An information collection system for intelligent reclamation equipment
Through the information collection system of the intelligent reclamation equipment, the motor operation power and soil image data are monitored, and the soil quality model is constructed, which solves the problem of insufficient soil analysis of intelligent reclamation equipment, and improves the adaptability and economic management of farmland planting.
Patent Information
- Application Number
- CN202410491608.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-23
- Publication Date
- 2025-04-11
- Estimated Expiration
- 2044-04-23
AI Technical Summary
Intelligent reclamation equipment lacks soil analysis capabilities in the process of reclamation of farmland soil, and cannot provide data references to support soil management and sowing crop selection, which affects the rationality of economic management of farmland planting.
An information collection system for intelligent reclamation equipment is designed, including control terminals, acquisition modules, construction modules, identification modules, feedback modules and analysis modules. By monitoring the motor running power and soil image data, a reclamation area model is constructed, characteristic information is identified and feedback, and soil quality is analyzed.
A comprehensive analysis of soil quality in the reclamation area was achieved, data reference was provided for farmland planting, and the rationality of farmland planting was improved.
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Figure CN118365273B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of intelligent reclamation equipment, and in particular to an information collection system for intelligent reclamation equipment. Background Art
[0002] Intelligent reclamation equipment is a type of automated agricultural equipment. Its main function is to open up and reclaim the soil to be reclaimed in a specified depth, width and direction. It has replaced manual reclamation to a large extent, making the reclamation efficiency of farmland soil higher and the reclamation effect better.
[0003] However, the research and development direction of intelligent reclamation equipment often focuses on reclamation efficiency, reclamation effect and intelligent control of equipment, but ignores the soil quality analysis of the cultivated land by intelligent reclamation equipment during the reclamation process.
[0004] It can be seen from this that intelligent reclamation equipment cannot provide users with data references to manage the soil quality of reclaimed farmland, or select suitable sowing crops based on the soil quality of reclaimed farmland, so as to improve the rationality of economic management of farmland planting. Summary of the invention
[0005] In view of the above-mentioned shortcomings of the prior art, the present invention provides an information collection system for intelligent reclamation equipment, which solves the technical problems raised by the above-mentioned background technology.
[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions:
[0007] An information collection system for intelligent reclamation equipment, comprising:
[0008] The control terminal is the main control end of the system and is used to issue execution commands; the acquisition module is used to acquire the reclamation equipment operation status information; the construction module is used to acquire the reclamation equipment operation status information acquired by the acquisition module and to build a reclamation equipment reclamation area model based on the reclamation equipment operation status information; the identification module is used to receive the reclamation equipment operation status information acquired in the acquisition module and to identify the characteristic information in the reclamation equipment operation status information; the feedback module is used to acquire the characteristic information in the reclamation equipment operation status information identified in the identification module, to feed back the characteristic information to the reclamation equipment reclamation area model and to acquire the corresponding position of the characteristic information in the model; the analysis module is used to receive the corresponding position of the characteristic information acquired in the feedback module in the model and to analyze the density of the corresponding position of the characteristic information in the model based on the corresponding position of the characteristic information in the model;
[0009] The control terminal is electrically connected to the acquisition module through a medium, the acquisition module is electrically connected to the monitoring unit and the camera module at a lower level through a medium, the acquisition module is electrically connected to the positioning unit through a medium, the acquisition module is electrically connected to the construction module through a medium, the construction module is electrically connected to the positioning unit through a medium, the construction module is electrically connected to the reading unit at a lower level through a medium, and the identification module is electrically connected to the feedback module and the analysis module through a medium.
[0010] Furthermore, the acquisition module is provided with submodules at the lower level, including:
[0011] A monitoring unit, used to monitor the operating power of the loading motor of the reclamation equipment in real time;
[0012] A camera module for collecting image data of soil being reclaimed by reclamation equipment;
[0013] Among them, the monitoring unit monitors the operating power of the reclamation equipment loading motor and the camera module collects the reclamation equipment reclamation soil image data, that is, the reclamation equipment operating status information collected by the acquisition module. The acquisition module runs synchronously under the operating status of the reclamation equipment.
