An automatic control method and device for an intelligent cleaning device
By processing the trajectory information of smart slippers to generate cleaning instructions, the problem of single cleaning trajectory in smart cleaning devices is solved, achieving a more efficient cleaning effect.
Patent Information
- Application Number
- CN202111498054.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-12-09
- Publication Date
- 2025-12-19
- Estimated Expiration
- 2041-12-09
AI Technical Summary
The cleaning trajectory of intelligent cleaning equipment is either singular or random, resulting in unsatisfactory cleaning effects and low efficiency.
By acquiring the trajectory information set of smart slippers, the target cleaning trajectory set is determined, and cleaning instructions are generated using trajectory cleaning rules to instruct the smart cleaning equipment to perform cleaning operations.
It improves the targeted cleaning ability of intelligent cleaning equipment, enhances cleaning effect and increases cleaning efficiency.
Smart Images

Figure CN116257043B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of intelligent cleaning, in particular to an automatic control method and device of intelligent cleaning equipment. BACKGROUND
[0002] At present, the trajectory of the intelligent cleaning equipment is relatively single or random when cleaning, so that the cleaning effect is not ideal and repeated cleaning may be required, which affects the efficiency. Therefore, it is particularly important to provide an automatic control method and device of intelligent cleaning equipment to improve the targeted cleaning ability of the intelligent cleaning equipment, thereby improving the cleaning effect and enhancing the cleaning efficiency. SUMMARY
[0003] The technical problem to be solved by the present application is to provide an automatic control method and device of intelligent cleaning equipment, which can process intelligent shoe track information to obtain a target cleaning track, and then process the target cleaning track using a track cleaning rule to obtain a cleaning instruction for instructing the intelligent cleaning equipment to perform a cleaning operation, thereby improving the targeted cleaning ability of the intelligent cleaning equipment and improving the cleaning effect and enhancing the cleaning efficiency.
[0004] To solve the above technical problem, the first aspect of the present application discloses an automatic control method of intelligent cleaning equipment, which comprises:
[0005] obtaining a set of intelligent shoe track information; the set of intelligent shoe track information comprises a plurality of intelligent shoe track information;
[0006] determining a set of target cleaning tracks according to the set of intelligent shoe track information; the set of target cleaning tracks comprises a plurality of target cleaning tracks;
[0007] determining a set of cleaning instructions according to the set of target cleaning tracks and a preset track cleaning rule; the set of cleaning instructions comprises a plurality of cleaning instructions; the cleaning instructions are used to instruct the intelligent cleaning equipment to perform a cleaning operation.
[0008] As an optional implementation, in the first aspect of the present application, the determining of the set of target cleaning tracks according to the set of intelligent shoe track information comprises:
[0009] determining a set of cleaning track area information according to the set of intelligent shoe track information and a preset track area integration rule; the set of cleaning track area information comprises a plurality of cleaning track area information;
[0010] determining the set of target cleaning tracks according to the set of cleaning track area information and a preset cleaning track determination rule.
[0011] As an optional implementation, in the first aspect of the embodiment of the present application, the determining of the sweeping trajectory region information set according to the intelligent shoe trajectory information set and the preset trajectory region integration rule comprises:
[0012] determining a to-be-used trajectory region information set according to the intelligent shoe trajectory information set and a preset trajectory region generation rule; the to-be-used trajectory region information set comprises a plurality of to-be-used trajectory region information;
[0013] processing the to-be-used trajectory region information set to obtain the sweeping trajectory region information set.
[0014] As an optional implementation, in the first aspect of the embodiment of the present application, the intelligent shoe trajectory information comprises user identity information and first trajectory time information;
[0015] Before the processing of the to-be-used trajectory region information set to obtain the sweeping trajectory region information set, the method further comprises:
[0016] determining a historical trajectory region information set according to the user identity information and the first trajectory time information; the historical trajectory region information set comprises a plurality of historical trajectory region information;
[0017] the processing of the to-be-used trajectory region information set to obtain the sweeping trajectory region information set comprises:
[0018] integrating and processing the to-be-used trajectory region information set by using the historical trajectory region information set to obtain a candidate trajectory region information set; the candidate trajectory region information set comprises a plurality of candidate trajectory region information;
[0019] screening the candidate trajectory region information set to obtain the sweeping trajectory region information set.
[0020] As an optional implementation, in the first aspect of the embodiment of the present application, the sweeping trajectory region information comprises initial trajectory weight and second trajectory time information;
[0021] the determining of the target sweeping trajectory set according to the sweeping trajectory region information set and a preset sweeping trajectory determination rule comprises:
[0022] for any sweeping trajectory region information, correcting the initial trajectory weight corresponding to the sweeping trajectory region information by using the second trajectory time information corresponding to the sweeping trajectory region information to obtain the modified trajectory weight corresponding to the sweeping trajectory region information;
[0023] According to the modified trajectory weight, all the cleaning trajectory area information in the cleaning trajectory area information set is sorted from large to small, and a trajectory weight sequence is obtained;
[0024] The trajectory weight sequence is processed to determine a target cleaning trajectory set.
[0025] As an optional implementation, in the first aspect of the embodiment of the present application, the trajectory cleaning rule includes a cleaning device selection rule and a cleaning parameter setting rule;
[0026] According to the target cleaning trajectory set and a preset trajectory cleaning rule, a cleaning instruction set is determined, including:
[0027] The target cleaning trajectory set is processed by using the cleaning device selection rule to obtain a cleaning device information set; the cleaning device information set includes a plurality of cleaning device information;
[0028] The cleaning device information set is processed by using the cleaning parameter setting rule to obtain a cleaning instruction set.
