Highway construction evaluation system based on data analysis

Abstract

The present invention discloses a highway construction evaluation system based on data analysis, which relates to the technical field of data analysis, including an acquisition module, an analysis module, a calculation module and an evaluation module, which acquire historical construction accident data, analyze and obtain risk factors, calculate a first weight and a second weight, set a risk interval, establish a first mapping relationship between a first sum value and a risk level, acquire current construction data, the current construction data includes a current construction site and current construction data, calculate the current first sum value, and obtain the current risk level. The present invention can identify various risk factors through the acquisition and analysis of historical construction accident data, and provide a quantitative basis for risk assessment by calculating the weights of risk factors and accident causes, as well as statistical analysis of historical construction accident data. Through continuous monitoring and evaluation of the system, the overall safety of the construction site is improved and the lives of workers are protected.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a highway construction evaluation system based on data analysis. Background Art

[0002] In recent years, with the development of automated road infrastructure detection technology and real-time monitoring sensing technology for infrastructure health, as well as the application of new detection methods such as high-resolution remote sensing, laser point cloud and crowd-source sensing, the acquisition of massive and new road performance detection and monitoring data has provided rich information for road infrastructure performance analysis, and at the same time provided rich means of data utilization and analysis.

[0003] At present, a Chinese invention patent with publication number CN118071040A discloses a safety inspection and evaluation method and system for highway construction. The method uses graph theory and path optimization algorithms to intelligently process traffic data, avoid construction areas and reduce congestion and accident risks. It applies partition association evaluation and data mining algorithms to improve the efficiency of safety risk management. K-means or hierarchical clustering is used to classify and grade risks in detail. Time series analysis and statistical models are used to set dynamic safety thresholds. Decision trees and expert systems provide decision support. However, the relevant technology does not conduct multi-dimensional analysis of accidents based on relevant data from historical accidents to derive a risk model. It lacks the degree of data utilization and the applicability of analysis. It does not calculate the probability of accidents based on the causes of the accidents, which is not conducive to avoiding risks in advance. Summary of the invention

[0004] The technical problem solved by the present invention is that the related technology does not conduct multi-dimensional analysis of accidents based on relevant data of historical accidents to derive a risk model, lacks the degree of data utilization and applicability of analysis, does not calculate the probability of accidents based on the causes of the accidents, and is not conducive to avoiding risks in advance.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: In the first aspect, a highway construction evaluation system based on data analysis includes a collection module, an analysis module, a calculation module and an evaluation module;

[0006] The acquisition module acquires historical construction accident data, wherein the historical construction accident data includes the construction location and the cause of the accident;

[0007] The analysis module classifies the causes of accidents to obtain risk factors, assigns a first number to the risk factors, assigns a second number to the causes of accidents belonging to the risk factors, counts the total number of historical construction accidents, records it as a first number, counts the total number of construction accidents with the same risk factors, records it as a second number, calculates a first ratio of the second number to the first number, and sets the first ratio as a first weight of the risk factor in historical construction accidents;

[0008] The calculation module obtains any risk factor and its corresponding accident cause, counts the number of times each accident cause occurs, recorded as a third number, calculates a second ratio of the third number to the second number, sets the second ratio as a second weight of the accident cause in the risk factor, calculates the product of the first weight and the second weight, recorded as a first product, obtains historical construction accident data, calculates the sum of the first products of each accident cause in any historical construction accident data, recorded as a first sum, calculates the average value of the first sum, recorded as a first average value, calculates the deviation of the first sum based on the first average value, and sets the risk interval based on the deviation and the first average value;

[0009] The evaluation module classifies construction risks according to risk intervals to obtain risk levels, establishes a first mapping relationship between a first sum and a risk level, obtains current construction data, the current construction data includes a current construction site and current construction data, obtains current weather conditions through the current construction site, calculates a current first sum based on the current construction data, and obtains the current risk level based on the first mapping relationship.