[0014] Furthermore, the acquisition module is internally provided with submodules, including:
[0015] A positioning unit, used to locate the position information of the reclamation equipment in real time;
[0016] Among them, the position information of the reclamation equipment located in real time by the positioning unit, the operating power of the motor loaded with the reclamation equipment monitored by the monitoring unit, and the collection of the reclamation soil image data of the reclamation equipment collected by the camera module are recorded as the operation status information of the reclamation equipment collected by the acquisition module. The positioning unit is set with an operation cycle. The positioning unit runs in real time based on the set operation cycle. During each operation, the position information of the reclamation equipment is acquired. When the construction module is in operation, the position information located by the positioning unit based on the operation cycle is acquired in the positioning unit, and each group of position information is connected in sequence based on the positioning time to form a linear figure composed of several groups of line segments. The linear figure composed of several groups of line segments is the reclamation area model of the reclamation equipment constructed in the construction module.
[0017] Furthermore, the reclamation equipment runs and moves in the reclamation area. After constructing the reclamation area model of the reclamation equipment, the construction module marks the endpoints of each line segment in the model with corresponding positioning timestamps, and determines the position information of any position on the line segment and the corresponding timestamp of any position information based on the position information of the two end endpoints of the line segment in each group of reclamation area models of the reclamation equipment and the corresponding positioning timestamps of the two groups of position information.
[0018] Furthermore, after the acquisition module acquires the reclamation equipment operation status information, it synchronously stores the reclamation equipment operation status information. In the operation stage of the recognition module, the following are obtained from the reclamation equipment operation status information stored in the acquisition module: the operation power of the reclamation equipment loading motor monitored by the monitoring unit and the reclamation soil image data of the reclamation equipment collected by the camera module. The operation power of the reclamation equipment loading motor monitored by the monitoring unit and the reclamation soil image data of the reclamation equipment collected by the camera module are used as the feature information recognition targets. The recognition module is provided with submodules at the lower level, including:
[0019] A reading unit is used to obtain the reclamation equipment operation status information received in the identification module, and use the operation power of the reclamation equipment loading motor in the reclamation equipment operation status information to generate a visualization graph of the operation power of the reclamation equipment loading motor;
[0020] Among them, the visualization graph of the operating power of the loading point of the reclamation equipment generated in the reading unit, that is, the line graph with the horizontal axis representing time and the vertical axis representing the motor operating power, the recognition module runs after the visualization graph of the operating power of the motor loaded with the reclamation equipment is generated in the reading unit, and recognizes the characteristic information of the operating power of the motor loaded with the reclamation equipment in the operating status information of the reclamation equipment based on the visualization graph of the operating power of the motor loaded with the reclamation equipment.
[0021] Furthermore, in the reclamation equipment operation status information, the characteristic information of the operation power of the motor loaded by the reclamation equipment is expressed as:
[0022]
[0023] Where: n is the total operating power of the motors loaded on the reclamation equipment; p i is the power value of the motor operating power of the i-th group of reclamation equipment; p max is the maximum power value; p min is the minimum power value; λ is the decision factor;
[0024] in, Table pair The average, The table comes from p in the set n max With p min The average value of the decision factor λ>0, and is manually set by the system end user, the above formula is established, then p maxis the only characteristic information in set n, otherwise there is no characteristic information in set n. The operating power of the motor loaded with the reclamation equipment in the operating status information of the reclamation equipment is expressed as (p1, p2, p3, p4, ...). When the above formula is run for the first time, (p1, p2, p3) is used as n, and when the above formula is run for the second time, (p1, p2, p3, p4) is used as n. When the above formula is run for the third time, (p1, p2, p3, p4, p5) is used as n, and so on, until (p1, p2, p3, p4, ...) All the operating powers of the motors loaded with the reclamation equipment are involved in the above calculation.
