CN118283884A - Self-adaptive adjusting system of operation shadowless lamp - Google Patents
Self-adaptive adjusting system of operation shadowless lamp Download PDFInfo
- Publication number
- CN118283884A CN118283884A CN202410694622.2A CN202410694622A CN118283884A CN 118283884 A CN118283884 A CN 118283884A CN 202410694622 A CN202410694622 A CN 202410694622A CN 118283884 A CN118283884 A CN 118283884A
- Authority
- CN
- China
- Prior art keywords
- adjustment
- parameters
- constraint
- parameter
- surgical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000005457 optimization Methods 0.000 claims abstract description 18
- 238000000034 method Methods 0.000 claims description 15
- 238000005286 illumination Methods 0.000 claims description 12
- 230000003044 adaptive effect Effects 0.000 claims description 6
- 230000000875 corresponding effect Effects 0.000 claims description 5
- 238000011156 evaluation Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000001276 controlling effect Effects 0.000 claims description 3
- 230000002596 correlated effect Effects 0.000 claims description 3
- 238000003066 decision tree Methods 0.000 claims description 3
- 230000000452 restraining effect Effects 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 description 4
- 238000010276 construction Methods 0.000 description 2
- 238000000605 extraction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 210000001015 abdomen Anatomy 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000004422 calculation algorithm Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Landscapes
- Circuit Arrangement For Electric Light Sources In General (AREA)
Abstract
The invention provides a self-adaptive adjusting system of a surgical shadowless lamp, which relates to the technical field of intelligent control, and comprises the following components: collecting operation characteristic information of an operation to be performed, setting a first constraint of operation field brightness and setting a second constraint of operator temperature and operation field temperature; adopting a first constraint and a second constraint to constrain the adjustment parameter interval to obtain a constraint adjustment parameter interval; extracting in the constraint regulation parameter interval, and processing the historical regulation parameter set to obtain a target regulation parameter group; the shadowless lamp optimization function is constructed, the adjustment parameters are optimized in the optimization adjustment parameter space, the optimal adjustment parameters are obtained, the operation shadowless lamp is controlled and adjusted, and the technical problems that the operation shadowless lamp continuously works for a long time, the operation field brightness is easily caused, meanwhile, overheat is generated, discomfort is caused to an operator, and the operation is influenced in the prior art are solved.
Description
Technical Field
The invention relates to the technical field of intelligent control, in particular to a self-adaptive adjusting system of a surgical shadowless lamp.
Background
The operation shadowless lamp is a medical auxiliary lighting device specially designed for an operating room, is placed beside an operating bed or hung in the air, is an essential device for lighting an operation part, and is required to be capable of observing objects with different depths, sizes and low contrast in an incision and a body cavity in an optimal view. When the shadowless lamp is used, the brightness of the operation field needs to be ensured, an operator is under the shadowless lamp when the shadowless lamp irradiates, the head temperature of the operator is increased to cause the influence after long-time irradiation, and the temperature of an operation part is also increased to cause the influence on the operation and other problems.
In summary, in the prior art, as the operation shadowless lamp continuously works for a long time, the technical problems that the operation field brightness cannot be ensured and the operator is uncomfortable due to overheat are easily caused, and the operation quality is affected are easily caused.
Disclosure of Invention
The application provides a self-adaptive adjusting system of an operation shadowless lamp, which is used for solving the technical problems that the operation shadowless lamp works continuously for a long time in the prior art, so that the operation field brightness is easily not ensured, and meanwhile, overheat is generated, so that an operator is uncomfortable, and the operation is influenced.
In view of the foregoing, the present application provides an adaptive adjustment system for a surgical shadowless lamp, the system comprising: the surgical characteristic information acquisition module is used for acquiring surgical characteristic information of a to-be-developed operation, wherein the surgical characteristic information comprises surgical part characteristic information, surgical difficulty characteristic information, surgical time characteristic information and operator characteristic information; the constraint setting module is used for setting a first constraint of the brightness of the surgical field and a second constraint of the temperature of the operator and the temperature of the surgical field according to the characteristic information of the surgical site and the characteristic information of the surgical difficulty; the constraint adjustment parameter obtaining module is used for obtaining an adjustment parameter interval of the operation shadowless lamp, adopting the first constraint and the second constraint, and constraining the adjustment parameter interval according to the operation time characteristic information and the operator characteristic information to obtain a constraint adjustment parameter interval, wherein the constraint adjustment parameter interval comprises a brightness parameter interval, an angle parameter interval, a first coordinate parameter interval, a second coordinate parameter interval and a third coordinate parameter interval; the target regulation parameter group obtaining module is used for indexing and obtaining a historical regulation parameter set of the operation shadowless lamp according to the operation characteristic information, extracting in the constraint regulation parameter interval to obtain an optimized regulation parameter space, and optimizing the historical regulation parameter set to obtain a target regulation parameter group; the optimal adjustment parameter obtaining module is used for constructing an shadowless lamp optimization function for optimizing adjustment parameters of the surgical shadowless lamp, optimizing the adjustment parameters in the optimal adjustment parameter space according to the surgical site characteristic information, the surgical difficulty characteristic information, the surgical time characteristic information and the surgical characteristic information to obtain optimal adjustment parameters, and controlling and adjusting the surgical shadowless lamp, wherein the target adjustment parameter group is used as a first optimizing searching direction to optimize.