[0010] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, wherein: the acquisition module retrieves the construction database, inputs the highway construction into the construction database, matches the historical construction accident data corresponding to the highway construction, the historical construction accident data includes the construction location and the cause of the accident, and the construction location is represented by the longitude and latitude of the construction location;

[0011] The causes of the accidents stated include heavy rainfall, flooding, heavy fog, workers' illegal operation of electrical equipment, improper installation of electrical lines, failure to conduct regular inspection and maintenance of temporary electrical equipment, excessive excavation and excessive blasting, earth collapse, scaffolding collapse, formwork collapse, demolition project collapse, building collapse, tunnel collapse, bridge collapse and uneven settlement of roadbed, uncontrolled material lifting, flying debris during hammering operations and human throwing of objects from high places, roller compaction, vehicle collisions at the construction site, improper concrete mixing time, improper relative density of mud and short training period for workers.

[0012] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, the workers' illegal operation of electrical equipment includes working without a special operation certificate, parallel connection of main lines in the distribution box, non-PE grounding line, one switch controlling two or more electrical equipment, twisting the shell grounding line and the working neutral line together and inserting them into the socket, using unqualified insulating tools, and not cutting off the power supply before repairing electrical equipment;

[0013] The irregularities in the installation of electrical lines include wires not being installed on dedicated poles, wires being wrapped around iron wires or steel structures, wires being tied with iron wires, cables being buried less than 0.7 meters underground, and temporary wires being less than 0.3 meters away from equipment, doors, windows, and water pipes;

[0014] The over-excavation is indicated by under-excavation of the section within 1m of the arch foot and the wall foot, and the over-blasting is indicated by the blasting distance exceeding the safe allowable distance of blasting vibration, and the safe allowable distance of blasting vibration is obtained by the formula of the safe allowable distance of blasting vibration;

[0015] The inappropriate concrete mixing time is expressed as the mixing time of the concrete being less than 90 seconds or greater than 120 seconds;

[0016] The inappropriate relative density of the mud is expressed as the relative density of the mud of the clay soil is not distributed between 1.1 and 1.2, the relative density of the mud of the sand is not distributed between 1.1 and 1.3, and the relative density of the mud of the pebble layer is not distributed between 1.3 and 1.5;

[0017] The short training time for workers is indicated as less than 32 standard hours for junior workers, less than 28 standard hours for intermediate workers, less than 24 standard hours for senior workers, less than 2 standard hours for technical workers, less than 16 standard hours for senior technical workers, less than 8 hours for safety officers and less than 20 hours for special operations workers. If any one of the above is met, the worker training time is considered to be short.

[0018] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, wherein: the analysis module classifies the causes of accidents to obtain risk factors, the risk factors include natural risk factors, personnel risk factors, equipment risk factors, material risk factors, technical risk factors and management risk factors, and the risk factors are first numbered, and the first number is represented by X i , where i is a natural number, the accident causes belonging to the risk factors are assigned a second number, the second number corresponds to the first number, and the second number is represented by X ij , where j is a natural number, and the classification logic of the accident cause includes:

[0019] The accident causes to be classified are sorted into a list form, short sentences are segmented into words by a word segmentation tool, the words are restored to their basic form, the words are converted into numerical vectors by using a bag-of-words model, the average value of the numerical vectors is calculated, and the average value of the numerical vectors is input into a linear classifier to obtain risk factors;

[0020] The natural risk factors include heavy rainfall, floods and heavy fog; the personnel risk factors include workers' illegal operation of electrical equipment, objects thrown from heights, vehicle collisions and flying debris during knocking operations at the construction site; the equipment risk factors include scaffolding collapse, formwork collapse, uncontrolled material lifting and roller crushing; the material risk factors include earthwork collapse, demolition project collapse, building collapse, tunnel collapse and bridge collapse; the technical risk factors include excessive excavation, excessive blasting, uneven settlement of roadbed, improper concrete mixing rate and improper relative density of mud; the management risk factors include irregular installation of electrical lines, failure to conduct regular inspection and maintenance of temporary electrical equipment and short duration of worker training;

[0021] The analysis module counts the total number of historical construction accidents, recorded as a first number, counts the total number of construction accidents with the same risk factor, recorded as a second number, calculates a first ratio of the second number to the first number, and sets the first ratio as the first weight of the risk factor in historical construction accidents.

