Generator car oil consumption monitoring method and device based on intelligent monitoring

Abstract

The invention discloses a power generation car oil consumption monitoring method and device based on intelligent monitoring. The method comprises the steps that after it is determined that a target power generation vehicle receives a power generation instruction, an oil mass sensing part is triggered to conduct oil mass monitoring on the target power generation vehicle to obtain an oil mass monitoring result, and power generation power data of the target power generation vehicle are obtained; the current oil consumption of the target generator car is obtained according to the oil mass monitoring result; comparing the current oil consumption with an oil consumption threshold value to obtain an oil consumption comparison result; when it is determined that the current oil consumption reaches the oil consumption threshold value or the generated power data are abnormal according to the oil consumption comparison result, an alarm signal is generated, and the alarm signal is used for prompting that the current oil consumption reaches the oil consumption threshold value or the generated power data are abnormal. The technical problem that the burden of a worker is increased due to the fact that a mode for ensuring the stability and safety of power generation depends on the fact that the field worker monitors the oil quantity condition of a generator oil meter and the power generation power data of a power generation car panel all the time in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of power generation vehicle control, and in particular to a method and device for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring. Background Art

[0002] Generator trucks are often used to ensure power supply during routine power outage maintenance and flood relief efforts. However, ensuring stable and safe power generation currently relies on on-site staff constantly monitoring the generator oil level and power output data displayed on the truck panel, significantly increasing the burden on staff.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] An embodiment of the present invention provides a method and device for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring, so as to at least solve the technical problem in the related art that the method for ensuring the stability and safety of power generation relies on on-site staff to constantly monitor the oil level on the generator oil gauge and the power generation data on the power generation vehicle panel, which increases the burden on the staff.

[0005] According to one aspect of an embodiment of the present invention, a method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring is provided, comprising: after determining that a target power generation vehicle has received a power generation instruction, triggering an fuel quantity sensing component to monitor the fuel quantity of the target power generation vehicle to obtain an fuel quantity monitoring result, and obtaining power generation power data of the target power generation vehicle, wherein the fuel quantity sensing component is arranged at the bottom of the fuel tank of the target power generation vehicle; obtaining the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result; comparing the current fuel consumption with a fuel consumption threshold to obtain a fuel consumption comparison result; and generating an alarm signal when it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation power data is abnormal, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold, or that the power generation power data is abnormal.

[0006] Optionally, the current fuel consumption of the target power generation vehicle is obtained according to the fuel quantity monitoring result, including: after determining that the target power generation vehicle has received a power generation instruction, triggering an image acquisition component to collect image data of the control panel of the power generation vehicle; preprocessing the image data to obtain target image data; obtaining the fuel quantity data displayed on the oil gauge on the control panel according to the target image data; and obtaining the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result and the fuel quantity data.

[0007] Optionally, obtaining the power generation data of the target power generation vehicle includes: after determining that the target power generation vehicle has received a power generation instruction, triggering an image acquisition component to acquire image data of the control panel of the power generation vehicle; preprocessing the image data to obtain target image data; obtaining power data displayed by a power display component on the control panel based on the target image data; and obtaining the power generation data based on the power data.

[0008] Optionally, the oil quantity data displayed on the oil gauge on the control panel is obtained based on the target image data, including: using a fast random transformation multi-line detection algorithm to detect the target image data to identify the oil quantity gauge in the target image data; and performing oil quantity identification on the oil quantity gauge to obtain the oil quantity data.

[0009] Optionally, the oil quantity data displayed on the oil gauge on the control panel is obtained according to the target image data, including: inputting the target image data into an oil quantity gauge feature recognition model to process the target image data using the oil quantity gauge feature recognition model to obtain oil quantity gauge feature information in the target image data, wherein the oil quantity gauge feature recognition model is obtained through machine learning training using multiple sets of training data, each of the multiple sets of training data includes: sample image data and sample oil quantity gauge feature information corresponding to the sample image data; and obtaining the oil quantity data according to the oil quantity gauge feature information.

[0010] Optionally, after generating the alarm signal, the fuel consumption monitoring method for a power generation vehicle based on intelligent monitoring further includes: comparing and analyzing the current fuel consumption with the historical fuel consumption to obtain a comparison and analysis result; and determining whether there is an abnormality in the current fuel consumption based on the comparison and analysis result.

[0011] Optionally, the fuel consumption monitoring method for a power generation vehicle based on intelligent monitoring further includes: updating the log information of the target power generation vehicle according to the current fuel consumption and the power generation data, wherein the log information is used to record power generation related data of the target power generation vehicle.

[0012] According to another aspect of an embodiment of the present invention, a fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring is also provided, including: a processing module, which is used to trigger the oil quantity sensing component to monitor the fuel quantity of the target power generation vehicle after determining that the target power generation vehicle has received a power generation instruction, to obtain an fuel quantity monitoring result, and obtain the power generation power data of the target power generation vehicle, wherein the oil quantity sensing component is arranged at the bottom of the fuel tank of the target power generation vehicle; an acquisition module, which is used to obtain the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result; a comparison module, which is used to compare the current fuel consumption with a fuel consumption threshold to obtain a fuel consumption comparison result; a generation module, which is used to generate an alarm signal when it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold, or the power generation data is abnormal.

[0013] Optionally, the acquisition module includes: a first triggering unit, used to trigger the image acquisition component to collect image data of the control panel of the target power generation vehicle after determining that the target power generation vehicle receives the power generation instruction; a first preprocessing unit, used to preprocess the image data to obtain target image data; a first acquisition unit, used to obtain the oil quantity data displayed on the oil gauge on the control panel based on the target image data; and a second acquisition unit, used to obtain the current fuel consumption of the target power generation vehicle based on the oil quantity monitoring result and the oil quantity data.

[0014] Optionally, the processing module includes: a second triggering unit, used to trigger the image acquisition component to collect image data of the control panel of the power generation vehicle after determining that the target power generation vehicle has received the power generation instruction; a second preprocessing unit, used to preprocess the image data to obtain target image data; a third acquisition unit, used to obtain the power data displayed by the power display component on the control panel based on the target image data; and a fourth acquisition unit, used to obtain the generated power data based on the power data.

[0015] Optionally, the first acquisition unit includes: a detection subunit, used to detect the target image data using a fast random transformation multi-line detection algorithm to identify the fuel level gauge in the target image data; and an identification subunit, used to identify the fuel level of the fuel level gauge to obtain the fuel level data.

[0016] Optionally, the first acquisition unit includes: an input subunit, used to input the target image data into a fuel gauge feature recognition model, so as to process the target image data using the fuel gauge feature recognition model to obtain fuel gauge feature information in the target image data, wherein the fuel gauge feature recognition model is obtained through machine learning training using multiple sets of training data, and each set of the multiple sets of training data includes: sample image data and sample fuel gauge feature information corresponding to the sample image data; an acquisition subunit, used to obtain the fuel data based on the fuel gauge feature information.

[0017] Optionally, the fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring further includes: a comparison and analysis module for comparing and analyzing the current fuel consumption with the historical fuel consumption after generating an alarm signal to obtain a comparison and analysis result; and a determination module for determining whether there is an abnormality in the current fuel consumption based on the comparison and analysis result.

[0018] Optionally, the fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring further includes: an update module for updating the log information of the target power generation vehicle according to the current fuel consumption and the power generation data, wherein the log information is used to record power generation related data of the target power generation vehicle.

[0019] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, wherein the computer-readable storage medium includes a stored program, wherein the program executes any one of the above-mentioned methods for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring.

[0020] According to another aspect of an embodiment of the present invention, a processor is further provided, which is used to run a program, wherein when the program is run, any one of the above-mentioned methods for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring is executed.

[0021] According to another aspect of an embodiment of the present invention, a computer program product is provided, comprising computer instructions, which, when executed by a processor, execute any one of the above-mentioned methods for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring.

[0022] In an embodiment of the present invention, after determining that a target power generation vehicle has received a power generation instruction, an oil level sensing component is triggered to monitor the oil level of the target power generation vehicle to obtain an oil level monitoring result and obtain the power generation data of the target power generation vehicle, wherein the oil level sensing component is arranged at the bottom of the fuel tank of the target power generation vehicle; the current fuel consumption of the target power generation vehicle is obtained according to the oil level monitoring result; the current fuel consumption is compared with the fuel consumption threshold to obtain a fuel consumption comparison result; when it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, an alarm signal is generated, wherein the alarm signal is used to indicate that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal. The technical solution provided by the present invention achieves the purpose of accurately reading data through highly sensitive sensors and image processing technology, conveniently querying using advanced data processing technology, and accurately analyzing alarms using oil level sensors. At the same time, strict safety measures and intelligent functions are adopted, thereby achieving the technical effect of all-weather intelligent remote real-time monitoring, improving the stability and safety of power generation, and thus solving the technical problem that the method for ensuring the stability and safety of power generation in the related art relies on on-site staff to constantly monitor the oil level of the generator oil gauge and the power generation data on the power generation vehicle panel, which increases the burden on staff. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0024] Figure 1 This is a hardware structure block diagram of a mobile terminal for a method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to an embodiment of the present invention;

[0025] Figure 2 is a flow chart of a method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to an embodiment of the present invention;

[0026] Figure 3 2 is a schematic diagram of a fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring according to an embodiment of the present invention. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the solutions of the present invention, 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 embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] As described in the background, prior art methods for ensuring stable and safe power generation rely on on-site staff constantly monitoring the oil level on the generator's oil gauge and the power generation data displayed on the generator vehicle's panel, which increases the burden on staff. To address these shortcomings, embodiments of the present invention provide a method and apparatus for monitoring fuel consumption on a generator vehicle based on intelligent monitoring, as well as a computer-readable storage medium, processor, and computer program product.

[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0031] The method embodiments provided in the embodiments of the present invention can be executed in a mobile terminal, a computer terminal or a similar computing device. Taking running on a mobile terminal as an example, Figure 1 This is a hardware structure block diagram of a mobile terminal for a method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to an embodiment of the present invention. Figure 1 As shown, the mobile terminal may include one or more ( Figure 1 Only one is shown) a processor 102 (the processor 102 may include but is not limited to a microprocessor MCU or a programmable logic device FPGA and other processing devices) and a memory 104 for storing data, wherein the mobile terminal may also include a transmission device 106 and an input and output device 108 for communication functions. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the mobile terminal. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0032] Memory 104 can be used to store computer programs, such as application software programs and modules, such as the computer program corresponding to the method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring in an embodiment of the present invention. Processor 102 executes the computer programs stored in memory 104 to execute various functional applications and data processing, thereby implementing the aforementioned method. Memory 104 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 104 may further include memory remotely located from processor 102, which can be connected to the mobile terminal via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. Transmission device 106 is used to receive or transmit data via a network. Specific examples of such networks may include a wireless network provided by the mobile terminal's telecommunications provider. In one example, transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In one example, the transmission device 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0033] According to an embodiment of the present invention, a method embodiment of a method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] Figure 2 FIG. 1 is a flow chart of a method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to an embodiment of the present invention. Figure 2 As shown, the method includes the following steps:

[0035] In step S202, after determining that the target power generation vehicle has received the power generation instruction, the oil level sensing component is triggered to monitor the oil level of the target power generation vehicle to obtain the oil level monitoring result and the power generation power data of the target power generation vehicle, wherein the oil level sensing component is set at the bottom of the oil tank of the target power generation vehicle.

[0036] In this embodiment, after determining that the target power generation vehicle has received the power generation instruction, the oil level is monitored in real time through the oil level sensing component to ensure that the oil level can be replenished in time when it is insufficient during the power generation process, avoiding power generation interruption due to insufficient oil level. Obtaining the power generation power data helps to understand the power generation efficiency and the working status of the generator.

[0037] It should be noted that the above-mentioned oil level sensing component adopts a non-contact ultrasonic oil level sensor, which uses a high-performance embedded chip and a high-sensitivity ultrasonic probe. It can record the vehicle's oil level in real time and realize data interaction through the interface. The collected real-time oil level will be used as important data on vehicle fuel consumption, providing a vehicle monitoring and management platform for data processing, and transmitting the data to the background through GPS equipment for data statistics, report analysis and query.

[0038] Step S204: obtaining the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result.

[0039] In this embodiment, the current fuel level of the target power generation vehicle can be known through the fuel level monitoring result, and the fuel consumption of the power generation vehicle can be monitored in real time, so as to promptly discover abnormal fuel consumption or optimization space for fuel saving.

[0040] Step S206: compare the current fuel consumption with the fuel consumption threshold to obtain a fuel consumption comparison result.

[0041] In this embodiment, after the cloud platform obtains the fuel level value through the algorithm, it compares the fuel level value (i.e., the current fuel consumption) with the proposed threshold value, so that abnormal fuel consumption of the vehicle can be discovered in time to avoid further damage and safety hazards.

[0042] Step S208, when it is determined based on the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, an alarm signal is generated, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal.

[0043] In this embodiment, an alarm signal is generated when the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, that is, an alarm instruction is issued when the fuel value is lower than the threshold, which can improve the efficiency and reliability of the power generation vehicle, understand the current fuel consumption situation and power generation data, and improve the efficiency of handling emergencies.

[0044] It should be noted that in addition to basic data monitoring, the equipment also has intelligent functions.

[0045] Optionally, the above-mentioned intelligent functions may include but are not limited to: report analysis, fuel alarm and report log functions. Among them, the report analysis function uses data analysis algorithms to perform statistics and analysis on the collected data, and the generated reports may include but are not limited to: power consumption, fuel consumption and working hours, etc.

[0046] It should be noted that the above-mentioned alarm analysis function classifies, counts and analyzes the causes of various alarm events, such as refueling alarms, reduced fuel level alarms and abnormal vehicle fuel level alarms. Among them, the fuel consumption threshold reminder function can enable the equipment to make real-time early warning actions when the fuel consumption reaches the threshold, which can help users quickly locate problems, ensure the stability of power generation, and realize standardized management of vehicle fuel consumption.

[0047] As can be seen from the above, in an embodiment of the present invention, after determining that the target power generation vehicle has received the power generation instruction, the oil level sensing component is triggered to monitor the oil level of the target power generation vehicle to obtain the oil level monitoring result, and the power generation power data of the target power generation vehicle is obtained, wherein the oil level sensing component is arranged at the bottom of the fuel tank of the target power generation vehicle; the current fuel consumption of the target power generation vehicle is obtained according to the oil level monitoring result; the current fuel consumption is compared with the fuel consumption threshold to obtain the fuel consumption comparison result; when it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, an alarm signal is generated, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold, or the power generation data is abnormal, thereby achieving the goal of accurately reading data through highly sensitive sensors and image processing technology, and using advanced data processing technology for convenient query, using oil level sensors for accurate alarm analysis, and at the same time, adopting strict safety measures and intelligent functions, thereby achieving the technical effect of all-weather intelligent remote real-time monitoring, and improving the stability and safety of power generation.

[0048] The above-mentioned technical solution provided by the embodiment of the present invention solves the technical problem that the method used in the related art to ensure the stability and safety of power generation relies on on-site staff to constantly monitor the oil level on the generator oil gauge and the power generation data on the power generation vehicle panel, which increases the burden on the staff.

[0049] According to the above embodiment of the present invention, the current fuel consumption of the target power generation vehicle is obtained based on the fuel quantity monitoring result, including: after determining that the target power generation vehicle has received the power generation instruction, triggering the image acquisition component to collect image data of the control panel of the power generation vehicle; preprocessing the image data to obtain target image data; obtaining the fuel quantity data displayed on the fuel gauge on the control panel based on the target image data; and obtaining the current fuel consumption of the target power generation vehicle based on the fuel quantity monitoring result and the fuel quantity data.

[0050] In this embodiment, after the target power generation vehicle receives the power generation instruction, the image acquisition component is triggered to collect image data of the control panel of the power generation vehicle and pre-process the image data. Through image processing technology, the accuracy of oil reading can be improved, the oil volume data displayed on the oil gauge on the control panel can be obtained, the current fuel consumption of the target power generation vehicle can be obtained, and the oil volume information of the power generation vehicle can be obtained in real time, ensuring that the oil volume is accurately grasped during the power generation process.

[0051] It should be noted that the equipment has all-weather monitoring capabilities and can work normally under various lighting and weather conditions. Through ultrasonic oil level sensing technology and remote monitoring technology, it ensures that the oil gauge and panel data can be accurately read at any time, including: 1) Ultrasonic oil level sensing technology uses a non-contact ultrasonic oil level sensor; 2) Remote monitoring technology uses advanced optical lenses with automatic focus and aperture adjustment functions to ensure clear imaging at different distances and lighting conditions. It has waterproof, dustproof, high temperature and low temperature protection measures to ensure the stable operation of the equipment in adverse weather and environments. The image processing algorithm is used to denoise, enhance, correct and other processes on the collected images to improve image clarity and readability.

[0052] According to the above embodiment of the present invention, obtaining the generated power data of the target power generation vehicle includes: after determining that the target power generation vehicle has received a power generation instruction, triggering an image acquisition component to acquire image data of the control panel of the power generation vehicle; preprocessing the image data to obtain target image data; obtaining power data displayed by a power display component on the control panel based on the target image data; and obtaining generated power data based on the power data.

[0053] In this embodiment, after the target power generation vehicle receives the power generation instruction, the image acquisition component is triggered to collect image data of the control panel of the power generation vehicle and preprocess it to obtain the power data displayed by the power display component on the control panel, thereby obtaining the power generation data. The power generation data can be monitored in real time by monitoring the power display component on the control panel of the power generation vehicle, thereby realizing the monitoring of the fuel consumption of the power generation vehicle.

[0054] It should be noted that in order to realize the remote monitoring function, the equipment needs to have remote data transmission and processing functions, that is, high-speed and stable data transmission capabilities, and provide real-time and historical data query functions through data processing technology.

[0055] Optionally, the above data processing technology may include but is not limited to: data compression, encryption, analysis and storage, etc.

[0056] Specifically, data is transmitted via 4G network communication to a mobile app or computer platform to view surveillance video data and fuel gauge data. Through data processing technology, data compression uses algorithms such as H.264 and H.265 to reduce data volume and improve transmission efficiency. The data processing end builds a server and storage system, and uses a distributed architecture and cloud computing technology to process and store data. It supports real-time app query and analysis to provide real-time and historical data query functions. After the camera captures the image, the image is compressed and encrypted through the data processing module. The processed data is transmitted to the cloud platform through the communication module. The data transmitted together also includes basic information such as device number and transmission time.

[0057] Optionally, the above encryption technology may include: Arnold transform, Logistic mapping, DCT and the like.

[0058] It should be noted that the above-mentioned H.264 and H.265 are two common video compression algorithms, also known as AVC and HEVC, both of which are used to compress video data to reduce file size and transmission bandwidth while maintaining video quality; the above-mentioned Arnold transform is a technology used for image encryption, which can effectively hide the content of the image by performing multiple iterative permutation and obfuscation operations on the image; the above-mentioned Logistic mapping is a chaotic mapping function, which is often used for pseudo-random number generation and key generation in encryption algorithms; the above-mentioned DCT (discrete cosine transform) is a commonly used signal processing technology, which is often used in JPEG compression and audio processing. In image encryption, DCT can convert the image into a frequency domain representation, thereby making the image information distribution more even and difficult to be directly identified.

[0059] In addition, it should be noted that during the data transmission process, SSL / TLS protocol is used for encrypted transmission to prevent data from being stolen or tampered with. Strict access control policies are set for devices and platforms, and login management is performed through IP addresses. Only authorized users can log in and operate. The system platform is regularly checked for security vulnerabilities and updated, and potential security risks are repaired in a timely manner, thereby achieving privacy protection and improving security.

[0060] In the above embodiment of the present invention, the oil quantity data displayed on the oil gauge on the control panel is obtained based on the target image data, including: using a fast random transformation multi-line detection algorithm to detect the target image data to identify the oil quantity gauge in the target image data; and performing oil quantity recognition on the oil quantity gauge to obtain the oil quantity data.

[0061] In this embodiment, the target image data is detected using a Fast Randomized Hough Transform (FRHT) algorithm, which can effectively identify the fuel gauge in the target image data. By identifying the fuel level of the fuel gauge, accurate fuel level data can be obtained, thereby realizing the monitoring and management of the fuel consumption of the power generation vehicle.

[0062] It should be noted that after the image is uploaded to the cloud platform, it goes through steps such as image loading, image decryption, and image enhancement, and then the fast randomized Hough transform multi-line detection algorithm (FRHT) is used to identify the fuel gauge. Its main method is to first determine the main direction of the potential line by the statistical distribution characteristics of the gradient direction of the edge points, and then eliminate the point set that has no contribution to line detection in the K grouped edge points by setting a threshold, thereby improving the sampling efficiency.

[0063] In the above embodiment of the present invention, the oil quantity data displayed on the oil gauge on the control panel is obtained according to the target image data, including: inputting the target image data into the oil quantity gauge feature recognition model, so as to process the target image data using the oil quantity gauge feature recognition model to obtain the oil quantity gauge feature information in the target image data, wherein the oil quantity gauge feature recognition model is obtained by machine learning training using multiple sets of training data, each of the multiple sets of training data includes: sample image data and sample oil quantity gauge feature information corresponding to the sample image data; and obtaining the oil quantity data according to the oil quantity gauge feature information.

[0064] In this embodiment, the target image data is processed through the fuel gauge feature recognition model, which can accurately identify the fuel gauge features and obtain the fuel gauge feature information in the target image data. Then, real-time fuel data is obtained based on this information, which can effectively improve the intelligence level of fuel consumption monitoring of power generation vehicles.

[0065] It should be noted that, according to the fast randomized Hough transform multi-line detection algorithm (FRHT), the fuel gauge feature recognition model is trained through the fuel gauge image, and the fuel amount in the image to be tested is identified according to the image to be tested.

[0066] Specifically, RHT (Randomized Hough Transform, RHT) line detection based on edge gradient direction: the direction of each line can be roughly determined by the edge gradient direction. As long as the edge gradient direction corresponding to the position of certain pixel tops on the edge is determined, the edge can be regarded as composed of edge pixels in a specific direction. The number of pixels with different gradient directions can be counted to characterize the distribution characteristics of the edge orientation of the image, thereby determining the main direction of the line. The gradient vector at the position of the image f(x, y) can be expressed as The magnitude of the gradient is expressed as The gradient direction can be expressed as The edge detection is performed by the template-based edge detection operator Sobel. The gradient value of each pixel is approximately calculated using a template with a small area. The edge gradient direction can be obtained at the same time and counted in . Its definition is This function reflects the distribution characteristics of edge orientation, that is, the distribution of edge pixels with similar gradient directions. Points from different subsets are selected to determine the straight line, and the edge pixels are divided into different subsets. Each subset is composed of pixels with similar gradient directions. This process only requires a two-dimensional accumulator to record. Since the points in a set have similar gradient directions, the selected points are likely to be collinear. When processing collinear points, the time and calculation required for voting can be reduced. Afterwards, a threshold is proposed. For example, this value can be determined based on the image size and the minimum number of pixels forming the straight line in the image. Here, it represents the minimum number of pixels in each subset, so that inappropriate pixel sets can be filtered out and pixels that do not contribute to the answer are eliminated.

[0067] According to the above embodiment of the present invention, after generating the alarm signal, the fuel consumption monitoring method of the power generation vehicle based on intelligent monitoring further includes: comparing and analyzing the current fuel consumption with the historical fuel consumption to obtain a comparison and analysis result; and determining whether there is an abnormality in the current fuel consumption based on the comparison and analysis result.

[0068] In this embodiment, the current fuel consumption is compared with the historical fuel consumption to determine whether there is any abnormality in the current fuel consumption. By analyzing the historical data, a reasonable fuel consumption baseline can be established to more accurately determine whether the current fuel consumption is within the normal range, thereby detecting abnormal situations in a timely manner.

[0069] According to the above embodiment of the present invention, the fuel consumption monitoring method of the power generation vehicle based on intelligent monitoring also includes: updating the log information of the target power generation vehicle according to the current fuel consumption and power generation data, wherein the log information is used to record the power generation related data of the target power generation vehicle.

[0070] In this embodiment, the log information can fully record the fuel consumption and power generation data of the power generation vehicle in different time periods. By continuously updating the log information, it can help the monitoring system monitor the fuel consumption of the power generation vehicle in real time, discover problems in time and take measures to adjust them, thereby improving the operating efficiency of the power generation vehicle and saving energy costs.

[0071] It should be noted that the above-mentioned log information is the report log function, which can record the operating status, alarm information, etc. of the equipment in detail, forming a complete log for query and tracing.

[0072] The technical solution provided by the above embodiments of the present invention solves the following problems: 1) Existing equipment requires staff to monitor the oil level of the generator oil gauge and the power generation data on the generator panel at all times, and cannot monitor the on-site data in real time; 2) Existing monitoring methods for generators mainly rely on manual on-site observations, lack automation and intelligent means, and are easily affected by external interference and objective factors, making it impossible to achieve all-weather monitoring, and the work efficiency is low; 3) Existing technology cannot monitor fuel consumption online in real time. Insufficient fuel can easily cause operational failures in the generator, which may affect the stability and reliability of the generator at any time, and thus affect the power supply effect; 4) Existing technology may have slow transmission speeds and insufficient stability in data transmission, making it difficult to meet the requirements of real-time data updates; 5) Existing monitoring equipment usually only has basic data monitoring and lacks intelligent functions such as trajectory playback, report analysis, and alarm analysis. In terms of data security and privacy protection, the encryption and access control measures of existing technologies may not be perfect, and there is a risk of data leakage and user privacy infringement.

[0073] It also has the following beneficial effects: 1) It reduces the burden on staff, as they no longer need to monitor the oil meter and panel data on site at all times, greatly reducing labor costs and work intensity; 2) It achieves all-weather monitoring, and can accurately read and transmit data regardless of day or night, in all weather and lighting conditions, ensuring the continuity and accuracy of monitoring; 3) Remote real-time monitoring, through 4G communication and other technologies, transmits data to the APP, so that staff can understand the operating status of the power generation vehicle anytime and anywhere, improving work flexibility and efficiency; 4) Historical data query and analysis, which helps to gain an in-depth understanding of equipment performance, discover potential problems in advance, and provide strong support for equipment maintenance and optimization; 5) Abnormal alarm function, which promptly reminds staff to deal with situations such as insufficient oil or abnormal power generation, avoid power outages or equipment damage, and ensure the stability and safety of the power generation process; 6) Rich intelligent functions, such as trajectory playback, report analysis, alarm analysis, etc., provide more comprehensive and in-depth information support for power maintenance operations; 7) Ensure data security and privacy, and adopt high-level security measures to ensure the security of sensitive data and user privacy.

[0074] As can be seen from the above, in the embodiment of the present invention, through highly sensitive sensors and image processing technology, it can work normally under various lighting and weather conditions, always accurately read the oil gauge and panel data, and has all-weather monitoring capabilities; in terms of remote data transmission and processing, it has high-speed and stable data transmission capabilities, and adopts advanced data processing technologies, including efficient data compression, encryption, analysis and storage, to achieve convenient query of real-time and historical data; when the fuel consumption of the power generation vehicle reaches the threshold, the oil level sensor is used to perform accurate alarm analysis and real-time warning to ensure the stability of power generation, and it has a fuel consumption threshold reminder function; it has rich intelligent functions, in addition to basic data monitoring, it also has report analysis, alarm analysis, report log and other functions to enhance the depth and breadth of monitoring; it has a high degree of security and privacy protection, and adopts strict data encryption, access control and other security measures when processing and transmitting sensitive data to effectively ensure data security and user privacy.

[0075] That is, the technical solution provided by the embodiments of the present invention comprehensively considers multiple factors and avoids the problems of traditional methods, such as only being able to monitor partial data or inaccurate data collection under specific conditions, slow and unstable data transmission, incomplete or timely fuel consumption threshold reminders and abnormal alarms, relatively simple functions, and relatively weak security measures. It is comprehensive and accurate in monitoring, achieving all-round, high-precision, and all-weather monitoring of fuel gauge and panel data. Remote monitoring and data processing are efficient. High-speed and stable data transmission is achieved through technologies such as 4G communication. At the same time, it has powerful data processing capabilities, including real-time analysis and historical data query. It adopts intelligent early warning and alarm mechanisms, and achieves accurate real-time warnings through sound and light alarms and fuel level sensors, ensuring stable and safe power generation. It has powerful intelligent functions, providing rich intelligent functions such as trajectory playback and report analysis, providing more comprehensive and in-depth decision support for power maintenance operations. In the context of the increasingly important data security, it has excellent data security and privacy protection capabilities, and adopts high-level encryption and access control to better ensure data security and user privacy.

[0076] It should be noted that the embodiments of the present invention have been tested and are completely feasible after sufficient testing and verification. The expected experimental results are as follows: 1) The accuracy and timeliness of monitoring data are significantly improved, and the operating status of the power generation vehicle can be reflected in real time and accurately; 2) Staff can obtain and analyze data conveniently and quickly through the APP, which effectively reduces the workload and improves work efficiency; 3) The abnormal alarm function can promptly and effectively remind staff to deal with emergencies, avoiding power outages and equipment damage caused by faults; 4) The equipment has good adaptability in various complex environments, can operate stably and provide reliable monitoring services.

[0077] In addition, it should be noted that Wireless Sensor Networks (WSN) can be used in combination with communication technology to collect and transmit data. By deploying multiple small sensor nodes at key locations on the power generation vehicle, the oil gauge and panel data are collected, and then the data is transmitted wirelessly to the gateway over a short distance using a transmission protocol. The data is then uploaded to the cloud platform or APP through the gateway for monitoring. The energy consumption is low in short-distance communication, but the transmission distance is relatively limited. Remote data transmission can be achieved with the help of satellite communication technology. Satellite communication has a wide coverage range and is not restricted by geographical conditions, but the equipment cost is high and the communication fee is relatively expensive. Bluetooth-based low-power technology can also be used, combined with a Bluetooth gateway for data aggregation and upload. Bluetooth technology has good stability and low power consumption performance within a short distance, but there are also limitations on transmission distance.

[0078] It should be noted that for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by this application.

[0079] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods of each embodiment of the present application.

[0080] According to an embodiment of the present invention, there is also provided a fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring for implementing the above-mentioned fuel consumption monitoring method for a power generation vehicle based on intelligent monitoring. Figure 3 Schematic diagram of a fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring according to an embodiment of the present invention. Figure 3 As shown, the device includes: a processing module 301, an acquisition module 303, a comparison module 305 and a generation module 307. The fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring is described below.

[0081] The processing module 301 is used to trigger the oil level sensing component to monitor the oil level of the target power generation vehicle after determining that the target power generation vehicle has received the power generation instruction, obtain the oil level monitoring result, and obtain the power generation power data of the target power generation vehicle, wherein the oil level sensing component is set at the bottom of the oil tank of the target power generation vehicle.

[0082] The acquisition module 303 is used to acquire the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result.

[0083] The comparison module 305 is configured to compare the current fuel consumption with the fuel consumption threshold to obtain a fuel consumption comparison result.

[0084] The generation module 307 is used to generate an alarm signal when it is determined based on the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal.

[0085] It should be noted here that the above-mentioned processing module 301, acquisition module 303, comparison module 305 and generation module 307 correspond to steps S202 to S208 in the above-mentioned embodiment. The four modules and the corresponding steps implement the same instances and application scenarios, but are not limited to the contents disclosed in the above-mentioned embodiment.

[0086] As can be seen from the above, in the scheme recorded in the above embodiment of the present invention, first, after determining that the target power generation vehicle has received the power generation instruction, the processing module can be used to trigger the oil level sensing component to monitor the oil level of the target power generation vehicle to obtain the oil level monitoring result and obtain the power generation data of the target power generation vehicle, wherein the oil level sensing component is set at the bottom of the fuel tank of the target power generation vehicle; then, the acquisition module can be used to obtain the current fuel consumption of the target power generation vehicle based on the oil level monitoring result; secondly, the comparison module can be used to compare the current fuel consumption with the fuel consumption threshold to obtain the fuel consumption comparison result; finally, the generation module can be used to generate an alarm signal when it is determined that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal based on the fuel consumption comparison result, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, thereby achieving the purpose of accurately reading data through highly sensitive sensors and image processing technology, using advanced data processing technology for convenient query, and using the oil level sensor for precise alarm analysis. At the same time, strict safety measures and intelligent functions are adopted, thereby achieving the technical effect of all-weather intelligent remote real-time monitoring and improving the stability and safety of power generation.

[0087] The above-mentioned technical solution provided by the embodiment of the present invention solves the technical problem that the method used in the related art to ensure the stability and safety of power generation relies on on-site staff to constantly monitor the oil level on the generator oil gauge and the power generation data on the power generation vehicle panel, which increases the burden on the staff.

[0088] In an optional embodiment, the acquisition module includes: a first trigger unit, used to determine that after the target power generation vehicle receives the power generation instruction, trigger the image acquisition component to collect image data of the control panel of the power generation vehicle; a first preprocessing unit, used to preprocess the image data to obtain target image data; a first acquisition unit, used to obtain the oil quantity data displayed on the oil gauge on the control panel based on the target image data; and a second acquisition unit, used to obtain the current fuel consumption of the target power generation vehicle based on the oil quantity monitoring result and the oil quantity data.

[0089] In an optional embodiment, the processing module includes: a second triggering unit, which is used to trigger the image acquisition component to acquire image data of the control panel of the power generation vehicle after determining that the target power generation vehicle has received the power generation instruction; a second preprocessing unit, which is used to preprocess the image data to obtain target image data; a third acquisition unit, which is used to obtain power data displayed by the power display component on the control panel based on the target image data; and a fourth acquisition unit, which is used to obtain power generation power data based on the power data.

[0090] In an optional embodiment, the first acquisition unit includes: a detection subunit, which is used to detect the target image data using a fast random transformation multi-line detection algorithm to identify the fuel level gauge in the target image data; and an identification subunit, which is used to identify the fuel level of the fuel level gauge to obtain the fuel level data.

[0091] In an optional embodiment, the first acquisition unit includes: an input subunit, used to input the target image data into a fuel gauge feature recognition model, so as to process the target image data using the fuel gauge feature recognition model to obtain fuel gauge feature information in the target image data, wherein the fuel gauge feature recognition model is obtained through machine learning training using multiple sets of training data, and each set of the multiple sets of training data includes: sample image data and sample fuel gauge feature information corresponding to the sample image data; an acquisition subunit, used to obtain fuel data based on the fuel gauge feature information.

[0092] In an optional embodiment, the fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring further includes: a comparison and analysis module for comparing and analyzing the current fuel consumption with the historical fuel consumption after generating an alarm signal to obtain a comparison and analysis result; and a determination module for determining whether there is an abnormality in the current fuel consumption based on the comparison and analysis result.

[0093] In an optional embodiment, the fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring further includes: an update module for updating the log information of the target power generation vehicle according to the current fuel consumption and power generation data, wherein the log information is used to record power generation-related data of the target power generation vehicle.

[0094] According to another aspect of an embodiment of the present invention, a processor is further provided, which is used to run a program, wherein when the program is run, any one of the above-mentioned methods for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring is executed.

[0095] According to another aspect of an embodiment of the present invention, a computer program product is provided, comprising computer instructions. When the computer instructions are executed by a processor, any one of the above-mentioned methods for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring is executed.

[0096] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided, the computer-readable storage medium including a stored program, wherein the program executes any one of the above-mentioned methods for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring.

[0097] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the communication devices in a communication device group.

[0098] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: after determining that the target power generation vehicle has received a power generation instruction, triggering the oil level sensing component to monitor the oil level of the target power generation vehicle to obtain an oil level monitoring result, and obtaining the power generation power data of the target power generation vehicle, wherein the oil level sensing component is arranged at the bottom of the oil tank of the target power generation vehicle; obtaining the current fuel consumption of the target power generation vehicle according to the oil level monitoring result; comparing the current fuel consumption with the fuel consumption threshold to obtain a fuel consumption comparison result; when it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, generating an alarm signal, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold, or the power generation data is abnormal.

[0099] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: after determining that the target power generation vehicle has received a power generation instruction, triggering the image acquisition component to acquire image data of the control panel of the power generation vehicle; preprocessing the image data to obtain target image data; obtaining the oil quantity data displayed on the oil gauge on the control panel based on the target image data; and obtaining the current fuel consumption of the target power generation vehicle based on the oil quantity monitoring results and the oil quantity data.

[0100] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: after determining that the target power generation vehicle has received a power generation instruction, triggering the image acquisition component to acquire image data of the control panel of the power generation vehicle; preprocessing the image data to obtain target image data; obtaining power data displayed by the power display component on the control panel based on the target image data; and obtaining power generation power data based on the power data.

[0101] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: detecting the target image data using a fast random transformation multi-line detection algorithm to identify the fuel gauge in the target image data; and identifying the fuel gauge to obtain fuel data.

[0102] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: inputting the target image data into a fuel gauge feature recognition model to process the target image data using the fuel gauge feature recognition model to obtain fuel gauge feature information in the target image data, wherein the fuel gauge feature recognition model is obtained through machine learning training using multiple sets of training data, and each set of the multiple sets of training data includes: sample image data and sample fuel gauge feature information corresponding to the sample image data; and obtaining fuel data based on the fuel gauge feature information.

[0103] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: comparing and analyzing the current fuel consumption with the historical fuel consumption to obtain a comparison analysis result; and determining whether there is an abnormality in the current fuel consumption based on the comparison analysis result.

[0104] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for performing the following steps: updating the log information of the target power generation vehicle based on the current fuel consumption and power generation data, wherein the log information is used to record power generation related data of the target power generation vehicle.

[0105] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0106] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0108] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0109] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0110] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0111] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring, characterized in that: include: After determining that the target power generation vehicle has received the power generation instruction, triggering the oil level sensing component to monitor the oil level of the target power generation vehicle to obtain the oil level monitoring result, and obtaining the power generation data of the target power generation vehicle, wherein the oil level sensing component is arranged at the bottom of the oil tank of the target power generation vehicle; Acquire the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result; Comparing the current fuel consumption with a fuel consumption threshold to obtain a fuel consumption comparison result; When it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, an alarm signal is generated, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold, or the power generation data is abnormal.

2. The method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to claim 1 is characterized in that: Obtaining the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result includes: After determining that the target power generation vehicle has received the power generation instruction, triggering the image acquisition component to acquire image data of the control panel of the power generation vehicle; Preprocessing the image data to obtain target image data; Obtaining the oil quantity data displayed on the oil gauge on the control panel according to the target image data; The current fuel consumption of the target power generation vehicle is obtained according to the fuel quantity monitoring result and the fuel quantity data.

3. The method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to claim 1 is characterized in that: Acquiring the power generation data of the target power generation vehicle, including: After determining that the target power generation vehicle has received the power generation instruction, triggering the image acquisition component to acquire image data of the control panel of the power generation vehicle; Preprocessing the image data to obtain target image data; Obtaining power data displayed by a power display component on the control panel according to the target image data; The generated power data is obtained according to the power data.

4. The method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to claim 2 is characterized in that: Obtaining the oil quantity data displayed on the oil gauge on the control panel according to the target image data includes: Using a fast random transformation multi-line detection algorithm to detect the target image data to identify the oil level gauge in the target image data; The oil level gauge is subjected to oil level identification to obtain the oil level data.

5. The method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to claim 2 is characterized in that: Obtaining the oil quantity data displayed on the oil gauge on the control panel according to the target image data includes: Input the target image data into a fuel gauge feature recognition model, so as to process the target image data using the fuel gauge feature recognition model to obtain fuel gauge feature information in the target image data, wherein the fuel gauge feature recognition model is obtained by machine learning training using multiple sets of training data, each of the multiple sets of training data includes: sample image data and sample fuel gauge feature information corresponding to the sample image data; The oil quantity data is obtained according to the characteristic information of the oil quantity gauge.

6. The method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to any one of claims 1 to 5, characterized in that: After the alarm signal is generated, it also includes: Comparing and analyzing the current fuel consumption with the historical fuel consumption to obtain a comparison and analysis result; Determine whether the current fuel consumption is abnormal based on the comparison and analysis result.

7. The method for monitoring fuel consumption of a power generation vehicle based on intelligent monitoring according to any one of claims 1 to 5, characterized in that: Also includes: The log information of the target power generation vehicle is updated according to the current fuel consumption and the power generation data, wherein the log information is used to record power generation related data of the target power generation vehicle.

8. A fuel consumption monitoring device for a power generation vehicle based on intelligent monitoring, characterized in that: include: A processing module, for triggering an oil level sensing component to monitor the oil level of the target power generation vehicle to obtain an oil level monitoring result and acquire power generation data of the target power generation vehicle after determining that the target power generation vehicle has received a power generation instruction, wherein the oil level sensing component is disposed at the bottom of the oil tank of the target power generation vehicle; An acquisition module, used for acquiring the current fuel consumption of the target power generation vehicle according to the fuel quantity monitoring result; A comparison module, used for comparing the current fuel consumption with a fuel consumption threshold to obtain a fuel consumption comparison result; A generation module is used to generate an alarm signal when it is determined according to the fuel consumption comparison result that the current fuel consumption reaches the fuel consumption threshold or the power generation data is abnormal, wherein the alarm signal is used to prompt that the current fuel consumption reaches the fuel consumption threshold, or the power generation data is abnormal.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein the program executes the fuel consumption monitoring method for a power generation vehicle based on intelligent monitoring as described in any one of claims 1 to 7.

10. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by the processor, the fuel consumption monitoring method for a power generation vehicle based on intelligent monitoring as described in any one of claims 1 to 7 is executed.

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