CN113075180A - Method and system for detecting change trend of fluorescence data - Google Patents
Method and system for detecting change trend of fluorescence data Download PDFInfo
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Abstract
A method and a system for detecting the change trend of fluorescence data comprise the following steps: step 1: receiving and storing fluorescence data into a buffer area; step 2: carrying out median filtering and 4-point mean filtering on the cached fluorescence data, and then covering and storing; and step 3: preprocessing fluorescence data, and acquiring a trend judgment threshold value; and 4, step 4: performing trend detection on the fluorescence data stored after the processing in the step 2 in an initial state; and 5: when the fluorescence data in the current process has a trend, whether the subsequent fluorescence data conforms to the trend needs to be continuously detected. According to the invention, through researching the difference of initial specific reactions of multi-channel data to non-explosives and explosives, the most easily-appearing state of the non-explosives and strong positive explosives in security inspection can be rapidly judged, so that the speed of single detection is greatly improved, but the premise is that the change trend of fluorescence data in a short period of time is obtained.
Description
Technical Field
The invention belongs to the technical field of data detection, and particularly relates to a method and a system for detecting a change trend of fluorescence data.
Background
The new-generation fluorescent explosive detector based on fluorescent conjugated polymer photochemical sensing has the advantages of high sensitivity, portability, short starting time and the like, and is suitable for the security inspection and the border clearance security inspection of public transportation personnel gathering places such as airport security inspection, high-speed rail security inspection, passenger wharf security inspection and the like and large-scale activity places.
The existing portable fluorescent explosive detector processes the collected fluorescent data mainly by setting detection time, calculating the change of the fluorescent data in the detection time before formal detection, repeating the step until the change does not meet detection conditions, calculating the change of a fluorescent value in real time after actual detection steps, giving an alarm when the change meets the conditions, and displaying safety when the unsatisfied conditions are required to wait until the detection time is over. The existing fluorescence data processing mode is simple and direct, and has the problems that the high sensitivity is ensured and the function of rapid alarm when explosives are detected is ensured, the stable waiting time of fluorescence data to be tested needs to be waited, and the detection result is only output when the detection time is waited to be ended in the blank detection process without the explosives. To solve this problem, improvements in methods for analyzing fluorescence data are required. The portability of fluorescent explosives detectors limits the space of the whole equipment to be difficult to embed into a high-computation embedded platform, and the requirement that the detection response time of the equipment be as short as possible requires that the analysis of data be completed as quickly as possible.
Disclosure of Invention
The invention aims to provide a method for detecting the change trend of fluorescence data so as to solve the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for detecting the change trend of fluorescence data comprises the following steps:
step 1: receiving and storing fluorescence data into a buffer area;
step 2: carrying out median filtering and 4-point mean filtering on the cached fluorescence data, and then covering and storing;
and step 3: preprocessing fluorescence data, and acquiring a trend judgment threshold value;
and 4, step 4: performing trend detection on the fluorescence data stored after the processing in the step 2 in an initial state;
and 5: when the fluorescence data in the current process has a trend, whether the subsequent fluorescence data conforms to the trend needs to be continuously detected.
Further, step 2 includes removing noise during the fluorescent data acquisition process and smoothing the curve.
Further, the first element of the fluorescence data in the step 3 is M, and a trend judgment threshold value T is obtained according to a formula; and T is M/1000.
Further, in step 4, sequentially obtaining a difference value between each fluorescence data and the first element data in a set detection interval, wherein if the difference value is greater than a rising threshold value, the initial state is marked as rising, and if the difference value is less than a falling threshold value, the initial state is marked as rising; if the difference value does not exceed the threshold value in the detection area, the initial state is recorded as a gentle state; recording the starting point number and the ending point number of the trend while recording the variation trend; while preserving the maximum and minimum values within the trend.
Further, in step 5, when the trend is gentle, it is continuously detected whether the difference value of the latest data in the detection area is still smaller than the threshold value, if the latest value is larger than the initial value of the array in the detection area and the difference value is larger than the threshold value, the latest trend is an ascending trend, and if the latest value is smaller than the initial value of the array in the detection area and the difference value is larger than the threshold value, the latest trend is a descending trend.
Further, in step 5, during the rising trend, continuously detecting whether the latest data is larger than the maximum value of the trend state, if so, updating the maximum value of the state to the current value and updating the end point number of the state to the current point number; if the number of the continuous detection range points is not refreshed to the maximum value, is smaller than the initial value and the difference value is larger than the value of the threshold value, the change trend is stored as a descending trend, and the initial number of the trend is the initial point of the current detection interval; if the number of the continuous detection range points is not refreshed to the maximum value and the difference value between the number of the continuous detection range points and the initial value does not meet the requirement of the threshold value, the change trend is changed into a gentle trend, and the initial number of the trend is the initial point of the current detection interval.
