Multi-scene compatible method and system of working ladder

Abstract

The invention discloses a multi-scene compatible method and system for a working ladder, and the method comprises the steps: defining a plurality of scene features based on a plurality of scene parameters, and constructing a corresponding working scene according to the plurality of scene features. Further, triggering attitude optimization of the working ladder according to the first attitude of the working ladder and the working scene, defining a bearing system of the working ladder based on the second attitude of the working ladder and the load of the working ladder, and defining a distribution mode of supporting legs according to the bearing system of the working ladder and a free space corresponding to the working scene; the relative distance is defined based on the height of the user and the height of the target position, height adjustment of the working ladder is triggered according to the relative distance and the center height of the working ladder, and a bearing system of the working ladder is dynamically adjusted along with height adjustment of the working ladder, so that autonomous adjustment and control of the height of the working ladder are guaranteed; and the influence of the number of the supporting legs is fully considered, so that the second posture of the working ladder, the height of the working ladder and the number of the supporting legs are intelligently controlled.

Description

Technical Field

[0001] The present invention relates to the technical field of work ladders, and in particular to a multi-scenario compatibility method and system for a work ladder. Background Art

[0002] With the development of science and technology, work ladders are applied in people's lives and adapted to various outdoor scenes. In the prior art, the work ladder includes supporting legs and a telescopic body. Multiple supporting legs are arranged on the periphery of the telescopic body and are manually adjusted. For different work scenes, the work ladder adopts the same set of telescopic distances and the opening of multiple supporting legs, and does not perform intelligent regulation for different work scenes. It is impossible to intelligently control the posture of the work ladder, the height of the work ladder and the number of supporting legs, which affects the compatibility of the work ladder in various work scenes. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides a multi-scene compatibility method and system for a work ladder, which collects multiple posture parameters according to positioning detection of the current position of the work ladder; defines a first posture of the work ladder based on the multiple posture parameters; performs scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, and collects multiple scene parameters, defines multiple scene features based on the multiple scene parameters, constructs corresponding work scenes according to the multiple scene features, and performs multi-dimensional control on the multiple scene features, thereby ensuring the accuracy of the work scenes.

[0004] Furthermore, the posture optimization of the work ladder is triggered according to the first posture of the work ladder and the work scene, and the second posture of the work ladder is output; the bearing system of the work ladder is defined based on the second posture of the work ladder and the load of the work ladder, and the distribution of the supporting legs is defined according to the bearing system of the work ladder and the free space corresponding to the work scene; the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder; the bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to regulate the number of supporting legs, thereby ensuring autonomous regulation of the height of the work ladder, and fully considering the influence of the number of supporting legs, so as to facilitate intelligent management and control of the second posture of the work ladder, the height of the work ladder and the number of supporting legs, thereby improving the compatibility of the work ladder in various work scenes.

[0005] An embodiment of the present invention provides a multi-scenario compatibility method for a work ladder, which is applied to a multi-scenario compatibility scenario of a work ladder;

[0006] The multi-scenario compatibility method of the work ladder includes:

[0007] Collecting a plurality of attitude parameters according to the positioning detection of the current position of the working ladder;

[0008] defining a first posture of the working ladder based on a plurality of posture parameters;

[0009] Perform scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, collect multiple scene parameters, define multiple scene features based on the multiple scene parameters, and construct a corresponding work scene according to the multiple scene features;

[0010] Triggering posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and outputting a second posture of the working ladder, where the second posture of the working ladder is adapted to the working scene;

[0011] The bearing system of the working ladder is defined based on the second posture of the working ladder and the load of the working ladder, and the distribution mode of the supporting feet is defined according to the bearing system of the working ladder and the free space corresponding to the working scene;

[0012] A relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder. The bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to control the number of supporting legs.

[0013] Optionally, the collecting of multiple posture parameters according to the positioning detection of the current position of the working ladder includes:

[0014] Locate the working ladder and collect the current position of the working ladder;

[0015] Triggering corresponding positioning detection based on the current position of the working ladder;

[0016] Collecting multiple parameter data based on the current position of the working ladder;

[0017] Defining posture parameters based on multiple parameter data and posture dimensions;

[0018] Collect multiple posture parameters.

[0019] Optionally, defining the first posture of the working ladder based on multiple posture parameters includes:

[0020] Freeze multiple posture parameters;

[0021] Construct multiple posture parameter combinations according to multiple posture parameters;

[0022] Defining corresponding posture features based on a combination of multiple posture parameters;

[0023] Marking the position corresponding to the gesture feature;

[0024] Associate the state characteristics of each work scene with the corresponding position;

[0025] A first posture of the working ladder is defined based on the posture features and the corresponding orientations.

