CN117082691A - Intelligent adjusting method and system for medical shadowless lamp - Google Patents
Intelligent adjusting method and system for medical shadowless lamp Download PDFInfo
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- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
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Abstract
The application provides an intelligent adjusting method and system of a medical shadowless lamp, which relate to the technical field of intelligent adjustment and comprise the following steps: generating position limit coordinates according to the fixed position of the shadowless lamp, the basic attribute data of the shadowless lamp and the fixed environment data, carrying out control initialization, constructing an initial environment set, carrying out space travel updating, including a position prohibition result and a path prohibition result, generating target area data including area position and area characteristics, constructing an intelligent control scheme set by fitting and calibrating a avoidance template, the target area data and the space travel updating result through an intelligent decision unit, receiving user feedback data, and executing a selected scheme in the intelligent control scheme set on the shadowless lamp. The application solves the technical problems that the traditional medical shadowless lamp is generally limited by a fixed position and a travel range, cannot perform motion planning according to a real-time environment, and has poor adjusting effect due to lack of real-time interaction and personalized control with a user.
Description
Technical Field
The application relates to the technical field of intelligent regulation, in particular to an intelligent regulation method and system of a medical shadowless lamp.
Background
Along with the continuous progress of medical technology, the requirements on a light source in the operation process are higher and higher, and the modern medical shadowless lamp can flexibly adjust the illumination intensity and angle according to the operation requirement by introducing an adjustable optical system and precise electronic control, so that doctors can obtain better visual fields and working environments, the operation accuracy and safety are improved, better treatment effects are provided for patients, meanwhile, the intelligent and digital development of operating room equipment is promoted by the adjusting technology of the medical shadowless lamp, and a foundation is laid for the innovation of future medical technology.
The conventional adjusting method of the medical shadowless lamp also has certain defects, and the conventional medical shadowless lamp is usually limited by a fixed position and a travel range, so that the conventional medical shadowless lamp cannot flexibly move under a specific task or a complex environment; in a medical environment, the shadowless lamp needs to carry out motion planning according to a real-time environment, so that collision or interference with other equipment is avoided; moreover, conventional medical shadowless lamps also lack real-time interaction and personalized control with the user. Therefore, a certain liftable space exists for intelligent adjustment of the medical shadowless lamp.
Disclosure of Invention
The application provides an intelligent adjusting method and system of a medical shadowless lamp, and aims to solve the technical problems that the traditional medical shadowless lamp is limited by a fixed position and a travel range, cannot perform motion planning according to a real-time environment, and has poor adjusting effect due to lack of real-time interaction and personalized control with a user.
In view of the above problems, the application provides an intelligent adjusting method and system of a medical shadowless lamp.
In a first aspect of the disclosure, an intelligent adjustment method for a medical shadowless lamp is provided, the method comprising: setting a space travel interval, wherein the space travel interval is a position limit coordinate generated according to the fixed position of the shadowless lamp, the basic attribute data of the shadowless lamp and the fixed environment data; the control initialization of the intelligent decision unit is carried out through the space travel interval, and an initial environment set is constructed after the initialization is completed, wherein the initial environment set is an environment data set constructed through images acquired by a depth sensor embedded in the shadowless lamp; carrying out space travel updating on the space travel interval according to the environment data set, wherein the space travel updating result comprises a position prohibiting result and a path prohibiting result; generating target area data, wherein the target area data comprises area positions and area characteristics, and the target area data is obtained based on real-time depth image recognition after receiving user interaction data; an intelligent control scheme set is constructed, and the intelligent control scheme set is generated by fitting a calibration avoidance template, the target area data and the space travel updating result through an intelligent decision unit; and receiving user feedback data, and executing a selected scheme in the intelligent control scheme set on the shadowless lamp through the user feedback data.
