more devices that enable a user to interact with electronic device 12, and / or with any device that enables electronic device 12 to communicate with one or more other computing devices (e.g., network card, modem, etc.). This communication can be performed via input / output (I / O) interface 22. Furthermore, electronic device 12 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via network adapter 20. As shown, network adapter 20 communicates with other modules of electronic device 12 via bus 18. It should be understood that, although... Figure 5 As not shown, other hardware and / or software modules may be used in conjunction with electronic device 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0090] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the intelligent testing method for emergency generators provided in the embodiments of this application.

[0091] This application also provides a computer storage medium.

[0092] The computer-readable storage medium of this application embodiment can be any combination of one or more computer-readable media. The computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. For example, a computer-readable storage medium can be—but is not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0093] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0094] The program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, or any suitable combination thereof.

[0095] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages—such as Java, Smalltalk, and C++—as well as conventional procedural programming languages—such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0096] This application also provides a computer program product.

[0097] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer program products, which may include one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be an application-specific or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0098] Note that the above description is merely a preferred embodiment and the technical principles employed in this application. Those skilled in the art will understand that this application 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 this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments. Many other equivalent embodiments may be included without departing from the concept of this application, and the scope of this application is determined by the scope of the appended claims.

Claims

1. A smart testing method for emergency generators, characterized in that, The method includes: In response to the intelligent test indication of the emergency generator, the main power supply of the emergency generator is cut off through the power failure control module; During the automatic start-up process of the emergency generator, the start-up parameters of the emergency generator are monitored by component sensors installed on the emergency generator. The component sensors send the startup parameters to the intelligent analysis and strategy generation module; The intelligent analysis and strategy generation module analyzes the startup parameters to generate startup and maintenance strategies for the emergency generator. After the emergency generator test is completed, the main power supply of the emergency generator is restored through the power failure control module; The target test data of the emergency generator is obtained through the report generation module, and an intelligent test report of the emergency generator is generated based on the target test data and the start-up and maintenance strategy.

2. The method according to claim 1, characterized in that, The components and sensors installed on the emergency generator include: speed sensor, voltage sensor, current sensor, bearing vibration sensor, oil pressure / fuel pressure sensor, exhaust temperature sensor, and engine oil pressure sensor; The startup parameters of the emergency generator are monitored by component sensors installed on the emergency generator, including: The speed of the emergency generator during startup is monitored by the speed sensor; The voltage sensor monitors the voltage value of the emergency generator during startup; the current sensor monitors the current value of the emergency generator during startup. The bearing vibration status of the emergency generator during startup is monitored using the bearing vibration sensor. The oil / fuel pressure of the emergency generator during startup is monitored by the oil pressure / fuel pressure sensor; the exhaust temperature of the emergency generator during startup is monitored by the exhaust temperature sensor; and the oil pressure of the emergency generator during startup is monitored by the oil pressure sensor.

3. The method according to claim 1, characterized in that, The intelligent analysis and strategy generation module analyzes the startup parameters and generates a startup and maintenance strategy for the emergency generator, including: The startup parameters are analyzed by the intelligent analysis and strategy generation module to obtain the startup success rate and component performance data of the emergency generator; The intelligent analysis and strategy generation module calls upon the expert knowledge base and preset algorithm models to generate the startup and maintenance strategy of the emergency generator based on the startup success rate and component performance data of the emergency generator.

4. The method according to claim 1, characterized in that, The target test data of the emergency generator is obtained through the report generation module, including: The automatic test data of the emergency generator is obtained through the report generation module; The report generation module summarizes the automatic test data to obtain the key parameter curves of the emergency generator corresponding to the test process; and determines the target test data of the emergency generator based on the key parameter curves.

5. The method according to claim 1, characterized in that, The method further includes: The component sensor sends the start-up parameters to the data acquisition and processing module; The data acquisition and processing module performs anomaly analysis on the startup parameters; if it is determined that the emergency generator startup is abnormal, an anomaly warning is generated and the abnormal parameters are recorded.

6. The method according to claim 1, characterized in that, Before monitoring the startup parameters of the emergency generator via component sensors installed on the emergency generator during the automatic start-up process, the method further includes: The power failure control module switches the main emergency equipment to main power supply, cuts off the power switch from the main power distribution board to the emergency power distribution board, and cuts off the main power supply to the emergency power distribution board.

7. The method according to claim 1, characterized in that, The method further includes: The power failure control module switches the main emergency equipment to emergency power supply, restores the power switch from the main power distribution board to the emergency power distribution board, and restores the main power supply to the emergency power distribution board.

8. An intelligent testing device for emergency generators, characterized in that, The device includes: The power supply cut-off module is used to cut off the main power supply of the emergency generator in response to the intelligent test indication of the emergency generator through the power cut-off control module; The parameter monitoring module is used to monitor the start-up parameters of the emergency generator through component sensors installed on the emergency generator during the automatic start-up process of the emergency generator; The parameter sending module is used to send the start-up parameters to the intelligent analysis and strategy generation module through the component sensor; The strategy generation module is used to analyze the startup parameters through the intelligent analysis and strategy generation module to generate the startup and maintenance strategy for the emergency generator; The power supply restoration module is used to restore the main power supply of the emergency generator through the power failure control module after the emergency generator has been tested. The report generation module is used to obtain the target test data of the emergency generator through the report generation module, and generate an intelligent test report of the emergency generator based on the target test data and the start-up and maintenance strategy.

9. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the emergency generator intelligent testing method as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the intelligent testing method for emergency generators as described in any one of claims 1 to 7.

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