Technical evaluation system of risk investment project based on big data

Abstract

The invention discloses a technical evaluation system for a risk investment project based on big data, and belongs to the technical field of big data processing and analysis. The technical problems that in an existing scheme, the supervision processing dimension of risk investment project technology assessment is single, and the diversity and comprehensiveness of technology assessment prompts are poor are solved. The method comprises the following steps: performing supervision statistics on all existing operated project operation data corresponding to a risk investment project, and performing data processing and combination on all project operation data subjected to supervision statistics in different aspects to obtain a project operation risk supervision sequence; and performing multi-dimensional implementation risk technology assessment on the risk investment project according to the project operation risk supervision sequence obtained by the earlier stage processing, and adaptively performing targeted alarm prompt on the local dimension implementation risk state and the overall dimension implementation risk state of the risk investment project according to the assessment results of different dimensions.

Description

Technical Field

[0001] The present invention relates to the technical field of big data processing and analysis, and in particular to a technology evaluation system for venture capital projects based on big data. Background Art

[0002] The technical evaluation of venture capital projects is a crucial step in the investment decision-making process; the goal of technical evaluation is to verify the feasibility, competitive advantage, technological maturity and future development potential of the project.

[0003] When implementing the existing technical evaluation plans for venture capital projects, venture capital projects with franchise products cannot conduct multi-dimensional supervision and processing evaluation of the existing franchise operation data of franchise products, and cannot adaptively generate risk assessment results of different dimensions and provide dynamic prompts based on the evaluation results. The supervision and processing dimensions of technical evaluation of venture capital projects are single, and the diversity and comprehensiveness of technical evaluation prompts are poor. Summary of the invention

[0004] The purpose of the present invention is to provide a technical evaluation system for venture capital projects based on big data, which is used to solve the technical problems of the single supervision and processing dimension of venture capital project technical evaluation in existing solutions, as well as the poor diversity and comprehensiveness of technical evaluation prompts.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A technology evaluation system for venture capital projects based on big data, comprising:

[0007] The risk investment project operation data supervision and processing module is used to supervise and count all the existing project operation data corresponding to the risk investment project, and to process and combine all the project operation data in different aspects to obtain the project operation risk supervision sequence and upload it to the technical evaluation supervision platform in real time; the project operation risk supervision sequence is obtained by sorting and combining the return validity, the first risk impact, and the second risk impact obtained by processing;

[0008] The multi-dimensional prompt module for risk investment project data assessment is used to conduct multi-dimensional implementation risk technology assessment of risk investment projects according to the project operation risk supervision sequence, and to adaptively issue targeted warning prompts for the local implementation risk status of risk investment projects and the overall implementation risk status according to the assessment results of different dimensions;

[0009] Among them, according to the return validity elements in the project operation risk supervision sequence, the implementation risk technology assessment of the local return dimension of the venture capital project is carried out to obtain the corresponding investment return income status and prompt;

[0010] According to the first risk impact element and the second risk impact element in the project operation risk supervision sequence, the implementation risk technical assessment of the venture capital project in the local loss dimension is carried out to obtain the corresponding investment loss risk status and provide prompts;

[0011] Based on all elements in the project operation risk supervision sequence, a technical assessment of the implementation risk of the venture capital project in the overall return dimension is conducted to obtain the corresponding overall implementation risk impact status and provide a prompt.

[0012] Preferably, different target venture capital projects are obtained and numbered, and the start time points of operation corresponding to the different target venture capital projects are obtained, and the total operation time between the real-time Beijing time point and the start time points of operation of the different target venture capital projects is calculated;

[0013] and, obtaining the total investment costs corresponding to different target venture capital projects, and the total investment profits corresponding to different operating years;

[0014] When analyzing and processing the operation types of different target venture capital projects, target venture capital projects with a total operation time that is less than or equal to the standard operation time are marked as projects to be observed;

[0015] And mark the target venture capital projects whose total operating time is greater than the standard operating time as valid observation projects.

[0016] Preferably, the total investment costs corresponding to different valid observation projects and the total investment profits corresponding to all years are sequentially calculated by the formula The return validity HX corresponding to all valid observation items is calculated; where i is a different valid observation item, i=1, 2, 3,..., n; n is a positive integer; RZi, CBi, Ti are the total investment profit, total investment cost, and total operating years corresponding to different valid observation items respectively; BHi is the standard rate of return corresponding to different total operating years; A is the standard value of the return.

[0017] Preferably, the total number of business failures corresponding to the target venture capital projects is counted, and the total amount of losses corresponding to different failed target venture capital projects is obtained, and the total amount of losses corresponding to the different failed target venture capital projects is calculated by the formula Calculate and obtain the first risk impact YS corresponding to all target venture capital projects that have failed in operation; where α and β are different calculation weight coefficients, and their value ranges are both greater than 0; NS and JS are the total number of operating failures and the total amount of losses corresponding to all failed target venture capital projects, respectively; NB and JB are the total number of standard operating failures and the total amount of standard losses, respectively; [*] is a rounding function, which means obtaining the maximum integer that does not exceed the real number *.

[0018] Preferably, the total investment duration corresponding to different failed target venture capital projects is obtained, and the total investment duration corresponding to different failed target venture capital projects is calculated by the formula Calculate and obtain the corresponding second risk impact YC; where j is the target venture capital project with different failures, j=1, 2, 3, ..., m; m is a positive integer; D is the total duration of the operating failure standard.

[0019] Preferably, when conducting a technical assessment of the implementation risk of a venture capital project in the local return dimension based on the return validity element in the project operation risk supervision sequence;

[0020] Generate the corresponding normal return status of investment return according to the return validity less than or equal to 1 and prompt;

[0021] Generate the corresponding investment return medium return status and prompt it according to the return validity greater than 1 and less than or equal to k; k is a real number greater than 1;

[0022] According to the return validity greater than k, the corresponding investment return high profit state is generated and prompted.

[0023] Preferably, when the implementation risk technical assessment of the local loss dimension of the venture capital project is conducted according to the first risk impact element and the second risk impact element in the project operation risk supervision sequence;

[0024] If the first risk impact and the second risk impact are both 0, a low risk of investment loss status is generated and prompted;

[0025] If one of the first risk impact and the second risk impact is not 0, a moderate investment loss risk status is generated and prompted;

[0026] If both the first risk impact degree and the second risk impact degree are not 0, a high investment loss risk status is generated and a prompt is given.

[0027] Preferably, when conducting an implementation risk technical assessment of the overall return dimension of a venture capital project based on all elements in the project operation risk supervision sequence, all elements in the project operation risk supervision sequence are subjected to data analysis through an overall implementation risk impact identification function, and the overall implementation risk impact ZY corresponding to the venture capital project is output;

[0028] Conduct data analysis on the overall implementation risk impact obtained to determine the overall implementation risk impact status corresponding to the venture capital project and provide a prompt.

[0029] Preferably, a corresponding overall implementation risk low impact state is generated and prompted according to the overall implementation risk impact degree with a value of 1;

[0030] According to the overall implementation risk impact degree whose value is greater than or equal to 0 and less than 1, the corresponding overall implementation risk medium impact state is generated and prompted;

[0031] According to the overall implementation risk impact degree with a value less than 0, the corresponding overall implementation risk high impact status is generated and prompted.

[0032] Preferably, the expression of the overall implementation risk impact identification function is: Where E is the standard value of the overall implementation risk impact.

[0033] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0034] The present invention obtains a project operation risk supervision sequence by supervising and counting the operation data of all existing projects corresponding to the venture capital projects, and performing data processing and combination in different aspects on all the project operation data collected through supervision and counting. This can realize data processing and combination in terms of positive and negative impacts on the venture capital projects from different aspects, and can provide reliable digital data support for risk status data analysis in local dimensions corresponding to different aspects of subsequent venture capital projects and risk status data analysis in overall dimensions, thereby improving the diversity and reliability of the supervision and processing dimensions of venture capital projects.

[0035] The present invention conducts a multi-dimensional implementation risk technical assessment of venture capital projects based on the project operation risk supervision sequence obtained in the early stage, and adaptively issues targeted warning prompts for the local dimension implementation risk status and the overall dimension implementation risk status of the venture capital project according to the assessment results of different dimensions, thereby realizing the extended analysis of the early stage supervision processing data of different aspects, and conducting local dimension implementation risk status and prompts for the venture capital project in different local aspects and overall aspects, as well as the overall dimension implementation risk status and prompts, thereby improving the diversity and comprehensiveness of the technical assessment prompts of the venture capital projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] The present invention will be further described below in conjunction with the accompanying drawings.

[0037] Figure 1 This is a module block diagram of a technology evaluation system for venture capital projects based on big data in the present invention.

[0038] Figure 2 The present invention is a flowchart of a technology evaluation system for venture capital projects based on big data. DETAILED DESCRIPTION

[0039] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0040] like Figure 1 to Figure 2 As shown, the present invention is a technology evaluation system for venture capital projects based on big data, including a technology evaluation supervision platform, a venture capital project operation data supervision processing module and a venture capital project data evaluation multi-dimensional prompt module connected to the technology supervision platform in communication;

[0041] The risk investment project operation data supervision and processing module is used to supervise and count all the existing project operation data corresponding to the risk investment project, and to process and combine all the project operation data in different aspects to obtain the project operation risk supervision sequence and upload it to the technical evaluation supervision platform in real time; including:

[0042] Obtain different target venture capital projects and mark them with numbers, obtain the start time points of operation corresponding to the different target venture capital projects, and calculate the total operation time between the real-time Beijing time point and the start time points of operation of the different target venture capital projects;

[0043] In the embodiment of the present invention, the different target venture capital projects may specifically be venture capital projects that have been put into operation; the venture capital projects may specifically be products of franchise brands, including but not limited to catering food, health and beauty, household products, and education and training;

[0044] The start time of operation and the real-time Beijing time are both accurate to the day; the total operation time is in days;

[0045] Also, obtain the total investment costs corresponding to different target venture capital projects, and the total investment profits corresponding to different operating years; the units of total investment costs and total investment profits are both 10,000 yuan;

[0046] When analyzing and processing the operating types of different target venture capital projects, target venture capital projects with a total operating time that is less than or equal to the standard operating time will be marked as projects to be observed; the standard operating time is determined based on the average operating profit time provided by the venture capital project party;

[0047] and marking the target venture capital projects whose total operating time is greater than the standard operating time as valid observation projects;

[0048] In the embodiment of the present invention, by performing data processing and analysis from the dimension of total operation time, different target venture capital projects are classified and marked, which can provide reliable support for screening target data for subsequent data processing and analysis of venture capital projects corresponding to different dimensions;

[0049] The total investment cost corresponding to different effective observation projects and the total investment profit corresponding to all years are calculated in turn by the formula Calculate the return validity HX corresponding to all valid observation items; where i is a different valid observation item, i = 1, 2, 3, ..., n; n is a positive integer; RZi, CBi, Ti are the total investment profit, total investment cost, and total operating years corresponding to different valid observation items respectively; BHi is the standard return rate corresponding to different total operating years, which can be determined according to the median of all return rates corresponding to different total operating years of all franchise brands in the industry to which the venture capital project belongs; A is the return standard value, which can be determined according to the median of all return validity corresponding to all franchise brands in the industry to which the venture capital project belongs;

[0050] It should be noted that the return validity is used to calculate all valid return data of venture capital projects that have been operated to digitally represent the local return status corresponding to all valid observation projects;

[0051] In addition, return validity is to supervise the return impact of venture capital projects from the perspective of positive impact, which can provide reliable data support for the data analysis of the local return dimension of subsequent venture capital projects and the overall implementation of risk impact analysis;

[0052] Count the total number of business failures corresponding to the target venture capital projects, and obtain the total amount of losses corresponding to different failed target venture capital projects, and use the formula Calculate and obtain the first risk impact YS corresponding to all target venture capital projects that have failed in operation; where α and β are different calculation weight coefficients, and their value ranges are both greater than 0. The specific values ​​are not limited and can be customized according to the actual application requirements of the actual application scenario; NS and JS are the total number of business failures corresponding to all failed target venture capital projects and the total amount of losses corresponding to all failed target venture capital projects, respectively; NB and JB are the total number of business failure standards and the total amount of losses, respectively, which can be determined based on the median of the total number of business failures and the median of the total amount of losses of all franchised brands in the industry to which the venture capital project belongs; [*] is a rounding function, which means obtaining the maximum integer that does not exceed the real number *;

[0053] And, obtain the total investment duration corresponding to different failed target venture capital projects, and use the formula Calculate and obtain the corresponding second risk impact YC; where j is the target venture capital project with different failures, j = 1, 2, 3, ..., m; m is a positive integer; D is the total duration of business failure standards, which can be determined based on the median of the total duration of business failures of all franchise brands in the industry to which the venture capital project belongs;

[0054] It should be noted that the first risk impact and the second risk impact are used to calculate the identification and supervision data of all failed target venture capital projects in different aspects, so as to digitally represent the local loss status of the return validity of all target venture capital projects in different aspects;

[0055] In addition, both the first risk impact and the second risk impact are used to supervise the failure impact of venture capital projects from the perspective of negative impact, which can provide reliable data support for the data analysis of the local loss dimension of subsequent venture capital projects and the overall implementation of risk impact analysis;

[0056] The return validity, first risk impact and second risk impact obtained by processing are sorted and combined to obtain the project operation risk supervision sequence;

[0057] In an embodiment of the present invention, by supervising and counting the operation data of all existing projects corresponding to the venture capital projects, and performing data processing and combination in different aspects on all the project operation data collected through supervision and counting, a project operation risk supervision sequence is obtained, which can realize data processing and combination in terms of positive impact and negative impact on the venture capital projects from different aspects, and can provide reliable digital data support for the implementation of risk status data analysis in local dimensions corresponding to different aspects of subsequent venture capital projects and risk status data analysis in overall dimensions, thereby improving the diversity and reliability of the supervision and processing dimensions of venture capital projects.

[0058] The multi-dimensional prompt module for risk investment project data assessment is used to conduct multi-dimensional implementation risk technology assessment of risk investment projects according to the project operation risk supervision sequence, and to adaptively provide targeted warning prompts for the local dimension implementation risk status and the overall dimension implementation risk status of the risk investment project according to the assessment results of different dimensions; including:

[0059] When conducting technical risk assessment of the implementation of venture capital projects in the local return dimension based on the return validity element in the project operation risk supervision sequence;

[0060] Generate the corresponding normal return status of investment return according to the return validity less than or equal to 1 and prompt;

[0061] Generate the corresponding investment return medium return status and prompt it according to the return validity greater than 1 and less than or equal to k; k is a real number greater than 1;

[0062] Generate the corresponding investment return high benefit state and prompt it according to the return validity greater than k;

[0063] In the embodiment of the present invention, by conducting a technical assessment of the implementation risk of the local return dimension on the project operation risk supervision sequence, it is possible to obtain the investment return income status corresponding to the local return dimension, and provide reliable digital data support for the local return dimension for the data analysis of the overall implementation risk impact status of subsequent venture capital projects;

[0064] and, when conducting a technical risk assessment of the local loss dimension of a venture capital project based on the first risk impact element and the second risk impact element in the project operation risk supervision sequence;

[0065] If the first risk impact and the second risk impact are both 0, a low risk of investment loss status is generated and prompted;

[0066] If one of the first risk impact and the second risk impact is not 0, a moderate investment loss risk status is generated and prompted;

[0067] If both the first risk impact and the second risk impact are not 0, a high risk of investment loss is generated and prompted;

[0068] In the embodiment of the present invention, by conducting a technical assessment of the implementation risk of the local loss dimension on the project operation risk supervision sequence, it is possible to obtain the investment loss risk status corresponding to the local loss dimension, and provide reliable digital data support for the local loss dimension for the data analysis of the overall implementation risk impact status of subsequent venture capital projects;

