CN118329802A - Environmental monitoring equipment calibration method and system - Google Patents
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Abstract
The invention provides a method and a system for calibrating environmental monitoring equipment, and relates to the technical field of environmental monitoring equipment. The method comprises the following steps: collecting and storing an environmental sample at the beginning time of the current detection period; acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period; obtaining the contrast content information of various substances; determining whether the environmental monitoring spectrum equipment needs to be calibrated in the current detection period; if the environment monitoring spectrum equipment needs to be calibrated in the current detection period, a trained content prediction model and the calibrated environment monitoring spectrum equipment are obtained; determining the duration of the current detection period; environmental monitoring is carried out in the current detection period; and moving the environmental sample at the beginning time of the previous detection period to a region to be recovered, and recovering. According to the invention, the automatic calibration can be realized, the influence of the natural environment on the detection data is reduced, and the precision and accuracy of the environment monitoring equipment are improved.
Description
Technical Field
The present invention relates to the field of environmental monitoring devices, and in particular, to a method and a system for calibrating an environmental monitoring device.
Background
In the related art, CN114486765A discloses a cooperative correction method and a system of a full-spectrum water quality analyzer, which belong to the technical field of data processing of the full-spectrum water quality analyzer and comprise a server, an integration module, a water quality detection module and a cooperative correction module; the integration module is used for setting a collaborative correction device; the water quality detection module is used for carrying out water quality detection through the full spectrum water quality analyzer, acquiring a water quality detection scheme, identifying the position of a water quality detection point in the water quality detection scheme, arranging the full spectrum water quality analyzer on the water quality detection point for water quality detection, acquiring detection data, and naming the full spectrum water quality analyzer on the same single tributary according to a corresponding cooperative correction device; the real-time detection and correction of the water quality by the full spectrum water quality analyzer are realized, the inconvenience and high cost caused by the fact that the full spectrum water quality analyzer is sent to a laboratory for correction are avoided, and the second-level accurate measurement of the water quality is realized.
CN102121902a discloses a correction device and a correction method for an online raman spectrometer, which are used for detecting laser power of a laser of an online raman detection system as reference power, and correcting the laser power and spectrum position of the online raman spectrometer in real time by using the position of a raman spectrum peak obtained by a neon lamp monochromatic light source as reference position, so as to realize correction when the laser power is reduced or deviated and correction when the spectrum level deviates under the condition of long-time working of the online raman spectrometer, thereby achieving long-term effective working under the severe environment of the online raman spectrometer and ensuring long-term effective on-site sample detection of the online raman spectrometer.
Accordingly, the content of various substances in the environment can be detected by a spectrometer in the related art. However, since the spectroscopic apparatus may be interfered by the ambient light of the natural environment in which it is located, there are some detection errors, resulting in a problem of inaccurate detection, and the correction method in the related art has difficulty in correcting the spectroscopic apparatus in various natural environments.
The information disclosed in the background section of the application is only for enhancement of understanding of the general background of the application and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention provides a method and a system for calibrating environmental monitoring equipment, which can solve the technical problem of inaccurate detection of the environmental monitoring equipment.
According to a first aspect of the present invention, there is provided an environmental monitoring device calibration method comprising:
Collecting and storing an environmental sample at the beginning time of the current detection period;
acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period;
Detecting an environmental sample at the beginning time of a previous detection period through environmental monitoring spectrum equipment to obtain contrast spectrum data, and inputting the contrast spectrum data into a content prediction model to obtain contrast content information of various substances;
determining whether the environmental monitoring spectrum equipment needs to be calibrated in the current detection period according to the comparison content information and the historical content information;
if the environment monitoring spectrum equipment needs to be calibrated in the current detection period, training the content prediction model according to the comparison content information, the historical content information and a preset calibration sample to obtain a trained content prediction model and calibrated environment monitoring spectrum equipment;
Determining the duration of the current detection period according to the contrast content information, the historical content information and an environmental sample at the starting time of the current detection period;
Performing environmental monitoring in the current detection period according to the calibrated environmental monitoring spectrum equipment, the trained content prediction model and the duration of the current detection period;
and moving the environmental sample at the beginning time of the previous detection period to a region to be recovered, and recovering.
According to a second aspect of the present invention there is provided an environmental monitoring device calibration system, the system comprising:
The environment sample module is used for collecting and storing environment samples at the starting time of the current detection period;
The historical content information module is used for acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period;
the contrast content information module is used for detecting an environmental sample at the beginning time of a previous detection period through environmental monitoring spectrum equipment to obtain contrast spectrum data, and inputting the contrast spectrum data into a content prediction model to obtain contrast content information of various substances;
Whether a calibration module is needed or not is used for determining whether the environment monitoring spectrum equipment needs to be calibrated in the current detection period according to the comparison content information and the historical content information;
the prediction model and spectrum equipment module is used for training the content prediction model according to the comparison content information, the historical content information and a preset calibration sample if the environment monitoring spectrum equipment needs to be calibrated in the current detection period, so as to obtain a trained content prediction model and calibrated environment monitoring spectrum equipment;
The duration module is used for determining the duration of the current detection period according to the comparison content information, the historical content information and the environmental sample at the starting time of the current detection period;
The environment monitoring module is used for carrying out environment monitoring in the current detection period according to the calibrated environment monitoring spectrum equipment, the trained content prediction model and the duration of the current detection period;
and the recovery module is used for moving the environmental sample at the beginning time of the previous detection period to the region to be recovered and recovering the environmental sample.
According to a third aspect of the present invention there is provided an environmental monitoring device calibration device comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored by the memory to perform the environmental monitoring device calibration method.
According to a fourth aspect of the present invention there is provided a computer readable storage medium having stored thereon computer program instructions which when executed by a processor implement the environmental monitoring device calibration method.
The technical effects are as follows: according to the invention, the comparison content information obtained by detecting the environmental sample in the previous detection period and the historical content information detected in the previous detection period are compared, whether the natural environment where the environmental monitoring spectrum equipment is located changes in one detection period is judged, and if the environmental monitoring spectrum equipment is no longer suitable for the natural environment, the content prediction model can be trained through the calibration sample, so that the accuracy of the content prediction model is improved, and the accuracy and the reliability of the environmental monitoring data are improved. The calibrated environment monitoring spectrum equipment can improve the accuracy in the working process and correct the deviation in time. By judging whether the environment monitoring spectrum equipment is suitable for the natural environment or not and determining the duration of the detection period, the use of resources and equipment can be reasonably arranged, and the waste of operation resources is reduced. The sample can be properly disposed of by recycling treatment, so that environmental pollution is reduced. When judging whether the environment monitoring spectrum equipment needs calibration, comprehensively considering the substance content information in various sets based on the comparison content information and the historical content information and the reasons for the existence of errors, and determining the content error of each substance based on the sensitivity error, thereby more comprehensively evaluating the accuracy and the stability of the environment monitoring spectrum equipment. The weighted error is a quantization index that measures the difference between the historical actual content and the comparison content. The weighted error is determined, so that the error degree of the environment monitoring spectrum equipment in the current detection period can be objectively reflected, whether the environment monitoring spectrum equipment is suitable for the natural environment in the current detection period is judged, and whether the environment monitoring spectrum equipment needs to be calibrated in the current detection period is accurately judged. When the content prediction model is trained, the measurement error of the calibration sample can be weighted through the period of natural environment change corresponding to the measurement error of the calibration sample in the determining process of the loss function, and the error of the historical content information in the comparison content information is weighted through the period of natural environment change corresponding to the historical content information, so that the cause of the error is accurately determined, the error is pertinently reduced through training, and the accuracy of the content prediction model is improved. When the duration of the current detection period is determined, the duration of the current detection period can be adjusted according to the environmental influence coefficient and the substance content change coefficient so as to reflect the overall change condition of environmental change and substance content change. If the overall change condition is large, the duration of the detection period can be shortened, the changed environment can be detected at a higher frequency, and the detection accuracy and the real-time performance are improved. Conversely, if the overall change is small, the duration of the detection period is increased to save effort. The duration of the detection period is adjusted according to the actual situation, so that the detection is more adaptive, flexible and economical, and the accuracy and efficiency of the detection are improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention as claimed. Other features and aspects of the present invention will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments of the invention or the solutions of the prior art, the drawings which are necessary for the description of the embodiments or the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other embodiments may be obtained from these drawings without inventive effort to a person skilled in the art,
FIG. 1 schematically illustrates a flow diagram of an environmental monitoring device calibration method according to an embodiment of the invention;
FIG. 2 schematically illustrates a block diagram of an environmental monitoring device calibration system in accordance with an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 1 schematically shows a flow chart of a method for calibrating an environmental monitoring device according to an embodiment of the invention, the method comprising:
Step S101, collecting and storing an environment sample at the beginning time of the current detection period;
step S102, acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period;
Step S103, detecting an environmental sample at the beginning time of a previous detection period through environmental monitoring spectrum equipment to obtain contrast spectrum data, and inputting the contrast spectrum data into a content prediction model to obtain contrast content information of various substances;
Step S104, determining whether the environmental monitoring spectrum equipment needs to be calibrated in the current detection period according to the comparison content information and the historical content information;
Step S105, if the environmental monitoring spectrum equipment needs to be calibrated in the current detection period, training the content prediction model according to the comparison content information, the historical content information and a preset calibration sample to obtain a trained content prediction model and calibrated environmental monitoring spectrum equipment;
step S106, determining the duration of the current detection period according to the comparative content information, the historical content information and the environmental sample at the beginning time of the current detection period;
Step S107, environmental monitoring is performed in the current detection period according to the calibrated environmental monitoring spectrum device, the trained content prediction model and the duration of the current detection period;
Step S108, the environmental sample at the beginning time of the previous detection period is moved to the area to be recovered, and recovery is performed.
According to the environment monitoring equipment calibration method provided by the embodiment of the invention, the comparison content information obtained by detecting the environment sample in the previous detection period and the historical content information detected in the previous detection period are compared to judge whether the natural environment where the environment monitoring spectrum equipment is located changes in one detection period, and if the environment monitoring spectrum equipment is no longer suitable for the natural environment, the content prediction model can be trained by the calibration sample, so that the accuracy of the content prediction model is improved, and the accuracy and the reliability of environment monitoring data are improved. The calibrated environment monitoring spectrum equipment can improve the accuracy in the working process and correct the deviation in time. By judging whether the environment monitoring spectrum equipment is suitable for the natural environment or not and determining the duration of the detection period, the use of resources and equipment can be reasonably arranged, and the waste of operation resources is reduced. The sample can be properly disposed of by recycling treatment, so that environmental pollution is reduced.