[0026] Optionally, performing scene detection on the surrounding space of the work ladder according to a camera carried by the work ladder, collecting multiple scene parameters, defining multiple scene features based on the multiple scene parameters, and constructing a corresponding work scene according to the multiple scene features, includes:

[0027] Freeze the current position of the work ladder;

[0028] Define the corresponding surrounding space according to the current position of the working ladder and the working range of the working ladder;

[0029] Associating the surrounding space with the camera carried by the work ladder, and performing scene detection on the surrounding space of the work ladder according to the directional shooting of the camera carried by the work ladder;

[0030] Collecting multiple scene parameters based on scene detection of the surrounding space of the working ladder;

[0031] Associating multiple scene parameters, and defining multiple scene features according to the multiple scene parameters;

[0032] A corresponding work scene is constructed according to multiple scene features, the current position of the work ladder, and the model of the work ladder.

[0033] Optionally, triggering the posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and outputting the second posture of the working ladder, in which case the second posture of the working ladder is adapted to the working scene, includes:

[0034] Collecting a first posture and a working scene of the working ladder, and associating the first posture and the working scene of the working ladder;

[0035] Define corresponding posture optimization logic based on the first posture of the work ladder, the work scene and the optimization learning model;

[0036] Matching the posture optimization logic, the first posture of the working ladder and the model of the working ladder, and defining a corresponding matching coefficient, if the matching coefficient is greater than a preset matching coefficient, triggering the optimization of the first posture of the working ladder based on the posture optimization logic;

[0037] The second posture of the working ladder is output based on the optimization of the first posture of the working ladder. At this time, the second posture of the working ladder is adapted to the working scene.

[0038] Optionally, defining a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and defining a distribution mode of supporting feet according to the bearing system of the working ladder and the free space corresponding to the working scene, includes:

[0039] Freeze the working ladder in its second posture;

[0040] associating a second posture of the working ladder and a load of the working ladder;

[0041] defining a force analysis diagram of the working ladder based on the second posture of the working ladder and the load of the working ladder;

[0042] The load-bearing system of the working ladder is defined according to the force analysis diagram of the working ladder, the model of the working ladder and the working range of the working ladder.

[0043] Optionally, the defining a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and defining a distribution mode of supporting feet according to the bearing system of the working ladder and the free space corresponding to the working scene, further includes:

[0044] Traversing the work scenes, and defining free spaces corresponding to the work scenes based on the traversal of the work scenes;

[0045] The bearing system of the work ladder and the free space corresponding to the work scene are associated, and the distribution of the supporting legs is defined based on the bearing system of the work ladder and the free space corresponding to the work scene.

[0046] Optionally, the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the working ladder is triggered according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting feet, including:

[0047] Collect the interaction signal of the working ladder, and define the corresponding target position according to the analysis of the interaction signal;

[0048] The height of the target location;

[0049] Associate the user's altitude with the target's altitude;

[0050] Define relative distance based on the user's height and the height of the target location;

[0051] A height adjustment signal is defined according to the relative distance and the center height of the working ladder; and the height adjustment of the working ladder is triggered according to the height adjustment signal.

[0052] Optionally, the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the working ladder is triggered according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting feet, and further includes:

[0053] Real-time monitoring of the height adjustment of the work ladder. The load-bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted. The control logic of the support feet is defined based on the load-bearing system of the work ladder.

[0054] The dynamic control of the number of supporting feet is triggered according to the control logic of the supporting feet.

[0055] In addition, an embodiment of the present invention further provides a multi-scenario compatible system for a work ladder, wherein the multi-scenario compatible system for a work ladder comprises:

[0056] A collection module, used for collecting a plurality of posture parameters according to the positioning detection of the current position of the working ladder;

[0057] A first posture module, used to define a first posture of the working ladder based on a plurality of posture parameters;

[0058] A work scene module is used to perform scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, collect multiple scene parameters, define multiple scene features based on the multiple scene parameters, and construct a corresponding work scene according to the multiple scene features;

[0059] A second posture module, used to trigger posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and output a second posture of the working ladder, at which point the second posture of the working ladder is adapted to the working scene;

[0060] A support foot module, used to define a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and to define a distribution mode of the support feet according to the bearing system of the working ladder and the free space corresponding to the working scene;

[0061] The height adjustment module is used to define the relative distance based on the user's height and the height of the target position, and trigger the height adjustment of the working ladder according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting feet.

