Intelligent analysis system and method for operating parameters of life detection instrument based on image recognition

Abstract

The invention relates to the technical field of operation parameter analysis and processing, and discloses a life detector operation parameter intelligent analysis system and method based on image recognition. Life detector rescue detection existing vital sign image data are scientifically preset, and intelligent analysis of a radar life detector electromagnetic wave emission decomposition frequency rescue detection result is carried out in combination with an intelligent identification algorithm and rescue detection electromagnetic wave emission band decomposition frequency detection image parameters. Accurate detection of the rescue detection effect of the electromagnetic wave emission frequency of the radar life detector is realized; and according to the rescue detection electromagnetic wave emission wave band decomposition frequency detection result analysis parameter, the intelligent search algorithm and the rescue detection electromagnetic wave emission wave band decomposition frequency parameter are combined to intelligently screen the optimal electromagnetic wave emission frequency of the rescue detection operation of the radar life detector. The intelligent screening of the optimal operation working parameters of the radar life detector is realized, and the rescue detection quality and efficiency of the radar life detector are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of operating parameter analysis and processing, and in particular to an intelligent analysis system and method for operating parameters of a life detector based on image recognition. Background Art

[0002] Life detectors are high-tech devices primarily used to detect signs of life and are widely used in disaster relief, safety inspections, and other fields. In disaster relief, life detectors can help rescue workers quickly locate trapped victims after disasters such as earthquakes, mudslides, and building collapses. For example, radar life detectors are particularly suitable for emergency rescue missions such as earthquakes and landslides. They can analyze the time-domain Doppler effect produced by human motion on radar echoes to determine the presence and specific location of living organisms within the rubble. Furthermore, life detectors provide technical support for search and rescue operations in complex environments and enhance the accuracy of safety inspections. The technical advantages of life detectors include fast, accurate, and non-destructive detection capabilities, and they can operate in a variety of harsh environments. However, their use also presents challenges, such as signal interference in complex environments, equipment cost, and operational complexity. A radar life detector consists of two components: a radar detector and a display controller. The radar detector transmits and receives electromagnetic waves and performs pre-processing on the received signals, while the display controller performs signal processing, digital filtering, and automatic analysis. The electromagnetic wave emission frequency of existing radar life detectors for rescue operations requires rescue personnel to manually set it based on the rescue scenario. It cannot accurately identify the type of rescue scenario and scientifically match the electromagnetic wave emission band, nor can it intelligently screen the optimal electromagnetic wave emission frequency, reducing the intelligence of the radar life detector and the accuracy of rescue detection.

[0003] A Chinese invention patent with announcement number CN117313278B discloses a method and system for intelligent matching of operating control parameters of a large hydraulic pile hammer. The method collects simulation data and constructs a neural network-based proxy model. At the same time, the proxy model uses a transfer learning algorithm to reduce the deviation between simulation domain data and real machine domain data, thereby reducing the impact of the deviation in actual engineering applications, and selecting the optimal energy conversion efficiency of the pile hammer hydraulic system and pile driver control parameters, thereby realizing automated and precise control of the hydraulic pile hammer operation. However, the above technical solution cannot accurately and intelligently match the working operating parameters of the large hydraulic pile hammer based on the usage scenario parameters of the large hydraulic pile hammer, reducing the intelligence of the large hydraulic pile hammer operation. Summary of the Invention

[0004] (1) Technical problems solved To solve the above problems of the existing radar life detector, the electromagnetic wave transmission frequency needs to be set by the rescue personnel based on the rescue scene, which cannot accurately identify the rescue scene type, scientifically match the electromagnetic wave transmission band, intelligently screen the optimal electromagnetic wave transmission frequency, and reduce the intelligence and rescue detection accuracy of the radar life detector. The present application realizes the above purposes of online collection of rescue site environment image parameters, accurate identification of rescue scene type, scientific matching of rescue detection electromagnetic wave transmission band, autonomous and efficient establishment of rescue detection electromagnetic wave transmission band decomposition frequency, efficient collection of rescue detection electromagnetic wave transmission band decomposition frequency detection image parameters, intelligent analysis of rescue detection electromagnetic wave transmission band decomposition frequency detection results, and accurate screening of life detector optimal rescue detection electromagnetic wave transmission frequency information.

[0005] (II) Technical solutions The present application is realized by the following technical solutions: a life detector operating parameter intelligent analysis method based on image recognition, comprising the following steps: S1, collecting rescue environment image data; S2, identifying the rescue scene type of the life detector rescue detection based on the rescue environment image data and different rescue scene type image data, and generating target rescue scene type identification data; S3, identifying the electromagnetic wave transmission band object required for the life detector rescue detection operation based on the target rescue scene type identification data and different rescue scene rescue detection electromagnetic wave transmission band data, and generating target rescue detection electromagnetic wave transmission band object identification data; S4, performing frequency interval decomposition processing on the electromagnetic wave transmission band of the life detector based on the target rescue detection electromagnetic wave transmission band object identification data and rescue detection electromagnetic wave transmission band frequency discrete decomposition value data, and constructing rescue detection electromagnetic wave transmission band decomposition frequency data; S5, collecting real-time rescue detection feedback image data of the life detector with different electromagnetic wave transmission frequencies based on the rescue detection electromagnetic wave transmission band decomposition frequency data, and generating rescue detection electromagnetic wave transmission band decomposition frequency detection image data; S6, analyzing the real-time rescue detection results of the life detector with different electromagnetic wave transmission frequencies based on the rescue detection electromagnetic wave transmission band decomposition frequency detection image data and life feature image data existing in the life detector rescue detection, and constructing rescue detection electromagnetic wave transmission band decomposition frequency detection result analysis data; S7, according to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and the rescue detection electromagnetic wave emission band decomposition frequency data, the life detection instrument rescue detection operation optimal electromagnetic wave emission frequency object screening processing is generated, and the life detection instrument optimal rescue detection electromagnetic wave emission frequency data is generated.

[0006] Preferably, the operation steps of collecting rescue environment image data are as follows: S11, through the cloud lens, the rescue scene environment image information of the radar life detection instrument executing rescue operation is collected online, and a rescue environment image data set is generated , ; wherein represents the collected rescue environment image data , represents the maximum value of the number of rescue environment images.

[0007] Preferably, according to the rescue environment image data and different rescue scene type image data, the operation steps of the life detection instrument rescue detection rescue scene type identification processing are as follows: S21, establish different rescue scene type image data set , ; wherein represents the different rescue scene type image data corresponding to the th rescue scene type, represents the maximum value of the number of rescue scene types; the rescue scene types include the ruin rescue scene type, the collapse accident rescue scene type and the underwater rescue scene type; the different rescue scene type image data represents the standard scene environment image information corresponding to different types of rescue scene; S22, using the iterative deepening search algorithm, the rescue environment image data in the rescue environment image data set and the different rescue scene type image data in the different rescue scene type image data set are matched, the different rescue scene type image data corresponding to the rescue environment image data are searched out, and the rescue scene type text information corresponding to the different rescue scene type image data is matched with the rescue environment image data , and the target rescue scene type identification data is generated through data identification .

