Intelligent fusion analysis method of multi-source confidential data based on engineering management system

Abstract

The present invention discloses an intelligent fusion analysis method for multi-source confidential data based on an engineering management system, which relates to the technical field of information security analysis of intelligent engineering management systems, and comprises the following steps: S1, system initialization, S2, generation of a privacy mask, S3, confidential transmission of multi-source data, and S4, fault-tolerant confidential fusion analysis; the present application logically forms a group ring structure with intelligent terminal sensor equipment and an engineering management system control center, generates group secret parameters for generating message authentication codes, and when generating ciphertext data, even if the group password parameters are leaked, key plaintext information will not be leaked, thereby effectively enhancing data confidentiality; the application has a transmission fault-tolerant function, and even if a small number of intelligent terminal sensor equipment have problems in the network and fail to transmit data in time, as long as the system reaches a threshold value, it will not affect the normal intelligent fusion analysis of the system; the multi-dimensional data is compressed into a single data block, effectively reducing the communication overhead of data transmission.

Description

Technical Field

[0001] The present invention relates to the technical field of information security analysis of intelligent engineering management systems, and in particular to an intelligent fusion analysis method for multi-source confidential data based on an engineering management system. Background Art

[0002] Intelligent engineering management systems leverage modern information technologies such as the Internet of Things, cloud computing, and big data to enable real-time sharing of project information, automated task allocation, visual progress monitoring, and precise cost control. This system not only improves project management efficiency but also brings about profound changes such as scientific decision-making and close team collaboration. Specifically, it centrally stores all project-related information, including project documents, drawings, contracts, and change records, enabling unified management and rapid retrieval. By integrating artificial intelligence technologies such as machine learning and natural language processing, intelligent engineering management systems can more intelligently identify and address project issues and risks. By leveraging big data analysis, cloud computing, and deep learning algorithms, the system not only accurately predicts risks and optimizes resource allocation, but also provides managers with optimal strategic recommendations, achieving a leap from assisted to autonomous decision-making. Combined with high-speed 5G networks, high-definition video and massive amounts of sensor data from construction sites can be transmitted back in real time without interruption. Intelligent systems respond instantly, and remote control of heavy machinery and automated equipment for precise operations is expected to become the norm, further improving construction efficiency and safety.

[0003] At the same time, intelligent engineering management systems generate vast amounts of data, which drives applications. These applications, in turn, feed back into the intelligent systems, driving innovation and improvement. However, this also presents new challenges. Smart terminal sensor devices monitor and collect data from various dimensions in real time, and the data generated by these terminal entities often contains sensitive core engineering information. If the collected and transmitted data is not processed in any way, malicious attackers outside the system can obtain this data by eavesdropping on communication channels. Malicious attackers can also analyze this data and obtain valuable information. Summary of the Invention

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide an intelligent fusion analysis method for multi-source confidential data based on an engineering management system.

[0005] The object of the present invention is achieved through the following technical solutions:

[0006] The present invention discloses an intelligent fusion analysis method for multi-source confidential data based on an engineering management system, comprising the following steps:

[0007] S1. System initialization: The engineering management system control center generates the system's public parameters, which include a multiplication cyclic group, generators, a message authentication code, and a set generated based on the Chinese remainder theorem. At the same time, the engineering management system control center securely stores a set of secret parameters based on the Chinese remainder theorem.

[0008] S2. Generating a privacy mask. Multiple intelligent terminal sensor devices and the engineering management system control center logically form a group ring structure, generate a group secret parameter for generating a message authentication code, and generate a privacy mask based on a Lagrange difference polynomial and the group secret parameter.

[0009] S3: Confidentially transmit multi-source data to collect multi-dimensional sensitive data in the engineering management system environment. The intelligent terminal sensor device compresses the multi-dimensional sensitive data according to the Chinese Remainder Theorem method, encrypts the compressed single data block, and sends it to the engineering management system control center;

[0010] S4. Fault-tolerant confidentiality fusion analysis. Assuming that the engineering management system can normally collect multi-dimensional sensitive data and encrypt and send it to the engineering management system control center in a timely manner, the number of smart terminal sensor devices reaches at least the threshold value; then the engineering management system control center will linearly fuse the valid ciphertext and use its own privacy mask and group secret parameters to perform fault-tolerant confidentiality fusion analysis.

[0011] Furthermore, step S1 specifically includes the following steps:

[0012] S11. The engineering management system control center selects two large prime numbers p and q that satisfy p|q-1, sets a p-factorial multiplication cyclic group G, and selects a generator β.

[0013] S12, the engineering management system control center sets a message authentication code HMAC;

[0014] S13, the engineering management system control center sets the multi-source data dimension generated by the intelligent terminal sensor device as η, and sets the corresponding maximum value Max1, Max2, ..., Max for each dimension data. η ;

[0015] S14. The engineering management system control center selects η different prime numbers q1, q2, ...q based on the Chinese remainder theorem. η , every prime number q τ ≥nMax τ , where τ = 1, 2, ..., η, n represents the total number of smart terminal sensor devices;

[0016] S15. The engineering management system control center calculates the product value Q=q1q2…q of n different prime numbersη , and satisfy q>Q, calculate the first set Φ={Q τ |Q τ =Q / q τ ,1≤τ≤η} and the second set

[0017] S16. The engineering management system control center publishes the system public parameter set Λ={p,q,G,β,HMAC,Q,Φ} and secretly stores η different prime numbers q1,q2,...q η and the second set Ω.

[0018] Preferably, in step S2, the engineering management system control center and the n smart terminal sensor devices logically form a group ring structure, generate a group secret parameter for generating a message authentication code, and generate a privacy mask based on the Lagrange difference polynomial and the group secret parameter, specifically including the following steps:

[0019] S21, assuming that the identity of the engineering management system control center is ID0, and the identity of the smart terminal sensor device is ID j , where j = 0, 1, ..., n; smart terminal sensor device ID j In the finite field Z p Randomly select two non-zero elements λ from j and r j ; Calculate the first public element Second public element And the second public element U j Send to the left neighbor node ID in the group ring structure respectively j-1 and right neighbor node ID j+1 ;

[0020] S22, if the smart terminal sensor device ID j From the left neighbor node ID j-1 Receive the third public element From the right neighbor node ID j+1 Receive the fourth public element Smart terminal sensor device ID j Compute the first public cyclic group element And broadcast it; if from other node ID i (0≤i≤n,i≠j) Get the corresponding second public cyclic group element W i (0≤i≤n,i≠j), then the smart terminal sensor device ID j Calculate group secret parameters

[0021] S23, smart terminal sensor device IDj In the finite field Z q Randomly select a non-zero element μ from j , construct a d-1 degree polynomial g j (x) = μ j +b1x+b2x 2 +...b d-1 x d-1 (modq), where b1, b2, ..., b d-1 is the coefficient of the polynomial; using the group secret parameter W, the smart terminal sensor device ID j Calculate the corresponding message authentication code h j,i =HMAC W (ID j ||ID i ||g j (i)||time j )(0≤i≤n,i≠j), where time j It is the smart terminal sensor device ID j timestamp; smart terminal sensor device ID j The first five-tuple information Ψ is transmitted through a secure channel j,i ={ID j ,ID i ,g j (i),h j,i ,time j )Send to other node IDs i (0≤i≤n,i≠j);

[0022] S24, smart terminal sensor device ID j Receive the second five-tuple information Ψ i,j ={ID i ,ID j ,g i (j),h i,j ,time i )(0≤j≤n,j≠i), where time i Is the ID of another node i Timestamp, calculate aggregation information Where α represents the subscript of other smart terminal sensor devices excluding the j-th smart terminal sensor device, and further calculates the privacy mask ω j =ξ j -μ j .

[0023] Preferably, step S3 specifically includes the following steps:

[0024] S31, smart terminal sensor device ID jUsing the first set Φ={Q τ |Q τ =Q / q τ ,1≤τ≤η} collect the η-dimensional sensitive data f j,1 ,f j,2 ,...f j,η Compressed into a single data block f j =f j,1 Q1+f j,2 Q2+...+f j,η Q η modQ;

[0025] S32, smart terminal sensor device ID j Using the corresponding privacy mask ω j and the group secret parameter W to generate a single data block f j Ciphertext CT j =f j +ω j +Wmodq, and the tuple information (CT j ,ID j ) is sent to the engineering management system control center.

[0026] Preferably, step S4 specifically includes the following steps:

[0027] S41. Assume that the number of intelligent terminal sensor devices that can normally collect multi-dimensional sensitive data in the engineering management system and encrypt and send it to the engineering management system control center in a timely manner is t, where t ≥ d-1, and the subscript set of t intelligent terminal sensor devices is S = {1, 2, ... t}; if |S| ≥ d-1, the engineering management system control center will linearly fuse the valid ciphertext to obtain the aggregated ciphertext

[0028] S42, the engineering management system control center uses its own privacy mask ω0 and group secret parameter W to decrypt the aggregate ciphertext CT to obtain the aggregate plaintext F = CT-tW + ω0modq;

[0029] S43, the engineering management system control center uses the second set Get the aggregate value F for each dimension τ =Fp τ modq τ (τ=1,2,...,η); thus, the engineering management system control center can integrate and analyze the calm state value of each dimension data in a fine-grained manner under confidentiality, and finally perform parameter optimization and decision analysis of the relevant engineering management system.

[0030] The beneficial effects of the present invention are:

[0031] 1) This application logically forms a group ring structure of smart terminal sensor devices and the engineering management system control center to generate group secret parameters for generating message authentication codes. In this way, when generating ciphertext data, even if the group password parameters are leaked, the key plaintext information will not be leaked, which can effectively enhance data confidentiality.

[0032] 2) This application has a transmission fault tolerance function. Even if a small number of smart terminal sensor devices have problems in the network and fail to transmit data in time, as long as the system reaches the threshold value, it will not affect the normal intelligent fusion analysis of the system.

[0033] 3) This application adopts the Chinese remainder theorem to compress multi-dimensional data into a single data block, which can effectively reduce the communication overhead of data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Schematic diagram of the steps of the intelligent fusion analysis method of multi-source confidential data based on the engineering management system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work shall fall within the scope of protection of the present invention.

[0036] The present invention is aimed at the field of information security analysis technology of intelligent engineering management system and proposes a multi-source confidential data intelligent fusion analysis method based on engineering management system, which has practical application value. The steps are shown in the following figure. Figure 1 As shown, the following steps are included:

[0037] S1. System initialization: The engineering management system control center generates the system's public parameters, which include a multiplication cyclic group, generators, a message authentication code, and a set generated based on the Chinese remainder theorem. At the same time, the engineering management system control center securely stores a set of secret parameters based on the Chinese remainder theorem.

[0038] S2. Generating a privacy mask. Multiple intelligent terminal sensor devices and the engineering management system control center logically form a group ring structure, generate a group secret parameter for generating a message authentication code, and generate a privacy mask based on a Lagrange difference polynomial and the group secret parameter.

[0039] S3: Confidentially transmit multi-source data to collect multi-dimensional sensitive data in the engineering management system environment. The intelligent terminal sensor device compresses the multi-dimensional sensitive data according to the Chinese Remainder Theorem method, encrypts the compressed single data block, and sends it to the engineering management system control center;

[0040] S4. Fault-tolerant confidentiality fusion analysis. Assuming that the engineering management system can normally collect multi-dimensional sensitive data and encrypt and send it to the engineering management system control center in a timely manner, the number of smart terminal sensor devices reaches at least the threshold value; then the engineering management system control center will linearly fuse the valid ciphertext and use its own privacy mask and group secret parameters to perform fault-tolerant confidentiality fusion analysis.

[0041] Specifically, the engineering management system control center generates the public parameters of the system. Step S1 specifically includes the following steps:

[0042] S11. The engineering management system control center selects two large prime numbers p and q that satisfy p|q-1, sets a p-factorial multiplication cyclic group G, and selects a generator β.

[0043] S12, the engineering management system control center sets a message authentication code HMAC;

[0044] S13, the engineering management system control center sets the multi-source data dimension generated by the intelligent terminal sensor device as η, and sets the corresponding maximum value Max1, Max2, ..., Max for each dimension data. η ;

[0045] S14. The engineering management system control center selects η different prime numbers q1, q2, ...q based on the Chinese remainder theorem. η , every prime number q τ ≥nMax τ , where τ = 1, 2, ..., η, n represents the total number of smart terminal sensor devices;

[0046] S15. The engineering management system control center calculates the product value Q=q1q2…q of n different prime numbers η , and satisfy q>Q, calculate the first set Φ={Q τ |Q τ =Q / q τ ,1≤τ≤η} and the second set

[0047] S16. The engineering management system control center publishes the system public parameter set Λ={p,q,G,β,HMAC,Q,Φ} and secretly stores η different prime numbers q1,q2,...q η and the second set Ω.

[0048] Specifically, in step S2, the engineering management system control center and n smart terminal sensor devices logically form a group ring structure, generate a group secret parameter for generating a message authentication code, and generate a privacy mask based on the Lagrange difference polynomial and the group secret parameter, which specifically includes the following steps:

[0049] S21, assuming that the identity of the engineering management system control center is ID0, and the identity of the smart terminal sensor device is ID j , where j = 0, 1, ..., n; smart terminal sensor device ID j In the finite field Z p Randomly select two non-zero elements λ from j and r j ; Calculate the first public element Second public element And the second public element U j Send to the left neighbor node ID in the group ring structure respectively j-1 and right neighbor node ID j+1 ;

[0050] S22, if the smart terminal sensor device ID j From the left neighbor node ID j-1 Receive the third public element From the right neighbor node ID j+1 Receive the fourth public element Smart terminal sensor device ID j Compute the first public cyclic group element And broadcast it; if from other node ID i (0≤i≤n,i≠j) Get the corresponding second public cyclic group element W i (0≤i≤n,i≠j), then the smart terminal sensor device ID j Calculate group secret parameters

[0051] S23, smart terminal sensor device ID j In the finite field Z q Randomly select a non-zero element μ from j , construct a d-1 degree polynomial g j (x) = μ j +b1x+b2x 2 +...b d-1 x d-1 (modq), where b1, b2, ..., b d-1 is the coefficient of the polynomial; using the group secret parameter W, the smart terminal sensor device ID j Calculate the corresponding message authentication code hj,i =HMAC W (ID j ||ID i ||g j (i)||time j )(0≤i≤n,i≠j), where time j It is the smart terminal sensor device ID j timestamp; smart terminal sensor device ID j The first five-tuple information Ψ is transmitted through a secure channel j,i ={ID j ,ID i ,g j (i),h j,i ,time j )Send to other node IDs i (0≤i≤n,i≠j);

[0052] S24, smart terminal sensor device ID j Receive the second five-tuple information Ψ i,j ={ID i ,ID j ,g i (j),h i,j ,time i )(0≤j≤n,j≠i), where time i Is the ID of another node i Timestamp, calculate aggregation information Where α represents the subscript of other smart terminal sensor devices excluding the j-th smart terminal sensor device, and further calculates the privacy mask ω j =ξ j -μ j .

[0053] Specifically, the intelligent terminal sensor device compresses the multi-dimensional sensitive data collected in the engineering management system environment according to the Chinese remainder theorem method, generates a compressed single data block, encrypts it, and sends it to the engineering management system control center. Step S3 specifically includes the following steps:

[0054] S31, smart terminal sensor device ID j Using the first set Φ={Q τ |Q τ =Q / q τ ,1≤τ≤η} collect the η-dimensional sensitive data f j,1 ,f j,2 ,…f j,η Compressed into a single data block f j =f j,1 Q1+fj,2 Q2+…+f j,η Q η modQ;

[0055] S32, smart terminal sensor device ID j Using the corresponding privacy mask ω j and the group secret parameter W to generate a single data block f j Ciphertext CT j =f j +ω j +Wmodq, and the tuple information (CT j ,ID j ) is sent to the engineering management system control center.

[0056] Specifically, assuming that the engineering management system can normally collect multi-dimensional sensitive data and promptly encrypt and send the data to the engineering management system control center, the number of smart terminal sensor devices reaches at least a threshold value; the engineering management system control center linearly fuses the valid ciphertexts and uses its own privacy mask and group secret parameters to perform fault-tolerant confidentiality fusion analysis. Step S4 specifically includes the following steps:

[0057] S41. Assume that the number of intelligent terminal sensor devices that can normally collect multi-dimensional sensitive data in the engineering management system and encrypt and send it to the engineering management system control center in a timely manner is t, where t ≥ d-1, and the subscript set of t intelligent terminal sensor devices is S = {1, 2, ... t}; if |S| ≥ d-1, the engineering management system control center will linearly fuse the valid ciphertext to obtain the aggregated ciphertext

[0058] S42, the engineering management system control center uses its own privacy mask ω0 and group secret parameter W to decrypt the aggregate ciphertext CT to obtain the aggregate plaintext F = CT-tW + ω0modq;

[0059] S43, the engineering management system control center uses the second set Get the aggregate value F for each dimension τ =Fp τ modq τ (τ=1,2,...,η); thus, the engineering management system control center can integrate and analyze the calm state value of each dimension data in a fine-grained manner under confidentiality, and finally perform parameter optimization and decision analysis of the relevant engineering management system.

[0060] For example, the correctness of the intelligent fusion analysis method for multi-source confidential data based on the engineering management system is derived as follows: the engineering management system control center uses its own privacy mask ω0 and the group secret parameter W to decrypt and obtain the aggregated plaintext. The correctness fusion analysis and decryption are as follows:

[0061]

[0062] Exemplarily, the present invention logically forms a group ring structure of smart terminal sensor devices and the engineering management system control center, and generates group secret parameters for generating message authentication codes. In this way, when generating ciphertext data, even if the group password parameters are leaked, the key plaintext information will not be leaked, which can effectively enhance data confidentiality; it has the function of transmission fault tolerance, even if a small number of smart terminal sensor devices have problems in the network and fail to transmit data in time, as long as the system reaches the threshold value, it will not affect the normal intelligent fusion analysis of the system; at the same time, the Chinese remainder theorem is used to compress multi-dimensional data into a single data block, which can effectively reduce the communication overhead of data transmission.

[0063] The foregoing description is merely a preferred embodiment of the present invention. It should be understood that the present invention is not limited to the form disclosed herein and should not be construed as excluding other embodiments. Rather, the present invention can be used in various other combinations, modifications, and environments and can be modified within the scope of the concept described herein through the above teachings or techniques or knowledge in the relevant field. Modifications and variations made by those skilled in the art that do not depart from the spirit and scope of the present invention are intended to be protected by the appended claims.

Claims

1. An intelligent fusion analysis method for multi-source confidential data based on an engineering management system, characterized by: The following steps are involved: S1. System initialization: The engineering management system control center generates the system's public parameters, which include a multiplication cyclic group, generators, a message authentication code, and a set generated based on the Chinese remainder theorem. At the same time, the engineering management system control center securely stores a set of secret parameters based on the Chinese remainder theorem. S2. Generating a privacy mask. Multiple intelligent terminal sensor devices and the engineering management system control center logically form a group ring structure, generate a group secret parameter for generating a message authentication code, and generate a privacy mask based on a Lagrange difference polynomial and the group secret parameter. S3: Confidentially transmit multi-source data to collect multi-dimensional sensitive data in the engineering management system environment. The intelligent terminal sensor device compresses the multi-dimensional sensitive data according to the Chinese Remainder Theorem method, encrypts the compressed single data block, and sends it to the engineering management system control center; S4. Fault-tolerant confidentiality fusion analysis. Assuming that the engineering management system can normally collect multi-dimensional sensitive data, the intelligent terminal sensor devices will promptly encrypt the multi-dimensional sensitive data and send it to the engineering management system control center. If the number of intelligent terminal sensor devices reaches at least the threshold value, the engineering management system control center will linearly fuse the valid ciphertexts and use its own privacy mask and group secret parameters to perform fault-tolerant confidentiality fusion analysis.

2. The intelligent fusion analysis method for multi-source confidential data based on engineering management system according to claim 1 is characterized in that: Step S1 specifically includes the following steps: S11. The engineering management system control center selects two large prime numbers p and q that satisfy p|q-1, sets a p-factorial multiplication cyclic group G, and selects a generator β. S12, the engineering management system control center sets a message authentication code HMAC; S13, the engineering management system control center sets the multi-source data dimension generated by the intelligent terminal sensor device as η, and sets the corresponding maximum value Max1, Max2, ..., Max for each dimension data. η ; S14. The engineering management system control center selects η different prime numbers q1, q2, ...q based on the Chinese remainder theorem. η , every prime number q τ ≥nMax τ , where τ = 1, 2, ..., η, n represents the total number of smart terminal sensor devices; S15. The engineering management system control center calculates the product value Q=q1q2…q of n different prime numbers η , and satisfy q>Q, calculate the first set Φ={Q τ |Q τ =Q / q τ ,1≤τ≤η} and the second set S16. The engineering management system control center publishes the system public parameter set Λ={p,q,G,β,HMAC,Q,Φ} and secretly stores η different prime numbers q1,q2,...q η and the second set Ω.

3. The intelligent fusion analysis method for multi-source confidential data based on engineering management system according to claim 2 is characterized in that: In step S2, the engineering management system control center and n smart terminal sensor devices logically form a group ring structure, generate a group secret parameter for generating a message authentication code, and generate a privacy mask based on the Lagrange difference polynomial and the group secret parameter. Specifically, the following steps are included: S21, assuming that the identity of the engineering management system control center is ID0, and the identity of the smart terminal sensor device is ID j , where j = 0, 1, ..., n; smart terminal sensor device ID j In the finite field Z p Randomly select two non-zero elements λ from j and r j ; Calculate the first public element Second public element And the second public element U j Send to the left neighbor node ID in the group ring structure respectively j-1 and right neighbor node ID j+1 ; S22, if the smart terminal sensor device ID j From the left neighbor node ID j-1 Receive the third public element From the right neighbor node ID j+1 Receive the fourth public element Smart terminal sensor device ID j Compute the first public cyclic group element And broadcast it; if from other node ID i (0≤i≤n,i≠j) Get the corresponding second public cyclic group element W i (0≤i≤n,i≠j), then the smart terminal sensor device ID j Calculate group secret parameters S23, smart terminal sensor device ID j In the finite field Z q Randomly select a non-zero element μ from j , construct a d-1 degree polynomial g j (x) = μ j +b1x+b2x 2 +...b d-1 x d-1 (modq), where b1, b2, ..., b d-1 is the coefficient of the polynomial; using the group secret parameter W, the smart terminal sensor device ID j Calculate the corresponding message authentication code h j,i =HMAC W (ID j ||ID i ||g j (i)||time j )(0≤i≤n,i≠j), where time j It is the smart terminal sensor device ID j timestamp; smart terminal sensor device ID j The first five-tuple information Ψ is transmitted through a secure channel j,i ={ID j ,ID i ,g j (i),h j,i ,time j )Send to other node IDs i (0≤i≤n,i≠j); S24, smart terminal sensor device ID j Receive the second five-tuple information Ψ i,j ={ID i ,ID j ,g i (j),h i,j ,time i )(0≤j≤n,j≠i), where time i Is the ID of another node i Timestamp, calculate aggregation information Where α represents the subscript of other smart terminal sensor devices excluding the j-th smart terminal sensor device, and further calculates the privacy mask ω j =ξ j -μ j .

4. The intelligent fusion analysis method for multi-source confidential data based on engineering management system according to claim 3 is characterized in that: Step S3 specifically includes the following steps: S31, smart terminal sensor device ID j Using the first set Φ={Q τ |Q τ =Q / q τ ,1≤τ≤η} collect the η-dimensional sensitive data f j,1 ,f j,2 ,...f j,η Compressed into a single data block f j =f j,1 Q1+f j,2 Q2+…+f j,η Q η mod Q; S32, smart terminal sensor device ID j Using the corresponding privacy mask ω j and the group secret parameter W to generate a single data block f j Ciphertext CT j =f j +ω j +Wmodq, and the tuple information (CT j ,ID j ) is sent to the engineering management system control center.

5. The intelligent fusion analysis method for multi-source confidential data based on engineering management system according to claim 4 is characterized in that: Step S4 specifically includes the following steps: S41. Assume that the number of intelligent terminal sensor devices that can normally collect multi-dimensional sensitive data in the engineering management system and encrypt and send it to the engineering management system control center in a timely manner is t, where t ≥ d-1, and the subscript set of t intelligent terminal sensor devices is S = {1, 2, ... t}; if |S| ≥ d-1, the engineering management system control center will linearly fuse the valid ciphertext to obtain the aggregated ciphertext S42, the engineering management system control center uses its own privacy mask ω0 and group secret parameter W to decrypt the aggregate ciphertext CT to obtain the aggregate plaintext F = CT-tW + ω0 mod q; S43, the engineering management system control center uses the second set Get the aggregate value F for each dimension τ =Fp τ mod q τ (τ=1,2,...,η); Therefore, the engineering management system control center can integrate and analyze the calm state value of each dimension data in a fine-grained manner under confidentiality, and finally perform parameter optimization and decision analysis of the relevant engineering management system.

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