One or more technical schemes provided by the application have at least the following technical effects or advantages:
Collecting operation characteristic information of an operation to be performed, wherein the operation characteristic information comprises operation position characteristic information, operation difficulty characteristic information, operation time characteristic information and operator characteristic information; setting a first constraint of the brightness of the operation field and setting a second constraint of the temperature of the operator and the temperature of the operation field according to the characteristic information of the operation part and the characteristic information of the operation difficulty; obtaining an adjustment parameter interval of the operation shadowless lamp, and adopting the first constraint and the second constraint to constrain the adjustment parameter interval according to the operation time characteristic information and the operator characteristic information to obtain a constraint adjustment parameter interval, wherein the constraint adjustment parameter interval comprises a brightness parameter interval, an angle parameter interval, a first coordinate parameter interval, a second coordinate parameter interval and a third coordinate parameter interval; according to the operation characteristic information, indexing to obtain a historical adjustment parameter set of the operation shadowless lamp, performing extraction processing in the constraint adjustment parameter interval to obtain an optimized adjustment parameter space, and performing optimization processing on the historical adjustment parameter set to obtain a target adjustment parameter group; constructing a shadowless lamp optimization function for optimizing the adjustment parameters of the surgical shadowless lamp, optimizing the adjustment parameters in the optimized adjustment parameter space according to the feature information of the surgical part, the feature information of the surgical difficulty, the feature information of the surgical time and the feature information of the operator, and obtaining the optimal adjustment parameters, and controlling and adjusting the surgical shadowless lamp, wherein the target adjustment parameter group is used as a searching direction for first optimizing to perform optimization. The technical effects of improving the brightness and uniformity of the operation shadowless lamp in the operation process, reducing the temperature of the operation field and the temperature of the operator and improving the operation quality are achieved.
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. It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
FIG. 1 is a schematic flow diagram of an adaptive adjustment system for a surgical shadowless lamp provided by the application;
FIG. 2 is a flowchart illustrating steps of a method performed by an adaptive adjustment system for a surgical shadowless lamp according to the present application;
Reference numerals illustrate: the device comprises a surgical characteristic information acquisition module 11, a constraint setting module 12, a constraint adjustment parameter acquisition module 13, a target adjustment parameter group acquisition module 14 and an optimal adjustment parameter acquisition module 15.
Detailed Description
The application provides a self-adaptive adjusting system of an operation shadowless lamp, which is used for solving the technical problems that the operation shadowless lamp continuously works for a long time in the prior art, the brightness of an operation field is easily not ensured, and meanwhile, overheat is generated, so that an operator is uncomfortable, and the operation quality is influenced. The technical effects of improving the brightness and uniformity of the operation shadowless lamp in the operation process, reducing the temperature of the operation field and the temperature of the operator and improving the operation quality are achieved.
In the following, the technical solutions of the present invention will be clearly and completely described with reference to the accompanying drawings, and it should be understood that the described embodiments are only some embodiments of the present invention, but not all embodiments of the present invention, and that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It should be further noted that, for convenience of description, only some, but not all of the drawings related to the present invention are shown.
Example 1
As shown in fig. 1, the present application provides an adaptive adjustment system of a surgical shadowless lamp for performing an adaptive adjustment method of a surgical shadowless lamp as shown in fig. 2, the system comprising:
The surgical characteristic information acquisition module 11 is used for acquiring surgical characteristic information of a to-be-developed operation, wherein the surgical characteristic information comprises surgical part characteristic information, surgical difficulty characteristic information, surgical time characteristic information and operator characteristic information;
Specifically, the operation characteristic information acquisition of the operation is a key step before the operation is to be performed, so that the operation doctor, nurses and other medical team members can be helped to comprehensively know the complexity and potential risk of the operation, the operation characteristic information comprises operation part characteristic information, operation difficulty characteristic information, operation time characteristic information and operator characteristic information, wherein the part characteristic information can be used for knowing treatment parts related to the operation, such as brain, abdomen or specific organs, size, depth and shape of the parts, the operation difficulty characteristic information is used for evaluating the difficulty level of the operation, the operation type can be clarified, the operation time characteristic information can be used for estimating the time length required by the operation, and the operator characteristic information can be used for obtaining patient basic information such as the height, the sign, the age and the physical condition of an operation patient.
A constraint setting module 12, configured to set a first constraint of the brightness of the surgical field and a second constraint of the temperature of the operator and the temperature of the surgical field according to the feature information of the surgical site and the feature information of the surgical difficulty;
further, the constraint setting module further includes:
the information set acquisition module is used for acquiring a sample operation part characteristic information set and a sample operation difficulty characteristic information set according to the operation shadowless lamp regulation history data and acquiring a sample operation field brightness threshold value set;
The operation field brightness threshold value obtaining module is used for adopting the sample operation part characteristic information set, the sample operation difficulty characteristic information set and the sample operation field brightness threshold value set, constructing an operation field brightness threshold value classifier based on a decision tree, and carrying out input decision on the operation part characteristic information and the operation difficulty characteristic information to obtain an operation field brightness threshold value;
The first constraint obtaining module is used for taking the operation field brightness larger than the operation field brightness threshold value as a first constraint of the operation field brightness;
the second constraint obtaining module is used for obtaining an operator irradiation temperature threshold and an operator field temperature threshold, and taking the highest irradiation temperature of the operation shadowless lamp on the operator and the operator field as the second constraint, wherein the highest irradiation temperature of the operation shadowless lamp on the operator and the operator field is not greater than the operator irradiation temperature threshold and the operator field temperature threshold.
Specifically, the history data for adjusting the operation shadowless lamp is history data for adjusting the operation shadowless lamp in an operating room, and the like, a sample operation part characteristic information set, a sample operation difficulty characteristic information set and a sample operation field brightness threshold value set are obtained according to the history data for adjusting the shadowless lamp, wherein the operation field is the range of vision in operation, then the operation field brightness is the illumination intensity in the range of the operation, and the operation shadowless lamp can be comprehensively and accurately analyzed through the acquisition of the characteristic set.
Then, based on the construction principle of a decision tree, the operation field brightness threshold classifier is used as a root node, the operation site characteristic information set and the operation difficulty characteristic information set are used as child nodes, the operation field brightness threshold set is used as leaf nodes of the child nodes, the sample operation site characteristic information set, the sample operation difficulty characteristic information set and the sample operation field brightness threshold set are used as construction data, the corresponding child nodes and leaf nodes are input, the operation field brightness threshold classifier is constructed, input decisions are carried out on the operation site characteristic information and the operation difficulty characteristic information, and the efficiency and the accuracy of the operation field brightness threshold can be improved. The method comprises the steps of comparing the operation field brightness with an operation field brightness threshold, when the operation field brightness is larger than the operation field brightness threshold, as a first constraint of the operation field brightness, reminding related personnel of adjusting the light brightness, avoiding the influence on the operation caused by the excessive brightness, and because the irradiation temperature of an operating room shadowless lamp to an operator and the operation field is also an important influence factor on the operation quality, acquiring an operator irradiation temperature threshold and an operation field temperature threshold based on the history data regulated by the operating shadowless lamp, comparing the irradiation highest temperature of the operating shadowless lamp to the operator and the operation field with the operator irradiation temperature threshold and the operation field temperature threshold, and using the irradiation highest temperature of the operating shadowless lamp to the operator and the operation field not larger than the operator irradiation temperature threshold and the operation field temperature threshold as a second constraint so as to avoid the excessively high temperature influence on the operator and the operation field.
A constraint adjustment parameter obtaining module 13, configured to obtain an adjustment parameter interval of the surgical shadowless lamp, and constraint the adjustment parameter interval according to the surgical time feature information and the surgical characteristic information by adopting the first constraint and the second constraint to obtain a constraint adjustment parameter interval, where the constraint adjustment parameter interval includes a brightness parameter interval, an angle parameter interval, a first coordinate parameter interval, a second coordinate parameter interval, and a third coordinate parameter interval;
Further, the constraint adjustment parameter obtaining module 13 further includes:
The adjusting parameter interval obtaining module is used for obtaining an adjusting parameter interval of the operation shadowless lamp, wherein the adjusting parameter comprises brightness, an angle, a first coordinate, a second coordinate and a third coordinate;
The constraint adjustment parameter set obtaining module is used for carrying out simulated illumination in the adjustment parameter interval by adopting an operation shadowless lamp, predicting operation field brightness by combining the operation part characteristic information, predicting operation illumination temperature and operation field temperature by combining the operation time characteristic information and the operation person characteristic information, and restraining the predicted operation field brightness not to be in accordance with the first constraint or the predicted operation field temperature not to be in accordance with the adjustment parameters of the second constraint to obtain a constraint adjustment parameter set;
And the constraint adjustment parameter interval obtaining module is used for extracting the constraint adjustment parameter set from the adjustment parameter interval to obtain the constraint adjustment parameter interval.
Specifically, an adjustment parameter interval of the surgical shadowless lamp is obtained, wherein the adjustment parameter interval of the surgical shadowless lamp refers to various parameter ranges of the shadowless lamp which can be adjusted in the surgical process, the adjustment parameters comprise brightness, angle, first coordinates, second coordinates and third coordinates of the shadowless lamp, and the first coordinates, the second coordinates and the third coordinates are used for describing the position of a lamp cap of the surgical shadowless lamp.
And then, the operation shadowless lamp is adopted to carry out simulated illumination in the adjustment parameter interval, namely, the adjustable parameters of the operation shadowless lamp are utilized to carry out simulation and test of illumination effect in a preset parameter range, the operation site characteristic information is combined, the operation site brightness can be predicted, the operation time characteristic information and the operation site characteristic information are combined, the irradiation temperature and the operation site temperature of an operator are predicted, and in the simulated illumination process, if the predicted operation site brightness is found to be inconsistent with the first constraint, namely, the operation site brightness threshold value is not met, or the predicted operation site temperature and the operation site temperature are inconsistent with the second constraint, namely, when the operation site brightness is inconsistent with the operation site irradiation temperature threshold value and the operation site temperature threshold value, the adjustment parameters which are inconsistent with the first constraint or not consistent with the second constraint are restrained, and a constraint adjustment parameter set is obtained.