[0008] Preferably, the target rescue scene type identification data and the different rescue scene rescue detection electromagnetic wave emission band data are used to identify the electromagnetic wave emission band object required for the rescue detection operation of the life detector, and the operation steps for generating the target rescue detection electromagnetic wave emission band object identification data are as follows: S31, establishing a set of different rescue scene rescue detection electromagnetic wave emission band data , wherein represents the different rescue scene rescue detection electromagnetic wave emission band data corresponding to the i-th rescue scene type, , wherein and respectively represent the minimum electromagnetic wave emission frequency data and the maximum electromagnetic wave emission frequency data of the different rescue scene rescue detection in the different rescue scene rescue detection electromagnetic wave emission band data and The units of and are all gigahertz; the different rescue scene rescue detection electromagnetic wave emission band data represents the standard radar life detector electromagnetic wave emission frequency interval parameter corresponding to the different types of rescue scene; S32, using a unified cost search algorithm to perform rescue scene type character matching between the target rescue scene type identification data and the different rescue scene rescue detection electromagnetic wave emission band data in the set of different rescue scene rescue detection electromagnetic wave emission band data , search for the different rescue scene rescue detection electromagnetic wave emission band data corresponding to the target rescue scene type identification data , and construct the target rescue detection electromagnetic wave emission band object identification data , wherein , , and respectively represent the target rescue detection minimum electromagnetic wave emission frequency data and the target rescue detection maximum electromagnetic wave emission frequency data in the target rescue detection electromagnetic wave emission band object identification data The units of and are all gigahertz; the target rescue detection electromagnetic wave emission band object identification data represents the optimal electromagnetic wave emission frequency interval parameter for the radar life detector rescue detection operation identified by the rescue site environment type.

[0009] ​​​​​Preferably, according to the target rescue detection electromagnetic wave emission band object identification data and rescue detection electromagnetic wave emission band frequency discrete decomposition value data, the frequency interval decomposition processing of the electromagnetic wave emission band of the life detection instrument is carried out, and the operation steps of constructing the rescue detection electromagnetic wave emission band decomposition frequency data are as follows: S41, establishing rescue detection electromagnetic wave emission band frequency discrete decomposition value data set , ; wherein represents the rescue detection electromagnetic wave emission band frequency discrete decomposition value data, represents the rescue detection electromagnetic wave emission band frequency discrete decomposition value data, represents the maximum value of the rescue detection electromagnetic wave emission band frequency discrete decomposition value data, which represents the frequency interval value of decomposing the rescue detection electromagnetic wave emission band of the radar life detection instrument into discrete single electromagnetic wave emission frequency, The unit of is gigahertz; S42, the target rescue detection electromagnetic wave emission band object identification data corresponding electromagnetic wave emission band starts from the target rescue detection minimum electromagnetic wave emission frequency data and the rescue detection electromagnetic wave emission band frequency discrete decomposition value data set in the rescue detection electromagnetic wave emission band frequency discrete decomposition value data According to the rescue detection electromagnetic wave emission band frequency discrete decomposition value number, the electromagnetic wave emission frequency value of the radar life detection instrument electromagnetic wave emission band is respectively processed and decomposed, until the current electromagnetic wave emission frequency of decomposition is not less than the target rescue detection maximum electromagnetic wave emission frequency data , and the rescue detection electromagnetic wave emission band decomposition frequency data set matrix is constructed, wherein represents the target rescue detection electromagnetic wave emission band object identification data According to the rescue detection electromagnetic wave emission band frequency discrete decomposition value data from the target rescue detection minimum electromagnetic wave emission frequency data , the electromagnetic wave emission frequency decomposition processing of the radar life detection instrument electromagnetic wave emission band is carried out, and the corresponding rescue detection electromagnetic wave emission band decomposition frequency data set, , wherein represents the rescue detection electromagnetic wave emission band decomposition frequency data set , wherein represents the rescue detection electromagnetic wave emission band decomposition frequency data, represents the rescue detection electromagnetic wave emission band decomposition frequency data set , wherein The rescue detection electromagnetic wave emission band decomposition frequency data, wherein The rescue detection electromagnetic wave emission band decomposition frequency data represents the specific radar life detector electromagnetic wave emission frequency parameter in the target rescue detection electromagnetic wave emission band object identification data

[0010] Preferably, the operation steps of real-time rescue detection feedback image collection and processing of the life detector different electromagnetic wave emission frequency according to the rescue detection electromagnetic wave emission band decomposition frequency data and generating rescue detection electromagnetic wave emission band decomposition frequency detection image data are as follows: S51, the radar life detector executes real-time rescue detection operation on the rescue detection test area according to the rescue detection electromagnetic wave emission band decomposition frequency data set matrix The rescue detection test area represents the rescue scene environment based on the known life characteristics for radar life detector electromagnetic wave emission frequency operation parameter screening; the screenshot software includes any one of Snipaste, Screenpresso, and FastStone Capture. The rescue detection test area represents the rescue scene environment based on the known life characteristics for radar life detector electromagnetic wave emission frequency operation parameter screening; the screenshot software includes any one of Snipaste, Screenpresso, and FastStone Capture. ​​​​​​​​​​​​​​​​Preferably, the steps for analyzing and processing the real-time rescue detection results of the life detector at different electromagnetic wave emission frequencies are performed based on the rescue detection electromagnetic wave emission band decomposition frequency detection image data and the life detector rescue detection life feature image data, and constructing the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data are as follows: S61. Establishing a life detector rescue detection image data set with life characteristics , ;in Indicates the A life detector rescue detection image data of life characteristics, Indicates the maximum number of life feature images detected by the life detector rescue instrument; the life feature image data detected by the life detector rescue instrument represents the standard radar life detector rescue detection feedback image information corresponding to the life features in the rescue detection environment; S62, decomposing the rescue detection electromagnetic wave emission band into a frequency detection image data set matrix The internal rescue detection electromagnetic wave emission band decomposition frequency detection image data set The rescue detection electromagnetic wave emission band decomposition frequency detection image data to A life feature image data set detected by the life detector The life detector rescue detection has life feature image data Perform image feature matching and construct a rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix based on the image feature matching results ; Execute the generation of the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix The specific steps are as follows: S621, initializing parameters and updating the maximum number of iterations T of the algorithm; S622, initializing the rescue detection and analysis of the seagull population position, that is, the rescue detection and analysis of the seagull population updates the life feature image data set detected by the life detector rescue instrument Position in the search space; S623, calculating the life feature image data set detected by the life detector rescue device according to image feature matching All the life detector rescue detection existence life feature image data The electromagnetic wave emission band decomposition frequency detection image data of the rescue detection to The fitness value is retained in the life detector rescue detection of the life feature image data set search space with the rescue probe electromagnetic wave emission band decomposition frequency probe image data to the global optimal position of the life detector rescue probe life existence feature image data with the maximum fitness value; S624, migration, global search: rescue probe analysis of the migration behavior of the seabird has three steps, the first to meet the life detector rescue probe life existence feature image data set search space rescue probe analysis of the conditions for avoiding collision between seabird individuals; second, according to the image feature matching calculation in the life detector rescue probe life existence feature image data set search space with the rescue probe electromagnetic wave emission band decomposition frequency probe image data to the best position direction of the life detector rescue probe life existence feature image data matched; the third is according to the rescue probe electromagnetic wave emission band decomposition frequency probe image data to the best matching life detector rescue probe life existence feature image data in the best position direction of the new position; S6241, rescue probe analysis of the seabird in the life detector rescue probe life existence feature image data set search space in the new position without collision with adjacent rescue probe analysis of seabirds in the process of movement ; , ; wherein rescue probe analysis of the seabird in the life detector rescue probe life existence feature image data set search space in the current position, indicates the current iteration number; rescue probe analysis of the seabird in the life detector rescue probe life existence feature image data set search space in the movement behavior; indicates the function of controlling the change frequency, indicates the maximum iteration number; S6242, according to the image feature matching calculation in the life detector rescue probe life existence feature image data set search space with the rescue probe electromagnetic wave emission band decomposition frequency probe image data to the life detector rescue probe life existence feature image data the best position direction ; , wherein the life detector rescue probe living feature image data set is searched in the search space according to image feature matching search with the rescue probe electromagnetic wave emission band decomposition frequency detection image data to the life detector rescue probe living feature image data of the current best position, the rescue probe analysis seabird in the life detector rescue probe living feature image data set searches the current position in the search space; a random number that balances global and local search capabilities, a random number that takes values in the interval [0,1]; S6243, according to the rescue probe electromagnetic wave emission band decomposition frequency detection image data to the best matching life detector rescue probe living feature image data in the best position direction moves to a new position , that is, according to the best position direction, the life detector rescue probe living feature image data set is searched in the search space according to image feature matching search with the rescue probe electromagnetic wave emission band decomposition frequency detection image data to the life detector rescue probe living feature image data of the new position; S625, attack prey, local search, rescue probe analysis seabird in the life detector rescue probe living feature image data set searches the prey in the search space while spiraling in the air, rescue probe analysis seabird after attacking the prey , that is, rescue probe analysis seabird in the life detector rescue probe living feature image data set is searched in the search space according to image feature matching search with the rescue probe electromagnetic wave emission band decomposition frequency detection image data to the life detector rescue probe living feature image data of the prey; S626: Determine whether the maximum number of iterations is met, and then output the image data corresponding to the decomposition frequency of the rescue detection electromagnetic wave emission band. to The life detector rescue detection matching the life feature image data ; If not satisfied, return to step S623; S627, according to the rescue detection electromagnetic wave emission band decomposition frequency detection image data output in step S626 to The life detector rescue detection has life feature image data Perform image feature matching to construct the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix ,in Represents the rescue detection electromagnetic wave emission band decomposition frequency detection image data set The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set, ,in Represents the rescue detection electromagnetic wave emission band decomposition frequency detection image data The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data, Represents the rescue detection electromagnetic wave emission band decomposition frequency detection image data Corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data; when or and The image feature matching is successful, indicating that the rescue detection electromagnetic wave emission band decomposition frequency data Or the rescue detection electromagnetic wave emission band decomposition frequency data The corresponding electromagnetic wave emission frequency is suitable for this radar life detector rescue detection operation, and the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data is output or To be applicable; when or and The image feature matching is unsuccessful, indicating that the rescue detection electromagnetic wave emission band decomposition frequency data Or the rescue detection electromagnetic wave emission band decomposition frequency data If the corresponding electromagnetic wave emission frequency is not suitable for this radar life detector rescue detection operation, the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data will be output. or Not applicable.

[0011] Preferably, the operation steps of generating the optimal rescue detection electromagnetic wave emission frequency data of the life detector according to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and the rescue detection electromagnetic wave emission band decomposition frequency data are as follows: S71, using a unified cost search algorithm to search the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data in the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix in the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set corresponding to the rescue detection electromagnetic wave emission band decomposition frequency number information, and searching the rescue detection electromagnetic wave emission band decomposition frequency data corresponding to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data in the rescue detection electromagnetic wave emission band decomposition frequency data set matrix inside the rescue detection electromagnetic wave emission band decomposition frequency data set corresponding to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data, and generating the optimal rescue detection electromagnetic wave emission frequency data of the life detector through data identification , ; wherein represents the optimal rescue detection electromagnetic wave emission frequency data of the life detector, represents the maximum value of the optimal rescue detection electromagnetic wave emission frequency number of the life detector, represents the maximum value of the optimal rescue detection electromagnetic wave emission frequency number of the life detector, unit: gigahertz.

[0012] The life detector operation parameter intelligent analysis system based on image recognition is used to realize the life detector operation parameter intelligent analysis method based on image recognition. The system includes a life detector rescue scene analysis module, a life detector electromagnetic wave emission frequency analysis module, and a life detector electromagnetic wave emission frequency screening module. The life detector rescue scene analysis module includes a rescue site environment image acquisition unit, a different rescue scene type image storage unit, and a target rescue scene type identification unit. The rescue scene environment image acquisition unit collects rescue environment image data through a cloud lens; the different rescue scene type image storage unit is configured to store different rescue scene type image data; the target rescue scene type identification unit performs rescue scene type identification processing of a life detection instrument rescue detection based on the rescue environment image data and the different rescue scene type image data, and generates target rescue scene type identification data; The life detection instrument electromagnetic wave emission frequency analysis module includes a different rescue scene rescue detection electromagnetic wave emission waveband storage unit, a target rescue detection electromagnetic wave emission waveband identification unit, a rescue detection electromagnetic wave emission waveband frequency discrete decomposition value storage unit, and a rescue detection electromagnetic wave emission waveband decomposition frequency construction unit. The different rescue scene rescue detection electromagnetic wave emission waveband storage unit is configured to store different rescue scene rescue detection electromagnetic wave emission waveband data; the target rescue detection electromagnetic wave emission waveband identification unit performs electromagnetic wave emission waveband object identification processing required for life detection instrument rescue detection operations based on the target rescue scene type identification data and the different rescue scene rescue detection electromagnetic wave emission waveband data, and generates target rescue detection electromagnetic wave emission waveband object identification data; the rescue detection electromagnetic wave emission waveband frequency discrete decomposition value storage unit is configured to store rescue detection electromagnetic wave emission waveband frequency discrete decomposition value data; and the rescue detection electromagnetic wave emission waveband decomposition frequency construction unit performs frequency interval decomposition processing of a life detection instrument electromagnetic wave emission waveband based on the target rescue detection electromagnetic wave emission waveband object identification data and the rescue detection electromagnetic wave emission waveband frequency discrete decomposition value data, and constructs rescue detection electromagnetic wave emission waveband decomposition frequency data. The life detection instrument electromagnetic wave emission frequency screening module includes a rescue detection electromagnetic wave emission waveband decomposition frequency detection image acquisition unit, a life detection instrument rescue detection life feature existing image storage unit, a rescue detection electromagnetic wave emission waveband decomposition frequency detection result analysis unit, and a life detection instrument optimal rescue detection electromagnetic wave emission frequency searching unit. The rescue detection electromagnetic wave emission band decomposition frequency detection image acquisition unit acquires and processes real-time rescue detection feedback images of the life detection instrument at different electromagnetic wave emission frequencies based on the rescue detection electromagnetic wave emission band decomposition frequency data and a screenshot software, and generates rescue detection electromagnetic wave emission band decomposition frequency detection image data; the life detection instrument rescue detection life characteristic image storage unit is used for storing life detection instrument rescue detection life characteristic image data; the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis unit analyzes the real-time rescue detection results of the life detection instrument at different electromagnetic wave emission frequencies based on the rescue detection electromagnetic wave emission band decomposition frequency detection image data and the life detection instrument rescue detection life characteristic image data, and constructs rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data; and the life detection instrument optimal rescue detection electromagnetic wave emission frequency searching unit screens the optimal electromagnetic wave emission frequency object of the life detection instrument rescue detection operation based on the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and the rescue detection electromagnetic wave emission band decomposition frequency data, and generates life detection instrument optimal rescue detection electromagnetic wave emission frequency data.