In another aspect of the disclosure, an intelligent adjustment system for a medical shadowless lamp is provided, the system is used in the method, and the system includes: the system comprises a travel interval setting module, a travel interval setting module and a control module, wherein the travel interval setting module is used for setting a space travel interval, and the space travel interval is a position limit coordinate generated according to a fixed position of the shadowless lamp, basic attribute data of the shadowless lamp and fixed environment data; the control initialization module is used for performing control initialization of the intelligent decision unit through the space travel interval and constructing an initial environment set after the initialization is completed, wherein the initial environment set is an environment data set constructed through images acquired by a depth sensor embedded in the shadowless lamp; the space travel updating module is used for carrying out space travel updating on the space travel interval according to the environment data set, and the space travel updating result comprises a position prohibition result and a path prohibition result; the regional data generation module is used for generating target regional data, wherein the target regional data comprise regional positions and regional characteristics, and the target regional data are obtained based on real-time depth image recognition after receiving user interaction data; the control scheme set construction module is used for constructing an intelligent control scheme set, and the intelligent control scheme set is generated by fitting and calibrating an avoidance template, the target area data and the space travel updating result through an intelligent decision unit; and the feedback data receiving module is used for receiving user feedback data and executing a selected scheme in the intelligent control scheme set on the shadowless lamp through the user feedback data.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
by setting a space travel interval, generating position limit coordinates according to the fixed position, the basic attribute data and the fixed environment data of the shadowless lamp, the position limit of the medical shadowless lamp is expanded, and the medical shadowless lamp has greater flexibility under specific tasks or complex environments; the depth sensor embedded in the shadowless lamp is utilized to collect image data and generate target area data and a space travel updating result, so that the shadowless lamp can plan a motion path based on barrier information in an environment data set, and collision or interference with other equipment is avoided; by receiving the user interaction data and the feedback data and combining the intelligent decision unit to generate an intelligent control scheme set, the real-time interaction and personalized control of the user and the shadowless lamp are realized, and the user can delineate the area to be irradiated through the interaction data and provide focus or other relevant information, so that accurate motion planning and control are realized. In summary, the intelligent adjusting method brings technical effects of flexibility, environment perception, personalized control and the like to the motion control of the medical shadowless lamp, and provides a more efficient, safe and user-friendly solution to the illumination application in the medical environment.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
Fig. 1 is a schematic flow chart of an intelligent adjusting method of a medical shadowless lamp according to an embodiment of the application;
fig. 2 is a schematic structural diagram of an intelligent adjusting system of a medical shadowless lamp according to an embodiment of the application.
Reference numerals illustrate: the system comprises a journey zone setting module 10, a control initializing module 20, a space journey updating module 30, a region data generating module 40, a control scheme set constructing module 50 and a feedback data receiving module 60.
Detailed Description
The embodiment of the application solves the technical problems that the traditional medical shadowless lamp is limited by a fixed position and a travel range, cannot perform motion planning according to a real-time environment, and has poor adjusting effect due to lack of real-time interaction and personalized control with a user by providing the intelligent adjusting method of the medical shadowless lamp.
Having described the basic principles of the present application, various non-limiting embodiments of the present application will now be described in detail with reference to the accompanying drawings.
Example 1
As shown in fig. 1, an embodiment of the present application provides an intelligent adjustment method for a medical shadowless lamp, where the method includes:
setting a space travel interval, wherein the space travel interval is a position limit coordinate generated according to the fixed position of the shadowless lamp, the basic attribute data of the shadowless lamp and the fixed environment data;
according to design requirements, the installation position of the shadowless lamp, namely the fixed position of the shadowless lamp, is determined by measuring instruments or performing space simulation by using software such as CAD (computer aided design) and the like; collecting relevant parameters of the shadowless lamp, including the height, the angle range, the position of a rotating shaft and the like of the lamp cap, wherein the data are used for calculating the movement range of the lamp; fixed environmental data is collected, including position and size information of walls, other appliances, etc. that may collide with the shadowless lamp, taking into account the limitations of the surrounding environment on the movement of the shadowless lamp.
The fixed position, basic attribute data and fixed environment data of the shadowless lamp are combined, computer aided design software (CAD) is used, and the movable position limit coordinates of the shadowless lamp are calculated according to the safety factors and the use requirements, wherein the coordinates define the maximum movable range of the shadowless lamp in the fixed position, so that the movement of the shadowless lamp in a travel range can not cause collision or other accidents. And according to the calculated position limit coordinates, the motion parameters of the shadowless lamp are adjusted or a software control interface is set, so that the shadowless lamp is converted into an actual operable travel range.
The control initialization of the intelligent decision unit is carried out through the space travel interval, and an initial environment set is constructed after the initialization is completed, wherein the initial environment set is an environment data set constructed through images acquired by a depth sensor embedded in the shadowless lamp;
the intelligent decision unit is a key component for analyzing and deciding the environmental data to realize intelligent control and behavior. According to the set space travel interval, initializing control parameters of the intelligent decision unit according to a set range, acquiring images of surrounding environments by using a depth sensor embedded in the shadowless lamp, wherein the depth sensor can acquire distance information of objects so as to generate three-dimensional point cloud data, processing the acquired depth images, extracting information such as positions, sizes and shapes of the objects, and the like, analyzing and algorithmically processing the point cloud data so as to obtain representations of objects such as barriers, walls and the like in the environments, storing the object information in the environments as an initial environment set according to the processed image data and the point cloud data, wherein the set can be used for sensing and understanding the environments of various objects.