According to one embodiment of the invention, at the beginning of each detection cycle, samples in the environment are collected and saved for subsequent use in step S101. The environmental samples collected may include samples of air, water, soil, or other related substances, depending on the particular environmental monitoring needs.
In step S102, an environmental sample at the beginning of the previous cycle has been collected and saved during the environmental monitoring process, according to one embodiment of the present invention. The environmental sample contains historical content information of various substances, such as the concentration, content, etc. of various chemical substances, pollutants or other substances. The historical content information provides an important reference basis for subsequent environmental monitoring, calibration and prediction.
According to one embodiment of the present invention, in step S103, the environmental monitoring spectrum apparatus is an apparatus for analyzing spectral characteristics of different substances in an environmental sample, and the content of a plurality of substances in the environment can be determined by spectral analysis. The device obtains contrast spectral data by analyzing spectral features of an environmental sample at the beginning of a previous detection period. The content prediction model is a model for predicting the content of various substances in an environmental sample. By inputting the contrast spectrum data into the model, content information of a plurality of substances in the environmental sample at the start time of the previous detection period, that is, contrast content information is obtained.
According to an embodiment of the present invention, in step S104, the comparison content information and the history content information are content information of a plurality of substances in the same environmental sample, if the difference between the comparison content information and the history content information is obvious, it indicates that the natural environment where the environmental monitoring spectrum device is located changes greatly in one detection period, so that the content information measured by the environmental monitoring spectrum device at the beginning of the current detection period and the beginning of the previous detection period is greatly different, in other words, the error occurs in the environmental monitoring spectrum device due to the change of the natural environment (for example, the illumination environment). The historical content information is content information measured by the environment monitoring spectrum equipment under the condition of adapting to natural environment, if the error between the compared content information and the historical content information is larger, the environment monitoring spectrum equipment cannot adapt to the natural environment of the current detection period, and calibration is needed to improve the accuracy and reliability of the measurement result. If the error of the comparison content information and the historical content information is smaller, the environment monitoring spectrum equipment does not need to be calibrated, so that calculation force is saved.
According to one embodiment of the present invention, step S104 includes: determining a first type set of a plurality of substances corresponding to the historical content information and a second type set of a plurality of substances corresponding to the comparative content information according to the comparative content information and the historical content information; determining an intersection of the first type set and the second type set; determining a third set of types included in the first set of types but not included in the intersection; determining a fourth set of types that are included in the second set of types but not in the intersection; and determining whether the environmental monitoring spectrum equipment needs to be calibrated in the current detection period according to the contrast content information, the historical content information, the intersection set, the third type set and the fourth type set.
According to one embodiment of the invention, different sets of multiple substances in the environment are distinguished based on the comparison content information and the historical content information. The intersection of the first type set and the second type set represents a determination of a set of substances that co-exist in the historical content information and the contrast content information. The third type set represents a set of substances that are present in the historical content information but not present in the comparative content information. The fourth type set represents a set of substances that appear in the comparative content information but do not appear in the historical content information. And comparing the material content and the set of different data sources, and judging whether the material or the change which needs to be calibrated exists in the current detection period, so as to determine whether the equipment needs to be calibrated.
According to one embodiment of the present invention, determining whether the environmental monitoring spectroscopic apparatus needs to be calibrated in the current detection period according to the contrast content information, the historical content information, the intersection set, the third type set, and the fourth type set includes: the weighted error E of the environmental monitoring spectroscopic apparatus in the adjacent two detection periods is obtained according to equation (1),
（1）；
Wherein,For historical content information for the i-th type of material in the intersection,For the comparison content information of the i-th type of substance in the intersection,For the total number of types in the intersection,For the historical content information of the j-th type of substance in the third type set,In order to be a sensitivity error, the reference signal,For the total number of types in the third set of types,For the total number of types in the fourth set of types,For the total number of types in the fourth type set, if is a conditional function, i is less than or equal to，j≤，k≤And i, j, k,、AndAre all positive integers; and under the condition that the weighted error is greater than or equal to a preset error threshold value, determining that the environment monitoring spectrum equipment needs to be calibrated in the current detection period.
According to one embodiment of the present invention, in equation (1),The absolute values of the differences between the historical content information and the comparative content information for each type of material in the intersection are summed up.When the historical content information of the j-th type substance in the third type set is larger than the sensitivity error, the condition function value is the historical content information and the historical content information of the j-th type substance in the third type setOtherwise, the condition function value is the historical content information of the j-th type of substances in the third type set. Wherein if the historical content information of the j-th type of substances in the third type set is greater than the sensitivity error, the historical content information indicates that the environment monitoring spectrum device does not detect the j-th type of substances in the third type set in the current detection period due to the detection error, otherwise, the historical content information may not detect the j-th type of substances in the third type set due to the sensitivity error. If the historical content information of the j-th type of substance in the third type set is greater than the sensitivity error, thenThe historical content information is regulated to exclude sensitivity error interference, so that the real error of the content of the j-th type of substances in the third type set is obtained, the calculation accuracy is improved, and otherwise, the historical content information of the j-th type of substances in the third type set which is not detected by the environment monitoring spectrum equipment can be used as the real error.To add up the true errors for each type of material in the third set of types. Since the historical content information may be considered as accurate content information, the types of substances in the fourth set of types may be considered as substances that were detected only by detection errors in the environmental monitoring spectroscopy apparatus, and, therefore,In order to perform the sensitivity error interference elimination processing on the content information of each type of substance in the fourth type set, summation is performed, that is, the content information of each type of substance in the fourth type set is the substance content information which is detected by mistake due to the fact that the environment monitoring spectrum device is not suitable for the environment, so that the real error after the sensitivity error interference elimination processing can be performed on the content information of each type of substance in the fourth type set. And adding the three items to obtain the weighted errors of the environment monitoring spectrum equipment in two adjacent detection periods. If the weighted error is greater than or equal to the preset error threshold, determining that the environmental monitoring spectrum device needs to be calibrated in the current detection period.
In this way, the reasons for the existence of the substance content information and the errors in the plurality of sets based on the comparison content information and the historical content information are comprehensively considered, and the content error of each substance is determined based on the sensitivity error, so that the accuracy and the stability of the environment monitoring spectrum device are more comprehensively evaluated. The weighted error is a quantization index that measures the difference between the historical actual content and the comparison content. The weighted error is determined, so that the error degree of the environment monitoring spectrum equipment in the current detection period can be objectively reflected, whether the environment monitoring spectrum equipment is suitable for the natural environment in the current detection period is judged, and whether the environment monitoring spectrum equipment needs to be calibrated in the current detection period is accurately judged.
According to one embodiment of the present invention, in step S105, when training the content prediction model, the difference between the measured result and the actual content of the environmental monitoring spectroscopic apparatus may be compared based on a preset calibration sample, thereby adjusting and optimizing the parameters of the model. Wherein, the accurate content of various substances of the preset calibration sample is known through accurate measurement, authentication or standardization. After training, a trained content prediction model is obtained, and content information of various substances in the environmental sample can be detected more accurately. Meanwhile, the calibrated environment monitoring spectrum equipment is updated, and accurate and reliable results can be provided during measurement.
According to one embodiment of the present invention, step S105 includes: detecting sample spectrum data of the preset calibration sample through environment monitoring spectrum equipment; inputting the sample spectrum data into the content prediction model to obtain sample content information of various substances in the preset calibration sample; determining a loss function of the content prediction model according to the sample content information, the labeling information of the preset calibration sample, the comparison content information and the historical content information; training the content prediction model according to the loss function to obtain a trained content prediction model; and obtaining the calibrated environment monitoring spectrum equipment according to the trained content prediction model.
According to one embodiment of the invention, the calibration samples are samples of known substance content for training and validating the content prediction model. The loss function is used to feedback adjust the model parameters, thereby optimizing the accuracy of the model. According to the trained content prediction model, the environment monitoring spectrum equipment is calibrated, and the calibrated equipment can more accurately detect the content of substances in a sample, so that the accuracy and the reliability of the equipment are improved.
According to one embodiment of the present invention, determining the loss function of the content prediction model according to the sample content information, the labeling information of the preset calibration sample, the contrast content information, and the historical content information includes: determining a Loss function Loss of the content prediction model according to the formula (2),
（2）；
Wherein,For the set of the first type,For the set of the second type,As a union of the first type set and the second type set,For a total number of types in a union of the first type set and the second type set,Historical content information for the s-th type of substance in a union of the first type set and the second type set,For the information of the contrast content of the substance of the s-th type in the union of the first type set and the second type set,For the duration of the previous detection period,For the duration of the preset monitoring period,In order to be a sensitivity error, the reference signal,For a fifth set of types of substances contained in a predetermined calibration sample determined from the annotation information,For a sixth set of types of substances contained in a predetermined calibration sample determined from the sample content information,For the union of the fifth type set and the sixth type set,For the total number of types in the union of the fifth set of types and the sixth set of types,For the content information of the substance of the t-th type in the union of the fifth type set and the sixth type set determined according to the labeling information,Sample content information for a substance of a t-th type in a union of a fifth type set and a sixth type set,For the time interval between the last training of the content prediction model and the beginning of the current detection period,，And s and t are positive integers.
According to one embodiment of the present invention, in equation (2),The duration of the preset monitoring period may be set to 1 day, one week, etc., which is not limited by the present invention.And a ratio of an absolute value of a difference between content information of the t-th type of substances in the fifth type set and the sixth type set combined and concentrated and sample content information of the t-th type of substances in the fifth type set and the sixth type set combined and concentrated to 1 minus a sensitivity error is determined according to the labeling information. The ratio can eliminate the influence of sensitivity errors and amplify the content information difference value, thereby improving training efficiency.The ratio of the time interval between the last training of the content prediction model and the starting time of the current detection period to the duration of the preset monitoring time period is used for reasonably weighting the error of the calibration time interval in the loss function. That is, it can be considered that the content prediction model adapts the environment monitoring spectrum device to the natural environment during the previous training after the previous training, so that the accuracy of measuring the content information of various substances in the calibration sample after the previous calibration of the environment monitoring spectrum device is higher, and the error is higherThen due toThe change in the natural environment within the time period of (a) causes the environment monitoring spectroscopic apparatus to be inadaptable to the current natural environment, and thus can be weighted by the time period corresponding to the error.
According to one embodiment of the present invention, in equation (2),A ratio of an absolute value of a difference between historical content information of the s-th type of substance in the union of the first type set and the second type set and the comparative content information of the s-th type of substance in the union of the first type set and the second type set to 1 minus a sensitivity error. The ratio can eliminate the influence of sensitivity errors and amplify the content information difference value, thereby improving training efficiency.The ratio of the duration of the previous detection period to the duration of the preset monitoring period is used for reasonably weighting the error of the detection time interval in the loss function. The environment monitoring spectrum device can adapt to the natural environment in the last detection period, so that the measured historical content information is accurate, and the error is detectedThe environment monitoring spectrum device may be weighted by the time period corresponding to the error, due to the change of the natural environment during one detection period, which results in the environment monitoring spectrum device not adapting to the current natural environment.
According to one embodiment of the invention, if the calibration process of the environmental monitoring spectroscopy device has also been performed in the previous detection cycle, then=Otherwise, the device can be used to determine whether the current,＞. The two terms may be added to obtain a loss function of the content prediction model.
According to one embodiment of the invention, in the process of training the content prediction model, the loss function is reversely propagated, and some parameters in the model are adjusted, so that the value of the loss function is reduced, the accuracy and the reliability of the content prediction model are improved, the trained content prediction model is obtained, and further, the calibrated environment monitoring spectrum equipment is obtained.
In this way, in the determining process of the loss function, the measuring error of the calibration sample can be weighted through the period of natural environment change corresponding to the measuring error of the calibration sample, and the error of the historical content information in the comparison content information can be weighted through the period of natural environment change corresponding to the historical content information, so that the cause of the error can be accurately determined, the error can be pertinently reduced through training, and the accuracy of the content prediction model can be improved.
According to one embodiment of the present invention, in step S106, it is known whether the environmental monitoring device is adapted to environmental changes according to the comparison content information and the history content information of the environmental sample at the beginning of the previous detection period. The environment monitoring equipment adapting to the environment change detects an environment sample at the beginning time of the current detection period, and can observe the actual condition of the content of substances in the environment, thereby determining the duration of the current detection period. That is, if the content of a substance in the environment is found to change more or fluctuate more frequently than in the previous detection period, it may be necessary to shorten the detection period in order to monitor the change in the environment more timely. Conversely, if the content of the substance in the environment changes less or stabilizes, a longer detection period may be selected.
According to one embodiment of the present invention, step S106 includes: obtaining measured content information of various substances in an environmental sample at the beginning time of a current detection period through calibrated environmental monitoring spectrum equipment; determining a material content change coefficient according to the measured content information and the historical content information; determining an environmental impact coefficient according to the contrast content information and the historical content information; and determining the duration of the current detection period according to the substance content change coefficient and the environment influence coefficient.
According to one embodiment of the invention, the measured content information and the historical content information are measured using an environmentally adapted spectroscopic device, i.e. both content information are accurate. The obtained change coefficient of the substance content can describe the change trend of the substance content between different time points, so that the change condition of the substance in the environment can be known. The contrast content information is measured by the spectroscopic apparatus prior to calibration such that the difference between the contrast content information and the historical content information is representative of the effect of environmental factors on the spectroscopic apparatus. The environmental influence coefficient obtained by the method can measure the change condition of the content of the substances measured by the spectrum equipment due to environmental factors, and further reflect the change condition of the environment. By considering the change trend of the material content and the influence of environmental factors on the duration of the previous detection period, the duration of the current detection period can be determined, and the detection period can be properly shortened if the material content is changed or the environment is changed greatly, so that the environment with the quicker change can be detected more frequently, otherwise, the detection period can be properly increased, so that the detection times of the environment with the slower change can be reduced, and the calculation force occupation can be reduced.
According to one embodiment of the invention, determining the duration of the current detection period from the substance content variation coefficient and the environmental impact coefficient comprises: determining the duration of the current detection period according to equation (3)，
（3）；
Wherein,For the coefficient of influence of the environment,For the coefficient of variation of the content of the substance,For the set of the first type,For the set of the second type,As a union of the first type set and the second type set,For a total number of types in a union of the first type set and the second type set,Historical content information for the s-th type of substance in a union of the first type set and the second type set,For the information of the contrast content of the substance of the s-th type in the union of the first type set and the second type set,For the duration of the previous detection period,For a seventh set of types of the plurality of substances corresponding to the measured content information,For the union of the first type set and the seventh type set,For a total number of types in the union of the first set of types and the seventh set of types,Historical content information for the s-th type of material in the union of the first type set and the seventh type set,Measured content information of the s-th type of substance in the union of the first type set and the seventh type set,，And s and h are positive integers.
In accordance with one embodiment of the present invention,When the historical content information of the s-th type of substances in the union of the first type set and the second type set is not equal to 0, the condition function value is the historical content information of the s-th type of substances in the union of the first type set and the second type set, otherwise, the condition function value is the contrast content information of the s-th type of substances in the union of the first type set and the second type set.A relative difference between the historical content information representing the substance of the s-th type in the union of the first type set and the second type set and the comparative content information of the substance of the s-th type in the union of the first type set and the second type set. According to the difference degree of the historical content change and the contrast content, the environmental factors are considered to influence the material content change condition measured by the spectrum equipment, so that the environment change condition can be reflected, namely, the larger the natural environment change is, the larger the relative difference value is.The average value of the relative difference, i.e., the environmental impact coefficient, is represented. The larger the value, the larger the influence of the change of the environment on the detection result of the substance content is, the larger the change of the environment is reflected.
In accordance with one embodiment of the present invention,When the historical content information of the substance of the h type in the union of the first type set and the seventh type set is not equal to 0, the condition function value is the historical content information of the substance of the s type in the union of the first type set and the seventh type set, otherwise, the condition function value is the actual measurement content information of the substance of the s type in the union of the first type set and the seventh type set.The historical content information representing the h-th type of material in the union of the first and seventh type sets is a relative difference from the measured content information of the h-th type of material in the union of the first and seventh type sets. The value can reflect the change condition of the content of the substances in the environment in a detection period according to the difference degree of the historical content change and the actually measured content.The average value of the relative difference, i.e., the substance content variation coefficient, is represented. The larger the value, the larger the change in the content of the substance in one detection period.
According to one embodiment of the present invention, in equation (3),The two terms are multiplied together to represent the total change of the content of the substance and the environment.Multiplying the overall change by the duration of the previous detection period may represent the magnitude of the change in duration of the current detection period relative to the duration of the previous detection period under the influence of the overall change.Indicating that the total change of the content of the substance is greater than or equal toAnd if not, the condition function value is a negative value of the variation amplitude.Indicating that if the total variation of the content of the substance is greater than or equal toThe duration of the current detection period will be subtracted by the value of the ratio of the change, i.e. in case of a large overall change the duration of the current detection period may be shortened with respect to the duration of the previous detection period by the above-mentioned magnitude of the change. If the total variation of the content of the substance is smaller thanThe duration of the current detection period will be added to the value of the ratio of the change (taking a negative value), i.e. in case the overall change is small, the duration of the current detection period may increase with respect to the duration of the previous detection period by the above-mentioned magnitude of change.
In this way, the duration of the current detection period can be adjusted according to the environmental impact coefficient and the substance content variation coefficient to reflect the overall variation of the environmental variation and the substance content variation. If the overall change condition is large, the duration of the detection period can be shortened, the changed environment can be detected at a higher frequency, and the detection accuracy and the real-time performance are improved. Conversely, if the overall change is small, the duration of the detection period is increased to save effort. The duration of the detection period is adjusted according to the actual situation, so that the detection is more adaptive, flexible and economical, and the accuracy and efficiency of the detection are improved.
According to one embodiment of the present invention, after the content prediction model of the environmental monitoring spectrum device is trained in step S107, a calibrated environmental monitoring spectrum device may be obtained, which may have been adjusted and optimized, and may provide accurate and reliable results during the measurement. And according to the determined duration of the current detection period, environment monitoring is carried out within the period of time, and the accuracy of content information of various substances detected at the moment is higher.
In step S108, the environmental sample at the beginning of the previous detection period is typically reserved for subsequent analysis and comparison during environmental monitoring, according to one embodiment of the present invention. However, after the current detection cycle is compared using the sample, it can be moved to the area to be recovered. The area to be recovered is a designated area or container for temporarily storing samples for which environmental monitoring has been completed. Recovery typically involves appropriate disposal and handling measures so that the various materials in the sample do not pollute or harm the environment.
According to the environment monitoring equipment calibration method provided by the embodiment of the invention, the comparison content information obtained by detecting the environment sample in the previous detection period and the historical content information detected in the previous detection period are compared to judge whether the natural environment where the environment monitoring spectrum equipment is located changes in one detection period, and if the environment monitoring spectrum equipment is no longer suitable for the natural environment, the content prediction model can be trained by the calibration sample, so that the accuracy of the content prediction model is improved, and the accuracy and the reliability of environment monitoring data are improved. The calibrated environment monitoring spectrum equipment can improve the accuracy in the working process and correct the deviation in time. By judging whether the environment monitoring spectrum equipment is suitable for the natural environment or not and determining the duration of the detection period, the use of resources and equipment can be reasonably arranged, and the waste of operation resources is reduced. The sample can be properly disposed of by recycling treatment, so that environmental pollution is reduced. When judging whether the environment monitoring spectrum equipment needs calibration, comprehensively considering the substance content information in various sets based on the comparison content information and the historical content information and the reasons for the existence of errors, and determining the content error of each substance based on the sensitivity error, thereby more comprehensively evaluating the accuracy and the stability of the environment monitoring spectrum equipment. The weighted error is a quantization index that measures the difference between the historical actual content and the comparison content. The weighted error is determined, so that the error degree of the environment monitoring spectrum equipment in the current detection period can be objectively reflected, whether the environment monitoring spectrum equipment is suitable for the natural environment in the current detection period is judged, and whether the environment monitoring spectrum equipment needs to be calibrated in the current detection period is accurately judged. When the content prediction model is trained, the measurement error of the calibration sample can be weighted through the period of natural environment change corresponding to the measurement error of the calibration sample in the determining process of the loss function, and the error of the historical content information in the comparison content information is weighted through the period of natural environment change corresponding to the historical content information, so that the cause of the error is accurately determined, the error is pertinently reduced through training, and the accuracy of the content prediction model is improved. When the duration of the current detection period is determined, the duration of the current detection period can be adjusted according to the environmental influence coefficient and the substance content change coefficient so as to reflect the overall change condition of environmental change and substance content change. If the overall change condition is large, the duration of the detection period can be shortened, the changed environment can be detected at a higher frequency, and the detection accuracy and the real-time performance are improved. Conversely, if the overall change is small, the duration of the detection period is increased to save effort. The duration of the detection period is adjusted according to the actual situation, so that the detection is more adaptive, flexible and economical, and the accuracy and efficiency of the detection are improved.
FIG. 2 schematically illustrates a block diagram of an environmental monitoring device calibration system, according to an embodiment of the invention, the system comprising:
The environment sample module is used for collecting and storing environment samples at the starting time of the current detection period;
The historical content information module is used for acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period;
the contrast content information module is used for detecting an environmental sample at the beginning time of a previous detection period through environmental monitoring spectrum equipment to obtain contrast spectrum data, and inputting the contrast spectrum data into a content prediction model to obtain contrast content information of various substances;
Whether a calibration module is needed or not is used for determining whether the environment monitoring spectrum equipment needs to be calibrated in the current detection period according to the comparison content information and the historical content information;
the prediction model and spectrum equipment module is used for training the content prediction model according to the comparison content information, the historical content information and a preset calibration sample if the environment monitoring spectrum equipment needs to be calibrated in the current detection period, so as to obtain a trained content prediction model and calibrated environment monitoring spectrum equipment;
The duration module is used for determining the duration of the current detection period according to the comparison content information, the historical content information and the environmental sample at the starting time of the current detection period;
The environment monitoring module is used for carrying out environment monitoring in the current detection period according to the calibrated environment monitoring spectrum equipment, the trained content prediction model and the duration of the current detection period;
and the recovery module is used for moving the environmental sample at the beginning time of the previous detection period to the region to be recovered and recovering the environmental sample.
According to one embodiment of the present invention, there is provided an environmental monitoring device calibration device including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored by the memory to perform the environmental monitoring device calibration method.
According to one embodiment of the present invention, a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the environmental monitoring device calibration method is provided.
The present invention may be a method, apparatus, system, and/or computer program product. The computer program product may include a computer readable storage medium having computer readable program instructions embodied thereon for performing various aspects of the present invention.
It will be appreciated by persons skilled in the art that the embodiments of the invention described above and shown in the drawings are by way of example only and are not limiting. The objects of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been shown and described in the examples and embodiments of the invention may be modified or practiced without departing from the principles described.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. A method of calibrating an environmental monitoring device, comprising:
Collecting and storing an environmental sample at the beginning time of the current detection period;
acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period;
Detecting an environmental sample at the beginning time of a previous detection period through environmental monitoring spectrum equipment to obtain contrast spectrum data, and inputting the contrast spectrum data into a content prediction model to obtain contrast content information of various substances;
determining whether the environmental monitoring spectrum equipment needs to be calibrated in the current detection period according to the comparison content information and the historical content information;
if the environment monitoring spectrum equipment needs to be calibrated in the current detection period, training the content prediction model according to the comparison content information, the historical content information and a preset calibration sample to obtain a trained content prediction model and calibrated environment monitoring spectrum equipment;
Determining the duration of the current detection period according to the contrast content information, the historical content information and an environmental sample at the starting time of the current detection period;
Performing environmental monitoring in the current detection period according to the calibrated environmental monitoring spectrum equipment, the trained content prediction model and the duration of the current detection period;
and moving the environmental sample at the beginning time of the previous detection period to a region to be recovered, and recovering.
2. The method of calibrating an environmental monitoring device according to claim 1, wherein determining whether the environmental monitoring spectroscopic device needs to be calibrated in a current detection period based on the comparative content information and the historical content information comprises:
Determining a first type set of a plurality of substances corresponding to the historical content information and a second type set of a plurality of substances corresponding to the comparative content information according to the comparative content information and the historical content information;
determining an intersection of the first type set and the second type set;
determining a third set of types included in the first set of types but not included in the intersection;
determining a fourth set of types that are included in the second set of types but not in the intersection;
and determining whether the environmental monitoring spectrum equipment needs to be calibrated in the current detection period according to the contrast content information, the historical content information, the intersection set, the third type set and the fourth type set.
3. The method of calibrating an environmental monitoring device according to claim 2, wherein determining whether the environmental monitoring spectroscopic device requires calibration in a current detection cycle based on the contrast content information, the historical content information, the intersection, the third set of types, and the fourth set of types, comprises:
According to the formula
；
A weighted error E of the ambient monitoring spectroscopic apparatus in two adjacent detection periods is obtained, wherein,For historical content information for the i-th type of material in the intersection,For the comparison content information of the i-th type of substance in the intersection,For the total number of types in the intersection,For the historical content information of the j-th type of substance in the third type set,In order to be a sensitivity error, the reference signal,For the total number of types in the third set of types,For the total number of types in the fourth set of types,For the total number of types in the fourth type set, if is a conditional function, i is less than or equal to，j≤，k≤And i, j, k,、AndAre all positive integers;
And under the condition that the weighted error is greater than or equal to a preset error threshold value, determining that the environment monitoring spectrum equipment needs to be calibrated in the current detection period.
4. The method according to claim 2, wherein if the environmental monitoring spectrum device needs to be calibrated in the current detection period, training the content prediction model according to the comparative content information, the historical content information and a preset calibration sample to obtain a trained content prediction model and a calibrated environmental monitoring spectrum device, comprising:
detecting sample spectrum data of the preset calibration sample through environment monitoring spectrum equipment;
Inputting the sample spectrum data into the content prediction model to obtain sample content information of various substances in the preset calibration sample;
determining a loss function of the content prediction model according to the sample content information, the labeling information of the preset calibration sample, the comparison content information and the historical content information;
training the content prediction model according to the loss function to obtain a trained content prediction model;
And obtaining the calibrated environment monitoring spectrum equipment according to the trained content prediction model.
5. The method of claim 4, wherein determining the loss function of the content prediction model based on the sample content information, the labeling information of the preset calibration sample, the contrast content information, and the historical content information comprises:
According to the formula
；
Determining a Loss function Loss of the content prediction model, wherein,For the set of the first type,For the set of the second type,As a union of the first type set and the second type set,For a total number of types in a union of the first type set and the second type set,Historical content information for the s-th type of substance in a union of the first type set and the second type set,For the information of the contrast content of the substance of the s-th type in the union of the first type set and the second type set,For the duration of the previous detection period,For the duration of the preset monitoring period,In order to be a sensitivity error, the reference signal,For a fifth set of types of substances contained in a predetermined calibration sample determined from the annotation information,For a sixth set of types of substances contained in a predetermined calibration sample determined from the sample content information,For the union of the fifth type set and the sixth type set,For the total number of types in the union of the fifth set of types and the sixth set of types,For the content information of the substance of the t-th type in the union of the fifth type set and the sixth type set determined according to the labeling information,Sample content information for a substance of a t-th type in a union of a fifth type set and a sixth type set,For the time interval between the last training of the content prediction model and the beginning of the current detection period,，And s and t are positive integers.
6. The environmental monitoring device calibration method of claim 2, wherein determining the duration of the current detection period based on the contrast content information, the historical content information, and environmental samples at the start of the current detection period comprises:
Obtaining measured content information of various substances in an environmental sample at the beginning time of a current detection period through calibrated environmental monitoring spectrum equipment;
Determining a material content change coefficient according to the measured content information and the historical content information;
Determining an environmental impact coefficient according to the contrast content information and the historical content information;
And determining the duration of the current detection period according to the substance content change coefficient and the environment influence coefficient.
7. The environmental monitoring device calibration method of claim 6 wherein determining the duration of the current detection period based on the substance content variation coefficient and the environmental impact coefficient comprises:
According to the formula
；
Determining duration of current detection periodWherein, the method comprises the steps of, wherein,For the coefficient of influence of the environment,For the coefficient of variation of the content of the substance,For the set of the first type,For the set of the second type,As a union of the first type set and the second type set,For a total number of types in a union of the first type set and the second type set,Historical content information for the s-th type of substance in a union of the first type set and the second type set,For the information of the contrast content of the substance of the s-th type in the union of the first type set and the second type set,For the duration of the previous detection period,For a seventh set of types of the plurality of substances corresponding to the measured content information,For the union of the first type set and the seventh type set,For a total number of types in the union of the first set of types and the seventh set of types,Historical content information for the s-th type of material in the union of the first type set and the seventh type set,Measured content information of the s-th type of substance in the union of the first type set and the seventh type set,，And s and h are positive integers.
8. An environmental monitoring device calibration system, comprising:
The environment sample module is used for collecting and storing environment samples at the starting time of the current detection period;
The historical content information module is used for acquiring historical content information of various substances in an environmental sample at the beginning time of a previous detection period;
the contrast content information module is used for detecting an environmental sample at the beginning time of a previous detection period through environmental monitoring spectrum equipment to obtain contrast spectrum data, and inputting the contrast spectrum data into a content prediction model to obtain contrast content information of various substances;
Whether a calibration module is needed or not is used for determining whether the environment monitoring spectrum equipment needs to be calibrated in the current detection period according to the comparison content information and the historical content information;
the prediction model and spectrum equipment module is used for training the content prediction model according to the comparison content information, the historical content information and a preset calibration sample if the environment monitoring spectrum equipment needs to be calibrated in the current detection period, so as to obtain a trained content prediction model and calibrated environment monitoring spectrum equipment;
The duration module is used for determining the duration of the current detection period according to the comparison content information, the historical content information and the environmental sample at the starting time of the current detection period;
The environment monitoring module is used for carrying out environment monitoring in the current detection period according to the calibrated environment monitoring spectrum equipment, the trained content prediction model and the duration of the current detection period;
and the recovery module is used for moving the environmental sample at the beginning time of the previous detection period to the region to be recovered and recovering the environmental sample.
9. An environmental monitoring device calibration device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke the instructions stored in the memory to perform the method of any of claims 1-7.
10. A computer readable storage medium, having stored thereon computer program instructions which, when executed by a processor, implement the method of any of claims 1-7.
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| CN111414586A (en) * | 2020-03-31 | 2020-07-14 | 北京派得伟业科技发展有限公司 | Environment monitoring method and system |
| CN113138865A (en) * | 2020-08-10 | 2021-07-20 | 西安天和防务技术股份有限公司 | Environment monitoring method, system, platform and storage medium |
| WO2022257267A1 (en) * | 2021-06-07 | 2022-12-15 | 维谛技术(西安)有限公司 | Cluster control method and apparatus for environmental parameter control devices, and device and storage medium |
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