After the constraint adjustment parameter set is obtained, the constraint adjustment parameter set is extracted from the adjustment parameter interval, namely parameters which do not accord with the brightness threshold value or the irradiation temperature threshold value of the operation field are extracted, so that a constraint adjustment parameter interval is formed, wherein the constraint adjustment parameter interval not only meets the brightness requirement of the operation field, but also accords with the limitation of the operator and the irradiation temperature of the operation field, and comprises a brightness parameter interval, an angle parameter interval, a first coordinate parameter interval, a second coordinate parameter interval and a third coordinate parameter interval. Through the process, the parameters which do not accord with the brightness threshold value and the irradiation temperature threshold value of the operation field are extracted, and a more scientific and reliable basis is provided for the use of the shadowless lamp for the subsequent operation.
A target adjustment parameter group obtaining module 14, configured to index and obtain a historical adjustment parameter set of the surgical shadowless lamp according to the surgical feature information, perform extraction processing in the constraint adjustment parameter interval to obtain an optimized adjustment parameter space, and perform optimization processing on the historical adjustment parameter set to obtain a target adjustment parameter group;
Further, the target adjustment parameter group obtaining module 14 further includes:
the history adjustment parameter set calling module is used for searching in the history operation record data according to the operation characteristic information and calling the history adjustment parameter set of the operation shadowless lamp in the similar operation;
The optimized adjustment parameter space obtaining module is used for extracting the historical adjustment parameter set in the constraint adjustment parameter interval to obtain an optimized adjustment parameter space;
The history adjusting parameter acquisition module is used for acquiring a plurality of history operation field brightness, a plurality of history operator temperatures and a plurality of history operation field temperatures when the plurality of history adjusting parameters in the history adjusting parameter set are adjusted by the shadowless lamp;
The target regulation parameter group obtaining module is used for carrying out sequencing evaluation on the plurality of historical regulation parameters according to the plurality of historical operation field brightness, the plurality of historical operation person temperatures and the plurality of historical operation field temperatures, outputting M historical regulation parameters with the highest comprehensive sequencing as M target regulation parameters, and obtaining the target regulation parameter group, wherein M is an integer larger than 1.
Specifically, the historical operation record data is used for searching in the historical operation record data according to the operation characteristic information, and a historical adjustment parameter set of the operation shadowless lamp in the same kind of operation as the operation characteristic information is called, wherein the historical adjustment parameter set comprises related data of the adjustment parameters of the operation shadowless lamp in the same kind of operation in the past. And then the history adjusting parameter set is extracted in the constraint adjusting parameter interval, the history adjusting parameter set is deleted in the constraint adjusting parameter interval, so that the adjusting parameters which are not used in the history time are obtained through searching, and the adjusting parameters which are not used in the history time are used as an optimized adjusting parameter space, so that more accurate and reliable guidance is provided for the use of the operation shadowless lamp.
Furthermore, a plurality of historical operation field brightness, a plurality of historical operation person temperatures and a plurality of historical operation field temperatures are obtained when a plurality of historical adjustment parameters in a historical adjustment parameter set are adjusted by the shadowless lamp, the historical adjustment parameters are subjected to sorting evaluation according to the plurality of historical operation field brightness, the plurality of historical operation person temperatures and the plurality of historical operation field temperature information, for example, according to operation requirements of the operation shadowless lamp operation field brightness, the operation person and the operation field irradiation temperature, an evaluation index is established, a score is calculated on each historical adjustment parameter combination of the plurality of historical operation field brightness, the plurality of historical operation person temperatures and the plurality of historical operation field temperatures, the score can reflect comprehensive performance of the parameter combination in terms of meeting operation requirements and constraint conditions, then sorting is carried out from high to low according to the comprehensive score, M historical adjustment parameters with the highest sorting being the first selected from the historical adjustment parameters based on the sorting result, and M is an integer larger than 1 as a target adjustment parameter group, and reliable data support can be provided for subsequently improving the brightness and uniformity of the operation shadowless lamp, the operation field temperature and the operation person temperature are further improved.
The optimal adjustment parameter obtaining module 15 is configured to construct an optimization function of the shadowless lamp for optimizing the adjustment parameters of the surgical shadowless lamp, and optimize the adjustment parameters in the optimal adjustment parameter space according to the feature information of the surgical site, the feature information of the surgical difficulty, the feature information of the surgical time and the feature information of the operator, so as to obtain optimal adjustment parameters, and control and adjust the surgical shadowless lamp, where the target adjustment parameter group is used as a first optimizing search direction for optimization.