[0022] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, wherein: the calculation module obtains any risk factor and its corresponding accident cause, counts the number of occurrences of each accident cause, recorded as a third quantity, calculates a second ratio of the third quantity to the second quantity, sets the second ratio as a second weight of the accident cause in the risk factor, calculates the product of the first weight and the second weight, recorded as a first product;

[0023] Acquire historical construction accident data, wherein the historical construction accident data includes at least one first product, and calculate the sum of the first products of various accident causes in any historical construction accident data, which is recorded as the first sum;

[0024] An average value of the first sum is calculated, recorded as a first average value, a deviation of the first sum is calculated according to the average value of the first sum, and a risk interval is set according to the deviation and the first average value. The setting logic of the risk interval includes:

[0025] The first average value is obtained, and the deviation of the first sum value is calculated according to the standard deviation formula. The calculation expression of the deviation is:

[0026] ;

[0027] in, is the deviation of the first sum, is the first sum value, is the first average value, is the number of first sum values.

[0028] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, the setting logic of the risk interval includes:

[0029] Obtain a first average value and a deviation, calculate the difference between the first average value and the deviation, record it as the first difference, set the first difference as the lower limit of the risk interval, calculate the sum of the first average value and the deviation, record it as the second sum, set the second sum as the upper limit of the risk interval, and set the risk interval according to the lower limit of the risk interval and the upper limit of the risk interval.

[0030] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, the evaluation module divides the construction risk into levels according to the risk interval to obtain the risk level, and establishes a first mapping relationship between the first sum value and the risk level. The first mapping relationship is expressed as a many-to-one mapping relationship, that is, different first sum values ​​are mapped to the same risk level. The risk level division logic includes:

[0031] Obtain a first sum and a risk interval, obtain an upper limit of the risk interval and a lower limit of the risk interval, compare the first sum with the upper limit of the risk interval and the lower limit of the risk interval respectively, when the first sum is greater than the upper limit of the risk interval, set the risk level to the first level, when the first sum is less than or equal to the upper limit of the risk interval and greater than or equal to the lower limit of the risk interval, set the risk level to the second level, and when the first sum is less than the lower limit of the risk interval, set the risk level to the third level.

[0032] As a preferred solution of the highway construction evaluation system based on data analysis described in the present invention, wherein: the evaluation module obtains current construction data, the current construction data includes the current construction site and the current construction data, connects to the network, obtains the current weather conditions according to the construction site, and the weather conditions are expressed as the number of heavy rainfall days, flood days and foggy days in the next three months;

[0033] The current construction data includes the operation status of electrical equipment, the installation status of electrical lines, the use status of working neutral wires and protective neutral wires, the inspection and maintenance cycle status of temporary electrical equipment, the excavation status, the blasting status, the earthwork status, the scaffolding status, the formwork status, the demolition project status, the building status, the tunnel status, the bridge status and the roadbed status, the material lifting status, the knocking operation status and the artificial high-altitude throwing status, the roller status, the construction site vehicle status, the concrete mixing rate, the relative density of the mud and the training duration of the workers. The current construction status is input by the person in charge, and the options are automatically popped up. The options include the corresponding cause of the accident and no abnormality. The person in charge checks and confirms. When the cause of the accident is checked, the first product corresponding to the cause of the accident is weighted calculated. When it is checked that no abnormality occurs, the corresponding cause of the accident is deleted to obtain the current first sum value;

[0034] Obtaining a first mapping relationship, inputting a current first sum value into the first mapping relationship, obtaining a current risk level, and issuing an early warning;

[0035] When the current risk level is the first level, a red light of the first brightness is emitted; when the current risk level is the second level, a yellow light of the second brightness is emitted; and when the current risk level is the third level, a green light of the third brightness is emitted.

[0036] In a second aspect, the present invention provides an electronic device comprising a memory, a processor and storage in the memory, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps in the highway construction evaluation system based on data analysis as described in any one of the above items are executed.

[0037] In a third aspect, the present invention provides a storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps in the highway construction evaluation system based on data analysis as described in any one of the above items are executed.

