Remote operation and maintenance monitoring system for diesel generator

Abstract

The invention discloses a remote operation and maintenance monitoring system for a diesel generator, belongs to the technical field of generators, and solves the problems that the diesel generator cannot be repaired due to incomplete maintenance parts and tools under the condition that the operation and maintenance personnel are insufficient in troubleshooting experience, and the maintenance time is shortened. And the problem that the fault cannot be eliminated due to limited experience can be solved. Comprising an oil path information acquisition module, a generator abnormal sound processing module, a data processing module, a control module and a wireless communication module. When the diesel generator operates, fuel oil pipeline data are collected through the oil path information collection module and transmitted to the data processing module, the data processing module preliminarily judges a fault part and outputs a result to the control module, and the control module controls the generator abnormal sound processing module to collect noise and transmit the noise to the data processing module to secondarily confirm the fault part. And a final result is output through the wireless communication module, so that operation and maintenance personnel can predict faults and carry all parts and tools, and troubleshooting and repairing are facilitated.

Description

Technical Field

[0001] The present invention relates to the technical field of generators, and in particular to a remote operation and maintenance monitoring system for diesel generators. Background Art

[0002] A diesel generator is a device that converts the chemical energy of diesel into electrical energy. It is widely used in industries such as industry, commerce, agriculture, and emergency backup power. Its working principle is to convert the chemical energy of diesel into mechanical energy by driving the generator through a diesel engine, and then convert the mechanical energy into electrical energy through a generator. The basic structure of a diesel generator consists of a diesel engine and a generator, and the diesel engine is used as a power source to drive the generator to generate electricity. The basic structure of a diesel engine includes components such as a cylinder, a piston, a cylinder head, an intake valve, an exhaust valve, a piston pin, a connecting rod, a crankshaft, a bearing, and a flywheel. The working process of a diesel generator includes four strokes: intake, compression, combustion, work (expansion), and exhaust. In practical applications, diesel generators can be used as self-purchased power supplies, emergency power supplies, or alternative power supplies. For example, in the case where the power supply system working unit does not have grid power supply, such as agricultural and pastoral areas and villages in remote areas, diesel generators usually become the preferred choice for self-purchased power supplies. In the case of grid power supply, in order to better avoid accidents, such as circuit failures or temporary power outages, self-purchased power supplies are still used for emergency power generation. In order to ensure the normal operation and extend the service life of diesel generators, regular maintenance and care are essential. Maintenance includes daily inspection, lubrication system inspection, cooling system inspection, battery inspection, etc.

[0003] Once a diesel generator fails, it is necessary to arrange for operation and maintenance personnel to go to the site as soon as possible to check the condition of the diesel generator and judge the specific problem of the diesel generator based on their own years of experience.

[0004] For example, a method for troubleshooting an offshore diesel generator set with application number CN202311835189.1 has the following technical points: the handling of fuel system faults includes the following: 5.1. Troubleshooting of the fuel pump: 5.1.1. Ensure that there is enough fuel in the fuel tank, and check whether the fuel pump, filter and nozzle are working properly. If blockage or damage is found, clean or replace them in time; 5.1.2. Check whether the battery is fully charged, and observe whether there is any shedding or corrosion; if charging or replacing the battery is required, follow the operation manual; 5.1.3. Check whether the start switch, start relay and related circuits are normal. If there are problems such as short circuit and poor contact, the corresponding parts should be repaired or replaced; 5.1.4. Check whether the indicator lights and buttons on the control panel are normal, and ensure that all switches are in the correct position. If a fault indicator light is on, find the corresponding fault code according to the operation manual and eliminate it; 5.2. Troubleshooting of the fuel filter: 5.2.1. Check the blockage of the fuel filter. If the fuel filter is blocked, clean or replace the fuel filter; 5.2.2. Check the sealing of the fuel filter If there is oil leakage, it is caused by aging and damage of the gasket or loose connection bolts. The gasket or fastening bolts should be replaced in time; 5.3, Fuel injection system troubleshooting: 5.3.1, Check the injection pump fuel supply pressure. If the fuel supply pressure is unstable or insufficient, it is caused by the blockage of the air inlet, filter element or damage to the internal parts of the injection pump. It is necessary to clean the air inlet and filter element, repair or replace the internal parts of the injection pump; 5.3.2, Check the nozzle spray effect. If the nozzle is blocked or the spray effect is poor, you can take measures such as disassembly, cleaning and replacement of the nozzle; 5.3. 3. Check the sealing performance of the injection pump. If there is oil leakage, it is caused by aging and damage of the seal or loose connection bolts. Replace the seal or tighten the bolts in time; 5.4. Fuel line fault handling: 5.4.1. Check the connection of the fuel line. If it is loose or leaking, tighten the bolts and replace the gasket in time; 5.4.2. Check the blockage of the fuel line. If the fuel line is blocked, clean and ventilate it; 5.4.3. Check the thermal insulation performance of the fuel line. If the insulation layer is aged or damaged, repair or replace the insulation layer in time.