Carrying out space travel updating on the space travel interval according to the environment data set, wherein the space travel updating result comprises a position prohibiting result and a path prohibiting result;
determining which positions are prohibited, i.e. positions to which the shadowless lamp is not allowed to move, based on the object position and size information in the environmental data set, e.g. if a certain position is identified as an obstacle or beyond a movable range, the position will be marked as a prohibited position, the obtained position prohibition will provide a list or map showing positions to which the shadowless lamp is not allowed to move;
based on object position and size information in the environmental data set, it is determined which paths are forbidden, i.e. paths that the shadowless lamp cannot pass, which paths may be hindered by walls, obstacles or other limiting factors, and the obtained path forbidden results provide a list of paths or connecting lines, indicating paths that the shadowless lamp cannot pass.
The obstacle avoidance and path planning can be performed in the intelligent decision unit through the position prohibition result and the path prohibition result, and the intelligent decision unit uses the results to plan the movement track of the shadowless lamp so as to ensure that the shadowless lamp avoids the prohibition position and path, thereby realizing safe and effective movement.
Generating target area data, wherein the target area data comprises area positions and area characteristics, and the target area data is obtained based on real-time depth image recognition after receiving user interaction data;
the camera is used for collecting images and displaying the images to a user, the user circles out an area needing a shadowless lamp on the images, focus data such as lesion positions or other relevant information are provided, and the data are used as user interaction data for determining a target area. And (3) collecting a depth image of the area outlined by the user by utilizing a depth sensor embedded in the shadowless lamp, identifying a target area based on the real-time depth image, and extracting the position and the characteristics of the target area by analyzing the depth image. The identified target region locations and features, which may include color, texture, shape, etc., by which the target region may be further described, are saved as target region data, wherein the target region locations may be represented as coordinates or pixel values to determine locations in the depth image.
An intelligent control scheme set is constructed, and the intelligent control scheme set is generated by fitting a calibration avoidance template, the target area data and the space travel updating result through an intelligent decision unit;
according to actual requirements, a set of avoidance templates are designed and calibrated in advance, and the templates describe a motion planning strategy of the shadowless lamp under specific conditions so as to ensure that the shadowless lamp avoids forbidden positions and paths. Integrating the generated target area data and the space travel updating result into an intelligent decision unit, and utilizing the intelligent decision unit integrating the target area data and the space travel updating result to generate an intelligent control scheme set by fitting a calibration avoidance template, wherein the control schemes provide specific motion planning strategies for different situations and target areas, and the intelligent control scheme set comprises control instructions such as path planning, motion speed adjustment, gesture adjustment and the like. By constructing the intelligent control scheme set, accurate motion planning can be performed according to target area data while the shadowless lamp avoids forbidden areas and paths, so that the operation efficiency is improved, the risk is reduced, and the requirements of specific tasks are met.
And receiving user feedback data, and executing a selected scheme in the intelligent control scheme set on the shadowless lamp through the user feedback data.
A feedback mechanism is established to allow a user to provide real-time feedback data of the movement or operation of the shadowless lamp, including evaluation of the position, the posture, the speed and the like of the shadowless lamp by the user, the received feedback data of the user are transmitted to an intelligent decision unit for analysis, and a proper scheme is selected from an intelligent control scheme set according to the feedback of the user, and the scheme is matched with the requirement and the feedback of the user and can optimize the movement control of the shadowless lamp. And according to the selected intelligent control scheme, performing corresponding control operation on the shadowless lamp, including adjusting parameters such as position, speed, gesture and the like, so that the shadowless lamp meets the expectations of users.
By receiving the user feedback data and executing the intelligent control scheme, real-time interaction and personalized control with the user can be realized, and the shadowless lamp can better adapt to specific task and environment requirements.
Further, the method further comprises the following steps:
setting a first template constraint, wherein the first template constraint is a position template constraint, and the position template constraint is constructed through the region position and the user interaction data; setting a second template constraint, wherein the second template constraint is a quantity constraint, and the quantity constraint is constructed by calling the quantity of users of the user interaction data; setting a third template constraint, wherein the third template constraint is a habit constraint, and the habit constraint is constructed by calling a user database of an operation user; and calling a template database through the first template constraint, the second template constraint and the third template constraint, and constructing the calibration avoidance template according to a calling result.
