Intelligent water level display system and method for sweeper trucks

Abstract

This invention provides an intelligent water level display system and method for sweeper trucks, relating to the field of water level display technology. The system comprises a data acquisition layer for real-time acquisition of multi-dimensional physical signals related to sweeper truck operations; a control processing layer for receiving and processing these physical signals to determine water level, volume, operable time and mileage, and tipping risk, and to generate control commands and warning signals; a human-machine interaction layer for visually displaying processed data and warning status, and receiving user commands; and a map positioning module for providing real-time vehicle location, route planning, and geographic anchor point recording. The data acquisition layer, control processing layer, human-machine interaction layer, and map positioning module work collaboratively to intelligently monitor the sweeper truck's water tank level, plan operations, and provide safety warnings. This method achieves accurate display of water level and capacity, scientific planning of operating time and mileage, multiple safety warnings, and data-driven operational optimization.

Description

Technical Field

[0001] This invention relates to the field of water level display technology, and in particular to an intelligent water level display system and method for sweeper trucks. Background Technology

[0002] Sweeper trucks are specialized vehicles used for urban street cleaning. They use a water pump to spray water from a clean water tank to wash the road surface, and then use brushes and suction nozzles to collect garbage. Currently, conventional sweeper trucks only have a low water level alarm function, which alerts the water pump to stop working when the water level is too low, but the driver cannot accurately know the remaining water volume. Although the external level gauge can display the water level, it has a large error when driving on irregular water tanks or slopes, and cannot accurately display the remaining water capacity and the remaining working mileage. In the field of unmanned sweeper trucks, the inability to accurately predict the working capacity makes it difficult to achieve scientific route planning and efficient operation, which has become a technical pain point that the industry urgently needs to solve. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide an intelligent water level display system and method for sweeper trucks, which can realize accurate display of water level and water capacity, scientific planning of operation time and mileage, multiple safety warnings and data-driven operation optimization.

[0004] In a first aspect, embodiments of the present invention provide an intelligent water level display system for a sweeper truck. The system includes: a data acquisition layer, a control processing layer, a human-machine interaction layer, and a map positioning module. The data acquisition layer is used to collect multi-dimensional physical signals related to the sweeper truck's operation in real time. The control processing layer is communicatively connected to the data acquisition layer and is used to receive and process physical signals to determine water level, volume, operable time and mileage, and tipping risk, and to generate control commands and warning signals. The human-machine interaction layer is communicatively connected to the control processing layer and is used to visually display the processed data information and warning status, and to receive user commands. The map positioning module is communicatively connected to the control processing layer and is used to provide real-time vehicle location, path planning, and geographic anchor point recording functions. The data acquisition layer, control processing layer, human-machine interaction layer, and map positioning module work together to intelligently monitor the water level in the sweeper truck's water tank, plan operations, and provide safety warnings.

[0005] In a preferred embodiment of the present invention, the data acquisition layer includes: a water level sensing unit, a vehicle posture sensing unit, an operation status sensing unit, and a power monitoring unit; the water level sensing unit includes: an ultrasonic water level sensor installed on the top of the water tank and a low water level sensor installed on the bottom of the water tank, for detecting the liquid level height and low water level status in the water tank; the vehicle posture sensing unit is a four-way sensor installed on the bottom of the water tank, for detecting the forward and backward tilt angle and the left and right tilt angle of the vehicle during driving and operation; the operation status sensing unit includes: a water pump speed sensor for detecting the water pump speed and a chassis speed signal sensor for detecting the vehicle speed; the power monitoring unit is used to collect the vehicle's power signal; the output terminals of the water level sensing unit, the vehicle posture sensing unit, the operation status sensing unit, and the power monitoring unit are all connected to the control processing layer.

[0006] In a preferred embodiment of the present invention, the control processing layer includes a central control controller configured to perform the following processing steps: receiving a distance signal from an ultrasonic water level sensor, and determining the real-time water level percentage by combining it with pre-stored total water tank height data; combining vehicle tilt angle data from four-way sensors, calling a pre-stored three-dimensional mapping relationship model of water tank volume-water level-tilt angle, performing slope compensation on the real-time water level percentage, and determining the actual remaining water volume under the current posture through an interpolation algorithm; receiving a signal from a water pump speed sensor, and determining the remaining working time based on a pre-calibrated water consumption per unit speed and the actual remaining water volume; receiving a signal from the chassis speed sensor. The system uses signals from signal sensors, combined with remaining workable time, to determine the estimated remaining workable mileage. It overlays and analyzes real-time location information from the map positioning module with the remaining workable mileage, dynamically displaying the estimated workable range and work endpoint anchor point on the map. Based on real-time water level percentage and low water level sensor signals, it determines whether to trigger a water level warning and generates corresponding display and voice control commands. Based on real-time water level percentage, actual remaining water volume, and vehicle tilt angle data, combined with pre-stored vehicle center of gravity height and tilt threshold models at different water levels, it determines the real-time tilt risk coefficient. When the real-time tilt risk coefficient exceeds the pre-set risk coefficient threshold, a rollover warning command is generated.

[0007] In a preferred embodiment of the present invention, the control processing layer further includes a data fusion and communication module, which is used to: synchronize and filter the signals collected by the ultrasonic water level sensor, the four-way sensor, the water pump speed sensor, and the chassis speed signal sensor; exchange data through the CAN bus, the vehicle chassis control system, and the human-machine interface layer; wherein, the data exchanged with the vehicle chassis control system includes: vehicle speed signal and vehicle status signal read from the chassis, as well as water pump start / stop command and vehicle speed limit command sent to the chassis; the data exchanged with the human-machine interface layer includes: real-time water level, remaining volume, working time, working mileage, rollover risk coefficient, and warning status data sent to the display screen, as well as user operation commands received from the display screen; and package the time-synchronized and filtered sensor data, as well as the process data, warning records, and anchor point information calculated by the central control controller, and upload them to the remote backend server.

[0008] In a preferred embodiment of the present invention, the aforementioned human-machine interaction layer includes: a display screen and a voice prompt unit; the display screen is used to dynamically display the remaining water level percentage, remaining water volume, real-time vehicle tilt angle (front / back / left / right), remaining working time, remaining working mileage, water pump speed, vehicle speed, battery level, warning status icon, and map working range; the voice prompt unit is connected to the control processing layer and is used to play pre-recorded voice alarm information when a warning command is received; the display logic of the display screen is as follows: when the water level is lower than a first threshold, the color of the water level display area changes from green to yellow; when the water level is lower than a lower second threshold or when the low water level sensor is triggered, the color of the water level display area changes to red, and at the same time, a text alarm message pops up in the screen status bar, triggering the voice prompt unit to broadcast, and the control processing layer sends a pump stop command to the water pump controller via the CAN bus.

[0009] In a preferred embodiment of the present invention, the map positioning module is a Beidou / GPS dual-mode positioning unit. The interaction between the map positioning module and the control processing layer includes: providing real-time latitude and longitude coordinates and vehicle speed information to the control processing layer; receiving the estimated work endpoint coordinates sent by the control processing layer and marking them on the map to form water refill demand anchor points; receiving the coordinates when the side tilt warning is triggered sent by the control processing layer and marking dangerous road section anchor points on the map; and in the unmanned sweeper mode, receiving the work path sent by the remote backend and sending the information of water refill demand anchor points and dangerous road section anchor points back to the backend for dynamic path replanning.

[0010] In a preferred embodiment of the present invention, the system further includes safety linkage control logic, specifically: when the control processing layer simultaneously receives a low water level sensor trigger signal and an ultra-low water level signal calculated by the ultrasonic water level sensor, it executes the highest level alarm: continuous voice alarm, red flashing display on the screen, and forcibly stops the water pump operation; when the real-time roll risk coefficient determined by the control processing layer exceeds the risk coefficient threshold, it immediately issues a voice warning through the voice prompt unit, and at the same time, the control processing layer sends an auxiliary safety signal to the vehicle chassis control system to limit the vehicle speed or request suspension adjustment; when the system self-test detects that the ultrasonic water level sensor continuously generates abnormal data while the low water level sensor is not triggered, it automatically switches to the backup estimation mode, estimates the remaining water volume based on the water pump's cumulative working time and calibrated water consumption, and triggers a sensor fault alarm.

[0011] In a preferred embodiment of the present invention, the system is configured with a data recording and analysis backend. The data recording and analysis backend operates by: receiving and storing a vehicle operation process data packet uploaded by the control processing layer. The vehicle operation process data packet includes at least: timestamp, location, water level, volume, gradient, water pump speed, vehicle speed, power consumption, and warning events; based on historical data, using machine learning algorithms to analyze the average water consumption per unit mileage under different road sections and different operation modes, and establishing a personalized operation energy consumption model; based on the energy consumption model and map information, providing an efficiency optimization report for a single vehicle or fleet, including recommended water filling point locations and optimal operation routes; and statistically analyzing the occurrence location and frequency of side tilt warning events to generate a safety hotspot map for safety assessment and optimization of operation routes.

[0012] In a preferred embodiment of the present invention, the data acquisition layer, control processing layer, human-machine interaction layer and map positioning module are connected via a vehicle CAN bus network and / or a dedicated wiring harness; the central control controller of the control processing layer is an embedded industrial computer or a high-performance vehicle ECU; the display screen is a touch LCD screen; the system interacts with the water pump controller and chassis controller of the sweeper truck via the CAN bus to realize operation start / stop and safety linkage control.

[0013] Secondly, embodiments of the present invention also provide a method for intelligent water level display of a sweeper truck, applied to the intelligent water level display system of the sweeper truck mentioned in the first aspect. The intelligent water level display system of the sweeper truck includes: a data acquisition layer, a control processing layer, a human-machine interaction layer, and a map positioning module; the method includes: powering on and initializing the intelligent water level display system of the sweeper truck; performing self-tests on the sensors included in the data acquisition layer; loading pre-calibrated data into the central control controller; the data includes at least the total height of the water tank, a three-dimensional mapping relationship model of water tank volume-water level-tilt angle, water consumption per unit speed, and a model of vehicle center of gravity height and tilt threshold at different water levels; during the driving and operation of the sweeper truck, the data acquisition layer continuously acquires signals, and the control processing layer performs real-time water level calculation, volume calculation after slope compensation, estimation of remaining working time and mileage, and real-time tilt risk assessment; the human-machine interaction layer... The layer updates and displays information in real time. When the real-time location provided by the map positioning module enters the estimated work endpoint range or the control processing layer triggers a water level warning, the human-machine interaction layer executes an audio-visual warning process. The audio-visual warning process includes at least: color change of the corresponding area on the display screen, text alarm pop-up in the status bar, and voice prompt unit broadcasting the warning information. In the case of autonomous driving mode, the remote backend server receives the warning signal and anchor point information, calls the path planning algorithm to recalculate the optimal path to the nearest water station, and instructs the vehicle to automatically drive to the water station. After water is added, the vehicle automatically starts from the nearest water station and continues to execute the unfinished work tasks or receives the updated work instructions issued by the remote backend server. After the work is completed, the control processing layer packages the data for this period and uploads it to the remote backend server. The remote backend server generates a data report and analysis suggestions for this work.

[0014] The embodiments of the present invention bring the following beneficial effects: This invention provides an intelligent water level display system and method for a sweeper truck. A data acquisition layer collects multi-dimensional physical signals related to the sweeper truck's operation in real time. A control processing layer, communicatively connected to the data acquisition layer, receives and processes these physical signals to determine water level, volume, operable time and mileage, and tipping risk, generating control commands and warning signals. A human-machine interaction layer, also communicatively connected to the control processing layer, visualizes the processed data and warning status, and receives user commands. A map positioning module, also communicatively connected to the control processing layer, provides real-time vehicle location, route planning, and geographic anchor point recording. The data acquisition layer, control processing layer, human-machine interaction layer, and map positioning module work collaboratively to intelligently monitor the sweeper truck's water tank level, plan operations, and provide safety warnings. This method achieves accurate display of water level and capacity, scientific planning of operating time and mileage, multiple safety warnings, and data-driven operational optimization.

[0015] Other features and advantages of this disclosure will be set forth in the following description, or some features and advantages may be inferred from the description or determined without doubt, or may be learned by practicing the techniques described above.

[0016] To make the above-mentioned objects, features and advantages of this disclosure more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0017] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0018] Figure 1 This is a structural diagram of an intelligent water level display system for a sweeper truck provided in an embodiment of the present invention; Figure 2 This is a structural diagram of another intelligent water level display system for a sweeper truck provided in an embodiment of the present invention; Figure 3 A flowchart illustrating an intelligent water level display method for a sweeper truck provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of an intelligent water level display device for a sweeper truck provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] A sweeper truck is a special-purpose vehicle for cleaning urban roads. It mainly works by using a water pump to flush the road surface with water from the clean water tank, while sweeping brushes clean the road surface simultaneously. A suction cup collects the garbage in the middle of the road surface from the flushing and sweeping, and the suction generated by the negative pressure of the blower collects the garbage into the wastewater tank, thus completing the cleaning and maintenance of the road surface.

[0021] During vehicle operation, various road conditions are encountered. Sometimes, the planned route is not completed before all the clean water is used up, and the distance to refill is long, increasing the operator's working time. Another issue is that after each operation, a large amount of water remains in the clean water tank, resulting in water waste. Currently, conventional sweeper truck drivers cannot accurately display the water level. Conventional sweeper trucks typically only display a low water level alarm, prompting the water pump to stop working only when the water level is low; drivers cannot accurately judge the remaining water level. Conventional external level gauges only display the water level height, which has a large error margin for irregular water tanks and when driving on slopes, failing to accurately display the remaining water capacity and remaining operating distance plus time. In the field of unmanned sweeper trucks, precise route planning and operation are impossible, which is a major pain point in the industry. How to efficiently and accurately plan routes and ensure the precise operation of sweeper trucks is a problem that customers need to solve.

[0022] Based on this, the present invention provides an intelligent water level display system and method for a sweeper truck. A data acquisition layer collects multi-dimensional physical signals related to the sweeper truck's operation in real time. A control processing layer, communicatively connected to the data acquisition layer, receives and processes these physical signals to determine water level, volume, operable time and mileage, and tipping risk, and generates control commands and warning signals. A human-machine interaction layer, also communicatively connected to the control processing layer, visualizes the processed data information and warning status, and receives user commands. A map positioning module, also communicatively connected to the control processing layer, provides real-time vehicle location, route planning, and geographic anchor point recording functions. The data acquisition layer, control processing layer, human-machine interaction layer, and map positioning module work collaboratively to intelligently monitor the sweeper truck's water tank level, plan operations, and provide safety warnings. This method achieves accurate display of water level and capacity, scientific planning of operating time and mileage, multiple safety warnings, and data-driven operational optimization.

[0023] To facilitate understanding of this embodiment, a detailed description of the intelligent water level display system for a sweeper truck disclosed in this embodiment of the invention will be provided first.

[0024] Example 1 This invention provides an intelligent water level display system for sweeper trucks. Figure 1 This is a structural diagram of an intelligent water level display system for a sweeper truck provided in an embodiment of the present invention. Figure 1 As shown, the intelligent water level display system for the sweeper truck can include the following structure: a data acquisition layer, a control processing layer, a human-machine interaction layer, and a map positioning module.

[0025] The data acquisition layer is used to collect multi-dimensional physical signals related to the operation of the sweeper truck in real time.

[0026] The data acquisition layer is the front-end sensing part of the system, responsible for collecting various physical signals related to water level monitoring and operation planning during the operation of the sweeper truck.

[0027] The control processing layer is connected to the data acquisition layer to receive and process physical signals to determine water level, volume, operable time and mileage, and capsizing risk, and to generate control commands and early warning signals.

[0028] The control processing layer is the core computing and control part of the system. It communicates with the data acquisition layer, receives raw signals, performs calculations, judgments, and decisions, and generates control commands and early warning signals.

[0029] The human-computer interaction layer is connected to the control processing layer to visualize the processed data information and warning status, and to receive user commands.

[0030] The human-machine interaction layer is the interface between the system and the user (driver or unmanned backend). It is responsible for presenting the processed information in a visual way and receiving the user's operation instructions.

[0031] The map positioning module is connected to the control processing layer to provide real-time vehicle location, route planning, and geographic anchor point recording functions.

[0032] Among them, the map positioning module provides geographic location-related functions, communicates with Beidou / GPS satellites to obtain real-time location, and interacts with the control processing layer to realize path planning and geographic anchor point recording.

[0033] The data acquisition layer, control processing layer, human-computer interaction layer, and map positioning module work together to intelligently monitor the water level in the sweeper truck's water tank, plan operations, and provide safety warnings.

[0034] From the data acquisition layer to the control processing layer, raw signals such as water level, attitude, rotation speed, vehicle speed, and power are transmitted via CAN bus or dedicated wiring harness.

[0035] From the control and processing layer to the human-computer interaction layer, processed data such as water level, volume, time, mileage, risk coefficient, and early warning status are sent for display.

[0036] The system involves two-way interaction between the control processing layer and the map positioning module: the control processing layer obtains the real-time location, and the map positioning module receives the coordinates of the work endpoint and the early warning anchor points for marking.

[0037] In practical applications, the data acquisition layer continuously senses the vehicle status, the control processing layer performs real-time calculations and decisions, the human-machine interaction layer presents information to the user and receives instructions, and the map positioning module provides spatial location support. The four work together to achieve accurate monitoring of water levels, scientific planning of operations, and proactive early warning of overturning risks.

[0038] The intelligent water level display system for sweeper trucks provided in this invention comprises a data acquisition layer that collects multi-dimensional physical signals related to sweeper truck operations in real time; a control processing layer that communicates with the data acquisition layer receives and processes these physical signals to determine water level, volume, operable time and mileage, and tipping risk, and generates control commands and warning signals; a human-machine interaction layer that communicates with the control processing layer to visualize the processed data information and warning status, and receive user commands; and a map positioning module that communicates with the control processing layer to provide real-time vehicle location, route planning, and geographic anchor point recording functions. The data acquisition layer, control processing layer, human-machine interaction layer, and map positioning module work collaboratively to intelligently monitor the water level in the sweeper truck's water tank, plan operations, and provide safety warnings. This approach achieves accurate display of water level and capacity, scientific planning of operating time and mileage, multiple safety warnings, and data-driven operational optimization.

[0039] Example 2 This invention also provides another intelligent water level display system for sweeper trucks; this system is implemented based on the system described in the above embodiments.

[0040] Figure 2 A structural diagram of another intelligent water level display system for a sweeper truck provided in an embodiment of the present invention is shown below. Figure 2 As shown: The data acquisition layer includes: a water level sensing unit, a vehicle attitude sensing unit, an operational status sensing unit, and a power monitoring unit.

[0041] The water level sensing unit includes an ultrasonic water level sensor installed on the top of the water tank and a low water level sensor installed on the bottom of the water tank, used to detect the liquid level height and low water level status in the water tank.

[0042] For example, the water level sensing unit consists of two sensors: (1) an ultrasonic water level sensor installed on the top of the water tank, which uses the principle of ultrasonic reflection to measure the distance between the liquid surface and the top and calculate the water level height; and (2) a low water level sensor installed at the bottom of the water tank, which is a contact or float switch sensor used for redundant protection when the water level is too low. The two form a dual detection mechanism and serve as backups for each other.

[0043] The vehicle attitude sensing unit is a four-way sensor installed at the bottom of the water tank, used to detect the forward and backward tilt angles and left and right tilt angles of the vehicle during driving and operation.

[0044] For example, the vehicle attitude sensing unit uses a four-way sensor (i.e., a dual-axis tilt sensor) installed at the center of the bottom of the water tank, which can simultaneously detect the vehicle's pitch angle (slope) and roll angle. This installation position is chosen so that the detected values ​​can better reflect the actual tilt state of the water level in the water tank, rather than local deformation of the vehicle body.

[0045] The operation status sensing unit includes a water pump speed sensor for detecting the water pump speed and a chassis speed signal sensor for detecting the vehicle speed.

[0046] For example, the operating status sensing unit includes a water pump speed sensor (installed on the water pump shaft, which can be Hall effect or magnetoelectric type, to detect the water pump impeller speed) and a chassis speed signal sensor (usually read from the vehicle CAN bus ABS wheel speed signal or transmission output shaft speed signal to reflect the vehicle speed).

[0047] The power monitoring unit is used to collect the vehicle's power signal.

[0048] For example, the power monitoring unit collects the power signal of the vehicle's power battery or storage battery to determine whether the vehicle's range can support the remaining operating range, and sends an early warning to the background when the power is low to avoid the operation from stopping due to power depletion.

[0049] The outputs of the water level sensing unit, the vehicle attitude sensing unit, the operation status sensing unit, and the power monitoring unit are all connected to the control processing layer.

[0050] In practical applications, the output of each sensing unit is connected to the control processing layer, transmitting signals in analog, digital, or CAN message formats. Specifically, the ultrasonic water level sensor outputs an analog distance value or a digital value via a serial port; the four-position sensor outputs an inclination angle value; the water pump speed sensor outputs a pulse frequency; the chassis speed sensor reads the vehicle speed message from the CAN bus; and the power monitoring unit outputs a battery percentage signal.

[0051] The control processing layer includes a central control controller, which is configured to perform the following processing steps: Step A1: Receive the distance signal from the ultrasonic water level sensor and combine it with the pre-stored total height data of the water tank to determine the real-time water level percentage.

[0052] The real-time water level percentage is calculated as follows: The distance d is measured using an ultrasonic sensor. Given the total height H of the water tank, the water level percentage is calculated as (Hd) / H × 100%. If the water tank is irregularly shaped, this percentage is a height percentage, not a volume percentage, and requires subsequent compensation.

[0053] Step A2: Combining the vehicle tilt angle data from the four-way sensors, the pre-stored three-dimensional mapping relationship model of water tank volume-water level-tilt angle is called to perform slope compensation on the real-time water level percentage, and the actual remaining water volume under the current posture is determined by the interpolation algorithm.

[0054] The three-dimensional mapping model of water tank volume, water level, and tilt angle is a pre-calibrated data model. The specific calibration method involves measuring the ultrasonic water level values ​​corresponding to different actual water volumes at different tilt angles of the water tank (e.g., combinations of 0° forward / backward, ±5°, ±10°, 0° left / right, ±3°, ±6°, etc.), forming a three-dimensional lookup table. During operation, the actual remaining water volume is obtained by bilinear interpolation or three-dimensional interpolation using real-time water level and tilt angle.

[0055] To address the issue of distorted ultrasonic water level readings caused by the tilt of the liquid surface when the sweeper truck is traveling on a slope, the tilt angle data obtained from the four-way sensors can be used to correct the reading to the actual water volume through an interpolation algorithm. For example, if the water level sensor reading is low when the vehicle is going uphill, the interpolation model will calculate the equivalent water level in a horizontal state based on the forward tilt angle and the current reading, and then convert it into volume.

[0056] Step A3: Receive the signal from the water pump speed sensor, and determine the remaining working time based on the pre-calibrated water consumption per unit speed and the actual remaining water volume.

[0057] The water consumption per unit speed is a parameter pre-calibrated through pump bench testing, representing the pump's drainage volume (L / min or m³ / h) per unit time at different speeds. The calibration method is as follows: under standard operating conditions, record the pump's stable speed and corresponding flow rate, and fit a speed-flow rate curve.

[0058] The remaining working time is calculated as: actual remaining water volume / current water pump water consumption per unit time (obtained from the curve based on real-time speed).

[0059] Step A4: Receive the signal from the chassis speed signal sensor, and combine it with the remaining working time to determine the estimated remaining working mileage.

[0060] The remaining working mileage is calculated as: remaining working time × current vehicle speed. Considering the speed fluctuations of the sweeper truck during operation, a sliding average speed or predicted speed can be used for dynamic correction.

[0061] Step A5 involves overlaying the real-time location information from the map positioning module with the remaining workable mileage for analysis, and dynamically displaying the estimated workable range and the work endpoint anchor point on the map.

[0062] The endpoint anchor point is the location marked on the map as the remaining working distance extended from the current real-time location along the current driving direction (or the preset work path). This anchor point is used to inform the driver or the unmanned control system that "water is expected to run out here," facilitating advance planning for water replenishment.

[0063] Step A6: Based on the real-time water level percentage and low water level sensor signal, determine whether to trigger a water level warning and generate corresponding display and voice control commands.

[0064] Step A7: When the real-time roll risk coefficient exceeds the preset risk coefficient threshold, a rollover warning command is generated.

[0065] The real-time roll risk coefficient is a quantified risk value calculated based on the current water level (affecting the vehicle's center of gravity height) and the current roll angle, combined with a pre-stored model of the vehicle's center of gravity height and roll threshold under different water levels. This model is obtained through vehicle dynamics simulation or actual vehicle rollover tests. The inputs are the water level height (affecting the center of gravity height) and the roll angle, and the output is the risk coefficient (0-1) or whether the threshold is exceeded.

[0066] In practical applications, the central control unit receives raw signals from the data acquisition layer, processes them through the above steps, sends the calculation results to the human-machine interaction layer for display, and sends the work endpoint anchor point and overturning warning command to the map positioning module and voice prompt unit.

[0067] The control processing layer also includes a data fusion and communication module.

[0068] The data fusion and communication module is used to: synchronize and filter the signals collected by the ultrasonic water level sensor, four-way sensor, water pump speed sensor, and chassis speed signal sensor; exchange data with the vehicle chassis control system and the human-machine interface layer via the CAN bus; the data exchanged with the vehicle chassis control system includes: vehicle speed signals and vehicle status signals read from the chassis, as well as water pump start / stop commands and speed limit commands sent to the chassis; the data exchanged with the human-machine interface layer includes: real-time water level, remaining volume, working time, working mileage, rollover risk factor, and warning status data sent to the display screen, as well as user operation commands received from the display screen; and package the time-synchronized and filtered sensor data, as well as the process data, warning records, and anchor point information generated by the central control controller, and upload them to the remote backend server.

[0069] Among them, time synchronization and filtering are performed: each sensor collects data at different frequencies (e.g., ultrasonic sensor 10Hz, tilt sensor 50Hz, vehicle speed 100Hz). The data fusion and communication module adds a unified timestamp to these signals and filters noise signals (e.g., Kalman filtering, mean filtering) to eliminate electromagnetic interference and abnormal jumps caused by vibration, ensuring that the data received by the central control controller is stable and synchronized.

[0070] The system exchanges data with the vehicle chassis control system (such as the VCU vehicle controller and ABS braking system) via the CAN (Controller Area Network) bus, and also communicates with the display screen of the human-machine interface layer via the CAN bus.

[0071] The remote back-end server is a cloud-based server or fleet management platform that receives and uploads data packets via 4G / 5G wireless communication. The uploaded data includes: filtered raw sensor data (for back-end analysis), process data calculated by the central controller (such as remaining volume and risk coefficient at various times), early warning records (trigger time and location of water level alarms and rollover alarms), and anchor point information (water replenishment demand points and dangerous road section points).

[0072] In practical applications, the data fusion and communication module preprocesses the original signals on the one hand, and acts as a communication gateway on the other hand to realize multi-channel communication with the chassis CAN, the human-machine interaction layer, and the remote backend.

[0073] The human-computer interaction layer includes a display screen and a voice prompt unit.

[0074] The display screen dynamically displays the remaining water level percentage, remaining water volume, real-time vehicle tilt angle (front / back / left / right), remaining working time, remaining working mileage, water pump speed, vehicle speed, battery level, warning status icons, and map operating range.

[0075] The voice prompt unit, connected to the control processing layer, is used to play pre-recorded voice alarm information when a warning command is received.

[0076] For example, the voice prompt unit is connected to the central control unit via a hardwired connection or a CAN bus, and has a built-in voice synthesis chip or pre-recorded voice files. The voice content is dynamically selected according to the warning type, such as "The water level in the fresh water tank is low, please stop operation" or "Vehicle overturning, risk, please leave the current road section," etc.

[0077] The display logic of the screen is as follows: when the water level is lower than the first threshold, the color of the water level display area changes from green to yellow; when the water level is lower than the second threshold or when the low water level sensor is triggered, the color of the water level display area changes to red, and at the same time, the screen status bar pops up a text alarm message and triggers the voice prompt unit to broadcast, and the control processing layer sends a pump stop command to the water pump controller through the CAN bus.

[0078] The first threshold can be set to 20%, and the second threshold can be set to 5%. Color changes are achieved using RGB three-color LED backlighting or icon color changes, with yellow indicating a caution signal and red indicating a danger warning.

[0079] Specifically, when the water level is below the second threshold or the low water level sensor is triggered, the control processing layer sends a pump stop command to the water pump controller via the CAN bus to forcibly stop the water pump and prevent the water pump from running dry and being damaged.

[0080] In practical applications, the control processing layer sends water level data to the display screen, and the display screen automatically adjusts the color display according to the value; when an alarm is triggered, the control processing layer simultaneously sends an alarm command (triggering status bar text) to the display screen and a broadcast command to the voice prompt unit.

[0081] The map positioning module is a Beidou / GPS dual-mode positioning unit. The interaction between the map positioning module and the control processing layer includes: providing real-time latitude and longitude coordinates and vehicle speed information to the control processing layer; receiving the estimated work endpoint coordinates issued by the control processing layer and marking them on the map to form water refill demand anchor points; receiving the coordinates when the side tilt warning is triggered issued by the control processing layer and marking dangerous road section anchor points on the map; and in the unmanned sweeper mode, receiving the work path issued by the remote backend and sending back the information of water refill demand anchor points and dangerous road section anchor points to the backend for dynamic path replanning.

[0082] For example, a BeiDou / GPS dual-mode positioning unit is a positioning module that simultaneously receives signals from both the BeiDou satellite navigation system and the GPS satellite navigation system. Compared with single-mode positioning, dual-mode positioning can improve positioning accuracy, shorten positioning time, and enhance signal availability in complex environments such as urban canyons.

[0083] The water refill demand anchor point is the location marked on the map with a water droplet icon or a refill station icon after the estimated endpoint coordinates calculated by the control processing layer are sent to the map positioning module. This anchor point not only serves as a visual cue but also as a target point for route planning, allowing the driver or the autonomous system to navigate to the nearest water refill station with a single click.

[0084] Among them, the anchor point marking of dangerous road sections: When a rollover is triggered, the control processing layer sends the current coordinates to the map positioning module, which marks the area on the map with a red warning sign. Multiple warnings can be superimposed to form a heat map of dangerous road sections, which can be used for subsequent route optimization and early warning.

[0085] Among them, dynamic path replanning: In the unmanned sweeper mode, the remote backend combines the information of water replenishment demand anchor points and dangerous road section anchor points, calls path planning algorithms (such as A* algorithm and Dijkstra algorithm), recalculates the optimal path, avoids dangerous road sections, prioritizes passing through water replenishment points, and ensures the continuity and safety of operations.

[0086] The system also includes safety linkage control logic, specifically: when the control processing layer simultaneously receives a low water level sensor trigger signal and an ultra-low water level signal calculated by the ultrasonic water level sensor, it executes the highest level alarm: continuous voice alarm, red flashing display on the screen, and forced stop of water pump operation; when the real-time roll risk coefficient determined by the control processing layer exceeds the risk coefficient threshold, it immediately issues a voice warning through the voice prompt unit, and at the same time, the control processing layer sends an auxiliary safety signal to the vehicle chassis control system to limit vehicle speed or request suspension adjustment; when the system self-check detects that the ultrasonic water level sensor continuously generates abnormal data while the low water level sensor does not trigger, it automatically switches to the backup estimation mode, estimates the remaining water volume based on the water pump's cumulative working time and calibrated water consumption, and triggers a sensor fault alarm.

[0087] The highest level of protection applies when both sensors alarm simultaneously. The low water level sensor is a mechanical or electronic switch that triggers when the liquid level is below its installation position; the ultra-low water level signal comes from an ultrasonic sensor that calculates the water level to be below 5%. When both trigger simultaneously, it is determined that the water level is indeed severely insufficient, rather than a single sensor malfunction.

[0088] The highest level alarm includes continuous voice alarm (such as repeatedly broadcasting "Water level is extremely low, water pump has stopped, please add water"), red flashing display on the screen (such as water level numbers flashing red and white alternately at a frequency of 1Hz), and forced stop of water pump operation (sending a stop command to the pump via the CAN bus and simultaneously cutting off the water pump power supply relay).

[0089] When the roll risk factor exceeds the threshold, in addition to voice warnings, the control processing layer sends a speed limit request (such as limiting the vehicle speed to no more than 20 km / h) to the vehicle chassis control system (VCU). If the vehicle is equipped with active suspension or air suspension, it can also send a suspension adjustment command to lower the vehicle height to lower the center of gravity and enhance anti-roll capability.

[0090] When the system self-check detects continuous abnormal data from the ultrasonic water level sensor (such as signal loss, data fluctuations exceeding the normal range, or excessive deviation from historical data) and the low water level sensor fails to trigger, it automatically switches to standby mode: recording the cumulative running time of the water pump, multiplying it by the calibrated water consumption per unit time (corrected in real time according to the water pump speed), and estimating the remaining water volume. Simultaneously, a sensor fault alarm is triggered, prompting the driver or back-end system to repair the ultrasonic sensor.

[0091] The system includes a data recording and analysis backend. The backend operates by: receiving and storing data packets representing the entire vehicle operation process uploaded by the control processing layer. These data packets include at least: timestamp, location, water level, volume, gradient, pump speed, vehicle speed, power consumption, and warning events. Based on historical data, machine learning algorithms are used to analyze the average water consumption per unit mileage under different road sections and operating modes, establishing a personalized energy consumption model. Based on the energy consumption model and map information, efficiency optimization reports are provided to individual vehicles or fleets, including recommended water refill locations and optimal operating routes. The location and frequency of tilt warning events are statistically analyzed to generate a safety hotspot map for safety assessment and optimization of operating routes.

[0092] Among them, machine learning algorithms utilize regression analysis, random forests, or neural networks to analyze historical operation data and establish models of average water consumption per unit mileage for different road sections (such as asphalt roads, cement roads, and sloping roads) and different operation modes (cleaning mode, standard mode, and heavy-duty mode). This model can predict future water consumption based on real-time road conditions, making the remaining mileage estimation more accurate.

[0093] Among them, personalized operational energy consumption models are dedicated energy consumption models established for individual vehicles or specific drivers (through driving behavior analysis). For example, different drivers on the same road segment may have different water consumption due to different driving habits (rapid acceleration / constant speed), and the model can be personalized and calibrated.

[0094] Among them, the recommended water filling point location is: based on the energy consumption model and map information, combined with the distribution of water filling stations, operation path and remaining water volume, the optimal water filling point is dynamically recommended (considering both the closest distance and whether it is on the way, the queuing situation of the water filling station, etc.).

[0095] Among them, the safety hotspot map: statistically analyzes the location and frequency of roll warning events, generates a heat map, and red areas indicate high-frequency roll risk sections. This is used by fleet managers to optimize operation routes, avoid high-risk sections, or conduct special assessments of the sections before operation.

[0096] The data acquisition layer, control processing layer, human-machine interaction layer, and map positioning module are connected via a vehicle CAN bus network and / or dedicated wiring harness; the central control controller of the control processing layer is an embedded industrial computer or a high-performance vehicle ECU; the display screen is a touch LCD screen; the system interacts with the water pump controller and chassis controller of the sweeper truck via CAN bus to realize operation start / stop and safety linkage control.

[0097] Example 3 Corresponding to the above system embodiments, this invention provides a method for intelligent water level display of a sweeper truck. This method is applied to the intelligent water level display system of the sweeper truck described in the above embodiments. The intelligent water level display system of the sweeper truck includes: a data acquisition layer, a control processing layer, a human-computer interaction layer, and a map positioning module.

[0098] Figure 3 A flowchart of an intelligent water level display method for a sweeper truck provided in an embodiment of the present invention is shown below. Figure 3 As shown, the intelligent water level display method for the sweeper truck may include the following steps: Step S301: The intelligent water level display system of the sweeper truck is powered on and initialized. The sensors included in the data acquisition layer perform self-tests, and the central control controller loads the pre-calibrated data.

[0099] After the vehicle is powered on, the system starts up, and each sensor performs a self-check (the self-check includes: whether the sensor is in place, whether communication is normal, and whether the readings are within a reasonable range). The central control controller loads a pre-calibrated data model, including the total height of the water tank, the three-dimensional mapping model, the water consumption per unit speed, and the tilt threshold model. If the self-check detects a sensor fault, the system enters a degraded mode or prompts for repair.

[0100] The data includes at least the total height of the water tank, a three-dimensional mapping model of water tank volume-water level-tilt angle, water consumption per unit speed, and a model of vehicle center of gravity height and tilt threshold at different water levels.

[0101] In step S302, during the driving and operation of the sweeper truck, the data acquisition layer continuously collects signals, and the control processing layer performs real-time calculations of water level, volume after slope compensation, remaining working time and mileage, and real-time side tilt risk assessment.

[0102] During operation, the data acquisition layer collects signals at a fixed frequency, while the control processing layer performs real-time calculations of water level, volume after slope compensation, remaining time and mileage, and real-time roll risk assessment. All calculations are performed online in real time with a latency of no more than 100ms.

[0103] Step S303: The human-machine interaction layer updates and displays information in real time; when the real-time location provided by the map positioning module enters the estimated end point range of the operation or the control processing layer triggers a water level warning, the human-machine interaction layer executes the sound and light warning process.

[0104] The sound and light warning process includes at least the following: color change of the corresponding area on the display screen, text alarm pop-up in the status bar, and voice prompt unit broadcasting the warning information.

[0105] The human-computer interaction layer updates and displays information in real time. When the real-time location provided by the map positioning module enters the estimated endpoint range (e.g., less than 500 meters from the endpoint) or the control processing layer triggers a water level warning, an audible and visual warning process is executed. The audible and visual warning process includes screen color changes, text pop-ups, and voice announcements.

[0106] In step S304, if it is in autonomous driving mode, the remote backend server receives the warning signal and anchor point information, calls the path planning algorithm to recalculate the optimal path to the nearest water station, and instructs the vehicle to automatically drive to the water station; after water is added, the vehicle automatically starts from the nearest water station and continues to perform unfinished tasks or receives update instructions from the remote backend server.

[0107] In the unmanned sweeper mode, the remote backend server receives warning signals and anchor point information, calls the path planning algorithm to recalculate the optimal path to the nearest water refill station, and instructs the vehicle to automatically drive to the water refill station. After refilling, the vehicle automatically uses that water refill station as a starting point to continue performing unfinished tasks or receive updated task instructions from the remote backend server. This step realizes a fully automated closed-loop operation for the unmanned sweeper: operation - water shortage alarm - automatic navigation to refill - continuation of operation after refilling.

[0108] Step S305: After the job is completed, the control processing layer packages the data for this period and uploads it to the remote backend server. The remote backend server then generates a data report and analysis suggestions for this job.

[0109] After the operation is completed, the control processing layer packages the data for this cycle and uploads it to the remote backend server. The backend then generates a data report and analysis suggestions for this operation. The report may include: actual operation mileage, water consumption, average vehicle speed, statistics of early warning events, efficiency assessment, optimization suggestions, etc.

[0110] Example 4 Corresponding to the above method embodiments, this invention provides an intelligent water level display device for a sweeper truck. Figure 4 This is a schematic diagram of the structure of an intelligent water level display device for a sweeper truck provided in an embodiment of the present invention, as shown below. Figure 4 As shown, the intelligent water level display device for the sweeper truck may include: The power-on initialization module 401 is used for power-on initialization of the intelligent water level display system of the sweeper truck. The data acquisition layer includes various sensors that perform self-tests, and the central control controller loads pre-calibrated data. The data includes at least the total height of the water tank, the three-dimensional mapping relationship model of water tank volume-water level-tilt angle, water consumption per unit speed, and the vehicle center of gravity height and side tilt threshold model under different water levels.

[0111] The real-time execution module 402 is used to continuously collect signals in the data acquisition layer during the driving and operation of the sweeper truck, and to perform real-time calculations of water level, volume after slope compensation, remaining working time and mileage estimation, and real-time side tilt risk assessment in the control processing layer. The display module 403 is updated to update the display information in real time in the human-computer interaction layer. When the real-time position provided by the map positioning module enters the estimated end point range of the operation or the control processing layer triggers the water level warning, the human-computer interaction layer executes the sound and light warning process. The sound and light warning process includes at least: color change of the corresponding area of ​​the display screen, text alarm pop-up in the status bar, and voice prompt unit broadcasting the warning information. The instruction issuing module 404 is used to, in the case of autonomous driving mode, receive warning signals and anchor point information from the remote back-end server, call the path planning algorithm to recalculate the optimal path to the nearest water station, and instruct the vehicle to automatically drive to the water station; after water is added, the vehicle automatically starts from the nearest water station and continues to perform unfinished tasks or receives update instructions from the remote back-end server.

[0112] The data upload module 405 is used to package and upload the data of this cycle to the remote backend server after the job is completed. The remote backend server then generates a data report and analysis suggestions for this job.

[0113] The intelligent water level display device for sweeper trucks provided in this invention enables accurate display of water level and water capacity, scientific planning of operation time and mileage, multiple safety warnings, and data-driven operation optimization.

[0114] The device provided in this embodiment of the invention has the same implementation principle and technical effect as the aforementioned method embodiment. For the sake of brevity, any parts not mentioned in the device embodiment can be referred to the corresponding content in the aforementioned method embodiment.

[0115] Example 5 This invention also provides an electronic device for running the above-described intelligent water level display method for sweeper trucks; see also Figure 5 The diagram shows the structure of an electronic device, which includes a memory 500 and a processor 501. The memory 500 stores one or more computer instructions, which are executed by the processor 501 to implement the above-mentioned intelligent water level display method for sweeper trucks.

[0116] Furthermore, Figure 5 The electronic device shown also includes a bus 502 and a communication interface 503. The processor 501, the communication interface 503 and the memory 500 are connected via the bus 502.

[0117] The memory 500 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Communication between this system network element and at least one other network element is achieved through at least one communication interface 503 (which can be wired or wireless), such as the Internet, wide area network, local area network, metropolitan area network, etc. The bus 502 can be an ISA bus, PCI bus, or EISA bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The symbol is represented by a single double-headed arrow, but this does not mean that there is only one bus or one type of bus.

[0118] Processor 501 may be an integrated circuit chip with signal processing capabilities. In implementation, each step of the above method can be completed by the integrated logic circuitry in the hardware of processor 501 or by instructions in software form. Processor 501 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this invention can be directly manifested as execution by a hardware decoding processor, or execution by a combination of hardware and software modules in the decoding processor. The software module can reside in a readily available storage medium in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory 500, and processor 501 reads information from memory 500 and, in conjunction with its hardware, completes the steps of the method described in the foregoing embodiments.

[0119] This invention also provides a computer-readable storage medium storing computer-executable instructions. When these computer-executable instructions are called and executed by a processor, they cause the processor to implement the above-described intelligent water level display method for a sweeper truck. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0120] The computer program product for the intelligent water level display method for sweeper trucks provided in this embodiment of the invention includes a computer-readable storage medium storing non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the methods described in the preceding method embodiments. For specific implementation details, please refer to the method embodiments, which will not be repeated here.

[0121] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0122] In the several embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0123] The units described as separate components may or may not be physically separate. 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 network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0124] In addition, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0125] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0126] Finally, it should be noted that the above-described embodiments are merely specific implementations of the present invention, used to illustrate the technical solutions of the present invention, and not to limit it. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments within the technical scope disclosed in the present invention, or make equivalent substitutions for some of the technical features; and these modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A smart water level display system for a sweeper truck, characterized in that, The system includes: a data acquisition layer, a control processing layer, a human-computer interaction layer, and a map positioning module; The data acquisition layer is used to collect multi-dimensional physical signals related to the operation of the sweeper truck in real time; The control processing layer is communicatively connected to the data acquisition layer and is used to receive and process the physical signals to determine the water level, volume, operable time and mileage, and capsizing risk, and to generate control commands and early warning signals. The human-computer interaction layer is communicatively connected to the control processing layer and is used to visually display processed data information and warning status, and to receive user commands. The map positioning module is communicatively connected to the control processing layer and is used to provide real-time vehicle location, route planning and geographic anchor point recording functions. The data acquisition layer, the control processing layer, the human-computer interaction layer, and the map positioning module work together to intelligently monitor the water level in the sweeper truck's water tank, plan operations, and provide safety warnings.

2. The intelligent water level display system for a wash- sweep vehicle of claim 1, wherein, The data acquisition layer includes: a water level sensing unit, a vehicle attitude sensing unit, an operation status sensing unit, and a power monitoring unit. The water level sensing unit includes an ultrasonic water level sensor installed on the top of the water tank and a low water level sensor installed on the bottom of the water tank, used to detect the liquid level height and low water level status in the water tank. The vehicle attitude sensing unit is a four-way sensor installed at the bottom of the water tank, used to detect the front-to-back tilt angle and left-to-right tilt angle of the vehicle during driving and operation. The operation status sensing unit includes: a water pump speed sensor for detecting the water pump speed and a chassis speed signal sensor for detecting the vehicle speed. The power monitoring unit is used to collect the vehicle's power signal. The output terminals of the water level sensing unit, the vehicle attitude sensing unit, the operation status sensing unit, and the power monitoring unit are all connected to the control processing layer.

3. The intelligent water level display system for a wash tank according to claim 1, wherein, The control processing layer includes a central control controller, which is configured to perform the following processing steps: It receives distance signals from ultrasonic water level sensors and combines them with pre-stored total water tank height data to determine the real-time water level percentage. Combining vehicle tilt angle data from four-directional sensors, a pre-stored three-dimensional mapping model of water tank volume-water level-tilt angle is invoked to perform slope compensation on the real-time water level percentage, and the actual remaining water volume under the current posture is determined by an interpolation algorithm. Receive signals from the water pump speed sensor, and determine the remaining working time based on the pre-calibrated water consumption per unit speed and the actual remaining water volume; Receive signals from the chassis speed signal sensor and combine them with the remaining working time to determine the estimated remaining working mileage; The real-time location information from the map positioning module is overlaid and analyzed with the remaining workable mileage, and the estimated workable range and the work endpoint anchor point are dynamically displayed on the map. Based on the real-time water level percentage and low water level sensor signal, determine whether to trigger a water level warning and generate corresponding display and voice control commands; Based on the real-time water level percentage, actual remaining water volume, and vehicle tilt angle data, combined with the pre-stored vehicle center of gravity height and tilt threshold model under different water levels, the real-time tilt risk coefficient is determined. When the real-time roll risk coefficient exceeds the preset risk coefficient threshold, a rollover warning command is generated.

4. The intelligent water level display system of the sweeper- scrubber vehicle according to claim 3, wherein, The control processing layer further includes a data fusion and communication module, which is used for: The signals collected by the ultrasonic water level sensor, the four-way sensor, the water pump speed sensor, and the chassis speed signal sensor are time-synchronized and filtered. Data exchange is conducted via CAN bus, vehicle chassis control system, and the human-machine interface layer. The data exchanged with the vehicle chassis control system includes: vehicle speed signal and vehicle status signal read from the chassis, as well as water pump start / stop command and vehicle speed limit command sent to the chassis. The data exchanged with the human-machine interface layer includes: real-time water level, remaining volume, working time, working mileage, rollover risk factor, and warning status data sent to the display screen, as well as user operation commands received from the display screen. The sensor data after time synchronization and filtering, as well as the process data, early warning records and anchor point information generated by the central controller, are packaged and uploaded to the remote backend server.

5. The intelligent water level display system for a wash tank according to claim 1, wherein, The human-computer interaction layer includes: a display screen and a voice prompt unit; The display screen is used to dynamically display the remaining water level percentage, remaining water volume, real-time vehicle tilt angle (front / back / left / right), remaining working time, remaining working mileage, water pump speed, vehicle speed, battery information, warning status icons, and map working range. The voice prompt unit is connected to the control processing layer and is used to play pre-recorded voice alarm information when a warning command is received. The display logic of the display screen is as follows: when the water level is lower than the first threshold, the color of the water level display area changes from green to yellow; when the water level is lower than the second threshold or when the low water level sensor is triggered, the color of the water level display area changes to red, and at the same time, the screen status bar pops up a text alarm message and triggers the voice prompt unit to broadcast, and the control processing layer sends a pump stop command to the water pump controller through the CAN bus.

6. The smart water level display system for a wash tank according to claim 1, wherein, The map positioning module is a BeiDou / GPS dual-mode positioning unit, and the interaction between the map positioning module and the control processing layer includes: Provide the control processing layer with real-time latitude and longitude coordinates and vehicle speed information; Receive the estimated work endpoint coordinates sent by the control processing layer, and mark them on the map to form water demand anchor points; Receive the coordinates of the side tilt warning triggered by the control processing layer and mark the dangerous road section anchor points on the map; In unmanned sweeper mode, the vehicle receives the operation path issued by the remote backend and sends back the information of the water replenishment requirement anchor point and the dangerous road section anchor point to the backend for dynamic path replanning.

7. The intelligent water level display system for a wash tank as set forth in claim 3, wherein, The system also includes security linkage control logic, specifically: When the control processing layer simultaneously receives a low water level sensor trigger signal and an ultra-low water level signal calculated by an ultrasonic water level sensor, it executes the highest level alarm: continuous voice alarm, red flashing display on the screen, and forced stop of water pump operation. When the real-time roll risk coefficient determined by the control processing layer exceeds the risk coefficient threshold, a voice warning is immediately issued through the voice prompt unit. At the same time, the control processing layer sends an auxiliary safety signal to the vehicle chassis control system to limit the vehicle speed or request suspension adjustment. When the system self-test detects that the ultrasonic water level sensor has continuously abnormal data and the low water level sensor has not been triggered, it automatically switches to the backup estimation mode, estimates the remaining water volume based on the water pump's cumulative working time and calibrated water consumption, and triggers a sensor fault alarm.

8. The intelligent water level display system for a wash tank according to claim 1, wherein, The system is configured with a data recording and analysis backend, and the working mode of the data recording and analysis backend includes: Receive and store the vehicle operation process data packet uploaded by the control processing layer. The vehicle operation process data packet includes at least: timestamp, location, water level, volume, slope, water pump speed, vehicle speed, power consumption and warning events. Based on historical data, machine learning algorithms are used to analyze the average water consumption per unit mileage under different road sections and different operating modes, and a personalized operating energy consumption model is established. Based on the energy consumption model and map information, an efficiency optimization report is provided for a single vehicle or fleet, including recommended water refill locations and optimal operating routes. The location and frequency of tilt warning events are statistically analyzed to generate a safety hotspot map, which is used for safety assessment and optimization of work routes.

9. The intelligent water level display system for a sweeper truck according to claim 1, characterized in that, The data acquisition layer, the control processing layer, the human-machine interaction layer, and the map positioning module are connected via a vehicle CAN bus network and / or a dedicated wiring harness; the central control controller of the control processing layer is an embedded industrial computer or a high-performance vehicle ECU; the display screen is a touch LCD screen; the system interacts with the water pump controller and chassis controller of the sweeper truck via the CAN bus to achieve operation start / stop and safety linkage control.

10. A method for intelligent water level display on a sweeper truck, characterized in that, The intelligent water level display system for a sweeper truck, as described in any one of claims 1 to 9, comprises: a data acquisition layer, a control processing layer, a human-machine interaction layer, and a map positioning module; the method comprises: The intelligent water level display system of the sweeper truck is initialized upon power-up. The sensors included in the data acquisition layer perform self-tests. The central control controller loads pre-calibrated data. The data includes at least the total height of the water tank, a three-dimensional mapping relationship model of water tank volume-water level-tilt angle, water consumption per unit speed, and a model of vehicle center of gravity height and side tilt threshold at different water levels. During the driving and operation of the sweeper truck, the data acquisition layer continuously collects signals, and the control processing layer performs real-time calculations of water level, volume after slope compensation, remaining working time and mileage, and real-time side tilt risk assessment. The human-computer interaction layer updates the displayed information in real time; when the real-time location provided by the map positioning module enters the estimated end point range of the operation or the control processing layer triggers a water level warning, the human-computer interaction layer executes an audio-visual warning process, which includes at least: color change of the corresponding area of ​​the display screen, text alarm pop-up in the status bar, and voice prompt unit broadcasting the warning information. In autonomous driving mode, the remote backend server receives the warning signal and anchor point information, calls the path planning algorithm to recalculate the optimal path to the nearest water station, and instructs the vehicle to automatically drive to the water station; after watering is completed, the vehicle automatically uses the nearest water station as the starting point to continue to execute the unfinished work tasks or receive the update work instructions issued by the remote backend server. After the task is completed, the control processing layer packages the data for this period and uploads it to the remote backend server. The remote backend server then generates a data report and analysis suggestions for this task.

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