Further, the optimal adjustment parameter obtaining module 15 further includes:
the optimal adjustment parameter obtaining module is used for constructing an shadowless lamp optimization function for optimizing adjustment parameters of the surgical shadowless lamp, and the optimal adjustment parameter obtaining module is as follows:
；
Wherein FLI is the shadowless fitness, The sum of (2) is 1, which is respectively a brightness weight, an operator irradiation temperature weight and an operation field temperature weight,AndIn order to control the brightness of the operation field, the temperature of the operator and the temperature of the operation field when the operation shadowless lamp is controlled according to the adjusting parameters,AndA surgical field brightness threshold, a surgical exposure temperature threshold, and a surgical field temperature threshold within the first constraint and the second constraint.
Specifically, a shadowless lamp optimization function for optimizing the adjustment parameters of the surgical shadowless lamp is constructed, and the following formula is adopted:
；
Wherein, the FLI is the shadowless fitness, when the fitness FLI is higher, the better the surgical shadowless lamp scheme is, otherwise, the worse is. Further, the method comprises the steps of, The sum of (2) is 1, which is respectively a brightness weight, an operator irradiation temperature weight and an operation field temperature weight,AndIn order to control the brightness of the operation field, the temperature of the operator and the temperature of the operation field when the operation shadowless lamp is controlled according to the adjusting parameters,AndA surgical field brightness threshold, a surgical exposure temperature threshold, and a surgical field temperature threshold within the first constraint and the second constraint. And calculating the adaptability of the shadowless lamp through the shadowless lamp optimization function to obtain a shadowless lamp parameter adjustment scheme, so that the scheme integrity and reliability are improved.
Further, the optimal adjustment parameter obtaining module 15 further includes:
the index relation obtaining module is used for randomly generating M first adjusting parameters in the optimized adjusting parameter space, and randomly carrying out index association with M target adjusting parameters in the target adjusting parameter group to obtain an index relation;
The second adjustment parameter obtaining module is used for adjusting and updating the M first adjustment parameters by taking the M target adjustment parameters as adjustment directions and adopting adjustment step length to obtain M second adjustment parameters, wherein the M second adjustment parameters have index relation with the M target adjustment parameters;
the third adjustment parameter obtaining module is used for randomly selecting P types of parameters from the M second adjustment parameters and the M target adjustment parameters for exchange updating according to an index relation to obtain M third adjustment parameters, wherein T is an integer greater than or equal to 1 and less than or equal to 5;
The shadowless lamp optimizing function is used for calculating and obtaining M shadowless fitness to be generated;
The target shadowless fitness obtaining module is used for carrying out simulated illumination by adopting the M target adjusting parameters, and calculating M target shadowless fitness by combining the shadowless lamp optimizing function;
The target adjusting parameter group updating module is used for selecting the M generated shadowless fitness and adjusting parameters corresponding to larger shadowless fitness in the M target shadowless fitness according to the index relation, updating the target adjusting parameter group and taking the adjusting parameters as the adjusting direction of next optimizing;
and the optimal adjustment parameter obtaining module is used for continuing to optimize until reaching convergence times, and outputting the adjustment parameter with the maximum shadowless fitness as the optimal adjustment parameter.
Further, the third adjustment parameter obtaining module further includes:
The parameter deviation set obtaining module is used for calculating deviations of brightness parameters, angle parameters, first coordinate parameters, second coordinate parameters and third coordinate parameters in the M second adjusting parameters and the M target adjusting parameters according to an index relation to obtain M parameter deviation sets, wherein each parameter deviation set comprises 5 parameter deviation information;
The exchange probability set obtaining module is used for obtaining M exchange probability sets through distribution calculation according to the sizes of 5 parameter deviation information in the M parameter deviation sets, wherein each exchange probability set comprises 5 exchange probabilities, and the sizes of the parameter deviation information and the exchange probabilities are positively correlated;
And the adjusting parameter updating module is used for randomly selecting P types of parameters according to the M exchange probability sets and carrying out exchange updating on the adjusting parameters in the M second adjusting parameters and the M target adjusting parameters.
Specifically, M first adjustment parameters are randomly generated in the optimized adjustment parameter space by using a random generation algorithm, the M first adjustment parameters are all located in the optimized adjustment parameter space, it can be ensured that the adjustment parameters all meet constraint conditions of the shadowless lamp and belong to adjustment parameters which are not used in historical time, then indexes of target adjustment parameters in M target adjustment parameters in the target adjustment parameter group are randomly distributed for each adjustment parameter in the M first adjustment parameters by using a random generator, and each first adjustment parameter is associated with the target adjustment parameter corresponding to the index in the target adjustment parameter group, so that an index relation is obtained. And taking M target adjustment parameters as adjustment directions, adopting adjustment step length to adjust and update the M first adjustment parameters, wherein the adjustment step length determines the adjustment size of each parameter, can be set according to actual requirements or historical data, and each first adjustment parameter obtains a new value, namely M second adjustment parameters, after the adjustment and update, wherein the M second adjustment parameters have an index relation with the M target adjustment parameters.
