CN116269738B

CN116269738B - Intelligent control method, device, equipment and storage medium of radio frequency therapeutic apparatus

Info

Publication number: CN116269738B
Application number: CN202310596952.3A
Authority: CN
Inventors: 郭兆学; 黄文基; 文海; 吴达
Original assignee: Shenzhen Keyiren Technology Development Co ltd
Current assignee: Shenzhen Keyiren Technology Development Co ltd
Priority date: 2023-05-25
Filing date: 2023-05-25
Publication date: 2023-08-01
Anticipated expiration: 2043-05-25
Also published as: CN116269738A

Abstract

The invention relates to the field of artificial intelligence, and discloses an intelligent control method, device, equipment and storage medium of a radio frequency therapeutic apparatus, which are used for realizing intelligent control of the radio frequency therapeutic apparatus and improving the control accuracy of the radio frequency therapeutic apparatus. The method comprises the following steps: collecting temperature data of a plurality of characteristic points; constructing a temperature distribution characteristic diagram of the target area according to the temperature data of the plurality of characteristic points, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas; respectively calculating temperature state evaluation indexes of a plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes; inputting the temperature characteristic vector into a preset abnormality detection model of the radio frequency therapeutic apparatus to perform radio frequency region temperature abnormality detection to obtain an abnormality prediction probability value; and (3) performing control strategy matching on the radio frequency therapeutic instrument according to the abnormal prediction probability value to obtain a target control strategy.

Description

Intelligent control method, device, equipment and storage medium of radio frequency therapeutic apparatus

Technical Field

The invention relates to the field of artificial intelligence, in particular to an intelligent control method, device and equipment of a radio frequency therapeutic apparatus and a storage medium.

Background

In recent years, along with the wide application of the radio frequency therapeutic apparatus in the medical field, the requirement on the degree of intelligence of the radio frequency therapeutic apparatus is continuously increasing. The intelligent control method becomes one of the technical innovation directions of the radio frequency therapeutic apparatus. The intelligent control method of the radio frequency therapeutic apparatus can improve the accuracy and the reliability of the radio frequency therapeutic apparatus and reduce the working strength of medical staff.

The existing scheme generally controls the radio frequency therapeutic apparatus only by relying on personnel experience, and lacks quantitative analysis and accurate monitoring; some methods are difficult to adapt to different treatment requirements, and lack universality and flexibility; still other methods have not solved the practical problems of non-uniform temperature distribution.

Disclosure of Invention

The invention provides an intelligent control method, device and equipment of a radio frequency therapeutic apparatus and a storage medium, which are used for realizing intelligent control of the radio frequency therapeutic apparatus and improving the control accuracy of the radio frequency therapeutic apparatus.

The first aspect of the present invention provides an intelligent control method for a radio frequency therapeutic apparatus, where the intelligent control method for a radio frequency therapeutic apparatus includes:

performing radio frequency path planning on a target area to be processed through a preset radio frequency therapeutic apparatus, generating a target radio frequency path, and performing radio frequency operation on the target area through the radio frequency therapeutic apparatus according to the target radio frequency path;

setting a plurality of radio frequency detection characteristic points in the target radio frequency path, and acquiring corresponding characteristic point temperature data according to the plurality of radio frequency detection characteristic points;

constructing a temperature distribution characteristic diagram of the target area according to the temperature data of the plurality of characteristic points, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas;

respectively calculating temperature state evaluation indexes of the plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes;

inputting the temperature characteristic vector into a preset radio frequency therapeutic instrument abnormality detection model to carry out radio frequency region temperature abnormality detection to obtain an abnormality prediction probability value;

and performing control strategy matching on the radio frequency therapeutic instrument according to the abnormal prediction probability value to obtain a target control strategy, and performing next round of radio frequency operation on the target area according to the target control strategy.

With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the performing radio frequency path planning on a target area to be processed by a preset radio frequency therapeutic apparatus, generating a target radio frequency path, and performing radio frequency operation on the target area by the radio frequency therapeutic apparatus according to the target radio frequency path, includes:

extracting features of a target area to be processed to obtain feature information of the target area, wherein the feature information comprises: size, shape, and organization;

based on a navigation system in a preset radio frequency therapeutic apparatus, marking the target area according to the characteristic information, and determining an operation area of the radio frequency therapeutic apparatus;

calculating a radio frequency transmission path of the target area through the navigation system, and generating a target radio frequency path;

controlling the radio frequency therapeutic apparatus, performing radio frequency operation on the target area according to the target radio frequency path, and dynamically adjusting radio frequency operation parameters of the radio frequency therapeutic apparatus.

With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the setting a plurality of radio frequency detection feature points in the target radio frequency path, and collecting a plurality of corresponding feature point temperature data according to the plurality of radio frequency detection feature points, includes:

determining radio frequency energy distribution information according to the target radio frequency path, and setting a plurality of radio frequency detection characteristic points corresponding to the target radio frequency path according to the radio frequency energy distribution information;

acquiring at least three initial temperature data of each radio frequency detection characteristic point according to the plurality of radio frequency detection characteristic points;

and carrying out normalization processing on at least three initial temperature data of each radio frequency detection characteristic point to obtain a plurality of corresponding characteristic point temperature data.

With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the constructing a temperature distribution feature map of the target area according to the plurality of feature point temperature data, and performing area communication on three adjacent radio frequency detection feature points in the temperature distribution feature map, to obtain a plurality of feature areas, includes:

according to the preset feature point sequence, performing sequence conversion on the plurality of feature point temperature data to generate a target temperature value sequence;

performing interpolation analysis on the target temperature value sequence based on a preset interpolation algorithm to generate a temperature distribution characteristic diagram of the target area;

and carrying out region communication on the adjacent three radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic regions.

With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the calculating temperature state evaluation indexes of the plurality of feature areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature feature vector according to the plurality of temperature state evaluation indexes includes:

acquiring characteristic region attributes of the plurality of characteristic regions, constructing a mapping relation between the characteristic region attributes and preset evaluation indexes, and generating an evaluation index mapping table;

inquiring the evaluation indexes corresponding to the characteristic areas from the evaluation index mapping table to obtain a plurality of temperature state evaluation indexes;

and performing vector conversion on the plurality of temperature state evaluation indexes to generate a temperature characteristic vector.

With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, inputting the temperature feature vector into a preset abnormality detection model of the radio frequency therapeutic apparatus to perform radio frequency region temperature abnormality detection, to obtain an abnormality prediction probability value, includes:

inputting the temperature characteristic vector into a preset abnormity detection model of the radio frequency therapeutic apparatus, wherein the abnormity detection model of the radio frequency therapeutic apparatus comprises a coding network, a decoding network and a judging network;

carrying out vector feature reconstruction on the temperature feature vector through the coding network and the decoding network to obtain a target feature vector;

and calculating error values of the target feature vector and a preset template feature vector through the discrimination network to generate an abnormal prediction probability value.

With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the performing control policy matching on the radio frequency therapeutic apparatus according to the anomaly prediction probability value to obtain a target control policy, and performing a next round of radio frequency operation on the target area according to the target control policy includes:

acquiring a temperature anomaly type database, and taking the anomaly prediction probability value as a database index to perform database query to obtain a target anomaly type;

according to the target abnormal type, performing control strategy matching on the radio frequency therapeutic instrument to obtain a target control strategy;

and carrying out next round of radio frequency operation on the target area according to the target control strategy.

The second aspect of the present invention provides an intelligent control device for a radio frequency therapeutic apparatus, the intelligent control device for a radio frequency therapeutic apparatus comprising:

the operation module is used for planning a radio frequency path of a target area to be processed through a preset radio frequency therapeutic apparatus, generating a target radio frequency path, and performing radio frequency operation on the target area according to the target radio frequency path through the radio frequency therapeutic apparatus;

the acquisition module is used for setting a plurality of radio frequency detection characteristic points in the target radio frequency path and acquiring corresponding characteristic point temperature data according to the plurality of radio frequency detection characteristic points;

the construction module is used for constructing a temperature distribution characteristic diagram of the target area according to the plurality of characteristic point temperature data, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas;

the computing module is used for respectively computing the temperature state evaluation indexes of the plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes;

the detection module is used for inputting the temperature characteristic vector into a preset abnormal detection model of the radio frequency therapeutic apparatus to carry out abnormal detection of the temperature of the radio frequency region, so as to obtain an abnormal prediction probability value;

and the control module is used for carrying out control strategy matching on the radio frequency therapeutic instrument according to the abnormal prediction probability value to obtain a target control strategy, and carrying out next round of radio frequency operation on the target area according to the target control strategy.