[0029] As an optional implementation, in the first aspect of the embodiment of the present application, the cleaning device information set is processed by using the cleaning parameter setting rule to obtain a cleaning instruction set, including:
[0030] For any cleaning device information, target cleaning area information matched with the cleaning device information is filtered out from the target cleaning trajectory set;
[0031] The target cleaning area information is processed to obtain cleaning parameter information corresponding to the cleaning device information;
[0032] According to the cleaning parameter information corresponding to the cleaning device information, a cleaning instruction corresponding to the cleaning device information is determined.
[0033] The second aspect of the embodiment of the present application discloses an automatic control device of an intelligent cleaning device, including:
[0034] An acquisition module is configured to acquire a smart shoe trajectory information set; the smart shoe trajectory information set includes a plurality of smart shoe trajectory information;
[0035] A first determination module is configured to determine a target cleaning trajectory set according to the smart shoe trajectory information set; the target cleaning trajectory set includes a plurality of target cleaning trajectories;
[0036] The second determining module is configured to determine a cleaning instruction set according to the target cleaning track set and a preset track cleaning rule; the cleaning instruction set comprises a plurality of cleaning instructions; and the cleaning instructions are used to instruct the intelligent cleaning device to perform cleaning work.
[0037] As an optional implementation, in the second aspect of the embodiment of the present application, the first determining module comprises a first determining submodule and a second determining submodule, wherein:
[0038] The first determining submodule is configured to determine a cleaning track area information set according to the intelligent slippers track information set and a preset track area integration rule; the cleaning track area information set comprises a plurality of cleaning track area information;
[0039] The second determining submodule is configured to determine a target cleaning track set according to the cleaning track area information set and a preset cleaning track determination rule.
[0040] As an optional implementation, in the second aspect of the embodiment of the present application, the specific manner in which the first determining submodule determines the cleaning track area information set according to the intelligent slippers track information set and the preset track area integration rule is as follows:
[0041] According to the intelligent slippers track information set and a preset track area generation rule, a to-be-used track area information set is determined; the to-be-used track area information set comprises a plurality of to-be-used track area information;
[0042] The to-be-used track area information set is processed to obtain the cleaning track area information set.
[0043] As an optional implementation, in the second aspect of the embodiment of the present application, the intelligent slippers track information comprises user identity information and first track time information;
[0044] Before the first determining submodule processes the to-be-used track area information set to obtain the cleaning track area information set, the first determining submodule is further configured to determine a historical track area information set according to the user identity information and the first track time information; the historical track area information set comprises a plurality of historical track area information;
[0045] The specific manner in which the first determining submodule processes the to-be-used track area information set to obtain the cleaning track area information set is as follows:
[0046] The to-be-used track area information set is integrated and processed by using the historical track area information set to obtain a candidate track area information set; the candidate track area information set comprises a plurality of candidate track area information.
[0047] The candidate trajectory region information set is filtered to obtain a cleaning trajectory region information set.
[0048] In the second aspect of the embodiment, the cleaning trajectory region information includes initial trajectory weight and second trajectory time information.
[0049] The second determining sub-module determines the target cleaning trajectory set according to the cleaning trajectory region information set and a preset cleaning trajectory determination rule.
[0050] For any cleaning trajectory region information, the initial trajectory weight corresponding to the cleaning trajectory region information is modified by using the second trajectory time information corresponding to the cleaning trajectory region information, to obtain a modified trajectory weight corresponding to the cleaning trajectory region information.
[0051] The cleaning trajectory region information set is sorted according to the modified trajectory weight from large to small, to obtain a trajectory weight sequence.
[0052] The trajectory weight sequence is processed to determine the target cleaning trajectory set.
[0053] In the second aspect of the embodiment, the trajectory cleaning rule includes a cleaning device selection rule and a cleaning parameter setting rule.
[0054] The second determining module includes a first processing sub-module and a second processing sub-module.
[0055] The first processing sub-module is configured to process the target cleaning trajectory set by using the cleaning device selection rule, to obtain a cleaning device information set.
[0056] The second processing sub-module is configured to process the cleaning device information set by using the cleaning parameter setting rule, to obtain a cleaning instruction set.
[0057] In the second aspect of the embodiment, the second processing sub-module processes the cleaning device information set by using the cleaning parameter setting rule, to obtain the cleaning instruction set.
[0058] For any cleaning device information, target cleaning region information matched with the cleaning device information is filtered from the target cleaning trajectory set.
[0059] Process the target cleaning area information to obtain cleaning parameter information corresponding to the cleaning device information.
[0060] According to the cleaning parameter information corresponding to the cleaning device information, the cleaning instruction corresponding to the cleaning device information is determined.
[0061] The third aspect of the present application discloses another kind of automatic control device of intelligent cleaning equipment, the device includes:
[0062] Memory storing executable program code;
[0063] Processor coupled with the memory;
[0064] The processor calls the executable program code stored in the memory, and executes part or all steps of the automatic control method of intelligent cleaning equipment disclosed in the first aspect of the present application.
[0065] The fourth aspect of the present application discloses a computer storage medium, the computer storage medium stores computer instructions, when the computer instructions are called, part or all steps of the automatic control method of intelligent cleaning equipment disclosed in the first aspect of the present application are executed.
[0066] Compared with the prior art, the embodiment of the present application has the following beneficial effects:
[0067] In the embodiment of the present application, the intelligent shoe track information set is obtained;The intelligent shoe track information set includes a plurality of intelligent shoe track information;According to the intelligent shoe track information set, the target cleaning track set is determined;The target cleaning track set includes a plurality of target cleaning tracks;According to the target cleaning track set and the preset track cleaning rule, the cleaning instruction set is determined;The cleaning instruction set includes a plurality of cleaning instructions;The cleaning instruction is used to instruct the intelligent cleaning equipment to carry out cleaning work. It can be seen that the intelligent shoe track information can be processed to obtain the target cleaning track, and then the target cleaning track is processed by using the track cleaning rule to obtain the cleaning instruction for instructing the intelligent cleaning design to carry out cleaning work, which is beneficial to improve the target cleaning ability of the intelligent cleaning equipment, and then improve the cleaning effect and improve the cleaning efficiency. BRIEF DESCRIPTION OF DRAWINGS
[0068] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.
