Data processing information operation and maintenance method based on digital management and visual analysis

Abstract

The invention discloses a data processing information operation and maintenance method based on digital management and visual analysis, and relates to the technical field of data processing information operation and maintenance, and the method comprises the steps: constructing a data information processing operation and maintenance cloud platform, evaluating the engineering matching degree between historical engineering projects, and obtaining a comparison historical engineering project; evaluating the engineering monitoring indexes in the safety monitoring data and the key degree of the influence on the safety of the engineering project to obtain key safety monitoring data; obtaining key safety monitoring data of the engineering project, obtaining safety data of the engineering project from the cloud platform, obtaining historical safety accident records of a comparison historical engineering project, and optimizing and adjusting the safety data of the engineering project to obtain target safety data; and monitoring the construction site of the engineering project in the current period, carrying out safety risk assessment on the engineering project in combination with the target safety data of the engineering project, and carrying out safety risk prompt on workers of the engineering project through the cloud platform.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing information operation and maintenance, and in particular to a data processing information operation and maintenance method based on digital management and visual analysis. Background Art

[0002] The safety of construction projects is an important factor in whether construction projects can be successfully completed. In order to ensure the safety of construction projects, it is necessary to supervise construction projects. At present, the supervision of construction projects is mainly based on the safety inspection plan formulated, and staff are regularly dispatched to inspect the site to check the implementation of various safety protection measures. However, this will make the degree of dependence on personnel too high, and over-reliance on the consciousness and professionalism of the workers. In order to solve the problems brought by manual supervision, sensor equipment is also used in some construction project supervision to monitor the data in the construction project environment, identify safety hazards in the construction site, and discover potential safety hazards in time. However, there is a problem in this. The use of sensors to supervise the engineering environment and identify according to preset thresholds or related data may not be consistent with the actual situation of the construction project. In addition, it is impossible to use historical construction projects to improve and optimize the safety supervision of construction projects in the current cycle. It is very likely that the safety risk identification of construction projects will be inaccurate, which will not only cause the construction progress of the construction project to be disturbed, but may even cause accidental injuries to workers or other personnel. Summary of the invention

[0003] The purpose of the present invention is to provide a data processing information operation and maintenance method based on digital management and visual analysis to solve the problems raised in the prior art.

[0004] To achieve the above object, the present invention provides the following technical solution: a data processing information operation and maintenance method based on digital management and visual analysis, the method comprising:

[0005] Step S100: construct a data information processing and operation cloud platform, obtain the engineering data of the engineering project, obtain the historical engineering data of the historical engineering projects in the cloud platform, evaluate the engineering matching degree between the historical engineering projects and the project, and obtain the comparison historical engineering projects;

[0006] Step S200: Obtain historical safety warning records of the project, obtain safety monitoring data of the project, evaluate the criticality of the project monitoring indicators in the safety monitoring data to the safety of the project based on the historical safety warning records, and obtain key safety monitoring data;

[0007] Step S300: Acquire key safety monitoring data of the project, obtain safety data of the project from the cloud platform, obtain historical safety accident records of historical projects for comparison, optimize and adjust the safety data of the project, and obtain target safety data;

[0008] Step S400: Monitor the construction site of the project in the current cycle, conduct a safety risk assessment on the project in combination with the target safety data of the project, and provide safety risk warnings to the project staff through the cloud platform.

[0009] Furthermore, step S100 includes:

[0010] Step S101: Acquire engineering data of the engineering project, the engineering data including data corresponding to the engineering qualitative indicators and engineering quantitative indicators of the engineering project, and acquire historical engineering data of each historical engineering project from the cloud platform, the historical engineering data including data corresponding to the engineering qualitative indicators and engineering quantitative indicators in the historical engineering projects;

[0011] Step S102: Evaluate the engineering matching degree between each historical engineering project and the engineering project, wherein the specific process of evaluating the engineering matching degree between the a-th historical engineering project and the engineering project is as follows:

[0012] Acquire text information in the data of each engineering qualitative indicator in the engineering project and the a-th historical engineering project, perform text preprocessing on the text information of each engineering qualitative indicator in the engineering project, extract and aggregate several project keywords of the b-th engineering qualitative indicator in the engineering project, and obtain a project keyword group;

[0013] Step S103: Calculate the marked document frequency of several project keywords in the keyword group of the engineering qualitative index of the engineering project, where the marked document frequency D of the cth project keyword in the project key group is c :

[0014]

[0015] Among them, M sum is the total number of historical engineering projects; M c is the total number of historical engineering projects containing the cth project keyword in the text information of the bth project qualitative indicator;

[0016] Step S104: Calculate the feature weight value F of the cth item keyword in the item key group c :

[0017] F c =D c ×T c ,

[0018] Among them, T c is the frequency of occurrence of the cth project keyword in the text information of the bth engineering qualitative indicator in the engineering project;

[0019] Step S105: obtaining feature weight values ​​of several project keywords in the project keyword group of the b-th project qualitative indicator of the project, and constructing a feature vector of the b-th project qualitative indicator of the project based on the feature weight values;

[0020] Get the characteristic vectors of each qualitative engineering index of the a-th historical engineering project, get the characteristic vectors of each qualitative engineering index of the engineering project, and calculate the first characteristic matching value R between the a-th historical engineering project and the engineering project 1 a :

[0021]

[0022] Where, j is the total number of qualitative indicators of each project; E i is the characteristic vector of the qualitative index of the i-th project in the project; E a,i is the characteristic vector of the qualitative indicators of the i-th project in the a-th historical engineering project;

[0023] Step S106: Obtain the average value of each engineering quantitative index in the engineering project and the ath historical engineering project, and calculate the second feature matching value R between the ath historical engineering project and the engineering project. 2 a :

[0024]

[0025] Where n is the total number of quantitative indicators of each project in the project; Y z is the average value of the quantitative index of the zth project in the project; Y a,z is the average value of the quantitative index of the zth project in the ath historical project; Y z,max Y is the maximum value of the average value of the z-th engineering quantitative index in each historical engineering project; z,min is the minimum value of the average value of the zth engineering quantitative index in each historical engineering project;

[0026] Calculate the feature matching value R between the engineering project and the ath historical engineering project a :

[0027]

[0028] Wherein, μ1 and μ2 represent the preset first characteristic matching coefficient and second characteristic matching coefficient respectively, and μ1+μ2=1;

[0029] Step S107: When the feature matching value R a If the feature matching degree between the engineering project and the a-th historical engineering project is greater than a preset feature matching threshold, the engineering project is determined to have an engineering matching degree with the a-th historical engineering project, and the a-th historical engineering project is recorded as a reference historical engineering project for the engineering project;

[0030] In the above steps, the matching degree between historical engineering projects and engineering projects is analyzed from two perspectives by calculating the first feature matching value and the first feature matching value of historical engineering projects and engineering projects. Because engineering projects actually contain text content and data content, analyzing the matching degree between the two from the perspective of engineering qualitative indicators containing text content and engineering quantitative indicators containing data content is not only comprehensive, but also makes the analysis results more accurate, and is also beneficial to the subsequent data processing effect.

[0031] Further, step S200 includes:

[0032] Step S201: obtaining a reference historical project of the project, obtaining a historical safety warning record of the reference historical project, and obtaining historical safety accident data of the reference historical project from the historical safety warning record, wherein the historical safety accident data includes data corresponding to various engineering monitoring indicators of the reference historical project within the historical period to which the historical safety warning record belongs;

[0033] Step S202: Evaluate the criticality of each project monitoring indicator in the security monitoring data to the project safety. The criticality of a project monitoring indicator in the security monitoring data to the project safety is:

[0034] When the maximum value of a certain engineering monitoring indicator of a reference historical engineering project in a certain historical safety warning record is greater than a preset threshold value of a certain engineering monitoring indicator, the certain historical safety warning record is recorded as a characteristic historical safety warning record of a certain engineering monitoring indicator;

[0035] Step S203: Calculate the key value G of a certain engineering monitoring indicator in the historical engineering project = G △ / G sum , where G △ is the total number of characteristic historical safety warning records of a certain engineering monitoring indicator in the control historical engineering projects, G sum The total number of historical safety warning records in the historical engineering projects;

[0036] Step S204: Calculate the characteristic key value U of a certain engineering monitoring indicator:

[0037]

[0038] Among them, δ is the total number of historical engineering projects for the project; G s is the key value of a certain engineering monitoring indicator in the sth comparison historical engineering project of the engineering project;

[0039] Step S205: When the characteristic key value U is greater than the preset characteristic key threshold, a certain engineering monitoring indicator is recorded as a key engineering monitoring indicator of the engineering project, and several key engineering monitoring indicators of the engineering project are aggregated to obtain key safety monitoring data of the engineering project.

[0040] Furthermore, step S300 includes:

[0041] Step S301: Acquire key safety monitoring data of the project, extract key engineering monitoring indicators of the project from the key safety monitoring data, and acquire safety data of the project from the cloud platform, wherein the safety data includes preset thresholds of various engineering monitoring indicators in the project;

[0042] Step S302: Obtain the maximum value of the kth engineering monitoring indicator that is judged to be abnormal in each historical safety accident record of the reference historical engineering project, and record the maximum value as the characteristic value ζ of the kth engineering monitoring indicator in the reference historical engineering project k , where the kth engineering monitoring indicator is the key engineering monitoring indicator in the safety data of the engineering project;

[0043] Step S303: Calculate the threshold abnormality level V of the kth engineering monitoring indicator in the engineering project k =|ζ′ k -ζ k,max | / ζ′ k , where ζ′ k is the threshold value of the kth engineering monitoring indicator in the project, ζ k,max is the maximum value of the characteristic value of the kth engineering monitoring indicator among all the historical engineering projects of the engineering project;

[0044] The threshold corresponding to the kth engineering monitoring indicator in the engineering project is optimized. The specific project is when the threshold abnormality V k If the abnormal degree of the characteristic is greater than the preset threshold, the threshold of the k-th engineering monitoring indicator in the project is judged to be abnormal, and ζ k,max ζ′ k Replace and optimize the safety data of the engineering project to obtain the target safety data of the engineering project.

[0045] Furthermore, step S400 includes:

[0046] Step S401: using sensor equipment to monitor data on the construction site of the engineering project in the current cycle, and obtaining monitoring data of the engineering project in the current cycle, wherein the monitoring data includes data corresponding to various engineering monitoring indicators of the engineering project in the current cycle;

[0047] Step S402: When the maximum value of a certain engineering monitoring indicator of the engineering project in the current cycle is greater than the threshold value of a certain engineering monitoring indicator in the target safety data of the engineering project, it is determined that there is a risk in the engineering project, a curve graph of each engineering monitoring indicator of the engineering project is drawn, and a certain engineering monitoring indicator is marked. The indicator is then displayed visually to the project staff through the cloud platform to remind the staff that the project has safety risks.

[0048] In order to better implement the above method, a data processing information operation and maintenance system based on digital management and visual analysis is also proposed. The system includes an engineering matching degree analysis module, a key data evaluation module, a target safety data module, and a visual safety analysis module;

[0049] The engineering matching degree analysis module is used to compare the engineering matching degree between historical engineering projects and projects, and obtain the comparative historical engineering projects;

[0050] The key data evaluation module is used to evaluate the engineering monitoring indicators in the safety monitoring data, the criticality of their impact on the safety of the engineering project, and obtain key safety monitoring data;

[0051] The target safety data module is used to obtain the historical safety accident records of the historical engineering projects, optimize and adjust the safety data of the engineering projects, and obtain the target safety data;

[0052] The visual safety analysis module is used to conduct visual analysis of safety risks in engineering projects and provide safety risk warnings to project staff through the cloud platform.

[0053] Further, the engineering matching degree analysis module includes a feature matching value unit and an engineering matching degree analysis unit;

[0054] A feature matching value unit, used to calculate the feature matching value between the engineering project and each historical engineering project;

[0055] The engineering matching degree analysis unit is used to analyze the engineering matching degree between the engineering project and various historical engineering projects according to the characteristic matching value, so as to obtain the comparison historical engineering projects.

[0056] Further, the key data evaluation module includes a characteristic key value unit and a key data evaluation unit;

[0057] The characteristic key value unit is used to calculate the characteristic key values ​​of various engineering monitoring indicators of the engineering project;

[0058] The key data evaluation unit is used to evaluate various engineering monitoring indicators in the safety monitoring data according to characteristic key values, the criticality of their impact on the safety of the engineering project, and the key safety monitoring data of the engineering project.

[0059] Further, the target safety data module includes a threshold abnormality degree unit and a target safety data unit;

[0060] The threshold abnormality degree unit is used to calculate the threshold abnormality degree of each engineering monitoring indicator in the engineering project;

[0061] The target safety data unit is used to determine the abnormality of various engineering monitoring indicators of the project according to the threshold abnormality degree of each engineering monitoring indicator, and optimize the safety data of the project to obtain the target safety data of the project.

[0062] Furthermore, the visual safety analysis module includes a visual safety analysis unit and a safety prompt unit;

[0063] The visual safety analysis unit is used to monitor the construction site of the project in the current cycle and perform visual analysis on the monitoring data. When the maximum value of a certain engineering monitoring indicator of the project in the current cycle is greater than the threshold value of a certain engineering monitoring indicator in the target safety data of the project, it is determined that the project is at risk, and a curve chart of each engineering monitoring indicator of the project is drawn, and a certain engineering monitoring indicator is marked;

[0064] The safety reminder unit is used to provide visual display to the project staff through the cloud platform and remind the staff that the project has safety risks.

[0065] Compared with the prior art, the beneficial effects of the present invention are: the present invention realizes digital management and visual analysis of construction projects, ensures the safety of construction projects, matches engineering projects with historical engineering projects through data management technology, obtains comparative historical engineering projects, and evaluates the engineering monitoring indicators in the safety monitoring data to determine the critical degree of impact on the safety of engineering projects, finds the key engineering monitoring indicators that affect the safety of engineering projects, and optimizes and adjusts the safety data of engineering projects based on the historical safety accident records of comparative historical engineering projects, and then performs a visual analysis of safety risks of engineering projects based on the optimized target safety data, thereby realizing intelligent identification of safety risks of construction projects, which not only ensures the normal progress of the construction project, but also avoids personal injury and economic losses caused by safety accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a method flow chart of the data processing information operation and maintenance method based on digital management and visual analysis of the present invention;

[0067] Figure 2 It is a module schematic diagram of the data processing information operation and maintenance method based on digital management and visual analysis of the present invention. DETAILED DESCRIPTION

[0068] 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.

[0069] Example: Figure 1-Figure 2 As shown, the present invention provides a technical solution, a data processing information operation and maintenance method based on digital management and visual analysis, the method comprising:

[0070] Step S100: construct a data information processing and operation cloud platform, obtain the engineering data of the engineering project, obtain the historical engineering data of the historical engineering projects in the cloud platform, evaluate the engineering matching degree between the historical engineering projects and the project, and obtain the comparison historical engineering projects;

[0071] Wherein, step S100 includes:

[0072] Step S101: Acquire engineering data of the engineering project, the engineering data including data corresponding to the engineering qualitative indicators and engineering quantitative indicators of the engineering project, and acquire historical engineering data of each historical engineering project from the cloud platform, the historical engineering data including data corresponding to the engineering qualitative indicators and engineering quantitative indicators in the historical engineering projects;

[0073] For example, engineering qualitative indicators include project type, project risk characteristics, etc.;

[0074] For example, engineering quantitative indicators include total project cost, project duration, etc.;

[0075] Step S102: Evaluate the engineering matching degree between each historical engineering project and the engineering project. Among them, the specific process of evaluating the engineering matching degree between the a-th historical engineering project and the engineering project is as follows:

[0076] Obtain the text information in the data of each engineering qualitative indicator in the engineering project and the a-th historical engineering project, perform text preprocessing on the text information of each engineering qualitative indicator in the engineering project, extract several project keywords of the b-th engineering qualitative indicator in the engineering project and gather them to obtain a project keyword group;

[0077] For example, preprocessing includes cleaning: removing irrelevant symbols, special characters, and redundant spaces, word segmentation: decomposing the text into words or phrases, and stop word removal: removing common meaningless words (such as "de", "shi", etc.) from the word segmentation results;

[0078] Step S103: Calculate the labeled document frequency of several project keywords in the keyword group of the engineering qualitative indicators of the engineering project. Among them, the labeled document frequency D of the c-th project keyword in the project key group c :

[0079]

[0080] Among them, M sum is the total number of each historical engineering project; M c is the total number of historical engineering projects containing the c-th project keyword in the text information of the b-th engineering qualitative indicator;

[0081] Step S104: Calculate the feature weight value F of the c-th project keyword in the project key group c :

[0082] F c = D c × T c ,

[0083] Among them, T c is the frequency of occurrence of the c-th project keyword in the text information of the b-th engineering qualitative indicator in the engineering project;

[0084] Step S105: obtaining feature weight values ​​of several project keywords in the project keyword group of the b-th project qualitative indicator of the project, and constructing a feature vector of the b-th project qualitative indicator of the project based on the feature weight values;

[0085] Get the characteristic vectors of each qualitative engineering index of the a-th historical engineering project, get the characteristic vectors of each qualitative engineering index of the engineering project, and calculate the first characteristic matching value R between the a-th historical engineering project and the engineering project 1 a :

[0086]

[0087] Where, j is the total number of qualitative indicators of each project; E i is the characteristic vector of the qualitative index of the i-th project in the project; E a,i is the characteristic vector of the qualitative indicators of the i-th project in the a-th historical engineering project;

[0088] Step S106: Obtain the average value of each engineering quantitative index in the engineering project and the ath historical engineering project, and calculate the second feature matching value R between the ath historical engineering project and the engineering project. 2 a :

[0089]

[0090] Where n is the total number of quantitative indicators of each project in the project; Y z is the average value of the quantitative index of the zth project in the project; Y a,z is the average value of the quantitative index of the zth project in the ath historical project; Y z,max Y is the maximum value of the average value of the z-th engineering quantitative index in each historical engineering project; z,min is the minimum value of the average value of the zth engineering quantitative index in each historical engineering project;

[0091] Calculate the feature matching value R between the engineering project and the ath historical engineering project a :

[0092]

[0093] Wherein, μ1 and μ2 represent the preset first characteristic matching coefficient and second characteristic matching coefficient respectively, and μ1+μ2=1;

[0094] For example, the first feature matching value R of the first historical project and the project 2 1 is 0.7; the second characteristic matching value R of the first historical project and the project2 1 is 0.8; the first feature matching coefficient μ1 and the second feature matching coefficient μ2 are 0.4 and 0.6 respectively;

[0095] Calculate the feature matching value R1 between the project and the first historical project:

[0096] R1=0.4×0.7+0.6×0.8=0.76,

[0097] Step S107: When the feature matching value R a If the feature matching degree between the engineering project and the a-th historical engineering project is greater than a preset feature matching threshold, the engineering project is determined to have an engineering matching degree with the a-th historical engineering project, and the a-th historical engineering project is recorded as a reference historical engineering project for the engineering project;

[0098] Step S200: Obtain historical safety warning records of the project, obtain safety monitoring data of the project, evaluate the criticality of the project monitoring indicators in the safety monitoring data to the safety of the project based on the historical safety warning records, and obtain key safety monitoring data;

[0099] Wherein, step S200 includes:

[0100] Step S201: obtaining a reference historical project of the project, obtaining a historical safety warning record of the reference historical project, and obtaining historical safety accident data of the reference historical project from the historical safety warning record, wherein the historical safety accident data includes data corresponding to various engineering monitoring indicators of the reference historical project within the historical period to which the historical safety warning record belongs;

[0101] For example, various engineering monitoring indicators include worker health monitoring rates and temperatures;

[0102] Step S202: Evaluate the criticality of each project monitoring indicator in the security monitoring data to the project safety. The criticality of a project monitoring indicator in the security monitoring data to the project safety is:

[0103] When the maximum value of a certain engineering monitoring indicator of a reference historical engineering project in a certain historical safety warning record is greater than a preset threshold value of a certain engineering monitoring indicator, the certain historical safety warning record is recorded as a characteristic historical safety warning record of a certain engineering monitoring indicator;

[0104] Step S203: Calculate the key value G of a certain engineering monitoring indicator in the historical engineering project = G △ / G sum , where G △is the total number of characteristic historical safety warning records of a certain engineering monitoring indicator in the control historical engineering projects, G sum The total number of historical safety warning records in the historical engineering projects;

[0105] Step S204: Calculate the characteristic key value U of a certain engineering monitoring indicator:

[0106]

[0107] Among them, δ is the total number of historical engineering projects for the project; G s is the key value of a certain engineering monitoring indicator in the sth comparison historical engineering project of the engineering project;

[0108] For example, the total number of reference historical engineering projects of the engineering project δ is 3; in the first reference historical engineering project of the engineering project, the marking key value G1 of a certain engineering monitoring indicator is 0.7; in the second reference historical engineering project of the engineering project, the marking key value G2 of a certain engineering monitoring indicator is 0.8; in the third reference historical engineering project of the engineering project, the marking key value G3 of a certain engineering monitoring indicator is 0.9;

[0109] Calculate the characteristic key value U of a certain engineering monitoring indicator:

[0110]

[0111] Step S205: When the characteristic key value U is greater than the preset characteristic key threshold, a certain engineering monitoring indicator is recorded as a key engineering monitoring indicator of the engineering project, and several key engineering monitoring indicators of the engineering project are collected to obtain key safety monitoring data of the engineering project;

[0112] Step S300: Acquire key safety monitoring data of the project, obtain safety data of the project from the cloud platform, obtain historical safety accident records of historical projects for comparison, optimize and adjust the safety data of the project, and obtain target safety data;

[0113] Wherein, step S300 includes:

[0114] Step S301: Acquire key safety monitoring data of the project, extract key engineering monitoring indicators of the project from the key safety monitoring data, and acquire safety data of the project from the cloud platform, wherein the safety data includes preset thresholds of various engineering monitoring indicators in the project;

[0115] Step S302: Obtain the maximum value of the kth engineering monitoring indicator that is judged to be abnormal in each historical safety accident record of the reference historical engineering project, and record the maximum value as the characteristic value ζ of the kth engineering monitoring indicator in the reference historical engineering project k , where the kth engineering monitoring indicator is the key engineering monitoring indicator in the safety data of the engineering project;

[0116] Step S303: Calculate the threshold abnormality level V of the kth engineering monitoring indicator in the engineering project k =|ζ′ k -ζ k,max | / ζ′ k , where ζ′ k is the threshold value of the kth engineering monitoring indicator in the project, ζ k,max is the maximum value of the characteristic value of the kth engineering monitoring indicator among all the historical engineering projects of the engineering project;

[0117] The threshold corresponding to the kth engineering monitoring indicator in the engineering project is optimized. The specific project is when the threshold abnormality V k If the abnormal degree of the characteristic is greater than the preset threshold, the threshold of the k-th engineering monitoring indicator in the project is judged to be abnormal, and ζ k,max ζ′ k Replace and optimize the safety data of the project to obtain the target safety data of the project;

[0118] Step S400: monitor the construction site of the project in the current cycle, and conduct a safety risk assessment on the project in combination with the target safety data of the project, and provide safety risk warnings to the project staff through the cloud platform;

[0119] Wherein, step S400 includes:

[0120] Step S401: using sensor equipment to monitor data on the construction site of the engineering project in the current cycle, and obtaining monitoring data of the engineering project in the current cycle, wherein the monitoring data includes data corresponding to various engineering monitoring indicators of the engineering project in the current cycle;

[0121] Step S402: When the maximum value of a certain engineering monitoring indicator of the engineering project in the current cycle is greater than the threshold value of a certain engineering monitoring indicator in the target safety data of the engineering project, it is determined that there is a risk in the engineering project, a curve graph of each engineering monitoring indicator of the engineering project is drawn, and a certain engineering monitoring indicator is marked. The indicator is then displayed visually to the project staff through the cloud platform to remind the staff that the project has safety risks.

[0122] In order to better implement the above method, a data processing information operation and maintenance system based on digital management and visual analysis is also proposed. The system includes an engineering matching degree analysis module, a key data evaluation module, a target safety data module, and a visual safety analysis module;

[0123] The engineering matching degree analysis module is used to compare the engineering matching degree between historical engineering projects and projects, and obtain the comparative historical engineering projects;

[0124] The key data evaluation module is used to evaluate the engineering monitoring indicators in the safety monitoring data, the criticality of their impact on the safety of the engineering project, and obtain key safety monitoring data;

[0125] The target safety data module is used to obtain the historical safety accident records of the historical engineering projects, optimize and adjust the safety data of the engineering projects, and obtain the target safety data;

[0126] Visual safety analysis module, used to conduct visual safety risk analysis of engineering projects and provide safety risk warnings to project staff through the cloud platform;

[0127] Among them, the engineering matching degree analysis module includes a feature matching value unit and an engineering matching degree analysis unit;

[0128] A feature matching value unit, used to calculate the feature matching value between the engineering project and each historical engineering project;

[0129] The engineering matching degree analysis unit is used to analyze the engineering matching degree between the engineering project and various historical engineering projects according to the characteristic matching value, and obtain the comparison historical engineering projects;

[0130] Among them, the key data evaluation module includes a characteristic key value unit and a key data evaluation unit;

[0131] The characteristic key value unit is used to calculate the characteristic key values ​​of various engineering monitoring indicators of the engineering project;

[0132] The key data evaluation unit is used to evaluate the various engineering monitoring indicators in the safety monitoring data, the criticality of the impact on the safety of the engineering project, and the key safety monitoring data of the engineering project according to the characteristic key values;

[0133] Among them, the target safety data module includes a threshold abnormality degree unit and a target safety data unit;

[0134] The threshold abnormality degree unit is used to calculate the threshold abnormality degree of each engineering monitoring indicator in the engineering project;

[0135] The target safety data unit is used to determine the abnormality of each engineering monitoring indicator of the project according to the threshold abnormality degree of each engineering monitoring indicator, and optimize the safety data of the project to obtain the target safety data of the project;

[0136] Among them, the visual safety analysis module includes a visual safety analysis unit and a safety prompt unit;

[0137] The visual safety analysis unit is used to monitor the construction site of the project in the current cycle and perform visual analysis on the monitoring data. When the maximum value of a certain engineering monitoring indicator of the project in the current cycle is greater than the threshold value of a certain engineering monitoring indicator in the target safety data of the project, it is determined that the project is at risk, and a curve chart of each engineering monitoring indicator of the project is drawn, and a certain engineering monitoring indicator is marked;

[0138] The safety reminder unit is used to provide visual display to the project staff through the cloud platform and remind the staff that the project has safety risks.

[0139] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations falling within the meaning and scope of the equivalent elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. A data processing information operation and maintenance method based on digital management and visual analysis, characterized in that: The method comprises: Step S100: constructing a data information processing and operation cloud platform, acquiring engineering data of the engineering project, acquiring historical engineering data of historical engineering projects in the cloud platform, evaluating the degree of engineering matching between the historical engineering projects and the project, and obtaining a comparison historical engineering project; Step S200: Obtain historical safety warning records of the project and the safety monitoring data of the project, and evaluate the criticality of the project monitoring indicators in the safety monitoring data to the safety of the project based on the historical safety warning records, and obtain key safety monitoring data; Step S300: Acquire key safety monitoring data of the engineering project, acquire safety data of the engineering project from the cloud platform, acquire historical safety accident records of the historical engineering project, optimize and adjust the safety data of the engineering project, and obtain target safety data; Step S400: monitor the construction site of the project in the current cycle, conduct a safety risk assessment on the project in combination with the target safety data of the project, and provide safety risk warnings to the project staff through the cloud platform.

2. The data processing information operation and maintenance method based on digital management and visual analysis according to claim 1 is characterized in that: The step S100 includes: Step S101: Acquire engineering data of the engineering project, the engineering data including data corresponding to the engineering qualitative indicators and engineering quantitative indicators of the engineering project, and acquire historical engineering data of each historical engineering project from the cloud platform, the historical engineering data including data corresponding to the engineering qualitative indicators and engineering quantitative indicators in the historical engineering projects; Step S102: evaluating the engineering matching degree between each of the historical engineering projects and the engineering project, wherein the specific process of evaluating the engineering matching degree between the a-th historical engineering project and the engineering project is as follows: Acquire text information in the data of each engineering qualitative indicator in the engineering project and the a-th historical engineering project, perform text preprocessing on the text information of each engineering qualitative indicator in the engineering project, extract and aggregate several project keywords of the b-th engineering qualitative indicator in the engineering project, and obtain a project keyword group; Step S103: Calculate the marked document frequency of the project keywords in the keyword group of the engineering qualitative index of the engineering project, wherein the marked document frequency D of the cth project keyword in the project key group is c : Among them, M sum is the total number of the historical engineering projects; M c is the total number of historical engineering projects containing the cth project keyword in the text information of the bth engineering qualitative indicator; Step S104: Calculate the feature weight value F of the cth item keyword in the item key group c : F c =D c ×T c , Among them, T c is the frequency of occurrence of the cth project keyword in the text information of the bth engineering qualitative indicator in the engineering project; Step S105: obtaining feature weight values ​​of the plurality of project keywords in the project keyword group of the b-th project qualitative indicator of the project, and constructing a feature vector of the b-th project qualitative indicator of the project based on the feature weight values; Obtain the characteristic vector of each engineering qualitative index of the a-th historical engineering project, obtain the characteristic vector of each engineering qualitative index of the engineering project, calculate the first characteristic matching value R between the a-th historical engineering project and the engineering project 1 a: Wherein, j is the total number of qualitative indicators of each project; E i is the characteristic vector of the qualitative index of the i-th project in the engineering project; E a,i is the characteristic vector of the qualitative index of the i-th project in the a-th historical project; Step S106: Obtain the average value of each engineering quantitative index in the engineering project and the a-th historical engineering project, and calculate the second feature matching value R between the a-th historical engineering project and the engineering project. 2 a : Wherein, n is the total number of the quantitative indicators of each project in the project; Y z is the average value of the quantitative index of the zth project in the project; a,z is the average value of the zth engineering quantitative index in the ath historical engineering project; Y z,max Y is the maximum value of the average value of the z-th engineering quantitative index in each of the historical engineering projects; z,min is the minimum value of the average value of the zth engineering quantitative index among the historical engineering projects; Calculate the feature matching value R between the engineering project and the ath historical engineering project a : Wherein, μ1 and μ2 represent the preset first characteristic matching coefficient and second characteristic matching coefficient respectively, and μ1+μ2=1; Step S107: When the feature matching value R a If the feature matching degree between the engineering project and the a-th historical engineering project is greater than a preset feature matching threshold, it is determined that there is an engineering matching degree between the engineering project and the a-th historical engineering project, and the a-th historical engineering project is recorded as a reference historical engineering project for the engineering project.

3. The data processing information operation and maintenance method based on digital management and visual analysis according to claim 1 is characterized in that: The step S200 includes: Step S201: obtaining a reference historical project of the engineering project, obtaining a historical safety warning record of the reference historical project, and obtaining historical safety accident data of the reference historical project from the historical safety warning record, wherein the historical safety accident data includes data corresponding to various engineering monitoring indicators of the reference historical project within the historical period to which the historical safety warning record belongs; Step S202: Evaluate the criticality of each engineering monitoring indicator in the security monitoring data to the safety of the engineering project, wherein the criticality of a certain engineering monitoring indicator in the security monitoring data to the safety of the engineering project is: When the maximum value of a certain engineering monitoring indicator of the reference historical engineering project in a certain historical safety warning record is greater than a preset threshold value of the certain engineering monitoring indicator, the certain historical safety warning record is recorded as a characteristic historical safety warning record of the certain engineering monitoring indicator; Step S203: Calculate the key value G of the engineering monitoring indicator in the referenced historical engineering project = G △ / G sum , where G △ is the total number of characteristic historical safety warning records of a certain engineering monitoring indicator in the reference historical engineering project, G sum The total number of historical safety warning records in the referenced historical engineering projects; Step S204: Calculate the characteristic key value U of the engineering monitoring indicator: Wherein, δ is the total number of historical engineering projects of the engineering project; G s is the marked key value of the engineering monitoring indicator in the s-th comparison historical engineering project of the engineering project; Step S205: When the characteristic key value U is greater than the preset characteristic key threshold, the certain engineering monitoring indicator is recorded as the key engineering monitoring indicator of the engineering project, and several key engineering monitoring indicators of the engineering project are aggregated to obtain the key safety monitoring data of the engineering project.

4. The data processing information operation and maintenance method based on digital management and visual analysis according to claim 3 is characterized in that: The step S300 includes: Step S301: Acquire key safety monitoring data of the project, extract key engineering monitoring indicators of the project from the key safety monitoring data, and acquire safety data of the project from the cloud platform, wherein the safety data includes preset thresholds of various engineering monitoring indicators in the project; Step S302: Obtain the maximum value of the kth engineering monitoring indicator that is determined to be abnormal in each historical safety accident record of the reference historical engineering project, and record the maximum value as the characteristic value ζ of the kth engineering monitoring indicator in the reference historical engineering project k , wherein the kth engineering monitoring indicator is a key engineering monitoring indicator in the safety data of the engineering project; Step S303: Calculate the threshold abnormality level V of the k-th engineering monitoring indicator in the engineering project k =|ζ′ k -ζ k,max | / ζ′ k , where ζ′ k is the threshold value of the kth engineering monitoring indicator in the engineering project, ζ k,max is the maximum value of the characteristic value of the k-th engineering monitoring indicator in each of the reference historical engineering projects of the engineering project; The threshold corresponding to the kth engineering monitoring indicator in the engineering project is optimized. Specifically, when the threshold abnormality V k The abnormal degree of the characteristic threshold is greater than the preset abnormal degree, and the threshold of the k-th engineering monitoring indicator in the engineering project is determined to be abnormal, and the ζ k,max For the ζ′ k Replacement is performed to optimize the safety data of the engineering project to obtain target safety data of the engineering project.

5. The data processing information operation and maintenance method based on digital management and visual analysis according to claim 4 is characterized in that: The step S400 includes: Step S401: using sensor equipment to monitor data on the construction site of the engineering project in the current cycle, and obtaining monitoring data of the engineering project in the current cycle, wherein the monitoring data includes data corresponding to various engineering monitoring indicators of the engineering project in the current cycle; Step S402: When the maximum value of a certain engineering monitoring indicator of the engineering project in the current cycle is greater than the threshold value of the certain engineering monitoring indicator in the target safety data of the engineering project, it is determined that the engineering project is at risk, a curve graph of each engineering monitoring indicator of the engineering project is drawn, and the certain engineering monitoring indicator is marked. The cloud platform is used to visualize the display to the staff of the engineering project, prompting the staff that the engineering project has safety risks.

6. A data processing information operation and maintenance system based on digital management and visual analysis, used to execute the data processing information operation and maintenance method based on digital management and visual analysis according to any one of claims 1 to 5, characterized in that: The system includes an engineering matching degree analysis module, a key data evaluation module, a target safety data module, and a visual safety analysis module; The engineering matching degree analysis module is used to compare the engineering matching degree between the historical engineering project and the project to obtain the reference historical engineering project; The key data evaluation module is used to evaluate the engineering monitoring indicators in the safety monitoring data and the criticality of their impact on the safety of the engineering project to obtain key safety monitoring data; The target safety data module is used to obtain the historical safety accident records of the reference historical engineering project, optimize and adjust the safety data of the engineering project, and obtain the target safety data; The visual safety analysis module is used to perform a visual analysis of the safety risks of the engineering project and to provide safety risk warnings to the staff of the engineering project through the cloud platform.

7. The data processing information operation and maintenance system based on digital management and visual analysis according to claim 6 is characterized in that: The engineering matching degree analysis module includes a feature matching value unit and an engineering matching degree analysis unit; The feature matching value unit is used to calculate the feature matching value between the engineering project and each historical engineering project; The engineering matching degree analysis unit is used to analyze the engineering matching degree between the engineering project and each of the historical engineering projects according to the characteristic matching value to obtain the comparison historical engineering projects.

8. The data processing information operation and maintenance system based on digital management and visual analysis according to claim 6 is characterized in that: The key data evaluation module includes a feature key value unit and a key data evaluation unit; The characteristic key value unit is used to calculate the characteristic key values ​​of various engineering monitoring indicators of the engineering project; The key data evaluation unit is used to evaluate the various engineering monitoring indicators in the security monitoring data, the criticality of their impact on the safety of the engineering project, and the key security monitoring data of the engineering project based on the characteristic key values.

9. The data processing information operation and maintenance system based on digital management and visual analysis according to claim 6 is characterized in that: The target safety data module includes a threshold abnormality degree unit and a target safety data unit; The threshold abnormality degree unit is used to calculate the threshold abnormality degree of each engineering monitoring indicator in the engineering project; The target safety data unit is used to make abnormality judgments on the various engineering monitoring indicators of the engineering project according to the threshold abnormality levels of the various engineering monitoring indicators, and to optimize the safety data of the engineering project to obtain the target safety data of the engineering project.

10. The data processing information operation and maintenance system based on digital management and visual analysis according to claim 6 is characterized in that: The visual safety analysis module includes a visual safety analysis unit and a safety prompt unit; The visual safety analysis unit is used to monitor the construction site of the project in the current cycle and perform visual analysis on the monitoring data. When the maximum value of a certain engineering monitoring indicator of the project in the current cycle is greater than the threshold value of the certain engineering monitoring indicator in the target safety data of the project, it is determined that the project is at risk, a curve chart of each engineering monitoring indicator of the project is drawn, and the certain engineering monitoring indicator is marked; The safety prompt unit is used to provide visual display to the staff of the engineering project through the cloud platform, and prompt the staff that the engineering project has safety risks.

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