[0038] The beneficial effects of the present invention are as follows: through the collection and analysis of historical construction accident data, various risk factors can be identified, classified and numbered, so as to more accurately identify potential risks. By calculating the weights of risk factors and accident causes, as well as statistical analysis of historical construction accident data, a quantitative basis is provided for risk assessment. Through continuous monitoring and evaluation of the system, the overall safety of the construction site is improved and the lives of workers are protected. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A schematic diagram of the basic flow of a highway construction evaluation system based on data analysis provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0041] Example, see Figure 1 , which is an embodiment of the present invention, provides a highway construction evaluation system based on data analysis, including a collection module, an analysis module, a calculation module and an evaluation module;

[0042] The acquisition module acquires historical construction accident data, wherein the historical construction accident data includes the construction location and the cause of the accident;

[0043] The analysis module classifies the causes of accidents to obtain risk factors, assigns a first number to the risk factors, assigns a second number to the causes of accidents belonging to the risk factors, counts the total number of historical construction accidents, records it as a first number, counts the total number of construction accidents with the same risk factors, records it as a second number, calculates a first ratio of the second number to the first number, and sets the first ratio as a first weight of the risk factor in historical construction accidents;

[0044] The calculation module obtains any risk factor and its corresponding accident cause, counts the number of times each accident cause occurs, recorded as a third number, calculates a second ratio of the third number to the second number, sets the second ratio as a second weight of the accident cause in the risk factor, calculates the product of the first weight and the second weight, recorded as a first product, obtains historical construction accident data, calculates the sum of the first products of each accident cause in any historical construction accident data, recorded as a first sum, calculates the average value of the first sum, recorded as a first average value, calculates the deviation of the first sum based on the first average value, and sets the risk interval based on the deviation and the first average value;

[0045] The evaluation module classifies construction risks according to risk intervals to obtain risk levels, establishes a first mapping relationship between a first sum and a risk level, obtains current construction data, the current construction data includes a current construction site and current construction data, obtains current weather conditions through the current construction site, calculates a current first sum based on the current construction data, and obtains the current risk level based on the first mapping relationship.

[0046] The present invention can identify various risk factors through the collection and analysis of historical construction accident data, and classify and number them, so as to more accurately identify potential risks. By calculating the weights of risk factors and accident causes, as well as statistical analysis of historical construction accident data, a quantitative basis is provided for risk assessment. Through continuous monitoring and evaluation of the system, the overall safety of the construction site is improved and the lives of workers are protected.

[0047] The acquisition module retrieves a construction database, inputs highway construction into the construction database, and matches historical construction accident data corresponding to the highway construction, wherein the historical construction accident data includes a construction location and an accident cause, and the construction location is represented by the longitude and latitude of the construction location;

[0048] The causes of the accidents stated include heavy rainfall, flooding, heavy fog, workers' illegal operation of electrical equipment, improper installation of electrical lines, failure to conduct regular inspection and maintenance of temporary electrical equipment, excessive excavation and excessive blasting, earth collapse, scaffolding collapse, formwork collapse, demolition project collapse, building collapse, tunnel collapse, bridge collapse and uneven settlement of roadbed, uncontrolled material lifting, flying debris during hammering operations and human throwing of objects from high places, roller compaction, vehicle collisions at the construction site, improper concrete mixing time, improper relative density of mud and short training period for workers.

[0049] In specific implementation, by recording and analyzing historical accident data in detail, potential risk factors can be identified more accurately, which can help identify the main causes of accidents, such as electric shock accidents caused by chaotic electrical line installation, and take preventive measures, such as ensuring that electrical installations use protective grounding and leakage protection devices at the same time. By evaluating the importance of each risk factor, construction units can prioritize resources and attention to high-risk areas. The data support and risk assessment provided can help management make more scientific and reasonable decisions, help construction units better comply with relevant safety regulations and laws, and avoid legal liabilities caused by illegal operations.