A third aspect of the present invention provides an intelligent control device for a radio frequency therapeutic apparatus, including: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the intelligent control device of the radio frequency therapeutic apparatus to execute the intelligent control method of the radio frequency therapeutic apparatus.

A fourth aspect of the present invention provides a computer readable storage medium having instructions stored therein, which when run on a computer, cause the computer to perform the above-described intelligent control method of a radio frequency therapeutic apparatus.

In the technical scheme provided by the invention, a plurality of characteristic point temperature data are collected; constructing a temperature distribution characteristic diagram of the target area according to the temperature data of the plurality of characteristic points, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas; respectively calculating temperature state evaluation indexes of a plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes; inputting the temperature characteristic vector into a preset abnormality detection model of the radio frequency therapeutic apparatus to perform radio frequency region temperature abnormality detection to obtain an abnormality prediction probability value; according to the anomaly prediction probability value, the control strategy matching is carried out on the radio frequency therapeutic apparatus to obtain a target control strategy, the real-time monitoring and adjustment of the temperature in the therapeutic process are realized through the construction of the path planning and the temperature distribution characteristic diagram, the control accuracy and reliability are improved, the automatic anomaly detection is realized in the operation process by utilizing the anomaly detection model of the radio frequency therapeutic apparatus, the problems in the process are found in time and are adjusted, so that the potential risk is avoided, the intelligent control of the radio frequency therapeutic apparatus is realized, and the control accuracy of the radio frequency therapeutic apparatus is improved.

Drawings

FIG. 1 is a schematic diagram of an embodiment of an intelligent control method of a radio frequency therapeutic apparatus according to the present invention;

FIG. 2 is a flow chart of acquiring feature point temperature data in an embodiment of the invention;

FIG. 3 is a flow chart of constructing a plurality of feature regions in an embodiment of the invention;

FIG. 4 is a flow chart of constructing a temperature feature vector in an embodiment of the invention;

FIG. 5 is a schematic diagram of an embodiment of an intelligent control device of a RF therapeutic apparatus according to an embodiment of the present invention;

fig. 6 is a schematic diagram of an embodiment of an intelligent control device of a radio frequency therapeutic apparatus according to an embodiment of the present invention.

Detailed Description

The embodiment of the invention provides an intelligent control method, device and equipment of a radio frequency therapeutic apparatus and a storage medium, which are used for realizing intelligent control of the radio frequency therapeutic apparatus and improving the control accuracy of the radio frequency therapeutic apparatus. The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

For ease of understanding, a specific flow of an embodiment of the present invention is described below with reference to fig. 1, and an embodiment of an intelligent control method of a radio frequency therapeutic apparatus in an embodiment of the present invention includes:

s101, performing radio frequency path planning on a target area to be processed through a preset radio frequency therapeutic apparatus, generating a target radio frequency path, and performing radio frequency operation on the target area according to the target radio frequency path through the radio frequency therapeutic apparatus;

it can be understood that the execution body of the present invention may be an intelligent control device of the radio frequency therapeutic apparatus, and may also be a terminal or a server, which is not limited herein. The embodiment of the invention is described by taking a server as an execution main body as an example.

Specifically, the server obtains feature information, such as size, shape, tissue structure and the like, corresponding to the target area from the radio frequency therapeutic apparatus, and further the server extracts the operation area of the target area through the feature information to obtain the operation area of the radio frequency therapeutic apparatus, and further the server performs path planning analysis on the operation area of the radio frequency therapeutic apparatus through a path planning algorithm to generate a target radio frequency path, and further the server performs radio frequency operation on the target area according to the target radio frequency path through the radio frequency therapeutic apparatus.

S102, setting a plurality of radio frequency detection characteristic points in a target radio frequency path, and acquiring corresponding temperature data of the plurality of characteristic points according to the plurality of radio frequency detection characteristic points;

specifically, the server firstly determines the number and the positions of the radio frequency detection feature points, specifically, the server predicts the radio frequency energy distribution information according to the target radio frequency path to obtain corresponding radio frequency energy distribution information, and further determines the number and the positions of the radio frequency feature points according to the radio frequency energy distribution information; finally, acquiring corresponding characteristic point temperature data according to the plurality of radio frequency detection characteristic points, wherein when the characteristic point temperature data are acquired, the radio frequency treatment instrument can perform radio frequency operation according to a preset path, and meanwhile, the corresponding temperature data are acquired at the characteristic points through the infrared thermometer.

S103, constructing a temperature distribution characteristic diagram of the target area according to the temperature data of the plurality of characteristic points, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas;

the server sorts the collected characteristic point temperature data, converts the characteristic point temperature data sequence to generate a corresponding target temperature value sequence, carries out interpolation analysis on the target temperature value sequence so as to fill a data gap, meanwhile, divides the target region into a plurality of characteristic regions by analyzing the temperature difference between the characteristic regions, carries out connectivity analysis, connects the characteristic regions with similar temperature distribution characteristics into a connected region, and finally completes the region connection processing of three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic regions.

S104, respectively calculating temperature state evaluation indexes of the plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes;

specifically, in this step, the server acquires the feature attributes of the plurality of feature areas, where the server firstly divides the areas, collects relevant attribute data of each feature area, such as temperature, humidity, illumination, and the like, by using devices such as a sensor, and the like, before determining the evaluation index, selects the attributes to be evaluated, such as temperature fluctuation degree, humidity uniformity, and the like, and further associates each feature attribute with the index according to a preset evaluation index, establishes a mapping relationship between the attribute and the index, further calculates temperature state evaluation indexes of the plurality of feature areas respectively by using the mapping relationship between the attribute and the index, obtains a plurality of temperature state evaluation indexes, and finally constructs a temperature feature vector according to the plurality of temperature state evaluation indexes.

S105, inputting the temperature characteristic vector into a preset abnormal detection model of the radio frequency therapeutic apparatus to detect the temperature abnormality of the radio frequency region, and obtaining an abnormality prediction probability value;

after the temperature feature vector is input into the abnormality detection model of the radio frequency therapeutic apparatus, the server performs data preprocessing on the temperature feature vector, and in this step, the server performs normalization processing on the temperature feature vector, and then inputs the preprocessed temperature feature vector into the abnormality detection model of the radio frequency therapeutic apparatus to perform temperature abnormality detection of the radio frequency region. The model outputs an abnormal prediction probability value for judging whether the region has abnormal conditions or not, wherein whether the region has abnormal conditions or not can be judged according to the outputted abnormal prediction probability value. If the abnormal prediction probability value is higher, the temperature abnormality of the area is indicated to be easy to occur, and measures are needed to be taken in time for processing.

S106, performing control strategy matching on the radio frequency therapeutic instrument according to the abnormal prediction probability value to obtain a target control strategy, and performing next round of radio frequency operation on the target area according to the target control strategy.

Specifically, a database index is generated according to the abnormal prediction probability value, then the server performs control strategy matching from a preset temperature abnormal type database according to the database index to obtain a corresponding target control strategy, and finally, the next round of radio frequency operation is performed on the target area according to the target control strategy.