[0005] The above technical solution lists the fuel system failures in diesel generators and the fault handling methods. For operation and maintenance personnel, it can provide a certain basis for fault judgment, thereby ensuring that the operation and maintenance personnel can not only judge the problems, but also carry out symptomatic repairs on the problems caused by the diesel generator.

[0006] However, when actually repairing a diesel generator, if the operation and maintenance personnel troubleshoot the diesel generator on-site based on their experience, it is possible that the operation and maintenance personnel do not carry all the repair parts and tools, and they overly rely on the experience of the operation and maintenance personnel when troubleshooting the diesel generator on-site. When the operation and maintenance personnel lack troubleshooting experience, not only will they be unable to repair the diesel generator due to incomplete repair parts and tools, but they will also be unable to troubleshoot the fault due to limited experience, which will ultimately cause the diesel generator to always maintain low output power due to a fuel system failure, and ultimately cause the equipment connected to the diesel generator to operate at low voltage and low power, thereby affecting the service life of the power receiving equipment.

[0007] Therefore, a diesel generator remote operation and maintenance monitoring system is proposed to solve or alleviate the above problems. Summary of the invention

[0008] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a diesel generator remote operation and maintenance monitoring system.

[0009] In order to achieve the above object, the present invention adopts the following technical solutions: A remote operation and maintenance monitoring system for a diesel generator comprises an oil circuit information acquisition module, a generator abnormal noise processing module, a data processing module, a control module, and a wireless communication module. The oil circuit information acquisition module is used to collect data from various locations of a fuel pipeline in a diesel generator and feed it back to the data processing module. The generator abnormal noise processing module is used to collect noise from the diesel generator and filter the working noise before transmitting it to the data processing module. The data processing module is used to preliminarily determine a fault location of the fuel pipeline according to the data fed back from various locations and output a preliminary result to the control module, and to re-confirm the fault location of the fuel pipeline according to the noise and output a secondary result. The control module is used to control the operation of the generator abnormal noise processing module according to the preliminary result. The wireless communication module is used to receive the secondary result of the data processing module and transmit it wirelessly to a host computer. The output end of the oil circuit information acquisition module and the output end of the generator abnormal noise processing module are both coupled to the input end of the data processing module. The output end of the data processing module is coupled to the input end of the control module and the wireless communication module. The output end of the control module is coupled to the input end of the generator abnormal noise processing module.

[0010] Preferably, the oil circuit information acquisition module includes a liquid level sensor, a temperature sensor, a first liquid flow sensor, a second liquid flow sensor, and a hydraulic sensor. The liquid level sensor is arranged in the fuel tank in the fuel line. The liquid level sensor is used to collect the amount of fuel in the fuel tank in the fuel line and feed back the remaining oil signal to the data processing module. The probe of the temperature sensor is arranged in the fuel tank in the fuel line. The temperature sensor is used to collect the fuel temperature in the fuel tank in the fuel line and feed back the temperature signal to the data processing module. The first liquid flow sensor is connected between the fuel tank in the fuel line and the suction pump. The first liquid flow sensor is used to collect the amount of fuel leaving the fuel tank in the fuel line and feed back the oil flow signal to the data processing module. The second liquid flow sensor is connected between the fuel filter and the fuel regulating valve in the fuel line. The second liquid flow sensor is used to collect the amount of fuel leaving the fuel filter and feed back the filtered flow signal to the data processing module. The hydraulic sensor is connected between the fuel filter and the fuel regulating valve in the fuel line. The hydraulic sensor is used to collect the fuel hydraulic pressure between the fuel filter and the fuel regulating valve and feed back the hydraulic pressure signal to the data processing module.

[0011] Preferably, the data processing module includes a data processor, which is used to preliminarily determine the fault location of the fuel line according to the feedback data from various locations and output the preliminary result to the control module, and to re-confirm the fault location of the fuel line according to the noise and output the secondary result.

