CN115240828A - Operating room intelligent regulation and control system and method - Google Patents
Operating room intelligent regulation and control system and method Download PDFInfo
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Abstract
The invention discloses an operating room intelligent regulation and control system and method, which relate to the field of artificial intelligence, and the method comprises the following steps: acquiring an operation information set of a target user to be operated by collection; collecting an operating room information set of a target operating room; then comparing with a preset operating room requirement information set, and regulating and controlling a target operating room; obtaining a prediction difficulty analysis result through an operation difficulty analysis model; setting and obtaining an operating room equipment regulation and control management scheme and regulating and controlling; and acquiring the predicted operation duration information and anesthesia information, acquiring a hypothermia protection regulation and control scheme through a hypothermia protection analysis model, and performing hypothermia protection regulation and control on a target user. The problems that in the prior art, the regulation and control of an operating room are unscientific and unreasonable, and the regulation and control precision is not high enough are solved. The scientificity and rationality of the regulation and control of the operating room are improved, the regulation and control management quality of the operating room is improved, and meanwhile, the technical effect of the intelligent degree of the regulation and control management of the operating room is effectively improved.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an operating room intelligent regulation and control system and method.
Background
With the rapid development of computer application technology, various industries use computer technology to perform informatization and digital transformation upgrading of the industries. The operating room is an important special place for patients to perform operations and rescue, and becomes an important technical department of hospitals. In the prior art, when the comprehensive regulation and control management is performed on an operating room, air, environment, equipment and the like in the operating room are regulated and controlled according to subjective judgment of doctors or experts on diseases and physical conditions of patients and combined with experiences of historical operations, rescue, treatment and the like, however, the regulation and control precision is low, the regulation and control effect is poor and the like due to the difference of subjective factors of doctors, and then the effects of rehabilitation and operation of the patients are influenced to different degrees. With the rapid development of information technology, research and utilization of modern technology to perform targeted, high-efficiency and high-quality regulation and control management on an operating room have important significance for ensuring that the influence range of the operating room on patients is controllable, improving the success rate of patient operations, improving the intellectualization of the regulation and control management of the operating room and the like.
However, in the prior art, the operating room regulation and control management is carried out through subjectivity or experience, and the technical problems that the regulation and control are unscientific and unreasonable, and meanwhile, the regulation and control precision is not high enough, so that targeted operating room personalized regulation and control can not be carried out based on the actual situation of a patient exist.
Disclosure of Invention
The invention aims to provide an operating room intelligent control system and method, which are used for solving the technical problems that the control is unscientific and unreasonable and the control precision is not high enough so that the targeted individual control of an operating room based on the actual condition of a patient cannot be performed by subjectively or empirically performing the control management of the operating room in the prior art.
In view of the above problems, the present invention provides an operating room intelligent control system and method.
In a first aspect, the present invention provides an operating room intelligent regulation and control system for executing the operating room intelligent regulation and control method, wherein the system comprises: the operation information acquisition module is used for acquiring parameter information of a plurality of user indexes of a target user to perform an operation and acquiring an operation information set; the operating room information acquisition module is used for acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature; the regulation and control parameter determination module is used for analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters and regulating and controlling the operating room; the operation difficulty analysis module is used for inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result; the equipment control scheme acquisition module is used for setting and acquiring a corresponding operating room equipment control management scheme according to the prediction difficulty analysis result and controlling the operating room; the detailed information acquisition module is used for acquiring predicted operation duration information and anesthesia information according to the operation information set; and the hypothermia protection scheme determining module is used for inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme and carrying out hypothermia protection regulation and control on the target user.
In a second aspect, the present invention further provides an operating room intelligent regulation method, which is implemented by the operating room intelligent regulation system in the first aspect, wherein the method includes: acquiring parameter information of a plurality of user indexes of a target user to be operated to acquire an operation information set; acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature; analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters, and regulating and controlling the operating room; inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result; setting and obtaining a corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result, and regulating and controlling the operating room; acquiring predicted operation duration information and anesthesia information according to the operation information set; and inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection regulation and control on the target user.
