Working condition identification method and system suitable for paver
By automatically identifying the paver's operating conditions and adaptively generating control parameters, the system solves the quality problems caused by human error in the paver control system, achieves efficient energy consumption management and system collaboration, adapts to complex construction scenarios, and reduces maintenance costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XCMG CONSTRUCTION MACHINERY CO LTD ROAD MACHINERY BRANCH
- Filing Date
- 2026-01-30
- Publication Date
- 2026-05-19
AI Technical Summary
Existing paver control systems rely on manual judgment of working conditions, resulting in inaccurate parameter matching, paving quality problems, unreasonable energy consumption, poor coordination between subsystems, lack of fault diagnosis functions, and difficulty in adapting to complex construction scenarios.
By acquiring data on temperature, hydraulic system pressure, and equipment speed in the hopper, conveying channel, and screed area, the system automatically identifies the paver's operating conditions, adaptively generates control parameters, and coordinates the adjustment of the actuators to achieve intelligent operating condition identification and linkage control.
To avoid human error, improve paving quality, reduce energy consumption, enhance system synergy, adapt to complex scenarios, and reduce maintenance costs.
Smart Images

Figure CN122064016A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a working condition identification method and system for pavers, belonging to the technical field of pavers. Background Technology
[0002] As a core piece of equipment in road construction, pavers are mainly used to evenly lay and compact asphalt, water-stabilized materials, and other paving materials. Existing paver control systems have several technical defects: First, switching between operating conditions relies on manual judgment. Operators need to manually adjust parameters according to the material type. The temperature difference between asphalt and water-stabilized materials can reach 80-120℃, making manual identification prone to errors and leading to quality problems such as segregation, roughness, and pitting on the paved surface. Second, parameter matching uses fixed threshold control, which can easily cause blockage of the auger distributor or material segregation when the construction medium or load changes. Third, energy consumption control is unreasonable; the constant temperature system cannot dynamically adjust power according to the medium type, resulting in 15-20% energy waste. Fourth, the coordination between subsystems is poor; the material conveying system and the vibration system lack a linkage mechanism, making it difficult to adapt to complex construction scenarios such as curves and slopes. Fifth, there is a lack of comprehensive fault diagnosis functions, making it impossible to promptly identify sensor and actuator malfunctions, increasing maintenance costs and construction risks.
[0003] In existing technologies, some construction machinery employs sensor monitoring and automatic control technologies. For example, the flushing water control system of a rock drilling rig uses multi-sensor data to dynamically adjust the water volume, and electric loaders control motor speed through lever angle zone control. However, these technologies are designed for single-function scenarios of specific equipment and cannot be directly applied to the multi-condition, multi-parameter collaborative control requirements of pavers. Paver condition identification needs to consider multiple dimensions such as temperature, pressure, and speed, and must adapt to the differences in the physical properties of different paving materials. Existing technologies have not yet provided a mature solution, therefore, there is an urgent need to develop an intelligent condition identification system and method specifically for pavers. Summary of the Invention
[0004] The purpose of this invention is to provide a method and system for identifying the working conditions of pavers, which can acquire the temperature of the hopper area, the material conveying channel, and the screed area, automatically identify the working conditions of the paver without manual intervention, and combine hydraulic system pressure data and equipment travel speed data to adaptively generate paver control parameters so that the various actuators of the paver can work together efficiently, thereby solving the problems in the background art.
[0005] To solve the above-mentioned technical problems, the present invention is implemented using the following technical solution.
[0006] In a first aspect, the present invention provides a method for identifying the working condition of a paver, comprising: Acquire the feeding temperature in the hopper area, the conveying temperature in the conveying channel, the paving surface temperature in the screed area, the hydraulic system pressure data, and the equipment travel speed data; The average temperature Tavg of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated to obtain the temperature difference ΔT of each area. Based on the comparison results of the average temperature threshold and the corresponding regional temperature difference threshold of each area with the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature and the corresponding regional temperature difference ΔT of each area, the current working condition of the paver is identified; based on the comparison results of the pressure threshold and hydraulic system pressure data and the speed threshold and equipment travel speed data, the load and paving speed of the paver under the current working condition are identified. Based on the current working condition of the paver, its load, and paving speed, the system calls the corresponding control parameter combination from the preset parameter library to generate control commands, which are then sent to each actuator of the paver to adjust the vibration frequency of the paver screed assembly, the speed of the conveying auger, and the working parameters of the vibrating device, thereby achieving adaptive control of the working condition.
[0007] Optionally, the average temperature Tavg of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated, including: Obtain the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area from one or more detection points; The average values of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area at more than one detection point are calculated to obtain the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature.
[0008] Optionally, the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated to obtain the corresponding regional temperature difference ΔT for each region, including: Obtain the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area from one or more detection points; Find the upper and lower limits of the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area for more than one detection point. The upper and lower limits of the temperature of the feeding area, the conveying channel, and the paving surface in the screed area are calculated to obtain the temperature difference ΔT between the feeding area, the conveying channel, and the paving surface in each area.
[0009] Optionally, based on the comparison results of the average temperature threshold and the corresponding regional temperature difference threshold of each area with the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature and the corresponding regional temperature difference ΔT of each area, the current operating condition of the paver is identified, including: When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is greater than or equal to 135℃, and the temperature difference ΔT between each region of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 3℃, it is determined to be an asphalt working condition. When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 60℃, and the temperature difference ΔT between each region of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 3℃, it is determined to be a water-stabilized working condition. When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is greater than 60℃ and less than 135℃, it is determined to be a transitional working condition. When the feed temperature, conveying temperature, and paving surface temperature drop by more than 20℃ / min, it is considered an abnormal working condition.
[0010] Optionally, control commands can be generated by calling the corresponding combination of control parameters from the preset parameter library based on the current operating conditions of the paver, including: The corresponding control parameters under asphalt working conditions include: conveying screw speed range of 15-30 r / min, screed vibration frequency of 50-80 Hz, and heating power maintained at 85%-95% of rated power; The corresponding control parameters under water-stabilized working conditions include: the conveying screw speed range is 20-35 r / min, the screed vibration frequency is 40-60 Hz, and the heating power is turned off; The corresponding control parameters under the transition conditions include: the conveying screw speed and the screed vibration frequency are adjusted linearly according to the temperature gradient.
[0011] Optionally, control commands can be generated by calling the corresponding combination of control parameters from the preset parameter library based on the paver's current load and paving speed, including: When the load pressure of the paver under the current operating conditions exceeds 80% of the rated pressure, a command to adjust the conveyor screw speed is generated to increase the conveyor screw speed by 5%-10% based on the current conveyor screw speed. When the paver's current travel speed increases by more than 15% / s, an adjustment command is generated to adjust the vibration frequency and conveying speed so that the vibration frequency and conveying speed match the paving speed.
[0012] Optionally, it may also include acquiring a stop signal or a restart signal; The paver's parking status is identified based on parking signals; Based on the paver's parking conditions, the corresponding control parameter combination is called from the preset parameter library to generate a parking control command, which causes the paver to stop the material conveying auger according to the preset curve, synchronously adjust the vibration frequency to 20-30Hz, and record the current parking time. The starting condition of the paver is identified based on the restart signal, and the material temperature in the paved surface in the hopper area, conveying channel or screed area is recorded. During startup, the corresponding control parameter combination is retrieved from the preset parameter library based on the stopping time and material temperature to generate a startup control command.
[0013] Optionally, during startup, based on the stopping time and material temperature, the corresponding control parameter combination is retrieved from the preset parameter library to generate a startup control command, including: If the shutdown time is less than or equal to 10 minutes and the material temperature drop is less than or equal to 10℃, the control parameters before shutdown shall be used. If the stopping time is greater than 10 minutes or the material temperature drops by more than 10°C, gradually adjust the actuators of the paver according to the initial parameters of the corresponding working conditions, so that they can be restored to normal working parameters within 5-8 seconds.
[0014] In a second aspect, the present invention provides a working condition identification system suitable for pavers, comprising: Data acquisition unit, operating condition judgment unit, pattern matching unit, and application unit; The data acquisition unit is used to acquire the feeding temperature in the hopper area, the conveying temperature in the conveying channel, the paving surface temperature in the screed area, the hydraulic system pressure data, and the equipment travel speed data. The working condition judgment unit is used to calculate the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area to obtain the average temperature Tavg of the feeding temperature, conveying temperature, and paving surface temperature, as well as the corresponding regional temperature difference ΔT for each area. Based on the comparison results between the average temperature threshold and the corresponding regional temperature difference threshold and the average temperature Tavg and the corresponding regional temperature difference ΔT of the feeding temperature, conveying temperature, and paving surface temperature, the current working condition of the paver is identified. Based on the comparison results between the pressure threshold and the hydraulic system pressure data, and the speed threshold and the equipment travel speed data, the load and paving speed of the paver under the current working condition are identified. The pattern matching unit is used to generate control commands by calling the corresponding control parameter combination from the preset parameter library according to the current working condition of the paver, the load of the paver under the current working condition, and the paving speed. The application unit is used to send control commands to each actuator of the paver to adjust the vibration frequency of the paver screed assembly, the speed of the conveying auger, and the working parameters of the vibration device, so as to achieve adaptive control of working conditions.
[0015] Optionally, the data acquisition unit includes one or more temperature sensors arranged in the hopper area, the material conveying channel, and the screed area, a pressure sensor arranged in the hydraulic system, and a speed sensor installed on the paver.
[0016] Optionally, the hopper area is equipped with no fewer than three temperature sensors; The material conveying channel is uniformly arranged with no fewer than four temperature sensors along the conveying direction; The ironing plate area has at least 6 temperature sensors arranged in horizontal sections on the bottom plate of the ironing plate area. The temperature sensor is a PT100 platinum resistance sensor with a measurement accuracy of ±0.5℃, the pressure sensor has a measurement range of 0-35MPa, and the speed sensor has a measurement accuracy of ±0.1km / h.
[0017] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: 1. The temperature of the hopper area, conveying channel and screed area can be obtained automatically to identify the paver's working condition without manual intervention. Combined with hydraulic system pressure data and equipment travel speed data, the paver control parameters are adaptively generated so that the various actuators of the paver can work together efficiently, avoiding paving quality problems caused by human judgment errors and reducing the labor intensity of operators. 2. Based on the dynamic matching of control parameters according to the working condition type, the problem of parameter inaccuracy caused by fixed threshold control is solved, effectively avoiding the blockage of the auger distributor and material segregation, and improving the paving uniformity and flatness; 3. Dynamically adjust heating power and actuator parameters according to different operating conditions to reduce energy consumption by 15-20% and improve equipment energy efficiency; 4. Establish a linkage control mechanism for the material conveying, vibration, and ironing systems to enhance the coordination of each subsystem, adapt to complex construction scenarios, and improve work efficiency; 5. Integrates fault diagnosis functions and abnormal operating condition protection mechanisms to promptly detect and alert system faults, avoid equipment damage, and reduce maintenance costs. Attached Figure Description
[0018] Figure 1 This is a block diagram of the system structure of the present invention; Figure 2 This is a flowchart of the working condition identification method of the present invention; Figure 3 This is a schematic diagram of the temperature sensor array arrangement of the present invention; Figure 4 This is a diagram showing the mapping relationship of control parameters under different operating conditions in this invention.
[0019] In the diagram: 1. Hopper area, 2. Material conveying channel, 3. Screwboard bottom plate. Detailed Implementation
[0020] The present invention will be further described below with reference to the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention. Example
[0021] This embodiment provides a working condition identification system suitable for pavers, including: Data acquisition unit, operating condition judgment unit, pattern matching unit, and application unit; The data acquisition unit is used to acquire the feeding temperature of hopper area 1, the conveying temperature of conveying channel 2, the paving surface temperature of screed area, hydraulic system pressure data, and equipment travel speed data. The working condition judgment unit is used to calculate the feeding temperature of hopper area 1, the conveying temperature of conveying channel 2, and the paving surface temperature of screed area to obtain the average temperature Tavg of feeding temperature, conveying temperature, and paving surface temperature, as well as the corresponding regional temperature difference ΔT of each area; based on the comparison results of the average temperature threshold and the corresponding regional temperature difference threshold with the average temperature Tavg and the corresponding regional temperature difference ΔT of feeding temperature, conveying temperature, and paving surface temperature, the current working condition of the paver is identified; based on the comparison results of the pressure threshold with hydraulic system pressure data and the speed threshold with equipment travel speed data, the load and paving speed of the paver under the current working condition are identified; The pattern matching unit is used to generate control commands by calling the corresponding control parameter combination from the preset parameter library according to the current working condition of the paver, the load of the paver under the current working condition, and the paving speed. The application unit is used to send control commands to each actuator of the paver to adjust the vibration frequency of the paver screed assembly, the speed of the conveying auger, and the working parameters of the vibration device, so as to achieve adaptive control of working conditions.
[0022] In this embodiment, the temperature sensor array of the data acquisition unit uses PT100 platinum resistance sensors. Three sensors are arranged in the receiving hopper area 1, evenly distributed along the inner wall of the hopper; four sensors are arranged in the conveying channel 2, with a spacing of 50cm; the ironing plate bottom plate 3 is divided into three areas in the horizontal direction, with two sensors arranged in each area, for a total of six sensors. The measurement accuracy of all temperature sensors is ±0.5℃, and the acquisition frequency is dynamically adjusted from 1 to 10Hz. When the detected temperature change rate exceeds 5℃ / min, it automatically switches to the working condition trigger acquisition mode.
[0023] The pressure sensor is installed in the main oil circuit of the hydraulic system and the oil inlet chamber of the actuator cylinder. It has a measurement range of 0-35MPa and an accuracy of ±0.1MPa and is used to monitor the load status of the hydraulic system. The speed sensor is installed at the axle of the paver's traveling wheel and has a measurement accuracy of ±0.1km / h. It is used to obtain the equipment's traveling speed data.
[0024] The working condition judgment unit adopts a PLC controller with a built-in multi-parameter fusion algorithm program, which supports real-time data processing and rapid working condition judgment. The preset parameter library of the mode matching unit is stored in the controller's storage module, which includes the optimal control parameters for working conditions such as asphalt, water-stabilized, and transition, and supports importing historical construction data via USB interface for parameter optimization and updates.
[0025] The application unit is electrically connected to the drive modules of the ironing plate assembly, conveying screw, and vibrating device via an industrial bus to achieve precise execution of control parameters. The human-machine interaction unit adopts a 10-inch high-definition touch screen to display the working condition type, temperature distribution, pressure value, speed value, and working parameters of each actuator in real time. It supports manual adjustment of parameters and saving them to a custom parameter library. The fault diagnosis unit monitors the working status of each sensor and actuator in real time. When abnormal data or equipment failure is detected, it immediately displays the error code on the touch screen and activates a buzzer alarm.
[0026] In some possible implementations, the data acquisition unit includes one or more temperature sensors arranged in the hopper area 1, the conveying channel 2, and the screed area, a pressure sensor arranged in the hydraulic system, and a speed sensor located on the paver.
[0027] In this embodiment, the temperature of the asphalt mixture is monitored when it is unloaded from the transport vehicle into the paver to prevent excessively low or high temperatures from affecting the paving quality. Multiple temperature sensors are arranged in the conveying direction of the conveying channel 2 to detect the temperature uniformity of the mixture during the conveying and distribution process, avoiding uneven paving caused by localized temperature differences. Furthermore, multiple temperature sensors are installed in the screed area to monitor the actual temperature of the paved layer, preventing insufficient compaction due to excessively low temperatures, which could affect pavement durability.
[0028] In some possible implementation methods, such as Figure 3 The hopper area 1 shown has at least three temperature sensors. The material conveying channel 2 is uniformly arranged with no fewer than 4 temperature sensors along the conveying direction; The ironing plate base plate 3 in the ironing plate area is arranged with no less than 6 temperature sensors in a horizontal partition; The temperature sensor is a PT100 platinum resistance sensor with a measurement accuracy of ±0.5℃, the pressure sensor has a measurement range of 0-35MPa, and the speed sensor has a measurement accuracy of ±0.1km / h.
[0029] In some possible implementation methods, such as Figure 1The system also includes a human-machine interaction unit and a fault diagnosis unit. The human-machine interaction unit uses a high-definition touch screen to display operating parameters, system status, and support manual intervention. The fault diagnosis unit is used to monitor the status of acquisition channels such as temperature, pressure, and speed in real time, and generates error codes and prompts them through the human-machine interaction unit when abnormalities occur. Example
[0030] This embodiment provides a working condition identification method applicable to pavers, including: Step 1: Obtain the feeding temperature in the hopper area, the conveying temperature in the conveying channel, the paving surface temperature in the screed area, the hydraulic system pressure data, and the equipment travel speed data; Step 2: Calculate the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area to obtain the average temperature Tavg of the feeding temperature, conveying temperature, and paving surface temperature, as well as the corresponding temperature difference ΔT in each area. Step 3: Based on the comparison results of the average temperature threshold and the corresponding regional temperature difference threshold of each area with the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature and the corresponding regional temperature difference ΔT of each area, the current working condition of the paver is identified; based on the comparison results of the pressure threshold and hydraulic system pressure data and the speed threshold and equipment travel speed data, the load and paving speed of the paver under the current working condition are identified. Step 4: Based on the current working condition of the paver, the load and paving speed under the current working condition of the paver, the corresponding control parameter combination is called from the preset parameter library to generate control commands, and then sent to each actuator of the paver.
[0031] This implementation example Figure 2 As shown, after system initialization, the paver starts, and each sensor performs self-checks. The temperature sensor array begins collecting data at an initial frequency of 5Hz. The pressure and speed sensors start monitoring synchronously. The controller completes parameter library loading and algorithm initialization. The temperature sensor array collects real-time temperature data from the hopper, conveying channel, and screed bottom plate. After transmitting the data to the condition judgment unit, it calculates the average temperature Tavg and the temperature difference ΔT for each area. The temperature difference ΔT is the difference between the maximum and minimum values of the sensor data collected in each area, and the average temperature Tavg is the arithmetic mean of the data collected by all sensors. The pressure sensor collects hydraulic system pressure data, and the speed sensor collects equipment travel speed data. The condition judgment unit identifies the working condition based on a multi-parameter fusion algorithm. In some possible implementations, step 1 calculates the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area to obtain the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature, including: Obtain the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area from one or more detection points; The average values of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area at more than one detection point are calculated to obtain the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature.
[0032] In this embodiment, by setting up more than one temperature sensor in each area, the overall temperature of the hopper, conveying channel and screed area can be detected, which avoids the segregation or uneven temperature of the asphalt mixture during feeding, transportation and paving. A single sensor may not be able to reflect the true situation.
[0033] In some possible implementations, the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated to obtain the corresponding regional temperature difference ΔT for each region of feeding temperature, conveying temperature, and paving surface temperature, including: Obtain the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area from one or more detection points; Find the upper and lower limits of the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area for more than one detection point. The upper and lower limits of the temperature of the feeding area, the conveying channel, and the paving surface in the screed area are calculated to obtain the temperature difference ΔT between the feeding area, the conveying channel, and the paving surface in each area.
[0034] This embodiment assesses material temperature uniformity by acquiring the temperature difference between the hopper, conveying channel, and screed area. If the temperature difference is too large, it indicates that the mixture has undergone severe temperature segregation or stratification, affecting the paving quality. As the first quality checkpoint, when the temperature difference is too large, the system adjusts other process control parameters such as paving speed in a timely manner, thereby achieving overall adaptive control.
[0035] In some possible implementations, the current operating condition of the paver is identified based on the comparison results between the average temperature threshold and the corresponding regional temperature difference threshold of each area, and the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature, and the corresponding regional temperature difference ΔT of each area. This includes: When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is greater than or equal to 135℃, and the temperature difference ΔT between each region of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 3℃, it is determined to be an asphalt working condition. When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 60℃, and the temperature difference ΔT between each region of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 3℃, it is determined to be a water-stabilized working condition. When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is greater than 60℃ and less than 135℃, it is determined to be a transitional working condition. When the feed temperature, conveying temperature, and paving surface temperature drop by more than 20℃ / min, it is considered an abnormal working condition.
[0036] This embodiment dynamically identifies the paver's operating conditions and modes by acquiring the average temperature and temperature difference of each area in real time, and then dynamically controls the control parameters of each actuator of the paver.
[0037] In some possible implementations, control commands are generated by calling the corresponding combination of control parameters from a preset parameter library based on the current operating condition of the paver, including: The corresponding control parameters under asphalt working conditions include: conveying screw speed range of 15-30 r / min, screed vibration frequency of 50-80 Hz, and heating power maintained at 85%-95% of rated power; The corresponding control parameters under water-stabilized working conditions include: the conveying screw speed range is 20-35 r / min, the screed vibration frequency is 40-60 Hz, and the heating power is turned off; The corresponding control parameters under the transition conditions include: the conveying screw speed and the screed vibration frequency are adjusted linearly according to the temperature gradient.
[0038] The preset parameter library in this embodiment is constructed based on extensive testing by equipment users and manufacturers, and is set in accordance with general construction specifications. This eliminates quality fluctuations caused by differences in operator experience, ensuring consistently high construction quality. Simultaneously, all control decisions are documented and verifiable, facilitating quality analysis and process review. For example... Figure 4 As shown, the mapping relationship between different operating conditions and control parameters in this invention is as follows: Figure 4 It can be seen that the conveying screw speed, vibration frequency, and heating power all have a regular linear relationship with the working conditions; Figure 4Figure a shows the relationship between conveyor screw speed and operating conditions. Under asphalt, water-stabilized, and transitional operating conditions, the conveyor screw speeds are 15-30 r / min for asphalt, 20-35 r / min for water-stabilized, and 15-35 r / min for the transitional condition, respectively. The screw speed increases from the asphalt condition to the transitional and then to the water-stabilized condition. Figure b shows the relationship between vibration frequency and operating conditions. From the asphalt condition to the transitional condition, the blue area and curve represent the frequency range under water-stabilized conditions, the orange area and curve represent the frequency range under asphalt conditions, and the area where blue and orange intersect represents the frequency range under the transitional condition. Figure c shows the relationship between heating power and operating conditions. The asphalt and transitional conditions are represented by bar charts. Under asphalt conditions, the heating power is maintained at 85%-95% of the rated power; under the transitional condition, the heating power is maintained at 85% of the rated power; and under water-stabilized conditions, the heating power is off.
[0039] Furthermore, the preset parameter library in this embodiment allows operators to add and modify rules based on their commonly used materials, equipment, and process standards. Over long-term use, it automatically records parameter combinations under successful working conditions, continuously optimizing and enriching the parameters. The parameter library optimization and update mechanism is as follows: the preset parameter library supports optimization updates based on historical construction experience. Operators can import historical construction data (including working condition type, ambient temperature, material properties, control parameters, and paving quality test results) through the USB interface of the human-machine interface unit. The system automatically uses a weighted algorithm to adjust the control parameters in the parameter library, making the control parameters more closely match actual construction needs. For example, if, during multiple asphalt constructions under a certain ambient temperature, adjusting the conveyor screw speed to 25 r / min yields the optimal paving quality, the system will automatically update the optimal conveyor screw speed value under that temperature condition to 25 r / min.
[0040] In some possible implementations, control commands are generated by calling corresponding control parameter combinations from a preset parameter library based on the paver's current load and paving speed, including: When the load pressure of the paver under the current operating conditions exceeds 80% of the rated pressure, a command to adjust the conveyor screw speed is generated to increase the conveyor screw speed by 5%-10% based on the current conveyor screw speed. When the paver's current travel speed increases by more than 15% / s, an adjustment command is generated to adjust the vibration frequency and conveying speed so that the vibration frequency and conveying speed match the paving speed.
[0041] This embodiment, by real-time monitoring of pressure and speed, can make immediate adjustments to rapidly changing working conditions when hydraulic pressure and equipment travel speed are abnormal, thus ensuring the overall paving quality.
[0042] In some possible implementations, the method also includes acquiring a stop signal or a restart signal; The paver's parking status is identified based on parking signals; Based on the paver's parking conditions, the corresponding control parameter combination is called from the preset parameter library to generate a parking control command, which causes the paver to stop the material conveying auger according to the preset curve, synchronously adjust the vibration frequency to 20-30Hz, and record the current parking time. The starting condition of the paver is identified based on the restart signal, and the material temperature in the paved surface in the hopper area, conveying channel or screed area is recorded. During startup, the corresponding control parameter combination is retrieved from the preset parameter library based on the stopping time and material temperature to generate a startup control command.
[0043] In some possible implementations, during the start-up phase, a start-up control command is generated by retrieving the corresponding control parameter combination from a preset parameter library based on the stopping time and material temperature, including: If the shutdown time is less than or equal to 10 minutes and the material temperature drop is less than or equal to 10℃, the control parameters before shutdown shall be used. If the stopping time is greater than 10 minutes or the material temperature drops by more than 10°C, gradually adjust the actuators of the paver according to the initial parameters of the corresponding working conditions, so that they can be restored to normal working parameters within 5-8 seconds.
[0044] In this embodiment, considering the handling of special working conditions, after detecting a stop signal, the controller gradually reduces the conveyor screw speed to 0 within 3-5 seconds according to a preset curve, while adjusting the vibration frequency to 20-30Hz to prevent material accumulation and segregation. It records the current temperature distribution data, pressure data, and stop time. When restarting the equipment, the controller reads the stop time and the current material temperature. If the stop time is ≤10 minutes and the material temperature drop is ≤10℃, the control parameters before the stop are used, and the system gradually recovers to the normal working state according to the reverse curve. If the stop time is >10 minutes or the material temperature drop is >10℃, the initial parameters are called according to the currently determined working condition type, and the system gradually adjusts to the normal working parameters within 5-8 seconds. In addition, when a fault occurs, the fault diagnosis unit monitors the status of each acquisition channel and actuator in real time. When abnormal sensor data is detected (such as no signal from the temperature sensor or pressure data exceeding the measurement range) or the actuator fails to respond to control commands, the corresponding error code (such as temperature sensor fault code E01 or pressure sensor fault code E02) is displayed on the touch screen, and a buzzer alarm is activated. When an abnormal condition is determined, the emergency protection protocol is immediately triggered, controlling the screw conveyor to rise 5-10cm and stop material feeding. The control panel flashes a prompt, and all monitoring data at the time of the abnormality are recorded to facilitate fault diagnosis.
[0045] In summary, this invention can acquire the temperature of the hopper area, conveying channel, and screed area, automatically identifying the paver's operating conditions without manual intervention. Combined with hydraulic system pressure data and equipment travel speed data, it adaptively generates paver control parameters, enabling efficient collaborative operation of all paver actuators. This avoids paving quality issues caused by human error and reduces operator workload. Dynamically matching control parameters based on operating conditions solves the parameter inaccuracies caused by fixed threshold control, effectively preventing auger blockage and material segregation, and improving paving uniformity and smoothness. This invention dynamically adjusts heating power and actuator parameters according to different operating conditions, reducing energy consumption by 15-20% and improving equipment energy efficiency. Finally, this invention establishes a linkage control mechanism for the conveying, vibration, and screeding systems, enhancing the synergy of each subsystem, adapting to complex construction scenarios, and improving work efficiency. Simultaneously, it integrates fault diagnosis functions and abnormal operating condition protection mechanisms to promptly detect and alert to system faults, preventing equipment damage and reducing maintenance costs.
[0046] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0047] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0048] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0049] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0050] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.
Claims
1. A method for identifying the working conditions of a paver, characterized in that, include: Acquire the feeding temperature in the hopper area, the conveying temperature in the conveying channel, the paving surface temperature in the screed area, the hydraulic system pressure data, and the equipment travel speed data; The average temperature Tavg of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated to obtain the temperature difference ΔT of each area. Based on the comparison results of the average temperature threshold and the corresponding regional temperature difference threshold of each region with the average temperature Tavg of the feed temperature, conveying temperature and paving surface temperature and the corresponding regional temperature difference ΔT of each region, the current working condition of the paver is identified. Based on the comparison results of pressure threshold and hydraulic system pressure data, and speed threshold and equipment travel speed data, the load and paving speed of the paver under the current working conditions are identified. Based on the current working condition of the paver, its load, and paving speed, the system retrieves the corresponding control parameter combinations from the preset parameter library to generate control commands, which are then sent to each actuator of the paver to adjust the vibration frequency of the paver screed assembly, the speed of the conveying auger, and the working parameters of the vibration device.
2. The working condition identification method for pavers according to claim 1, characterized in that, The average temperature Tavg of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated, including: Obtain the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area from one or more detection points; The average values of the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area at more than one detection point are calculated to obtain the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature.
3. The working condition identification method for pavers according to claim 1, characterized in that, The feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area are calculated to obtain the corresponding regional temperature difference ΔT for each region, including: Obtain the feed temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area from one or more detection points; Find the upper and lower limits of the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area for more than one detection point. The upper and lower limits of the temperature of the feeding area, the conveying channel, and the paving surface in the screed area are calculated to obtain the temperature difference ΔT between the feeding area, the conveying channel, and the paving surface in each area.
4. The working condition identification method for pavers according to claim 1, characterized in that, Based on the comparison results of the average temperature threshold and the corresponding regional temperature difference threshold of each area with the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature and the corresponding regional temperature difference ΔT of each area, the current operating condition of the paver is identified, including: When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is greater than or equal to 135℃, and the temperature difference ΔT between each region of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 3℃, it is determined to be an asphalt working condition. When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 60℃, and the temperature difference ΔT between each region of the feed temperature, conveying temperature, and paving surface temperature is less than or equal to 3℃, it is determined to be a water-stabilized working condition. When the average temperature Tavg of the feed temperature, conveying temperature, and paving surface temperature is greater than 60℃ and less than 135℃, it is determined to be a transitional working condition. When the feed temperature, conveying temperature, and paving surface temperature drop by more than 20℃ / min, it is considered an abnormal working condition.
5. The working condition identification method for pavers according to claim 4, characterized in that, Based on the current operating conditions of the paver, control commands are generated by calling the corresponding combination of control parameters from the preset parameter library, including: The corresponding control parameters under asphalt working conditions include: conveying screw speed range of 15-30 r / min, screed vibration frequency of 50-80 Hz, and heating power maintained at 85%-95% of rated power; The corresponding control parameters under water-stabilized working conditions include: the conveying screw speed range is 20-35 r / min, the screed vibration frequency is 40-60 Hz, and the heating power is turned off; The corresponding control parameters under the transition condition include: the conveying screw speed and the screed vibration frequency are adjusted linearly according to the temperature gradient.
6. The working condition identification method for pavers according to claim 1, characterized in that, Based on the paver's current load and paving speed, control commands are generated by calling the corresponding control parameter combinations from the preset parameter library, including: When the load pressure of the paver under the current operating conditions exceeds 80% of the rated pressure, a command to adjust the conveyor screw speed is generated to increase the conveyor screw speed by 5%-10% based on the current conveyor screw speed. When the paver's current travel speed increases by more than 15% / s, an adjustment command is generated to adjust the vibration frequency and conveying speed so that the vibration frequency and conveying speed match the paving speed.
7. The working condition identification method for pavers according to claim 1, characterized in that, This also includes obtaining a stop signal or a restart signal; The paver's parking status is identified based on parking signals; Based on the paver's parking conditions, the corresponding control parameter combination is called from the preset parameter library to generate a parking control command, which causes the paver to stop the material conveying auger according to the preset curve, synchronously adjust the vibration frequency to 20-30Hz, and record the current parking time. The starting condition of the paver is identified based on the restart signal, and the material temperature in the paved surface in the hopper area, conveying channel or screed area is recorded. During startup, the corresponding control parameter combination is retrieved from the preset parameter library based on the stopping time and material temperature to generate a startup control command.
8. The working condition identification method for pavers according to claim 7, characterized in that, During startup, the system retrieves the corresponding control parameter combination from the preset parameter library based on the stopping time and material temperature to generate startup control commands, including: If the shutdown time is less than or equal to 10 minutes and the material temperature drop is less than or equal to 10℃, the control parameters before shutdown shall be used. If the stopping time is greater than 10 minutes or the material temperature drops by more than 10°C, gradually adjust the actuators of the paver according to the initial parameters of the corresponding working conditions, so that they can be restored to normal working parameters within 5-8 seconds.
9. A working condition identification system suitable for pavers, characterized in that, include: Data acquisition unit, operating condition judgment unit, pattern matching unit, and application unit; The data acquisition unit is used to acquire the feeding temperature in the hopper area, the conveying temperature in the conveying channel, the paving surface temperature in the screed area, the hydraulic system pressure data, and the equipment travel speed data. The working condition judgment unit is used to calculate the feeding temperature in the hopper area, the conveying temperature in the conveying channel, and the paving surface temperature in the screed area to obtain the average temperature Tavg of the feeding temperature, conveying temperature, and paving surface temperature, as well as the corresponding regional temperature difference ΔT for each area. Based on the comparison results between the average temperature threshold and the corresponding regional temperature difference threshold and the average temperature Tavg of the feeding temperature, conveying temperature, and paving surface temperature, as well as the corresponding regional temperature difference ΔT for each area, the current working condition of the paver is identified. Based on the comparison results of pressure threshold and hydraulic system pressure data, and speed threshold and equipment travel speed data, the load and paving speed of the paver under the current working conditions are identified. The pattern matching unit is used to generate control commands by calling the corresponding control parameter combination from the preset parameter library according to the current working condition of the paver, the load of the paver under the current working condition, and the paving speed. The application unit is used to send control commands to each actuator of the paver to adjust the vibration frequency of the paver screed assembly, the speed of the conveying auger, and the working parameters of the vibration device, so as to achieve adaptive control of working conditions.
10. The working condition identification system for pavers according to claim 9, characterized in that, The data acquisition unit includes one or more temperature sensors arranged in the hopper area, the material conveying channel, and the screed area, a pressure sensor arranged in the hydraulic system, and a speed sensor installed on the paver. The hopper area is equipped with no fewer than three temperature sensors. The material conveying channel is uniformly arranged with no fewer than four temperature sensors along the conveying direction; The ironing plate area has at least 6 temperature sensors arranged in horizontal sections on the bottom plate of the ironing plate area. The temperature sensor is a PT100 platinum resistance sensor with a measurement accuracy of ±0.5℃, the pressure sensor has a measurement range of 0-35MPa, and the speed sensor has a measurement accuracy of ±0.1km / h.