[0069] When conducting an implementation risk technical assessment of the overall return dimension of a venture capital project based on all elements in the project operation risk supervision sequence, all elements in the project operation risk supervision sequence are analyzed using the overall implementation risk impact identification function, and the overall implementation risk impact ZY corresponding to the venture capital project is output;

[0070] Among them, the expression of the overall implementation risk impact identification function is: In the formula, E is the standard value of the overall implementation risk impact, which can be determined based on the median value of all the overall implementation risk impacts of all franchise brands in the industry to which the venture capital project belongs;

[0071] In the embodiment of the present invention, various digital data obtained by the previous processing of positive impact and negative impact are integrated and calculated to obtain the overall implementation risk impact of the venture capital project, which realizes the digital processing and representation of the overall implementation risk impact status of the venture capital project, and can also provide reliable data support for the dynamic prompt of the implementation risk status of the subsequent venture capital project overall dimension;

[0072] When the data of the overall implementation risk impact obtained is analyzed to determine the overall implementation risk impact status corresponding to the venture capital project and provide a prompt;

[0073] According to the overall implementation risk impact with a value of 1, a corresponding overall implementation risk low impact state is generated and prompted;

[0074] According to the overall implementation risk impact degree whose value is greater than or equal to 0 and less than 1, the corresponding overall implementation risk medium impact state is generated and prompted;

[0075] According to the overall implementation risk impact degree with a value less than 0, the corresponding overall implementation risk high impact status is generated and prompted.

[0076] In the embodiment of the present invention, a multi-dimensional implementation risk technical assessment is performed on the venture capital project based on the project operation risk supervision sequence obtained in the early stage, and targeted warning prompts are adaptively given to the local dimension implementation risk status and the overall dimension implementation risk status of the venture capital project based on the assessment results of different dimensions, thereby realizing extended analysis of the early stage supervision processing data of different aspects, and implementing risk status and prompts for the local dimensions of different local aspects and overall aspects of the venture capital project as well as implementing risk status and prompts in the overall dimension, thereby improving the diversity and comprehensiveness of the technical assessment prompts of the venture capital projects.

[0077] In addition, the formulas involved in the above are all dimensionless and numerical calculations. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it with simulation software.

[0078] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0079] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, and may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0080] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0081] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A technology evaluation system for venture capital projects based on big data, characterized in that: include: The risk investment project operation data supervision and processing module is used to supervise and count all the existing project operation data corresponding to the risk investment project, and to process and combine all the project operation data in different aspects to obtain the project operation risk supervision sequence and upload it to the technical evaluation supervision platform in real time; the project operation risk supervision sequence is obtained by sorting and combining the return validity, the first risk impact, and the second risk impact obtained by processing; The multi-dimensional prompt module for risk investment project data assessment is used to conduct multi-dimensional implementation risk technology assessment of risk investment projects according to the project operation risk supervision sequence, and to adaptively issue targeted warning prompts for the local implementation risk status of risk investment projects and the overall implementation risk status according to the assessment results of different dimensions; Among them, according to the return validity elements in the project operation risk supervision sequence, the implementation risk technology assessment of the local return dimension of the venture capital project is carried out to obtain the corresponding investment return income status and prompt; According to the first risk impact element and the second risk impact element in the project operation risk supervision sequence, the implementation risk technical assessment of the venture capital project in the local loss dimension is carried out to obtain the corresponding investment loss risk status and provide prompts; Based on all elements in the project operation risk supervision sequence, a technical assessment of the implementation risk of the venture capital project in the overall return dimension is conducted to obtain the corresponding overall implementation risk impact status and provide a prompt.

2. According to claim 1, a technology evaluation system for venture capital projects based on big data is characterized in that: Obtain different target venture capital projects and mark them with numbers, obtain the start time points of operation corresponding to the different target venture capital projects, and calculate the total operation time between the real-time Beijing time point and the start time points of operation of the different target venture capital projects; and, obtaining the total investment costs corresponding to different target venture capital projects, and the total investment profits corresponding to different operating years; When analyzing and processing the operation types of different target venture capital projects, target venture capital projects with a total operation time that is less than or equal to the standard operation time are marked as projects to be observed; And mark the target venture capital projects whose total operating time is greater than the standard operating time as valid observation projects.

3. According to claim 2, a technology evaluation system for venture capital projects based on big data is characterized in that: The total investment cost corresponding to different effective observation projects and the total investment profit corresponding to all years are calculated in turn by the formula The return validity HX corresponding to all valid observation items is calculated; where i is a different valid observation item, i=1, 2, 3,..., n; n is a positive integer; RZi, CBi, Ti are the total investment profit, total investment cost, and total operating years corresponding to different valid observation items respectively; BHi is the standard rate of return corresponding to different total operating years; A is the standard value of the return.

4. According to claim 3, a technology evaluation system for venture capital projects based on big data is characterized in that: Count the total number of business failures corresponding to the target venture capital projects, and obtain the total amount of losses corresponding to different failed target venture capital projects, and use the formula Calculate and obtain the first risk impact YS corresponding to all target venture capital projects that have failed in operation; where α and β are different calculation weight coefficients, and their value ranges are both greater than 0; NS and JS are the total number of operating failures and the total amount of losses corresponding to all failed target venture capital projects, respectively; NB and JB are the total number of standard operating failures and the total amount of standard losses, respectively; [*] is a rounding function, which means obtaining the maximum integer that does not exceed the real number *.

5. The technology evaluation system for venture capital projects based on big data according to claim 4 is characterized in that: Get the total investment duration corresponding to different failed target venture capital projects, and use the formula to calculate the total investment duration corresponding to different failed target venture capital projects Calculate and obtain the corresponding second risk impact YC; where j is the target venture capital project with different failures, j = 1, 2, 3, ..., m; m is a positive integer; D is the total duration of business failure standards.

6. The technology evaluation system for venture capital projects based on big data according to claim 5 is characterized in that: When conducting technical risk assessment of the implementation of venture capital projects in the local return dimension based on the return validity element in the project operation risk supervision sequence; Generate the corresponding normal return status of investment return according to the return validity less than or equal to 1 and prompt; Generate the corresponding investment return medium return status and prompt according to the return validity greater than 1 and less than or equal to k; k is a real number greater than 1; According to the return validity greater than k, the corresponding investment return high profit state is generated and prompted.

7. The technology evaluation system for venture capital projects based on big data according to claim 5 is characterized in that: When conducting a technical risk assessment of the local loss dimension of a venture capital project based on the first risk impact element and the second risk impact element in the project operation risk supervision sequence; If the first risk impact and the second risk impact are both 0, a low risk of investment loss status is generated and prompted; If one of the first risk impact and the second risk impact is not 0, a moderate investment loss risk status is generated and prompted; If both the first risk impact degree and the second risk impact degree are not 0, a high investment loss risk status is generated and a prompt is given.

8. The technology evaluation system for venture capital projects based on big data according to claim 7 is characterized in that: When conducting an implementation risk technical assessment of the overall return dimension of a venture capital project based on all elements in the project operation risk supervision sequence, all elements in the project operation risk supervision sequence are analyzed using the overall implementation risk impact identification function, and the overall implementation risk impact ZY corresponding to the venture capital project is output; Conduct data analysis on the overall implementation risk impact obtained to determine the overall implementation risk impact status corresponding to the venture capital project and provide a prompt.

9. The technology evaluation system for venture capital projects based on big data according to claim 8 is characterized in that: According to the overall implementation risk impact with a value of 1, a corresponding overall implementation risk low impact state is generated and prompted; According to the overall implementation risk impact degree whose value is greater than or equal to 0 and less than 1, the corresponding overall implementation risk medium impact state is generated and prompted; According to the overall implementation risk impact degree with a value less than 0, the corresponding overall implementation risk high impact status is generated and prompted.

10. The technology evaluation system for venture capital projects based on big data according to claim 8, characterized in that: The expression of the overall implementation risk impact identification function is: Where E is the standard value of the overall implementation risk impact.

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