[0069] Figure 1is a flow diagram of an automatic control method of a smart cleaning device disclosed by an embodiment of the present application;
[0070] Figure 2 is a flow diagram of another automatic control method of a smart cleaning device disclosed by an embodiment of the present application;
[0071] Figure 3 is a structural diagram of an automatic control device of a smart cleaning device disclosed by an embodiment of the present application;
[0072] Figure 4 is a structural diagram of another automatic control device of a smart cleaning device disclosed by an embodiment of the present application;
[0073] Figure 5 is a structural diagram of another automatic control device of a smart cleaning device disclosed by an embodiment of the present application. DETAILED DESCRIPTION
[0074] In order to enable persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by persons skilled in the art without creative labor fall within the scope of protection of the present application.
[0075] The terms "first", "second", and the like in the specification of the present application and the above-described drawings are used to distinguish different objects, and are not used to describe a particular order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or equipment including a series of steps or units is not limited to the listed steps or units, but can optionally include steps or units not listed, or can optionally include other steps or units inherent to the process, method, product, or equipment.
[0076] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present application. The phrase appears at various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily mutually exclusive of other embodiments. It is explicitly and implicitly understood that the embodiments described herein can be combined with other embodiments.
[0077] The application discloses an automatic control method and device of an intelligent cleaning equipment, which can process intelligent shoe track information to obtain a target cleaning track, and then process the target cleaning track by using a track cleaning rule to obtain a cleaning instruction for instructing the intelligent cleaning equipment to perform a cleaning operation, so as to improve the targeted cleaning capability of the intelligent cleaning equipment, and then improve the cleaning effect and cleaning efficiency. The following will be described in detail.
[0078] Embodiment one
[0079] Please refer to Figure 1 , Figure 1 is a flowchart of an automatic control method of an intelligent cleaning equipment disclosed by the embodiment of the application. Wherein, Figure 1 The automatic control method of the intelligent cleaning equipment described in the application is applied to an intelligent cleaning system, such as a local server or a cloud server for automatic control and management of the intelligent cleaning equipment, which is not limited in the embodiment of the application. As shown in Figure 1 The automatic control method of the intelligent cleaning equipment can include the following operations:
[0080] 101, obtain a set of intelligent shoe track information.
[0081] In the embodiment of the application, the set of intelligent shoe track information includes a plurality of intelligent shoe track information.
[0082] 102, determine a set of target cleaning tracks according to the set of intelligent shoe track information.
[0083] In the embodiment of the application, the set of target cleaning tracks includes a plurality of target cleaning tracks.
[0084] 103, determine a set of cleaning instructions according to the set of target cleaning tracks and a preset track cleaning rule.
[0085] In the embodiment of the application, the set of cleaning instructions includes a plurality of cleaning instructions.
[0086] In the embodiment of the application, the cleaning instruction is used to instruct the intelligent cleaning equipment to perform a cleaning operation.
[0087] Optionally, the track cleaning rule includes a cleaning equipment selection rule, and / or a cleaning parameter setting rule, which is not limited in the embodiment of the application.
[0088] Optionally, the intelligent shoe track information includes user activity track heat map information, and / or user activity track positioning information, and / or user activity time information, and / or user health parameter information, and / or intelligent shoe number information, which is not limited in the embodiment of the application.
[0089] Optionally, the user health parameter information is collected by PPG and ECG sensors.
[0090] Optionally, the user health parameter information includes blood pressure information of the user, and / or heart rate information of the user, and / or blood oxygen saturation information of the user, and the embodiments of the present application are not limited thereto.
[0091] It can be seen that the automatic control method of the intelligent cleaning device described in the embodiments of the present application can process the intelligent slipper trajectory information to obtain the target cleaning trajectory, and then process the target cleaning trajectory by using the trajectory cleaning rule to obtain the cleaning instruction for instructing the intelligent cleaning device to perform the cleaning operation, which is beneficial to improve the targeted cleaning capability of the intelligent cleaning device, and thus improve the cleaning effect and cleaning efficiency.
[0092] In an optional embodiment, the step of determining the target cleaning trajectory set according to the intelligent slipper trajectory information set in step 102 includes:
[0093] According to the intelligent slipper trajectory information set and the preset trajectory region integration rule, a cleaning trajectory region information set is determined, and the cleaning trajectory region information set includes a plurality of cleaning trajectory region information.
[0094] According to the cleaning trajectory region information set and the preset cleaning trajectory determination rule, a target cleaning trajectory set is determined.
[0095] Optionally, the trajectory region integration rule includes a trajectory region generation rule, and / or a trajectory region integration rule, and / or a trajectory region screening rule, and the embodiments of the present application are not limited thereto.
[0096] Optionally, the trajectory region generation rule is used to generate the standby trajectory region information according to the intelligent slipper trajectory information.
[0097] Optionally, the trajectory region integration rule is used to process the standby trajectory region information to obtain the candidate trajectory region information.
[0098] Optionally, the trajectory region screening rule is used to screen and process the candidate trajectory region information to obtain the cleaning trajectory region information.
[0099] It can be seen that the automatic control method of the intelligent cleaning device described in the embodiments of the present application can process the intelligent slipper trajectory information to obtain the target cleaning trajectory, and then process the target cleaning trajectory by using the trajectory cleaning rule to obtain the cleaning instruction for instructing the intelligent cleaning device to perform the cleaning operation, which is beneficial to improve the targeted cleaning capability of the intelligent cleaning device, and thus improve the cleaning effect and cleaning efficiency.
[0100] In another optional embodiment, the method further comprises:
[0101] According to the set trajectory region generation rule and the set of smart shoe trajectory information, a set of to-be-used trajectory region information is determined, wherein the set of to-be-used trajectory region information comprises a plurality of to-be-used trajectory region information.
[0102] The set of to-be-used trajectory region information is processed to obtain a set of cleaning trajectory region information.
[0103] In the optional embodiment, as an optional implementation, the specific manner of determining the set of to-be-used trajectory region information according to the set trajectory region generation rule and the set of smart shoe trajectory information is as follows:
[0104] For any smart shoe trajectory information, a trajectory expansion distance information corresponding to the smart shoe trajectory information is determined by using a preset trajectory expansion coefficient.
[0105] The user activity trajectory positioning information corresponding to the smart shoe trajectory information is processed by using the trajectory expansion distance information corresponding to the smart shoe trajectory information to obtain to-be-used trajectory region information corresponding to the smart shoe trajectory information.
[0106] Optionally, the trajectory expansion coefficient is a positive number greater than 0.
[0107] In the optional embodiment, as another optional implementation, the specific manner of determining the set of to-be-used trajectory region information according to the set trajectory region generation rule and the set of smart shoe trajectory information is as follows:
[0108] For any smart shoe trajectory information, the trajectory expansion distance information corresponding to the smart shoe trajectory information is processed to obtain a set of closed-loop trajectory information; the set of closed-loop trajectory information comprises a plurality of closed-loop trajectory information.
[0109] The set of closed-loop trajectory information is screened to obtain to-be-used trajectory region information corresponding to the smart shoe trajectory information.
[0110] It can be seen that the automatic control method of the intelligent cleaning device described in the embodiments of the present application can process the smart shoe trajectory information by using the trajectory region generation rule to obtain a plurality of to-be-used trajectory region information, and the set of cleaning trajectory region information is determined by processing the to-be-used trajectory region information, which is beneficial to improve the targeted cleaning ability of the intelligent cleaning device, and thus improves the cleaning effect and the cleaning efficiency.
[0111] In yet another optional embodiment, the smart shoe trajectory information comprises user identity information and first trajectory time information.
[0112] Before processing the to-be-used trajectory area information set to obtain the cleaning trajectory area information set, the method further includes:
[0113] According to the user identity information and the first trajectory time information, a historical trajectory area information set is determined; the historical trajectory area information set includes a plurality of historical trajectory area information;
[0114] Processing the to-be-used trajectory area information set to obtain the cleaning trajectory area information set includes:
[0115] The to-be-used trajectory area information set is integrated and processed by using the historical trajectory area information set to obtain a candidate trajectory area information set; the candidate trajectory area information set includes a plurality of candidate trajectory area information;
[0116] The candidate trajectory area information set is screened to obtain the cleaning trajectory area information set.
[0117] Optionally, for any intelligent slippers trajectory information, there is only one first trajectory time information corresponding thereto.
[0118] Optionally, the user identity information is determined according to the intelligent slippers trajectory information user health parameter information.
[0119] Optionally, the candidate trajectory area information includes an initial trajectory weight.
[0120] Optionally, the to-be-used trajectory area information includes a preset trajectory weight.
[0121] Optionally, any preset trajectory weight corresponds to only one initial trajectory weight.
[0122] In the optional embodiment, as an optional implementation, the specific manner of integrating and processing the to-be-used trajectory area information set by using the historical trajectory area information set to obtain the candidate trajectory area information set is as follows:
[0123] For any to-be-used trajectory area information, the historical trajectory area information matched with the to-be-used trajectory area information is determined from the historical trajectory area information set by using the user identity information;
[0124] According to a preset trajectory area coincidence integration rule, the to-be-used trajectory area information and the historical trajectory area information matched with the to-be-used trajectory area information are integrated and divided in a coincident trajectory area, and a plurality of coincident trajectory area information corresponding to the to-be-used trajectory area information is determined;
[0125] According to the trajectory region coincidence integration rule, the coincident trajectory regions are integrated and divided to obtain a set of candidate trajectory region information.
[0126] Optionally, each of the candidate trajectory region information corresponds to a unique trajectory coincidence degree.
[0127] Optionally, each of the trajectory coincidence degrees corresponds to a unique initial trajectory weight.
[0128] Optionally, the greater the value of the trajectory coincidence degree is, the greater the value of the initial trajectory weight corresponding to the trajectory coincidence degree is.
[0129] In the optional embodiment, as another optional implementation, the determination manner of the initial trajectory weight is as follows:
[0130] For any to-be-used trajectory region information, the user identity information is used to match and determine the historical trajectory region information matched with the to-be-used trajectory region information from the set of historical trajectory region information.
[0131] It is judged whether the trajectory region corresponding to the to-be-used trajectory region information contains the trajectory region corresponding to the historical trajectory region information matched with the to-be-used trajectory region information, to obtain a trajectory judgment result.
[0132] When the trajectory judgment result indicates that the trajectory region corresponding to the to-be-used trajectory region information contains the trajectory region corresponding to the historical trajectory region information matched with the to-be-used trajectory region information, a weight adjustment coefficient corresponding to the to-be-used trajectory region information is determined according to a preset weight determination rule.
[0133] The preset trajectory weight corresponding to the to-be-used trajectory region information is adjusted by using the weight adjustment coefficient corresponding to the to-be-used trajectory region information, to obtain an initial trajectory weight corresponding to the to-be-used trajectory region information.
[0134] Optionally, the weight adjustment coefficient is a positive number greater than 0.
[0135] It can be seen that the automatic control method of the intelligent cleaning equipment described in the embodiments of the present application can intelligently process the historical trajectory region information by using the user identity information and the first trajectory time information, and determine a plurality of candidate trajectory region information in combination with the to-be-used trajectory region information, and then determine the target trajectory region information, which is more conducive to improving the targeted cleaning capability of the intelligent cleaning equipment, and thus improves the cleaning effect and the cleaning efficiency.
[0136] In yet another optional embodiment, the cleaning trajectory region information includes an initial trajectory weight and a second trajectory time information.
[0137] According to the cleaning track area information set and a preset cleaning track determination rule, a target cleaning track set is determined, including:
[0138] For any cleaning track area information, the initial track weight corresponding to the cleaning track area information is corrected by using the second track time information corresponding to the cleaning track area information, to obtain the corrected track weight corresponding to the cleaning track area information.
[0139] According to the corrected track weight from large to small, all cleaning track area information in the cleaning track area information set is sorted to obtain a track weight sequence.
[0140] The track weight sequence is processed to determine the target cleaning track set.
[0141] In this optional embodiment, as an optional implementation, the specific manner of the above-mentioned correction of the initial track weight corresponding to any cleaning track area information by using the second track time information corresponding to the cleaning track area information to obtain the corrected track weight corresponding to the cleaning track area information is as follows:
[0142] According to the preset time weight correction rule and the second track time information corresponding to the cleaning track area information, the time weight coefficient corresponding to the cleaning track area information is determined.
[0143] The initial track weight corresponding to the cleaning track area information is corrected by using the time weight coefficient corresponding to the cleaning track area information, to obtain the cleaning track area information.
[0144] Optionally, the cleaning track area information corresponds to only one time weight coefficient.
[0145] Optionally, the time weight coefficient is a positive number greater than 0.
[0146] Optionally, the time weight coefficient is matched by the second track time information corresponding to the cleaning track area information and the weight coefficient information in the time weight table.
[0147] Optionally, the time weight coefficient is calculated by a preset time weight formula. Further, before the time weight coefficient is calculated by the time weight formula, the second track time information needs to be normalized.
[0148] It can be seen that the automatic control method of the intelligent cleaning device described in the embodiment of the present application can obtain the corrected trajectory weight by correcting the initial trajectory weight of the cleaning trajectory area information, and then obtain the trajectory weight sequence by sorting the cleaning trajectory area information, and then determine the target cleaning trajectory, which is more conducive to improving the targeted cleaning ability of the intelligent cleaning device, thereby improving the cleaning effect and improving the cleaning efficiency.
[0149] Embodiment two
[0150] Please refer to Figure 2 , Figure 2 is another flowchart of the automatic control method of the intelligent cleaning device disclosed in the embodiment of the present application. Among them, Figure 2 The automatic control method of the intelligent cleaning device described in the embodiment of the present application is applied to the intelligent cleaning system, such as the local server or the cloud server for the automatic control and management of the intelligent cleaning device, which is not limited in the embodiment of the present application. As shown in Figure 2 The automatic control method of the intelligent cleaning device can include the following operations:
[0151] 201, obtain a set of intelligent shoe track information.
[0152] 202, determine a set of target cleaning trajectories according to the set of intelligent shoe track information.
[0153] 203, process the set of target cleaning trajectories by using cleaning device selection rules to obtain a set of cleaning device information.
[0154] In the embodiment of the present application, the set of cleaning device information includes a plurality of cleaning device information.
[0155] 204, process the set of cleaning device information by using cleaning parameter setting rules to obtain a set of cleaning instructions.
[0156] In the embodiment of the present application, for the specific technical details and technical terms of steps 201-202, please refer to the detailed description of steps 101-102 in embodiment one, and the embodiment of the present application will not be repeated.
[0157] Optionally, each cleaning device corresponds to a unique cleaning device information.
[0158] Optionally, the cleaning device information can correspond to a plurality of target cleaning trajectories, or can correspond to one target cleaning trajectory, which is not limited in the embodiment of the present application.
[0159] Optionally, the cleaning device information includes a plurality of target cleaning trajectories, and / or cleaning device code information, and / or cleaning time information, and / or cleaning intensity information, which is not limited in the embodiment of the present application.
[0160] Optionally, the cleaning equipment information is determined through matching of the target cleaning track and cleaning equipment corresponding cleaning equipment code information.
[0161] Optionally, the cleaning equipment information is determined through the overlap degree of the cleaning area corresponding to the target cleaning track and the workable area corresponding to the cleaning equipment.
[0162] Optionally, the overlap degree includes greater than 1, and / or less than or equal to 1 but greater than or equal to 0.8, and / or less than 0.8, and the embodiments of the present application are not limited.
[0163] In this optional embodiment, as an optional implementation, when the overlap degree of the workable area corresponding to any cleaning equipment and the cleaning area corresponding to the target cleaning track is greater than or equal to 0.8, the cleaning equipment is selected as the target cleaning equipment corresponding to the target cleaning track, and the cleaning equipment information is determined.
[0164] In this optional embodiment, as another optional implementation, any target cleaning track can correspond to multiple cleaning equipment. When the overlap degree of the workable area of several cleaning equipment and the cleaning area corresponding to the target cleaning track is greater than or equal to 0.8, the several cleaning equipment is selected as the target cleaning equipment corresponding to the target cleaning track, and the several cleaning equipment information is determined.
[0165] It can be seen that the intelligent cleaning equipment automatic control method described in the embodiments of the present application can process the intelligent shoe track information to obtain the target cleaning track, and then the cleaning equipment selection rule processes the target cleaning track set to obtain the cleaning equipment information, and then the cleaning parameter setting rule processes the cleaning equipment information to obtain the cleaning instruction for instructing the intelligent cleaning equipment to perform cleaning work, which is beneficial to improve the target cleaning ability of the intelligent cleaning equipment, and then improve the cleaning effect and improve the cleaning efficiency.
[0166] In an optional embodiment, the step 204 of processing the cleaning equipment information set by using the cleaning parameter setting rule to obtain a cleaning instruction set includes:
[0167] For any cleaning equipment information, the target cleaning area information matched with the cleaning equipment information is filtered out from the target cleaning track set;
[0168] The target cleaning area information is processed to obtain the cleaning parameter information corresponding to the cleaning equipment information;
[0169] According to the cleaning parameter information corresponding to the cleaning equipment information, the cleaning instruction corresponding to the cleaning equipment information is determined.
[0170] Optionally, the above cleaning parameter information includes cleaning intensity parameters, and / or cleaning time parameters, and / or cleaning path parameters, which are not limited in this embodiment of the invention.
[0171] Optionally, each of the above cleaning devices corresponds to a unique cleaning command.
[0172] It is evident that the automated control method for the intelligent cleaning equipment described in the embodiments of the present invention can filter out target cleaning area information that matches the cleaning equipment information. By comprehensively processing the target cleaning area information, the cleaning instructions corresponding to the cleaning equipment information are obtained, which is more conducive to improving the targeted cleaning ability of the intelligent cleaning equipment, thereby improving the cleaning effect and increasing the cleaning efficiency.
[0173] Example 3
[0174] Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an automated control device for an intelligent cleaning equipment disclosed in an embodiment of the present invention. Figure 3 The described device can be applied to intelligent cleaning systems, such as local servers or cloud servers for the automated control and management of intelligent cleaning equipment, etc., and the embodiments of the present invention are not limited thereto. Figure 3 As shown, the device may include:
[0175] The acquisition module 301 is used to acquire a set of smart slipper trajectory information; the smart slipper trajectory information set includes several smart slipper trajectory information sets;
[0176] The first determining module 302 is used to determine the target cleaning trajectory set based on the intelligent slipper trajectory information set; the target cleaning trajectory set includes several target cleaning trajectories.
[0177] The second determining module 303 is used to determine a set of cleaning instructions based on the target cleaning trajectory set and the preset trajectory cleaning rules; the set of cleaning instructions includes several cleaning instructions; the cleaning instructions are used to instruct the intelligent cleaning device to perform cleaning operations.
[0178] It is evident that implementation Figure 3 The automated control device of the described intelligent cleaning equipment can process the trajectory information of the intelligent slippers to obtain the target cleaning trajectory, and then process the target cleaning trajectory using trajectory cleaning rules to obtain cleaning instructions for instructing the intelligent cleaning design to carry out cleaning operations. This helps to improve the targeted cleaning ability of the intelligent cleaning equipment, thereby improving the cleaning effect and increasing cleaning efficiency.
[0179] In another alternative embodiment, such as Figure 4 As shown, the first determining module 302 includes a first determining submodule 3021 and a second determining submodule 3022, wherein:
[0180] The first determining submodule 3021 is used to determine the cleaning trajectory area information set based on the smart slipper trajectory information set and the preset trajectory area integration rules; the cleaning trajectory area information set includes several cleaning trajectory area information sets;
[0181] The second determining submodule 3022 is used to determine the target cleaning trajectory set based on the cleaning trajectory area information set and the preset cleaning trajectory determination rules.
[0182] It is evident that implementation Figure 4 The automated control device of the described intelligent cleaning equipment can process the trajectory information of the intelligent slippers through trajectory area integration rules to obtain several cleaning trajectory area information, and then use the cleaning trajectory determination rules to determine the target cleaning trajectory, which helps to improve the targeted cleaning ability of the intelligent cleaning equipment, thereby improving the cleaning effect and increasing the cleaning efficiency.
[0183] In yet another alternative embodiment, such as Figure 4 As shown, the first determining submodule 3021 determines the cleaning trajectory area information set in the following specific way based on the smart slipper trajectory information set and the preset trajectory area integration rules:
[0184] Based on the smart slipper trajectory information set and the preset trajectory area generation rules, a set of trajectory area information to be used is determined; the set of trajectory area information to be used includes several trajectory area information to be used.
[0185] The set of trajectory area information to be used is processed to obtain the set of cleaning trajectory area information.
[0186] It is evident that implementation Figure 4 The automated control device of the described intelligent cleaning equipment can process the trajectory information of the intelligent slippers using trajectory area generation rules to obtain several trajectory area information to be used. By processing the trajectory area information to be used, the cleaning trajectory area information is determined, which helps to improve the targeted cleaning ability of the intelligent cleaning equipment, thereby improving the cleaning effect and increasing the cleaning efficiency.
[0187] In yet another alternative embodiment, such as Figure 4 As shown, the smart slipper trajectory information includes user identity information and the first trajectory time information;
[0188] Before the first determining submodule 3021 processes the set of trajectory area information to be used to obtain the set of cleaning trajectory area information, the first determining submodule 3021 is also used to determine the set of historical trajectory area information based on the user identity information and the first trajectory time information; the set of historical trajectory area information includes several historical trajectory area information.
[0189] The first determining submodule 3021 processes the to-be-used trajectory area information set, and the specific manner of obtaining the cleaning trajectory area information set is as follows:
[0190] The historical trajectory area information set is used to integrate and process the to-be-used trajectory area information set, to obtain a candidate trajectory area information set; the candidate trajectory area information set includes a plurality of candidate trajectory area information;
[0191] The candidate trajectory area information set is screened to obtain the cleaning trajectory area information set.
[0192] It can be seen that the implementation Figure 4 The described automatic control device of the intelligent cleaning equipment can intelligently process the historical trajectory area information by using the user identity information and the first trajectory time information, and determine a plurality of candidate trajectory area information in combination with the to-be-used trajectory area information, and then determine the cleaning trajectory area information, which is more conducive to improving the targeted cleaning capability of the intelligent cleaning equipment, and then improving the cleaning effect and the cleaning efficiency.
[0193] In yet another optional embodiment, as Figure 4 The cleaning trajectory area information includes an initial trajectory weight and second trajectory time information;
[0194] The second determining submodule 3022 determines the target cleaning trajectory set according to the cleaning trajectory area information set and a preset cleaning trajectory determination rule, and the specific manner is as follows:
[0195] For any cleaning trajectory area information, the initial trajectory weight corresponding to the cleaning trajectory area information is modified by using the second trajectory time information corresponding to the cleaning trajectory area information, to obtain the modified trajectory weight corresponding to the cleaning trajectory area information;
[0196] The cleaning trajectory area information set is sorted in descending order of the modified trajectory weight, to obtain a trajectory weight sequence;
[0197] The trajectory weight sequence is processed to determine the target cleaning trajectory set.
[0198] It can be seen that the implementation Figure 4 The described automatic control device of the intelligent cleaning equipment can modify the initial trajectory weight of the cleaning trajectory area information to obtain the modified trajectory weight, and then sort the cleaning trajectory area information to obtain the trajectory weight sequence, and then determine the target cleaning trajectory, which is more conducive to improving the targeted cleaning capability of the intelligent cleaning equipment, and then improving the cleaning effect and the cleaning efficiency.
[0199] In yet another optional embodiment, as Figure 4As shown, the track cleaning rule includes a cleaning device selection rule and a cleaning parameter setting rule;
[0200] The second determining module 303 includes a first processing sub-module 3031 and a second processing sub-module 3032.
[0201] The first processing sub-module 3031 is configured to process the target cleaning track set according to the cleaning device selection rule to obtain a cleaning device information set; the cleaning device information set includes a plurality of cleaning device information.
[0202] The second processing sub-module 3032 is configured to process the cleaning device information set according to the cleaning parameter setting rule to obtain a cleaning instruction set.
[0203] It can be seen that the implementation Figure 4 The described intelligent cleaning device automatic control device can process the intelligent shoe track information to obtain the target cleaning track, and then the cleaning device selection rule processes the target cleaning track set to obtain the cleaning device information, and then the cleaning parameter setting rule processes the cleaning device information to obtain the cleaning instruction for instructing the intelligent cleaning device to perform the cleaning operation, which is beneficial to improve the targeted cleaning ability of the intelligent cleaning device, and thus improve the cleaning effect and the cleaning efficiency.
[0204] In yet another optional embodiment, as Figure 4 The second processing sub-module 3032 processes the cleaning device information set according to the cleaning parameter setting rule to obtain the specific manner of the cleaning instruction set:
[0205] For any cleaning device information, the target cleaning area information matched with the cleaning device information is filtered out from the target cleaning track set;
[0206] The target cleaning area information is processed to obtain the cleaning parameter information corresponding to the cleaning device information;
[0207] According to the cleaning parameter information corresponding to the cleaning device information, the cleaning instruction corresponding to the cleaning device information is determined.
[0208] It can be seen that the implementation Figure 4 The described intelligent cleaning device automatic control device can filter out the target cleaning area information matched with the cleaning device information, and through the comprehensive processing of the target cleaning area information, the cleaning instruction corresponding to the cleaning device information is obtained, which is more beneficial to improve the targeted cleaning ability of the intelligent cleaning device, and thus improve the cleaning effect and the cleaning efficiency.
[0209] Embodiment Four
[0210] Please refer to Figure 5 ,Figure 5 is a structural schematic diagram of another automatic control device of an intelligent cleaning device disclosed by the embodiment of the present application. Wherein, Figure 5 The described device can be applied to an intelligent cleaning system, such as a local server or a cloud server for automatic control management of an intelligent cleaning device, and the embodiment of the present application is not limited. For example, Figure 5 As shown in the figure, the device can include:
[0211] a memory 401 storing executable program codes;
[0212] a processor 402 coupled with the memory 401;
[0213] The processor 402 calls the executable program codes stored in the memory 401, which are used to execute the steps in the automatic control method of the intelligent cleaning device described in embodiment one or embodiment two.
[0214] Embodiment five
[0215] The embodiment of the present application discloses a computer readable storage medium for electronic data exchange, which stores a computer program, wherein the computer program makes the computer execute the steps in the automatic control method of the intelligent cleaning device described in embodiment one or embodiment two.
[0216] Embodiment six
[0217] The embodiment of the present application discloses a computer program product, which includes a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to make a computer execute the steps in the automatic control method of the intelligent cleaning device described in embodiment one or embodiment two.
[0218] The device embodiments described above are only schematic, wherein the modules illustrated as separate components can or can not be physically separated, and the components illustrated as modules can or can not be physical modules, that is, they can be located in one place, or distributed on multiple network modules. Part or all of the modules can be selected to achieve the purpose of the embodiment scheme according to actual needs. Those skilled in the art can understand and implement it without creative labor.
[0219] Those skilled in the art can clearly understand the implementation of the various embodiments by means of software and the necessary general hardware platform through the above specific description of the embodiments, and of course, the embodiments can also be implemented by hardware. Based on such understanding, the above technical solutions, essentially or in other words, the part of the prior art that contributes to the present application can be embodied in the form of a software product. The computer software product can be stored in a computer readable storage medium, including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disk storage, a magnetic disk storage, a magnetic tape storage, or any other computer readable medium that can be used to carry or store data.
[0220] Finally, it should be noted that: the automatic control method and device of the intelligent cleaning equipment disclosed by the embodiments of the present application are only the preferred embodiments of the present application, and are used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that; the technical solutions recorded in the foregoing embodiments can still be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. An automated control method for an intelligent cleaning device, characterized in that, The method comprises: acquiring a smart slippers trajectory information set; the smart slippers trajectory information set comprises a plurality of smart slippers trajectory information; determining a target cleaning trajectory set according to the smart slippers trajectory information set; the target cleaning trajectory set comprises a plurality of target cleaning trajectories; determining a cleaning instruction set according to the target cleaning trajectory set and a preset trajectory cleaning rule; the cleaning instruction set comprises a plurality of cleaning instructions; the cleaning instructions are used to instruct a smart cleaning device to perform cleaning work; wherein, determining the target cleaning trajectory set according to the smart slippers trajectory information set comprises: determining a cleaning trajectory area information set according to the smart slippers trajectory information set and a preset trajectory area integration rule; the cleaning trajectory area information set comprises a plurality of cleaning trajectory area information; determining the target cleaning trajectory set according to the cleaning trajectory area information set and a preset cleaning trajectory determination rule; wherein, determining the cleaning trajectory area information set according to the smart slippers trajectory information set and the preset trajectory area integration rule comprises: determining a to-be-used trajectory area information set according to the smart slippers trajectory information set and a preset trajectory area generation rule; the to-be-used trajectory area information set comprises a plurality of to-be-used trajectory area information; processing the to-be-used trajectory area information set to obtain a cleaning trajectory area information set; wherein, determining the to-be-used trajectory area information set according to the smart slippers trajectory information set and the preset trajectory area generation rule comprises: for any smart slippers trajectory information, determining trajectory expansion distance information corresponding to the smart slippers trajectory information by using a preset trajectory expansion coefficient; processing user activity trajectory positioning information corresponding to the smart slippers trajectory information by using the trajectory expansion distance information corresponding to the smart slippers trajectory information to obtain to-be-used trajectory area information corresponding to the smart slippers trajectory information; or, processing the trajectory expansion distance information corresponding to the smart slippers trajectory information to obtain a closed-loop trajectory information set; the closed-loop trajectory information set comprises a plurality of closed-loop trajectory information; screening the closed-loop trajectory information set to obtain to-be-used trajectory area information corresponding to the smart slippers trajectory information. 2.The method of claim 1, wherein, The smart slippers trajectory information comprises user identity information and first trajectory time information; before processing the to-be-used trajectory area information set to obtain a cleaning trajectory area information set, the method further comprises: determining a historical trajectory area information set according to the user identity information and the first trajectory time information; the historical trajectory area information set comprises a plurality of historical trajectory area information; processing the to-be-used trajectory area information set to obtain a cleaning trajectory area information set comprises: integrating and processing the to-be-used trajectory area information set by using the historical trajectory area information set to obtain a candidate trajectory area information set; the candidate trajectory area information set comprises a plurality of candidate trajectory area information; The candidate trajectory region information set is filtered to obtain a cleaning trajectory region information set. 3.The method of claim 1, wherein, The cleaning trajectory region information comprises initial trajectory weight and second trajectory time information. The target cleaning trajectory set is determined according to the cleaning trajectory region information set and a preset cleaning trajectory determination rule, which comprises: For any cleaning trajectory region information, the initial trajectory weight corresponding to the cleaning trajectory region information is modified by using the second trajectory time information corresponding to the cleaning trajectory region information to obtain the modified trajectory weight corresponding to the cleaning trajectory region information; The cleaning trajectory region information set is sorted according to the modified trajectory weight from large to small to obtain a trajectory weight sequence; The target cleaning trajectory set is determined by processing the trajectory weight sequence. 4.The method of claim 1, wherein, The trajectory cleaning rule comprises a cleaning equipment selection rule and a cleaning parameter setting rule. The cleaning instruction set is determined according to the target cleaning trajectory set and a preset trajectory cleaning rule, which comprises: The cleaning equipment information set is obtained by processing the target cleaning trajectory set by using the cleaning equipment selection rule; the cleaning equipment information set comprises cleaning equipment information. The cleaning instruction set is obtained by processing the cleaning equipment information set by using the cleaning parameter setting rule. 5.The method of claim 4, wherein, The cleaning instruction set is obtained by processing the cleaning equipment information set by using the cleaning parameter setting rule, which comprises: For any cleaning equipment information, the target cleaning region information matched with the cleaning equipment information is filtered from the target cleaning trajectory set; The cleaning parameter information corresponding to the cleaning equipment information is obtained by processing the target cleaning region information; The cleaning instruction corresponding to the cleaning equipment information is determined according to the cleaning parameter information corresponding to the cleaning equipment information.
6. An automatic control device of an intelligent cleaning apparatus, characterized by, The device is used to execute the automatic control method of the intelligent cleaning equipment, and the device comprises: An acquisition module is configured to acquire a smart shoe trajectory information set; the smart shoe trajectory information set comprises smart shoe trajectory information. A first determination module is configured to determine a target cleaning trajectory set according to the smart shoe trajectory information set; the target cleaning trajectory set comprises target cleaning trajectories. A second determination module is configured to determine a cleaning instruction set according to the target cleaning trajectory set and a preset trajectory cleaning rule; the cleaning instruction set comprises cleaning instructions; the cleaning instructions are used to instruct the intelligent cleaning equipment to perform cleaning work.
7. An automatic control device of an intelligent cleaning device, characterized by, The device comprises: A memory storing executable program codes; A processor coupled with the memory; The processor invokes the executable program codes stored in the memory to execute the automatic control method of the intelligent cleaning equipment.
8. A computer storable medium, characterized by The computer storage medium stores computer instructions; when the computer instructions are invoked, the automatic control method of the intelligent cleaning equipment is executed.
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