In the embodiment of the invention, a plurality of characteristic point temperature data are collected; constructing a temperature distribution characteristic diagram of the target area according to the temperature data of the plurality of characteristic points, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas; respectively calculating temperature state evaluation indexes of a plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes; inputting the temperature characteristic vector into a preset abnormality detection model of the radio frequency therapeutic apparatus to perform radio frequency region temperature abnormality detection to obtain an abnormality prediction probability value; according to the anomaly prediction probability value, the control strategy matching is carried out on the radio frequency therapeutic apparatus to obtain a target control strategy, the real-time monitoring and adjustment of the temperature in the therapeutic process are realized through the construction of the path planning and the temperature distribution characteristic diagram, the control accuracy and reliability are improved, the automatic anomaly detection is realized in the operation process by utilizing the anomaly detection model of the radio frequency therapeutic apparatus, the problems in the process are found in time and are adjusted, so that the potential risk is avoided, the intelligent control of the radio frequency therapeutic apparatus is realized, and the control accuracy of the radio frequency therapeutic apparatus is improved.

In a specific embodiment, the process of executing step S101 may specifically include the following steps:

(1) Extracting features of a target area to be processed to obtain feature information of the target area, wherein the feature information comprises: size, shape, and organization;

(2) Based on a navigation system in a preset radio frequency therapeutic apparatus, marking a target area according to characteristic information, and determining an operation area of the radio frequency therapeutic apparatus;

(3) Calculating a radio frequency transmission path of a target area through a navigation system, and generating a target radio frequency path;

(4) Controlling the radio frequency therapeutic apparatus, performing radio frequency operation on the target area according to the target radio frequency path, and dynamically adjusting radio frequency operation parameters of the radio frequency therapeutic apparatus.

Specifically, the server performs image enhancement processing on the target area to be processed to obtain an image enhanced target area to be processed, and further performs area background analysis on the image enhanced target area to be processed by the server to obtain corresponding area background features, finally, the server performs background separation on the image enhanced target area to be processed by the area background features, and it is to be noted that in this step, when performing area background analysis, the server may perform area background analysis by means of threshold segmentation, and may also perform area background analysis by means of an edge detection algorithm, further, after performing background separation processing, the server performs target recognition on the separated target area, and obtains feature information such as size, shape and tissue structure of the target area by means of feature extraction, and further, the server marks the target area based on a preset navigation system in the radio frequency therapeutic apparatus, and determines an operation area of the radio frequency therapeutic apparatus according to the feature information, wherein the server first sets radio frequency therapeutic parameters including frequency, power, duration, shape and position of a radio frequency electrode, and the like in the navigation system, and further calculates a radio frequency transmission path: and calculating a radio frequency transmission path of the target area by using the navigation system, generating a path plan of radio frequency treatment, finally, controlling the radio frequency therapeutic apparatus, performing radio frequency operation on the target area according to the target radio frequency path, and dynamically adjusting radio frequency operation parameters of the radio frequency therapeutic apparatus.

In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:

s201, determining radio frequency energy distribution information according to a target radio frequency path, and setting a plurality of radio frequency detection feature points corresponding to the target radio frequency path according to the radio frequency energy distribution information;

s202, acquiring at least three initial temperature data of each radio frequency detection characteristic point according to the radio frequency detection characteristic points;

s203, normalizing at least three initial temperature data of each radio frequency detection characteristic point to obtain a plurality of corresponding characteristic point temperature data.

Specifically, after the planning of the target radio frequency path is calculated by using the navigation system, the server detects the energy distribution rule by calculating the distribution information of the radio frequency energy in the target area, and specifically, in the target area, the electromagnetic wave power density of the radio frequency field is measured by using the radio frequency field intensity measuring instrument. The measurement result can be used for calculating the distribution of energy density so as to obtain an energy distribution rule, and it is to be noted that a calculation method of electromagnetic field distribution and energy propagation generally relates to basic concepts of electromagnetic fields such as maxwell's equation set and Poynting vector, and a calculation method of radiation field and scattering field. The normalization process may eliminate the effects between different temperature ranges and different measurement accuracy, making the data easier to compare and analyze. In the embodiment of the invention, the temperature data can be scaled to be between 0 and 1, or the temperature data is ordered according to percentiles and mapped to be between 0 and 1, and the like, so that a plurality of corresponding characteristic point temperature data are finally obtained.

In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:

s301, according to preset feature point ordering, performing sequence conversion on a plurality of feature point temperature data to generate a target temperature value sequence;

s302, carrying out interpolation analysis on a target temperature value sequence based on a preset interpolation algorithm to generate a temperature distribution characteristic diagram of a target area;

and S303, carrying out region communication on the adjacent three radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic regions.

The feature points are data points having obvious features in the data, such as the highest temperature point in the temperature distribution, a point with a large temperature change range at a specific position, and the like, and in this step, the sorting may be performed according to the magnitude of the temperature value and the position of the feature point. After determining the ordering of the feature points, the order may be used to sequence the plurality of feature point temperature data. Next, the temperature data of the plurality of feature points is subjected to the sequence conversion, and in the present invention, the feature conversion is performed by a time sequence, and the time sequence refers to a set of data that continuously changes over a period of time. In temperature analysis, temperature data of feature points usually have a certain time series relationship, for example, the temperature values of the feature points may show a certain rising or falling trend with the lapse of time. Therefore, the temperature data of the plurality of feature points can be formed into a time series in the arrangement order, and the series conversion can be performed on the basis of this. The conversion method can be based on common time sequence analysis technologies, such as wavelet analysis, autoregressive model and the like, and finally generates a target temperature value sequence, and further, interpolation analysis is carried out on the target temperature value sequence, wherein interpolation is a method for estimating intervals of data, and aims at the data with different data point intervals, such as the condition that certain data are missing or observed only at fixed time points. In the temperature analysis, interpolation can be performed by filling in the gaps of the temperature values to obtain a continuous temperature data sequence, and a temperature distribution characteristic diagram of the target area is generated according to the continuous temperature data sequence. The temperature distribution characteristic diagram generally shows the spatial distribution information of temperature change in a certain region and the temperature difference, and finally, the adjacent three radio frequency detection characteristic points in the temperature distribution characteristic diagram are subjected to region communication to obtain a plurality of characteristic regions.

In a specific embodiment, as shown in fig. 4, the process of executing step S104 may specifically include the following steps:

s401, acquiring characteristic region attributes of a plurality of characteristic regions, constructing a mapping relation between the characteristic region attributes and preset evaluation indexes, and generating an evaluation index mapping table;

s402, inquiring evaluation indexes corresponding to a plurality of characteristic areas from an evaluation index mapping table to obtain a plurality of temperature state evaluation indexes;

s403, vector conversion is carried out on the plurality of temperature state evaluation indexes, and a temperature characteristic vector is generated.

Specifically, the server acquires the feature region attributes of the plurality of feature regions. The characteristic region attribute refers to a region having a special meaning and a specific characteristic in the target region, such as a region having a uniform temperature distribution, a region having a large difference from the ambient temperature, or the like. The acquired characteristic region attribute can be acquired through image processing, and a specific region in the temperature distribution can be extracted rapidly and accurately. And secondly, constructing a mapping relation between the characteristic region attribute and a preset evaluation index, and further generating an evaluation index mapping table. The evaluation index mapping table may be understood as a data table of characteristic region attributes and preset evaluation indexes corresponding to the characteristic region attributes, wherein each row describes a specific characteristic region attribute (such as a name, a coordinate, etc.) in a target region and values of a plurality of preset evaluation indexes to which the specific characteristic region attribute belongs. And then, inquiring the evaluation indexes corresponding to the characteristic areas in the evaluation index mapping table to obtain a plurality of temperature state evaluation indexes. The query process can be realized by various means based on keywords, row and column indexes and the like, and finally, vector conversion is carried out on a plurality of temperature state evaluation indexes to generate a temperature characteristic vector. The temperature characteristic vector is a vector composed of a plurality of temperature state evaluation indexes for describing the temperature distribution characteristics in the target area.

In a specific embodiment, the process of executing step S105 may specifically include the following steps:

(1) Inputting the temperature characteristic vector into a preset abnormity detection model of the radio frequency therapeutic apparatus, wherein the abnormity detection model of the radio frequency therapeutic apparatus comprises a coding network, a decoding network and a judging network;

(2) Carrying out vector feature reconstruction on the temperature feature vector through an encoding network and a decoding network to obtain a target feature vector;

(3) And calculating error values of the target feature vector and the preset template feature vector through a discrimination network to generate an abnormal prediction probability value.

Specifically, the temperature characteristic vector is input into a preset abnormal detection model of the radio frequency therapeutic apparatus for processing. The radio frequency therapeutic instrument abnormality detection model comprises three components of a coding network, a decoding network and a distinguishing network. The encoding network is responsible for compressing and encoding the input data (e.g., temperature feature vectors) and mapping the input features to a vector representation of a hidden layer. The decoding network restores the original data and decodes the vector representation of the hidden layer into the original feature vector. The discrimination network is responsible for classifying or evaluating the decoded feature vector. And secondly, in an abnormality detection model of the radio frequency therapeutic apparatus, carrying out vector feature reconstruction on the temperature feature vector. The vector feature reconstruction refers to mapping the vector representation of the hidden layer into a target feature vector, which needs to be subjected to reverse operation through a decoding network to regenerate the target feature vector, and then, error value calculation is performed on the target feature vector and a preset template feature vector through a discrimination network to generate an abnormal prediction probability value.

In a specific embodiment, the process of executing step S106 may specifically include the following steps:

(1) Acquiring a temperature anomaly type database, and taking an anomaly prediction probability value as a database index to perform database query to obtain a target anomaly type;

(2) According to the abnormal type of the target, performing control strategy matching on the radio frequency therapeutic instrument to obtain a target control strategy;

(3) And carrying out next round of radio frequency operation on the target area according to the target control strategy.

Specifically, a temperature anomaly type database is obtained, and the anomaly prediction probability value is used as a database index to perform database query so as to obtain a target anomaly type. The temperature anomaly type database can be established through experimental and test data, and records temperature distribution characteristics, anomaly prediction probability value information and the like of different anomaly types. And during inquiry, according to the information such as the predicted probability value, the temperature distribution characteristics and the like, the abnormal type matched with the predicted probability value is retrieved from the database. And according to the abnormal type of the target, performing control strategy matching on the radio frequency therapeutic instrument to obtain a target control strategy. The control strategy matching can be set according to the characteristics of different abnormality types and treatment requirements, such as adjustment of radio frequency power, conversion action time and the like. And carrying out next round of radio frequency operation on the target area according to the target control strategy. When the next round of radio frequency operation is executed, the operation of the radio frequency therapeutic apparatus is adjusted and controlled in real time according to the preset control strategy parameters, the sensor data and other information.

The method for intelligently controlling the radio frequency therapeutic apparatus in the embodiment of the present invention is described above, and the following describes an intelligent control device for the radio frequency therapeutic apparatus in the embodiment of the present invention, referring to fig. 5, an embodiment of the intelligent control device for the radio frequency therapeutic apparatus in the embodiment of the present invention includes:

the operation module 501 is configured to perform radio frequency path planning on a target area to be processed through a preset radio frequency therapeutic apparatus, generate a target radio frequency path, and perform radio frequency operation on the target area according to the target radio frequency path through the radio frequency therapeutic apparatus;

the acquisition module 502 is configured to set a plurality of radio frequency detection feature points in the target radio frequency path, and acquire corresponding plurality of feature point temperature data according to the plurality of radio frequency detection feature points;

a construction module 503, configured to construct a temperature distribution feature map of the target area according to the plurality of feature point temperature data, and perform area communication on three adjacent radio frequency detection feature points in the temperature distribution feature map to obtain a plurality of feature areas;

the calculating module 504 is configured to calculate temperature state evaluation indexes of the plurality of feature areas, obtain a plurality of temperature state evaluation indexes, and construct a temperature feature vector according to the plurality of temperature state evaluation indexes;

the detection module 505 is configured to input the temperature feature vector into a preset abnormality detection model of the radio frequency therapeutic apparatus to perform abnormality detection on the radio frequency region temperature, so as to obtain an abnormality prediction probability value;

and the control module 506 is configured to perform control policy matching on the radio frequency therapeutic apparatus according to the anomaly prediction probability value, obtain a target control policy, and perform a next round of radio frequency operation on the target area according to the target control policy.

