Engineering file automatic verification method and system based on intelligent electronic signature

Abstract

The invention discloses an engineering archive automatic verification method and system based on an intelligent electronic signature, and the method comprises the steps: obtaining the electronic signature information of a user on an engineering archive, and the electronic signature information comprises the historical signature information of the user, network delay, the verification error rate of the electronic signature, and the total verification frequency of the electronic signature; setting an electronic signature legality evaluation model, calculating an electronic signature legality evaluation value according to the electronic signature information, comparing the electronic signature legality evaluation value with a preset legality threshold value, and when the electronic signature legality evaluation value exceeds the preset legality threshold value, judging whether the electronic signature legality evaluation value exceeds the preset legality threshold value; the verification of the electronic signature corresponding to the electronic signature legality evaluation value is passed; and performing batch storage and batch auditing on the verified engineering archives, thereby improving the processing efficiency of the engineering archives.

Description

Technical Field

[0001] The present invention belongs to the technical field of electronic signature processing, and more specifically, relates to an automatic verification method and system for engineering archives based on intelligent electronic signature. Background Art

[0002] Electronic signatures are used to verify the identity and integrity of a document or transaction and ensure the consent of the signatory. They replace handwritten signatures in contracts, legal documents, financial transactions, and other scenarios to improve efficiency and security.

[0003] Verifying the legitimacy of an electronic signature usually involves the following steps: first, checking whether the digital certificate of the signature is issued by a trusted certificate authority (CA); second, using the public key to decrypt the signature to obtain the hash value of the original data; then, calculating the hash value of the current content of the document and comparing it with the decrypted hash value; and finally, confirming whether the identity of the signer is consistent with the information in the certificate. If all these conditions are met, the electronic signature is considered legal and valid.

[0004] However, the security of this verification method is relatively low. For example, hackers can steal user identity information and electronically sign documents. Therefore, there is an urgent need for a technical solution that can improve the security of electronic signatures. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes an automatic verification method for engineering archives based on intelligent electronic signature, comprising:

[0006] Obtaining the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications;

[0007] Setting an electronic signature legitimacy evaluation model, and calculating an electronic signature legitimacy evaluation value based on the electronic signature information, and comparing it with a preset legitimacy threshold value, when the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold value, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification;

[0008] The verified engineering files will be stored and audited in batches to improve the efficiency of engineering file processing.

[0009] Furthermore, the electronic signature legitimacy assessment model includes:

[0010]

[0011] Where L is the legality evaluation value of the electronic signature, t fis the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

[0012] Furthermore, the influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legality evaluation of the electronic signature includes:

[0013]

[0014] Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0015] Furthermore, the state value S(t) of the electronic signature at time t includes:

[0016]

[0017] Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

[0018] Further, the electronic signature verification evaluation function g(V(t′)) according to the time V(t′) required to verify the electronic signature at time t′ includes:

[0019]

[0020] Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

[0021] Furthermore, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0022] The present invention also proposes an automatic verification system for engineering archives based on intelligent electronic signature, comprising:

[0023] An information acquisition module is used to acquire the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications;

[0024] An evaluation module is used to set an electronic signature legitimacy evaluation model, and calculate an electronic signature legitimacy evaluation value based on the electronic signature information, and compare it with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes the verification;

[0025] The processing module is used to batch store and audit the verified engineering files, thereby improving the efficiency of engineering file processing.

[0026] Furthermore, the electronic signature legitimacy assessment model includes:

[0027]

[0028] Where L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

[0029] Furthermore, the influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legality evaluation of the electronic signature includes:

[0030]

[0031] Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0032] Furthermore, the state value S(t) of the electronic signature at time t includes:

[0033]

[0034] Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

[0035] In general, the above technical solution conceived by the present invention has the following beneficial effects compared with the prior art:

[0036] Through the technical solution of the present invention, the legitimacy of the electronic signature can be verified, which saves the cost of manual verification and improves the efficiency of file processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0038] Figure 2 It is a structural diagram of the system of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0039] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0040] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0041] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0042] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0043] The display screen is used to display the user interface of each application.

[0044] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0045] Example 1

[0046] like Figure 1 As shown, an embodiment of the present invention provides an automatic verification method for engineering archives based on intelligent electronic signature, comprising:

[0047] Step 101, obtaining the electronic signature information of the user on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications;

[0048] Step 102, setting an electronic signature legitimacy evaluation model, and calculating an electronic signature legitimacy evaluation value based on the electronic signature information, and comparing it with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification;

[0049] Specifically, the electronic signature legitimacy assessment model includes:

[0050]

[0051] Where L is the legality evaluation value of the electronic signature, t fis the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

[0052] Specifically, the influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legality evaluation of the electronic signature includes:

[0053]

[0054] Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0055] Specifically, the state value S(t) of the electronic signature at time t includes:

[0056]

[0057] Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

[0058] Specifically, the electronic signature verification evaluation function g(V(t′)) according to the time V(t′) required to verify the electronic signature at time t′ includes:

[0059]

[0060] Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

[0061] Specifically, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0062] Step 103, batch storage and batch audit of the engineering files that have passed the verification, so as to improve the efficiency of engineering file processing.

[0063] Example 2

[0064] like Figure 2 As shown, the embodiment of the present invention also provides an automatic verification system for engineering archives based on intelligent electronic signature, comprising:

[0065] An information acquisition module is used to acquire the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications;

[0066] An evaluation module is used to set an electronic signature legitimacy evaluation model, and calculate an electronic signature legitimacy evaluation value based on the electronic signature information, and compare it with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes the verification;

[0067] Specifically, the electronic signature legitimacy assessment model includes:

[0068]

[0069] Where L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the status value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, E is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

[0070] Specifically, the influence function T(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legality evaluation of the electronic signature includes:

[0071]

[0072] Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0073] Specifically, the state value S(t) of the electronic signature at time t includes:

[0074]

[0075] Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

[0076] Specifically, the electronic signature verification evaluation function g(V(t′)) according to the time V(t′) required to verify the electronic signature at time t′ includes:

[0077]

[0078] Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, ηη is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

[0079] Specifically, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0080] The processing module is used to batch store and audit the verified engineering files, thereby improving the efficiency of engineering file processing.

[0081] Example 3

[0082] The embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the automatic verification method of engineering archives based on intelligent electronic signature.

[0083] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0084] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining the electronic signature information of the user on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications;

[0085] Step 102, setting an electronic signature legitimacy evaluation model, and calculating an electronic signature legitimacy evaluation value based on the electronic signature information, and comparing it with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification;

[0086] Specifically, the electronic signature legitimacy assessment model includes:

[0087]

[0088] Where L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

[0089] Specifically, the influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legality evaluation of the electronic signature includes:

[0090]

[0091] Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t(t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0092] Specifically, the state value S(t) of the electronic signature at time t includes:

[0093]

[0094] Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

[0095] Specifically, the electronic signature verification evaluation function g(V(t′)) according to the time V(t′) required to verify the electronic signature at time t′ includes:

[0096]

[0097] Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

[0098] Specifically, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0099] Step 103, batch storage and batch audit of the engineering files that have passed the verification, so as to improve the efficiency of engineering file processing.

[0100] Example 4

[0101] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores multiple instructions, and the instructions can be loaded and executed by the processor so that the processor can execute the automatic verification method of engineering archives based on intelligent electronic signatures.

[0102] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0103] Among them, the storage medium can be used to store software programs and modules, such as a method for automatic verification of engineering archives based on intelligent electronic signatures in an embodiment of the present invention, corresponding program instructions / modules, and the processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned method for automatic verification of engineering archives based on intelligent electronic signatures. The storage medium may include high-speed random storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0104] The processor may call the information and application stored in the storage medium through the transmission system to perform the following steps: Step 101, obtaining the electronic signature information of the user on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications;

[0105] Step 102, setting an electronic signature legitimacy evaluation model, and calculating an electronic signature legitimacy evaluation value based on the electronic signature information, and comparing it with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification;

[0106] Specifically, the electronic signature legitimacy assessment model includes:

[0107]

[0108] Where L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

[0109] Specifically, the influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legality evaluation of the electronic signature includes:

[0110]

[0111] Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

[0112] Specifically, the state value S(t) of the electronic signature at time t includes:

[0113]

[0114] Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, v is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

[0115] Specifically, the electronic signature verification evaluation function g(V(t′)) according to the time V(t′) required to verify the electronic signature at time t′ includes:

[0116]

[0117] Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

[0118] Specifically, all weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

[0119] Step 103, batch storage and batch audit of the engineering files that have passed the verification, so as to improve the efficiency of engineering file processing.

[0120] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0121] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0122] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0123] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0124] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0125] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0126] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for automatic verification of engineering archives based on intelligent electronic signature, characterized in that: include: Obtaining the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications; Setting an electronic signature legitimacy evaluation model, and calculating an electronic signature legitimacy evaluation value based on the electronic signature information, and comparing it with a preset legitimacy threshold value, when the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold value, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes verification; The verified engineering files will be stored and audited in batches to improve the efficiency of engineering file processing.

2. The method for automatic verification of engineering archives based on intelligent electronic signature as claimed in claim 1, characterized in that: The electronic signature legitimacy assessment model includes: Where L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the state value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, ∈ is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

3. The method for automatic verification of engineering archives based on intelligent electronic signature as claimed in claim 2, characterized in that: The influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature includes: Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

4. The method for automatic verification of engineering archives based on intelligent electronic signature as claimed in claim 3, characterized in that: The state value S(t) of the electronic signature at time t includes: Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

5. The method for automatic verification of engineering archives based on intelligent electronic signature as claimed in claim 4, characterized in that: The electronic signature verification evaluation function g(V(t′)) according to the time V(t′) required to verify the electronic signature at time t′ includes: Wherein, μ is the first adjustment factor of the electronic signature verification evaluation, η is the second adjustment factor of the electronic signature verification evaluation, E(t′) is the verification error rate of the electronic signature within time t′, and T′(t′) is the total number of electronic signature verifications within time t′.

6. A method for automatic verification of engineering archives based on intelligent electronic signature as claimed in claim 5, characterized in that: All weights and adjustment factors are fitted by gradient descent method or ant colony algorithm.

7. An automatic verification system for engineering archives based on intelligent electronic signature, characterized in that: include: An information acquisition module is used to acquire the user's electronic signature information on the project file, wherein the electronic signature information includes: user historical signature information, network delay, electronic signature verification error rate and total number of electronic signature verifications; An evaluation module is used to set an electronic signature legitimacy evaluation model, and calculate an electronic signature legitimacy evaluation value based on the electronic signature information, and compare it with a preset legitimacy threshold. When the electronic signature legitimacy evaluation value exceeds the preset legitimacy threshold, the electronic signature corresponding to the electronic signature legitimacy evaluation value passes the verification; The processing module is used to batch store and audit the verified engineering files, thereby improving the efficiency of engineering file processing.

8. The automatic verification system for engineering archives based on intelligent electronic signature as claimed in claim 7, characterized in that: The electronic signature legitimacy assessment model includes: Where L is the legality evaluation value of the electronic signature, t f is the end time of the integration, t0 is the start time of the integration, α is the first adjustment factor of the legitimacy evaluation, S(t) is the status value of the electronic signature at time t, β is the second adjustment factor of the legitimacy evaluation, δ is the third adjustment factor of the legitimacy evaluation, f(R(t), H(t)) is the influence function of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature, E is the fourth adjustment factor of the legitimacy evaluation, k is the fifth adjustment factor of the legitimacy evaluation, and T(t) is the time interval from the generation of the electronic signature to the completion of the verification at time t.

9. The automatic verification system for engineering archives based on intelligent electronic signature as claimed in claim 8, characterized in that: The influence function f(R(t), H(t)) of the user's historical signature information R(t) at time t and the network delay H(t) at time t on the legitimacy evaluation of the electronic signature includes: Among them, θ1 is the first weight of the influence function, R s (t) is the number of successful electronic signature verifications within time t, R t (t) is the total number of electronic signature verifications within time t, α′ is the first adjustment factor of the influence function, θ2 is the second weight of the influence function, θ3 is the third weight of the influence function, β′ is the second adjustment factor of the influence function, θ4 is the fourth weight of the influence function, R c (t) is the number of invalid verifications of the electronic signature within time t, R s (t), R c (t) and R t (t) belongs to R(t).

10. The automatic verification system for engineering archives based on intelligent electronic signature as claimed in claim 9, characterized in that: The state value S(t) of the electronic signature at time t includes: Among them, θ5 is the first weight of the electronic signature status value, C(t) is the length of the electronic signature, V is the second weight of the electronic signature status value, λ is the adjustment factor of the electronic signature status value, θ6 is the third weight of the electronic signature status value, and g(V(t′)) is the electronic signature verification evaluation function based on the time V(t′) required to verify the electronic signature at time t′, which is used to describe the complexity of the verification process.

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