[0062] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple posture parameters are collected according to the positioning detection of the current position of the working ladder; the first posture of the working ladder is defined based on the multiple posture parameters; scene detection is performed on the surrounding space of the working ladder according to the camera carried by the working ladder, and multiple scene parameters are collected, multiple scene features are defined based on the multiple scene parameters, corresponding working scenes are constructed according to the multiple scene features, and multi-dimensional control is performed on the multiple scene features, thereby ensuring the accuracy of the working scenes.

[0063] Furthermore, the posture optimization of the work ladder is triggered according to the first posture of the work ladder and the work scene, and the second posture of the work ladder is output; the bearing system of the work ladder is defined based on the second posture of the work ladder and the load of the work ladder, and the distribution of the supporting legs is defined according to the bearing system of the work ladder and the free space corresponding to the work scene; the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder; the bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to regulate the number of supporting legs, thereby ensuring autonomous regulation of the height of the work ladder, and fully considering the influence of the number of supporting legs, so as to facilitate intelligent management and control of the second posture of the work ladder, the height of the work ladder and the number of supporting legs, thereby improving the compatibility of the work ladder in various work scenes. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] 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 description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0065] Figure 1 is a flowchart of a multi-scenario compatibility method for a work ladder in an embodiment of the present invention;

[0066] Figure 2 is a flowchart of S11 in the multi-scenario compatibility method of the working ladder in an embodiment of the present invention;

[0067] Figure 3 is a flowchart of S12 in the multi-scenario compatibility method of the working ladder in an embodiment of the present invention;

[0068] Figure 4 is a flowchart of S13 in the multi-scenario compatibility method of the working ladder in an embodiment of the present invention;

[0069] Figure 5 is a flowchart of S14 in the multi-scenario compatibility method of the working ladder in an embodiment of the present invention;

[0070] Figure 6 is a flowchart of S15 in the multi-scenario compatibility method of the working ladder in an embodiment of the present invention;

[0071] Figure 7 is a flowchart of S16 in the multi-scenario compatibility method of the working ladder in an embodiment of the present invention;

[0072] Figure 82 is a schematic diagram of the structure of a multi-scenario compatible system of a working ladder in an embodiment of the present invention;

[0073] Fig. 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0075] See also Figures 1 to 9 , a multi-scenario compatibility method for a work ladder, applied to a multi-scenario compatibility scenario of a work ladder; the multi-scenario compatibility method for a work ladder includes:

[0076] Step S11: collecting a plurality of posture parameters according to the positioning detection of the current position of the working ladder;

[0077] Step S12: defining a first posture of the working ladder based on a plurality of posture parameters;

[0078] Step S13: performing scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, collecting multiple scene parameters, defining multiple scene features based on the multiple scene parameters, and constructing a corresponding work scene according to the multiple scene features;

[0079] Step S14: triggering posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and outputting a second posture of the working ladder. At this time, the second posture of the working ladder is adapted to the working scene;

[0080] Step S15: defining a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and defining a distribution mode of the supporting feet according to the bearing system of the working ladder and the free space corresponding to the working scene;

[0081] Step S16: Define a relative distance based on the user's height and the height of the target position, trigger the height adjustment of the working ladder according to the relative distance and the center height of the working ladder, and the bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting legs.

[0082] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple posture parameters are collected according to the positioning detection of the current position of the working ladder; the first posture of the working ladder is defined based on the multiple posture parameters; scene detection is performed on the surrounding space of the working ladder according to the camera carried by the working ladder, and multiple scene parameters are collected, multiple scene features are defined based on the multiple scene parameters, corresponding working scenes are constructed according to the multiple scene features, and multi-dimensional control is performed on the multiple scene features, thereby ensuring the accuracy of the working scenes.

[0083] Furthermore, the posture optimization of the work ladder is triggered according to the first posture of the work ladder and the work scene, and the second posture of the work ladder is output; the bearing system of the work ladder is defined based on the second posture of the work ladder and the load of the work ladder, and the distribution of the supporting legs is defined according to the bearing system of the work ladder and the free space corresponding to the work scene; the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder; the bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to regulate the number of supporting legs, thereby ensuring autonomous regulation of the height of the work ladder, and fully considering the influence of the number of supporting legs, so as to facilitate intelligent management and control of the second posture of the work ladder, the height of the work ladder and the number of supporting legs, thereby improving the compatibility of the work ladder in various work scenes.

[0084] refer to Figure 2 , in step S11, a plurality of posture parameters are collected according to the positioning detection of the current position of the working ladder;

[0085] In the specific implementation process of the present invention, the specific steps may be:

[0086] S111: Positioning the working ladder and collecting the current position of the working ladder;

[0087] S112: triggering corresponding positioning detection based on the current position of the working ladder;

[0088] S113: collecting a plurality of parameter data according to the fixed detection of the current position of the working ladder;

[0089] S114: defining posture parameters based on the plurality of parameter data and the posture dimension;

[0090] S115: Collect multiple posture parameters.

[0091] In an embodiment of the present application, the working ladder is positioned and the current position of the working ladder is collected. The current position of the working ladder is introduced, and the current position of the working ladder is controlled, thereby triggering a corresponding positioning detection based on the current position of the working ladder, thereby realizing the positioning detection of the current position of the working ladder.

[0092] Therefore, multiple parameter data are collected based on the fixed detection of the current position of the working ladder, multiple parameter data are introduced, and overall control is performed on the multiple parameter data, so as to define posture parameters based on the multiple parameter data and posture dimensions, so as to facilitate the collection of multiple posture parameters and perform multi-dimensional control on multiple posture parameters.

[0093] refer to Figure 3 , in step S12, defining a first posture of the working ladder based on a plurality of posture parameters;

[0094] In the specific implementation process of the present invention, the specific steps may be:

[0095] S121: freeze multiple posture parameters;

[0096] S122: construct multiple posture parameter combinations according to the multiple posture parameters;

[0097] S123: defining corresponding posture features based on a combination of multiple posture parameters;

[0098] S124: marking the position corresponding to the posture feature;

[0099] S125: Associating each posture feature with the corresponding orientation;

[0100] S126: Define a first posture of the working ladder based on various posture features and corresponding orientations.

[0101] In an embodiment of the present application, multiple posture parameters are fixed, and the multiple posture parameters are controlled, so as to construct multiple posture parameter combinations based on the multiple posture parameters, so that the multiple posture parameters can be combined in different dimensions, thereby introducing multiple posture parameter combinations and performing overall control on the multiple posture parameter combinations.

[0102] At this time, corresponding posture features are defined based on multiple posture parameter combinations, and multiple posture parameter combinations are controlled to introduce various posture features. At the same time, the corresponding orientation of the posture feature is marked, and the orientation of each posture feature is introduced.

[0103] Therefore, associating each posture feature and the corresponding orientation is compatible with the multi-dimensional control of each posture feature and the corresponding orientation, so that each posture feature and the corresponding orientation are considered as a whole, and the first posture of the working ladder is defined based on each posture feature and the corresponding orientation, thereby ensuring the accuracy of the first posture of the working ladder.

[0104] refer to Figure 4In step S13, in the floor cleaning space, scene detection is performed on the surrounding space of the work ladder according to the camera carried by the work ladder, and multiple scene parameters are collected, multiple scene features are defined based on the multiple scene parameters, and corresponding work scenes are constructed according to the multiple scene features;

[0105] In the specific implementation process of the present invention, the specific steps may be:

[0106] S131: freeze the current position of the working ladder;

[0107] S132: defining a corresponding surrounding space according to the current position of the working ladder and the working range of the working ladder;

[0108] S133: Associating the surrounding space with the camera carried by the working ladder, and performing scene detection on the surrounding space of the working ladder according to the directional shooting of the camera carried by the working ladder;

[0109] S134: collecting a plurality of scene parameters according to scene detection of the surrounding space of the working ladder;

[0110] S135: Associating multiple scene parameters, and defining multiple scene features according to the multiple scene parameters;

[0111] S136: Construct a corresponding work scene according to multiple scene features, the current position of the work ladder, and the model of the work ladder.

[0112] In an embodiment of the present application, multiple posture parameters are collected based on positioning detection of the current position of the work ladder; the first posture of the work ladder is defined based on the multiple posture parameters; scene detection is performed on the surrounding space of the work ladder based on the camera carried by the work ladder, and multiple scene parameters are collected, multiple scene features are defined based on the multiple scene parameters, corresponding work scenes are constructed based on the multiple scene features, and multi-dimensional control is performed on the multiple scene features, thereby ensuring the accuracy of the work scenes.

[0113] At this time, the current position of the work ladder is frozen, and the current position of the work ladder is controlled, so that the corresponding surrounding space is defined according to the current position of the work ladder and the working range of the work ladder, which is compatible with the overall consideration of the current position of the work ladder and the working range of the work ladder, so as to further control the surrounding space and ensure refined management and control of the surrounding space.

[0114] Furthermore, the surrounding space and the camera carried by the work ladder are associated, and scene detection is performed on the surrounding space of the work ladder based on the directional shooting of the camera carried by the work ladder, so that the camera carried by the work ladder can control the surrounding space, thereby realizing the corresponding scene detection.