One or more technical schemes provided by the invention at least have the following technical effects or advantages:
acquiring parameter information of a plurality of user indexes of a target user to be operated to acquire an operation information set; acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature; analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters, and regulating and controlling the operating room; inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result; setting and obtaining a corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result, and regulating and controlling the operating room; acquiring predicted operation duration information and anesthesia information according to the operation information set; and inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection and control on the target user. By intelligently acquiring the operation information of the target user and the operation room information of the target operation room where the target user is located, the high-efficiency acquisition of the intelligent regulation and control foundation is realized, and a technical target of providing a data basis for subsequent regulation and control is realized. And obtaining a preset operating room requirement information set based on the target user and the actual requirement condition of the operation, and regulating and controlling the operating room information by taking the preset operating room requirement information set as a standard. Furthermore, the equipment in the operating room is regulated and controlled by combining the operation difficulty prediction condition of the target user. The technical effects of improving the scientificity and rationality of the regulation and control of the operating room and the personalized intelligent regulation and control based on the target user are achieved. In addition, based on the operation requirement condition of the target user, the individualized hypothermia protection regulation and control scheme aiming at the target user is obtained through the intelligent model, the individualized regulation and control guidance target of the special body state of the target user is realized, and the technical effect of improving the efficiency, the accuracy and the individualized degree of the regulation and control management of the operating room is achieved. Through regulating and controlling the operating room based on the visual data basis, the scientificity and the rationality of the regulation and control of the operating room are improved, the regulation and control management quality of the operating room is improved, and meanwhile, the technical effect of the intelligent degree of the regulation and control management of the operating room is effectively improved.
The above description is only an overview of the technical solutions of the present invention, and the present invention can be implemented in accordance with the content of the description so as to make the technical means of the present invention more clearly understood, and the above and other objects, features, and advantages of the present invention will be more clearly understood.
Drawings
In order to more clearly illustrate the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary, and for those skilled in the art, other drawings can be obtained according to the provided drawings without inventive effort.
FIG. 1 is a schematic structural diagram of an operating room intelligent control system according to the present invention;
FIG. 2 is a schematic flow chart of an operating room intelligent control method according to the present invention;
FIG. 3 is a schematic flow chart of the construction data set obtained in the operating room intelligent control method according to the present invention;
FIG. 4 is a schematic flow chart of the operating room equipment regulation and control scheme obtained in the operating room intelligent regulation and control method according to the present invention;
FIG. 5 is a schematic flow chart of the hypothermia protection and control scheme obtained by the operating room intelligent control method of the present invention.
Description of reference numerals:
the system comprises an operation information acquisition module M100, an operating room information acquisition module M200, a regulation and control parameter determination module M300, an operation difficulty analysis module M400, an equipment management and control scheme acquisition module M500, a detailed information acquisition module M600 and a hypothermia protection scheme determination module M700.
Detailed Description
The invention provides an operating room intelligent control system and method, and solves the technical problems that in the prior art, the control management of the operating room is carried out through subjectivity or experience, the control is unscientific and unreasonable, the control precision is not high enough, and further the targeted individual control of the operating room based on the actual situation of a patient cannot be carried out. Through regulating and controlling the operating room based on the visual data basis, the scientificity and the rationality of the regulation and control of the operating room are improved, the regulation and control management quality of the operating room is improved, and meanwhile, the technical effect of the intelligent degree of the regulation and control management of the operating room is effectively improved.
In the technical scheme of the invention, the data acquisition, storage, use, processing and the like all conform to relevant regulations of national laws and regulations.
The technical solutions in the present invention will be described below clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments of the present invention, and it should be understood that the present invention is not limited by the exemplary embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention. It should be further noted that, for the convenience of description, only some but not all of the elements associated with the present invention are shown in the drawings.
Example one
The invention provides an operating room intelligent control system, please refer to fig. 1, the system comprises:
the operation information acquisition module M100 is used for acquiring parameter information of a plurality of user indexes of a target user to perform an operation and acquiring an operation information set;
the operating room information acquisition module M200 is configured to acquire parameter information of multiple environmental indexes in a current environment of a target operating room, and acquire an operating room information set, where the multiple environmental indexes include humidity and temperature;
the regulation and control parameter determination module M300 is used for analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters and regulating and controlling the operating room;
the operation difficulty analysis module M400 is used for inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result;
the equipment control scheme obtaining module M500 is configured to obtain a corresponding operating room equipment control management scheme according to the prediction difficulty analysis result, and control the operating room;
a detailed information obtaining module M600, configured to obtain predicted operation duration information and anesthesia information according to the operation information set;
and the hypothermia protection scheme determining module M700 is used for inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection regulation and control on the target user.