Constructing a position template constraint by using the region position and the user interaction data, specifically, determining the position of a target region to be irradiated according to the user interaction data, wherein the target region is a specific region where a focus delineated on an image by a user is located, such as a nose, eyes and the like; in addition to the location of the area, the user interaction data, including user height information, which may be provided by the user or obtained by other sensors, may be used to further consider constraints in spatial travel updates and location template constraints. The obtained position template constraint ensures that the position of the shadowless lamp meets the user requirement, and the specific position of the injury is considered, so that the position template constraint is used in the position control and motion planning process of the intelligent decision unit.
In the user interaction data, in addition to the area position and other related information, the number information of the users is recorded, which is acquired by a counting or sensor built-in people detection function. According to the user quantity information in the user interaction data, constructing a quantity constraint as a second template constraint, wherein the constraint ensures that the lighting service of the shadowless lamp meets the specific quantity of user requirements, and by calling the user quantity information in the user interaction data, the lighting requirements of each user can be considered in an intelligent decision unit so as to provide proper illumination intensity and lighting range. And setting a second template constraint, and adjusting parameters such as illumination intensity, lamp angle, coverage range and the like according to the quantity information in the user interaction data so as to provide illumination effects suitable for a specific number of users.
Establishing a user database, storing personal information, preference, habit and other data of the user, wherein the data can comprise illumination preference, favored illumination intensity, color temperature, dimming degree and the like of the user, and constructing habit constraint as a third template constraint according to the information in the user database, wherein the constraint adjusts illumination parameters of the shadowless lamp according to the personal habit and preference of the user. By calling the data in the user database, the intelligent decision unit can automatically control illumination according to the habit of the user, and provide illumination effect conforming to personal habit.
The calling results of the first template constraint, the second template constraint and the third template constraint are integrated to construct a calibration avoidance template, and the template contains comprehensive information of position limitation, quantity constraint and habit constraint and is used for a motion planning and control process in the intelligent decision unit, so that a more accurate, efficient and illumination experience meeting the requirements of users is provided.
Further, the method further comprises the following steps:
after the shadowless lamp control is stopped, executing a verification instruction of the control; constructing a verification result set, wherein the verification result set is obtained by carrying out shadow feature recognition according to a verification image, and the verification image is obtained by controlling a depth sensor to acquire through the verification instruction; generating feedback control data, wherein the feedback control data comprises light intensity control data, array optimization data and position adjustment data, and the feedback control data is generated by analyzing the verification result set; and carrying out compensation control on the shadowless lamp through the feedback control data.
When the control operation of the shadowless lamp is finished, a verification instruction of the control is executed to verify the state, position and other relevant parameters of the shadowless lamp, and the instructions comprise checking the current position, posture, movement state and the like of the shadowless lamp and confirming whether the shadowless lamp is completely stopped and in a safe state.
And controlling the depth sensor to acquire an image according to the executed verification instruction, and acquiring verification image data, wherein the image data comprises real-time conditions of the shadowless lamp and the surrounding environment thereof, and the verification image can provide a detection object for analysis and verification. Shadow feature recognition is performed on the acquired verification image through an image processing algorithm, and for example, information such as the position, the shape and the intensity of the shadow can be recognized. Based on the result of shadow feature recognition, a verification result set is constructed, which contains information about shadow features, and their position in the verification image and adjustment requirements.
Analyzing the collected verification result set, including processing shadow features, position information and other related parameters, specifically, generating corresponding light intensity control data according to the shadow features, including adjusting parameters such as light brightness, direction, color temperature and the like to optimize the lighting effect; generating array optimization data by utilizing the position information, wherein the data can guide the layout and adjustment of each lamp in the shadowless lamp array so as to realize more uniform illumination distribution and optimal coverage; according to the position adjustment requirement, corresponding position adjustment data are generated, and the data can be used for controlling the movement and posture adjustment of the shadowless lamp so as to meet the specific position requirement or avoid specific obstacles. And generating feedback control data by analyzing the verification result set, so as to realize accurate control and adjustment of the shadowless lamp according to actual conditions.
And according to the indication of the light intensity control data, the array optimization data and the position adjustment data in the feedback control data, accurately adjusting the shadowless lamp to optimize the lighting effect and the position accuracy, further improving the lighting quality, reducing the bad lighting and the error and providing better user experience.