According to the index relation, calculating deviation information of brightness parameters, angle parameters, first coordinate parameters, second coordinate parameters and third coordinate parameters in M second adjustment parameters and M target adjustment parameters, obtaining M parameter deviation sets, and according to the size of 5 parameter deviation information in the parameter deviation sets, obtaining M exchange probability sets by distribution calculation, wherein each exchange probability set comprises 5 exchange probabilities, namely brightness parameters, angle parameters, first coordinate parameters, second coordinate parameters and third coordinate parameters, namely P is an integer greater than or equal to 1 and less than or equal to 5. The magnitude of the parameter deviation information reflects the degree of difference between the current value and the target value of the parameter, so that the magnitude of the parameter deviation information and the magnitude of the exchange probability are positively correlated, the larger the parameter deviation is, the larger the exchanged probability is, so that the optimization process can be accelerated, the parameter can be converged to an ideal value more quickly, the specific method for calculating the exchange probability can be determined according to actual requirements, if linear mapping is adopted, the parameter deviation information is directly mapped to the probability value, and then P types of parameters are randomly selected in the M second adjustment parameters and the M target adjustment parameters to be exchanged and updated, so that a third adjustment parameter is obtained, the global performance of optimizing can be improved, and reliable data support is provided for obtaining the optimal adjustment parameters subsequently.
According to M third adjustment parameters obtained through exchange, carrying out simulated illumination by combining operation characteristic information, obtaining predicted operation field brightness, predicted operator irradiation temperature and predicted operation field temperature, calculating and obtaining M generated shadowless fitness by combining the shadowless lamp optimization function, carrying out simulated illumination by adopting the M target adjustment parameters, calculating and obtaining M target shadowless fitness by combining the shadowless lamp optimization function, in order to further optimize the adjustment parameters and find an optimal solution, selecting better adjustment parameters according to the fitness to update target adjustment parameter groups in each iteration process, and taking the adjustment parameters corresponding to the M generated shadowless fitness and the M target shadowless fitness as the starting point of the next iteration, namely, according to an index relation, updating the target adjustment parameter groups, taking the adjustment parameters as the next optimal adjustment direction, continuing to carry out the process to optimize until reaching the preset convergence number, outputting the adjustment parameter with the maximum shadowless fitness as the optimal adjustment parameter, enabling the update process to be more targeted and more efficient, helping to improve the optimal adjustment parameters, and simultaneously, improving the operation brightness adjustment parameters by the optimal adjustment parameters, and improving the operation brightness of the operation field.
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.
Based on the above-mentioned embodiments of the present invention, any improvements and modifications to the present invention without departing from the principles of the present invention should fall within the scope of the present invention.
Claims (7)
1. An adaptive adjustment system for a surgical shadowless lamp, said system comprising:
The surgical characteristic information acquisition module is used for acquiring surgical characteristic information of a to-be-developed operation, wherein the surgical characteristic information comprises surgical part characteristic information, surgical difficulty characteristic information, surgical time characteristic information and operator characteristic information;
The constraint setting module is used for setting a first constraint of the brightness of the surgical field and a second constraint of the temperature of the operator and the temperature of the surgical field according to the characteristic information of the surgical site and the characteristic information of the surgical difficulty;
The constraint adjustment parameter obtaining module is used for obtaining an adjustment parameter interval of the operation shadowless lamp, adopting the first constraint and the second constraint, and constraining the adjustment parameter interval according to the operation time characteristic information and the operator characteristic information to obtain a constraint adjustment parameter interval, wherein the constraint adjustment parameter interval comprises a brightness parameter interval, an angle parameter interval, a first coordinate parameter interval, a second coordinate parameter interval and a third coordinate parameter interval;
The target regulation parameter group obtaining module is used for indexing and obtaining a historical regulation parameter set of the operation shadowless lamp according to the operation characteristic information, extracting in the constraint regulation parameter interval to obtain an optimized regulation parameter space, and optimizing the historical regulation parameter set to obtain a target regulation parameter group;
the optimal adjustment parameter obtaining module is used for constructing an shadowless lamp optimization function for optimizing adjustment parameters of the surgical shadowless lamp, optimizing the adjustment parameters in the optimal adjustment parameter space according to the surgical site characteristic information, the surgical difficulty characteristic information, the surgical time characteristic information and the surgical characteristic information to obtain optimal adjustment parameters, and controlling and adjusting the surgical shadowless lamp, wherein the target adjustment parameter group is used as a first optimizing searching direction to optimize.
2. The system of claim 1, wherein setting a first constraint on the intensity of the surgical field and setting a second constraint on the temperature of the operator and the temperature of the surgical field based on the surgical site characteristic information, the surgical difficulty characteristic information, comprises:
the information set acquisition module is used for acquiring a sample operation part characteristic information set and a sample operation difficulty characteristic information set according to the operation shadowless lamp regulation history data and acquiring a sample operation field brightness threshold value set;
The operation field brightness threshold value obtaining module is used for adopting the sample operation part characteristic information set, the sample operation difficulty characteristic information set and the sample operation field brightness threshold value set, constructing an operation field brightness threshold value classifier based on a decision tree, and carrying out input decision on the operation part characteristic information and the operation difficulty characteristic information to obtain an operation field brightness threshold value;
The first constraint obtaining module is used for taking the operation field brightness larger than the operation field brightness threshold value as a first constraint of the operation field brightness;
the second constraint obtaining module is used for obtaining an operator irradiation temperature threshold and an operator field temperature threshold, and taking the highest irradiation temperature of the operation shadowless lamp on the operator and the operator field as the second constraint, wherein the highest irradiation temperature of the operation shadowless lamp on the operator and the operator field is not greater than the operator irradiation temperature threshold and the operator field temperature threshold.
