Detector gain automatic configuration method and system and medium

Abstract

The invention provides a detector gain automatic configuration method and system and a medium. The method comprises the following steps: acquiring demand information of a to-be-detected object, extracting characteristic data, processing to obtain a characteristic coefficient of the to-be-detected object, performing gain effect evaluation according to input signal data and standard output signal data to obtain a standard gain efficiency index, performing processing according to environment characteristic data to obtain an environment correction factor, and obtaining the to-be-detected object according to the standard gain efficiency index. Obtaining characteristic data of the detector, performing processing in combination with a characteristic coefficient of an object to be detected to obtain a gain inherent characteristic coefficient, performing processing in combination with a standard gain efficiency index and an environment correction factor to obtain an actual gain efficiency index, and obtaining a user demand gain configuration parameter and a real-time gain configuration parameter of the detector; processing is carried out in combination with an actual gain efficiency index to obtain a gain aging correction index, the gain aging correction index is compared with a threshold value, gain configuration parameters of the detector are adjusted according to a threshold value comparison result, and therefore the technology of automatic configuration of the detector gain is achieved.

Description

Technical Field

[0001] The present application relates to the field of detector gain technology, and in particular to a detector gain automatic configuration method, system and medium. Background Art

[0002] With the continuous development of technology, the application scope of detectors is constantly expanding and deepening. The automatic configuration technology of detector gain is of great significance for improving detector performance, ensuring measurement or imaging quality, and meeting different application requirements.

[0003] At present, the application of automatic detector gain configuration technology in various fields is very important, but how to ensure that the detector always works at its best performance and improve the accuracy and reliability of measurement is still a major problem.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method, system and medium for automatic configuration of detector gain, which can automatically adjust the gain configuration parameters of the detector according to the gain configuration parameters required by the user by obtaining the gain aging correction index. This technology can automatically adjust the gain parameters of the detector according to the actual situation of the detector and user needs to improve the detection efficiency and accuracy, thereby realizing the technology of automatic configuration of detector gain.

[0006] The present application also provides a detector gain automatic configuration method, comprising the following steps:

[0007] Obtain the required information of the object to be detected, extract characteristic data, and process the characteristic data to obtain the characteristic coefficient of the object to be detected;

[0008] Obtain detector input signal data, and evaluate the gain effect according to the corresponding standard output signal data to obtain a standard gain efficiency index;

[0009] Collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area;

[0010] Acquiring characteristic data of the detector, and processing the characteristic data in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector;

[0011] According to the standard gain efficiency index, combined with the environmental correction factor and the gain inherent characteristic coefficient, an actual gain efficiency index of the detector is obtained;

[0012] Obtaining user required gain configuration parameters and real-time gain configuration parameters of the detector;

[0013] According to the user demand gain configuration parameters and the real-time gain configuration parameters, processing is performed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result.

[0014] Optionally, in the detector gain automatic configuration method described in the present application, the step of obtaining the required information of the object to be detected, extracting characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected includes:

[0015] Obtain the required information of the object to be detected through the preset detector monitoring platform database, including physical property information, chemical composition information and electromagnetic characteristic information;

[0016] Processing the demand information through a preset detection object characteristic analysis model to obtain characteristic data of the object to be detected, including roughness data, reflectivity data, absorptivity data and conductivity data;

[0017] Processing the roughness data, reflectivity data, absorptivity data and conductivity data through a preset detection object characteristic recognition model to obtain characteristic coefficients of the object to be detected;

[0018] The calculation formula of the characteristic coefficient of the object to be detected is:

[0019]

[0020] Among them, s d is the characteristic coefficient of the object to be detected, d v 、h j 、p k They are reflectivity data, absorptivity data, and conductivity data, respectively. r is the roughness data, β 1 , β 2 , β 3 , ω are preset characteristic coefficients.

[0021] Optionally, in the detector gain automatic configuration method described in the present application, the acquiring of the detector input signal data and performing gain effect evaluation according to the corresponding standard output signal data to obtain a standard gain efficiency index include:

[0022] Acquire detector input signal data, and acquire corresponding standard output signal data through the original parameter database of the detector according to the input signal data;

[0023] Performing a gain effect evaluation based on the input signal data in combination with the standard output signal data to obtain a standard gain efficiency index;

[0024] The calculation formula of the standard gain efficiency index is:

[0025]

[0026] Among them, z y is the standard gain efficiency index, i t , o c are the input signal data and the standard output signal data, θ, is the preset characteristic coefficient.

[0027] Optionally, in the detector gain automatic configuration method described in the present application, collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain the environmental correction factor of the area includes:

[0028] Collect environmental characteristic data of the area where the detector is located through a preset environmental monitoring platform database, including temperature data, humidity data, light intensity data and atmospheric pressure data;

[0029] The temperature data, humidity data, light intensity data and atmospheric pressure data are processed by a preset detector correction evaluation model to obtain an environmental correction factor for the area;

[0030] The calculation formula of the environmental correction factor is:

[0031] h g =ln(γ 1 f s +γ 2 w q +γ 3 r d +γ 4 k x );

[0032] Among them, h g is the environmental correction factor, f s 、w q 、r d , k x They are temperature data, humidity data, light intensity data, atmospheric pressure data, γ 1 , γ 2 , γ 3 , γ 4 is the preset characteristic coefficient.