[0050] The workers' illegal operation of electrical equipment included working without a special operation certificate, parallel connection of main lines in the distribution box, grounding lines other than PE lines, one switch controlling two or more electrical equipment, twisting the outer casing grounding line and the working neutral line together and plugging them into the socket, using unqualified insulating tools, and failing to cut off the power supply before repairing electrical equipment;

[0051] The irregularities in the installation of electrical lines include wires not being installed on dedicated poles, wires being wrapped around iron wires or steel structures, wires being tied with iron wires, cables being buried less than 0.7 meters underground, and temporary wires being less than 0.3 meters away from equipment, doors, windows, and water pipes;

[0052] The over-excavation is indicated by under-excavation of the section within 1m of the arch foot and the wall foot, and the over-blasting is indicated by the blasting distance exceeding the safe allowable distance of blasting vibration, and the safe allowable distance of blasting vibration is obtained by the formula of the safe allowable distance of blasting vibration;

[0053] The inappropriate concrete mixing time is expressed as the mixing time of the concrete is less than 90 seconds or greater than 120 seconds;

[0054] The inappropriate relative density of the mud is expressed as the relative density of the mud of the clay soil is not distributed between 1.1 and 1.2, the relative density of the mud of the sand is not distributed between 1.1 and 1.3, and the relative density of the mud of the pebble layer is not distributed between 1.3 and 1.5;

[0055] The short training time for workers is indicated as less than 32 standard hours for junior workers, less than 28 standard hours for intermediate workers, less than 24 standard hours for senior workers, less than 2 standard hours for technical workers, less than 16 standard hours for senior technical workers, less than 8 hours for safety officers and less than 20 hours for special operations workers. If any one of the above is met, the worker training time is considered to be short.

[0056] During the implementation, by clarifying the specific behaviors of illegal operation of electrical equipment, improving the electrical safety standards at construction sites, reducing electrical fires and electric shock accidents, and listing in detail the situations of irregularities in the installation of electrical lines, it will help to standardize the layout of electrical lines at construction sites and improve the safety and reliability of electrical systems. Construction units will be able to continuously monitor and improve the construction process in accordance with the standards, thereby improving construction quality and efficiency.

[0057] The analysis module classifies the causes of the accident to obtain risk factors, which include natural risk factors, personnel risk factors, equipment risk factors, material risk factors, technical risk factors, and management risk factors. The risk factors are first numbered, and the first number is represented by X i , where i is a natural number, the accident causes belonging to the risk factors are assigned a second number, the second number corresponds to the first number, and the second number is represented by X ij , where j is a natural number, and the classification logic of the accident cause includes:

[0058] The accident causes to be classified are sorted into a list form, short sentences are segmented into words by a word segmentation tool, the words are restored to their basic form, the words are converted into numerical vectors by using a bag-of-words model, the average value of the numerical vectors is calculated, and the average value of the numerical vectors is input into a linear classifier to obtain risk factors;

[0059] The natural risk factors include heavy rainfall, floods and heavy fog; the personnel risk factors include workers' illegal operation of electrical equipment, objects thrown from heights, vehicle collisions and flying debris during knocking operations at the construction site; the equipment risk factors include scaffolding collapse, formwork collapse, uncontrolled material lifting and roller crushing; the material risk factors include earthwork collapse, demolition project collapse, building collapse, tunnel collapse and bridge collapse; the technical risk factors include excessive excavation, excessive blasting, uneven settlement of roadbed, improper concrete mixing rate and improper relative density of mud; the management risk factors include irregular installation of electrical lines, failure to conduct regular inspection and maintenance of temporary electrical equipment and short duration of worker training;

[0060] The analysis module counts the total number of historical construction accidents, recorded as a first number, counts the total number of construction accidents with the same risk factor, recorded as a second number, calculates a first ratio of the second number to the first number, and sets the first ratio as the first weight of the risk factor in historical construction accidents.

[0061] In specific implementation, by classifying the causes of accidents into natural risks, personnel risks, equipment risks, material risks, technical risks and management risks, the potential risk factors in the construction process can be fully identified, and the weights of risk factors can be calculated by counting the number of historical construction accidents (the first number) and the number of accidents of specific risk factors (the second number). This quantitative method provides data support for risk management, making risk assessment more scientific and objective. By calculating the first ratio, priorities can be set for different risk factors, helping management to focus resources and energy on high-risk areas, thereby effectively reducing the probability of accidents. Using data analysis technologies such as word segmentation tools, bag-of-words models and linear classifiers, the system can extract valuable information from historical data and provide data-driven decision support for management.