Further, the operation information collecting module M100 is further configured to:
acquiring anesthesia information of the target user to be operated;
acquiring and obtaining the predicted operation duration information of the target user about to perform the operation;
acquiring and acquiring type information of a surgery to be performed by the target user;
acquiring and acquiring operation complexity information of the target user to be operated;
and taking the anesthesia information, the predicted operation duration information, the type information and the operation complexity information as the operation information set.
Further, the regulation parameter determination module M300 is further configured to:
acquiring preset operating room humidity requirement information and preset operating room temperature requirement information;
acquiring operating room temperature information and operating room humidity information according to the operating room information set;
comparing the operating room temperature information and the operating room humidity information with the preset operating room humidity requirement information and the preset operating room temperature requirement information respectively to obtain comparison results;
and obtaining the operating room regulation and control parameters according to the comparison result.
Further, the operation difficulty analysis module M400 is further configured to:
acquiring and obtaining a construction data set for constructing the operation difficulty analysis model;
constructing the operation difficulty analysis model based on a BP neural network model, wherein input parameters of the operation difficulty analysis model are operation information sets, and output parameters of the operation difficulty analysis model are prediction difficulty analysis results;
carrying out supervision training, verification and testing on the operation difficulty analysis model by adopting the constructed data set until the accuracy of the operation difficulty analysis model reaches a preset requirement;
and inputting the operation information set into the operation difficulty analysis model to obtain the prediction difficulty analysis result.
Further, the operation difficulty analysis module M400 is further configured to:
obtaining a plurality of operating rooms of the same family according to the operation types of the operation performed by the target operating room;
acquiring operation information sets of a plurality of users performing operations in the target operating room and the plurality of operating rooms of the same family, and acquiring a plurality of sample operation information sets;
acquiring a plurality of pieces of operation difficulty information of operations performed in the target operating room and the plurality of operating rooms of the same family, and acquiring a plurality of operation difficulty analysis results;
and dividing and identifying the plurality of sample operation information sets and the plurality of operation difficulty analysis results to obtain the constructed data set, wherein the constructed data set comprises a training data set, a verification data set and a test data set.
Further, the device management and control scheme obtaining module M500 is further configured to:
acquiring a plurality of equipment management personnel schemes in the target operating room;
acquiring and acquiring management effect parameters of the multiple equipment manager schemes in the equipment management process;
constructing a mapping relation between the plurality of operation difficulty analysis results and the management effect parameters;
obtaining a mapping management effect parameter according to the prediction difficulty analysis result and the mapping relation;
and according to the mapping management effect parameters, obtaining corresponding equipment manager schemes from the plurality of equipment manager schemes to serve as the operating room equipment regulation and control management schemes.
Further, the hypothermia protection scheme determining module M700 is further configured to:
obtaining a plurality of users of the same family of the target user according to the operation information set;
acquiring family prediction operation duration information and family anesthesia information in the family operation information sets of the plurality of family users;
constructing a two-dimensional coordinate system based on the family predicted operation duration information and the family anesthesia information;
inputting the family predicted operation duration information and the family anesthesia information of the plurality of family users into the two-dimensional coordinate system to obtain a plurality of coordinate points;
clustering the plurality of coordinate points based on different hypothermia protection schemes adopted by the plurality of users of the same family to obtain a plurality of clustering results;
obtaining the hypothermia protection analysis model according to the two-dimensional coordinate system and the plurality of clustering results;
inputting the predicted operation duration information and the anesthesia information into the hypothermia protection analysis model to obtain a target coordinate point;
and taking the hypothermia protection scheme of the clustering result corresponding to the target coordinate point as the hypothermia protection regulation and control scheme.
Example two
Based on the same inventive concept as the operating room intelligent control system in the first embodiment, the invention provides an operating room intelligent control method. The operating room intelligent control system in the first embodiment can realize the content of the operating room intelligent control method, and is also applicable to the explanation content of the operating room intelligent control method in the second embodiment. The implementation process of the intelligent operating room control system is specifically described with reference to the second embodiment. Referring to fig. 2, the method specifically includes the following steps:
step S100: acquiring parameter information of a plurality of user indexes of a target user to be operated to obtain an operation information set;
further, step S100 of the present invention further includes:
step S110: acquiring anesthesia information of the target user to be operated;
step S120: acquiring and obtaining the predicted operation duration information of the target user about to perform the operation;
step S130: acquiring and acquiring type information of a surgery to be performed by the target user;
step S140: acquiring and acquiring operation complexity information of the target user to be operated;
step S150: and taking the anesthesia information, the predicted operation duration information, the type information and the operation complexity information as the operation information set.
Step S200: acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature;
specifically, the operating room intelligent control method is applied to the operating room intelligent control system, and can intelligently acquire the operating information of a target user and the operating room information of a target operating room where the target user is located, and control the operating room information by combining a preset operating room requirement information set.
Firstly, the operation related data of the target user is intelligently collected to obtain the operation information set. The operation information set comprises various index parameter information of the operation to be performed by the target user, including anesthesia information, predicted operation duration information, type information and operation complexity information of the operation to be performed by the target user. Exemplary information such as anesthesia position, anesthesia amount, operation type information such as surgery, internal medicine and the like, and the duration of the operation to be performed by the target user is predicted based on the historical duration data of the operation, and the data of the technology, the technical maturity, the success rate and the like required by the operation. The target user refers to any patient user who uses the operating room intelligent control system to adjust and control the environment, equipment and the like before and in the operating room.
Furthermore, relevant data information collection is carried out on the operating room where the target user is currently located, namely the operating room where the target user is going to operate, and the collected information is combined into Su Songhu operating room information set. Such as the area of the operating room, ventilation, air humidity, air temperature, etc., as examples.
By collecting the operation information set of the target user and the operating room information of the target operating room where the target user is located, the purpose of providing operation related data basis for the follow-up intelligent control of the operating room is achieved, and therefore the technical effect of improving the scientificity and rationality of the intelligent control of the operating room is achieved.
Step S300: analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters, and regulating and controlling the operating room;
further, step S300 of the present invention further includes:
step S310: acquiring preset operating room humidity requirement information and preset operating room temperature requirement information;
step S320: acquiring operating room temperature information and operating room humidity information according to the operating room information set;
step S330: comparing the operating room temperature information and the operating room humidity information with the preset operating room humidity requirement information and the preset operating room temperature requirement information respectively to obtain comparison results;
step S340: and obtaining the operating room regulation and control parameters according to the comparison result.
Specifically, when the operating room information set and the preset operating room requirement information set are analyzed and compared, the environmental index parameters in the operating room information set and the environmental index parameters in the preset operating room requirement information set are sequentially compared and analyzed.
Firstly, preset environment index data are extracted from the preset operating room requirement information set. The preset operating room requirement information set is an index parameter set of a target operating room, which can affect an operation to be performed by a target user, and is obtained by analyzing the influence of operating room information on the operation success rate, the operation process and the like based on historical operation data. The preset operating room requirement information set comprises preset operating room humidity requirement information and preset operating room temperature requirement information. Exemplary is to preset the ambient temperature of the target operating room to 22-25 deg.C, the humidity to 50-60 deg.C, etc. Then, the actually collected environmental index data, i.e. the operating room temperature information and the operating room humidity information, are extracted from the operating room information set. Further, the operating room humidity information is compared with the preset operating room humidity requirement information to obtain an operating room humidity comparison result. And comparing the operating room temperature information with preset operating room temperature requirement information to obtain an operating room temperature comparison result. Finally, based on the comparison result of each environmental index, the operating room environment is adjusted by preset data, that is, the actually collected operating room environmental index which does not meet the preset requirement is adjusted to meet the corresponding preset requirement.
By taking the preset data of each operating room environment index in the preset operating room requirement information set as the standard, the operating room environment indexes are sequentially adjusted, and the technical effect of improving the environment regulation and control accuracy and reliability of the operating room is achieved.
Step S400: inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result;
further, step S400 of the present invention further includes:
step S410: acquiring a construction data set for constructing the operation difficulty analysis model;
step S420: constructing the operation difficulty analysis model based on a BP neural network model, wherein input parameters of the operation difficulty analysis model are operation information sets, and output parameters of the operation difficulty analysis model are prediction difficulty analysis results;
step S430: carrying out supervision training, verification and testing on the operation difficulty analysis model by adopting the constructed data set until the accuracy of the operation difficulty analysis model reaches a preset requirement;
step S440: and inputting the operation information set into the operation difficulty analysis model to obtain the prediction difficulty analysis result.
Further, as shown in fig. 3, step S410 of the present invention further includes:
step S411: obtaining a plurality of operating rooms of the same family according to the operation types of the operation performed by the target operating room;
step S412: acquiring operation information sets of a plurality of users performing operations in the target operating room and the plurality of operating rooms of the same family, and acquiring a plurality of sample operation information sets;
step S413: acquiring a plurality of pieces of operation difficulty information of operations performed in the target operating room and the plurality of operating rooms of the same family, and acquiring a plurality of operation difficulty analysis results;
step S414: and dividing and identifying the plurality of sample operation information sets and the plurality of operation difficulty analysis results to obtain the constructed data set, wherein the constructed data set comprises a training data set, a verification data set and a test data set.
Specifically, each operation information in the operation information set is intelligently analyzed through an operation difficulty analysis model, and difficulty prediction is carried out on the operation to be carried out by the target user according to the analysis result, so that the prediction difficulty analysis result is obtained.
Firstly, a plurality of operating rooms of the same family are obtained according to the operation type of the operation performed by the target operating room. Wherein the operation types of the operations performed in history in each of the plurality of operating rooms in the same family are the same as the operation type in the target operating room. Then, based on the operation information of the target operating room and the operation information of the same family of operating rooms, an operation information set comprising operation information of a plurality of historical operation users is acquired, and the operation information sets of the plurality of users, namely the sample operation information sets, are used as basic data for training the operation difficulty analysis model. Furthermore, a plurality of operation difficulty information of operations in the target operating room and the plurality of operating rooms of the same family are collected in sequence, and the operation difficulty analysis results are obtained through sequential analysis. And finally, dividing and identifying the plurality of sample operation information sets and the plurality of operation difficulty analysis results to obtain the constructed data set, wherein the constructed data set comprises a training data set, a verification data set and a test data set. For example, 50% of the plurality of sample surgery information sets are used as training data, 30% of the plurality of sample surgery information sets are used as verification data, and 20% of the plurality of sample surgery information sets are used as test data.
Further, the operation difficulty analysis model is constructed based on a BP neural network model. The input parameters of the operation difficulty analysis model are operation information sets, and the output parameters are prediction difficulty analysis results. And then, taking the construction data set as training data, and respectively performing supervision training, verification and testing on the operation difficulty analysis model through the training data set, the verification data set and the test data set until the accuracy of the operation difficulty analysis model reaches a preset requirement, which indicates that the operation difficulty analysis model is trained completely. The preset requirement is an accuracy threshold value which is set in advance and set in the system after comprehensive analysis by combining relevant medical experts and the like with actual operation conditions. Exemplary, the predetermined requirement is set to an accuracy of 95% or more. And finally, inputting the operation information set into the operation difficulty analysis model, obtaining the difficulty prediction of the operation to be performed by the target user, namely obtaining the prediction difficulty analysis result, setting and obtaining a corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result, and regulating and controlling the operating room.
And regulating and controlling equipment in the operating room by combining the operation difficulty prediction condition of the target user. The technical effects of improving the scientificity and rationality of the regulation and control of the operating room and the personalized intelligent regulation and control based on the target user are achieved.
Step S500: setting and obtaining a corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result, and regulating and controlling the operating room;
further, as shown in fig. 4, step S500 of the present invention further includes:
step S510: acquiring a plurality of equipment manager schemes in the target operating room;
step S520: acquiring and obtaining management effect parameters in the process of managing the equipment by the multiple equipment manager schemes;
step S530: constructing a mapping relation between the plurality of operation difficulty analysis results and the management effect parameters;
step S540: obtaining a mapping management effect parameter according to the prediction difficulty analysis result and the mapping relation;
step S550: and according to the mapping management effect parameters, obtaining corresponding equipment manager schemes from the plurality of equipment manager schemes to serve as the operating room equipment regulation and control management scheme.
Specifically, before the operating room is regulated and controlled according to the prediction difficulty analysis result obtained by the operation difficulty analysis model through intelligent analysis, a corresponding operating room equipment regulation and control management scheme is obtained based on corresponding operating room history management personnel, equipment, management condition data and the like.
A plurality of device administrator plans within the target operating room are first collected, illustratively, number of administrators, level, corresponding management assignment combinations, etc. for the target operating room. And then, acquiring management effect parameters actually generated by the multiple equipment manager schemes in the historical equipment management process. Furthermore, a mapping relation between the plurality of operation difficulty analysis results and the management effect parameters is established, and the mapping management effect parameters of the target operating room are obtained through analysis by combining the prediction difficulty analysis results obtained through intelligent analysis of the operation difficulty analysis model. And finally, according to the mapping management effect parameters, obtaining corresponding equipment manager schemes from the plurality of equipment manager schemes, and taking the equipment manager schemes as the operating room equipment regulation and control management schemes.
And regulating and controlling equipment in the operating room by combining the operation difficulty prediction condition of the target user. The technical effects of improving the scientificity and rationality of the regulation and control of the operating room and the individualized intelligent regulation and control based on the target user are achieved.
Step S600: acquiring predicted operation duration information and anesthesia information according to the operation information set;
step S700: and inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection and control on the target user.
Further, as shown in fig. 5, step S700 of the present invention further includes:
step S710: obtaining a plurality of family users of the target user according to the operation information set;
step S720: acquiring family prediction operation duration information and family anesthesia information in the family operation information sets of the plurality of family users;
step S730: constructing a two-dimensional coordinate system based on the family predicted operation duration information and the family anesthesia information;
step S740: inputting the family predicted operation duration information and the family anesthesia information of the plurality of family users into the two-dimensional coordinate system to obtain a plurality of coordinate points;
step S750: clustering the plurality of coordinate points based on different hypothermia protection schemes adopted by the plurality of users of the same family to obtain a plurality of clustering results;
step S760: obtaining the hypothermia protection analysis model according to the two-dimensional coordinate system and the plurality of clustering results;
step S770: inputting the predicted operation duration information and the anesthesia information into the hypothermia protection analysis model to obtain a target coordinate point;
step S780: and taking the hypothermia protection scheme of the clustering result corresponding to the target coordinate point as the hypothermia protection regulation and control scheme.
Specifically, the predicted operation duration information and the anesthesia information in the operation information set are obtained through extraction, and a hypothermia protection regulation scheme is obtained through intelligent analysis of a hypothermia protection analysis model and is used for protection regulation of hypothermia during operation of the target user.
Firstly, historical operation information of a plurality of same family users of the target user is collected, namely, same family predicted operation duration information and same family anesthesia information in a same family operation information set of the plurality of same family users are collected to construct a two-dimensional coordinate system. And then inputting the family predicted operation duration information and the family anesthesia information of the plurality of family users into the two-dimensional coordinate system to obtain a plurality of coordinate points of historical similar users and similar operations. And further collecting different hypothermia protection schemes adopted by the multiple users in the same family, and clustering the multiple coordinate points to obtain multiple clustering results. Exemplarily, two same-family users respectively adopt different hypothermia protection schemes for historical surgeries, obtain different protection effects and further have different degrees of influence on the surgeries. And finally, establishing the hypothermia protection analysis model according to the two-dimensional coordinate system and the clustering results, intelligently analyzing the predicted operation duration information and the anesthesia information of the target user by using the hypothermia protection analysis model to obtain a target coordinate point of the target user, matching a corresponding hypothermia protection scheme according to the clustering result corresponding to the target coordinate point, and finally taking the matched hypothermia protection scheme as a hypothermia protection regulation and control scheme of the target user.
The personalized hypothermia protection regulation and control scheme for the target user is obtained through the intelligent model, the personalized regulation and control guidance target for the special physical state of the target user is achieved, and the technical effects of improving the efficiency, accuracy and personalization degree of the regulation and control management of the operating room are achieved.
In summary, the intelligent control method for the operating room provided by the invention has the following technical effects:
acquiring parameter information of a plurality of user indexes of a target user to be operated to acquire an operation information set; acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature; analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters, and regulating and controlling the operating room; inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result; setting and obtaining a corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result, and regulating and controlling the operating room; acquiring predicted operation duration information and anesthesia information according to the operation information set; and inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection and control on the target user. By intelligently acquiring the operation information of the target user and the operation room information of the target operation room where the target user is located, the high-efficiency acquisition of the intelligent regulation and control foundation is realized, and a technical target of providing a data basis for subsequent regulation and control is realized. And obtaining a preset operating room requirement information set based on the target user and the actual requirement condition of the operation, and regulating and controlling the operating room information by taking the preset operating room requirement information set as a standard. Furthermore, the equipment in the operating room is regulated and controlled by combining the operation difficulty prediction condition of the target user. The technical effects of improving the scientificity and rationality of the regulation and control of the operating room and the personalized intelligent regulation and control based on the target user are achieved. In addition, based on the operation requirement condition of the target user, the individualized hypothermia protection regulation and control scheme aiming at the target user is obtained through the intelligent model, the individualized regulation and control guidance target of the special body state of the target user is realized, and the technical effect of improving the efficiency, the accuracy and the individualized degree of the regulation and control management of the operating room is achieved. Through regulating and controlling the management to the operating room based on the visual data basis, the scientificity and the rationality of regulating and controlling the operating room are improved, so that the regulating and controlling management quality of the operating room is improved, and meanwhile, the technical effect of the intelligent degree of regulating and controlling management of the operating room is effectively improved.
The embodiments are described in a progressive manner, and each embodiment focuses on differences from other embodiments. The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. 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 invention. Thus, the present invention 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.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, it is intended that the present invention also encompass such modifications and variations.
Claims (8)
1. An operating room intelligent regulation and control system, characterized in that includes:
the operation information acquisition module is used for acquiring parameter information of a plurality of user indexes of a target user to perform an operation and acquiring an operation information set;
the operating room information acquisition module is used for acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature;
the regulation and control parameter determination module is used for analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters and regulating and controlling the operating room;
the operation difficulty analysis module is used for inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result;
the equipment control scheme acquisition module is used for setting and acquiring a corresponding operating room equipment control management scheme according to the prediction difficulty analysis result and controlling the operating room;
the detailed information acquisition module is used for acquiring predicted operation duration information and anesthesia information according to the operation information set;
and the hypothermia protection scheme determining module is used for inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection regulation and control on the target user.
2. The system of claim 1, wherein the acquiring parameter information for obtaining a plurality of user indicators of a target user about to perform a surgery comprises:
acquiring anesthesia information of the target user to be operated;
acquiring and obtaining the predicted operation duration information of the target user about to perform the operation;
acquiring type information of an operation to be performed by the target user;
acquiring and acquiring operation complexity information of the target user to be operated;
and taking the anesthesia information, the predicted operation duration information, the type information and the operation complexity information as the operation information set.
3. The system of claim 1, wherein analyzing and comparing the set of operating room information with a set of pre-set operating room requirement information comprises:
acquiring preset operating room humidity requirement information and preset operating room temperature requirement information;
acquiring operating room temperature information and operating room humidity information according to the operating room information set;
comparing the operating room temperature information and the operating room humidity information with the preset operating room humidity requirement information and the preset operating room temperature requirement information respectively to obtain comparison results;
and obtaining the operating room regulation and control parameters according to the comparison result.
4. The system of claim 1, wherein inputting the set of surgical information into a surgical difficulty analysis model comprises:
acquiring and obtaining a construction data set for constructing the operation difficulty analysis model;
constructing the operation difficulty analysis model based on a BP neural network model, wherein input parameters of the operation difficulty analysis model are operation information sets, and output parameters of the operation difficulty analysis model are prediction difficulty analysis results;
carrying out supervision training, verification and testing on the operation difficulty analysis model by adopting the constructed data set until the accuracy of the operation difficulty analysis model reaches a preset requirement;
and inputting the operation information set into the operation difficulty analysis model to obtain the prediction difficulty analysis result.