[0033] Optionally, in the detector gain automatic configuration method described in the present application, the step of acquiring characteristic data of the detector and obtaining the gain intrinsic characteristic coefficient of the detector by processing the characteristic data in combination with the characteristic coefficient of the object to be detected includes:

[0034] Acquiring characteristic data of the detector through a preset detector monitoring platform database;

[0035] The characteristic data includes sensitivity data, resolution data, response time data, noise level data and spectral response data;

[0036] The characteristic data is processed according to the characteristic data and in combination with the characteristic coefficient of the object to be detected through a preset detector characteristic recognition model to obtain the gain inherent characteristic coefficient of the detector.

[0037] Optionally, in the detector gain automatic configuration method described in the present application, the processing according to the standard gain efficiency index combined with the environmental correction factor and the gain inherent characteristic coefficient to obtain the actual gain efficiency index of the detector includes:

[0038] According to the standard gain efficiency index, the actual gain efficiency index of the detector is obtained by processing the environmental correction factor and the gain inherent characteristic coefficient through a preset detector gain dynamic model;

[0039] The calculation formula of the actual gain efficiency index is:

[0040]

[0041] Among them, T b is the actual gain efficiency index, z y 、m n They are the standard gain efficiency index, gain inherent characteristic coefficient, and h y is the environmental correction factor, μ and σ are the preset characteristic coefficients.

[0042] Optionally, in the detector gain automatic configuration method described in the present application, the gain configuration parameters according to the user requirements and the real-time gain configuration parameters are processed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result, including:

[0043] According to the real-time gain configuration parameters of the detector, and comparing with the user required gain configuration parameters, a gain timeliness index is obtained;

[0044] Acquire historical detection record information of historical detection of the same type of detection objects as the object to be detected by detectors of the same type as the detector according to a preset detector database, and extract multiple historical detection gain efficiency indexes;

[0045] Processing the actual gain efficiency index according to the multiple historical detection gain efficiency indexes to obtain a detector gain accuracy coefficient;

[0046] Correcting the gain aging index according to the detector gain accuracy coefficient to obtain a gain aging correction index;

[0047] Performing a threshold comparison between the gain aging correction index and a preset gain aging threshold, and adjusting the gain configuration parameters of the detector according to the threshold comparison result;

[0048] The calculation formula of the detector gain accuracy coefficient is:

[0049]

[0050] Among them, C a is the detector gain accuracy coefficient, L pi is the gain efficiency index of the ith historical detection among n historical detections, T b is the actual gain efficiency index, and ρ is the preset characteristic coefficient.

[0051] In a second aspect, the present application provides a detector gain automatic configuration system, the system comprising: a memory and a processor, the memory comprising a program of a detector gain automatic configuration method, and the program of the detector gain automatic configuration method is executed by the processor to implement the following steps:

[0052] Obtain the required information of the object to be detected, extract characteristic data, and process the characteristic data to obtain the characteristic coefficient of the object to be detected;

[0053] Obtain detector input signal data, and evaluate the gain effect according to the corresponding standard output signal data to obtain a standard gain efficiency index;

[0054] Collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area;

[0055] Acquiring characteristic data of the detector, and processing the characteristic data in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector;

[0056] According to the standard gain efficiency index, combined with the environmental correction factor and the gain inherent characteristic coefficient, an actual gain efficiency index of the detector is obtained;

[0057] Obtaining user required gain configuration parameters and real-time gain configuration parameters of the detector;

[0058] According to the user demand gain configuration parameters and the real-time gain configuration parameters, processing is performed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result.

[0059] Optionally, in the detector gain automatic configuration system described in the present application, the step of obtaining the required information of the object to be detected, extracting characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected includes:

[0060] Obtain the required information of the object to be detected through the preset detector monitoring platform database, including physical property information, chemical composition information and electromagnetic characteristic information;

[0061] Processing the demand information through a preset detection object characteristic analysis model to obtain characteristic data of the object to be detected, including roughness data, reflectivity data, absorptivity data and conductivity data;

[0062] Processing the roughness data, reflectivity data, absorptivity data and conductivity data through a preset detection object characteristic recognition model to obtain characteristic coefficients of the object to be detected;

[0063] The calculation formula of the characteristic coefficient of the object to be detected is:

[0064]

[0065] Among them, s d is the characteristic coefficient of the object to be detected, d v 、h j 、p k They are reflectivity data, absorptivity data, and conductivity data, respectively. r is the roughness data, β 1 , β 2 , β 3 , ω are preset characteristic coefficients.

[0066] In a third aspect, the present application also provides a computer-readable storage medium, which stores a detector gain automatic configuration method program. When the detector gain automatic configuration method program is executed by a processor, the steps of the detector gain automatic configuration method as described in any one of the above items are implemented.

[0067] As can be seen from the above, the detector gain automatic configuration method, system and medium provided in the present application obtain the demand information of the object to be detected, extract the characteristic data, and process it to obtain the characteristic coefficient of the object to be detected, evaluate the gain effect according to the detector input signal data and the corresponding standard output signal data, and obtain the standard gain efficiency index, process according to the environmental characteristic data to obtain the environmental correction factor, obtain the characteristic data of the detector, and process it in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector, according to the standard gain efficiency index, in combination with the environmental correction factor and the gain inherent characteristic coefficient, process to obtain the actual gain efficiency index of the detector, obtain the user's required gain configuration parameters and the real-time gain configuration parameters of the detector, process them in combination with the actual gain efficiency index to obtain the gain time correction index, and perform a threshold comparison with the preset gain time threshold, and adjust the gain configuration parameters of the detector according to the threshold comparison result, thereby realizing the technology of automatic configuration of detector gain.