[0012] Preferably, the data processing module is used to preliminarily determine the fault location of the fuel line according to the feedback data and output the preliminary result to the control module, including the following steps: Input and determine whether the output power of the diesel generator has decreased. If it has decreased, proceed to the subsequent steps. If it has not decreased, no subsequent steps are required. Setting data thresholds for data at various locations in the fuel pipeline, the data thresholds including a remaining fuel threshold, a temperature threshold, an oil flow threshold, a filter flow threshold, a first hydraulic threshold, and a second hydraulic threshold; Receive a remaining oil signal, a temperature signal, an oil flow signal, a filter flow signal, and a hydraulic signal and compare them with data thresholds of data at various locations in the fuel line; According to the data threshold comparison results of the remaining oil signal, temperature signal, oil flow signal, filter flow signal, and hydraulic signal with the data at various locations in the fuel pipeline, the faults are classified and matched, and the preliminary results are output.

[0013] Preferably, the method of classifying and matching faults according to the comparison results of data thresholds between the remaining oil signal, the temperature signal, the oil flow signal, the filter flow signal, and the hydraulic signal and the data at various locations in the fuel pipeline, and outputting preliminary results, comprises the following steps: When the oil pump receives a working instruction, the remaining oil signal is less than the remaining oil threshold, the oil flow signal is less than the oil flow threshold, and the temperature signal is greater than the temperature threshold, it is determined that the fault is insufficient oil in the oil tank; When the oil pump receives a working instruction, the oil flow rate signal is less than the oil flow rate threshold, the remaining oil signal is greater than the remaining oil threshold, and the temperature signal is less than the temperature threshold, it is determined that the fault is low-temperature solidification of the fuel in the fuel tank; When the oil pump receives a working instruction, the oil flow rate signal is zero, the remaining oil signal is greater than the remaining oil threshold, and the temperature signal is greater than the temperature threshold, it is determined that the fault is a damage to the oil pump; When the oil pump receives a working instruction, the remaining oil signal is greater than the remaining oil threshold, the temperature signal is greater than the temperature threshold, the oil flow signal is greater than the oil flow threshold, and the falling flow of the remaining oil signal is greater than the oil flow signal, the fault is judged to be oil leakage in the oil tank; When the oil pump receives a working instruction, the remaining oil signal is greater than the remaining oil threshold, the temperature signal is greater than the temperature threshold, and the oil flow rate signal is less than the oil flow rate threshold, the fault is judged to be a leak in the oil tank; When the oil flow rate signal is greater than the oil flow rate threshold and the filter flow rate signal is less than the filter flow rate threshold, it is determined that the fault is fuel filter aging; When the oil flow rate signal is greater than the oil flow rate threshold and the filter flow rate signal is zero, it is determined that the fault is a fuel filter blockage; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is greater than the second hydraulic threshold, it is determined that the fault is that the fuel regulating valve is completely blocked; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is between the first hydraulic threshold and the second hydraulic threshold, it is determined that the fault is a partial blockage of the fuel regulating valve; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is equal to the atmospheric pressure, the fault is judged to be a fuel regulating valve leakage; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is less than the first hydraulic threshold, the fault is determined to be an injector fault; Classify and match faults according to the comparison results and output preliminary results.

[0014] Preferably, the second confirmation of the fuel line fault location based on the noise and output of the second result comprises the following steps: Receiving fault abnormal sound of corresponding category from the noise processing module; Compare the corresponding category of fault abnormal sound with the preliminary result. If they are consistent, the secondary result is output as the determined fault location. If they are inconsistent, the secondary result is output as two suspected fault locations.

[0015] Preferably, the generator abnormal sound processing module includes a sound collector, a noise processor, and a memory. The output end of the sound collector is coupled to the input end of the noise processor, and the noise processor is coupled to the memory. The probe of the sound collector is arranged on the inner side of the diesel generator and is arranged in contact with the inner wall of the diesel generator. The sound collector is used to collect the diesel generator noise and feed it back to the noise processor. The memory is used to store the working noise of the diesel generator and various categories of fault abnormal sounds. The noise processor is used to filter the working noise of the diesel generator and then identify the corresponding category of fault abnormal sounds and feed them back to the data processing module.

[0016] Preferably, the noise processor is used to filter the working noise of the diesel generator and then identify the corresponding type of fault abnormal noise and feed it back to the data processing module, including the following steps: Extract the diesel generator noise and the diesel generator trouble-free working noise, and filter the diesel generator trouble-free working noise from the diesel generator noise through a filter to obtain an abnormal sound signal; The time domain characteristics of the abnormal sound signal are described by the mean, variance and peak value of the abnormal sound signal; The power spectrum density is used to describe the distribution of the signal in the frequency domain, and the intensity or energy of a specific frequency band is extracted to obtain the frequency characteristics; Extract time-frequency features through wavelet transform; The similarity between the signal to be processed and each fault mode is calculated using the Euclidean distance; Output the corresponding category of fault abnormal sound according to the similarity.