Further, the method further comprises the following steps:
constructing a shadow response trigger database, wherein the trigger database is constructed by collecting mapping of shadow characteristics and processing parameters; performing the trigger database preliminary screening with the selected scheme as base match data; performing preliminary screening by using the extracted features of the verification result set, and performing similarity matching on the trigger database; and generating the feedback control data according to the mapping processing parameters of the similar matching result.
Image data of different shadow features, including position, shape, intensity, etc. of the shadows are collected using a depth sensor, and for each shadow feature, corresponding process parameters are collected, which are adjustment values related to the light source, the luminaire, the color temperature, the brightness, etc. The collected shadow features and their corresponding processing parameter mappings are stored in a trigger database so that when similar shadow features reappear, the system can trigger corresponding processing operations according to the mappings in the database.
The key parameters in the selected scheme are matched with the data in the trigger database, in particular, the specific parameters in the selected scheme are compared with the shadow feature map in the database to determine whether a matching item exists, the mapping data matched with the selected scheme in the trigger database are preliminarily screened according to the matching result, the mapping data can be regarded as trigger conditions, and when similar shadow features are detected, the system can trigger corresponding processing operation according to the mapping data.
The extracted features are compared with data in the database after the preliminary screening, and whether similar matching items exist or not is determined, so that mapping data in the database similar to the extracted features in the verification result set are searched for and used as triggering conditions for response and processing operations.
According to the similarity matching operation, database mapping data similar to the features in the verification result set are obtained, mapping processing parameters are extracted from the similarity matching result, the parameters comprise light intensity control data, position adjustment data and other relevant parameters, and feedback control data are generated based on the extracted mapping processing parameters. By generating feedback control data, the system can accurately optimize and adjust the shadowless lamp according to the mapping processing parameters in the similar matching result, thereby realizing more accurate, efficient and personalized lighting effect.
Further, the method further comprises the following steps:
judging whether the feedback control data triggers the position prohibition result or the path prohibition result; when the feedback control data triggers any one of the position prohibition result or the path prohibition result, a compensation reconstruction instruction is generated; and re-executing feedback control data generation through the compensation reconstruction instruction.
For the acquired feedback control data, checking whether there is a condition matching with the position prohibition result, for example, comparing with the coordinates or range of the prohibition area, and determining whether there is a conflict or overlap; whether the path conflicts with the path prohibition result, for example, is compared with a defined prohibition path or obstacle, and it is determined whether there is an intersection or violation therewith. Based on the determination of the position inhibit result and the path inhibit result, it is determined whether the feedback control data would cause an inhibit result, and if any conflict or violation exists, it is determined that the feedback control data triggered the position inhibit result or the path inhibit result.
If the feedback control data triggers any one of the position prohibition result or the path prohibition result, a corresponding compensation reconstruction instruction is generated according to the actual situation, and the instruction comprises the steps of planning the movement path again, adjusting the lamplight direction or intensity and the like. The generated compensation reconstruction instruction is used in the shadowless lamp system to realize corresponding adjustment and correction operations.
And re-executing the feedback control data generation process by using the compensation reconstruction instruction, wherein the feedback control data generation process comprises the steps of finding other schemes, re-calculating the light intensity control data, array optimization data, position adjustment data and the like so as to meet the corrected requirements. And updating the feedback control data according to the re-execution result to ensure that the feedback control data is consistent with the adjustment in the compensation reconstruction instruction, thereby ensuring that the system is corrected in time when the position prohibition result or the path prohibition result occurs and providing a more accurate and safe lighting effect.
Further, the method further comprises the following steps:
sending fixed verification to a user, and receiving real-time feedback data of the user; if the real-time feedback data is a non-fixed result, the shadowless lamp is placed in a dynamic state, and a manual adjustment termination result of a user is recorded; binding the manual adjustment termination result with the target area data, recording the binding result as user characteristics, and updating the binding result to a user characteristic library; and executing the optimizing constraint of the follow-up intelligent control scheme set through the user feature library.
The system sends a verification request to the user, inquires whether the current operation of the user is a fixed operation or not, and can inform the user through popup windows, prompt messages and the like, the user carries out corresponding selection according to the verification request of the system, and the user can answer the verification request of the system through clicking a button, selecting options and the like to generate real-time feedback data, wherein the real-time feedback data comprises a non-fixed result and a fixed result.
When the real-time feedback data is determined to be a non-fixed result, the shadowless lamp is set in a dynamic state, which means that the shadowless lamp can be correspondingly adjusted according to the operation of a user so as to meet the requirements of the user, for example, the shadowless lamp can correspondingly change the brightness or the color according to the operation of adjusting the brightness and the color of the lamplight by the user, and meanwhile, the system can record the manual adjustment termination result of the user, including the manual adjustment operation of the lamplight by the user, so as to be used later.
And associating the manual adjustment termination result with the target area data to identify the specific preference and habit of the user for light control, associating the specific preference and habit with the corresponding target area data, recording the binding result as the characteristics of the user, and updating the binding result to a user characteristic library so that the system considers the characteristics and preference of the user in a subsequent intelligent control scheme, and the user characteristic library can be continuously updated and optimized according to the operation and feedback data of the user to provide more personalized and accurate light control experience.
And matching the user characteristics recorded in the user characteristic library with each intelligent control scheme so as to select the most suitable intelligent control scheme according to the characteristics and the preferences of the user. The intelligent control scheme is evaluated and screened according to optimizing constraints, which may be defined based on user characteristics, target area data, environmental conditions, etc., for example, constraints may include range limitations of light brightness, warm or cool tone preferences of colors, etc. And determining an optimal intelligent control scheme according to the constraint evaluation result, wherein the scheme can meet the requirements of users and constraint conditions.
Further, the method further comprises the following steps:
if the real-time feedback data is a fixed result, binding the selected scheme with the target area data; and recording the binding result as the user characteristics and updating the binding result to the user characteristics library.
When the real-time feedback data is determined to be a fixed result, the fixed result means that the user does not actively adjust any more, the light state is kept unchanged, the selected scheme is bound with the target area data, the light parameters defined in the selected scheme are associated with the target area data, the light is ensured to be kept in the fixed state on the basis of meeting the requirement of the target area, after the binding is completed, the binding result is recorded, including the association information of the selected scheme and the target area data, so that the preference of the user can be tracked and memorized, and the binding result is recorded as one of the user characteristics.
And recording the acquired binding result as the user characteristic, correlating with other existing user characteristics, and updating a user characteristic library after recording is completed to ensure that the latest binding result is incorporated in the user characteristic library, so that the characteristic library can continuously track and store personalized characteristics and preference information of the user.
In summary, the intelligent adjustment method and system for the medical shadowless lamp provided by the embodiment of the application have the following technical effects:
1. by setting a space travel interval, generating position limit coordinates according to the fixed position, the basic attribute data and the fixed environment data of the shadowless lamp, the position limit of the medical shadowless lamp is expanded, and the medical shadowless lamp has greater flexibility under specific tasks or complex environments;
2. the depth sensor embedded in the shadowless lamp is utilized to collect image data and generate target area data and a space travel updating result, so that the shadowless lamp can plan a motion path based on barrier information in an environment data set, and collision or interference with other equipment is avoided;
3. by receiving the user interaction data and the feedback data and combining the intelligent decision unit to generate an intelligent control scheme set, the real-time interaction and personalized control of the user and the shadowless lamp are realized, and the user can delineate the area to be irradiated through the interaction data and provide focus or other relevant information, so that accurate motion planning and control are realized.
In summary, the intelligent adjusting method brings technical effects of flexibility, environment perception, personalized control and the like to the motion control of the medical shadowless lamp, and provides a more efficient, safe and user-friendly solution to the illumination application in the medical environment.
Example two
Based on the same inventive concept as the intelligent adjustment method of a medical shadowless lamp in the foregoing embodiment, as shown in fig. 2, the present application provides an intelligent adjustment system of a medical shadowless lamp, the system comprising:
the travel interval setting module 10 is used for setting a space travel interval, and the space travel interval is a position limit coordinate generated according to the fixed position of the shadowless lamp, the basic attribute data of the shadowless lamp and the fixed environment data;
the control initialization module 20 is configured to perform control initialization of the intelligent decision unit through the space travel interval, and construct an initial environment set after the initialization is completed, where the initial environment set is an environment data set constructed through an image acquired by a depth sensor embedded in the shadowless lamp;
the space travel updating module 30 is configured to perform space travel updating on the space travel interval according to the environmental data set, where the space travel updating result includes a position prohibition result and a path prohibition result;
the area data generating module 40 is configured to generate target area data, where the target area data includes an area position and an area feature, and the target area data is obtained based on real-time depth image recognition after receiving user interaction data;
the control scheme set construction module 50 is used for constructing an intelligent control scheme set, and the intelligent control scheme set is generated by fitting and calibrating an avoidance template, the target area data and the space travel updating result through an intelligent decision unit;
and the feedback data receiving module 60 is used for receiving user feedback data, and executing a selected scheme in the intelligent control scheme set on the shadowless lamp through the user feedback data.