Further, in step 5, when the trend is down, continuously detecting whether the latest data is smaller than the minimum value of the trend state, if so, updating the minimum value of the state to the current value and updating the end point number of the state to the current point number; if the minimum value is not refreshed in the points of the continuous detection range, the minimum value is larger than the initial value and the difference value is larger than the threshold value, the latest change trend is updated and stored as an ascending trend, and the initial points of the trend are the initial points of the detection interval; if the minimum value is not refreshed in the number of points in the continuous detection range and the difference value between the minimum value and the initial value does not meet the requirement of the threshold value, the change trend is changed into a gentle trend, and the initial point number of the trend is the initial point of the current detection interval.
Further, a system for detecting a trend of fluorescence data includes:
the fluorescence data storage module is used for receiving and storing the fluorescence data into a cache region;
the median filtering module is used for performing median filtering and 4-point mean filtering on the cached fluorescence data and then performing covering storage;
the preprocessing module is used for preprocessing fluorescence data: firstly, obtaining a trend judgment threshold;
the trend detection module is used for performing trend detection on the processed and stored fluorescence data in an initial state;
the change trend judgment module is used for continuously detecting whether the subsequent fluorescence data conforms to the change trend when the fluorescence data in the current processing has changed trend.
Compared with the prior art, the invention has the following technical effects:
the continuous fluorescence data acquired in a period of time by the method is a string of data with time correlation, the change trend of the continuous fluorescence data is linear under the condition that the continuous fluorescence data is not influenced by substances such as explosives and the like, and the change trend of the fluorescence data in the period of time can be obtained to judge whether the continuous fluorescence data is suitable for detection. By researching the difference of initial specific reactions of multi-channel data to non-explosives and explosives, the most easily-appearing state of the non-explosives and strong positive explosives in the two types of security check can be rapidly judged, so that the speed of single detection is greatly improved, but the premise is that the change trend of fluorescence data in a short period of time is obtained; the invention can enable the mcu to consume extremely small computing resources on a platform with weaker computing power, so that the change trend and the change quantity of the fluorescence data of a plurality of channels collected within ten seconds can be analyzed, whether the fluorescence data is in a stable state or not can be judged more quickly in the detection preparation process, the actual measurement stage can be started more quickly, the process of judging non-explosives and strong positive explosives can be completed quickly by combining the specific reaction data obtained by research in the formal detection stage, and the detection speed of the fluorescence explosive detector is greatly improved.
Drawings
FIG. 1 is a flow chart showing no variation tendency according to the present invention.
FIG. 2 is a flow chart of the gentle trend of the present invention.
FIG. 3 is a flow chart of the ascending trend of the present invention.
FIG. 4 is a flow chart of the downward trend of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
since the collected fluorescence data is collected at a point dispersed in a numerical range, the trend of the collected fluorescence data is not judged by the change of the value between two points, and a point range (for example, a trend of 10 points, and a trend of 10 points is larger than a value of 1 st point to a certain extent, namely, an ascending trend) with a reasonable trend and an absolute value (for example, a change threshold value is set to be 500, and a value of 10 points is smaller than a value of the first point by 600, namely, a descending trend) with a reasonable trend are given. Otherwise the resulting trend of change will be meaningless.
A method for detecting the change trend of fluorescence data comprises the following steps:
step 1: fluorescence data is received and stored in a buffer.
Step 2: and performing median filtering and 4-point mean filtering on the cached fluorescence data, and then covering and storing the fluorescence data, removing noise points in the acquisition process and smoothing curves, thereby facilitating the subsequent data processing. Also included is removing noise during fluorescence data acquisition and smoothing the curve.
And step 3: and (4) preprocessing fluorescence data, and acquiring a trend judgment threshold value. The fluorescence data under normal working conditions obtained by experiments are controlled to be approximately 100W, minimum 50W and maximum 300W, the maximum up-down jitter value when the fluorescence data is measured to be 100W is about 500, the jitter range when the fluorescence data is 300W is about 1500, the threshold value in the detection point number range is preferably set to be slightly larger, and 2 times of the jitter value is taken as a proper selection. The first element of the fluorescence data is M, and the trend judgment threshold value T is obtained according to a formula. T is M/1000;
and 4, step 4: and (3) performing trend detection on the fluorescence data stored after being processed in the step (2) in an initial state, sequentially solving the difference value between each fluorescence data and the first element data in a set detection interval, and if the difference value is greater than an ascending threshold value, recording that the initial state is ascending, and if the difference value is smaller than a descending threshold value, recording that the initial state is ascending. If the difference value does not exceed the threshold value in the detection area, the initial state is a gentle state. At the same time of recording the variation trend, the starting point and the ending point of the trend should be recorded at the same time. While the maximum and minimum values within the trend should also be preserved.
And 5: when the fluorescence data in the current process has a trend, whether the subsequent fluorescence data conforms to the trend needs to be continuously detected.
The continuous fluorescence data collected in a period of time is a string of data with time correlation, the change trend of the continuous fluorescence data is linear under the condition of not being influenced by substances such as explosives, and the change trend of the fluorescence data in the period of time can be obtained to judge whether the continuous fluorescence data is suitable for detection. By researching the difference of initial specific reactions of multi-channel data to non-explosives and explosives, the most easily-appearing state of the non-explosives and strong positive explosives in the security check can be rapidly judged, so that the speed of single detection is greatly improved.
The invention can enable the mcu to consume extremely small computing resources on a platform with weaker computing power, so that the change trend and the change quantity of the fluorescence data of a plurality of channels collected within ten seconds can be analyzed, whether the fluorescence data is in a stable state or not can be judged more quickly in the detection preparation process, the actual measurement stage can be started more quickly, the process of judging non-explosives and strong positive explosives can be completed quickly by combining the specific reaction data obtained by research in the formal detection stage, and the detection speed of the fluorescence explosive detector is greatly improved.
And when the trend is gentle, continuously detecting whether the difference value of the latest data in the detection area is still smaller than the threshold value, if the latest value is larger than the initial value of the array in the detection area and the difference value is larger than the threshold value, the latest trend is an ascending trend, and if the latest value is smaller than the initial value of the array in the detection area and the difference value is larger than the threshold value, the latest trend is a descending trend.
And when the trend is raised, continuously detecting whether the latest data is larger than the maximum value of the trend state, if so, updating the maximum value of the state to the current value and updating the end point number of the state to the current point number. If the number of the continuous detection range points is not refreshed to the maximum value, is smaller than the initial value and the difference value is larger than the numerical value of the threshold value (descending condition), the change trend is stored as the descending trend, and the trend starting point number is the starting point of the current detection interval. If the number of the continuous detection range points is not refreshed to the maximum value and the difference value between the number of the continuous detection range points and the initial value does not meet the requirement of the threshold value, the change trend is changed into a gentle trend, and the initial number of the trend is the initial point of the current detection interval.
And when the trend is downward, continuously detecting whether the latest data is smaller than the minimum value of the trend state, if so, updating the minimum value of the state to the current value and updating the end point number of the state to the current point number. If the minimum value is not refreshed in the points of the continuous detection range, the minimum value is larger than the initial value and the difference value is larger than the threshold value (ascending condition), the latest change trend is updated and stored as the ascending trend, and the initial points of the trend are the initial points of the detection interval. If the minimum value is not refreshed in the number of points in the continuous detection range and the difference value between the minimum value and the initial value does not meet the requirement of the threshold value (the situation is gentle), the change trend is changed into a gentle trend, and the initial point number of the trend is the initial point of the current detection interval.
Examples
As shown in fig. 2, when the current trend is a gentle trend;
setting a threshold m, continuously detecting whether the difference value of the latest data in the detection area is still less than the threshold m, and if so, determining that the latest value Z is less than the threshold mnewGreater than the initial value Z of the array in the detection rangebegAnd if the latest value is smaller than the initial value of the array in the detection range and the difference value is larger than the threshold value, the latest trend is a descending trend. The concrete expression is as follows:
Znew＞Zbeg，Znew-Zbeg＞m
as shown in fig. 3, when the current trend is an ascending trend;
and continuously detecting whether the latest data is larger than the maximum value of the trend state, if so, updating the maximum value of the state to the current value and updating the end point number of the state to the current point number. If the number of the continuous detection range points is not refreshed to the maximum value, the maximum value is less than the initial value ZbegAnd the difference value is larger than the numerical value (descending condition) of the threshold value m, the change trend is stored as a descending trend, and the starting point number of the trend is the starting point of the current detection interval. The concrete expression is as follows:
number of continuous detection range points < ZbegNumber of continuous detection range points-Zbeg＞m
If the number of points in the continuous detection range is not refreshed to the maximum value, and is compared with the initial value ZbegIf the difference value does not meet the requirement of the threshold value, the change trend is changed into a gentle trend, and the starting point number of the trend is the starting point of the current detection interval.
As shown in fig. 4, when the current trend is a downward trend;
and continuously detecting whether the latest data is smaller than the minimum value of the trend state, if so, updating the minimum value of the state to the current value and updating the end point number of the state to the current point number. If the minimum value is not refreshed within the number of points in the continuous detection range, the minimum value is larger than the initial value ZbegAnd the difference value is larger than the threshold value m (ascending situation), the latest change trend is updated and stored as the ascending trend, and the starting point number of the trend is the starting point of the detection interval.
Number of continuous detection range points > ZbegNumber of continuous detection range points-Zbeg＞m
If the minimum value is not refreshed in the number of points in the continuous detection range and the difference value between the minimum value and the initial value does not meet the requirement of the threshold value (the situation is gentle), the change trend is changed into a gentle trend, and the initial point number of the trend is the initial point of the current detection interval.
Claims (8)
1. A method for detecting the change trend of fluorescence data is characterized by comprising the following steps:
step 1: receiving and storing fluorescence data into a buffer area;
step 2: carrying out median filtering and 4-point mean filtering on the cached fluorescence data, and then covering and storing;
and step 3: fluorescence data preprocessing: firstly, obtaining a trend judgment threshold;
and 4, step 4: performing trend detection on the fluorescence data stored after the processing in the step 2 in an initial state;
and 5: when the fluorescence data in the current process has a trend, whether the subsequent fluorescence data conforms to the trend needs to be continuously detected.
2. The method of claim 1, wherein step 2 further comprises removing noise and smoothing the curve during the fluorescent data acquisition process.
3. The method for detecting the variation trend of fluorescence data according to claim 1, wherein the first element of the fluorescence data in step 3 is M, and a trend determination threshold T is obtained according to a formula; and T is M/1000.
4. The method according to claim 1, wherein in step 4, the difference between each fluorescence data and the first element data is sequentially obtained within a set detection interval, and if the difference is greater than a rising threshold, the initial state is marked as rising, and if the difference is less than a falling threshold, the initial state is marked as rising; if the difference value does not exceed the threshold value in the detection area, the initial state is recorded as a gentle state; recording the starting point number and the ending point number of the trend while recording the variation trend; while preserving the maximum and minimum values within the trend.
5. The method as claimed in claim 1, wherein in step 5, during the gradual trend, the latest data is continuously detected whether the difference value in the detection area is still smaller than the threshold value, if the latest value is larger than the initial value of the array in the detection area and the difference value is larger than the threshold value, the latest trend is an upward trend, and if the latest value is smaller than the initial value of the array in the detection area and the difference value is larger than the threshold value, the latest trend is a downward trend.
6. The method for detecting a change trend of fluorescence data according to claim 1, wherein in step 5, during the rising trend, it is continuously detected whether the latest data is larger than the maximum value of the trend state, if yes, the maximum value of the state is updated to the current value and the number of end points of the state is updated to the current number; if the number of the continuous detection range points is not refreshed to the maximum value, is smaller than the initial value and the difference value is larger than the value of the threshold value, the change trend is stored as a descending trend, and the initial number of the trend is the initial point of the current detection interval; if the number of the continuous detection range points is not refreshed to the maximum value and the difference value between the number of the continuous detection range points and the initial value does not meet the requirement of the threshold value, the change trend is changed into a gentle trend, and the initial number of the trend is the initial point of the current detection interval.
7. The method for detecting a variation trend of fluorescence data according to claim 1, wherein in step 5, in case of a downward trend, it is continuously detected whether the latest data is smaller than the minimum value of the trend state, if so, the minimum value of the state is updated to the current value and the number of end points of the state is updated to the current number; if the minimum value is not refreshed in the points of the continuous detection range, the minimum value is larger than the initial value and the difference value is larger than the threshold value, the latest change trend is updated and stored as an ascending trend, and the initial points of the trend are the initial points of the detection interval; if the minimum value is not refreshed in the number of points in the continuous detection range and the difference value between the minimum value and the initial value does not meet the requirement of the threshold value, the change trend is changed into a gentle trend, and the initial point number of the trend is the initial point of the current detection interval.
8. A system for detecting a trend in fluorescence data, comprising:
the fluorescence data storage module is used for receiving and storing the fluorescence data into a cache region;
the median filtering module is used for performing median filtering and 4-point mean filtering on the cached fluorescence data and then performing covering storage;
the preprocessing module is used for preprocessing fluorescence data: firstly, obtaining a trend judgment threshold;
the trend detection module is used for performing trend detection on the processed and stored fluorescence data in an initial state;
the change trend judgment module is used for continuously detecting whether the subsequent fluorescence data conforms to the change trend when the fluorescence data in the current processing has changed trend.
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| CN115987727A (en) * | 2023-03-21 | 2023-04-18 | 荣耀终端有限公司 | Signal transmission method and device |
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