5. The system of claim 4, wherein the acquiring obtains a set of construction data for constructing the surgical difficulty analysis model, comprising:
obtaining a plurality of operating rooms of the same family according to the operation types of the operation performed by the target operating room;
acquiring operation information sets of a plurality of users performing operations in the target operating room and the plurality of operating rooms of the same family, and acquiring a plurality of sample operation information sets;
acquiring a plurality of pieces of operation difficulty information of operations performed in the target operating room and the plurality of operating rooms of the same family, and acquiring a plurality of operation difficulty analysis results;
and dividing and identifying the plurality of sample operation information sets and the plurality of operation difficulty analysis results to obtain the constructed data set, wherein the constructed data set comprises a training data set, a verification data set and a test data set.
6. The system of claim 5, wherein the setting and obtaining of the corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result comprises:
acquiring a plurality of equipment management personnel schemes in the target operating room;
acquiring and acquiring management effect parameters of the multiple equipment manager schemes in the equipment management process;
constructing a mapping relation between the plurality of operation difficulty analysis results and the management effect parameters;
obtaining a mapping management effect parameter according to the prediction difficulty analysis result and the mapping relation;
and according to the mapping management effect parameters, obtaining corresponding equipment manager schemes from the plurality of equipment manager schemes to serve as the operating room equipment regulation and control management schemes.
7. The system of claim 1, wherein inputting the predicted procedure length information and anesthesia information into a hypothermia protection analysis model comprises:
obtaining a plurality of users of the same family of the target user according to the operation information set;
acquiring family prediction operation duration information and family anesthesia information in the family operation information sets of the plurality of family users;
constructing a two-dimensional coordinate system based on the family predicted operation duration information and the family anesthesia information;
inputting the family predicted operation duration information and the family anesthesia information of the plurality of family users into the two-dimensional coordinate system to obtain a plurality of coordinate points;
clustering the plurality of coordinate points based on different hypothermia protection schemes adopted by the plurality of users of the same family to obtain a plurality of clustering results;
obtaining the hypothermia protection analysis model according to the two-dimensional coordinate system and the clustering results;
inputting the predicted operation duration information and the anesthesia information into the hypothermia protection analysis model to obtain a target coordinate point;
and taking the hypothermia protection scheme of the clustering result corresponding to the target coordinate point as the hypothermia protection regulation and control scheme.
8. An operating room intelligent control method is characterized by comprising the following steps:
acquiring parameter information of a plurality of user indexes of a target user to be operated to obtain an operation information set;
acquiring parameter information of multiple environmental indexes in the current environment of a target operating room to obtain an operating room information set, wherein the multiple environmental indexes comprise humidity and temperature;
analyzing and comparing the operating room information set with a preset operating room requirement information set to obtain operating room regulation and control parameters, and regulating and controlling the operating room;
inputting the operation information set into an operation difficulty analysis model to obtain a prediction difficulty analysis result;
setting and obtaining a corresponding operating room equipment regulation and control management scheme according to the prediction difficulty analysis result, and regulating and controlling the operating room;
acquiring predicted operation duration information and anesthesia information according to the operation information set;
and inputting the predicted operation duration information and the anesthesia information into a hypothermia protection analysis model to obtain a hypothermia protection regulation and control scheme, and performing hypothermia protection and control on the target user.
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| CN202210862500.0A CN115240828A (en) | 2022-07-21 | 2022-07-21 | Operating room intelligent regulation and control system and method |
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| CN202210862500.0A CN115240828A (en) | 2022-07-21 | 2022-07-21 | Operating room intelligent regulation and control system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117524429A (en) * | 2023-10-17 | 2024-02-06 | 武汉华康世纪医疗股份有限公司 | Purifying control method and system for operating room |
| CN117524429B (en) * | 2023-10-17 | 2024-05-10 | 武汉华康世纪医疗股份有限公司 | Purifying control method and system for operating room |
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2022
- 2022-07-21 CN CN202210862500.0A patent/CN115240828A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117524429A (en) * | 2023-10-17 | 2024-02-06 | 武汉华康世纪医疗股份有限公司 | Purifying control method and system for operating room |
| CN117524429B (en) * | 2023-10-17 | 2024-05-10 | 武汉华康世纪医疗股份有限公司 | Purifying control method and system for operating room |
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