[0025] Furthermore, the characteristic information in the reclamation equipment operation status information identified in the identification module includes: characteristic information of the operation power of the reclamation equipment loading motor and characteristic information of the reclamation equipment reclamation soil image data. The characteristic information recognition logic of the reclamation equipment reclamation soil image data is expressed as:
[0026]
[0027] Where: δ is the complexity of the information in the image data of the reclamation equipment reclaiming soil; p(j) is the probability of pixel value j appearing in the image data of the reclamation equipment reclaiming soil; k(p) max k(p) is the maximum pixel gray value in the image data of the cultivated soil by the reclamation equipment; min is the minimum pixel gray value in the image data of the reclamation equipment cultivating soil; G is the average gray value of the image data of the reclamation equipment cultivating soil;
[0028] Among them, a judgment threshold is set in the recognition module, and the judgment threshold is compared with the value obtained by the above formula. The complexity level δ within the judgment threshold corresponds to the reclamation equipment soil image data is judged as a feature image, and the feature image is the feature information of the reclamation equipment soil image data.
[0029] Furthermore, the reclamation equipment is equipped with two groups of motors, one group of motors is used to provide movement power, and the other group of motors is used to provide reclamation power. The operating power of the motors loaded on the reclamation equipment monitored in the system is the operating power of the motors used to provide reclamation power.
[0030] Furthermore, the feedback module feeds back the characteristic information to the reclamation area model of the reclamation equipment, that is, obtains the position information corresponding to the time stamp of each set of characteristic information acquisition in the reclamation area model of the reclamation equipment, and the analysis module runs, based on the corresponding position of the characteristic information in the model, analyzes the density of the corresponding position of the characteristic information in the model, and determines it according to the size and number of the spacing between the corresponding positions of the characteristic information in the model;
[0031] Among them, the higher the density of the characteristic information at the corresponding position in the model, the better the soil quality of the area being reclaimed by the reclamation equipment, and vice versa, the worse the soil quality of the area being reclaimed by the reclamation equipment.
[0032] Compared with the known public technology, the technical solution provided by the present invention has the following beneficial effects:
[0033] The present invention provides an information collection system for intelligent reclamation equipment. During operation, the system further collects and analyzes parameter information of the reclamation area of the reclamation equipment through the operating status parameters of the reclamation equipment. In the analysis stage, the system combines the operating status of the reclamation equipment motor and the feature information existing in the reclamation soil image data to comprehensively analyze the soil conditions of the reclamation area of the reclamation equipment. During the soil reclamation process, the system completes the soil analysis of the reclamation area, provides further data reference for system users, effectively provides adaptive planning for planting in the reclamation area, and maintains the rationality of economic management of farmland planting. BRIEF DESCRIPTION OF THE DRAWINGS
[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0035] Figure 1 It is a structural schematic diagram of an information collection system for intelligent reclamation equipment;
[0036] The numbers in the figure represent: 1. control terminal; 2. acquisition module; 21. monitoring unit; 22. camera module; 23. positioning unit; 3. construction module; 4. recognition module; 41. reading unit; 5. feedback module; 6. analysis module. DETAILED DESCRIPTION
[0037] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0038] The present invention will be further described below in conjunction with the embodiments.
