1. Introduction
The traditional hard hose traveler is water-saving irrigation equipment. It continuously operates with motion and sprinkling capabilities [
1]. It is suitable for large- and medium-sized field plots in Europe and central–eastern China [
2,
3,
4,
5]. To enhance the irrigator’s applicability in small field plots [
6] and its intelligence [
7], this paper proposed a self-propelled hard hose traveler with enhanced mobility. The self-propelled hard hose traveler uses an electric tracked vehicle to carry the sprinkler for slope climbing and directional irrigation. The proposed traveler adjusts the speed through a remote terminal at different levels depending on the application depth, providing a novel approach for water-saving irrigation equipment.
Sprinkler irrigation machines primarily operate by moving in a straight path for irrigation purposes [
8,
9,
10]. However, studies comparing the application scenarios of single-sprinkler and double-sprinkler layouts remain limited. In the double-sprinkler layout, each sprinkler irrigates one side of the motion path. Each side may use a different sprinkler type or pressure, depending on how far the path is from the field edge or how far each sprinkler can spray. Xu et al. [
11] used a double-sprinkler layout and developed a model to calculate water volume on one side of the motion path, where irrigation was limited to that side only. To optimize irrigation efficiency and minimize the sprinkler’s path within the field, the area covered in a single motion should be maximized. It requires the radiation length of the sprinkler to match its effective range. Additionally, the rotation angle of the sprinkler in the calculation model is set between the range of 90° and 180°. Conversely, a single-sprinkler layout irrigates both sides of the motion path, with the irrigation range extending symmetrically. According to the Chinese standards for rotating sprinklers [
12], when the inlet flow rate is the same, the range of a single-sprinkler outlet (in a single-sprinkler layout) is greater than that of two sprinkler outlets (in a double-sprinkler layout). The irrigation area covered in a single move by a single-sprinkler layout is larger than that of a double-sprinkler layout. This can effectively reduce the proportion of paths within the same field and increase the planting area, thereby generating more income for farmers. Zhu et al. [
13], Ge et al. [
14], and Zhao et al. [
15] have found that a longer sprinkler range can effectively enhance the irrigation area covered. To maximize the irrigation area covered in a single move by a single-sprinkler layout, the rotation angle of the sprinkler is selected within the range of 180–360°. Single-sprinkler and double-sprinkler layouts differ in their irrigation range and rotation angle of the sprinkler. Consequently, the water volume superposition calculation model for the single-sprinkler layout needs to be reconstructed.
Water application performance is crucial for the quality of the irrigation system [
14]. The application depth and
CU value are influential metrics for evaluating the water application performance of traditional hard hose travelers [
16]. The application depth depends on the crop water requirement and significantly impacts crop yield [
17]. The American Society of Civil Engineers recommends
CU value as a key indicator for evaluating the distribution of sprinkler water application depth [
18]. The technical code for sprinkler engineering in China defines the
CU value as the ratio of the sum of the absolute deviations of the application depth at each measurement point from the average application depth to the total application depth [
19,
20]. Therefore, the application depth and
CU value are crucial for evaluating the sprinkler performance of a self-propelled hard hose traveler with a single-sprinkler motion in a straight line.
Currently, research on water application performance mainly focuses on computational models [
21,
22,
23] and experimental outcomes [
5,
24,
25]. Wang et al. [
26] proposed a jet-impact rotating sprinkler by combining jet and impact flows. They studied the performance of sprinkler water application through experimental methods. Gao et al. [
27] used Teejet atomizing nozzles. They explored the influence of equivalent diameter, installation height, and working pressure on the water application performance of atomizing nozzles through experimental analysis and theoretical calculations. Gao et al. [
28] investigated the impact of installation height and working pressure on the performance of water applications using atomizing nozzles, employing computational models and experiments.
Numerous studies have demonstrated the relationship between operating conditions and water application performance using both computational and experimental methods in the irrigator field. Wu [
29] and Bittinger et al. [
30] utilized computational models to simplify the radial water distribution lines of sprinklers into regular shapes, such as triangles and ellipses, with time as the dependent variable. The
CU value can be calculated by integrating this formulation. However, this simplification method for evaluating radial lines lacks accuracy. Smith et al. [
31] and Wiggington et al. [
32] investigated the
CU value of a single traditional hard hose traveler used in the field. They found an average
CU value of 62%, indicating poor performance. Therefore, they researched the combination of irrigation with sprinkler motion using traditional hard hose travelers. Ge et al. [
33,
34] represented traditional hard hose travelers’ radial water distribution lines using cubic spline interpolation, Lagrange interpolation, and polynomial fitting. They analyzed multiple rotation angles and path spacings using computational models. They found that the optimal sprinkler rotation angle is 240°–320°, the combination spacings are 1.5–1.7
R, and the
CU value is greater than 85%. Ge et al. measured the fixed-spray radial water distribution lines. They observed that the selected nodes were relatively sparse. Hills et al. [
35] used computations and experimentation to find that when a linear-move sprinkler system operates at 10–100% of its maximum speed, the
CU value ranges from 92 to 96%. When the
CU value slightly decreases, there is a good correlation between average application depth and motion speed. Li et al. [
36] observed that the
CU value of a center-pivot sprinkler system slightly decreased with increased speed. The published studies on computational and experimental methods have shown that sprinkler rotation angle, path spacing, and sprinkler motion speed significantly impact the irrigator’s average application depth and
CU value.
This study employed cubic spline interpolation curves to determine the CU value for single-sprinkler linear-move irrigation, considering several water applications of the motion sprinkler and the radial application depth per revolution. This study investigated the water application performance of a sprinkler as it moves along a specific path, combining irrigation with sprinkler motion. This study examined the effects of nozzle diameter, motion speed, and sprinkler rotation angle as design variables.
2. Structure and Operating Principle of the Self-Propelled Hard Hose Traveler
A remote terminal operates the self-propelled hard hose traveler. It primarily comprises the reel cart, polyethylene tube, electric-tracked vehicle, impact sprinkler, and an integrated motor–gearbox system, as shown in
Figure 1. The electric-tracked vehicle employs a crawler structure with sprinkler heads. The electric-tracked vehicle uses a crawler structure to increase the traction with the sprinkler heads mounted on top of the vehicle.
Figure 2 shows a prototype of the self-propelled hard hose traveler. This study utilizes the reel cart from the JP50-180 model of a traditional hard hose traveler. Due to the limitation of the maximum economic flow velocity in the tube, the maximum flow rate is 19.7 m
3 h
−1.
The reel truck allows the polyethylene tube to unfold, store, and retract. The electric-tracked vehicle is characterized by its maneuverability and flexible walking. The vehicle loads impact sprinklers, changing the irrigation position, unfolding the polyethylene tube, and guiding. The motor–gearbox system provides power to retract the polyethylene tub. During sprinkling irrigation, the reel truck is stored at the water source. The electric-tracked vehicle moves away from the hose reel cart, pulls out the polyethylene tube, and performs mobile sprinkling irrigation. The polyethylene tube disintegrates from the electric-tracked vehicle at the end of the sprinkling irrigation operation. The motor–gearbox system drives the reel to rotate and retract the polyethylene tube. Then, the electric-tracked vehicle is transferred to the next sprinkling point. The self-propelled hard hose traveler achieves multi-directional irrigation by synchronizing the rotation of the two motors in the electric-tracked vehicle.
4. Experimental Validation of the Average Application Depth
In this study, grid layout measurement points were used for the experiments, with water buckets arranged in a 1.5 m × 1.5 m formation, as shown in
Figure 5. The experiment was conducted at the Lizhong Agricultural Machinery Cooperative in Huantai County, Zibo, China. The experiment utilized an electrically tracked vehicle with sprinklers to achieve a speed of 15 m h
−1. After the sprinkler irrigation experiment, the radial lines of the columns were averaged. This average was taken as an experimental value. The experimental parameters were considered using the reel cart model JP50-180, a 40PY
2 impact sprinkler with a nozzle diameter of 16.0 × 6.0 mm, a flow rate of 19.7 m
3 h
−1, a sprinkler rotation angle of 240°, a sprinkler installation height of 1.3 m, a plastic bucket diameter of 200 mm, and a plastic bucket height of 170 mm. Environmental parameters were characterized by gusty winds with a speed range of 1.23–2.55 m s
−1, maintaining an air temperature of 12.3 °C and an air relative humidity of 24.82%.
Figure 5 shows the comparison of the experimental and the calculated values.
Figure 6 shows the calculated and experimental application depth curves for motion sprinkler irrigation, with an average application depth of 23.3 mm and 25.3 mm, respectively. The deviation rate is 8.6%, indicating that the calculated values of application depth are mostly accurate. When comparing the two curves, experimental values are higher than the calculated values. A slight deviation on the curve was observed at the 12-meter point, where the values were 30.5 mm and 29.7 mm, resulting in a deviation rate of 2.7%. The maximum deviation was found at the 28.5-meter point, where the values were 3.4 mm and 2.0 mm, resulting in a deviation rate of 70.0%. The wind speed and direction influence significant deviations at points on the two curves. Xu et al. [
45] and Chang et al. [
46], through research on sprinkler combination irrigation, discovered that the evaporation and drift loss amounted to approximately 5% at an average wind speed of 1 m s
−1, while the deviation rate of the
CU value under wind speeds ranged from 0 to 5.8%. Overall, the accuracy of experimental values is controllable.
6. Results and Discussion
When the sprinkler moves along a specific path and is used in combined irrigation with sprinkler motion, the optimal
CU values are approximately 75% and 90%. It provides good evidence supporting the conclusions drawn by Smith and Wigginton et al. [
31,
32] (62%), as well as the findings of Ge et al. [
33,
34] (which exceeded 85%). The sprinkling effect of the sprinkler moving along a specific path is shown in
Figure 10, with a nozzle diameter of 16.0 × 6.0 mm, a moving speed of 15 m h
−1, and a sprinkler rotation angle of 180°.
Figure 11 shows the effect of combined irrigation with sprinkler motion with a path spacing of 1.6
R.
Figure 11 shows improved application depth uniformity as compared to
Figure 10, which is attributed to the overlapping of the trough values in the moving irrigation water volume curve. Combining irrigation with sprinkler motion suits conventional sprinkling operations, while motion along a specific path is used for irrigation in irregular areas. This study indicates that the nozzle diameter and sprinkler motion speed have no significant effects on the
CU value, with the optimal range being 180–240° for the sprinkler rotation angle. It aligns with the conclusion of Hills and Li et al. [
35,
36], which showed that slight changes in movement speed alter the CU distribution, but differs from the findings of Ge et al. [
33,
34], who identified 240° to 320° as the optimal range for the sprinkler rotation angle. This is mainly caused by different radial water distribution curves produced by various sprinklers. The distances from the peaks and troughs of these varying radial water distribution curves to the sprinklers differ, and so do the differences between the peak and trough values.
From the technical code for sprinkler engineering, the highest
CU value is approximately 95%, with a nozzle diameter of 16.0 × 6.0 mm
2, a sprinkler rotation angle of 180°, and a path spacing of 1.6 R.
Table 7 summarizes the hydraulic parameters of the self-propelled hard hose traveler when the
CU value is greater than or equal to 85%, showing key guidance for farmers in operating this sprinkler.
7. Conclusions
This study investigated the hydraulic performance of a self-propelled hard hose traveler with a single-sprinkler arrangement (40PY2 impact sprinkler). The impact of nozzle diameter, sprinkler motion speed, sprinkler rotation angle, and path spacing on average application depth, as well as the CU values, are investigated through numerical modeling and experimentation. This study developed parameter configuration schemes to guide field operations and help fill the gap in the water volume superposition calculation model for the single-sprinkler layout. The specific conclusions of this study are as follows:
(1) A uniformity model for single-sprinkler linear-move irrigation was established. The deviation rate between calculated and experimental values was 7.3% in experimental validation.
(2) The CU value is affected by nozzle diameter and motion speed, exhibiting an oscillating trend with changes in path spacing. When moving along a specific path, the CU value first increased from 69.2% to 80.0% and then decreased to 68.7% as the sprinkler rotation angle increased. When irrigation and sprinkler motion are combined, the CU value at 1.5R initially decreased from 92.1% to 72.9%, then increased to 84.2% with increased sprinkler rotation angle. The average application depth decreases with increased sprinkler motion speed and path spacing and remains unaffected by the sprinkler rotation angle. Defining the variation in average application depth with nozzle diameter is challenging.
(3) The effect of combined irrigation with sprinkler motion is significantly better than that of moving along a specific path, with optimal CU values around 90% and 75%. This study provided parametric configurations for self-propelled hard hose travelers using combined irrigation with sprinkler motion. The highest CU value is 95.0%, with a parameter configuration of a nozzle diameter of 16.0 × 6.0 mm, a sprinkler rotation angle of 180°, and a path spacing of 1.6 R.
The irrigation performance of self-propelled hard hose travelers has been thoroughly studied. Future research will focus on path planning for cooperative irrigation among multiple sprinkler irrigators to achieve comprehensive irrigation (CU ≥ 85%) across complex and diverse field layouts, thereby reducing operational and management costs.
In future work, drone aerial photography will be used to create an image-based model. Key information about field plots will be extracted based on the spectral and local texture characteristics of the image model. Image features will be classified using the Bag-of-Words (BoW) model, and the resulting data will be used to train a Support Vector Machine (SVM) classifier for automatically constructing a multi-agent operating space.
Secondly, using the constraints and aiming to optimize factors will be applied to continuously link the existing static paths in the fields. Heuristic search algorithms will be used to develop decision-making strategies for the dynamic paths of multiple agents. An effective static path network for collaborative sprinkling by sprinkler robots (self-propelled hard hose travelers) will be established to achieve global path planning and enhance the intelligence level of the sprinkler system and equipment.
Finally, leveraging a multi-agent distributed consensus-based cooperative scheduling algorithm, a dynamic scheduling strategy will be formulated. Under multi-objective constraints, global and local optimal consistency in field plot sprinkler operations will be achieved, thereby improving the operational efficiency and comprehensive performance of the agent system.