3. The system of claim 1, wherein obtaining an adjustment parameter interval of the surgical shadowless lamp, using the first constraint and the second constraint, constraining the adjustment parameter interval according to the surgical time feature information and the operator feature information, comprises:
The adjusting parameter interval obtaining module is used for obtaining an adjusting parameter interval of the operation shadowless lamp, wherein the adjusting parameter comprises brightness, an angle, a first coordinate, a second coordinate and a third coordinate;
The constraint adjustment parameter set obtaining module is used for carrying out simulated illumination in the adjustment parameter interval by adopting an operation shadowless lamp, predicting operation field brightness by combining the operation part characteristic information, predicting operation illumination temperature and operation field temperature by combining the operation time characteristic information and the operation person characteristic information, and restraining the predicted operation field brightness not to be in accordance with the first constraint or the predicted operation field temperature not to be in accordance with the adjustment parameters of the second constraint to obtain a constraint adjustment parameter set;
And the constraint adjustment parameter interval obtaining module is used for extracting the constraint adjustment parameter set from the adjustment parameter interval to obtain the constraint adjustment parameter interval.
4. The system of claim 1, wherein indexing the historical adjustment parameter set of the surgical shadowless lamp according to the surgical characteristic information, performing a pull-out process within the constrained adjustment parameter interval, and obtaining an optimized adjustment parameter space, comprises:
the history adjustment parameter set calling module is used for searching in the history operation record data according to the operation characteristic information and calling the history adjustment parameter set of the operation shadowless lamp in the similar operation;
The optimized adjustment parameter space obtaining module is used for extracting the historical adjustment parameter set in the constraint adjustment parameter interval to obtain an optimized adjustment parameter space;
The history adjusting parameter acquisition module is used for acquiring a plurality of history operation field brightness, a plurality of history operator temperatures and a plurality of history operation field temperatures when the plurality of history adjusting parameters in the history adjusting parameter set are adjusted by the shadowless lamp;
The target regulation parameter group obtaining module is used for carrying out sequencing evaluation on the plurality of historical regulation parameters according to the plurality of historical operation field brightness, the plurality of historical operation person temperatures and the plurality of historical operation field temperatures, outputting M historical regulation parameters with the highest comprehensive sequencing as M target regulation parameters, and obtaining the target regulation parameter group, wherein M is an integer larger than 1.
5. The system of claim 1, wherein the optimal adjustment parameter obtaining module is configured to construct an shadowless lamp optimization function that optimizes adjustment parameters of the surgical shadowless lamp, as follows:
；
Wherein FLI is the shadowless fitness, The sum of (2) is 1, which is respectively a brightness weight, an operator irradiation temperature weight and an operation field temperature weight,AndIn order to control the brightness of the operation field, the temperature of the operator and the temperature of the operation field when the operation shadowless lamp is controlled according to the adjusting parameters,AndA surgical field brightness threshold, a surgical exposure temperature threshold, and a surgical field temperature threshold within the first constraint and the second constraint.
6. The system of claim 1, wherein performing adjustment parameter optimization in the optimized adjustment parameter space based on the surgical site feature information, surgical difficulty feature information, surgical time feature information, and operator feature information, comprises:
the index relation obtaining module is used for randomly generating M first adjusting parameters in the optimized adjusting parameter space, and randomly carrying out index association with M target adjusting parameters in the target adjusting parameter group to obtain an index relation;
The second adjustment parameter obtaining module is used for adjusting and updating the M first adjustment parameters by taking the M target adjustment parameters as adjustment directions and adopting adjustment step length to obtain M second adjustment parameters, wherein the M second adjustment parameters have index relation with the M target adjustment parameters;
the third adjustment parameter obtaining module is used for randomly selecting P types of parameters from the M second adjustment parameters and the M target adjustment parameters for exchange updating according to an index relation to obtain M third adjustment parameters, wherein P is an integer greater than or equal to 1 and less than or equal to 5;
The shadowless lamp optimizing function is used for calculating and obtaining M shadowless fitness to be generated;
The target shadowless fitness obtaining module is used for carrying out simulated illumination by adopting the M target adjusting parameters, and calculating M target shadowless fitness by combining the shadowless lamp optimizing function;
The target adjusting parameter group updating module is used for selecting the M generated shadowless fitness and adjusting parameters corresponding to larger shadowless fitness in the M target shadowless fitness according to the index relation, updating the target adjusting parameter group and taking the adjusting parameters as the adjusting direction of next optimizing;
and the optimal adjustment parameter obtaining module is used for continuing to optimize until reaching convergence times, and outputting the adjustment parameter with the maximum shadowless fitness as the optimal adjustment parameter.
