Fault visual positioning system of elevating fire fighting truck

Abstract

The invention relates to a fault visual positioning system of an elevating fire truck. The fault visual positioning system comprises a fault diagnosis subsystem and an interactive display subsystem, the fault diagnosis subsystem is used for carrying out fault diagnosis on a target vehicle and determining a fault diagnosis result of the target vehicle, and the target vehicle is any elevating fire fighting truck; the interactive display subsystem is used for displaying visual fault information of a fault part under the condition that the fault diagnosis result indicates that any part is the fault part, and the visual fault information of any fault part is used for indicating the position of the fault part in the target vehicle. According to the method and the device, the position of the fault part in the target vehicle can be intuitively indicated, so that a user or a maintainer can quickly and accurately position the fault part, the technical threshold of fault maintenance is reduced, and the fault diagnosis and maintenance efficiency of the target vehicle is improved.

Description

Technical Field

[0001] This disclosure relates to the field of fault diagnosis technology for special vehicles, and in particular to a fault visualization and location system for aerial fire trucks. Background Technology

[0002] In the existing technology, fault diagnosis for aerial ladder fire trucks usually relies on traditional methods such as manual inspection and fault light indication. The efficiency and accuracy of manual inspection methods are usually low, while the fault light indication method can usually only indicate that there is a fault in the aerial ladder fire truck, but cannot accurately locate the faulty parts and their positions in the vehicle. This limits the efficiency of fault diagnosis for aerial ladder fire trucks, resulting in low vehicle maintenance efficiency and affecting the timeliness and effectiveness of aerial ladder fire trucks in performing rescue missions. Summary of the Invention

[0003] In view of this, this disclosure proposes a technical solution for a fault visualization and location system for aerial ladder fire trucks.

[0004] According to one aspect of this disclosure, a fault visualization and location system for aerial ladder fire trucks is provided, comprising: a fault diagnosis subsystem and an interactive display subsystem; the fault diagnosis subsystem is used to perform fault diagnosis on a target vehicle and determine the fault diagnosis result of the target vehicle, wherein the target vehicle is any type of aerial ladder fire truck; the interactive display subsystem is used to display visualized fault information of any faulty component when the fault diagnosis result indicates that any component is a faulty component, wherein the visualized fault information of any faulty component is used to indicate the position of the faulty component in the target vehicle.

[0005] In one possible implementation, the fault diagnosis subsystem includes: a vehicle status monitoring module, an electrical component real-time monitoring module, and a data processing module; the vehicle status monitoring module is used to monitor the operating status of the target vehicle in real time and determine the real-time monitoring data of the operating status of the target vehicle; the electrical component real-time monitoring module is used to determine the real-time self-test data of the electrical components of the target vehicle based on the reported data of each electrical component in the target vehicle; the data processing module is used to determine the fault diagnosis result based on the real-time monitoring data of the operating status and the real-time self-test data of the electrical components.

[0006] In one possible implementation, the vehicle status monitoring module includes: a boom monitoring submodule, an outrigger monitoring submodule, a water system monitoring submodule, and a chassis monitoring submodule; the boom monitoring submodule includes: a main boom angle sensor, a folding boom angle sensor, an inner boom length detection sensor, a transmission pressure sensor, and multiple slewing angle sensors; the outrigger monitoring submodule includes: an outrigger tilt angle sensor and a transmission pressure sensor; the water system monitoring submodule includes: a water pump outlet pressure sensor, a water pump inlet pressure sensor, a water cannon spray pressure sensor, and a water tank level sensor; the chassis monitoring submodule includes: a collision avoidance radar.

[0007] In one possible implementation, the vehicle status monitoring module further includes a work bucket monitoring submodule; the work bucket monitoring submodule includes an anemometer, a work bucket weighing sensor, multiple work bucket tilt sensors, and multiple ultrasonic sensors located at different positions.

[0008] In one possible implementation, the data processing module is configured to: determine a first fault diagnosis result of the target vehicle based on the real-time monitoring data of the operating status and preset fault threshold information; determine a second fault diagnosis result of the target vehicle based on the real-time self-test data of the electrical components; and determine the fault diagnosis result based on the first fault diagnosis result and the second fault diagnosis result.

[0009] In one possible implementation, the visualized fault information of any faulty component includes: a preset fault image and coordinate information corresponding to the faulty component; the data processing module is further configured to: for any faulty component, determine the coordinate information of the faulty component based on the component identifier of the faulty component; mark and render the faulty component in the initial vehicle 3D model corresponding to the target vehicle based on the component identifier of the faulty component, and determine the fault display vehicle 3D model corresponding to the faulty component; and determine the preset fault image corresponding to the faulty component based on the fault display vehicle 3D model corresponding to the faulty component.

[0010] In one possible implementation, the preset fault image corresponding to any faulty component includes: an overall image of the faulty component's corresponding fault display vehicle 3D model, and a partial image of the faulty component within its corresponding fault display vehicle 3D model; the data processing module is further configured to: for any faulty component, determine the overall image of the faulty component's corresponding fault display vehicle 3D model; based on a preset image acquisition window, acquire images of the faulty component's corresponding fault display vehicle 3D model, and determine the partial image of the faulty component within its corresponding fault display vehicle 3D model.

[0011] In one possible implementation, the interactive display subsystem includes a storage module; the storage module is used to store a preset fault image and coordinate information corresponding to each faulty component according to the component identifier of each faulty component in the target vehicle.

[0012] In one possible implementation, the interactive display subsystem includes: an interactive display module; the interactive display module is configured to: when the fault diagnosis result indicates that any component is a faulty component, determine, based on the component identifier of the faulty component, a preset fault image and coordinate information corresponding to the faulty component in the storage module; and determine the visualized fault information of the faulty component based on the preset fault image and coordinate information corresponding to the faulty component and the fault diagnosis result.

[0013] In one possible implementation, the interactive display module is further configured to: display visual fault information of the faulty component when the fault diagnosis result indicates that only one component is a faulty component; and display visual fault information of at least one faulty component according to the component identifier indicated by the user-input interactive command when the fault diagnosis result indicates that multiple components are faulty components.

[0014] The fault visualization and location system for aerial ladder fire trucks disclosed herein includes a fault diagnosis subsystem and an interactive display subsystem. The fault diagnosis subsystem allows for fault diagnosis of any type of aerial ladder fire truck, determining the fault diagnosis results. The interactive display subsystem then displays the visualized fault information of any faulty component when the fault diagnosis results indicate a fault, intuitively indicating the component's location within the target vehicle. This facilitates quick and accurate location of the faulty component by users or maintenance personnel, lowering the technical barrier to fault repair. Users or maintenance personnel do not need to have detailed knowledge of the spatial relationships between every component in the target vehicle, thus improving the efficiency of fault diagnosis and repair and reducing the impact of component failures on the normal operation of the target vehicle.

[0015] Other features and aspects of this disclosure will become clear from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0016] The accompanying drawings, which are included in and form part of this specification, illustrate exemplary embodiments, features, and aspects of this disclosure together with the specification and serve to explain the principles of this disclosure.

[0017] Figure 1 A block diagram is shown of a fault visualization and location system for an aerial fire truck according to an embodiment of the present disclosure;

[0018] Figure 2 A schematic diagram of the structure of a fault visualization and location system for an aerial fire truck according to an embodiment of the present disclosure is shown.

[0019] Figure 3 This image shows an overall image of a three-dimensional vehicle model corresponding to a faulty component according to an embodiment of the present disclosure.

[0020] Figure 4 A partial image of a three-dimensional vehicle model showing a fault display corresponding to a faulty component according to an embodiment of the present disclosure is shown.

[0021] Figure 5 A flowchart illustrating a fault diagnosis and visual localization method according to an embodiment of the present disclosure is shown. Detailed Implementation

[0022] Various exemplary embodiments, features, and aspects of this disclosure will now be described in detail with reference to the accompanying drawings. The same reference numerals in the drawings denote elements that have the same or similar functions. Although various aspects of the embodiments are shown in the drawings, they are not necessarily drawn to scale unless specifically indicated otherwise.

[0023] As used herein, the terms “comprising,” “including,” “having,” or variations thereof are open-ended and include one or more of the stated features, integrals, elements, steps, components, or functions, but do not exclude the presence or addition of one or more other features, integrals, elements, steps, components, functions, or groups thereof.

[0024] When an element is referred to as “connected,” “coupled,” “responding,” or a variation thereof relative to another element, it may be directly connected, coupled, or responding to another element, or there may be an intermediate element present.

[0025] Although the terms first, second, third, etc., may be used herein to describe various elements / operations, these elements / operations should not be limited by these terms. These terms are only used to distinguish one element / operation from another. Therefore, without departing from the teachings of the inventive concept, a first element / operation in some embodiments may be referred to as a second element / operation in other embodiments.

[0026] The term “exemplary” as used herein means “serving as an example, embodiment, or illustration.” Any embodiment illustrated herein as “exemplary” is not necessarily to be construed as superior to or better than other embodiments.

[0027] Furthermore, to better illustrate this disclosure, numerous specific details are set forth in the following detailed description. Those skilled in the art will understand that this disclosure can be practiced without certain specific details. In some instances, methods, means, components, and circuits well known to those skilled in the art have not been described in detail in order to highlight the main points of this disclosure.

[0028] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, data stored, data displayed, etc.) and signals involved in this application are all authorized by the user or fully authorized by all parties, and the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant regions.

[0029] With the widespread application of firefighting equipment, improving the maintenance efficiency of this equipment has become increasingly important in related fields. Currently, when aerial ladder trucks malfunction, traditional methods such as manual inspection and malfunction indicator lights are relied upon.

[0030] Manual inspection requires maintenance personnel or firefighters to conduct visual inspections and functional tests on all components of aerial fire trucks one by one to identify the specific faulty components. This method of fault diagnosis is usually inefficient and inaccurate.

[0031] The fault light indicator method can usually only indicate that there is a fault in the aerial ladder fire truck, but it cannot accurately determine the specific faulty part or its location in the vehicle. It still requires manual inspection by maintenance personnel or firefighters, which limits the fault diagnosis efficiency of aerial ladder fire trucks.

[0032] Furthermore, existing technologies have proposed methods for diagnosing faults in aerial ladder trucks by reading vehicle fault indicator codes. While this method can pinpoint the specific faulty component, it demands a high level of technical expertise from maintenance personnel or firefighters, requiring consultation with relevant technical manuals or vehicle development staff, thus raising the barrier to entry for fault diagnosis and repair. Moreover, this method still cannot directly indicate the location of the faulty component within the vehicle; if maintenance personnel or firefighters lack sufficient understanding of the spatial relationships between vehicle components, manual location of the faulty component is still necessary.

[0033] In summary, existing fault diagnosis methods for aerial ladder fire trucks are limited in their efficiency because they cannot accurately locate faulty components and their positions within the vehicle. This results in low vehicle maintenance efficiency and affects the timeliness and effectiveness of aerial ladder fire trucks in performing rescue missions.

[0034] In view of this, embodiments of this disclosure provide a fault visualization and location system for aerial ladder fire trucks. This system can determine the visualized fault information of faulty components during fault diagnosis, intuitively indicating the location of the faulty component within the target vehicle. This facilitates quick and accurate location of the faulty component by users or maintenance personnel, lowers the technical threshold for fault repair, improves the efficiency of fault diagnosis and repair of the target vehicle, and reduces the impact of component failure on the normal use of the target vehicle. The fault visualization and location system for aerial ladder fire trucks of this disclosure is described in detail below.

[0035] Figure 1 A block diagram is shown of a fault visualization and location system for an aerial ladder truck according to an embodiment of the present disclosure. Figure 1 As shown, system 100 includes: fault diagnosis subsystem 101 and interactive display subsystem 102.

[0036] The fault diagnosis subsystem 101 is used to diagnose faults in the target vehicle and determine the fault diagnosis results of the target vehicle, wherein the target vehicle is any type of aerial fire truck.

[0037] The interactive display subsystem 102 is used to display the visual fault information of any component when the fault diagnosis result indicates that any component is a faulty component. The visual fault information of any component is used to indicate the location of the faulty component in the target vehicle.

[0038] Specifically, the target vehicle is any type of aerial fire truck, and its specific form can be flexibly set according to actual usage needs, such as ladder fire truck, aerial platform fire truck, aerial spray fire truck, etc. This disclosure does not make specific limitations on this.

[0039] Using the fault diagnosis subsystem 101, fault diagnosis of the target vehicle can be performed in real time to determine the fault diagnosis results and indicate whether there are faulty parts in the target vehicle. The specific content of the fault diagnosis results can be flexibly set according to actual usage needs. For example, it can include the number of faulty parts in the target vehicle, the component identification of each faulty part, the component name, and the fault type, etc. This disclosure does not impose specific limitations on this.

[0040] The structure and function of the fault diagnosis subsystem 101 will be described in detail later in conjunction with the possible implementation methods of this disclosure, and will not be repeated here.

[0041] When the fault diagnosis result indicates that any component is faulty, the interactive display subsystem 102 can display visualized fault information of the faulty component based on the fault diagnosis result, so as to intuitively indicate the location of the faulty component in the target vehicle. Compared with the fault display method in the prior art, which can only indicate the existence of a faulty component through a fault indicator light, but cannot accurately point out the location of the faulty component, the embodiments of this disclosure can improve the efficiency of maintenance personnel in locating faulty components through the interactive display subsystem 102, thereby improving the maintenance efficiency of the target vehicle. The specific content of the visualized fault information of any faulty component can be flexibly set according to actual usage needs. For example, it can include the component name, component identification, coordinate information, and fault type of the faulty component, etc., and this disclosure does not specifically limit it.

[0042] The structure and function of the interactive display subsystem 102 will be described in detail later in conjunction with the possible implementation methods of this disclosure, and will not be repeated here.

[0043] The fault visualization and location system for aerial ladder fire trucks disclosed herein includes a fault diagnosis subsystem and an interactive display subsystem. The fault diagnosis subsystem allows for fault diagnosis of any type of aerial ladder fire truck, determining the fault diagnosis results. The interactive display subsystem then displays the visualized fault information of any faulty component when the fault diagnosis results indicate a fault, intuitively indicating the component's location within the target vehicle. This facilitates quick and accurate location of the faulty component by users or maintenance personnel, lowering the technical barrier to fault repair. Users or maintenance personnel do not need to have detailed knowledge of the spatial relationships between every component in the target vehicle, thus improving the efficiency of fault diagnosis and repair and reducing the impact of component failures on the normal operation of the target vehicle.

[0044] In one possible implementation, the fault diagnosis subsystem 101 includes: a vehicle status monitoring module, an electrical component real-time monitoring module, and a data processing module; the vehicle status monitoring module is used to monitor the operating status of the target vehicle in real time and determine the real-time monitoring data of the operating status of the target vehicle; the electrical component real-time monitoring module is used to determine the real-time self-test data of the electrical components of the target vehicle based on the reported data of each electrical component in the target vehicle; the data processing module is used to determine the fault diagnosis result based on the real-time monitoring data of the operating status and the real-time self-test data of the electrical components.

[0045] Based on the above Figure 1 For example, Figure 1 As shown, the fault diagnosis subsystem 101 includes: a vehicle status monitoring module 1011, an electrical component real-time monitoring module 1012, and a data processing module 1013.

[0046] The vehicle status monitoring module 1011 can monitor the target vehicle in real time through various sensors installed on the target vehicle to understand the overall real-time working status of the target vehicle and determine the real-time monitoring data of the operating status. The real-time monitoring data of the operating status can be used to indicate the operating status of any working system of the target vehicle. Its specific content can be flexibly set according to actual usage requirements. For example, it can include the target vehicle's main boom tilt angle, folding boom angle, boom slewing angle, outrigger tilt angle, water pump outlet pressure, etc., which are not specifically limited in this disclosure.

[0047] The data type of real-time monitoring data for operational status depends on the actual type of sensor from which each data source originates. It may include analog data or digital data, and this disclosure does not specifically limit it.

[0048] In one example, to improve the convenience and efficiency of data analysis during subsequent fault diagnosis, the vehicle condition monitoring module 1011 can convert any one of the data included in the real-time monitoring data into digital data.

[0049] The electrical component real-time monitoring module 1012 can communicate with each electrical component via the target vehicle's own Controller Area Network (CAN) bus, acquire the reported data from each electrical component, and package and parse the reported data to determine the real-time self-test data of the electrical component. Here, "electrical component" refers to the electronic components or electronic devices of the target vehicle, and its specific content depends on the actual situation of the target vehicle. For example, it may include outrigger controllers, vehicle power distribution modules, vehicle data recorders, etc., and this disclosure does not specifically limit it.

[0050] By using real-time self-test data from electrical components, the real-time operating status of each electrical component in the target vehicle can be monitored, enabling real-time monitoring of the target vehicle at the electrical component level. The specific content of the real-time self-test data can be flexibly set according to actual usage needs; for example, it may include self-test alarm information for each electrical component, etc., and this disclosure does not impose specific limitations on it.

[0051] The data processing module 1013 can perform comprehensive fault diagnosis of the target vehicle from different dimensions based on real-time monitoring data of the operating status and real-time self-inspection data of electrical components, considering the overall real-time operating status of the target vehicle and the real-time operating status of each electrical component within the target vehicle, and determine the fault diagnosis result. The specific form of the data processing module 1013 can be flexibly configured according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0052] In one example, if the data processing capability of the target vehicle's own Programmable Logic Controller (PLC) meets preset conditions, the data processing module 1013 can be set to the target vehicle's own PLC. The specific content of the preset conditions can be flexibly set according to actual usage requirements; for example, it may include a minimum threshold for the running memory of the data processing module 1013, etc., and this disclosure does not specifically limit it in this regard.

[0053] Figure 2 This diagram illustrates the structure of a fault visualization and location system for an aerial ladder truck according to an embodiment of the present disclosure. Figure 2 As shown, system 200 includes a programmable logic controller 201 for the target vehicle, a vehicle status monitoring module 202, an electrical component real-time monitoring module 203, and an interactive display subsystem 204. The programmable logic controller 201 communicates with the vehicle status monitoring module 202, the electrical component real-time monitoring module 203, and the interactive display subsystem 204 via a CAN bus to receive real-time monitoring data of the operating status from the vehicle status monitoring module 202 and real-time self-test data of the electrical components from the electrical component real-time monitoring module 203, and sends the fault diagnosis results to the interactive display subsystem 204.

[0054] In one example, if the data processing capability of the target vehicle's own PLC does not meet the preset conditions, the data processing module 1013 can be set as an independent data processing device. For example, it can be set as an electronic device such as a terminal device or a server. The terminal device can be a user equipment (UE), mobile device, user terminal, terminal, cellular phone, cordless phone, personal digital assistant (PDA), handheld device, computing device, vehicle-mounted device, wearable device, etc. This disclosure does not make specific limitations in this regard.

[0055] By monitoring the target vehicle in real time at both the overall vehicle level and the electrical components level, the data processing module can be used to achieve automatic real-time fault diagnosis of the target vehicle, thereby improving the accuracy and reliability of fault diagnosis.

[0056] In one possible implementation, the vehicle status monitoring module includes: a boom monitoring submodule, an outrigger monitoring submodule, a water system monitoring submodule, and a chassis monitoring submodule; the boom monitoring submodule includes: a main boom angle sensor, a folding boom angle sensor, an inner boom length detection sensor, a transmission pressure sensor, and multiple slewing angle sensors; the outrigger monitoring submodule includes: an outrigger tilt angle sensor and a transmission pressure sensor; the water system monitoring submodule includes: a water pump outlet pressure sensor, a water pump inlet pressure sensor, a water cannon spray pressure sensor, and a water tank level sensor; the chassis monitoring submodule includes: a collision avoidance radar.

[0057] Typically, aerial ladder fire trucks mainly consist of a boom system, outrigger system, water system, and chassis system. Therefore, a vehicle status monitoring module can include boom monitoring submodules, outrigger monitoring submodules, water system monitoring submodules, and chassis monitoring submodules to perform real-time monitoring of these systems in the target vehicle, improving the comprehensiveness and reliability of real-time operational status monitoring data.

[0058] Specifically, the boom system of aerial ladder fire trucks is the core structure for enabling operations across heights and distances, typically including a main boom (telescopic boom) and a folding boom (folding boom). Therefore, the boom monitoring subsystem can include: a main boom angle sensor, a folding boom angle sensor, an inner boom length detection sensor, a transmission pressure sensor, and multiple slewing angle sensors.

[0059] The main boom angle sensor measures the angle between the main boom of the target vehicle and the horizontal plane. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The folding boom angle sensor measures the angle between the folding boom and the main boom of the target vehicle. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The inner boom length detection sensor measures the extension length of the main boom of the target vehicle. The transmission pressure sensor measures the pressure of the hydraulic transmission subsystem of the boom system. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. Multiple slewing angle sensors measure the rotation angle of the slewing platform of the boom system of the target vehicle relative to the chassis system, that is, the rotation angle of the boom system relative to the vertical axis. The specific form of any one of the slewing angle sensors can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0060] The outrigger system of an aerial ladder fire truck is a stable support structure that transfers the vehicle's weight and operational load to the ground, reducing the probability of accidents such as rollovers. Therefore, the outrigger monitoring subsystem can include: outrigger tilt sensors and transmission pressure sensors.

[0061] The outrigger tilt sensor can be used to measure the tilt angle of the target vehicle's chassis system relative to the horizontal plane, thus providing a basis for the automatic leveling of the outrigger system. Its specific form can be flexibly set according to actual usage requirements. The transmission pressure sensor can be used to measure the pressure of the hydraulic transmission subsystem of the target vehicle's outrigger system. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0062] The water system of an aerial ladder fire truck is the core structure used to deliver water or extinguishing agent, and typically includes a fire pump, a fire monitor, and a water tank. Therefore, the water system monitoring submodule can include: a pump outlet pressure sensor, a pump inlet pressure sensor, a fire monitor spray pressure sensor, and a water tank level sensor.

[0063] The water pump outlet pressure sensor can be used to measure the outlet pipe pressure of the fire pump in the target vehicle. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The water pump inlet pressure sensor can be used to measure the inlet pipe pressure of the fire pump in the target vehicle. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The water cannon spray pressure sensor can be used to measure the real-time spray pressure of the fire cannon in the target vehicle. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The water tank level sensor can be used to measure the real-time level of water or extinguishing agent stored in the water tank of the target vehicle. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0064] The chassis system serves as the load-bearing and power foundation for aerial ladder fire trucks. Its safety directly impacts the truck's mobility, load-bearing capacity, and operational stability. Therefore, the chassis monitoring submodule can include collision avoidance radar to monitor the distance, speed, and location of obstacles around the target vehicle's chassis system in real time, ensuring the chassis system's safety.

[0065] By setting up dedicated monitoring sub-modules for each major operating system of the target vehicle, the vehicle status monitoring module can comprehensively grasp the real-time operating status of the target vehicle, determine the real-time monitoring data of the target vehicle's operating status, and provide reliable external data support for fault diagnosis of the target vehicle.

[0066] In one possible implementation, the vehicle condition monitoring module further includes a work bucket monitoring submodule; the work bucket monitoring submodule includes an anemometer, a work bucket weighing sensor, multiple work bucket tilt sensors, and multiple ultrasonic sensors located at different positions.

[0067] For some aerial ladder fire trucks, such as ladder trucks and aerial platform fire trucks, in addition to the aforementioned working system, a work bucket system may also be included for carrying personnel working at height or for high-altitude rescue operations. Therefore, the vehicle status monitoring module may also include a work bucket monitoring submodule to monitor the real-time operating status of the work bucket.

[0068] Specifically, the working bucket monitoring submodule may include: an anemometer, a working bucket weighing sensor, multiple working bucket tilt sensors, and multiple ultrasonic sensors set in different locations.

[0069] The anemometer can be used to measure the real-time ambient wind speed of the target vehicle's work bucket. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The work bucket weighing sensor can be used to measure the real-time load weight of the target vehicle's work bucket. Its specific form can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0070] Multiple bucket tilt sensors can be used to measure the real-time tilt state of the bucket of a target vehicle. The specific details of the real-time tilt state can be flexibly set according to actual usage requirements. For example, it may include the pitch and roll angles of the bucket relative to the horizontal plane, and the rotation angle of the bucket relative to the boom system, etc. This disclosure does not impose specific limitations on this. The specific form of any single bucket tilt sensor can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on this. The specific number of bucket tilt sensors can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on this.

[0071] Multiple ultrasonic sensors can be used to measure the real-time distance between the work basket of a target vehicle and other objects. The placement of each ultrasonic sensor can be flexibly configured according to actual usage requirements. For example, one ultrasonic sensor can be placed on the front (facing the front of the target vehicle), rear, left, right, and bottom of the work basket; this disclosure does not impose specific limitations on this. The specific form of any ultrasonic sensor can be flexibly configured according to actual usage requirements; this disclosure does not impose specific limitations on this. The specific number of ultrasonic sensors can be flexibly configured according to actual usage requirements; this disclosure does not impose specific limitations on this.

[0072] In one possible implementation, the data processing module is used to: determine a first fault diagnosis result for the target vehicle based on real-time monitoring data of the operating status and preset fault threshold information; determine a second fault diagnosis result for the target vehicle based on real-time self-test data of electrical components; and determine a final fault diagnosis result based on the first and second fault diagnosis results.

[0073] The real-time monitoring data of the target vehicle's operating status can include the operating status data of each working system in the target vehicle. When any working system is in a fault-free state, its corresponding operating status data is usually within a predictable range of change.

[0074] Therefore, preset fault threshold information can be determined based on the operational status data of each working system in the target vehicle under fault-free conditions, in order to determine whether any working system has failed. The specific content of the preset fault threshold information can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0075] In one example, when the real-time monitoring data of the target vehicle's operating status includes: the target vehicle's boom tilt angle, the boom system's slewing angle, and the fire monitor's real-time spray pressure, the preset fault threshold information may include: the maximum and minimum thresholds for the target vehicle's boom tilt angle, the maximum and minimum thresholds for the boom system's slewing angle, and the maximum and minimum thresholds for the fire monitor's real-time spray pressure, etc.

[0076] By comparing real-time monitoring data of the operating status with preset fault threshold information, the data processing module can analyze whether the target vehicle is operating normally from the perspective of the overall real-time working status, realize fault diagnosis of the target vehicle, locate the location of the fault, and determine the first fault diagnosis result of the target vehicle. The specific content of the first fault diagnosis result can be flexibly set according to actual usage needs. For example, it may include whether any component in the target vehicle is faulty, and this disclosure does not make specific limitations in this regard.

[0077] The real-time self-test data of the electrical components of the target vehicle can reflect the real-time operating status of each electrical component. Therefore, through the real-time self-test data of the electrical components, the data processing module can directly determine whether each electrical component is operating normally, analyze the fault type, and determine the second fault diagnosis result of the target vehicle. The specific content of the second fault diagnosis result can be flexibly set according to actual usage requirements. For example, it may include whether any component in the target vehicle is faulty and its corresponding fault type, etc. This disclosure does not impose specific limitations on this.

[0078] By combining the first and second fault diagnosis results, the data processing module can conduct in-depth analysis of the correlation between the abnormal operation of the target vehicle and the abnormal operation of electrical components, thereby accurately determining the real cause of the abnormal operation of the target vehicle, locating the specific faulty component, and determining the fault diagnosis result.

[0079] In one example, when the real-time monitoring data of the target vehicle's operating status indicates that the outrigger tilt angle of the target vehicle is abnormal, the data processing module can determine that the first fault diagnosis result includes: outrigger failure of the target vehicle; and based on the real-time self-test data of the electrical components, the data processing module can determine that the second fault diagnosis result includes: abnormal operating voltage of the outrigger controller; based on this, and according to the first fault diagnosis result and the second fault diagnosis result, the fault diagnosis result can be determined to include: outrigger controller failure of the target vehicle, with the fault type being abnormal operating voltage.

[0080] In one example, when the real-time monitoring data of the target vehicle's operating status indicates the tilt angle of the target vehicle's boom, the data processing module can determine that the first fault diagnosis result includes: a boom fault of the target vehicle; and based on the real-time self-test data of the electrical components, the data processing module can determine that the second fault diagnosis result includes: the boom controller is working normally; on this basis, based on the first fault diagnosis result and the second fault diagnosis result, the fault diagnosis result can be determined to include: a rotating mechanical structure fault of the target vehicle's boom, with the fault type being abnormal rotation.

[0081] By monitoring the target vehicle in real time at both the overall vehicle level and the electrical components level, the data processing module can be used to achieve automatic real-time fault diagnosis of the target vehicle. This not only allows for more accurate location of the faulty component within the target vehicle, but also helps determine the type of fault, thereby improving the accuracy and reliability of fault diagnosis.

[0082] In one possible implementation, the visualized fault information of any faulty component includes: a preset fault image and coordinate information corresponding to the faulty component; the data processing module is further configured to: for any faulty component, determine the coordinate information of the faulty component based on the component identifier of the faulty component; mark and render the faulty component in the initial vehicle 3D model corresponding to the target vehicle based on the component identifier of the faulty component, and determine the fault display vehicle 3D model corresponding to the faulty component; and determine the preset fault image corresponding to the faulty component based on the fault display vehicle 3D model corresponding to the faulty component.

[0083] Specifically, each component in the target vehicle is equipped with a corresponding component identifier to distinguish different components. The specific form of the component identifier for any one component can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0084] For any faulty component, the data processing module can determine its coordinates within the target vehicle based on its component identifier, thus locating the faulty component through data processing. The specific content of the coordinates for any faulty component can be flexibly set according to actual usage requirements; this disclosure does not impose any specific limitations on this.

[0085] In one example, a coordinate origin can be set in the target vehicle, and a three-dimensional rectangular coordinate system can be constructed. The position coordinates of any faulty component in this three-dimensional rectangular coordinate system can be determined as the coordinate information of the faulty component.

[0086] In one example, the coordinate information of a faulty component can be determined by the position range of the working system corresponding to any faulty component in the target vehicle and the position range of the faulty component in the working system. For example, if the faulty component is a cable sensor, its corresponding coordinate information may include: the cable sensor is located at the end of the main boom of the boom system of the target vehicle, and the boom system is located at the top of the target vehicle.

[0087] While the coordinates of any faulty component can indicate its location within the target vehicle, it still requires the user or repair personnel to have a certain understanding of the target vehicle's structure, as well as the appearance and structure of the faulty component. To more intuitively indicate the location, appearance, and structure of the faulty component within the target vehicle, the data processing module can also mark and render the faulty component in the initial 3D model of the target vehicle based on its component identifier. This makes the faulty component stand out in the initial 3D model, thus determining the corresponding 3D model for displaying the fault.

[0088] The specific form of the initial 3D model of the target vehicle can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The specific method for marking and rendering any faulty component in the initial 3D model of the vehicle can be flexibly set according to actual usage requirements; for example, the color of the 3D model of the faulty component can be adjusted, and this disclosure does not impose specific limitations on it.

[0089] Based on the 3D model of the vehicle displaying the fault for any faulty component, the data processing module can determine the preset fault image corresponding to that component. This allows for a visual representation of the faulty component's location within the target vehicle, reducing the technical barriers for users or repair personnel to locate and identify faulty components, thereby improving the repair efficiency of the target vehicle. The specific method for determining the preset fault image corresponding to any faulty component based on the 3D model of the vehicle displaying the fault for that component can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0090] In one possible implementation, the preset fault image corresponding to any faulty component includes: an overall image of the faulty component's corresponding fault display vehicle 3D model, and a partial image of the faulty component within its corresponding fault display vehicle 3D model; the data processing module is further configured to: for any faulty component, determine the overall image of the faulty component's corresponding fault display vehicle 3D model; based on a preset image acquisition window, acquire images of the faulty component's corresponding fault display vehicle 3D model, and determine the partial image of the faulty component within its corresponding fault display vehicle 3D model.

[0091] For any faulty component corresponding to a 3D model of the vehicle displaying the fault, the data processing module can acquire an image of the entire 3D model of the vehicle displaying the fault, determining the overall image of the 3D model of the vehicle displaying the fault, thereby intuitively displaying the position of the faulty component in the target vehicle. The specific content of the overall image can be flexibly set according to actual usage requirements. For example, it can include images of the 3D model of the vehicle displaying the fault from multiple different viewpoints, or it can only include images from viewpoints where the faulty component can be directly observed. This disclosure does not impose specific limitations in this regard.

[0092] Figure 3 This image shows an overall picture of a three-dimensional vehicle model corresponding to a faulty component according to an embodiment of the present disclosure. For example... Figure 3 As shown, the faulty component is a cable sensor, which is marked in red in the 3D model of the vehicle displaying the fault, distinguishing it from other gray structures. By examining the overall image of the 3D model of the vehicle displaying the fault corresponding to the cable sensor, it can be visually determined that the cable sensor is located at the upper end of the main boom of the target vehicle's boom system.

[0093] Furthermore, in order to more precisely indicate the relative positional relationship between any faulty component and other structures of the target vehicle, the connection method between the faulty component and at least one adjacent structure, and the appearance and structural details of the faulty component, the preset fault image of the faulty component may also include: a partial image of the faulty component in its corresponding fault display vehicle 3D model.

[0094] Specifically, the data processing module can acquire images of the faulty component from the corresponding 3D model of the vehicle displaying the fault, based on a preset image acquisition window, thereby obtaining a local image of the faulty component within that model. The specific shape and size of the preset image acquisition window can be flexibly set according to actual usage requirements, and this disclosure does not impose specific limitations on it. The specific content of the local image can also be flexibly set according to actual usage requirements; for example, it may include local images of the faulty component from different viewing angles, or it may only include local images of the faulty component from a preset main viewing angle, etc., and this disclosure does not impose specific limitations on it.

[0095] Figure 4 A partial image of a three-dimensional vehicle model showing a fault display corresponding to a faulty component according to an embodiment of the present disclosure is shown. Figure 4 As shown, the faulty component is a cable sensor, which is marked in red in the 3D model of the vehicle displaying the fault, distinguishing it from other gray structures. Through a partial image of the 3D model of the vehicle displaying the fault corresponding to the cable sensor, it can be visually determined that the main structure of the cable sensor is rectangular, with two cylindrical additional structures, and it is fixed to the main boom of the target vehicle.

[0096] By using the overall image of the 3D model of the vehicle corresponding to any faulty component, as well as a partial image of the faulty component within that model, the location of the faulty component in the target vehicle can be more comprehensively indicated from two different viewpoints. This facilitates the user or maintenance personnel in locating the faulty component from a distance. Furthermore, the partial image of the faulty component within its corresponding 3D model also provides information such as the component's appearance and structural details, its relative positional relationship with other structures of the target vehicle, and its connection relationships, offering more usable information for the repair of the target vehicle.

[0097] In one possible implementation, the interactive display subsystem 102 includes a storage module; the storage module is used to store a preset fault image and coordinate information corresponding to each faulty component according to the component identifier of each faulty component in the target vehicle.

[0098] Before fault diagnosis, the data processing module can pre-render preset fault images corresponding to all components and send them to the storage module of the interactive display subsystem 102. The storage module can store the preset fault image and coordinate information corresponding to each faulty component based on its component identifier in the target vehicle. This allows for direct retrieval of the preset fault image and coordinate information corresponding to any faulty component from the storage module if the fault diagnosis result indicates that any component is faulty. This eliminates the need for temporary marking, rendering, and image acquisition of the initial 3D model of the vehicle during fault diagnosis, thereby improving the timeliness of displaying visualized fault information and reducing the performance requirements of the data processing module and interactive display subsystem 10 for fault diagnosis and visualization, thus lowering the overall cost of system 100. The specific form of the storage module can be flexibly configured according to actual usage requirements, and this disclosure does not impose specific limitations on it.

[0099] In one possible implementation, the interactive display subsystem 102 includes: an interactive display module; the interactive display module is configured to: when the fault diagnosis result indicates that any component is a faulty component, determine, in the storage module, a preset fault image and coordinate information corresponding to the faulty component based on the component identifier of the faulty component; and determine the visualized fault information of the faulty component based on the preset fault image and coordinate information corresponding to the faulty component and the fault diagnosis result.

[0100] When the fault diagnosis result indicates that any component is faulty, the interactive display module, based on the component identifier of the faulty component, reads the corresponding preset fault image and coordinate information from the storage module, and, in conjunction with the fault diagnosis result, determines and displays the visualized fault information of the faulty component. The specific form of the interactive display module can be flexibly set according to actual usage requirements; for example, it can be a touch screen, etc., and this disclosure does not impose specific limitations on it.

[0101] In one possible implementation, the interactive display module is further configured to: display visual fault information of the faulty component when the fault diagnosis result indicates that only one component is a faulty component; and display visual fault information of at least one faulty component according to the component identifier indicated by the user-input interactive command when the fault diagnosis result indicates that multiple components are faulty components.

[0102] Considering that the target vehicle may have multiple faulty parts at the same time, the interactive display module can selectively display visual fault information of different faulty parts based on the number of faulty parts indicated by the fault diagnosis results.

[0103] Specifically, when the fault diagnosis result indicates that only one component is faulty, the interactive display module can directly display the visual fault information of that component. When the fault diagnosis result indicates that multiple components are faulty, the interactive display module can receive user-inputted interactive commands and then display the visual fault information of at least one faulty component based on the component identifier indicated by the interactive command.

[0104] The specific form of the interactive commands input by the user can be flexibly set according to actual usage needs, depending on the specific form of the interactive display module, and this disclosure does not impose any specific limitations on it.

[0105] In one example, when the interactive display module is a touch screen and the fault diagnosis results indicate that multiple components are faulty, for any one faulty component, the touch screen can determine the corresponding visual fault information as the component name, component number, coordinate information, the overall image of the corresponding faulty vehicle 3D model, and a partial image of the faulty component within its corresponding faulty vehicle 3D model. This visual fault information for different faulty components is then displayed in different pop-up windows. User-inputted interactive commands can include swiping commands on the pop-up windows or clicking commands on the page numbers of the pop-up windows. The touch screen can display the corresponding visual fault information for the faulty component based on the user's input swiping or clicking commands.

[0106] Figure 5 A flowchart illustrating a fault diagnosis and visual localization method according to an embodiment of this disclosure is shown. Figure 5 As shown, when a target vehicle malfunctions, the fault diagnosis subsystem performs fault diagnosis based on real-time monitoring data of the vehicle's operating status and real-time self-test data of electrical components. If the fault diagnosis subsystem determines the fault diagnosis result, the interactive display subsystem reads the preset fault image and coordinate information corresponding to the faulty component from the storage module, and then displays the visualized fault information of the faulty component in conjunction with user-input interactive commands. If the fault diagnosis subsystem cannot determine the fault diagnosis result, it re-collects real-time monitoring data of the operating status and real-time self-test data of electrical components, and performs fault diagnosis again until a fault diagnosis result is determined.

[0107] The fault visualization and location system for aerial ladder fire trucks disclosed herein includes a fault diagnosis subsystem and an interactive display subsystem. The fault diagnosis subsystem allows for fault diagnosis of any type of aerial ladder fire truck, determining the fault diagnosis results. The interactive display subsystem then displays the visualized fault information of any faulty component when the fault diagnosis results indicate a fault, intuitively indicating the component's location within the target vehicle. This facilitates quick and accurate location of the faulty component by users or maintenance personnel, lowering the technical barrier to fault repair. Users or maintenance personnel do not need to have detailed knowledge of the spatial relationships between every component in the target vehicle, thus improving the efficiency of fault diagnosis and repair and reducing the impact of component failures on the normal operation of the target vehicle.

[0108] It should be noted that, although... Figure 1 and Figure 2 The above example illustrates a fault visualization and location system for aerial ladder trucks; however, those skilled in the art will understand that this disclosure is not limited thereto. In fact, users can flexibly configure the specific structural composition of the fault visualization and location system for aerial ladder trucks according to their personal preferences and / or actual application scenarios. As long as the visualized fault information of the faulty component can be used to intuitively indicate the location of the faulty component in the target vehicle, it will be convenient for users or maintenance personnel to quickly and accurately locate the faulty component, thereby reducing the technical threshold for fault repair.

[0109] The various embodiments of this disclosure have been described above. These descriptions are exemplary and not exhaustive, nor are they limited to the disclosed embodiments. Many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principles, practical application, or technical improvements to the embodiments in the market, or to enable others skilled in the art to understand the embodiments disclosed herein.

Claims

1. A fault visualization and location system for aerial ladder fire trucks, characterized in that, The system includes: a fault diagnosis subsystem and an interactive display subsystem; The fault diagnosis subsystem is used to diagnose faults in the target vehicle and determine the fault diagnosis result of the target vehicle, wherein the target vehicle is any type of aerial fire truck. The interactive display subsystem is used to display visual fault information of any component when the fault diagnosis result indicates that any component is a faulty component, wherein the visual fault information of any component is used to indicate the location of the faulty component in the target vehicle.

2. The system according to claim 1, characterized in that, The fault diagnosis subsystem includes: a vehicle status monitoring module, an electrical component real-time monitoring module, and a data processing module; The vehicle status monitoring module is used to monitor the operating status of the target vehicle in real time and determine the real-time monitoring data of the operating status of the target vehicle. The electrical component real-time monitoring module is used to determine the real-time self-inspection data of the electrical components of the target vehicle based on the reported data of each electrical component in the target vehicle. The data processing module is used to determine the fault diagnosis result based on the real-time monitoring data of the operating status and the real-time self-test data of the electrical components.

3. The system according to claim 2, characterized in that, The vehicle status monitoring module includes: a boom monitoring submodule, an outrigger monitoring submodule, a waterway monitoring submodule, and a chassis monitoring submodule; The boom monitoring submodule includes: a main boom angle sensor, a folding boom angle sensor, an inner boom length detection sensor, a transmission pressure sensor, and multiple rotation angle sensors; The outrigger monitoring submodule includes: an outrigger tilt sensor and a transmission pressure sensor; The water circuit monitoring submodule includes: a water pump outlet pressure sensor, a water pump inlet pressure sensor, a water cannon spray pressure sensor, and a water tank level sensor; The chassis monitoring submodule includes: anti-collision radar.

4. The system according to claim 3, characterized in that, The vehicle status monitoring module also includes a work bucket monitoring submodule; the work bucket monitoring submodule includes an anemometer, a work bucket weighing sensor, multiple work bucket tilt sensors, and multiple ultrasonic sensors set in different locations.

5. The system according to any one of claims 2 to 4, characterized in that, The data processing module is used for: Based on the real-time monitoring data of the operating status and the preset fault threshold information, the first fault diagnosis result of the target vehicle is determined; Based on the real-time self-test data of the electrical components, the second fault diagnosis result of the target vehicle is determined; The fault diagnosis result is determined based on the first fault diagnosis result and the second fault diagnosis result.

6. The system according to any one of claims 2 to 4, characterized in that, The visualized fault information for any faulty component includes: the preset fault image and coordinate information corresponding to the faulty component; The data processing module is also used for: For any faulty component, determine its coordinate information based on its component identifier. Based on the component identifier of the faulty component, the faulty component is marked and rendered in the initial vehicle 3D model corresponding to the target vehicle to determine the fault display vehicle 3D model corresponding to the faulty component. Based on the 3D model of the vehicle corresponding to the faulty component, determine the preset fault image corresponding to the faulty component.

7. The system according to claim 6, characterized in that, The preset fault image corresponding to any faulty component includes: the overall image of the faulty component in the corresponding fault display vehicle 3D model, and the partial image of the faulty component in its corresponding fault display vehicle 3D model; The data processing module is also used for: For any faulty component, determine the overall image of the 3D model of the vehicle corresponding to the faulty component; Based on a preset image acquisition window, images of the faulty component are acquired from the corresponding 3D model of the vehicle displaying the fault, and a local image of the faulty component is determined in the corresponding 3D model of the vehicle displaying the fault.

8. The system according to any one of claims 6, characterized in that, The interactive display subsystem includes: a storage module; The storage module is used for: Based on the component identifier of each faulty component in the target vehicle, a preset fault image and coordinate information corresponding to each faulty component are stored.

9. The system according to claim 8, characterized in that, The interactive display subsystem includes: an interactive display module; The interactive display module is used for: If the fault diagnosis result indicates that any component is a faulty component, the preset fault image and coordinate information corresponding to the faulty component are determined in the storage module according to the component identifier of the faulty component. Based on the preset fault image and coordinate information corresponding to the faulty component, as well as the fault diagnosis results, the visualized fault information of the faulty component is determined.

10. The system according to claim 9, characterized in that, The interactive display module is also used for: If the fault diagnosis result indicates that only one component is faulty, display the visual fault information of that faulty component. If the fault diagnosis result indicates that multiple components are faulty, at least one faulty component's visual fault information will be displayed according to the component identifier indicated by the user's input interaction command.

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