Collecting a plurality of characteristic point temperature data through the cooperative cooperation of the components; constructing a temperature distribution characteristic diagram of the target area according to the temperature data of the plurality of characteristic points, and carrying out area communication on three adjacent radio frequency detection characteristic points in the temperature distribution characteristic diagram to obtain a plurality of characteristic areas; respectively calculating temperature state evaluation indexes of a plurality of characteristic areas to obtain a plurality of temperature state evaluation indexes, and constructing a temperature characteristic vector according to the plurality of temperature state evaluation indexes; inputting the temperature characteristic vector into a preset abnormality detection model of the radio frequency therapeutic apparatus to perform radio frequency region temperature abnormality detection to obtain an abnormality prediction probability value; according to the anomaly prediction probability value, the control strategy matching is carried out on the radio frequency therapeutic apparatus to obtain a target control strategy, the real-time monitoring and adjustment of the temperature in the therapeutic process are realized through the construction of the path planning and the temperature distribution characteristic diagram, the control accuracy and reliability are improved, the automatic anomaly detection is realized in the operation process by utilizing the anomaly detection model of the radio frequency therapeutic apparatus, the problems in the process are found in time and are adjusted, so that the potential risk is avoided, the intelligent control of the radio frequency therapeutic apparatus is realized, and the control accuracy of the radio frequency therapeutic apparatus is improved.

Fig. 5 above describes the intelligent control device of the radio frequency therapeutic apparatus in the embodiment of the present invention in detail from the point of view of modularized functional entities, and the intelligent control device of the radio frequency therapeutic apparatus in the embodiment of the present invention is described in detail from the point of view of hardware processing.

Fig. 6 is a schematic structural diagram of an intelligent control device of a radio frequency therapeutic apparatus according to an embodiment of the present invention, where the intelligent control device 600 of the radio frequency therapeutic apparatus may have a relatively large difference due to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) storing application programs 633 or data 632. Wherein the memory 620 and the storage medium 630 may be transitory or persistent storage. The program stored in the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations in the intelligent control device 600 of the radio frequency therapeutic apparatus. Still further, the processor 610 may be configured to communicate with the storage medium 630 and execute a series of instruction operations in the storage medium 630 on the intelligent control device 600 of the radio frequency therapeutic apparatus.

The intelligent control device 600 of the RF therapeutic apparatus may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input/output interfaces 660, and/or one or more operating systems 631, such as Windows Serve, mac OS X, unix, linux, freeBSD, etc. It will be appreciated by those skilled in the art that the configuration of the intelligent control device of the rf therapeutic apparatus shown in fig. 6 does not constitute a limitation of the intelligent control device of the rf therapeutic apparatus, and may include more or fewer components than shown, or may combine certain components, or may have a different arrangement of components.

The invention also provides intelligent control equipment of the radio frequency therapeutic apparatus, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and when the computer readable instructions are executed by the processor, the processor executes the steps of the intelligent control method of the radio frequency therapeutic apparatus in the above embodiments.

The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and may also be a volatile computer readable storage medium, where instructions are stored in the computer readable storage medium, where the instructions when executed on a computer cause the computer to perform the steps of the intelligent control method of the radio frequency therapeutic apparatus.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random acceS memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent control device of a radio frequency therapeutic apparatus, which is characterized in that the intelligent control device of the radio frequency therapeutic apparatus comprises:

2. An intelligent control device of a radio frequency therapeutic apparatus, which is characterized in that the intelligent control device of the radio frequency therapeutic apparatus comprises: a memory and at least one processor, the memory having instructions stored therein;

the at least one processor invokes the instructions in the memory to cause the intelligent control device of the radio frequency therapeutic apparatus to perform an intelligent control method of the radio frequency therapeutic apparatus, the intelligent control method of the radio frequency therapeutic apparatus comprising:

3. A computer readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement a method for intelligent control of a radio frequency therapeutic apparatus, the method for intelligent control of a radio frequency therapeutic apparatus comprising: