A method for optimizing the matching rate of raw data of motor vehicle exhaust detection equipment
A technology of exhaust gas detection and raw data, which is applied in the field of optimization of the matching rate of raw data of motor vehicle exhaust gas detection equipment, can solve the problems of imprecise results, poor actual effect, and mismatch, so as to reduce the influence of outliers and improve the matching rate , to reduce the effect of misjudgment
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Embodiment 1
[0055] Embodiment one: if figure 1 As shown, the present invention provides the following technical solutions: a method for optimizing the matching rate of raw data of motor vehicle exhaust detection equipment, comprising the following steps:
[0056] Step S1 selects the same amount of data collected by the regulatory agency and the data collected by the integrator. The selected amount must be large enough and be divided into multiple data groups of the same amount. Each data group includes two corresponding sets of data, respectively Regulator Data for the current group and Integrator Data for the current group;
[0057] The two sets of data corresponding to step S2 are based on the data collected by the regulatory agency, and align 2 / 3 of the integrator data with the regulatory data to form a new data set, so as to apply judgment on the specific values of the two sets of data The method of matching is used to judge whether it matches. When the amount of data is not an int...
Embodiment 2
[0063] A method for optimizing the matching rate of raw data of motor vehicle exhaust detection equipment, comprising the following steps:
[0064] Step S1 selects the same amount of data collected by regulatory agencies and data collected by integrators, which are recorded as P1 and P2 respectively, and are divided into N data groups, which are recorded as N1 and N2 respectively, and the amount of data in each data group is respectively are P1÷N and P2÷N;
[0065] The two sets of data corresponding to step S2 are based on the data collected by the regulatory agency, and align 2 / 3 of the data of the integrator with the regulatory data, so as to apply the method of judging whether the specific values of the two sets of data match or not to determine whether Matching, taking the first group of data as an example, the first group of data is recorded as N11 and N21 respectively, taking N11 as the standard, aligning 2 / 3 of N21 with the first bit of N11, and forming a new data gro...
Embodiment 3
[0071] Such as figure 2 As shown, the method for judging whether the data matches includes the following steps:
[0072] A1: Obtain the maximum value MaxV of the integrator data jc and minimum value MinV jc ,
[0073] MaxV jc =max(a 1 ...a n ),
[0074] MinV jc =min(a 1 ...a n );
[0075] A2: Obtain the maximum value MaxV of monitoring agency data jg and minimum value MinV jg ,
[0076] MaxV jg =max(a 1 ...a n ),
[0077] MinV jg =min(a 1 ...a n );
[0078] A3: Obtain the maximum value MaxV and minimum value MinV of both data,
[0079] MaxV=max(MaxV jc ,MaxV jg ),
[0080] MinV=min(MinV jc ,MinV jg );
[0081] A4: Calculate the range coefficient EV,
[0082] EVP = allowable error range percentage constant,
[0083] EV=(MaxV-MinV)*(EVP / 100);
[0084] A5: Calculate the range factor FEV,
[0085] MaxP jc = The number of digits with the most decimal places in the data of the integrator, for example, the data with the most decimal places is 0.005, t...
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