7. The system of claim 6, wherein randomly selecting P-type parameters for exchange updating within the M second adjustment parameters and the M target adjustment parameters according to an index relationship comprises:
The parameter deviation set obtaining module is used for calculating deviations of brightness parameters, angle parameters, first coordinate parameters, second coordinate parameters and third coordinate parameters in the M second adjusting parameters and the M target adjusting parameters according to an index relation to obtain M parameter deviation sets, wherein each parameter deviation set comprises 5 parameter deviation information;
The exchange probability set obtaining module is used for obtaining M exchange probability sets through distribution calculation according to the sizes of 5 parameter deviation information in the M parameter deviation sets, wherein each exchange probability set comprises 5 exchange probabilities, and the sizes of the parameter deviation information and the exchange probabilities are positively correlated;
And the adjusting parameter updating module is used for randomly selecting P types of parameters according to the M exchange probability sets and carrying out exchange updating on the adjusting parameters in the M second adjusting parameters and the M target adjusting parameters.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410694622.2A CN118283884B (en) | 2024-05-31 | 2024-05-31 | Self-adaptive adjusting system of operation shadowless lamp |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410694622.2A CN118283884B (en) | 2024-05-31 | 2024-05-31 | Self-adaptive adjusting system of operation shadowless lamp |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118283884A true CN118283884A (en) | 2024-07-02 |
| CN118283884B CN118283884B (en) | 2024-10-11 |
Family
ID=91634210
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410694622.2A Active CN118283884B (en) | 2024-05-31 | 2024-05-31 | Self-adaptive adjusting system of operation shadowless lamp |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118283884B (en) |
Citations (5)
| 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 |
| CN104363676A (en) * | 2014-10-28 | 2015-02-18 | 江苏天语雅思医疗设备有限公司 | LED surgical shadowless lamp system with full-automatic intelligent constant-light control function |
| 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 |
| CN109073176A (en) * | 2018-07-06 | 2018-12-21 | 南京迈瑞生物医疗电子有限公司 | A kind of operating lamp parameter adjusting method, surgical lighting device and readable storage medium storing program for executing |
| KR20240051397A (en) * | 2022-10-12 | 2024-04-22 | 주식회사 덴티스 | Shadowless Method and Apparatus for Surgical Lighting |
-
2024
- 2024-05-31 CN CN202410694622.2A patent/CN118283884B/en active Active
Patent Citations (5)
| 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 |
| CN104363676A (en) * | 2014-10-28 | 2015-02-18 | 江苏天语雅思医疗设备有限公司 | LED surgical shadowless lamp system with full-automatic intelligent constant-light control function |
| 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 |
| CN109073176A (en) * | 2018-07-06 | 2018-12-21 | 南京迈瑞生物医疗电子有限公司 | A kind of operating lamp parameter adjusting method, surgical lighting device and readable storage medium storing program for executing |
| KR20240051397A (en) * | 2022-10-12 | 2024-04-22 | 주식회사 덴티스 | Shadowless Method and Apparatus for Surgical Lighting |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118283884B (en) | 2024-10-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110599451B (en) | Medical image focus detection and positioning method, device, equipment and storage medium | |
| CN110755148B (en) | Pulsed electric field tumor ablation parameter optimization system | |
| EP3347094B1 (en) | Knowledge based multi-criteria optimization for radiotherapy treatment planning | |
| Parikh et al. | Machine learning applied to cervical cancer data | |
| JP2017520319A (en) | Radiotherapy planning system and method | |
| CN102306239A (en) | Method for evaluating and optimizing radiotherapy dose based on cone beam CT (Computer Tomography) image CT value correction technology | |
| CN105120955A (en) | Radiation therapy planning using integrated model | |
| Ahmad et al. | Genetic algorithm-artificial neural network (GA-ANN) hybrid intelligence for cancer diagnosis | |
| CN110276437A (en) | Mixing based on Fuch mapping improves grey wolf optimization algorithm | |
| CN118283884B (en) | Self-adaptive adjusting system of operation shadowless lamp | |
| CN116186978B (en) | Data and physical dual-drive temperature field prediction method for complex geometric area of aircraft | |
| CN106039599A (en) | Prediction method for organs at risk average dosage in intensity modulated radiation therapy and application thereof | |
| CN109377387A (en) | Medical insurance claims expense detection method, device, computer equipment and storage medium | |
| CN116110113A (en) | Iris recognition method based on deep learning | |
| CN114822823A (en) | Tumor fine classification system based on cloud computing and artificial intelligence fusion multi-dimensional medical data | |
| CN108520525A (en) | A kind of spinal cord dividing method based on convex constraint seed region growth | |
| CN110321799B (en) | Scene number selection method based on SBR and average inter-class distance | |
| CN111369074A (en) | Corn yield prediction method based on artificial bee colony optimized BP neural network | |
| CN115438590B (en) | Precipitation prediction correction method and system based on BP neural network | |
| CN112489791B (en) | Clinical path-based auxiliary decision making system and method | |
| CN112785559A (en) | Bone age prediction method based on deep learning and formed by mutually combining multiple heterogeneous models | |
| CN114998513B (en) | Grid remapping method of earth simulation system with circulating boundary based on KD tree | |
| CN112836786B (en) | Cuckoo searching method | |
| CN117297557B (en) | Method for determining regional state parameters, electronic equipment and storage medium | |
| CN117232086B (en) | Method and system for environmental control based on multiple sensors |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |