Risk assessment system based on metro construction working condition analysis

Abstract

The invention relates to the technical field of construction analysis, and discloses a subway construction working condition analysis-based risk assessment system, which comprises a construction working condition data online monitoring module, a construction working condition data collection module, a construction working condition data analysis module, a construction working condition early warning module and a construction working condition assessment management module, the construction working condition data online monitoring module obtains picture information through online monitoring equipment and transmits the picture information to the construction working condition data collection module after digital conversion, the construction working condition data collection module is responsible for information obtaining, and the obtained information is subjected to formula calculation through the construction working condition data analysis module. The construction working condition early warning module quickly identifies a construction risk area of the abnormal data unit according to a calculation result, and the construction working condition assessment management module automatically assesses the maximum problem affecting construction quality and safety or identifies a specific reason of risk change after receiving abnormal area information of the construction working condition early warning module. The problem that the display mode of a visual display module is single is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of construction analysis, and in particular to a risk assessment system based on subway construction working condition analysis. Background Art

[0002] The risk assessment system based on subway construction condition analysis plays an important role in many aspects. It not only improves the safety and efficiency of subway construction, but also provides scientific and effective tools and methods for construction risk management. In the future, with the continuous advancement of technology, this system will continue to be optimized and expanded to provide a more solid guarantee for subway construction safety.

[0003] The risk assessment system presents risk assessment results through charts, maps, dashboards, etc. Although these presentation methods are intuitive and easy to understand, they are still relatively simple and may not meet the needs of different users. For example, for technical personnel who need in-depth analysis, more data details and analysis tools may be needed; while for senior managers, more concise and clear summary information may be needed. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies in the prior art, the present invention provides a risk assessment system based on subway construction condition analysis, which has the advantage of diverse display modes of a visualization display module and solves the problem of a single display mode of a visualization display module.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a risk assessment system based on subway construction condition analysis, comprising a construction condition data online monitoring module, a construction condition data collection module, a construction condition data analysis module, a construction condition early warning module and a construction condition assessment management module;

[0008] The construction condition data online monitoring module obtains image information through the online monitoring device, converts it into digital information, and transmits it to the construction condition data collection module through the network;

[0009] The construction condition data collection module includes a construction data unit, a geological data unit and an abnormal data unit. The construction data unit collects construction data through online monitoring equipment and team assessment forms, the geological data unit collects geological data through online monitoring equipment, detection equipment and historical geological information, and the abnormal data unit collects working condition monitoring data through online monitoring equipment and sensors. The construction data unit, geological data unit and abnormal data unit are connected to the construction condition data analysis module through a network;

[0010] The construction condition data analysis module includes a construction abnormality distribution unit, a construction impact unit and a construction risk unit. The construction abnormality distribution unit calculates the construction abnormality distribution index Lp according to the construction data, the construction impact unit calculates the construction impact coefficient Lx according to the construction data and the geological data, and the construction risk unit calculates the upper limit Ls of the construction risk and the lower limit Lu of the construction risk according to the construction data and the abnormal data. The construction abnormality distribution unit, the construction impact unit and the construction risk unit are connected to the construction condition early warning module through a network.

[0011] Preferably, the construction data unit collects statistics on the data collected during the subway construction process according to the construction data characteristics, and the data includes the abnormal frequency of operation parameters corresponding to the construction equipment, the frequency of environmental conditions not meeting the standards, and the frequency of material properties not meeting the standards. The abnormal frequency of operation parameters corresponding to the construction equipment is G1, G2, G3, ... G n The frequencies of non-compliance of the environmental conditions corresponding to the construction equipment are P1, P2, P3, ... P n , the material attribute unqualified frequencies corresponding to the construction equipment are K1, K2, K3, ...K n .

[0012] Preferably, the construction abnormality distribution unit calculates the construction abnormality distribution index Lp according to the construction data, and the calculation formula is:

[0013]

[0014] In the formula, Lp represents the construction abnormality distribution index, G1, G2, G3, ... G n Indicates the abnormal frequency of the operating parameters corresponding to the construction equipment, P1, P2, P3, ... P n Indicates the frequency of non-compliance of environmental conditions corresponding to construction equipment, K1, K2, K3, ...K n It represents the frequency of unqualified material properties corresponding to the construction equipment. a, b, and c respectively represent the weighted coefficients of the abnormal frequency of operating parameters corresponding to the construction equipment, the frequency of substandard environmental conditions, and the frequency of unqualified material properties in the construction abnormality distribution index.

[0015] Preferably, the geological data unit performs statistics on geological characteristic data (stratum structure, lithology, fault) and construction monitoring data (displacement, stress, temperature) according to geological data characteristics, and the geological characteristic data are D1, D2, D3, ... D n , the construction monitoring data are F1, F2, F3, ... F n .

[0016] Preferably, the construction impact unit calculates the construction impact coefficient Lx according to the construction data and geological data, and the calculation formula is:

[0017]

[0018] In the formula, Lx represents the construction influence coefficient, D1, D2, D3, ...D n Indicates geological characteristic data, D i represents the i-th geological characteristic data, F1, F2, F3, ... F n represents construction monitoring data, F i represents the i-th construction monitoring data, represents the average value of geological characteristic data, Represents the average value of construction monitoring data.

[0019] Preferably, the abnormal data unit performs statistics on different working condition monitoring parameters and sensor monitoring parameters according to the working condition monitoring data characteristics, and the working condition monitoring data are S1, S2, S3, ... S n .

[0020] Preferably, the construction risk unit calculates the upper limit of construction risk Ls according to the construction data and abnormal data, and the calculation formula is:

[0021]

[0022] In the formula, Ls represents the upper limit of construction risk, S1, S2, S3, ...S n Indicates working status monitoring data, Indicates the average value of working condition monitoring data, S i represents the i-th working condition monitoring data, and n represents the total number of working condition monitoring data.

[0023] Preferably, the construction risk unit calculates the lower limit Lu of the construction risk according to the construction data and the abnormal data, and the calculation formula is:

[0024]

[0025] In the formula, Lu represents the lower limit of construction risk, S1, S2, S3, …S n Indicates working status monitoring data, Indicates the average value of working condition monitoring data, S i represents the i-th working condition monitoring data, and n represents the total number of working condition monitoring data.

[0026] Preferably, the construction condition warning module determines the abnormal areas of the construction data unit and the geological data unit according to the construction abnormality distribution index Lp and the construction influence coefficient Lx, and quickly identifies the construction risk area of ​​the abnormal data unit according to the construction risk upper limit Ls and the construction risk lower limit Lu.

[0027] Preferably, the construction condition assessment management module automatically assesses the issues with the greatest impact on construction quality and safety after receiving the abnormal areas of the construction data unit and the geological data unit determined by the construction condition early warning module, and notifies relevant staff to resolve them. After receiving the construction risk area of ​​the abnormal data unit quickly identified by the construction condition early warning module, the specific reasons for the risk change are automatically identified.

[0028] Compared with the prior art, the present invention provides a risk assessment system based on subway construction condition analysis, which has the following beneficial effects:

[0029] 1. The present invention calculates the construction abnormality distribution index Lp by integrating the data of three aspects: abnormal frequency of operating parameters, frequency of substandard environmental conditions and frequency of substandard material properties, and combines their weighted coefficients to provide the system with an index value for comprehensively evaluating the overall construction quality and safety profile, in terms of visual display;

[0030] 2. By displaying the frequency of unqualified material properties each month through a bar chart, it can be intuitively seen which months have more prominent quality problems; and by displaying the changing trend of the abnormal frequency of operating parameters through a line chart, the long-term changes in the operating status of the equipment can be seen. Then, the weighted coefficient is used for formula calculation. The weight can be adjusted according to the actual monitoring situation and the degree of influence of different factors on construction quality and safety, so that the visualization results can be more targeted. This method of calculating the construction abnormality distribution index Lp with this calculation formula can not only effectively identify the distribution of abnormal data, but also promptly transmit the abnormal information to the construction condition early warning module, so that after judging the abnormal area, the judged abnormal area information will be transmitted to the construction condition assessment management module as soon as possible to assess the problems with the greatest impact on construction quality and safety, and notify the relevant staff to solve them, thereby solving the problem of the single display method of the visualization module. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of the structure of the present invention. DETAILED DESCRIPTION

[0032] 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.

[0033] See also Figure 1, a risk assessment system based on subway construction condition analysis, including a construction condition data online monitoring module, a construction condition data collection module, a construction condition data analysis module, a construction condition early warning module and a construction condition assessment management module;

[0034] The construction condition data online monitoring module obtains image information through online monitoring equipment, converts it into digital form, and transmits it to the construction condition data collection module through the network;

[0035] The construction condition data collection module includes a construction data unit, a geological data unit and an abnormal data unit. The construction data unit collects construction data through online monitoring equipment and team assessment forms. The geological data unit collects geological data through online monitoring equipment, detection equipment and historical geological survey information. The abnormal data unit collects working condition monitoring data through online monitoring equipment and sensors. The construction data unit, geological data unit and abnormal data unit are connected to the construction condition data analysis module through a network.

[0036] The construction condition data analysis module includes a construction abnormality distribution unit, a construction impact unit and a construction risk unit. The construction abnormality distribution unit calculates the construction abnormality distribution index Lp based on the construction data. The construction impact unit calculates the construction impact coefficient Lx based on the construction data and geological data. The construction risk unit calculates the upper limit Ls of construction risk and the lower limit Lu of construction risk based on the construction data and abnormal data. The construction abnormality distribution unit, the construction impact unit and the construction risk unit are connected to the construction condition early warning module through the network.

[0037] The construction data unit collects statistics on the data collected during the subway construction process according to the construction data characteristics. The data includes the abnormal frequency of operation parameters corresponding to the construction equipment, the frequency of substandard environmental conditions, and the frequency of substandard material properties. The abnormal frequency of operation parameters corresponding to the construction equipment is G1, G2, G3, ... G n The frequency of non-compliance of environmental conditions corresponding to construction equipment is P1, P2, P3, ... P n , the material attribute unqualified frequencies corresponding to the construction equipment are K1, K2, K3, ...K n .

[0038] The construction abnormality distribution unit calculates the construction abnormality distribution index Lp according to the construction data, and its calculation formula is:

[0039]

[0040] In the formula, Lp represents the construction abnormality distribution index, G1, G2, G3, ... G n Indicates the abnormal frequency of the operating parameters corresponding to the construction equipment, P1, P2, P3, ... P n Indicates the frequency of non-compliance of environmental conditions corresponding to construction equipment, K1, K2, K3, ...Kn It represents the frequency of unqualified material properties corresponding to the construction equipment. a, b, and c respectively represent the weighted coefficients of the abnormal frequency of operating parameters corresponding to the construction equipment, the frequency of substandard environmental conditions, and the frequency of unqualified material properties in the construction abnormality distribution index.

[0041] The advantages are: the calculation of the construction abnormal distribution index Lp comprehensively evaluates the overall construction quality and safety profile by integrating the data of abnormal operating parameter frequency, substandard environmental condition frequency and unqualified material property frequency, and combining their weighted coefficients. In terms of visual display, the system displays the monthly frequency of unqualified material properties through a bar chart, which can intuitively show which months have more prominent quality problems; and the changing trend of the abnormal operating parameter frequency is displayed through a line chart, which shows the long-term changes in the equipment operation status, and then uses the weighted coefficient to calculate the formula, and adjusts the weight according to the actual monitoring situation and the degree of influence of different factors on construction quality and safety, so that the visual display results are more targeted. This method of calculating the construction abnormal distribution index Lp with a calculation formula can not only effectively identify the distribution of abnormal data, but also timely transmit the abnormal information to the construction condition early warning module, so that after judging the abnormal area, the abnormal area information is transmitted to the construction condition assessment management module as soon as possible, assessing the problems with the greatest impact on construction quality and safety, and notifying relevant staff to solve them.

[0042] The geological data unit counts the geological characteristic data (stratum structure, lithology, fault) and construction monitoring data (displacement, stress, temperature) according to the geological data characteristics. The geological characteristic data are D1, D2, D3, ...D n , the construction monitoring data are F1, F2, F3, ... F n .

[0043] The construction impact unit calculates the construction impact coefficient Lx based on the construction data and geological data. The calculation formula is:

[0044]

[0045] In the formula, Lx represents the construction influence coefficient, D1, D2, D3, ...D n Indicates geological characteristic data, D i represents the i-th geological characteristic data, F1, F2, F3, ... F n represents construction monitoring data, F i represents the i-th construction monitoring data, represents the average value of geological characteristic data, Represents the average value of construction monitoring data.

[0046] The advantages are: the calculation of the construction impact coefficient Lx provides the system with a comprehensive construction impact assessment index by integrating geological characteristic data (stratum structure, lithology, fault) and construction monitoring data (displacement, stress, temperature). In terms of visualization, a bar chart is used to show the degree of influence of different geological characteristics on construction, which can intuitively show that the geological characteristics have a greater impact on construction; and the line chart is used to show the trend of construction impact changes in the time series, which helps to observe the long-term changes of the impact coefficient during the construction process. Combined with the calculation of the formula for the construction impact coefficient Lx, the weight can be adjusted according to the actual situation and the degree of influence of different factors on construction quality and safety, so that the displayed results have practical value.

[0047] The abnormal data unit collects statistics on different working condition monitoring parameters (such as train speed, passenger capacity, track status) and sensor monitoring parameters according to the working condition monitoring data characteristics. The working condition monitoring data are S1, S2, S3, ... S n .

[0048] The construction risk unit calculates the upper limit of construction risk Ls based on the construction data and abnormal data. The calculation formula is:

[0049]

[0050] In the formula, Ls represents the upper limit of construction risk, S1, S2, S3, ...S n Indicates working status monitoring data, Indicates the average value of working condition monitoring data, S i represents the i-th working condition monitoring data, and n represents the total number of working condition monitoring data.

[0051] The construction risk unit calculates the lower limit Lu of construction risk based on construction data and abnormal data. The calculation formula is:

[0052]

[0053] In the formula, Lu represents the lower limit of construction risk, S1, S2, S3, …S n Indicates working status monitoring data, Indicates the average value of working condition monitoring data, S i represents the i-th working condition monitoring data, and n represents the total number of working condition monitoring data.

[0054] The advantages are: through the calculation formula of the upper limit Ls of construction risk and the lower limit Lu of construction risk, the upper and lower limits are calculated by the average value of the working condition monitoring data in the comprehensive formula, and the calculation result defines the upper and lower risk thresholds for construction safety. The upper limit Ls of construction risk and the lower limit Lu of construction risk reflect the maximum and minimum risk levels acceptable under specific working conditions, which helps the construction condition assessment management module to make a decision on whether to continue construction. At the same time, the calculation formula of the upper and lower limits of construction risk is used to display the changing trend of the upper and lower limits of risk over time through a line graph, and the risk levels of different monitoring points are compared through a bar graph, or the relationship between the risk value and various influencing factors is revealed through a scatter plot. This diversified display method combined with the calculation formula not only helps the construction condition early warning module to quickly identify the construction risk area, but also can transmit the construction risk area information to the construction condition assessment management module through the network, so that it can identify the specific reasons for the risk change.

[0055] The construction condition early warning module determines the abnormal areas of the construction data unit and the geological data unit according to the construction abnormality distribution index Lp and the construction influence coefficient Lx, and quickly identifies the construction risk area of ​​the abnormal data unit according to the upper limit of construction risk Ls and the lower limit of construction risk Lu.

[0056] After receiving the abnormal areas of the construction data unit and the geological data unit judged by the construction condition early warning module, the construction condition assessment management module automatically assesses the problems with the greatest impact on construction quality and safety, and notifies relevant staff to resolve them. After receiving the construction risk areas of the abnormal data unit quickly identified by the construction condition early warning module, the specific reasons for the risk changes are automatically identified.

[0057] Example 1

[0058] The construction abnormality distribution unit calculates the construction abnormality distribution index Lp according to the construction data, and its calculation formula is:

[0059]

[0060] In the formula, Lp represents the construction abnormality distribution index (0.30 represents the construction abnormality distribution index calculated based on the abnormal operating parameter frequency of the construction equipment, the non-standard environmental condition frequency of the construction equipment, and the unqualified material property frequency of the construction equipment in one of the case statistics), 2, 3, 3, 3 represent the abnormal operating parameter frequency of the construction equipment (the failure frequency of different equipment during the construction process), 4, 5, 2, 6 represent the non-standard environmental condition frequency of the construction equipment (the frequency of non-standard equipment indicators affected by ambient temperature and air pressure of different equipment during the construction process), 2, 5, 3, 3 represent the unqualified material property frequency of the construction equipment (the frequency of unqualified materials used on the construction equipment), and 0.2, 0.4, and 0.4 represent the weighting coefficients of the abnormal operating parameter frequency, non-standard environmental condition frequency, and unqualified material property frequency of the construction equipment in the construction abnormality distribution index, respectively.

[0061] Example 2

[0062] The construction impact unit calculates the construction impact coefficient Lx based on the construction data and geological data. The calculation formula is:

[0063]

[0064] In the formula, Lx represents the construction impact coefficient (0.67 represents the construction impact coefficient calculated by combining the geological characteristic data of one case with the construction monitoring data), 4, 6, 3, and 5 represent geological characteristic data (parameters of the construction process affected by different construction terrains), 5 represents the fourth geological characteristic data, 4, 5, 3, and 8 represent construction monitoring data (parameters of the construction process monitored in real time), and 8 represents the fourth construction monitoring data. represents the average value of geological characteristic data, Represents the average value of construction monitoring data.

[0065] Example 3

[0066] The construction risk unit calculates the upper limit of construction risk Ls based on the construction data and abnormal data. The calculation formula is:

[0067]

[0068] In the formula, Ls represents the upper limit of construction risk (3.67 represents the upper limit of construction risk calculated from the working condition monitoring data of one case), 1, 4, 2, 6, 4 represent the working condition monitoring data (the comprehensive influence of the human factors and natural factors of the construction team during the construction process), represents the average value of the working condition monitoring data, 4 represents the 5th working condition monitoring data, and 5 represents the total number of working condition monitoring data.

[0069] The construction risk unit calculates the lower limit Lu of construction risk based on construction data and abnormal data. The calculation formula is:

[0070]

[0071] In the formula, Lu represents the lower limit of construction risk (3.13 represents the lower limit of construction risk calculated from the working condition monitoring data of one case), 1, 4, 2, 6, 4 represent the working condition monitoring data (the comprehensive influence of the human factors and natural factors of the construction team during the construction process), represents the average value of the working condition monitoring data, 4 represents the 5th working condition monitoring data, and 5 represents the total number of working condition monitoring data.

[0072] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the invention, and the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. The risk assessment system based on subway construction condition analysis is characterized by: It includes construction condition data online monitoring module, construction condition data collection module, construction condition data analysis module, construction condition early warning module and construction condition evaluation management module; The construction condition data online monitoring module obtains image information through the online monitoring device, converts it into digital information, and transmits it to the construction condition data collection module through the network; The construction condition data collection module includes a construction data unit, a geological data unit and an abnormal data unit; the construction data unit collects construction data through online monitoring equipment and team assessment forms, and the geological data unit collects geological data through online monitoring equipment, detection equipment and historical geological information; the abnormal data unit collects working condition monitoring data through online monitoring equipment and sensors; the construction data unit, geological data unit and abnormal data unit are connected to the construction condition data analysis module through a network; The construction condition data analysis module includes a construction abnormality distribution unit, a construction impact unit and a construction risk unit; the construction abnormality distribution unit calculates the construction abnormality distribution index Lp according to the construction data; the construction impact unit calculates the construction impact coefficient Lx according to the construction data and the geological data; the construction risk unit calculates the upper limit Ls of the construction risk and the lower limit Lu of the construction risk according to the construction data and the abnormal data; the construction abnormality distribution unit, the construction impact unit and the construction risk unit are connected to the construction condition early warning module through the network.

2. The risk assessment system based on subway construction condition analysis according to claim 1 is characterized in that: The construction data unit collects statistics on the data collected during the subway construction process according to the construction data characteristics, and the data includes the abnormal frequency of operation parameters corresponding to the construction equipment, the frequency of substandard environmental conditions, and the frequency of substandard material properties; the abnormal frequency of operation parameters corresponding to the construction equipment is G1, G2, G3, ... G n The frequency of non-compliance of the environmental conditions corresponding to the construction equipment is P1, P2, P3, ... P n The material attribute unqualified frequencies corresponding to the construction equipment are K1, K2, K3, ... K n .

3. The risk assessment system based on subway construction condition analysis according to claim 2 is characterized in that: The construction abnormality distribution unit calculates the construction abnormality distribution index Lp according to the construction data, and its calculation formula is: In the formula, Lp represents the construction abnormality distribution index, G1, G2, G3, ... G n Indicates the abnormal frequency of the operating parameters corresponding to the construction equipment, P1, P2, P3, ... P n Indicates the frequency of non-compliance of environmental conditions corresponding to construction equipment, K1, K2, K3, ...K n It represents the frequency of unqualified material properties corresponding to the construction equipment. a, b, and c respectively represent the weighted coefficients of the abnormal frequency of operating parameters corresponding to the construction equipment, the frequency of substandard environmental conditions, and the frequency of unqualified material properties in the construction abnormality distribution index.

4. The risk assessment system based on subway construction condition analysis according to claim 1 is characterized in that: The geological data unit performs statistics on geological characteristic data and construction monitoring data according to geological data characteristics, and the geological characteristic data are D1, D2, D3, ...D n , the construction monitoring data are F1, F2, F3, ... F n .

5. The risk assessment system based on subway construction condition analysis according to claim 4 is characterized in that: The construction impact unit calculates the construction impact coefficient Lx according to the construction data and geological data, and the calculation formula is: In the formula, Lx represents the construction influence coefficient, D i represents the i-th geological characteristic data, F i represents the i-th construction monitoring data, represents the average value of geological characteristic data, Represents the average value of construction monitoring data.

6. The risk assessment system based on subway construction condition analysis according to claim 1 is characterized in that: The abnormal data unit performs statistics on different working condition monitoring parameters and sensor monitoring parameters according to the working condition monitoring data characteristics, and the working condition monitoring data are S1, S2, S3, ... S n .

7. The risk assessment system based on subway construction condition analysis according to claim 6 is characterized in that: The construction risk unit calculates the upper limit of construction risk Ls according to the construction data and abnormal data, and the calculation formula is: In the formula, Ls represents the upper limit of construction risk. Indicates the average value of working condition monitoring data, S i represents the i-th working condition monitoring data, and n represents the total number of working condition monitoring data.

8. The risk assessment system based on subway construction condition analysis according to claim 7 is characterized in that: The construction risk unit calculates the lower limit Lu of the construction risk according to the construction data and the abnormal data, and its calculation formula is: In the formula, Lu represents the lower limit of construction risk, Indicates the average value of working condition monitoring data, S i represents the i-th working condition monitoring data, and n represents the total number of working condition monitoring data.

9. The risk assessment system based on subway construction condition analysis according to claim 8 is characterized in that: The construction condition early warning module determines the abnormal areas of the construction data unit and the geological data unit according to the construction abnormality distribution index Lp and the construction influence coefficient Lx, and quickly identifies the construction risk area of ​​the abnormal data unit according to the construction risk upper limit Ls and the construction risk lower limit Lu.

10. The risk assessment system based on subway construction condition analysis according to claim 9 is characterized in that: The construction condition assessment management module automatically assesses the biggest issues affecting construction quality and safety after receiving the abnormal areas of the construction data unit and the geological data unit determined by the construction condition early warning module, and notifies relevant staff to resolve them. After receiving the construction risk areas of the abnormal data unit quickly identified by the construction condition early warning module, the specific reasons for the risk changes are automatically identified.

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