[0013] (Three) beneficial effects The application provides an image recognition-based life detection instrument operation parameter intelligent analysis system and method, which has the following beneficial effects: I. The cloud lens is used to accurately collect rescue environment image information online, thereby providing reliable data support for subsequent accurate identification of rescue environment scene types; different rescue scene type image parameters are stored based on big data, and an intelligent search algorithm and rescue environment image parameters are used for dynamic and efficient identification of radar life detection instrument rescue detection scene types, so that efficient and scientific analysis of radar life detection instrument rescue detection environment scenes is realized, and the efficiency and accuracy of radar life detection instrument rescue detection are improved.

[0014] II. The standard sets different rescue scene rescue detection electromagnetic wave emission band data, and an intelligent search algorithm and target rescue scene type identification data are used for scientific matching of radar life detection instrument rescue detection electromagnetic wave emission bands, so that the radar life detection instrument rescue detection electromagnetic wave emission band can be accurately selected; according to the target rescue detection electromagnetic wave emission band object identification parameter and the rescue detection electromagnetic wave emission band frequency discrete decomposition value parameter, the frequency decomposition processing of the radar life detection instrument electromagnetic wave emission band is accurately and independently carried out through numerical processing, so that the radar life detection instrument electromagnetic wave emission band is dynamically and multi-dimensionally decomposed into discrete electromagnetic wave emission frequencies, and the precision and application range of the radar life detection instrument rescue detection are improved.

[0015] III. Through the radar life detector, the rescue detection electromagnetic wave emission frequency band decomposition frequency data is combined with the screenshot software to realize the online dynamic collection of the rescue detection electromagnetic wave emission frequency corresponding to the real-time rescue detection feedback image, realize the efficient and accurate acquisition of the rescue detection electromagnetic wave emission frequency band decomposition frequency detection image of the radar rescue detection, scientifically preset the life detection instrument rescue detection life characteristic image data combined with the intelligent recognition algorithm and the rescue detection electromagnetic wave emission band decomposition frequency detection image parameter to realize the intelligent analysis of the rescue detection result of the radar life detection instrument electromagnetic wave emission decomposition frequency, realize the accurate detection of the rescue detection effect of the radar life detection instrument electromagnetic wave emission frequency, improve the efficiency and accuracy of the operation parameter matching of the radar life detection instrument; According to the rescue detection electromagnetic wave emission frequency band decomposition frequency detection result analysis parameter, the intelligent search algorithm is combined with the rescue detection electromagnetic wave emission frequency band decomposition frequency parameter to realize the intelligent screening of the optimal electromagnetic wave emission frequency of the radar life detection instrument rescue detection operation, realize the intelligent screening of the optimal operation parameter of the radar life detection instrument, and improve the quality and efficiency of the rescue detection of the radar life detection instrument. BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 The module schematic diagram of the life detector operation parameter intelligent analysis system based on image recognition provided by the present application is shown in the figure. Figure 2 The flow chart of the life detector operation parameter intelligent analysis method based on image recognition provided by the present application is shown in the figure. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0018] The implementation of the life detector operation parameter intelligent analysis system and method based on image recognition is as follows: EMBODIMENT

[0019] Please refer to Figure 1 - Figure 2 The life detector operation parameter intelligent analysis method based on image recognition, the method comprises the following steps: S1, collect rescue environment image data; S2, according to the rescue environment image data and the different rescue scene type image data, the rescue scene type identification processing of the life detector rescue detection is generated, and the target rescue scene type identification data is generated; S3, based on target rescue scene type identification data and different rescue scene rescue detection electromagnetic wave emission band data, the electromagnetic wave emission band object identification processing required by the life detection instrument rescue detection operation is generated, and the target rescue detection electromagnetic wave emission band object identification data is generated; S4, according to the target rescue detection electromagnetic wave emission band object identification data and the rescue detection electromagnetic wave emission band frequency discrete decomposition value data, the frequency interval decomposition processing of the life detection instrument electromagnetic wave emission band is carried out, and the rescue detection electromagnetic wave emission band decomposition frequency data is constructed; S5, according to the rescue detection electromagnetic wave emission band decomposition frequency data, the real-time rescue detection feedback image collection processing of the life detection instrument different electromagnetic wave emission frequency is carried out, and the rescue detection electromagnetic wave emission band decomposition frequency detection image data is generated; S6, based on the rescue detection electromagnetic wave emission band decomposition frequency detection image data and the life detection instrument rescue detection existing life characteristic image data, the real-time rescue detection result analysis processing of the life detection instrument different electromagnetic wave emission frequency is carried out, and the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data is constructed; S7, according to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and the rescue detection electromagnetic wave emission band decomposition frequency data, the life detection instrument rescue detection operation optimal electromagnetic wave emission frequency object screening processing is carried out, and the life detection instrument optimal rescue detection electromagnetic wave emission frequency data is generated.

[0020] Further, please refer to Figure 1 - Figure 2 , the operation steps of collecting rescue environment image data are as follows: S11, through the cloud lens online collection radar life detection instrument executes rescue scene environment image information of rescue operation, and generates rescue environment image data set , ; wherein represents the collected rescue environment image data, represents the maximum value of the number of rescue environment images.

[0021] According to the rescue environment image data and the different rescue scene type image data, the rescue scene type identification processing of the life detection instrument rescue detection is carried out, and the operation steps of generating the target rescue scene type identification data are as follows: S21, establish different rescue scene type image data set , ; wherein represents the different rescue scene type image data corresponding to the rescue scene type, Indicates the maximum number of rescue scene types; rescue scene types include ruin rescue scene types, collapse accident rescue scene types, and underwater rescue scene types; different rescue scene type image data represent the standard scene environment image information corresponding to different types of rescue scenes; S22, using iterative deepening search algorithm to collect rescue environment image data Rescue environment image data Image datasets of different rescue scene types Image data of different rescue scene types Perform image feature matching to search for image data related to the rescue environment Matching image data of different rescue scene types The corresponding rescue scene type text information, and generate the target rescue scene type identification data through data identification .

[0022] Through the rescue scene environment image acquisition unit, cloud lenses are used to accurately collect rescue environment image information online, providing reliable data support for the subsequent accurate identification of rescue environment scene types; different rescue scene type image storage units and target rescue scene type identification units cooperate with each other, based on big data storage of different rescue scene type image parameters combined with intelligent search algorithms and rescue environment image parameters to perform dynamic and efficient identification of radar life detector rescue detection scene types, realize efficient and scientific analysis of radar life detector rescue detection environment scenes, and improve the efficiency and accuracy of radar life detector rescue detection.

[0023] For further information, see Figure 1 - Figure 2 Based on the target rescue scene type identification data and the rescue detection electromagnetic wave emission band data of different rescue scenes, the electromagnetic wave emission band object recognition processing required for the life detector rescue detection operation is performed. The operation steps for generating the target rescue detection electromagnetic wave emission band object recognition data are as follows: S31. Establish a data set of electromagnetic wave emission bands for rescue detection in different rescue scenarios ,in Indicates the Different rescue scene detection electromagnetic wave emission band data corresponding to different rescue scene types, ,in and Respectively represent the electromagnetic wave emission band data of rescue detection in different rescue scenarios The minimum electromagnetic wave emission frequency data for rescue detection in different rescue scenarios and the maximum electromagnetic wave emission frequency data for rescue detection in different rescue scenarios; and The units are all gigahertz; the electromagnetic wave emission band data for rescue detection in different rescue scenarios represent the electromagnetic wave emission frequency interval parameters of the standard radar life detector set for different types of rescue scenarios; S32, using a unified cost search algorithm to identify the target rescue scene type data Data collection of electromagnetic wave emission bands for rescue detection in different rescue scenarios Rescue detection electromagnetic wave emission band data in different rescue scenarios Perform rescue scene type character matching to search for target rescue scene type identification data Corresponding rescue detection electromagnetic wave emission band data for different rescue scenarios , and construct the target rescue detection electromagnetic wave emission band object recognition data ,in , and Respectively represent the target rescue detection electromagnetic wave emission band object recognition data Minimum electromagnetic wave emission frequency data for target rescue detection and maximum electromagnetic wave emission frequency data for target rescue detection; and The units are all gigahertz; the target rescue detection electromagnetic wave emission band object identification data represents the optimal electromagnetic wave emission frequency interval parameters for the rescue detection operation of the radar life detector based on the rescue site environment type identification.

[0024] The steps for decomposing the frequency interval of the electromagnetic wave emission band of the life detector based on the target rescue detection electromagnetic wave emission band object identification data and the rescue detection electromagnetic wave emission band frequency discrete decomposition value data to construct the rescue detection electromagnetic wave emission band decomposition frequency data are as follows: S41. Establishing a discrete decomposition value data set of the frequency of the electromagnetic wave emission band for rescue detection , ;in Indicates the The discrete decomposition value data of the frequency band of the rescue detection electromagnetic wave emission, Indicates the maximum value of the number of discrete decomposition values ​​of the rescue detection electromagnetic wave emission band frequency; the data of the discrete decomposition value of the rescue detection electromagnetic wave emission band frequency represents the frequency interval value of decomposing the electromagnetic wave emission band of the radar life detector rescue detection into discrete single electromagnetic wave emission frequencies. The unit of is gigahertz; S42, the target rescue detection electromagnetic wave emission band object identification data The corresponding electromagnetic wave emission band is from the target rescue detection minimum electromagnetic wave emission frequency data Start and rescue detection of electromagnetic wave emission band frequency discrete decomposition value data set The rescue detection electromagnetic wave transmission band frequency discrete decomposition value data According to the rescue detection electromagnetic wave transmission band frequency discrete decomposition value number, the radar life detection instrument electromagnetic wave transmission frequency value and decomposition processing of the radar life detection instrument electromagnetic wave transmission band is carried out respectively, until the current electromagnetic wave transmission frequency of decomposition is not less than the target rescue detection maximum electromagnetic wave transmission frequency data , and the rescue detection electromagnetic wave transmission band decomposition frequency data set matrix is constructed , wherein represents the target rescue detection electromagnetic wave transmission band object identification data According to the rescue detection electromagnetic wave transmission band frequency discrete decomposition value data Starting from the target rescue detection minimum electromagnetic wave transmission frequency data , the rescue detection electromagnetic wave transmission band decomposition frequency data set corresponding to the electromagnetic wave transmission frequency decomposition processing of the radar life detection instrument electromagnetic wave transmission band is carried out , wherein represents the rescue detection electromagnetic wave transmission band decomposition frequency data set The rescue detection electromagnetic wave transmission band decomposition frequency data , wherein represents the rescue detection electromagnetic wave transmission band decomposition frequency data set The rescue detection electromagnetic wave transmission band decomposition frequency data , wherein = , = ; and The unit of rescue detection electromagnetic wave transmission band decomposition frequency data is gigahertz, and the rescue detection electromagnetic wave transmission band decomposition frequency data represents the specific radar life detection instrument electromagnetic wave transmission frequency parameter in the target rescue detection electromagnetic wave transmission band object identification data .

[0025] The rescue detection electromagnetic wave emission band storage unit and the target rescue detection electromagnetic wave emission band identification unit cooperate with each other, the standard sets different rescue scene rescue detection electromagnetic wave emission band data, combines intelligent search algorithm and target rescue scene type identification data, and scientifically matches the rescue detection electromagnetic wave emission band of the radar life detection instrument, so that the rescue detection electromagnetic wave emission band of the radar life detection instrument is accurately selected adaptively; the rescue detection electromagnetic wave emission band decomposition frequency construction unit accurately performs frequency decomposition processing of the radar life detection instrument electromagnetic wave emission band according to the target rescue detection electromagnetic wave emission band object identification parameter and the rescue detection electromagnetic wave emission band frequency discrete decomposition value parameter combined with numerical processing, realizes multi-dimensional dynamic decomposition of the radar life detection instrument electromagnetic wave emission band into discrete electromagnetic wave emission frequency, and improves the precision and application range of the radar life detection instrument rescue detection.

[0026] Further, please refer to Figure 1 Figure 2 According to the rescue detection electromagnetic wave emission band decomposition frequency data, the operation steps of real-time rescue detection feedback image acquisition and processing of different electromagnetic wave emission frequencies of the life detection instrument are as follows: S51, the radar life detection instrument acquires rescue detection electromagnetic wave emission band decomposition frequency data set matrix inside the rescue detection electromagnetic wave emission band decomposition frequency data set rescue detection electromagnetic wave emission band decomposition frequency data to The rescue detection test area is executed in real time, the rescue detection feedback image information of the rescue detection result output display screen of the radar life detection instrument is synchronously collected by using the screenshot software, and the rescue detection electromagnetic wave emission band decomposition frequency detection image data set matrix , wherein represents the rescue detection electromagnetic wave emission band decomposition frequency data set corresponding to the rescue detection electromagnetic wave emission band decomposition frequency detection image data set, , wherein represents the rescue detection electromagnetic wave emission band decomposition frequency data corresponding to the rescue detection electromagnetic wave emission band decomposition frequency detection image data, represents the rescue detection electromagnetic wave emission band decomposition frequency data ​The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection image data, the rescue detection test area represents the rescue site environment based on the known existence of life characteristics to select the radar life detector electromagnetic wave emission frequency operating parameter; The screenshot software includes any one of Snipaste, Screenpresso and FastStoneCapture. Based on the rescue detection electromagnetic wave emission band decomposition frequency detection image data and the life detection instrument rescue detection life characteristic image data, the real-time rescue detection result analysis processing of different electromagnetic wave emission frequencies of the life detection instrument is carried out, and the operation steps of the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data are as follows: S61, establish the life detection instrument rescue detection life characteristic image data set , ; Wherein represents the th life detection instrument rescue detection life characteristic image data, represents the maximum value of the number of life detection instrument rescue detection life characteristic image data; The life detection instrument rescue detection life characteristic image data represents the standard radar life detection instrument rescue detection feedback image information corresponding to the life characteristic in the rescue detection environment; S62, the rescue detection electromagnetic wave emission band decomposition frequency detection image data set matrix inside the rescue detection electromagnetic wave emission band decomposition frequency detection image data set The rescue detection electromagnetic wave emission band decomposition frequency detection image data to The life detection instrument rescue detection life characteristic image data set The life detection instrument rescue detection life characteristic image data Image feature matching is carried out, and the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix is constructed according to the image feature matching result; The specific operation steps of generating the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix are as follows: S621, initialize parameters and update the maximum iteration number T of the algorithm; S622, initialize the rescue detection analysis seabird population position, that is, the rescue detection analysis seabird population is updated in the life detection instrument rescue detection life characteristic image data set Search space position; S623, calculate the life detection instrument rescue detection life characteristic image data set All the life detector rescue detection presence of life characteristic image data With rescue detection electromagnetic wave emission band decomposition frequency detection image data To The fitness value of the adaptive value, and is retained in the life detector rescue detection presence of life characteristic image data set Search space with rescue detection electromagnetic wave emission band decomposition frequency detection image data To The life detector rescue detection presence of life characteristic image data with the largest fitness value Global optimal position; S624, migration, global search: rescue detection analysis of the migration behavior of the Arctic tern has three steps, the first to meet the life detector rescue detection presence of life characteristic image data set Search space rescue detection analysis of the Arctic tern between individuals to avoid collision conditions; second, according to the image feature matching calculation in life detector rescue detection presence of life characteristic image data set Search space with rescue detection electromagnetic wave emission band decomposition frequency detection image data To The best position of the life detector rescue detection presence of life characteristic image data matched Direction; third, according to the rescue detection electromagnetic wave emission band decomposition frequency detection image data To The best matching life detector rescue detection presence of life characteristic image data The best position of the direction of movement to a new position; S6241, rescue detection analysis of the Arctic tern in life detector rescue detection presence of life characteristic image data set Search space in the motion process without collision with adjacent rescue detection analysis of the Arctic tern new position ; , ; wherein Rescue detection analysis of the Arctic tern in life detector rescue detection presence of life characteristic image data set Search space in the current position, Indicates the current iteration number; Rescue detection analysis of the Arctic tern in life detector rescue detection presence of life characteristic image data set Search space in the motion behavior; Indicates the function of controlling Change frequency, Indicates the maximum iteration number; S6242, according to the image feature matching calculation in life detector rescue detection presence of life characteristic image data set search space to rescue probe electromagnetic wave emission band resolution frequency probe image data to best match life detector rescue probe life signature image data at the current best position ; , wherein rescue probe analysis albatross at the current position in the search space search space to rescue probe electromagnetic wave emission band resolution frequency probe image data to best match life detector rescue probe life signature image data at the current best position rescue probe analysis albatross at the current position in the search space search space to rescue probe electromagnetic wave emission band resolution frequency probe image data random number balancing global and local search capabilities random number with value in the interval [0,1] S6243, according to the best match life detector rescue probe life signature image data to at the best position move to a new position , i.e. according to the best position in the search space to rescue probe electromagnetic wave emission band resolution frequency probe image data search space to rescue probe electromagnetic wave emission band resolution frequency probe image data to best match life detector rescue probe life signature image data at the new position S625, attack prey, local search, rescue probe analysis albatross at the current position in the search space to rescue probe life detector life signature image data spiral motion in the air when attacking prey, rescue probe analysis albatross at the new position after attacking prey , i.e. rescue probe analysis albatross at the current position in the search space to rescue probe life detector life signature image data search space to rescue probe electromagnetic wave emission band resolution frequency probe image data to The matched life detector rescue detection exists life characteristic image data of the prey; S626, judge whether the maximum iteration number is met, and output rescue detection electromagnetic wave emission band decomposition frequency detection image data to The matched life detector rescue detection exists life characteristic image data ; if not, return to step S623; S627, according to the rescue detection electromagnetic wave emission band decomposition frequency detection image data output in step S626 to The matched life detector rescue detection exists life characteristic image data Image feature matching result construction rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix , wherein rescue detection electromagnetic wave emission band decomposition frequency detection image data set corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set, , wherein rescue detection electromagnetic wave emission band decomposition frequency detection image data corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data, rescue detection electromagnetic wave emission band decomposition frequency detection image data corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data; When or With Image feature matching is successful, indicating that rescue detection electromagnetic wave emission band decomposition frequency data or rescue detection electromagnetic wave emission band decomposition frequency data The corresponding electromagnetic wave emission frequency is applicable to this radar life detector rescue detection operation, and the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data is output or is applicable; When or With Image feature matching is not successful, indicating that rescue detection electromagnetic wave emission band decomposition frequency data or rescue detection electromagnetic wave emission band decomposition frequency data The corresponding electromagnetic wave emission frequency is not applicable to this radar life detector rescue detection operation, and the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data is output or Not applicable.

[0027] According to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and the rescue detection electromagnetic wave emission band decomposition frequency data, the operation steps of the life detection instrument rescue detection operation optimal electromagnetic wave emission frequency object screening processing are as follows: S71, using a unified cost search algorithm according to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis key words in the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix Rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set Search out the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data corresponding to the applicable rescue detection electromagnetic wave emission band decomposition frequency number information, and search out the rescue detection electromagnetic wave emission band decomposition frequency number information in the rescue detection electromagnetic wave emission band decomposition frequency data set matrix Internal rescue detection electromagnetic wave emission band decomposition frequency data set Search out all rescue detection electromagnetic wave emission band decomposition frequency data corresponding to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data, and generate life detection instrument optimal rescue detection electromagnetic wave emission frequency data through data identification , ; wherein represents the th life detection instrument optimal rescue detection electromagnetic wave emission frequency data, represents the maximum value of the number of life detection instrument optimal rescue detection electromagnetic wave emission frequency, The unit is gigahertz.

