A method for constructing a risk evaluation model of green building material product authentication

A technology of green building materials and risk assessment, which is applied in the field of green building materials product certification risk assessment model construction, and can solve the problems of unknowable product certification risks

Inactive Publication Date: 2019-03-29
BEIJING INFORMATION SCI & TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the embodiment of the present invention provides a method for establishing a green building material product certification risk model to solve the problem that the product certification risk cannot be known in the prior art

Method used

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  • A method for constructing a risk evaluation model of green building material product authentication
  • A method for constructing a risk evaluation model of green building material product authentication
  • A method for constructing a risk evaluation model of green building material product authentication

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Embodiment 1

[0043] First, the embodiment of the present invention provides a method for constructing a green building material product certification risk assessment model. The model can be used to assess the green building material product certification risk. The flow chart is as follows figure 1 shown, including the following process:

[0044] S1. Acquiring index parameters of green building material product certification, the index parameters are determined according to certification nodes and risk points.

[0045] Among them, some nodes are selected from the nodes in the green building material product certification process as the first-level index parameters; the risk points of the first-level index parameters are obtained, and some of the risk points are selected as the second-level index parameters. Specifically, based on the certification process of the "Green Product Certification Implementation Rules for Ceramic Tiles (Boards)" issued by the National Certification and Accreditati...

Embodiment 2

[0064] In order to solve the problems existing in the prior art, the present invention also proposes a method for detecting the certification risk of green building materials products, which includes the following steps:

[0065] Obtain the index parameters of green building material product certification;

[0066] The index parameter input adopts the green building material product certification risk model that embodiment 1 establishes;

[0067] According to the output value of the green building material product certification risk model, the risk of the green building material product certification is judged. If it is higher than the preset risk threshold, there is a relatively large risk.

[0068] The green building material product certification risk detection method is used to evaluate the risk of the green building material product certification process based on the improved BP neural network, by first determining the structure and related parameters of the BP neural net...

Embodiment 3

[0113] Figure 4 It is a schematic diagram of the hardware structure of the electronic device performing the processing method for list item operations provided by the embodiment of the present invention, as shown in Figure 4 As shown, the device includes one or more processors 410 and memory 420, Figure 4 A processor 410 is taken as an example.

[0114] The processor 410 and the memory 420 may be connected via a bus or in other ways, Figure 4 Take connection via bus as an example.

[0115] The processor 410 may be a central processing unit (Central Processing Unit, CPU). The processor 410 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application-specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete Chips such as gate or transistor logic devices, discrete hardware components,...

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Abstract

The invention provides a method for constructing a risk evaluation model of green building material product authentication, comprising the steps of obtaining index parameters of green building material product authentication, wherein the index parameters are determined according to an authentication node and a risk point; acquiring sample values corresponding to the index parameters, and establishing a training sample and a test sample; inputting the index parameters into a neural network model and configuring the parameters of the neural network; training the neural network model by trainingsamples, and after the training, optimizing the neural network model by using test samples, wherein the optimized neural network model is a risk evaluation model of green building material product certification. The neural network model can extract the hidden knowledge and rules from the training data, and reduce the subjective factors and accidental factors in the evaluation process, which is more scientific, intelligent and expansible.

Description

technical field [0001] The invention relates to the technical field of green products, in particular to a method for building a green building material product certification risk evaluation model. Background technique [0002] Green products refer to a class of products that are energy-saving, water-saving, low-pollution, low-toxic, renewable, and recyclable in the production process and themselves. It is also the ultimate embodiment of green technology applications. Green products can directly promote the transformation of people's consumption concepts and production methods. [0003] The field of building materials is one of the typical application fields of green product certification. With the concept of green life deeply rooted in the hearts of the people, the field of green building materials has been favored by the industry. Although the application of green building materials has been paid attention to, the risks in the certification process have greater ambiguity a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/04G06N3/08
CPCG06N3/084G06Q10/0635G06N3/044
Inventor 张健张长鲁田晓飞金春华王宁苏亚松贺一恒王宏涛
Owner BEIJING INFORMATION SCI & TECH UNIV
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