[0068] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0070] Figure 1 A flow chart of a detector gain automatic configuration method provided in an embodiment of the present application;

[0071] Figure 2 A flow chart of obtaining characteristic coefficients of an object to be detected in a method for automatically configuring detector gain provided in an embodiment of the present application;

[0072] Figure 3 A flow chart of obtaining a standard gain efficiency index for the detector gain automatic configuration method provided in an embodiment of the present application;

[0073] Figure 4 A flow chart of obtaining an environmental correction factor in the detector gain automatic configuration method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0074] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0075] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0076] Please refer to Figure 1 , Figure 1 : is a flow chart of a detector gain automatic configuration method in some embodiments of the present application. The detector gain automatic configuration method is used in a terminal device, such as a computer, a mobile phone terminal, etc. The detector gain automatic configuration method includes the following steps:

[0077] S11, obtaining the required information of the object to be detected, extracting characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected;

[0078] S12, obtaining detector input signal data, and performing gain effect evaluation according to corresponding standard output signal data to obtain a standard gain efficiency index;

[0079] S13, collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area;

[0080] S14, acquiring characteristic data of the detector, and processing the characteristic data in combination with the characteristic coefficient of the object to be detected to obtain a gain inherent characteristic coefficient of the detector;

[0081] S15, performing processing according to the standard gain efficiency index in combination with the environmental correction factor and the gain inherent characteristic coefficient to obtain an actual gain efficiency index of the detector;

[0082] S16, obtaining the user's required gain configuration parameters and the real-time gain configuration parameters of the detector;

[0083] S17, according to the user demand gain configuration parameters and the real-time gain configuration parameters, combined with the actual gain efficiency index, a gain time correction index is obtained, and a threshold comparison is performed with a preset gain time threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result.

[0084] It should be noted that in order to achieve automatic configuration of detector gain, ensure that the detector always works at the best performance, and improve the accuracy and reliability of measurement, first, the demand information of the object to be detected is obtained, the characteristic data is extracted, and the characteristic coefficient of the object to be detected is obtained by processing. The gain effect is evaluated according to the input signal data and the standard output signal data to obtain the standard gain efficiency index. The environmental correction factor is obtained by processing according to the environmental characteristic data. The characteristic data of the detector is obtained, and the inherent characteristic coefficient of the gain is obtained by combining the characteristic coefficient of the object to be detected. The actual gain efficiency index is obtained by combining the standard gain efficiency index and the environmental correction factor. The user's required gain configuration parameters and the real-time gain configuration parameters of the detector are obtained, and the actual gain efficiency index is processed to obtain the gain time correction index, which is compared with the threshold. The gain configuration parameters of the detector are adjusted according to the threshold comparison results, thereby realizing the technology of automatic configuration of the detector gain.

[0085] Please refer to Figure 2 , Figure 2 The present invention is a flowchart of obtaining the characteristic coefficient of the object to be detected in the detector gain automatic configuration method in some embodiments of the present invention. According to the embodiment of the present invention, the method of obtaining the required information of the object to be detected, extracting and obtaining the characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected includes:

[0086] S21. Obtain required information of the object to be detected through a preset detector monitoring platform database, including physical property information, chemical composition information, and electromagnetic characteristic information;

[0087] S22, processing the demand information through a preset detection object characteristic analysis model to obtain characteristic data of the object to be detected, including roughness data, reflectivity data, absorptivity data and conductivity data;

[0088] S23, processing the roughness data, reflectivity data, absorptivity data and conductivity data by a preset detection object characteristic recognition model to obtain characteristic coefficients of the object to be detected;

[0089] The calculation formula of the characteristic coefficient of the object to be detected is:

[0090]

[0091] Among them, s d is the characteristic coefficient of the object to be detected, dv 、h j 、p k They are reflectivity data, absorptivity data, and conductivity data, respectively. r is the roughness data, β 1 , β 2 , β 3 , ω is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0092] It should be noted that different detection objects have different characteristics, which will have a certain impact on the adjustment of the gain parameters. Therefore, it is necessary to obtain the characteristic data of the object being detected and input the calculation formula of the preset detection object characteristic recognition model for processing to obtain the characteristic coefficient of the object to be detected.

[0093] Please refer to Figure 3 , Figure 3 The following is a flow chart of obtaining a standard gain efficiency index in a detector gain automatic configuration method in some embodiments of the present application. According to an embodiment of the present invention, the step of obtaining detector input signal data and performing gain effect evaluation according to corresponding standard output signal data to obtain a standard gain efficiency index includes:

[0094] S31, obtaining detector input signal data, and obtaining corresponding standard output signal data through the original parameter database of the detector according to the input signal data;

[0095] S32, performing a gain effect evaluation based on the input signal data and in combination with the standard output signal data to obtain a standard gain efficiency index;

[0096] The calculation formula of the standard gain efficiency index is:

[0097]

[0098] Among them, z y is the standard gain efficiency index, i t , o c are the input signal data and the standard output signal data, θ, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0099] It should be noted that under factory settings, ignoring the influence of environmental and equipment factors, the detector has its standard gain efficiency index. The standard gain efficiency index can be obtained by evaluating the gain effect based on the detector's input signal and the corresponding standard output signal based on factory settings.

[0100] Please refer to Figure 4 , Figure 4The present invention is a flowchart of obtaining an environmental correction factor of a detector gain automatic configuration method in some embodiments of the present invention. According to an embodiment of the present invention, the environmental characteristic data of the area where the detector is located is collected, and the environmental correction factor of the area is obtained by processing the environmental characteristic data, including:

[0101] S41, collecting environmental characteristic data of the area where the detector is located through a preset environmental monitoring platform database, including temperature data, humidity data, light intensity data and atmospheric pressure data;

[0102] S42, processing the temperature data, humidity data, light intensity data and atmospheric pressure data through a preset detector correction evaluation model to obtain an environmental correction factor for the area;

[0103] The calculation formula of the environmental correction factor is:

[0104] h g =ln(γ 1 f s +γ 2 w q +γ 3 r d +γ 4 k x );

[0105] Among them, h g is the environmental correction factor, f s 、w q 、r d , k x They are temperature data, humidity data, light intensity data, atmospheric pressure data, γ 1 , γ 2 , γ 3 , γ 4 It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0106] It should be noted that environmental factors, including temperature and humidity, lighting conditions, and pressure, will affect the performance and gain requirements of the detector. Therefore, it is necessary to obtain and process the specific data of these environmental factors in the area where the detector is located to obtain the environmental correction factor in preparation for more accurate adjustment of the gain configuration later.

[0107] According to an embodiment of the present invention, the step of acquiring characteristic data of the detector and obtaining the gain intrinsic characteristic coefficient of the detector by processing the characteristic data in combination with the characteristic coefficient of the object to be detected includes:

[0108] Acquiring characteristic data of the detector through a preset detector monitoring platform database;

[0109] The characteristic data includes sensitivity data, resolution data, response time data, noise level data and spectral response data;

[0110] The characteristic data is processed according to the characteristic data and in combination with the characteristic coefficient of the object to be detected through a preset detector characteristic recognition model to obtain the gain inherent characteristic coefficient of the detector.

[0111] It should be noted that there are different types of detectors, and different types of detectors have different automatic configuration methods for different detection objects, and this is closely related to the characteristics of the detector itself. Therefore, it is necessary to first obtain the characteristic data of the detector, including sensitivity, resolution, response time, noise level, spectral response and other data, and process the above data in combination with the detection object characteristic coefficient through a preset detector characteristic recognition model to obtain the detector gain inherent characteristic coefficient. The detector characteristic recognition model is trained based on a large amount of historical detector characteristic data and detection object characteristic coefficients to initialize the detector characteristic recognition model to obtain a trained detector characteristic recognition model.

[0112] According to an embodiment of the present invention, the actual gain efficiency index of the detector is obtained by processing the standard gain efficiency index in combination with the environmental correction factor and the gain inherent characteristic coefficient, including:

[0113] According to the standard gain efficiency index, the actual gain efficiency index of the detector is obtained by processing the environmental correction factor and the gain inherent characteristic coefficient through a preset detector gain dynamic model;

[0114] The calculation formula of the actual gain efficiency index is:

[0115]

[0116] Among them, T b is the actual gain efficiency index, z y 、m n They are the standard gain efficiency index, gain inherent characteristic coefficient, and h y is the environmental correction factor, μ and σ are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset detector monitoring platform database).

[0117] It should be noted that when the detector is actually used, its actual gain efficiency will be lower than the standard gain efficiency under factory setting conditions. Therefore, it is necessary to obtain the actual gain efficiency index of the detector based on the acquired gain inherent characteristic coefficient and environmental correction factor, combined with the standard gain efficiency index.

[0118] According to an embodiment of the present invention, the user demand gain configuration parameter and the real-time gain configuration parameter are processed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameter of the detector is adjusted according to the threshold comparison result, including:

[0119] According to the real-time gain configuration parameters of the detector, and comparing with the user required gain configuration parameters, a gain timeliness index is obtained;

[0120] Acquire historical detection record information of historical detection of the same type of detection objects as the object to be detected by detectors of the same type as the detector according to a preset detector database, and extract multiple historical detection gain efficiency indexes;

[0121] Processing the actual gain efficiency index according to the multiple historical detection gain efficiency indexes to obtain a detector gain accuracy coefficient;

[0122] Correcting the gain aging index according to the detector gain accuracy coefficient to obtain a gain aging correction index;

[0123] Performing a threshold comparison between the gain aging correction index and a preset gain aging threshold, and adjusting the gain configuration parameters of the detector according to the threshold comparison result;

[0124] The calculation formula of the detector gain accuracy coefficient is:

[0125]

[0126] Among them, C a is the detector gain accuracy coefficient, L pi is the gain efficiency index of the ith historical detection among n historical detections, T b is the actual gain efficiency index, and ρ is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0127] It should be noted that after obtaining the actual gain efficiency index of the detector, in order to achieve an automatic configuration method with higher accuracy and reliability, the real-time gain configuration parameters of the detector are further compared with the gain configuration parameters required by the user to obtain the gain timeliness index, and the historical detection record information of the historical detection of the same type of objects to be detected by the same type of detector as the detector is obtained according to the preset detector database, and multiple historical detection gain efficiency indexes are extracted, and processed in combination with the actual gain efficiency index to obtain the detector gain accuracy coefficient, and the gain timeliness index is further corrected to obtain the gain timeliness correction index, and the threshold is compared with the preset gain timeliness threshold, and the technology of automatic configuration of the detector gain configuration is realized according to the comparison result.

[0128] According to an embodiment of the present invention, the method further includes:

[0129] Collecting the gain configuration parameters corresponding to a plurality of time nodes of the detector within a preset time period after the adjusted gain configuration parameters are obtained;

[0130] Processing the gain configuration parameters corresponding to the multiple time nodes to obtain gain configuration parameter change rate data within the preset time period;

[0131] Acquire usage frequency data and usage intensity data of the detector within the preset time period;

[0132] According to the gain configuration parameter change rate data, combined with the usage frequency data and the usage intensity data, the detector gain attenuation degree is evaluated to obtain the detector gain attenuation coefficient;

[0133] The detector gain attenuation coefficient is compared with a preset attenuation threshold value, and if the comparison result does not meet the preset threshold comparison requirement, the user is reminded to perform maintenance on the detector;

[0134] The calculation formula of the detector gain attenuation coefficient is:

[0135]

[0136] Among them, q f is the detector gain attenuation coefficient, u w 、e p ,y l They are gain configuration parameter change rate data, usage frequency data, and usage intensity data, respectively; τ and ψ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset detector monitoring platform database).

[0137] It should be noted that during long-term use, the performance and gain effect of the detector will decay. If the decay rate exceeds the preset threshold, it indicates that the detector has a problem and needs maintenance. Therefore, the detector's gain configuration parameter change rate data and the corresponding usage frequency data and usage intensity data over a period of time can be obtained, and the attenuation degree can be evaluated to obtain the detector gain attenuation coefficient. Based on the specific detector gain attenuation coefficient, it can be determined whether maintenance work needs to be performed.

[0138] In a second aspect, the present invention further discloses a detector gain automatic configuration system, comprising a memory and a processor, wherein the memory comprises a detector gain automatic configuration method program, and when the detector gain automatic configuration method program is executed by the processor, the following steps are implemented:

[0139] Obtain the required information of the object to be detected, extract characteristic data, and process the characteristic data to obtain the characteristic coefficient of the object to be detected;

[0140] Obtain detector input signal data, and evaluate the gain effect according to the corresponding standard output signal data to obtain a standard gain efficiency index;

[0141] Collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area;

[0142] Acquiring characteristic data of the detector, and processing the characteristic data in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector;

[0143] According to the standard gain efficiency index, combined with the environmental correction factor and the gain inherent characteristic coefficient, an actual gain efficiency index of the detector is obtained;

[0144] Obtaining user required gain configuration parameters and real-time gain configuration parameters of the detector;

[0145] According to the user demand gain configuration parameters and the real-time gain configuration parameters, processing is performed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result.

[0146] It should be noted that in order to achieve automatic configuration of detector gain, ensure that the detector always works at the best performance, and improve the accuracy and reliability of measurement, first, the demand information of the object to be detected is obtained, the characteristic data is extracted, and the characteristic coefficient of the object to be detected is obtained by processing. The gain effect is evaluated according to the input signal data and the standard output signal data to obtain the standard gain efficiency index. The environmental correction factor is obtained by processing according to the environmental characteristic data. The characteristic data of the detector is obtained, and the inherent characteristic coefficient of the gain is obtained by combining the characteristic coefficient of the object to be detected. The actual gain efficiency index is obtained by combining the standard gain efficiency index and the environmental correction factor. The user's required gain configuration parameters and the real-time gain configuration parameters of the detector are obtained, and the actual gain efficiency index is processed to obtain the gain time correction index, which is compared with the threshold. The gain configuration parameters of the detector are adjusted according to the threshold comparison results, thereby realizing the technology of automatic configuration of the detector gain.

[0147] According to an embodiment of the present invention, the step of obtaining the required information of the object to be detected, extracting characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected includes:

[0148] Obtain the required information of the object to be detected through the preset detector monitoring platform database, including physical property information, chemical composition information and electromagnetic characteristic information;

[0149] Processing the demand information through a preset detection object characteristic analysis model to obtain characteristic data of the object to be detected, including roughness data, reflectivity data, absorptivity data and conductivity data;

[0150] Processing the roughness data, reflectivity data, absorptivity data and conductivity data through a preset detection object characteristic recognition model to obtain characteristic coefficients of the object to be detected;

[0151] The calculation formula of the characteristic coefficient of the object to be detected is:

[0152]

[0153] Among them, s d is the characteristic coefficient of the object to be detected, d v 、h j 、p k They are reflectivity data, absorptivity data, and conductivity data, respectively. r is the roughness data, β 1 , β 2 , β 3 , ω is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0154] It should be noted that different detection objects have different characteristics, which will have a certain impact on the adjustment of the gain parameters. Therefore, it is necessary to obtain the characteristic data of the object being detected and input the calculation formula of the preset detection object characteristic recognition model for processing to obtain the characteristic coefficient of the object to be detected.

[0155] According to an embodiment of the present invention, the step of acquiring detector input signal data and performing gain effect evaluation according to corresponding standard output signal data to obtain a standard gain efficiency index includes:

[0156] Acquire detector input signal data, and acquire corresponding standard output signal data through the original parameter database of the detector according to the input signal data;

[0157] Performing a gain effect evaluation based on the input signal data in combination with the standard output signal data to obtain a standard gain efficiency index;

[0158] The calculation formula of the standard gain efficiency index is:

[0159]

[0160] Among them, z yis the standard gain efficiency index, i t , o c are the input signal data and the standard output signal data, θ, It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0161] It should be noted that under factory settings, ignoring the influence of environmental and equipment factors, the detector has its standard gain efficiency index. The standard gain efficiency index can be obtained by evaluating the gain effect based on the detector's input signal and the corresponding standard output signal based on factory settings.

[0162] According to an embodiment of the present invention, collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area includes:

[0163] Collect environmental characteristic data of the area where the detector is located through a preset environmental monitoring platform database, including temperature data, humidity data, light intensity data and atmospheric pressure data;

[0164] The temperature data, humidity data, light intensity data and atmospheric pressure data are processed by a preset detector correction evaluation model to obtain an environmental correction factor for the area;

[0165] The calculation formula of the environmental correction factor is:

[0166] h g =ln(γ 1 f s +γ 2 w q +γ 3 r d +γ 4 k x );

[0167] Among them, h g is the environmental correction factor, f s 、w q 、r d , k x They are temperature data, humidity data, light intensity data, atmospheric pressure data, γ 1 , γ 2 , γ 3 , γ 4 It is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0168] It should be noted that environmental factors, including temperature and humidity, lighting conditions, and pressure, will affect the performance and gain requirements of the detector. Therefore, it is necessary to obtain and process the specific data of these environmental factors in the area where the detector is located to obtain the environmental correction factor in preparation for more accurate adjustment of the gain configuration later.

[0169] According to an embodiment of the present invention, the step of acquiring characteristic data of the detector and obtaining the gain intrinsic characteristic coefficient of the detector by processing the characteristic data in combination with the characteristic coefficient of the object to be detected includes:

[0170] Acquiring characteristic data of the detector through a preset detector monitoring platform database;

[0171] The characteristic data includes sensitivity data, resolution data, response time data, noise level data and spectral response data;

[0172] The characteristic data is processed according to the characteristic data and in combination with the characteristic coefficient of the object to be detected through a preset detector characteristic recognition model to obtain the gain inherent characteristic coefficient of the detector.

[0173] It should be noted that there are different types of detectors, and different types of detectors have different automatic configuration methods for different detection objects, and this is closely related to the characteristics of the detector itself. Therefore, it is necessary to first obtain the characteristic data of the detector, including sensitivity, resolution, response time, noise level, spectral response and other data, and process the above data in combination with the detection object characteristic coefficient through a preset detector characteristic recognition model to obtain the detector gain inherent characteristic coefficient. The detector characteristic recognition model is trained based on a large amount of historical detector characteristic data and detection object characteristic coefficients to initialize the detector characteristic recognition model to obtain a trained detector characteristic recognition model.

[0174] According to an embodiment of the present invention, the actual gain efficiency index of the detector is obtained by processing the standard gain efficiency index in combination with the environmental correction factor and the gain inherent characteristic coefficient, including:

[0175] According to the standard gain efficiency index, the actual gain efficiency index of the detector is obtained by processing the environmental correction factor and the gain inherent characteristic coefficient through a preset detector gain dynamic model;

[0176] The calculation formula of the actual gain efficiency index is:

[0177]

[0178] Among them, T b is the actual gain efficiency index, z y 、m nThey are the standard gain efficiency index, gain inherent characteristic coefficient, and h y is the environmental correction factor, μ and σ are the preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset detector monitoring platform database).

[0179] It should be noted that when the detector is actually used, its actual gain efficiency will be lower than the standard gain efficiency under factory setting conditions. Therefore, it is necessary to obtain the actual gain efficiency index of the detector based on the acquired gain inherent characteristic coefficient and environmental correction factor, combined with the standard gain efficiency index.

[0180] According to an embodiment of the present invention, the user demand gain configuration parameter and the real-time gain configuration parameter are processed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameter of the detector is adjusted according to the threshold comparison result, including:

[0181] According to the real-time gain configuration parameters of the detector, and comparing with the user required gain configuration parameters, a gain timeliness index is obtained;

[0182] Acquire historical detection record information of historical detection of the same type of detection objects as the object to be detected by detectors of the same type as the detector according to a preset detector database, and extract multiple historical detection gain efficiency indexes;

[0183] Processing the actual gain efficiency index according to the multiple historical detection gain efficiency indexes to obtain a detector gain accuracy coefficient;

[0184] Correcting the gain aging index according to the detector gain accuracy coefficient to obtain a gain aging correction index;

[0185] Performing a threshold comparison between the gain aging correction index and a preset gain aging threshold, and adjusting the gain configuration parameters of the detector according to the threshold comparison result;

[0186] The calculation formula of the detector gain accuracy coefficient is:

[0187]

[0188] Among them, C a is the detector gain accuracy coefficient, L pi is the gain efficiency index of the ith historical detection among n historical detections, T b is the actual gain efficiency index, and ρ is the preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset detector monitoring platform database).

[0189] It should be noted that after obtaining the actual gain efficiency index of the detector, in order to achieve an automatic configuration method with higher accuracy and reliability, the real-time gain configuration parameters of the detector are further compared with the gain configuration parameters required by the user to obtain the gain timeliness index, and the historical detection record information of the historical detection of the same type of objects to be detected by the same type of detector as the detector is obtained according to the preset detector database, and multiple historical detection gain efficiency indexes are extracted, and processed in combination with the actual gain efficiency index to obtain the detector gain accuracy coefficient, and the gain timeliness index is further corrected to obtain the gain timeliness correction index, and the threshold is compared with the preset gain timeliness threshold, and the technology of automatic configuration of the detector gain configuration is realized according to the comparison result.

[0190] According to an embodiment of the present invention, the method further includes:

[0191] Collecting the gain configuration parameters corresponding to a plurality of time nodes of the detector within a preset time period after the adjusted gain configuration parameters are obtained;

[0192] Processing the gain configuration parameters corresponding to the multiple time nodes to obtain gain configuration parameter change rate data within the preset time period;

[0193] Acquire usage frequency data and usage intensity data of the detector within the preset time period;

[0194] According to the gain configuration parameter change rate data, combined with the usage frequency data and the usage intensity data, the detector gain attenuation degree is evaluated to obtain the detector gain attenuation coefficient;

[0195] The detector gain attenuation coefficient is compared with a preset attenuation threshold value, and if the comparison result does not meet the preset threshold comparison requirement, the user is reminded to perform maintenance on the detector;

[0196] The calculation formula of the detector gain attenuation coefficient is:

[0197]

[0198] Among them, q f is the detector gain attenuation coefficient, u w 、e p ,y l They are gain configuration parameter change rate data, usage frequency data, and usage intensity data, respectively; τ and ψ are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset detector monitoring platform database).

[0199] It should be noted that during long-term use, the performance and gain effect of the detector will decay. If the decay rate exceeds the preset threshold, it indicates that the detector has a problem and needs maintenance. Therefore, the detector's gain configuration parameter change rate data and the corresponding usage frequency data and usage intensity data over a period of time can be obtained, and the attenuation degree can be evaluated to obtain the detector gain attenuation coefficient. Based on the specific detector gain attenuation coefficient, it can be determined whether maintenance work needs to be performed.

[0200] A third aspect of the present invention provides a readable storage medium, in which a detector gain automatic configuration method program is stored. When the detector gain automatic configuration method program is executed by a processor, the steps of the detector gain automatic configuration method as described in any one of the above items are implemented.

[0201] The detector gain automatic configuration method, system and medium disclosed in the present invention obtain the demand information of the object to be detected, extract the characteristic data, and process it to obtain the characteristic coefficient of the object to be detected, evaluate the gain effect according to the detector input signal data and the corresponding standard output signal data to obtain the standard gain efficiency index, process it according to the environmental characteristic data to obtain the environmental correction factor, obtain the characteristic data of the detector, and process it in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector, process it according to the standard gain efficiency index in combination with the environmental correction factor and the gain inherent characteristic coefficient to obtain the actual gain efficiency index of the detector, obtain the user demand gain configuration parameters and the real-time gain configuration parameters of the detector, process it in combination with the actual gain efficiency index to obtain the gain time correction index, perform a threshold comparison with the preset gain time threshold, and adjust the gain configuration parameters of the detector according to the threshold comparison result, thereby realizing the technology of automatic configuration of detector gain.

[0202] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0203] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0204] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0205] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0206] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A detector gain automatic configuration method, characterized in that: The following steps are involved: Obtain the required information of the object to be detected, extract characteristic data, and process the characteristic data to obtain the characteristic coefficient of the object to be detected; Obtain detector input signal data, and evaluate the gain effect according to the corresponding standard output signal data to obtain a standard gain efficiency index; Collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area; Acquiring characteristic data of the detector, and processing the characteristic data in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector; According to the standard gain efficiency index, combined with the environmental correction factor and the gain inherent characteristic coefficient, an actual gain efficiency index of the detector is obtained; Obtaining user required gain configuration parameters and real-time gain configuration parameters of the detector; According to the user demand gain configuration parameters and the real-time gain configuration parameters, processing is performed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result.

2. The detector gain automatic configuration method according to claim 1, characterized in that: The step of obtaining the required information of the object to be detected, extracting characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected includes: Obtain the required information of the object to be detected through the preset detector monitoring platform database, including physical property information, chemical composition information and electromagnetic characteristic information; The demand information is processed through a preset detection object characteristic analysis model to obtain characteristic data of the object to be detected, including roughness data, reflectivity data, absorptivity data and conductivity data; Processing the roughness data, reflectivity data, absorptivity data and conductivity data through a preset detection object characteristic recognition model to obtain characteristic coefficients of the object to be detected; The calculation formula of the characteristic coefficient of the object to be detected is: Among them, s d is the characteristic coefficient of the object to be detected, d v 、h j 、p k They are reflectivity data, absorptivity data, and conductivity data, respectively. r is the roughness data, β1, β2, β3, ω are the preset characteristic coefficients.

3. The detector gain automatic configuration method according to claim 2, characterized in that: The step of obtaining the detector input signal data and evaluating the gain effect according to the corresponding standard output signal data to obtain the standard gain efficiency index includes: Acquire detector input signal data, and acquire corresponding standard output signal data through the original parameter database of the detector according to the input signal data; Performing a gain effect evaluation based on the input signal data and in combination with the standard output signal data to obtain a standard gain efficiency index; The calculation formula of the standard gain efficiency index is: Among them, z y is the standard gain efficiency index, i t , o c are the input signal data and the standard output signal data, θ, is the preset characteristic coefficient.