Further, the system also comprises a avoidance template construction module for executing the following operation steps:
setting a first template constraint, wherein the first template constraint is a position template constraint, and the position template constraint is constructed through the region position and the user interaction data;
setting a second template constraint, wherein the second template constraint is a quantity constraint, and the quantity constraint is constructed by calling the quantity of users of the user interaction data;
setting a third template constraint, wherein the third template constraint is a habit constraint, and the habit constraint is constructed by calling a user database of an operation user;
and calling a template database through the first template constraint, the second template constraint and the third template constraint, and constructing the calibration avoidance template according to a calling result.
Further, the system also includes a compensation control module to perform the following operation steps:
after the shadowless lamp control is stopped, executing a verification instruction of the control;
constructing a verification result set, wherein the verification result set is obtained by carrying out shadow feature recognition according to a verification image, and the verification image is obtained by controlling a depth sensor to acquire through the verification instruction;
generating feedback control data, wherein the feedback control data comprises light intensity control data, array optimization data and position adjustment data, and the feedback control data is generated by analyzing the verification result set;
and carrying out compensation control on the shadowless lamp through the feedback control data.
Further, the compensation control module further comprises a feedback control data generation module to execute the following operation steps:
constructing a shadow response trigger database, wherein the trigger database is constructed by collecting mapping of shadow characteristics and processing parameters;
performing the trigger database preliminary screening with the selected scheme as base match data;
performing preliminary screening by using the extracted features of the verification result set, and performing similarity matching on the trigger database;
and generating the feedback control data according to the mapping processing parameters of the similar matching result.
Further, the compensation control module further comprises the following operation steps:
judging whether the feedback control data triggers the position prohibition result or the path prohibition result;
when the feedback control data triggers any one of the position prohibition result or the path prohibition result, a compensation reconstruction instruction is generated;
and re-executing feedback control data generation through the compensation reconstruction instruction.
Further, the system also comprises an optimizing constraint module for executing the following operation steps:
sending fixed verification to a user, and receiving real-time feedback data of the user;
if the real-time feedback data is a non-fixed result, the shadowless lamp is placed in a dynamic state, and a manual adjustment termination result of a user is recorded;
binding the manual adjustment termination result with the target area data, recording the binding result as user characteristics, and updating the binding result to a user characteristic library;
and executing the optimizing constraint of the follow-up intelligent control scheme set through the user feature library.
Further, the optimizing constraint module further comprises the following operation steps:
if the real-time feedback data is a fixed result, binding the selected scheme with the target area data;
and recording the binding result as the user characteristics and updating the binding result to the user characteristics library.
The foregoing detailed description of the method for intelligently adjusting a medical shadowless lamp in this embodiment will be clear to those skilled in the art, and the device disclosed in this embodiment is relatively simple to describe, and the relevant points refer to the method section.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An intelligent adjustment method of a medical shadowless lamp is characterized by comprising the following steps:
setting a space travel interval, wherein the space travel interval is a position limit coordinate generated according to the fixed position of the shadowless lamp, the basic attribute data of the shadowless lamp and the fixed environment data;
the control initialization of the intelligent decision unit is carried out through the space travel interval, and an initial environment set is constructed after the initialization is completed, wherein the initial environment set is an environment data set constructed through images acquired by a depth sensor embedded in the shadowless lamp;
carrying out space travel updating on the space travel interval according to the environment data set, wherein the space travel updating result comprises a position prohibiting result and a path prohibiting result;
generating target area data, wherein the target area data comprises area positions and area characteristics, and the target area data is obtained based on real-time depth image recognition after receiving user interaction data;
an intelligent control scheme set is constructed, and the intelligent control scheme set is generated by fitting a calibration avoidance template, the target area data and the space travel updating result through an intelligent decision unit;
and receiving user feedback data, and executing a selected scheme in the intelligent control scheme set on the shadowless lamp through the user feedback data.
2. The method of claim 1, wherein the method further comprises:
setting a first template constraint, wherein the first template constraint is a position template constraint, and the position template constraint is constructed through the region position and the user interaction data;
setting a second template constraint, wherein the second template constraint is a quantity constraint, and the quantity constraint is constructed by calling the quantity of users of the user interaction data;
setting a third template constraint, wherein the third template constraint is a habit constraint, and the habit constraint is constructed by calling a user database of an operation user;
and calling a template database through the first template constraint, the second template constraint and the third template constraint, and constructing the calibration avoidance template according to a calling result.