[0017] Preferably, the control module comprises a controller, and the controller is used to control the operation of the generator abnormal noise processing module according to the preliminary result.

[0018] Preferably, the wireless communication module includes one of a Bluetooth module, a WiFi module, a LTE module, a Zigbee module, and a LoRa module.

[0019] The present invention has the following beneficial effects: When the diesel generator is running, the present invention uses the oil circuit information acquisition module to accurately obtain data of various parts of the fuel pipeline, and transmits these data to the data processing module. The data processing module quickly and preliminarily determines the location of the fuel pipeline fault based on the collected data, and sends the preliminary diagnosis result to the control module. It is worth mentioning that when the data processing module identifies potential problems in the diesel generator fuel system, it does not rely on a complex combination of a large amount of data, but focuses on data collection of specific parts of the fuel pipeline. Even if the amount of data is limited, it can accurately identify the problem and form a preliminary diagnosis result. On this basis, the control module instructs the generator abnormal noise processing module to start up. This module is responsible for collecting the noise of the diesel generator, filtering out the normal working noise, and then transmitting the effective noise data back to the data processing module. The data processing module performs secondary fault confirmation based on the noise data and obtains the secondary diagnosis result. Finally, the preliminary and secondary diagnosis results are integrated and the operation and maintenance monitoring results are output through the wireless communication module. In this way, the operation and maintenance personnel can use this system to know the fault of the diesel generator fuel system in advance, and then bring the corresponding parts and tools to the site. Even if the operation and maintenance personnel lack experience, they can rely on the guidance of the system to complete the troubleshooting and repair work quickly and efficiently, effectively avoiding delays in the maintenance process due to missing parts or tools. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 It is a structural block diagram of the present invention.

[0022] 1. Oil circuit information acquisition module; 2. Generator abnormal noise processing module; 3. Data processing module; 4. Control module; 5. Wireless communication module. DETAILED DESCRIPTION

[0023] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0024] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0026] In the description of the present invention, it should be understood that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, or are the orientations or positional relationships in which the product of the invention is conventionally placed when in use, or are the orientations or positional relationships conventionally understood by those skilled in the art. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0027] Furthermore, the terms “first”, “second”, “third”, etc. are merely used for distinguishing descriptions and are not to be understood as indicating or implying relative importance.

[0028] In the description of the present invention, it is also necessary to explain that, unless otherwise clearly specified and limited, the terms "set", "install", "connect", and "connect" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0029] A diesel generator remote operation and maintenance monitoring system, such as Figure 1 As shown, it includes an oil circuit information acquisition module 1, a generator abnormal sound processing module 2, a data processing module 3, a control module 4, and a wireless communication module 5. The oil circuit information acquisition module 1 is used to collect data from various locations in the fuel pipeline of the diesel generator and feed it back to the data processing module 3. The generator abnormal sound processing module 2 is used to collect diesel generator noise and filter the working noise before transmitting it to the data processing module 3. The data processing module 3 is used to preliminarily determine the fault location of the fuel pipeline according to the feedback data from various locations and output the preliminary result to the control module 4, and to confirm the fault location of the fuel pipeline according to the noise and output the secondary result. The control module 4 is used to control the generator abnormal sound processing module 2 to work according to the preliminary result. The wireless communication module 5 is used to receive the secondary result of the data processing module 3 and transmit it wirelessly to the host computer. The output end of the oil circuit information acquisition module 1 and the output end of the generator abnormal sound processing module 2 are both coupled to the input end of the data processing module 3. The output end of the data processing module 3 is coupled to the input end of the control module 4 and the wireless communication module 5. The output end of the control module 4 is coupled to the input end of the generator abnormal sound processing module 2.

[0030] The data processing module 3 includes a data processor, which is used to preliminarily determine the fault location of the fuel pipeline based on the feedback data from various locations and output the preliminary results to the control module 4, and to re-confirm the fault location of the fuel pipeline based on the noise and output the secondary results. The control module 4 includes a controller, which is used to control the operation of the generator abnormal sound processing module 2 based on the preliminary results. The wireless communication module 5 includes one of a Bluetooth module, a wifi module, an LTE module, a Zigbee module, and a LoRa module.

[0031] The oil circuit information acquisition module 1 includes a liquid level sensor, a temperature sensor, a first liquid flow sensor, a second liquid flow sensor, and a hydraulic sensor. The liquid level sensor is arranged in the fuel tank in the fuel pipeline. The liquid level sensor is used to collect the amount of fuel in the fuel tank in the fuel pipeline and feed back the remaining oil signal to the data processing module 3. The probe of the temperature sensor is arranged in the fuel tank in the fuel pipeline. The temperature sensor is used to collect the fuel temperature in the fuel tank in the fuel pipeline and feed back the temperature signal to the data processing module 3. The first liquid flow sensor is connected between the fuel tank in the fuel pipeline and the suction pump. The first liquid flow sensor is used to collect the amount of fuel leaving the fuel tank in the fuel pipeline and feed back the oil flow signal to the data processing module 3. The second liquid flow sensor is connected between the fuel filter and the fuel regulating valve in the fuel pipeline. The second liquid flow sensor is used to collect the amount of fuel leaving the fuel filter and feed back the filtered flow signal to the data processing module 3. The hydraulic sensor is connected between the fuel filter and the fuel regulating valve in the fuel pipeline. The hydraulic sensor is used to collect the fuel hydraulic pressure between the fuel filter and the fuel regulating valve and feed back the hydraulic signal to the data processing module 3.

[0032] The generator abnormal sound processing module 2 includes a sound collector, a noise processor, and a memory. The output end of the sound collector is coupled to the input end of the noise processor, and the noise processor is coupled to the memory. The probe of the sound collector is arranged on the inner side of the diesel generator and is arranged in contact with the inner wall of the diesel generator. The sound collector is used to collect the diesel generator noise and feed it back to the noise processor. The memory is used to store the working noise of the diesel generator and various types of fault abnormal sounds. The noise processor is used to filter the working noise of the diesel generator noise and then identify the corresponding type of fault abnormal sound and feed it back to the data processing module 3.

[0033] During the operation of the diesel generator, the present invention can collect data from various locations of the fuel pipeline in the diesel generator through the oil circuit information collection module 1, so that the data from various locations of the fuel pipeline in the diesel generator can be transmitted to the data processing module 3, and the data processing module 3 preliminarily determines the fault location of the fuel pipeline based on the feedback data from various locations and outputs the preliminary results to the control module 4. At this time, the data processing module 3 can already identify the specific problems that may exist in the fuel system of the diesel generator, and the identification of the specific problems does not require the collection of too much data for combination, but rather collects data from specific locations of the fuel pipeline in the diesel generator, ensuring that the specific problems can be identified without collecting a large amount of data. The identification is carried out as a preliminary result, and then on this basis, the control module 4 controls the generator abnormal noise processing module 2 to work, so as to collect the diesel generator noise and filter the working noise before passing it to the data processing module 3, so that the data processing module 3 re-confirms the fuel pipeline fault location according to the noise and outputs the secondary result. The preliminary result and the secondary result are combined to output the operation and maintenance monitoring result through the wireless communication module 5, ensuring that the operation and maintenance personnel can predict the fault in the fuel system of the diesel generator through this system, and then bring the necessary parts and tools, so that even inexperienced operation and maintenance personnel can also perform troubleshooting and repair actions more quickly, and it is not easy to miss parts and tools.

[0034] Preferably, the data processing module 3 is used to preliminarily determine the fault location of the fuel line according to the feedback data from various locations and output the preliminary result to the control module 4, including the following steps: Input and determine whether the output power of the diesel generator has decreased. If it has decreased, proceed to the subsequent steps. If it has not decreased, no subsequent steps are required. Setting data thresholds for data at various locations in the fuel pipeline, the data thresholds including a remaining fuel threshold, a temperature threshold, an oil flow threshold, a filter flow threshold, and a first hydraulic threshold and a second hydraulic threshold; Receive a remaining oil signal, a temperature signal, an oil flow signal, a filter flow signal, and a hydraulic signal and compare them with data thresholds of data at various locations in the fuel line; According to the data threshold comparison results of the remaining oil signal, temperature signal, oil flow signal, filter flow signal, and hydraulic signal with the data at various locations in the fuel pipeline, the faults are classified and matched, and the preliminary results are output.

[0035] In the above method steps, by setting data thresholds and comparison mechanisms, the system can identify various faults in the fuel pipeline. This method not only improves the accuracy of fault diagnosis, but also can quickly respond to changes in the output power of the diesel generator and promptly discover potential problems. For example, when the fuel tank is insufficient, the remaining fuel signal will be lower than the preset remaining fuel threshold. The system can quickly identify and output the fault results, reminding the operation and maintenance personnel to replenish fuel in time to avoid downtime due to insufficient fuel.

[0036] Preferably, the faults are classified and matched according to the data threshold comparison results of the residual oil signal, the temperature signal, the oil flow signal, the filter flow signal, and the hydraulic signal with the data at various locations in the fuel pipeline, and the preliminary results are output, including the following steps: When the oil pump receives a working instruction, the remaining oil signal is less than the remaining oil threshold, the oil flow signal is less than the oil flow threshold, and the temperature signal is greater than the temperature threshold, it is determined that the fault is insufficient oil in the oil tank; When the oil pump receives a working instruction, the oil flow rate signal is less than the oil flow rate threshold, the remaining oil signal is greater than the remaining oil threshold, and the temperature signal is less than the temperature threshold, it is determined that the fault is low-temperature solidification of the fuel in the fuel tank; When the oil pump receives a working instruction, the oil flow rate signal is zero, the remaining oil signal is greater than the remaining oil threshold, and the temperature signal is greater than the temperature threshold, it is determined that the fault is a damage to the oil pump; When the oil pump receives a working instruction, the remaining oil signal is greater than the remaining oil threshold, the temperature signal is greater than the temperature threshold, the oil flow signal is greater than the oil flow threshold, and the falling flow of the remaining oil signal is greater than the oil flow signal, the fault is judged to be oil leakage in the oil tank; When the oil pump receives a working instruction, the remaining oil signal is greater than the remaining oil threshold, the temperature signal is greater than the temperature threshold, and the oil flow rate signal is less than the oil flow rate threshold, the fault is judged to be a leak in the oil tank; When the oil flow rate signal is greater than the oil flow rate threshold and the filter flow rate signal is less than the filter flow rate threshold, it is determined that the fault is fuel filter aging; When the oil flow rate signal is greater than the oil flow rate threshold and the filter flow rate signal is zero, it is determined that the fault is a fuel filter blockage; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is greater than the second hydraulic threshold, it is determined that the fault is that the fuel regulating valve is completely blocked; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is between the first hydraulic threshold and the second hydraulic threshold, it is determined that the fault is a partial blockage of the fuel regulating valve; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is equal to the atmospheric pressure, the fault is judged to be a fuel regulating valve leakage; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is less than the first hydraulic threshold, the fault is determined to be an injector fault; Classify and match faults according to the comparison results and output preliminary results.

[0037] Through the above method steps, the system can accurately identify various complex fault conditions with detailed fault matching logic. Each fault has clear judgment conditions, ensuring the accuracy and reliability of fault diagnosis. For example, when the oil pump receives a working instruction but the oil flow signal is zero, the system can accurately determine that the oil pump is damaged. The operation and maintenance personnel can directly replace the oil pump based on this result without complex troubleshooting. This accurate fault diagnosis greatly improves maintenance efficiency and reduces downtime for maintenance.

[0038] Preferably, the second confirmation of the fuel line fault location based on the noise and output of the second result includes the following steps: Receiving fault abnormal sound of corresponding category from the noise processing module; Compare the corresponding category of fault abnormal sound with the preliminary result. If they are consistent, the secondary result is output as the determined fault location. If they are inconsistent, the secondary result is output as two suspected fault locations.

[0039] The noise secondary confirmation function further improves the accuracy of fault diagnosis. By comparing the preliminary results with the abnormal noise of the noise processing module, the system can more accurately determine the fault location. Even if the preliminary results are misjudged, the noise secondary confirmation can provide additional verification to ensure that the final fault diagnosis result is reliable.

[0040] Preferably, the noise processor is used to filter the working noise of the diesel generator and then identify the corresponding type of fault abnormal noise and feed it back to the data processing module 3, including the following steps: Extract the diesel generator noise and the diesel generator fault-free working noise, and filter the diesel generator fault-free working noise in the diesel generator noise through a filter to obtain the abnormal sound signal. Use a bandpass filter, a low-pass filter or a high-pass filter to filter out unnecessary frequency components and retain the fault frequency range of the diesel generator. The filtering formula is: ,in, is the filtered signal, is the filter frequency response, is the diesel generator noise, F is the Fourier transform, is the inverse Fourier transform; The time domain characteristics of the abnormal sound signal are described by the mean, variance and peak value of the abnormal sound signal; The power spectrum density is used to describe the distribution of the signal in the frequency domain and reveal the anomalies in frequency. , extract the intensity or energy of a specific frequency band (e.g., fault frequency) to obtain frequency characteristics; The time-frequency features are extracted by wavelet transform, especially when the signal has sudden or instantaneous characteristics. The wavelet transform formula is: ,in, is the mother wavelet, a and b are the scale and displacement parameters respectively; The Euclidean distance is used to calculate the similarity between the signal to be processed and each fault mode. , where x and y are the feature vectors of the signal to be processed and the fault template respectively, and n is the feature dimension; Output the corresponding category of fault abnormal sound according to the similarity.

