CN103869053A - Regional geochemical survey sample analysis and abnormal point sampling inspection method - Google Patents

Abstract

The invention discloses a regional geochemical survey sample analysis and abnormal point sampling inspection method which mainly solves the problems that an abnormal point selected by a sampling inspection method in the prior art is lack of representativeness and the purpose of monitoring the analysis quality of the whole batch is not actually achieved. The regional geochemical survey sample analysis and abnormal point sampling inspection method comprises the following steps: calculating an expected number of a measurement value of a point, close to m, of a sample; calculating a residual error Yi of a measurement value xi of the sample, which deviates from an expected value omega i according to the measurement value xi of the sample and an expected value omega of the measurement value of a point close to the sample; calculating a relative deviation value of the sample, which deviates from the expected value, according to the expected value omega i and the residual error Yi in the step; sequentially sequencing according to a relative deviation value Zi; and performing sampling inspection on sequenced data according to a ratio or fixed quantity. By adopting the scheme, the regional geochemical survey sample analysis and abnormal point sampling inspection method has the advantages that errors in a monitoring and analyzing process are reliably and completely detected, the detection leak in the field is eliminated, the actual demand purpose is fulfilled, and high practical value and popularization value are achieved.

Description

Samples in regional geochemical survey is analyzed abnormity point sampling observation method

Technical field

The present invention relates to a kind of sampling observation method, specifically, relate to a kind of samples in regional geochemical survey and analyze abnormity point sampling observation method.

Background technology

Geological experiment test is that geochemical prospecting is looked for one of the important means in ore deposit, the reliability of its test result can directly have influence on the regional geochemistry basis establishment of map and the delineation of geochemical anomaly, according to the requirement of standard " geological and mineral laboratory test mass management regulation ", " be the geochemical map illusion that prevents from causing owing to analyzing accidental error, the high point of reply sudden change and sudden change low spot carry out 3% iterative testing ", its objective is and guarantee that test data accurately and reliably, it is very important that the selection of catastrophe point seems, because samples in regional geochemical survey has quantity large, scope is wide, analytical element is many, the features such as constituent content fluctuation is large, make quality control officer in the judgement of abnormity point operation easier and workload quite large.

In actual applications, because " geological and mineral laboratory test mass management regulation " is clearly not definite to abnormal selective examination ratio and selective examination method, the method that each laboratory is adopted is also not quite similar, and roughly has following two kinds:

One, only spot-check the method for maximal value and minimum point

The sample data amount that adjust in ore deposit, district is more, and some laboratory is due to manpower, and abnormal extraction can only be according to " geological and mineral laboratory test mass management regulation " requirement, generally take high value 1.5%, the method of low value 1.5%, although this method is simple, is obviously incomplete, particularly in the time running into continuous high value point and continuous low value point, for sample by the gross, representative very poor, science is not strong, some laboratory also has the way that only extracts high value, inadvisable especially;

Two, the sampling observation method of three times of standard deviations

This method is based on mathematical statistics, obtain the mean value of sample (ω) by the gross, and standard deviation (S), emphasis extracts the sample higher than ω+3S, and this sampling observation method is seemingly reasonable, but it has obscured " extremely " and geologic " extremely " in analytical test, missed in analytical test really significant " extremely ", larger problem is that the quantity extracting is uncontrollable, even if repeatedly calculate, quantity reaches requirement, but operation is very loaded down with trivial details.

In sum, all there are same serious problems in existing sampling observation method, they have all ignored the fluctuation situation of the constituent content in different background district, cannot monitor the low abnormity point of high background area and the high abnormity point of low background area, the abnormity point selected lacks representative, does not really reach monitoring and analyze by the gross the object of quality.

Summary of the invention

The object of the present invention is to provide a kind of samples in regional geochemical survey to analyze abnormity point sampling observation method, mainly solve the sampling observation method existing in prior art and ignored the fluctuation situation of the constituent content in different background district, the abnormity point selected lacks representative, does not really reach monitoring and analyze by the gross the problem of the object of quality.

To achieve these goals, the technical solution used in the present invention is as follows:

Samples in regional geochemical survey is analyzed abnormity point sampling observation method, comprises the following steps:

(1) calculation sample closes on the expectation value ω of the measured value that m orders _i, m > 1;

(2) according to the measured value x of this sample _iand the expectation value ω of the measured value of its point of proximity of drawing of step (1) _i, use formula Y _i=x _i-ω _icalculate the measured value x of this sample _idepart from expectation value ω _iresidual error Y _i;

(3) the expectation value ω drawing according to step (1) _iand the residual error Y that draws of step (2) _i, use formula Z _i=Y _i/ ω _icalculate the relative deviation value that this sample departs from expectation value;

(4) according to relative deviation value Z _isize sort successively;

(5) proportionally or in the data of fixed qty from step (4) sorts inspect by random samples.

Specifically, in described step (1), sample expectation value draws by following formula: ${\mathrm{\ω}}_i=\frac{1}{2m}(x_{i-m}$ $+...+x_{i-2}+x_{i-1}+x_{i+1}+x_{i+2}+...+x_{i+m}).$

Compared with prior art, the present invention has following beneficial effect:

(1) in the present invention, introduce dexterously the concept of relative deviation, and utilize computerized algorithm, set up effective mathematical model, thereby realize the beat dynamic surveillance of situation of constituent content, and then the error in monitoring analysis process has been had more reliably, comprehensively detected, effectively eliminate the detection leak in this field in prior art, more realistic demand.

(2) in the present invention, after each sample is resequenced by relative deviation value more in proportion or fixed qty extract, thereby have for continuous high value point and continuous low value point removal screening capacity automatically, and can effectively extract the high abnormity point under low value point and the low background under high background value, there is higher recognition capability, extracting quantity can also arbitrarily increase according to the actual requirements or reduce, and the data that extract more comprehensively, have more representativeness, can effectively solve lazy weight, the representative not enough problem of extracting.

(3) the present invention realizes more for convenience, and the scope of application is wider, can be applied to computer programming calculation, also can in Microsoft Excel, try to achieve, can effectively reduce the artificial extraction time, there is outstanding substantive distinguishing features and marked improvement, be applicable to large-scale promotion application.

Accompanying drawing explanation

Fig. 1 is the abnormal sample point distribution plan that adopts max min to extract.

Fig. 2 is the abnormal sample point distribution plan that adopts ω+3S to extract.

Fig. 3 is the abnormal sample point distribution plan that the present invention extracts.

Embodiment

Below in conjunction with drawings and Examples, the invention will be further described, and embodiments of the present invention include but not limited to the following example.

Embodiment

Ignored the fluctuation situation of the constituent content in different background district in order to solve the sampling observation method existing in prior art, the abnormity point of selecting lacks representative, really do not reach monitoring and analyze by the gross the problem of the object of quality, the invention discloses a kind of novel samples in regional geochemical survey and analyze abnormity point sampling observation method, in the method, introduce the concept of relative deviation, sort from big to small or from small to large by the relative deviation value to each sample measured value, in proportion or fixed qty extract, realize the situation of beating of dynamic monitoring constituent content, the object of the error in monitoring analysis process better.

In order to prove the effect of the sampling observation method in the present invention, as shown in table 1, provide the analysis data of certain batch of As element:

Table 1

Data are beated greatlyr as can be seen from the above table, occur continuous high value at sample spot 107～113 and 139～154 content, and continuous low value region appears in sample spot 084～106, guarantees that the abnormity point of this batch data of selecting properly is tested, very important.

As shown in Figure 1, if the way extracting according to max min, obtain respectively 090,091,094,007,110,111,112,144 8 sample spot, as can be seen from Figure 1 have together with three abnormal high values have concentrated on three abnormal low value points, miss suspicious data point, lacked representative; As shown in Figure 2, if what extract according to the method for ω+3S is 107,108,109,110,111,112,144 7 abnormal high value points, obviously several problems that we expect have been there are, the i.e. problem of high value point continuous drawing and extraction lazy weight, and cannot extract out for abnormal low value point, selective examination emphasis has still been placed on several samples that content is large.

Use the relative deviation method in the present invention to extract abnormal, obtaining following result is 007, 042, 106, 138, 004, 066, 144, 178(is shown in Fig. 3), the abnormity point that this method extracts is relatively even, remove for continuous high value point, for low background 001～100 between sample also extracted abnormal high point (004 out, 066), between high background area 106～155, also extract abnormal low spot (138) out, representative, effect is very good, and abnormal quantity can arbitrarily be increased and be reduced, if needed, 112 and 123 two sample spot can also be included abnormity point in.

Because above-mentioned data are more, in the present embodiment, only as an example of 1～20 sample spot in table 1 example, the sampling observation method in the present invention is described.

According to formula ${\mathrm{\ω}}_i=\frac{1}{2m}(x_{i-m}+...+x_{i-2}+x_{i-1}+x_{i+1}+x_{i+2}+...+x_{i+m})$ Calculation sample closes on the expectation value ω of the measured value that m orders _i; According to formula Z _i=(X _i-ω _i)/(ω _i) the relative deviation value of calculation sample, herein, m value is that 2, i is 1～20, and expectation value and relative deviation are as shown in table 2, and wherein, end value is got it and closes on the measured value of sample as sample 1,2,19,20 etc.

Table 2

According to relative deviation value Z _isize from big to small sample is sorted, draw sequence as described in Table 3:

Table 3

Can draw from this sequence, if be taken as abnormal high point from maximal value, be taken as abnormal low spot from minimum value, can show that yp004 and yp008 are abnormal high point, yp006 and yp007 are abnormal low spot, concrete sampling observation quantity determined by user, according to a certain percentage or fixed qty from the data above-mentioned sequence, inspect comprehensive sampling observation that just can realize sample spot by random samples.

According to above-described embodiment, just can realize well the present invention.

Claims (2)

1. samples in regional geochemical survey is analyzed abnormity point sampling observation method, it is characterized in that, comprises the following steps:

(1) calculation sample closes on the expectation value ω of the measured value that m orders _i, m > 1;

(2) according to the measured value x of this sample _iand the expectation value ω of the measured value of its point of proximity of drawing of step (1) _i, use formula Y _i=x _i-ω _icalculate the measured value x of this sample _idepart from expectation value ω _iresidual error Y _i;

(3) the expectation value ω drawing according to step (1) _iand the residual error Y that draws of step (2) _i, use formula Z _i=Y _i/ ω _icalculate the relative deviation value that this sample departs from expectation value;

(4) according to relative deviation value Z _isize sort successively;

(5) proportionally or in the data of fixed qty from step (4) sorts inspect by random samples.

2. samples in regional geochemical survey according to claim 1 is analyzed abnormity point sampling observation method, it is characterized in that, in described step (1), sample expectation value draws by following formula: ${\mathrm{\ω}}_i=\frac{1}{2m}(x_{i-m}+...+x_{i-2}$ $+x_{i-1}+x_{i+1}+x_{i+2}+...+x_{i+m}).$

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