[0039] Embodiment 1:
[0040] An information collection system for intelligent reclamation equipment in this embodiment, such as Figure 1 As shown, including:
[0041] Control terminal 1 is the main control terminal of the system and is used to issue execution commands;
[0042] Collection module 2, used to collect reclamation equipment operation status information;
[0043] The acquisition module 2 is provided with submodules at the lower level, including:
[0044] Monitoring unit 21, used for real-time monitoring of the operating power of the loading motor of the reclamation equipment;
[0045] A camera module 22 is used to collect image data of the soil being reclaimed by the reclamation equipment;
[0046] Among them, the operating power of the reclamation equipment loading motor monitored by the monitoring unit 21 and the reclamation equipment reclamation soil image data collected by the camera module 22 are the reclamation equipment operation status information collected by the acquisition module 2, and the acquisition module 2 operates synchronously with the reclamation equipment operation status;
[0047] The acquisition module 2 is internally provided with submodules, including:
[0048] A positioning unit 23, used for real-time positioning of the location information of the reclamation equipment;
[0049] Among them, the location information of the reclamation equipment located in real time by the positioning unit 23, the operating power of the motor loaded by the reclamation equipment monitored by the monitoring unit 21, and the collection of the reclamation soil image data of the reclamation equipment collected by the camera module 22 are recorded as the reclamation equipment operation status information collected by the acquisition module 2. The positioning unit 23 is set with an operation cycle. The positioning unit 23 runs in real time based on the set operation cycle. During each operation, the location information of the reclamation equipment is acquired. When the construction module 3 is in operation, the location information located by the positioning unit 23 based on the operation cycle is acquired in the positioning unit 23, and each group of location information is connected in sequence based on the positioning time to form a linear graph composed of several groups of line segments. The linear graph composed of several groups of line segments is the reclamation area model of the reclamation equipment constructed in the construction module 3.
[0050] A construction module 3 is used to obtain the reclamation equipment operation status information collected by the collection module 2, and to construct a reclamation area model of the reclamation equipment based on the reclamation equipment operation status information;
[0051] The identification module 4 is used to receive the reclamation equipment operation status information collected by the collection module 3 and identify the characteristic information in the reclamation equipment operation status information;
[0052] After collecting the reclamation equipment operation status information, the acquisition module 2 stores the reclamation equipment operation status information synchronously. In the operation stage of the recognition module 4, the following are obtained from the reclamation equipment operation status information stored in the acquisition module 2: the operation power of the reclamation equipment loading motor monitored by the monitoring unit 21 and the reclamation equipment reclamation soil image data collected by the camera module 22. The operation power of the reclamation equipment loading motor monitored by the monitoring unit 21 and the reclamation equipment reclamation soil image data collected by the camera module 22 are used as the feature information recognition targets. The recognition module 4 is provided with submodules at the lower level, including:
[0053] The reading unit 41 is used to obtain the reclamation equipment operation status information received in the identification module 4, and use the operation power of the reclamation equipment loading motor in the reclamation equipment operation status information to generate a visualization graph of the operation power of the reclamation equipment loading motor;
[0054] Among them, the visual graph of the operating power of the loading point of the reclamation equipment generated in the reading unit 41, that is, the horizontal axis represents time, and the vertical axis represents the line graph of the motor operating power, the recognition module 4 is operated after the visual graph of the operating power of the motor loaded with the reclamation equipment is generated in the reading unit 41, and the characteristic information of the operating power of the motor loaded with the reclamation equipment is recognized in the operating state information of the reclamation equipment based on the visual graph of the operating power of the motor loaded with the reclamation equipment;
[0055] Feedback module 5, used to obtain characteristic information in the reclamation equipment operation status information identified in identification module 4, feed back the characteristic information to the reclamation area model of the reclamation equipment, and obtain the corresponding position of the characteristic information in the model;
[0056] An analysis module 6 is used to receive the corresponding position of the feature information in the model obtained by the feedback module 5, and analyze the density of the corresponding position of the feature information in the model based on the corresponding position of the feature information in the model;
[0057] The control terminal 1 is electrically connected to the acquisition module 2 through a medium, the acquisition module 2 is electrically connected to the monitoring unit 21 and the camera module 22 through a medium, the acquisition module 2 is electrically connected to the positioning unit 23 through a medium, the acquisition module 2 is electrically connected to the construction module 3 through a medium, the construction module 3 is electrically connected to the positioning unit 23 through a medium, the construction module 3 is electrically connected to the reading unit 41 through a medium, and the identification module 4 is electrically connected to the feedback module 5 and the analysis module 6 through a medium.
[0058] In this embodiment, the control terminal 1 controls the acquisition module 2 to run and collect the operation status information of the reclamation equipment, the monitoring unit 21 synchronously and in real time monitors the operation power of the motor loaded with the reclamation equipment, the camera module 22 is post-operated to collect the image data of the reclamation soil of the reclamation equipment, the positioning unit 23 synchronously and in real time locates the position information of the reclamation equipment, and then the construction module 3 obtains the operation status information of the reclamation equipment collected by the acquisition module 2, and constructs the reclamation area model of the reclamation equipment based on the operation status information of the reclamation equipment, the recognition module 4 further receives the operation status information of the reclamation equipment collected in the acquisition module 3, identifies the feature information in the operation status information of the reclamation equipment, and the reading unit 4 1 synchronously obtains the reclamation equipment operation status information received in the recognition module 4, applies the reclamation equipment loading motor operation power in the reclamation equipment operation status information, generates a visualization graph of the reclamation equipment loading motor operation power, and finally obtains the feature information in the reclamation equipment operation status information identified in the recognition module 4 through the feedback module 5, feeds the feature information back to the reclamation area model of the reclamation equipment, obtains the feature information at the corresponding position in the model, and the analysis module 6 receives the feature information obtained in the feedback module 5 at the corresponding position in the model in real time, and analyzes the density of the feature information at the corresponding position in the model based on the feature information at the corresponding position in the model;
[0059] Through the operation of the system in the above embodiment, a comprehensive analysis is performed on the soil conditions of the reclamation area of the reclamation equipment. During the soil reclamation process, the soil analysis of the reclamation area is completed, which provides the system with an effective planning reference for the reclamation area and maintains the rationality of the economic management of farmland planting.
[0060] Embodiment 2:
[0061] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The information collection system of an intelligent reclamation equipment in Example 1 is further described in detail:
[0062] The reclamation equipment moves in the reclamation area. After constructing the reclamation area model of the reclamation equipment, the construction module 3 marks the endpoints of each line segment in the model with corresponding positioning timestamps, and determines the position information of any position on the line segment and the corresponding timestamp of any position information based on the position information of the two end endpoints of the line segment in each group of reclamation area models of the reclamation equipment and the corresponding positioning timestamps of the two groups of position information.
[0063] Through the above settings, a logic for obtaining the corresponding time of any position in the reclamation area model of the reclamation equipment is provided, and thereby necessary operation data support is provided for the operation of subsequent modules in the system.
[0064] like Figure 1 As shown, in the reclamation equipment operation status information, the characteristic information of the operation power of the motor loaded by the reclamation equipment is expressed as:
[0065]
[0066] Where: n is the total operating power of the motors loaded on the reclamation equipment; p i is the power value of the motor operating power of the i-th group of reclamation equipment; p max is the maximum power value; p min is the minimum power value; λ is the decision factor;
[0067] in, Table pair The average, The table comes from p in the set n max With p min The average value of the decision factor λ>0, and is manually set by the system end user, the above formula is established, then p max is the only characteristic information in set n, otherwise there is no characteristic information in set n. The operating power of the motor loaded with the reclamation equipment in the operating status information of the reclamation equipment is expressed as (p1, p2, p3, p4, ...). When the above formula is run for the first time, (p1, p2, p3) is used as n, and when the above formula is run for the second time, (p1, p2, p3, p4) is used as n. When the above formula is run for the third time, (p1, p2, p3, p4, p5) is used as n, and so on, until (p1, p2, p3, p4, ...) All the operating powers of the motors loaded with the reclamation equipment are involved in the above calculation.
[0068] Through the logical formula recorded above, the determination logic of the characteristic information of the operating power of the motor loaded with the reclamation equipment is further limited.
[0069] Embodiment 3:
[0070] In terms of specific implementation, based on Example 1, this example refers to Figure 1 The information collection system of an intelligent reclamation equipment in Example 1 is further described in detail:
[0071] The characteristic information in the reclamation equipment operation status information identified in the identification module 4 includes: characteristic information of the operation power of the reclamation equipment loading motor and characteristic information of the reclamation equipment reclamation soil image data. The characteristic information recognition logic of the reclamation equipment reclamation soil image data is expressed as:
[0072]
[0073] Where: δ is the complexity of the information in the image data of the reclamation equipment reclaiming soil; p(j) is the probability of pixel value j appearing in the image data of the reclamation equipment reclaiming soil; k(p) max k(p) is the maximum pixel gray value in the image data of the cultivated soil by the reclamation equipment; minis the minimum pixel gray value in the image data of the reclamation equipment cultivating soil; G is the average gray value of the image data of the reclamation equipment cultivating soil;
[0074] Among them, a judgment threshold is set in the recognition module 4, and a comparison is made based on the judgment threshold and the value obtained by the above formula. The complexity level δ within the judgment threshold corresponds to the reclamation equipment soil image data which is judged as a feature image, and the feature image is the feature information of the reclamation equipment soil image data.
[0075] Through the above logic formula, the recognition logic of the characteristic information of the reclamation equipment's soil reclamation image data is further limited.
[0076] like Figure 1 As shown, the reclamation equipment is equipped with two groups of motors, one group of motors is used to provide moving power, and the other group of motors is used to provide reclamation power. The operating power of the motors loaded on the reclamation equipment monitored in the system is the operating power of the motors used to provide reclamation power.
[0077] like Figure 1 As shown, the feedback module 5 feeds back the characteristic information to the reclamation area model of the reclamation equipment, that is, obtains the position information corresponding to the acquisition timestamp of each set of characteristic information in the reclamation area model of the reclamation equipment, and the analysis module 6, during the operation phase, analyzes the density of the corresponding positions of the characteristic information in the model based on the corresponding positions of the characteristic information in the model, and determines it according to the spacing size and quantity between the corresponding positions of the characteristic information in the model;
[0078] Among them, the higher the density of the characteristic information at the corresponding position in the model, the better the soil quality of the area being reclaimed by the reclamation equipment, and vice versa, the worse the soil quality of the area being reclaimed by the reclamation equipment.
[0079] Through the above settings, the soil quality of the reclamation area of the reclamation equipment is further identified and determined based on the system operation output result data, providing the system end users with the necessary soil planning and management reference for the reclamation area.
[0080] In summary, during the operation of the system in the above embodiment, the parameter information of the reclamation area of the reclamation equipment is further collected and analyzed through the operating status parameters of the reclamation equipment. In the analysis stage, the soil conditions of the reclamation area of the reclamation equipment are comprehensively analyzed in combination with the operating status of the motor of the reclamation equipment and the feature information existing in the reclamation soil image data. Then, in the process of soil reclamation, the soil analysis of the reclamation area is completed, which provides further data reference for system users, effectively provides adaptive planning for planting in the reclamation area, and maintains the rationality of economic management of farmland planting.
[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. An information collection system for intelligent reclamation equipment, characterized in that: include: The control terminal (1) is the main control terminal of the system and is used to issue execution commands; A collection module (2), used for collecting operating status information of reclamation equipment; A construction module (3) is used to obtain the reclamation equipment operation status information collected by the collection module (2), and to construct a reclamation area model of the reclamation equipment based on the reclamation equipment operation status information; An identification module (4) is used to receive the reclamation equipment operation status information collected by the collection module (3) and identify characteristic information in the reclamation equipment operation status information; A feedback module (5) is used to obtain characteristic information in the reclamation equipment operation status information identified in the identification module (4), feed the characteristic information back to the reclamation area model of the reclamation equipment, and obtain the corresponding position of the characteristic information in the model; An analysis module (6) is used to receive the feature information obtained in the feedback module (5) at the corresponding position in the model, and analyze the density of the feature information at the corresponding position in the model based on the feature information at the corresponding position in the model; The higher the density of the characteristic information at the corresponding position in the model, the better the soil quality of the area being reclaimed by the reclamation equipment. Conversely, the worse the soil quality of the area being reclaimed by the reclamation equipment. After the acquisition module (2) acquires the reclamation equipment operation status information, it simultaneously stores the reclamation equipment operation status information. During the operation phase of the recognition module (4), the following are obtained from the reclamation equipment operation status information stored in the acquisition module (2): the operation power of the reclamation equipment loading motor monitored by the monitoring unit (21) and the reclamation equipment cultivated soil image data collected by the camera module (22). The operation power of the reclamation equipment loading motor monitored by the monitoring unit (21) and the reclamation equipment cultivated soil image data collected by the camera module (22) are used as feature information recognition targets. The recognition module (4) is provided with submodules at the lower level, including: A reading unit (41) is used to obtain the reclamation equipment operation status information received in the identification module (4), and use the reclamation equipment loading motor operation power in the reclamation equipment operation status information to generate a visualization graph of the reclamation equipment loading motor operation power; The visual graph of the operating power of the loading point of the reclamation equipment generated in the reading unit (41) is a line graph in which the horizontal axis represents time and the vertical axis represents the operating power of the motor. The recognition module (4) is operated after the visual graph of the operating power of the loading motor of the reclamation equipment is generated in the reading unit (41), and recognizes characteristic information of the operating power of the loading motor of the reclamation equipment in the operating state information of the reclamation equipment based on the visual graph of the operating power of the loading motor of the reclamation equipment; In the reclamation equipment operation status information, the characteristic information of the operation power of the motor loaded by the reclamation equipment is expressed as: Where: n is the set of motor operating powers of reclamation equipment; pi is the power value of the motor operating power of the i-th group of reclamation equipment; p max is the maximum power value; p min is the minimum power value; λ is the decision factor; m is the decision value; in, Express The mean value of The table comes from p in the set n max With p min The average value of the decision factor λ>0, and is manually set by the system end user, formula (1) is established, then p max is the only characteristic information in set n, otherwise there is no characteristic information in set n. The operating power of the motor loaded with the reclamation equipment in the operating status information of the reclamation equipment is expressed as (p1, p2, p3, p4, ...). When formula (1) is run for the first time, (p1, p2, p3) is used as n. When formula (1) is run for the second time, (p1, p2, p3, p4) is used as n. When formula (1) is run for the third time, (p1, p2, p3, p4, p5) is used as n. And so on, until (p1, p2, p3, p4, ...) all the operating powers of the motors loaded with the reclamation equipment are involved in the calculation of formula (1); The characteristic information in the reclamation equipment operation status information identified in the identification module (4) includes: characteristic information of the operation power of the reclamation equipment loading motor and characteristic information of the reclamation equipment reclamation soil image data. The characteristic information identification logic of the reclamation equipment reclamation soil image data is expressed as follows: Where: δ is the complexity of the information in the image data of the reclamation equipment reclaiming soil; p(j) is the probability of pixel value j appearing in the image data of the reclamation equipment reclaiming soil; k(p) max k(p) is the maximum pixel gray value in the image data of the cultivated soil by the reclamation equipment; min is the minimum pixel gray value in the image data of the reclamation equipment cultivating soil; G is the average gray value of the image data of the reclamation equipment cultivating soil; A determination threshold is set in the recognition module (4), and a comparison is performed based on the determination threshold and the value obtained by formula (2). The image data of the cultivated soil by the reclamation equipment corresponding to the complexity level δ within the determination threshold is determined as a feature image, and the feature image is the feature information of the image data of the cultivated soil by the reclamation equipment.
2. The information collection system of intelligent reclamation equipment according to claim 1 is characterized in that: The acquisition module (2) is provided with submodules at the lower level, including: A monitoring unit (21) for real-time monitoring of the operating power of a loading motor of the reclamation equipment; A camera module (22) for collecting image data of soil being reclaimed by the reclamation equipment; Among them, the monitoring unit (21) monitors the operating power of the reclamation equipment loading motor and the camera module (22) collects the reclamation equipment reclamation soil image data, that is, the reclamation equipment operation status information collected by the acquisition module (2), and the acquisition module (2) operates synchronously with the reclamation equipment operation status.
3. The information collection system of intelligent reclamation equipment according to claim 1 is characterized in that: The acquisition module (2) is internally provided with submodules, including: A positioning unit (23), used for real-time positioning of the location information of the reclamation equipment; The location information of the reclamation equipment located in real time by the positioning unit (23), the operating power of the motor of the reclamation equipment monitored by the monitoring unit (21), and the image data of the reclamation soil of the reclamation equipment collected by the camera module (22) are recorded as the operating status information of the reclamation equipment collected by the acquisition module (2). The positioning unit (23) is set with an operating cycle. The positioning unit (23) operates in real time based on the set operating cycle. During each operation, the location information of the reclamation equipment is obtained. When the construction module (3) is in the operating state, the location information located by the positioning unit (23) based on the operating cycle is obtained in the positioning unit (23), and each group of location information is connected in sequence based on the positioning time to form a linear graph composed of a plurality of groups of line segments, i.e., the reclamation area model of the reclamation equipment constructed in the construction module (3).
4. The information collection system of intelligent reclamation equipment according to claim 1 is characterized in that: The reclamation equipment moves in the reclamation area. After constructing the reclamation area model of the reclamation equipment, the construction module (3) marks the corresponding positioning timestamps for the endpoints of each line segment in the model, and determines the position information of any position on the line segment and the corresponding timestamps of any position information based on the position information of the two end points of the line segment in each group of the reclamation area model of the reclamation equipment and the corresponding positioning timestamps of the two groups of position information.
5. The information collection system of intelligent reclamation equipment according to claim 1 is characterized in that: The reclamation equipment is equipped with two groups of motors, one group of motors is used to provide moving power, and the other group of motors is used to provide reclamation power. The operating power of the motors loaded on the reclamation equipment monitored in the system is the operating power of the motors used to provide reclamation power.
6. The information collection system of intelligent reclamation equipment according to claim 1 is characterized in that: The feedback module (5) feeds back the characteristic information to the reclamation area model of the reclamation equipment, that is, obtains the position information corresponding to the time stamp of each set of characteristic information collection in the reclamation area model of the reclamation equipment. The analysis module (6) analyzes the density of the corresponding positions of the characteristic information in the model based on the corresponding positions of the characteristic information in the model during the operation phase, and determines it according to the spacing and number between the corresponding positions of the characteristic information in the model.
7. The information collection system of intelligent reclamation equipment according to claim 1 is characterized in that: The control terminal (1) is electrically connected to a collection module (2) via a medium, the collection module (2) is electrically connected to a monitoring unit (21) and a camera module (22) via a medium, the collection module (2) is electrically connected to a positioning unit (23) via a medium, the collection module (2) is electrically connected to a construction module (3) via a medium, the construction module (3) is electrically connected to the positioning unit (23) via a medium, the construction module (3) is electrically connected to a reading unit (41) via a medium, and the identification module (4) is electrically connected to a feedback module (5) and an analysis module (6) via a medium.
Citation Information
Patent Citations
Traceable agricultural socialization comprehensive service cloud platform based on big data analysis
CN116385124A
Power pre-distribution and energy consumption dynamic optimization method based on dredging working condition
CN116885695A