[0041] The multi-feature extraction and similarity calculation methods of the noise processor enable the system to accurately identify abnormal noises caused by faults. Through comprehensive analysis of the time domain, frequency domain and time-frequency features, the system can comprehensively describe the characteristics of the abnormal noise signal, thereby more accurately matching the fault type. The time-frequency features extracted by wavelet transform can capture the changes of the abnormal noise signal on different time scales, providing richer information for fault diagnosis. This method not only improves the accuracy of fault diagnosis, but also can handle complex noise environments, ensuring that the system can work reliably under various working conditions.

[0042] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A diesel generator remote operation and maintenance monitoring system, characterized in that: The invention comprises an oil circuit information acquisition module (1), a generator abnormal noise processing module (2), a data processing module (3), a control module (4), and a wireless communication module (5), wherein the oil circuit information acquisition module (1) is used to collect data from various locations of the fuel pipeline in the diesel generator and feed it back to the data processing module (3), the generator abnormal noise processing module (2) is used to collect noise from the diesel generator and filter the working noise before transmitting it to the data processing module (3), the data processing module (3) is used to preliminarily determine the location of the fuel pipeline fault based on the feedback data from various locations and output the preliminary result to the control module (4), and to re-confirm the location of the fuel pipeline fault based on the noise. The fault location is determined and a secondary result is outputted. The control module (4) is used to control the operation of the generator abnormal noise processing module (2) according to the preliminary result. The wireless communication module (5) is used to receive the secondary result of the data processing module (3) and transmit it wirelessly to the host computer. The output end of the oil circuit information acquisition module (1) and the output end of the generator abnormal noise processing module (2) are both coupled to the input end of the data processing module (3). The output end of the data processing module (3) is coupled to the input end of the control module (4) and the wireless communication module (5). The output end of the control module (4) is coupled to the input end of the generator abnormal noise processing module (2).

2. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The oil circuit information acquisition module (1) comprises a liquid level sensor, a temperature sensor, a first liquid flow sensor, a second liquid flow sensor, and a hydraulic sensor. The liquid level sensor is arranged in the fuel tank in the fuel line. The liquid level sensor is used to collect the amount of fuel in the fuel tank in the fuel line and feed back a remaining fuel signal to the data processing module (3). The probe of the temperature sensor is arranged in the fuel tank in the fuel line. The temperature sensor is used to collect the temperature of the fuel in the fuel tank in the fuel line and feed back a temperature signal to the data processing module (3). The first liquid flow sensor is connected between the fuel tank in the fuel line and the suction pump. The first liquid flow sensor is used to collect the amount of fuel leaving the fuel tank in the fuel line and feed back an oil flow signal to the data processing module (3). The second liquid flow sensor is connected between the fuel filter and the fuel regulating valve in the fuel line. The second liquid flow sensor is used to collect the amount of fuel leaving the fuel filter and feed back a filtered flow signal to the data processing module (3). The hydraulic sensor is connected between the fuel filter and the fuel regulating valve in the fuel line. The hydraulic sensor is used to collect the fuel hydraulic pressure between the fuel filter and the fuel regulating valve and feed back a hydraulic pressure signal to the data processing module (3).

3. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The data processing module (3) comprises a data processor, which is used to preliminarily determine the fault location of the fuel pipeline based on the feedback data from various locations and output the preliminary result to the control module (4), and to re-confirm the fault location of the fuel pipeline based on the noise and output the secondary result.

4. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The data processing module (3) is used to preliminarily determine the fault location of the fuel line according to the feedback data from various locations and output the preliminary result to the control module (4), comprising the following steps: Input and determine whether the output power of the diesel generator has decreased. If it has decreased, proceed to the subsequent steps. If it has not decreased, there is no need to proceed to the subsequent steps. Setting data thresholds for data at various locations in the fuel pipeline, the data thresholds including a remaining fuel threshold, a temperature threshold, an oil flow threshold, a filter flow threshold, a first hydraulic threshold, and a second hydraulic threshold; Receive a remaining oil signal, a temperature signal, an oil flow signal, a filter flow signal, and a hydraulic signal and compare them with data thresholds of data at various locations in the fuel line; According to the data threshold comparison results of the remaining oil signal, temperature signal, oil flow signal, filter flow signal, and hydraulic signal with the data at various locations in the fuel pipeline, the faults are classified and matched, and the preliminary results are output.

5. A diesel generator remote operation and maintenance monitoring system according to claim 4, characterized in that: The method of classifying and matching faults according to the data threshold comparison results of the residual oil signal, the temperature signal, the oil flow signal, the filter flow signal, and the hydraulic signal with the data at various locations in the fuel pipeline, and outputting a preliminary result, includes the following steps: When the oil pump receives a working instruction, the remaining oil signal is less than the remaining oil threshold, the oil flow signal is less than the oil flow threshold, and the temperature signal is greater than the temperature threshold, it is determined that the fault is insufficient oil in the oil tank; When the oil pump receives a working instruction, the oil flow rate signal is less than the oil flow rate threshold, the remaining oil signal is greater than the remaining oil threshold, and the temperature signal is less than the temperature threshold, it is determined that the fault is low-temperature solidification of the fuel in the fuel tank; When the oil pump receives a working instruction, the oil flow rate signal is zero, the remaining oil signal is greater than the remaining oil threshold, and the temperature signal is greater than the temperature threshold, it is determined that the fault is a damage to the oil pump; When the oil pump receives a working instruction, the remaining oil signal is greater than the remaining oil threshold, the temperature signal is greater than the temperature threshold, the oil flow signal is greater than the oil flow threshold, and the falling flow of the remaining oil signal is greater than the oil flow signal, the fault is judged to be oil leakage in the oil tank; When the oil pump receives a working instruction, the remaining oil signal is greater than the remaining oil threshold, the temperature signal is greater than the temperature threshold, and the oil flow rate signal is less than the oil flow rate threshold, the fault is judged to be a leak in the oil tank; When the oil flow rate signal is greater than the oil flow rate threshold and the filter flow rate signal is less than the filter flow rate threshold, it is determined that the fault is fuel filter aging; When the oil flow rate signal is greater than the oil flow rate threshold and the filter flow rate signal is zero, it is determined that the fault is a fuel filter blockage; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is greater than the second hydraulic threshold, it is determined that the fault is that the fuel regulating valve is completely blocked; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is between the first hydraulic threshold and the second hydraulic threshold, it is determined that the fault is a partial blockage of the fuel regulating valve; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is equal to the atmospheric pressure, the fault is judged to be a fuel regulating valve leakage; When the filtered flow signal is greater than the filtered flow threshold and the hydraulic signal is less than the first hydraulic threshold, the fault is determined to be an injector fault; Classify and match faults according to the comparison results and output preliminary results.

6. A diesel generator remote operation and maintenance monitoring system according to claim 4, characterized in that: The second step of confirming the fuel line fault location based on the noise and outputting the second result includes the following steps: Receiving fault abnormal sound of corresponding category from the noise processing module; Compare the corresponding category of fault abnormal sound with the preliminary result. If they are consistent, the secondary result is output as the determined fault location. If they are inconsistent, the secondary result is output as two suspected fault locations.

7. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The generator abnormal noise processing module (2) comprises a sound collector, a noise processor, and a memory, wherein the output end of the sound collector is coupled to the input end of the noise processor, the noise processor is coupled to the memory, the probe of the sound collector is arranged on the inner side of the diesel generator and is arranged in close contact with the inner wall of the diesel generator, the sound collector is used to collect the diesel generator noise and feed it back to the noise processor, the memory is used to store the working noise of the diesel generator and various types of fault abnormal noise, and the noise processor is used to filter the working noise of the diesel generator noise and then identify the corresponding type of fault abnormal noise and feed it back to the data processing module (3).

8. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The noise processor is used to filter the working noise of the diesel generator and then identify the corresponding type of fault abnormal noise and feed it back to the data processing module (3), comprising the following steps: Extract the diesel generator noise and the diesel generator trouble-free working noise, and filter the diesel generator trouble-free working noise from the diesel generator noise through a filter to obtain an abnormal sound signal; The time domain characteristics of the abnormal sound signal are described by the mean, variance and peak value of the abnormal sound signal; The power spectrum density is used to describe the distribution of the signal in the frequency domain, and the intensity or energy of a specific frequency band is extracted to obtain the frequency characteristics; Extract time-frequency features through wavelet transform; The similarity between the signal to be processed and each fault mode is calculated using the Euclidean distance; Output the corresponding category of fault abnormal sound according to the similarity.

9. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The control module (4) comprises a controller, and the controller is used to control the operation of the generator abnormal noise processing module (2) according to the preliminary result.

10. A diesel generator remote operation and maintenance monitoring system according to claim 1, characterized in that: The wireless communication module (5) comprises one of a Bluetooth module, a WiFi module, an LTE module, a Zigbee module, and a LoRa module.

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