3. The method of claim 1, wherein the method further comprises:
after the shadowless lamp control is stopped, executing a verification instruction of the control;
constructing a verification result set, wherein the verification result set is obtained by carrying out shadow feature recognition according to a verification image, and the verification image is obtained by controlling a depth sensor to acquire through the verification instruction;
generating feedback control data, wherein the feedback control data comprises light intensity control data, array optimization data and position adjustment data, and the feedback control data is generated by analyzing the verification result set;
and carrying out compensation control on the shadowless lamp through the feedback control data.
4. A method as claimed in claim 3, wherein the method further comprises:
constructing a shadow response trigger database, wherein the trigger database is constructed by collecting mapping of shadow characteristics and processing parameters;
performing the trigger database preliminary screening with the selected scheme as base match data;
performing preliminary screening by using the extracted features of the verification result set, and performing similarity matching on the trigger database;
and generating the feedback control data according to the mapping processing parameters of the similar matching result.
5. The method of claim 4, wherein the method further comprises:
judging whether the feedback control data triggers the position prohibition result or the path prohibition result;
when the feedback control data triggers any one of the position prohibition result or the path prohibition result, a compensation reconstruction instruction is generated;
and re-executing feedback control data generation through the compensation reconstruction instruction.
6. The method of claim 1, wherein the method further comprises:
sending fixed verification to a user, and receiving real-time feedback data of the user;
if the real-time feedback data is a non-fixed result, the shadowless lamp is placed in a dynamic state, and a manual adjustment termination result of a user is recorded;
binding the manual adjustment termination result with the target area data, recording the binding result as user characteristics, and updating the binding result to a user characteristic library;
and executing the optimizing constraint of the follow-up intelligent control scheme set through the user feature library.
7. The method of claim 6, wherein the method further comprises:
if the real-time feedback data is a fixed result, binding the selected scheme with the target area data;
and recording the binding result as the user characteristics and updating the binding result to the user characteristics library.
8. An intelligent regulation system for a medical shadowless lamp, characterized in that it is used for implementing an intelligent regulation method for a medical shadowless lamp as claimed in any one of claims 1-7, comprising:
the system comprises a travel interval setting module, a travel interval setting module and a control module, wherein the travel interval setting module is used for setting a space travel interval, and the space travel interval is a position limit coordinate generated according to a fixed position of the shadowless lamp, basic attribute data of the shadowless lamp and fixed environment data;
the control initialization module is used for performing control initialization of the intelligent decision unit through the space travel interval and constructing an initial environment set after the initialization is completed, wherein the initial environment set is an environment data set constructed through images acquired by a depth sensor embedded in the shadowless lamp;
the space travel updating module is used for carrying out space travel updating on the space travel interval according to the environment data set, and the space travel updating result comprises a position prohibition result and a path prohibition result;
the regional data generation module is used for generating target regional data, wherein the target regional data comprise regional positions and regional characteristics, and the target regional data are obtained based on real-time depth image recognition after receiving user interaction data;
the control scheme set construction module is used for constructing an intelligent control scheme set, and the intelligent control scheme set is generated by fitting and calibrating an avoidance template, the target area data and the space travel updating result through an intelligent decision unit;
and the feedback data receiving module is used for receiving user feedback data and executing a selected scheme in the intelligent control scheme set on the shadowless lamp through the user feedback data.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104320881A (en) * | 2014-10-28 | 2015-01-28 | 江苏天语雅思医疗设备有限公司 | Intelligent dimming controller in LED shadowless lamp lighting system |
| CN105120550A (en) * | 2015-05-22 | 2015-12-02 | 江苏天语雅思医疗设备有限公司 | Intelligent light adjustment system for LED shadowless lamp based on ultrasonic positioning |
| CN217133672U (en) * | 2022-04-22 | 2022-08-05 | 长春同显信息技术有限公司 | Non-contact gesture recognition shadowless lamp control panel of adjusting luminance |
-
2023
- 2023-10-18 CN CN202311344434.9A patent/CN117082691B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104320881A (en) * | 2014-10-28 | 2015-01-28 | 江苏天语雅思医疗设备有限公司 | Intelligent dimming controller in LED shadowless lamp lighting system |
| CN105120550A (en) * | 2015-05-22 | 2015-12-02 | 江苏天语雅思医疗设备有限公司 | Intelligent light adjustment system for LED shadowless lamp based on ultrasonic positioning |
| CN217133672U (en) * | 2022-04-22 | 2022-08-05 | 长春同显信息技术有限公司 | Non-contact gesture recognition shadowless lamp control panel of adjusting luminance |
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