[0028] The rescue detection electromagnetic wave emission band decomposition frequency detection image acquisition unit, the radar life detection instrument, according to the rescue detection electromagnetic wave emission band decomposition frequency data, combines the screenshot software to carry out the online dynamic collection of the real-time rescue detection feedback image corresponding to the electromagnetic wave emission frequency, realizes the efficient and accurate acquisition of the radar rescue detection electromagnetic wave emission band decomposition frequency detection image; the rescue detection existing life characteristic image storage unit and the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis unit of the life detection instrument are matched with each other, the rescue detection result intelligent analysis of the radar life detection instrument electromagnetic wave emission decomposition frequency is carried out by scientifically presetting the life detection instrument rescue detection existing life characteristic image data, combining the intelligent recognition algorithm and the rescue detection electromagnetic wave emission band decomposition frequency detection image parameter, realizing the accurate detection of the rescue detection effect of the radar life detection instrument electromagnetic wave emission frequency, and improving the efficiency and accuracy of the operation parameter matching of the radar life detection instrument; the optimal rescue detection electromagnetic wave emission frequency search unit of the life detection instrument, according to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis parameter, combining the intelligent search algorithm and the rescue detection electromagnetic wave emission band decomposition frequency parameter, carries out the intelligent screening of the optimal electromagnetic wave emission frequency of the radar life detection instrument rescue detection operation, realizes the intelligent screening of the optimal operation working parameter of the radar life detection instrument, and improves the quality and efficiency of the rescue detection of the radar life detection instrument. Embodiments

[0029] Please refer to Figure 1 - Figure 2 , the image recognition-based life detection instrument operation parameter intelligent analysis system is used for realizing the image recognition-based life detection instrument operation parameter intelligent analysis method, and the system comprises a life detection instrument rescue scene analysis module, a life detection instrument electromagnetic wave emission frequency analysis module and a life detection instrument electromagnetic wave emission frequency screening module. The life detection instrument rescue scene analysis module comprises a rescue site environment image acquisition unit, a different rescue scene type image storage unit and a target rescue scene type identification unit. The rescue site environment image acquisition unit collects rescue environment image data through a cloud lens; the different rescue scene type image storage unit is used for storing different rescue scene type image data; and the target rescue scene type identification unit identifies the rescue scene type of the life detection instrument rescue detection according to the rescue environment image data and the different rescue scene type image data, and generates target rescue scene type identification data. The life detection instrument electromagnetic wave emission frequency analysis module comprises a different rescue scene rescue detection electromagnetic wave emission band storage unit, a target rescue detection electromagnetic wave emission band identification unit, a rescue detection electromagnetic wave emission band frequency discrete decomposition value storage unit and a rescue detection electromagnetic wave emission band decomposition frequency construction unit. The rescue detection electromagnetic wave emission band storage unit is configured to store different rescue scene rescue detection electromagnetic wave emission band data; the target rescue detection electromagnetic wave emission band identification unit is configured to perform electromagnetic wave emission band object identification processing required for the life detector rescue detection operation based on target rescue scene type identification data and the different rescue scene rescue detection electromagnetic wave emission band data, and generate target rescue detection electromagnetic wave emission band object identification data; the rescue detection electromagnetic wave emission band frequency discrete decomposition value storage unit is configured to store rescue detection electromagnetic wave emission band frequency discrete decomposition value data; and the rescue detection electromagnetic wave emission band decomposition frequency construction unit is configured to perform frequency interval decomposition processing of the life detector electromagnetic wave emission band based on the target rescue detection electromagnetic wave emission band object identification data and the rescue detection electromagnetic wave emission band frequency discrete decomposition value data, and construct rescue detection electromagnetic wave emission band decomposition frequency data. The life detector electromagnetic wave emission frequency screening module includes a rescue detection electromagnetic wave emission band decomposition frequency detection image acquisition unit, a life detector rescue detection life feature image storage unit, a rescue detection electromagnetic wave emission band decomposition frequency detection result analysis unit, and a life detector optimal rescue detection electromagnetic wave emission frequency searching unit. The rescue detection electromagnetic wave emission band decomposition frequency detection image acquisition unit is configured to perform real-time rescue detection feedback image acquisition processing of different electromagnetic wave emission frequencies of the life detector based on rescue detection electromagnetic wave emission band decomposition frequency data in combination with screenshot software, and generate rescue detection electromagnetic wave emission band decomposition frequency detection image data; the life detector rescue detection life feature image storage unit is configured to store life detector rescue detection life feature image data; the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis unit is configured to perform real-time rescue detection result analysis processing of different electromagnetic wave emission frequencies of the life detector based on rescue detection electromagnetic wave emission band decomposition frequency detection image data and life detector rescue detection life feature image data, and construct rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data; and the life detector optimal rescue detection electromagnetic wave emission frequency searching unit is configured to perform optimal electromagnetic wave emission frequency object screening processing of the life detector rescue detection operation based on rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and rescue detection electromagnetic wave emission band decomposition frequency data, and generate life detector optimal rescue detection electromagnetic wave emission frequency data.

[0030] Although the embodiments of the present application have been shown and described, it is to be understood that various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An intelligent analysis method for operating parameters of a life detector based on image recognition, characterized in that: The method comprises the following steps: S1, collecting rescue environment image data; S2, performing rescue scene type recognition processing of the life detector rescue detection based on the rescue environment image data and the image data of different rescue scene types to generate target rescue scene type recognition data; S3, performing electromagnetic wave emission band object recognition processing required for the life detector rescue detection operation based on the target rescue scene type recognition data and the rescue detection electromagnetic wave emission band data of different rescue scenes, and generating target rescue detection electromagnetic wave emission band object recognition data; S4, performing frequency interval decomposition processing on the electromagnetic wave emission band of the life detector according to the target rescue detection electromagnetic wave emission band object identification data and the rescue detection electromagnetic wave emission band frequency discrete decomposition value data, and constructing rescue detection electromagnetic wave emission band decomposition frequency data; S5. performing real-time rescue detection feedback image acquisition and processing of different electromagnetic wave emission frequencies of the life detector based on the rescue detection electromagnetic wave emission band decomposition frequency data, and generating rescue detection electromagnetic wave emission band decomposition frequency detection image data; S6. Analyze and process the real-time rescue detection results of the life detector at different electromagnetic wave emission frequencies based on the rescue detection electromagnetic wave emission band decomposition frequency detection image data and the life detector rescue detection life feature image data, and construct rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data; S7. Perform screening processing on the optimal electromagnetic wave emission frequency object for rescue detection operation of the life detector based on the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data and the rescue detection electromagnetic wave emission band decomposition frequency data, and generate the optimal rescue detection electromagnetic wave emission frequency data of the life detector.

2. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 1, characterized in that: Said S1 comprises the following steps: S11. Collect rescue scene environment image information of the radar life detector performing rescue operations online through the cloud lens, and generate a rescue environment image data set , ;in Indicates the collected rescue environment image data, Indicates the maximum number of rescue environment images.

3. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 2, characterized in that: The S2 comprises the following steps: S21. Establish image data sets of different rescue scene types , ;in Indicates the Different rescue scene type image data corresponding to different rescue scene types, Indicates the maximum number of rescue scenario types; S22, using iterative deepening search algorithm to As stated in With the As stated in Perform image feature matching and search for the Matching the The corresponding rescue scene type text information, and generate the target rescue scene type identification data through data identification .

4. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 3, characterized in that: The S3 includes the following steps: S31. Establish a data set of electromagnetic wave emission bands for rescue detection in different rescue scenarios ,in Indicates the Different rescue scene detection electromagnetic wave emission band data corresponding to different rescue scene types, ,in and Respectively represent the The minimum electromagnetic wave emission frequency data and the maximum electromagnetic wave emission frequency data of rescue detection in different rescue scenarios are and The unit of is gigahertz; S32, using a unified cost search algorithm to With the As stated in Perform rescue scene type character matching and search for the The corresponding , and construct the target rescue detection electromagnetic wave emission band object recognition data ,in , and Respectively represent the The minimum electromagnetic wave emission frequency data for target rescue detection and the maximum electromagnetic wave emission frequency data for target rescue detection, and All units are in gigahertz.

5. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 4, characterized in that: The S4 comprises the following steps: S41. Establishing a discrete decomposition value data set of the frequency of the electromagnetic wave emission band for rescue detection , ;in Indicates the The discrete decomposition value data of the frequency band of the rescue detection electromagnetic wave emission, Indicates the maximum value of the discrete decomposition value of the rescue detection electromagnetic wave emission band frequency, The unit of is gigahertz; S42, the The corresponding electromagnetic wave emission band is from the Start with the As stated in According to the number of discrete decomposition values ​​of the rescue detection electromagnetic wave emission band frequency, the electromagnetic wave emission frequency values ​​of the radar life detector electromagnetic wave emission band are respectively processed and decomposed until the decomposed current electromagnetic wave emission frequency is not less than the So far, and construct the frequency data set matrix of the rescue detection electromagnetic wave emission band decomposition ,in Indicates the As described Minimum electromagnetic wave emission frequency data detected from the target rescue Start to decompose the electromagnetic wave emission frequency of the radar life detector electromagnetic wave emission band and the corresponding rescue detection electromagnetic wave emission band decomposition frequency data set, ,in Indicates the Middle The frequency data of the electromagnetic wave emission band for rescue detection is decomposed. Indicates the Middle The frequency data of the electromagnetic wave emission band of rescue detection is decomposed into = , = ; and All units are in gigahertz.

6. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 5, characterized in that: The S5 comprises the following steps: S51, radar life detector according to the Internal As stated in to Perform real-time rescue detection operations in the rescue detection test area, and use screenshot software to synchronously collect the rescue detection results of the radar life detector and output the rescue detection feedback image information on the display screen, and generate the rescue detection electromagnetic wave emission band decomposition frequency detection image data set matrix ,in Indicates the The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection image data set, ,in Indicates the The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection image data, Indicates the The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection image data.

7. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 6, characterized in that: The S6 comprises the following steps: S61. Establishing a life detector rescue detection image data set with life characteristics , ;in Indicates the A life detector rescue detection image data of life characteristics, Indicates the maximum number of life feature images detected by the life detector rescue device; S62, the Internal As stated in to With the As stated in Perform image feature matching and construct a rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix based on the image feature matching results ; Execute to generate the The specific steps are as follows: S621, initializing parameters and updating the maximum number of iterations T of the algorithm; S622, initializing the rescue detection and analysis of the seagull population position, that is, the rescue detection and analysis of the seagull population is updated in the Position in the search space; S623, calculate the image feature matching All of the above With the to The fitness value of The search space is the same as the to The one with the largest fitness value The global optimal position of S624, Migration, Global Search: There are three main steps in the rescue detection and analysis of seagull migration behavior. The first step is to meet the requirements of the The search space is different and rescue detection is performed to analyze the conditions for avoiding collision between seagull individuals; secondly, the image feature matching calculation is performed according to the The search space is the same as the to Matching the The best position direction; the third is based on the to The best match Move to the new position in the direction of the best position; S6241, Computational rescue detection analysis of seagulls in the New positions of seagulls that do not collide with adjacent rescue probes during movement in the search space ; S6242, according to the image feature matching calculation in the The search space is the same as the to Matching the The best position direction ; S6243, according to the to The best match Move to the new position in the direction of the best position , that is, according to the direction of the optimal position in the In the search space, the image features are matched to search for the to Matching the new location; S625, attack prey, local search, rescue detection analysis seagulls in the The search space is used to perform spiral movements in the air when attacking prey. The rescue detection analyzes the new position of the seagull after attacking the prey. , namely rescue detection analysis of seagulls in the In the search space, the image features are matched to search for the to Matching the of prey; S626, determine whether the maximum number of iterations is met, and then output the to Matching the ; If not satisfied, return to step S623; S627, according to the output in step S626 to With the Perform image feature matching to construct the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set matrix ,in Indicates the The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data set, ,in Indicates the The corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data, Indicates the Corresponding rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data; when or and If the image feature matching is successful, the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data will be output. or To be applicable; when or and If the image feature matching fails, the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data will be output. or Not applicable.

8. The method for intelligent analysis of operating parameters of a life detector based on image recognition according to claim 7, characterized in that: The S7 comprises the following steps: S71, using a unified cost search algorithm to decompose the frequency detection results according to the rescue detection electromagnetic wave emission band, the key words are described in the As stated in The rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data is searched out as the corresponding rescue detection electromagnetic wave emission band decomposition frequency quantity number information, and the rescue detection electromagnetic wave emission band decomposition frequency quantity number information is searched out in the Internal Search out all the rescue detection electromagnetic wave emission band decomposition frequency data corresponding to the rescue detection electromagnetic wave emission band decomposition frequency detection result analysis data, and generate the optimal rescue detection electromagnetic wave emission frequency data of the life detector through data identification. , ;in Indicates the The optimal rescue detection electromagnetic wave emission frequency data of each life detector, Indicates the maximum value of the number of electromagnetic wave emission frequencies for optimal rescue detection by the life detector, The unit is gigahertz.

9. An intelligent analysis system for operating parameters of a life detector based on image recognition, for implementing the intelligent analysis method for operating parameters of a life detector based on image recognition according to any one of claims 1 to 8, characterized in that: The system comprises a life detector rescue scene analysis module, a life detector electromagnetic wave emission frequency analysis module, and a life detector electromagnetic wave emission frequency screening module.

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