Safety and analysis system and method for dumper trucks
The system addresses inefficiencies in dumper truck safety by using sensors and machine learning to monitor vehicle dynamics and prevent rollovers, optimizing operations and reducing costs through real-time data analysis and adaptive controls.
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- METADIAG BILISIM TEKNOLOJI SANAYI & TICARET LTD SIRKETI
- Filing Date
- 2025-11-04
- Publication Date
- 2026-05-15
AI Technical Summary
Existing safety systems for dumper trucks lack a holistic approach to monitoring operational conditions and detecting risks in real-time, leading to inefficiencies, human error, and insufficient rollover risk detection, while being costly and difficult to integrate with enterprise systems.
A comprehensive system using sensors, a main control unit, and machine learning algorithms to monitor vehicle dynamics, prevent rollover risks, and optimize operations by analyzing data from various sensors, including a 6-axis accelerometer and gyroscope, GPS, and CANBUS system, with real-time warnings and adaptive controls.
Enhances operational efficiency and safety by minimizing rollover risks, optimizing business processes, and providing cost savings through real-time data analysis and proactive warnings, while ensuring easy integration and user-friendly interfaces.
Smart Images

Figure TR2025051397_15052026_PF_FP_ABST
Abstract
Description
[0001] SAFETY AND ANALYSIS SYSTEM AND METHOD FOR DUMPER TRUCKS
[0002] Technical field to which the invention relates:
[0003] The invention relates to a safety and analysis system for dumper trucks, which is capable of performing data analysis by means of sensors and enabling the prevention of hazards without intervention, and relates to the method thereof.
[0004] The invention particularly relates to a system which is capable of monitoring the operational conditions and technical data of vehicles for site managers and foremen, detecting risks in advance, and enabling proactive measures to be taken.
[0005] Prior art:
[0006] In construction and excavation areas, foremen and operations managers face complex challenges in ensuring the efficient and safe use of heavy machinery and trucks.
[0007] A number of measures must be taken to ensure safety in heavy machinery. Some important points that need attention may be listed as training and authorisation, heavy machinery maintenance, protective equipment, awareness of environmental hazards, awareness of environmental hazards; communication; working in high-risk areas; attention and balance.
[0008] Training and Authorisation require that operators who will use heavy machinery be trained and authorised. This training must include information on the safe use, maintenance and hazards of the machinery. Heavy Machinery Maintenance requires that heavy machinery be regularly maintained. This includes operations such as checking the functionality of parts, checking oil levels and other fluids, and checking the condition of the tyres. Protective Equipment requires operators to use personal protective equipment (for example, helmet, goggles, gloves, headphones, safety belt, etc.) while operating heavy machinery. Awareness of Environmental Hazards requires operators to know the potential hazards in the environment in which they operate heavy machinery and to take precautions against these hazards. Communication requires effective communication with people around the heavy machinery and ensuring that signals, warnings and commands are understood. Working in High-RiskAreas requires additional measures for the safe operation of heavy machinery in the event of working in high-risk areas. For example, extra attention and precautions are required when working on sloped surfaces, near high-voltage lines or in traffic. Attention and Balance are very important, as operators must be careful and maintain their balance while using heavy machinery. They should not rush and should work calmly. These measures are measures that can be taken individually, and all are prone to human error. Therefore, a system with automation capable of monitoring the real-time positions, operational conditions and technical data of vehicles, detecting risks in advance and enabling proactive measures to be taken is required for site managers and foremen. Although some systems or methods developed for these purposes exist in the prior art, such systems and methods do not have a holistic approach and only allow the monitoring of specific points. Examples of some patent and utility model applications made in relation to the subject in the prior art are given below.
[0009] The abstract of the application numbered “TR2021 / 009450” and entitled “A DEVICE FOR AUTOMATICALLY MATCHING WORK MACHINES AND ANALYSING THEIR EFFICIENCIES INCLUDING USER INFORMATION” in the state of the art reads: “The invention is an electronic device designed to measure and analyse the relocation and efficiency of various construction components such as soil, aggregate product, asphalt binder, etc., which are transferred between work machines such as excavators, loaders, asphalt pavers and trucks during construction activities by automatically matching with each other at the moments they work together and by determining the positions where they unload. The device automatically determines which work machine is working with which work machine by using the distance between vehicles, the vibration in the vehicles when a load is loaded, the rotational speed and the directional information of the vehicles with the help of the GPS receiver (7), electronic accelerometer (12), electronic compass (13) and electronic gyro (14) included therein. By reading the operator’s ID card through the RFID reader (2) included therein, it adds the user information to the vehicle matching information and transmits them to the servers via the GSM modem (4) included therein for the purpose of conducting analyses. With the information collected on the servers, it is calculated where and how many tonnes of soil, asphalt binder, sand, aggregate, etc., each truck has loaded and where it has unloaded; how many tonnes of production have been carried out via transport in asphalt, concrete and aggregate quarries; and which personnel have worked with which work machine, when and for how long. The information obtained through the system is used to monitor and increase the efficiency of work machines.” The abstract of the application numbered “TR2019 / 05172” and entitled “ELECTRICALLY DRIVEN WORK MACHINE, IN PARTICULAR A DUMPER TRUCK OR TRUCK” in the state of the art reads: “The invention relates to a work machine, in particular a dumper truck or a truck, having a movement drive group and / or a main working unit which can be driven by a drive unit (8) containing at least one electric motor (10). The invention additionally comprises an oil sensor (23) added for observing and measuring the contribution of the hydraulic motor (12) to the main working unit (18) and for examining and monitoring the level of oil in the hydraulic motor (12), its temperature degree and similar conditions.”
[0010] The abstract of the application numbered “TR2018 / 12390” and entitled “A TRACKING SYSTEM DEVELOPED FOR DUMPER TRUCKS” in the state of the art reads: “This invention relates to a tracking system (1 ) developed for all truck (B) models having a dumper (A) superstructure. In the tracking system (1 ), if the area where the trucks (B) unload is a restricted area, the driver (C) is warned by audible and visual alerts. If the driver (C) intends to unload despite the warning, this situation is reported to the fleet management centre (D). In the tracking system (1 ), the driver (C) is also warned with audible and visual alerts if the truck (B) moves while the dumper (A) is in the open position.”
[0011] In the application numbered “KR20190120027” in the state of the art, it is mentioned that when the user of a tractor or heavy equipment is working in a work environment located remotely, it becomes difficult for the user to obtain sufficient visibility due to reasons such as soil, water, grass and the like. When working on a steep slope, the worker may be exposed to accident risks such as overturning. Accordingly, the device mounted inside the cabin, which senses vibration and incline, and the user's smartphone are configured to receive shock and incline information in real time and automatically send a message or place a call to a designated contact number. When the user is in a dangerous situation, the damage that may result from an accident is thus minimised. Additionally, there is a system that reports a dangerous situation occurring in a cabin by using loT.
[0012] The invention disclosed in the application numbered “US11845445” in the state of the art concerns a method, a device, a storage medium and a vehicle for providing an overturn-prevention warning for a vehicle. The method for providing an overturnprevention warning for a vehicle includes the following: collecting rollover condition parameters of the vehicle body; calculating the lateral load transfer rate of the vehicle according to the collected rollover condition parameters of the vehicle body and a preset load transfer rate threshold model including the centrifugal force rollover moment of the sprung mass; and determining whether there is a rollover risk for the vehicle according to the calculated lateral load transfer rate and a preset rollover threshold.
[0013] The invention disclosed in the application numbered “CN107791967” in the state of the art describes a method and a device for determining a vehicle and preventing a vehicle from overturning. The method comprises the process steps of obtaining vehicle motion information and vehicle load information; and determining the effect degree values of vehicle rollover hazard according to the vehicle motion information.
[0014] In the state of the art, limited safety features are generally offered and rollover risk detection is insufficient in advance. Existing systems generally provide only basic vehicle tracking and positioning and do not offer operational efficiency or business process optimisation.
[0015] In the state of the art, systems may also generally be more costly and provide lower efficiency. Moreover, existing systems are generally limited in reducing environmental impact, may offer complex user interfaces and may be difficult to integrate with other enterprise systems.
[0016] Consequently, due to the disadvantages described above and the inadequacy of existing solutions on the subject, it has been deemed necessary to make an improvement in the relevant technical field.
[0017] The Aim of the invention:
[0018] The invention is a comprehensive system designed to increase the safety and operational efficiency of dumper trucks. The system aims to reduce the risk of overturning on sloped and challenging terrain conditions, to monitor the operational condition of vehicles and to optimise business processes. It maximises occupational safety through advanced data monitoring systems developed to improve time management and increase safety levels. An important aim of the invention is to provide data analysis by means of sensors. In this way, through the analysis and processing of data obtained via various sensors on the vehicles, the operational conditions and safety levels of the vehicles are increased.
[0019] Another important aim of the invention is to provide vehicle safety and overturn prevention. In line with this aim, the invention detects the overturning risk of dumper trucks in real time by using advanced sensors and algorithms and provides preventive warnings.
[0020] Another important aim of the invention is to ensure the collection and storage of in- vehicle communication data. The system, which aims to elevate vehicle and site optimisation to a higher level, collects and stores in-vehicle data. It has the potential to monitor in real time the engine revolution information, fuel levels, operating hours and technical conditions of vehicles or work machines. This technology aims to provide site managers with critical data for the efficient use of vehicles and to offer significant cost and time savings.
[0021] Another important aim of the invention is to provide adaptation to different environmental conditions. Thus, it has a protection class within this standard and a wide operating temperature range to adapt to the challenging conditions in construction and excavation sites.
[0022] Another aim of the invention is to provide important information to drivers and operations managers by processing vehicle data in real time with software solutions and algorithms specially designed for vehicle safety and efficiency.
[0023] Another aim of the invention is the detection of varying ground conditions due to the constantly changing terrain on which dumper trucks operate. Thus, it enables continuous inclination measurement even after the dumper begins to be raised and ensures that the dumper is automatically lowered in a dangerous situation.
[0024] Another aim of the invention is analyses performed by means of machine learning. Driver efficiency reporting is carried out on the user panel using algorithms created by means of machine learning for reporting messages received from the system. In addition, the system, which evaluates the frequency and type of possible fault codes received from the vehicle itself, ensures that potential mechanical faults can be reported to the user in advance. In this way, the invention also enables companies to take action regarding system efficiency.
[0025] Another aim of the invention is to be sensitive to environmental impact and to provide sustainability. In line with this aim, it reduces environmental impact by ensuring the safe operation of vehicles in dumping areas and work sites and by optimising business processes, which contributes to sustainability targets.
[0026] Another aim of the invention is to have a user-friendly interface and provide easy integration. The system presents the vehicle’s inclination and protection information to the user through an indicator-panel interface and also allows in-vehicle communication data to be monitored graphically through this interface. It is also used for sensor and device calibration.
[0027] Another aim of the invention is to ensure the safety of the vehicle by maintaining the piston opening level. The majority of overturning incidents in dumper trucks result from load imbalance and hydraulic system failures. For this reason, before the piston opening in dumper trucks reaches the maximum level, the lifting of the dumper is automatically stopped, thereby minimising the overturning risk caused by the piston.
[0028] Another aim of the invention is to ensure driver safety and reduce possible damage levels by issuing a stop command to the vehicle’s engine when the horizontal inclination level reaches 45°.
[0029] Another aim of the invention is to provide long-term cost savings by offering high efficiency and low operating costs.
[0030] Description of the drawings:
[0031] FIGURE -1 ; It is the drawing that shows the flow chart of the safety and analysis method of the invention for dumper trucks.
[0032] FIGURE -2; It is the drawing that shows the safety and analysis system of the invention for dumper trucks as installed on dumper trucks.
[0033] FIGURE -3; It is the drawing that presents the safety and analysis system of the invention for dumper trucks.
[0034] FIGURE -4; It is the drawing that presents the main control unit of the safety and analysis system of the invention for dumper trucks. Reference numerals:
[0035] 100: Measurement of the inclination of the dumper / chassis by means of the 6-axis accelerometer and gyroscope module located in the main control unit and the sensors
[0036] 200: Transmission of the inclination value measured by means of the 6-axis accelerometer and gyroscope module and the inclination sensor to the microprocessor
[0037] 300: Analysis of the data received from the CANBUS system by the microprocessor
[0038] 310: Receipt of data from the inclination and speed sensor by the microprocessor
[0039] 320: Reaching of predefined inclination values by the microprocessor
[0040] 330: Comparison of the received inclination and speed sensor data with the predefined triggering angle and inclination in the microprocessor
[0041] 331 : Issuing a warning if the predefined inclination angle is reached (331 )
[0042] 331.0: Issuing a stop command to the vehicle’s engine when the horizontal inclination level reaches 45°
[0043] 331.1 : Activation of LEDs and buzzers when the predefined triggering angle and inclination are reached in the microprocessor
[0044] 331.2: Transmission by the system of a direct lowering command to the dumper control of the vehicle
[0045] 332: Failure to reach the predefined triggering angle and inclination value in the microprocessor
[0046] 332.1 : Storage of the data sent in the CANBUS module on the SD card
[0047] 332.2: Creation of a report with the stored data
[0048] 332.2.1 : Collection of CAN messages (engine revolution information, fuel consumption, speed information, operating hours, engine temperature) and other operational parameter data
[0049] 332.2.2: Creation of training sets for fault detection and maintenance recommendation processes by using an artificial intelligence model 332.2.3: Analysis of the collected CAN messages and data by means of artificial intelligence
[0050] 332.2.4: Obtaining meaningful results in terms of driver behaviour and vehicle performance based on the analysis
[0051] 332.2.5: Development by artificial intelligence of various estimation and recommendation algorithms based on the collected data
[0052] 332.2.6: Real-time presentation to the user on the user panel of all warning and recommendation algorithms created as a result of the analysis of CAN messages
[0053] 332.2.7: Creation of reports by means of models and rules generated during the learning phase through artificial intelligence
[0054] 332.2.8: Downloading of the created reports from the control panel via the interface
[0055] 332.2.9: Display on the interface, via the indicator panel, of the warning and recommendation algorithms for each condition
[0056] 332.3: Display of the created report on the control panel via the interface
[0057] 340: Completion of the analysis by means of the comparison result
[0058] 400: Analysis of the movement status of the vehicle by means of the gyroscope integrated into the system
[0059] 410: Allowing the dumper to be raised if no movement status is detected
[0060] 420: Preventing the dumper from being raised if movement status is detected
[0061] 500: Control of the opening / closing operations of the vehicle’s cover by means of the dumper cover sensor
[0062] 600: Determination of the dumping area and tracking of the vehicle’s position by means of the GPS module
[0063] 610: Receipt from the user of the latitude and longitude information of the desired area by means of the GPS module
[0064] 620: Dumping in the area corresponding to the received latitude and longitude information 630: Prevention of dumping in an area other than the area corresponding to the received latitude and longitude information
[0065] 640: Display of the latitude and longitude information received via the GPS module on the control panel via the interface
[0066] 700: Stopping of the dumper before the dumper reaches the maximum piston opening level
[0067] 800: Completion of dumping in the area displayed on the interface
[0068] 1 : Box
[0069] 10: Sensors
[0070] 20: GPS module
[0071] 30: Control panel
[0072] 40: SD card
[0073] 50: Main control unit
[0074] Detailed description:
[0075] The system of the invention increases the operational efficiency of dumper trucks, optimises business processes and strengthens overall occupational safety by using interaction technology and advanced data analysis. Through this, it serves not only as a safety solution but also as a comprehensive operational management tool.
[0076] The invention involves vehicle dynamics and risk management falling within the field of driving safety. It is designed to minimise overturn risks that may arise from various factors such as incorrect loading, terrain inclination, driver error and vehicle malfunctions.
[0077] The system of the invention comprises a box (1 ), a main control unit (50), a hydraulic control unit, sensors (10), a dumper cover sensor, a GPS module (20), an accelerometer module, LEDs and buzzers, and a control panel (30) including an interface.
[0078] The hydraulic control unit begins with the installation of the Metadamper module onto the vehicle chassis; the 8-pin socket is placed facing forward and the module is fixed onto the chassis. The installation cable is routed into the cabin and connected to the hydraulic system and control units. The system consists of continuous air, lowering and lifting hoses connected to the valve, thereby controlling the movements of the dumper. Hydraulic outputs from the valve are converted into an electrical system and controlled by a coil; the voltage applied to the coil performs the opening / closing operations of the valve, and thus the hydraulic movements are precisely managed.
[0079] The box (1 ) is the structure housing the main control unit.
[0080] The main control unit (50) is the section containing the 6-axis accelerometer and gyroscope module.
[0081] The 6-axis accelerometer and gyroscope module measures the inclination of the dumper / chassis both horizontally (X-axis) and vertically (Y-axis). The invention uses an inclination of 4° on the X-axis and 13° on the Y-axis as the standard warning measure. The standard inclination measure has been determined through observations and field tests. The user may calibrate these values depending on the condition of the dumping area or construction site where dumping will be performed and may assign the desired value. The measured inclination values are transmitted to the microprocessor, which has been calibrated in software according to customer requirements.
[0082] The microprocessor analyses the data and takes the necessary safety measures. When the predefined standard warning inclination values are reached, the system sends a direct lowering command to the dumper control of the vehicle.
[0083] Some types of dumper trucks are rear-covered vehicles that carry dumping loads and operate in transport and logistics. The invention calculates the cover angle by means of an accelerometer placed on the vehicle cover, and thus detects whether the vehicle covers are open or closed. If the cover is open while the vehicle is in motion, the system issues a warning and the cover does not open.
[0084] The invention analyses the movement status of the vehicle by means of the gyroscope. Through this, depending on the movement status of the vehicle, the opening / closing operations of the vehicle cover are controlled by means of the cover sensor, which is one of the dumper sensors (10). When the vehicle is in motion, the opening of the dumper and the cover is not permitted. An accelerometer is used to measure inclination, and GPS is used to measure speed. The position and speed of the vehicles are detected by means of the GPS module (20).
[0085] The invention analyses the data received from the mentioned accelerometer and GPS and thereby ensures the optimisation of operational efficiency and safety measures. This analysis is carried out by comparing the threshold inclination angles at which dumper trucks may overturn with the current inclination angles at the existing location.
[0086] In the warning system used during danger and alert conditions, LEDs and buzzers provide warnings when the predefined standard triggering angle and inclination are reached. Through this, preventive action can be taken before adverse situations occur for dumper trucks, and controlled driving can be achieved. User errors are minimised.
[0087] The data received via the CANBUS module located in the main control unit (50) of the invention are stored on the SD card (40) located in the main control unit (50) and are presented live to the user via the interface through the control panel (30).
[0088] The control panel (30), which includes an interface, is added to the vehicle in the form of a screen containing indicators. Through this, the vehicle data (operating hours, fuel level, trip count, engine revolution information) received from the CANBUS are stored in the SD card (40) module and made ready for reporting. Reporting is provided via the screen. It enables the user to calibrate inclination values through the user panel according to their preference, and to reset angle values even if the relevant area is inclined.
[0089] The invention carries out driver efficiency reporting on the user panel by means of machine learning for reporting the CAN messages received. In addition, this system, which evaluates the frequency and type of fault codes that may arise in the vehicle, enables potential mechanical faults to be reported to the user in advance. It determines the dumping area via the GPS module (20). The latitude and longitude information of the desired area are obtained by means of the GPS module (20). The latitude and longitude information is labelled via the control panel (30) including the interface. Depending on the user’s option, dumping is not carried out in areas outside these latitude and longitude values.
[0090] The method for performing field dumping, which includes the execution of the safety and analysis method for dumper trucks, comprises the process steps of: • Measuring the inclination of the dumper / chassis by means of the 6-axis accelerometer and gyroscope module located in the main control unit and the sensors (100),
[0091] • Transmitting the inclination value measured by means of the 6-axis accelerometer module and gyroscope and the inclination sensor to the microprocessor (200),
[0092] • Analysing the data received from the CANBUS system by the microprocessor (300),
[0093] • Analysing the movement status of the vehicle by means of the gyroscope integrated into the system (400),
[0094] • Controlling the opening / closing operations of the vehicle cover by means of the dumper cover sensor (500),
[0095] • Determining the dumping area and tracking the position of the vehicle by means of the GPS module (600),
[0096] • Stopping the dumper before it reaches the maximum piston opening level (700), and
[0097] • Performing dumping in the area displayed on the interface (800).
[0098] Analysing the data received from the CANBUS system by the microprocessor (300), which is one of the process steps of the method for performing field dumping for dumper trucks, comprises the process steps of:
[0099] • The microprocessor receiving data from the inclination and speed sensor (310),
[0100] • Reaching the predefined inclination values in the microprocessor (320),
[0101] • Comparing the received inclination and speed sensor data with the predefined triggering angle and inclination in the microprocessor (330),
[0102] • Completing the analysis based on the comparison result (340),
[0103] • Storing the data sent in the CANBUS module on the SD card (332.1 ),
[0104] • Creating a report with the stored data (332.2),
[0105] • Displaying the created report on the control panel via the interface (332.3), and
[0106] • The system sending a direct lowering command to the dumper control of the vehicle (331.2).
[0107] Comparing the received inclination and speed sensor data with the predefined triggering angle and inclination in the microprocessor (330), which occurs within the process step of analysing the data received from the CAN BUS system by the microprocessor (300) in the method for performing field dumping for dumper trucks, comprises the process steps of:
[0108] • The predefined triggering angle and inclination value not being reached in the microprocessor (332),
[0109] • Storing the data sent in the CANBUS module on the SD card (332.1 ),
[0110] • Creating a report with the stored data (332.2), and
[0111] • Displaying the created report on the control panel via the interface (332.3).
[0112] Creating a report with the stored data (332.2), which occurs within the process step of comparing the received inclination and speed sensor data with the predefined triggering angle and inclination in the microprocessor (330), comprises the process steps of:
[0113] • Collecting CAN messages (engine revolution information, fuel consumption, speed information, operating hours, engine temperature) and other operational parameter data (332.2.1 ),
[0114] • Creating training sets for fault detection and maintenance recommendation processes by using an artificial intelligence model (332.2.2),
[0115] • Analysing the collected CAN messages and data by means of artificial intelligence (332.2.3),
[0116] • Obtaining meaningful results in terms of driver behaviour and vehicle performance based on the analysis (332.2.4),
[0117] • Developing various estimation and recommendation algorithms by means of artificial intelligence based on the collected data (332.2.5),
[0118] • Presenting to the user in real time, on the user panel, all warning and recommendation algorithms created as a result of the analysis of CAN messages (332.2.6),
[0119] • Creating reports by means of models and rules generated during the learning phase through artificial intelligence (332.2.7),
[0120] • Downloading the created reports from the control panel via the interface (332.2.8), and
[0121] • Displaying, on the interface via the indicator panel, the warning and recommendation algorithms for each condition (332.2.9). In the process step of comparing the received inclination and speed sensor data with the predefined triggering angle and inclination in the microprocessor (330), which occurs within the process step of analysing the data received from the CANBUS system by the microprocessor (300) in the method for performing field dumping for dumper trucks, the operations of issuing a warning when the predefined inclination angle is reached (331 ), issuing a stop command to the vehicle’s engine when the horizontal inclination level reaches 45° (331 .0), activating the LEDs and buzzers when the predefined triggering angle and inclination are reached in the microprocessor (331.1 ), and the system sending a direct lowering command to the dumper control of the vehicle (331 .2) are performed.
[0122] Analysing the movement status of the vehicle by means of the gyroscope integrated into the system (400), which is one of the process steps of the method for performing field dumping for dumper trucks, comprises the process steps of:
[0123] • Allowing the dumper to be raised if no movement and speed status is detected (410), and
[0124] • Preventing the dumper from being raised if movement and speed status is detected (420).
[0125] Determining the dumping area and tracking the position of the vehicle by means of the GPS module (600), which is one of the process steps of the method for performing field dumping for dumper trucks, comprises the process steps of:
[0126] • Receiving from the user the latitude and longitude information of the desired area by means of the GPS module (610),
[0127] • Performing dumping in the area corresponding to the received latitude and longitude information (620),
[0128] • Preventing dumping in an area other than the area corresponding to the received latitude and longitude information (630), and
[0129] • Displaying the latitude and longitude information received via the GPS module on the control panel via the interface (640).
[0130] The challenging conditions in construction and excavation sites may lead to failures in safety systems. The invention is manufactured to military standards and has an IP68 protection class and a wide operating temperature range (-40°C to +85°C). The system of the invention provides advantages and ease of use in many areas. The dumper safety system can be used as a final product to provide a vehicle safety system in work machines. Through this, operational efficiency is increased.
Claims
CLAIMS1. A dumper monitoring and analysis system connected to the hydraulic control unit, comprising:• a main control unit (50) which includes a 6-axis accelerometer and gyroscope module that measures the inclination of the dumper / chassis both horizontally (X-axis) and vertically (Y-axis), and which detects the speed of the dumper truck;• a dumper cover sensor, which is one of the sensors (10), enabling the control of the opening / closing operations of the vehicle cover;• a GPS module (20) which is integrated with the main control unit (50) and enables the determination of the dumping area and the position of the vehicle;• LEDs and buzzers providing warnings during danger and alert situations;• a control panel (30) including an interface, which enables users to access information and reporting regarding the status and operational data of the vehicles;• an SD card (40) integrated into the main control unit (50), on which the algorithms generated by machine learning using the data received via the CANBUS module and the reporting provided by these algorithms are stored; and• a box (1 ) housing the main control unit (50).
2. The dumper monitoring and analysis system connected to the hydraulic control unit according to Claim 1 , comprising an accelerometer for measuring inclination and a GPS module (20) for measuring speed.
3. The dumper monitoring and analysis system connected to the hydraulic control unit according to Claim 1 , Claim 2 or Claim 3, comprising an accelerometer sensor placed on the vehicle cover, which calculates the cover angle and thereby enables the detection of whether the vehicle covers are open or closed.
4. The dumper monitoring and analysis system connected to the hydraulic control unit according to Claim 1 , Claim 2, Claim 3 or Claim 4, comprising a microprocessor to which the inclination values measured by the 6-axis accelerometer and gyroscope module are transmitted.
5. The dumper monitoring and analysis system connected to the hydraulic control unit according to Claim 1 , comprising LEDs and buzzers that provide a warning when the predefined triggering angle and inclination are reached.
6. The dumper monitoring and analysis system connected to the hydraulic control unit according to Claim 1 , comprising a control panel (30) which enables the user to calibrate inclination values according to preference and to reset the angle values even if the relevant area is inclined.
7. A method for performing site dumping for dumper trucks connected to the hydraulic control unit, comprising the process steps of:• Measuring the inclination of the dumper / chassis (100) by means of the 6-axis accelerometer and gyroscope module located in the main control unit and the GPS module,• Transmitting to the microprocessor (200) the inclination value measured by means of the 6-axis accelerometer and gyroscope module and the accelerometer located in the GPS module,• Analysing the data received from the CANBUS system by the microprocessor (300),• Analysing the movement status of the vehicle by means of the gyroscope integrated into the system (400),• Controlling the opening / closing operations of the vehicle cover by means of the dumper cover sensor (500),• Determining the dumping area and tracking the position of the vehicle by means of the GPS module (600),• Stopping the dumper before the maximum piston opening level is reached (700), and• Performing the dumping in the area displayed on the interface (800).
8. The method for performing site dumping for dumper trucks connected to the hydraulic control unit according to Claim 7, wherein the process step of analysing the data received from the CANBUS system by the microprocessor (300) comprises the process steps of:• receiving data from the inclination and speed sensor by the microprocessor (310),• reaching the inclination values predefined in the microprocessor (320),• comparing the received inclination and speed sensor data with the predefined triggering angle and inclination in the microprocessor (330),• finalising the analysis based on the result of the comparison (340),• storing in the SD card the data transmitted in the CANBUS module (332.1 ),• generating a report with the stored data (332.2),• displaying the generated report on the control panel through the interface(332.3), and• sending, by the system, a direct lowering command to the dumper control of the vehicle (331 .2).
9. The method for performing site dumping for dumper trucks connected to the hydraulic control unit according to Claim 7 or Claim 8, wherein the process step of comparing the inclination and speed sensor data received by the microprocessor with the predefined triggering angle and inclination (330) comprises the process steps of:• not reaching the predefined triggering angle and inclination value in the microprocessor (332),• storing in the SD card the data transmitted in the CANBUS module (332.1 ),• generating a report with the stored data (332.2), and• displaying the generated report on the control panel through the interface(332.3).
10. The method for performing site dumping for dumper trucks connected to the hydraulic control unit according to Claim 7 or Claim 8, wherein the process step of providing a warning when the predefined inclination angle is reached (331 ), which is within the process step of comparing the inclination and speed sensor data received by the microprocessor with the predefined triggering angle and inclination (330), comprises the process steps of:• issuing a stop command to the engine of the vehicle when the horizontal inclination level reaches 45° (331.0),• activating the LEDs and buzzers when the predefined triggering angle and inclination are reached in the microprocessor (331.1 ), and• sending, by the system, a direct lowering command to the dumper control of the vehicle (331 .2).
11. The method for performing site dumping for dumper trucks connected to the hydraulic control unit according to Claim 8 or Claim 9, wherein the process step of generating a report with the stored data (332.2) comprises the process steps of:• collecting the data of the CAN messages (engine revolution information, fuel consumption, speed information, operating hours, engine temperature) and other operational parameters (332.2.1),• creating training datasets for fault detection and maintenance recommendation processes by using a machine learning model (332.2.2),• analysing the collected CAN messages and data by means of fault codes generated through artificial intelligence (332.2.3),• obtaining meaningful results in terms of driver behaviours and vehicle performance from the analysis (332.2.4),• developing various prediction and recommendation algorithms by means of artificial intelligence based on the collected data (332.2.5),• presenting to the user in real time, on the user panel, all warning and recommendation algorithms generated as a result of analysing the CAN messages (332.2.6),• generating reports by means of the models and rules created during the learning phase through artificial intelligence (332.2.7),• downloading the generated reports from the control panel through the interface (332.2.8), and• displaying to the user, on the interface via the dashboard, the warning and recommendation algorithms for each condition (332.2.9).
12. The method for performing site dumping for dumper trucks connected to the hydraulic control unit according to Claim 7, wherein the process step of analysing the movement status of the vehicle by means of the gyroscope integrated into the system (400) comprises the process steps of:• allowing the dumper to rise when the movement and speed status is not detected (410),• preventing the dumper from rising when the movement and speed status is detected (420).
13. The method for performing site dumping for dumper trucks connected to the hydraulic control unit according to Claim 7, wherein the process step of determining the dumping area and tracking the position of the vehicle by means of the GPS module (600) comprises the process steps of:• receiving from the user the latitude and longitude information of the desired area by means of the GPS module (610),• performing the dumping in the area corresponding to the received latitude and longitude information (620),• preventing dumping in areas other than the area corresponding to the received latitude and longitude information (630), and• displaying, on the control panel through the interface, the latitude and longitude information received by means of the GPS module (640).