4. The detector gain automatic configuration method according to claim 3, characterized in that: The collecting of the environmental characteristic data of the area where the detector is located, and obtaining the environmental correction factor of the area by processing according to the environmental characteristic data, comprises: Collect environmental characteristic data of the area where the detector is located through a preset environmental monitoring platform database, including temperature data, humidity data, light intensity data and atmospheric pressure data; The temperature data, humidity data, light intensity data and atmospheric pressure data are processed by a preset detector correction evaluation model to obtain an environmental correction factor for the area; The calculation formula of the environmental correction factor is: h g =ln(γ1f s +γ2w q +γ3r d +γ4k x ); Among them, h g is the environmental correction factor, f s 、w q 、r d , k x They are temperature data, humidity data, light intensity data, and atmospheric pressure data, and γ1, γ2, γ3, and γ4 are preset characteristic coefficients.

5. The detector gain automatic configuration method according to claim 4, characterized in that: The step of acquiring characteristic data of the detector and obtaining the gain inherent characteristic coefficient of the detector by processing the characteristic data in combination with the characteristic coefficient of the object to be detected includes: Acquiring characteristic data of the detector through a preset detector monitoring platform database; The characteristic data includes sensitivity data, resolution data, response time data, noise level data and spectral response data; The characteristic data is processed according to the characteristic data and in combination with the characteristic coefficient of the object to be detected through a preset detector characteristic recognition model to obtain the gain inherent characteristic coefficient of the detector.

6. The detector gain automatic configuration method according to claim 5, characterized in that: The step of processing the standard gain efficiency index in combination with the environmental correction factor and the gain inherent characteristic coefficient to obtain the actual gain efficiency index of the detector includes: According to the standard gain efficiency index, the actual gain efficiency index of the detector is obtained by processing the environmental correction factor and the gain inherent characteristic coefficient through a preset detector gain dynamic model; The calculation formula of the actual gain efficiency index is: Among them, T b is the actual gain efficiency index, z y 、m n They are the standard gain efficiency index, gain inherent characteristic coefficient, and h y is the environmental correction factor, μ and σ are the preset characteristic coefficients.

7. The detector gain automatic configuration method according to claim 6, characterized in that: The step of processing the user demand gain configuration parameter and the real-time gain configuration parameter in combination with the actual gain efficiency index to obtain a gain aging correction index, performing a threshold comparison with a preset gain aging threshold, and adjusting the gain configuration parameter of the detector according to the threshold comparison result includes: According to the real-time gain configuration parameters of the detector, and comparing with the user required gain configuration parameters, a gain timeliness index is obtained; Acquire historical detection record information of historical detection of the same type of detection objects as the object to be detected by detectors of the same type as the detector according to a preset detector database, and extract multiple historical detection gain efficiency indexes; Processing the actual gain efficiency index according to the multiple historical detection gain efficiency indexes to obtain a detector gain accuracy coefficient; Correcting the gain aging index according to the detector gain accuracy coefficient to obtain a gain aging correction index; Performing a threshold comparison between the gain aging correction index and a preset gain aging threshold, and adjusting the gain configuration parameters of the detector according to the threshold comparison result; The calculation formula of the detector gain accuracy coefficient is: Among them, C a is the detector gain accuracy coefficient, L pi is the gain efficiency index of the ith historical detection among n historical detections, T b is the actual gain efficiency index, and ρ is the preset characteristic coefficient.

8. A detector gain automatic configuration system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a detector gain automatic configuration method, and when the program of the detector gain automatic configuration method is executed by the processor, the following steps are implemented: Obtain the required information of the object to be detected, extract characteristic data, and process the characteristic data to obtain the characteristic coefficient of the object to be detected; Obtain detector input signal data, and evaluate the gain effect according to the corresponding standard output signal data to obtain a standard gain efficiency index; Collecting environmental characteristic data of the area where the detector is located, and processing the environmental characteristic data to obtain an environmental correction factor of the area; Acquiring characteristic data of the detector, and processing the characteristic data in combination with the characteristic coefficient of the object to be detected to obtain the gain inherent characteristic coefficient of the detector; According to the standard gain efficiency index, combined with the environmental correction factor and the gain inherent characteristic coefficient, an actual gain efficiency index of the detector is obtained; Obtaining user required gain configuration parameters and real-time gain configuration parameters of the detector; According to the user demand gain configuration parameters and the real-time gain configuration parameters, processing is performed in combination with the actual gain efficiency index to obtain a gain aging correction index, and a threshold comparison is performed with a preset gain aging threshold, and the gain configuration parameters of the detector are adjusted according to the threshold comparison result.

9. The detector gain automatic configuration system according to claim 8, characterized in that: The step of obtaining the required information of the object to be detected, extracting characteristic data, and processing the characteristic data to obtain the characteristic coefficient of the object to be detected includes: Obtain the required information of the object to be detected through the preset detector monitoring platform database, including physical property information, chemical composition information and electromagnetic characteristic information; The demand information is processed through a preset detection object characteristic analysis model to obtain characteristic data of the object to be detected, including roughness data, reflectivity data, absorptivity data and conductivity data; Processing the roughness data, reflectivity data, absorptivity data and conductivity data through a preset detection object characteristic recognition model to obtain characteristic coefficients of the object to be detected; The calculation formula of the characteristic coefficient of the object to be detected is: Among them, s d is the characteristic coefficient of the object to be detected, d v 、h j 、p k They are reflectivity data, absorptivity data, and conductivity data, respectively. r is the roughness data, β1, β2, β3, ω are the preset characteristic coefficients.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a detector gain automatic configuration method program, and when the detector gain automatic configuration method program is executed by a processor, the steps of the detector gain automatic configuration method according to any one of claims 1 to 7 are implemented.

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