[0115] Therefore, multiple scene parameters are collected based on scene detection of the space surrounding the work ladder, multiple scene parameters are introduced, and the multiple scene parameters are associated, thereby associating the multiple scene parameters, defining multiple scene features based on the multiple scene parameters, introducing multiple scene features, and realizing overall control of multiple scene features. Then, corresponding work scenes are constructed based on the multiple scene features, the current position of the work ladder, and the model of the work ladder, and are compatible with the overall consideration of multiple scene features, the current position of the work ladder, and the model of the work ladder, thereby realizing multi-dimensional control of multiple scene features, the current position of the work ladder, and the model of the work ladder, and ensuring the accuracy of the work scene.

[0116] refer to Figure 5 , S14: triggering posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and outputting a second posture of the working ladder. At this time, the second posture of the working ladder is adapted to the working scene;

[0117] In the specific implementation process of the present invention, the specific steps may be:

[0118] S141: collecting a first posture and a working scene of the working ladder, and associating the first posture and the working scene of the working ladder;

[0119] S142: defining corresponding posture optimization logic based on the first posture of the work ladder, the work scene, and the optimization learning model;

[0120] S143: matching the posture optimization logic, the first posture of the working ladder, and the model of the working ladder, and defining a corresponding matching coefficient. If the matching coefficient is greater than a preset matching coefficient, triggering optimization of the first posture of the working ladder based on the posture optimization logic;

[0121] S144: Outputting a second posture of the working ladder based on the optimization of the first posture of the working ladder. At this time, the second posture of the working ladder is adapted to the working scene.

[0122] In an embodiment of the present application, the first posture and the working scene of the work ladder are collected, and the first posture and the working scene of the work ladder are associated, and the first posture and the working scene of the work ladder are controlled as a whole, which is compatible with the multi-dimensional control of the first posture and the working scene of the work ladder, and then the corresponding posture optimization logic is defined based on the first posture of the work ladder, the working scene and the optimization learning model, which realizes the multi-dimensional control of the first posture of the work ladder, the working scene and the optimization learning model, and ensures the accuracy of the posture optimization logic.

[0123] Therefore, the posture optimization logic, the first posture of the working ladder and the model of the working ladder are matched, and the corresponding matching coefficient is defined, and the matching coefficient is introduced to compare the matching coefficient with the preset matching coefficient.

[0124] Furthermore, if the matching coefficient is greater than the preset matching coefficient, the optimization of the first posture of the working ladder is triggered based on the posture optimization logic; the second posture of the working ladder is output based on the optimization of the first posture of the working ladder. At this time, the second posture of the working ladder is adapted to the working scene, and the second posture of the working ladder is controlled to ensure the adaptability of the second posture of the working ladder to the working scene and compatibility with the application of various working scenes.

[0125] refer to Figure 6 , S15: defining a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and defining a distribution mode of the supporting feet according to the bearing system of the working ladder and the free space corresponding to the working scene;

[0126] In the specific implementation process of the present invention, the specific steps may be:

[0127] S151: freeze the second posture of the working ladder;

[0128] S152: Associating the second posture of the working ladder and the load of the working ladder;

[0129] S153: defining a force analysis diagram of the working ladder based on the second posture of the working ladder and the load of the working ladder;

[0130] S154: defining a load-bearing system of the working ladder according to a force analysis diagram of the working ladder, a model of the working ladder, and a working range of the working ladder;

[0131] S155: traversing the work scenes, and defining free spaces corresponding to the work scenes based on the traversal of the work scenes;

[0132] S156: Associating the load-bearing system of the work ladder and the free space corresponding to the work scene, and defining the distribution method of the supporting legs based on the load-bearing system of the work ladder and the free space corresponding to the work scene.

[0133] In an embodiment of the present application, the second posture of the working ladder is frozen, the second posture of the working ladder is introduced, and the second posture of the working ladder and the load of the working ladder are overall controlled, thereby associating the second posture of the working ladder and the load of the working ladder.

[0134] At this time, the force analysis diagram of the working ladder is defined based on the second posture of the working ladder and the load of the working ladder, the second posture of the working ladder and the load of the working ladder are controlled in multiple dimensions, the force analysis diagram of the working ladder is introduced, and refined management and control are carried out on the force analysis diagram of the working ladder.

[0135] Therefore, the load-bearing system of the working ladder is defined according to the force analysis diagram of the working ladder, the model of the working ladder and the working range of the working ladder. The force analysis diagram of the working ladder, the model of the working ladder and the working range of the working ladder are introduced, and multi-dimensional control is carried out on the force analysis diagram of the working ladder, the model of the working ladder and the working range of the working ladder to ensure the accuracy of the load-bearing system of the working ladder.

[0136] Furthermore, the work scenes are traversed, and the free space corresponding to the work scenes is defined based on the traversal of the work scenes. The free space corresponding to the work scenes is introduced, and the free space corresponding to the work scenes is controlled. At the same time, the bearing system of the work ladder and the free space corresponding to the work scenes are associated, and the distribution of the supporting feet is defined based on the bearing system of the work ladder and the free space corresponding to the work scenes. This ensures multi-dimensional control of the distribution of the supporting feet and improves the accuracy of the distribution of the supporting feet in each work scene.

[0137] refer to Figure 7 , S16: defining a relative distance based on the height of the user and the height of the target position, triggering height adjustment of the working ladder according to the relative distance and the center height of the working ladder, and the bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting feet;

[0138] In the specific implementation process of the present invention, the specific steps may be:

[0139] S161: collecting interaction signals of the working ladder, and defining corresponding target positions according to analysis of the interaction signals;

[0140] S162: collecting the height of the target position;

[0141] S163: Associating the height of the user and the height of the target location; defining a relative distance based on the height of the user and the height of the target location;

[0142] S164: defining a height adjustment signal according to the relative distance and the center height of the working ladder; and triggering height adjustment of the working ladder according to the height adjustment signal;

[0143] S165: Real-time monitoring of the height adjustment of the work ladder. The load-bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted. The control logic of the support feet is defined based on the load-bearing system of the work ladder.

[0144] S166: Triggering dynamic control of the number of supporting feet according to the control logic of the supporting feet.

[0145] During the specific implementation of the present invention, the posture optimization of the work ladder is triggered according to the first posture of the work ladder and the work scene, and the second posture of the work ladder is output; the bearing system of the work ladder is defined based on the second posture of the work ladder and the load of the work ladder, and the distribution of the supporting legs is defined according to the bearing system of the work ladder and the free space corresponding to the work scene; the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder; the bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to regulate the number of supporting legs, thereby ensuring autonomous regulation of the height of the work ladder, and fully considering the influence of the number of supporting legs, so as to intelligently control the second posture of the work ladder, the height of the work ladder and the number of supporting legs, thereby improving the compatibility of the work ladder in various work scenes.

[0146] At this time, the interaction signal of the work ladder is collected, and the corresponding target position is defined according to the analysis of the interaction signal. The target position is introduced, and the target position is further controlled. At the same time, the height of the target position is collected, the height of the user and the height of the target position are introduced, and the height of the user and the height of the target position are associated; the relative distance is defined based on the height of the user and the height of the target position.

[0147] Furthermore, relative distance is introduced to control the relative distance, so that the height adjustment signal is defined according to the relative distance and the center height of the working ladder, which is compatible with the overall control of the relative distance and the center height of the working ladder, and realizes multi-dimensional control of the relative distance and the center height of the working ladder, so as to output the height adjustment signal.

[0148] Therefore, a height adjustment signal is introduced, and the height adjustment of the work ladder is triggered according to the height adjustment signal, so as to facilitate the management and control of the height adjustment of the work ladder. At the same time, the height adjustment of the work ladder is monitored in real time, and the bearing system of the work ladder is dynamically adjusted as the height adjustment of the work ladder is adjusted. The management and control logic of the supporting feet is defined based on the bearing system of the work ladder; the dynamic control of the number of supporting feet is triggered according to the management and control logic of the supporting feet, thereby ensuring the autonomous control of the height of the work ladder, and fully considering the influence of the number of supporting feet, so as to facilitate the intelligent management and control of the second posture of the work ladder, the height of the work ladder and the number of supporting legs, thereby improving the compatibility of the work ladder in various work scenarios.

[0149] In addition, for the work ladder, the work ladder includes support legs, an adjustable single ring buckle, an angle adjustment tension assembly, a rope support rod, a rope rod locking assembly, a universal foot support, a pin, an extended support rod and an angle support assembly.

[0150] In an embodiment of the present invention, through the method in the embodiment of the present invention, multiple posture parameters are collected according to the positioning detection of the current position of the working ladder; the first posture of the working ladder is defined based on the multiple posture parameters; scene detection is performed on the surrounding space of the working ladder according to the camera carried by the working ladder, and multiple scene parameters are collected, multiple scene features are defined based on the multiple scene parameters, corresponding working scenes are constructed according to the multiple scene features, and multi-dimensional control is performed on the multiple scene features, thereby ensuring the accuracy of the working scenes.

[0151] Furthermore, the posture optimization of the work ladder is triggered according to the first posture of the work ladder and the work scene, and the second posture of the work ladder is output; the bearing system of the work ladder is defined based on the second posture of the work ladder and the load of the work ladder, and the distribution of the supporting legs is defined according to the bearing system of the work ladder and the free space corresponding to the work scene; the relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder; the bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to regulate the number of supporting legs, thereby ensuring autonomous regulation of the height of the work ladder, and fully considering the influence of the number of supporting legs, so as to facilitate intelligent management and control of the second posture of the work ladder, the height of the work ladder and the number of supporting legs, thereby improving the compatibility of the work ladder in various work scenes.

[0152] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of the multi-scenario compatible system of the work ladder in an embodiment of the present invention.

[0153] like Figure 8 As shown, a multi-scenario compatible system for a working ladder, the multi-scenario compatible system for the working ladder comprises:

[0154] A collection module 21, used for collecting a plurality of posture parameters according to the positioning detection of the current position of the working ladder;

[0155] A first posture module 22, for defining a first posture of the working ladder based on a plurality of posture parameters;

[0156] A working scene module 23 is used to perform scene detection on the surrounding space of the working ladder according to the camera carried by the working ladder, collect multiple scene parameters, define multiple scene features based on the multiple scene parameters, and construct a corresponding working scene according to the multiple scene features;

[0157] A second posture module 24, used to trigger posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and output a second posture of the working ladder, at which point the second posture of the working ladder is adapted to the working scene;

[0158] The support foot module 25 is used to define the bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and to define the distribution of the support feet according to the bearing system of the working ladder and the free space corresponding to the working scene;

[0159] The height adjustment module 26 is used to define the relative distance based on the user's height and the height of the target position, and trigger the height adjustment of the working ladder according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting legs.

[0160] See also Fig. 9 , refer to the following Fig. 9 The electronic device 40 according to this embodiment of the present invention will be described. Fig. 9 The electronic device 40 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0161] like Fig. 9 As shown, the electronic device 40 is in the form of a general computing device. The components of the electronic device 40 may include but are not limited to: at least one processing unit 41, at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0162] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 executes the steps according to various exemplary embodiments of the present invention described in the above “Embodiment Method” section of this specification.

[0163] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0164] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of network electromagnetics.

[0165] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0166] The electronic device 40 may also communicate with one or more external devices (e.g., keyboards, pointing devices, Bluetooth devices, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., routers, modems, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Fig. 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although Fig. 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0167] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a multi-parameter sensor device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0168] Those skilled in the art can understand that all or some of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0169] In addition, the multi-scenario compatibility method and system of the work ladder provided in the embodiment of the present invention are introduced in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A multi-scenario compatibility method for a working ladder, characterized in that: Applied to multi-scenario compatible scenarios for work ladders; The multi-scenario compatibility method of the work ladder includes: Collecting a plurality of attitude parameters according to the positioning detection of the current position of the working ladder; defining a first posture of the working ladder based on a plurality of posture parameters; Perform scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, collect multiple scene parameters, define multiple scene features based on the multiple scene parameters, and construct a corresponding work scene according to the multiple scene features; Triggering posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and outputting a second posture of the working ladder, where the second posture of the working ladder is adapted to the working scene; The bearing system of the working ladder is defined based on the second posture of the working ladder and the load of the working ladder, and the distribution mode of the supporting feet is defined according to the bearing system of the working ladder and the free space corresponding to the working scene; A relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the work ladder is triggered according to the relative distance and the center height of the work ladder. The bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted to control the number of supporting legs.

2. The multi-scenario compatibility method of a working ladder according to claim 1, characterized in that: The method of collecting a plurality of posture parameters according to the positioning detection of the current position of the working ladder includes: Locate the working ladder and collect the current position of the working ladder; Triggering corresponding positioning detection based on the current position of the working ladder; Collecting multiple parameter data based on the current position of the working ladder; Defining posture parameters based on multiple parameter data and posture dimensions; Collect multiple posture parameters.

3. The multi-scenario compatible method of a working ladder according to claim 2 is characterized in that: Defining a first posture of the working ladder based on a plurality of posture parameters comprises: Freeze multiple posture parameters; Construct multiple posture parameter combinations according to multiple posture parameters; Defining corresponding posture features based on a combination of multiple posture parameters; Marking the position corresponding to the gesture feature; Associate the state characteristics of each work scene with the corresponding position; A first posture of the working ladder is defined based on the posture features and the corresponding orientations.

4. The multi-scenario compatible method of a working ladder according to claim 3 is characterized in that: The method includes performing scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, collecting multiple scene parameters, defining multiple scene features based on the multiple scene parameters, and constructing a corresponding work scene according to the multiple scene features, including: Freeze the current position of the work ladder; Define the corresponding surrounding space according to the current position of the working ladder and the working range of the working ladder; Associating the surrounding space with the camera carried by the work ladder, and performing scene detection on the surrounding space of the work ladder according to the directional shooting of the camera carried by the work ladder; Collecting multiple scene parameters based on scene detection of the surrounding space of the working ladder; Associating multiple scene parameters, and defining multiple scene features according to the multiple scene parameters; A corresponding work scene is constructed according to multiple scene features, the current position of the work ladder, and the model of the work ladder.

5. The multi-scenario compatible method of a working ladder according to claim 4, characterized in that: The method triggers the posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and outputs the second posture of the working ladder, wherein the second posture of the working ladder is adapted to the working scene, including: Collecting a first posture and a working scene of the working ladder, and associating the first posture and the working scene of the working ladder; Define corresponding posture optimization logic based on the first posture of the work ladder, the work scene and the optimization learning model; Matching the posture optimization logic, the first posture of the working ladder and the model of the working ladder, and defining a corresponding matching coefficient, if the matching coefficient is greater than a preset matching coefficient, triggering the optimization of the first posture of the working ladder based on the posture optimization logic; The second posture of the working ladder is output based on the optimization of the first posture of the working ladder. At this time, the second posture of the working ladder is adapted to the working scene.

6. The multi-scenario compatibility method of a working ladder according to claim 5, characterized in that: The method of defining the bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and defining the distribution of the supporting feet according to the bearing system of the working ladder and the free space corresponding to the working scene, includes: Freeze the working ladder in its second posture; associating a second posture of the working ladder and a load of the working ladder; defining a force analysis diagram of the working ladder based on the second posture of the working ladder and the load of the working ladder; The load-bearing system of the working ladder is defined according to the force analysis diagram of the working ladder, the model of the working ladder and the working range of the working ladder.

7. The multi-scenario compatible method of a working ladder according to claim 6, characterized in that: The method further includes defining a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and defining a distribution mode of supporting feet according to the bearing system of the working ladder and the free space corresponding to the working scene. Traversing the work scenes, and defining free spaces corresponding to the work scenes based on the traversal of the work scenes; The bearing system of the associated work ladder and the free space corresponding to the work scene are used to define the distribution of the supporting legs based on the bearing system of the work ladder and the free space corresponding to the work scene.

8. The multi-scenario compatible method of a working ladder according to claim 7, characterized in that: The relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the working ladder is triggered according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to adjust the number of supporting feet, including: Collect the interaction signal of the working ladder, and define the corresponding target position according to the analysis of the interaction signal; The height of the target location; Associating a height of the user and a height of the target location; defining a relative distance based on the height of the user and the height of the target location; A height adjustment signal is defined according to the relative distance and the center height of the working ladder; and the height adjustment of the working ladder is triggered according to the height adjustment signal.

9. The multi-scenario compatible method of a working ladder according to claim 8, characterized in that: The relative distance is defined based on the height of the user and the height of the target position, and the height adjustment of the working ladder is triggered according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to adjust the number of supporting feet, and further includes: Real-time monitoring of the height adjustment of the work ladder. The load-bearing system of the work ladder is dynamically adjusted as the height of the work ladder is adjusted. The control logic of the support feet is defined based on the load-bearing system of the work ladder. The dynamic control of the number of supporting feet is triggered according to the control logic of the supporting feet.

10. A multi-scenario compatible system for a working ladder, characterized in that: The multi-scenario compatibility system of the working ladder is applied to the multi-scenario compatibility method of the working ladder as claimed in any one of claims 1 to 9, and the multi-scenario compatibility system of the working ladder includes: A collection module, used for collecting a plurality of posture parameters according to the positioning detection of the current position of the working ladder; A first posture module, used to define a first posture of the working ladder based on a plurality of posture parameters; A work scene module is used to perform scene detection on the surrounding space of the work ladder according to the camera carried by the work ladder, collect multiple scene parameters, define multiple scene features based on the multiple scene parameters, and construct a corresponding work scene according to the multiple scene features; A second posture module, used to trigger posture optimization of the working ladder according to the first posture of the working ladder and the working scene, and output a second posture of the working ladder, at which point the second posture of the working ladder is adapted to the working scene; A support foot module, used to define a bearing system of the working ladder based on the second posture of the working ladder and the load of the working ladder, and to define a distribution mode of the support feet according to the bearing system of the working ladder and the free space corresponding to the working scene; The height adjustment module is used to define the relative distance based on the user's height and the height of the target position, and trigger the height adjustment of the working ladder according to the relative distance and the center height of the working ladder. The bearing system of the working ladder is dynamically adjusted as the height of the working ladder is adjusted to control the number of supporting feet.

Images