[0062] The calculation module obtains any risk factor and its corresponding accident cause, counts the number of occurrences of each accident cause, records it as a third number, calculates a second ratio of the third number to the second number, sets the second ratio as a second weight of the accident cause in the risk factor, and calculates the product of the first weight and the second weight, records it as a first product;

[0063] Acquire historical construction accident data, wherein the historical construction accident data includes at least one first product, and calculate the sum of the first products of various accident causes in any historical construction accident data, which is recorded as the first sum;

[0064] An average value of the first sum is calculated, recorded as a first average value, a deviation of the first sum is calculated according to the average value of the first sum, and a risk interval is set according to the deviation and the first average value. The setting logic of the risk interval includes:

[0065] The first average value is obtained, and the deviation of the first sum value is calculated according to the standard deviation formula. The calculation expression of the deviation is:

[0066] ;

[0067] in, is the deviation of the first sum, is the first sum value, is the first average value, is the number of first sum values.

[0068] The setting logic of the risk interval includes:

[0069] Obtain a first average value and a deviation, calculate the difference between the first average value and the deviation, record it as the first difference, set the first difference as the lower limit of the risk interval, calculate the sum of the first average value and the deviation, record it as the second sum, set the second sum as the upper limit of the risk interval, and set the risk interval according to the lower limit of the risk interval and the upper limit of the risk interval.

[0070] In specific implementation, by calculating the second weight of the cause of the accident (i.e. the relative importance of the cause of the accident in the risk factors) and the first product (i.e. the combination of the risk factor weight and the accident cause weight), the impact of each risk factor and accident cause can be evaluated more finely. By calculating the first sum (i.e. the sum of the first products of each accident cause) and the first average (i.e. the average of the first sum), the overall impact of the risk factors can be quantified, providing a quantitative basis for risk management. By setting the risk interval according to the deviation of the first sum and the first average, the risk management strategy can be dynamically adjusted to adapt to the changes in risks during the construction process.

[0071] The evaluation module divides the construction risk into levels according to the risk interval to obtain the risk level, and establishes a first mapping relationship between the first sum value and the risk level. The first mapping relationship is expressed as a many-to-one mapping relationship, that is, different first sum values ​​are mapped to the same risk level. The risk level division logic includes:

[0072] Obtain a first sum and a risk interval, obtain an upper limit of the risk interval and a lower limit of the risk interval, compare the first sum with the upper limit of the risk interval and the lower limit of the risk interval respectively, when the first sum is greater than the upper limit of the risk interval, set the risk level to the first level, when the first sum is less than or equal to the upper limit of the risk interval and greater than or equal to the lower limit of the risk interval, set the risk level to the second level, and when the first sum is less than the lower limit of the risk interval, set the risk level to the third level.

[0073] In the specific implementation, by mapping the first sum value to the specific risk level, the construction unit can intuitively understand the current risk level, which is convenient for the quantitative management and visual display of risks. The many-to-one mapping relationship allows different first sum values ​​to correspond to the same risk level. This flexibility enables the system to adapt to various construction situations and improve the adaptability of risk response.

[0074] The evaluation module obtains current construction data, which includes the current construction site and current construction data, connects to the network, and obtains current weather conditions according to the construction site, wherein the weather conditions are expressed as the number of days with heavy rainfall, floods, and fog in the next three months;

[0075] The current construction data includes the operation status of electrical equipment, the installation status of electrical lines, the use status of working neutral wires and protective neutral wires, the inspection and maintenance cycle status of temporary electrical equipment, the excavation status, the blasting status, the earthwork status, the scaffolding status, the formwork status, the demolition project status, the building status, the tunnel status, the bridge status and the roadbed status, the material lifting status, the knocking operation status and the artificial high-altitude throwing status, the roller status, the construction site vehicle status, the concrete mixing rate, the relative density of the mud and the training duration of the workers. The current construction status is input by the person in charge, and the options are automatically popped up. The options include the corresponding cause of the accident and no abnormality. The person in charge checks and confirms. When the cause of the accident is checked, the first product corresponding to the cause of the accident is weighted calculated. When it is checked that no abnormality occurs, the corresponding cause of the accident is deleted to obtain the current first sum value;

[0076] Obtaining a first mapping relationship, inputting a current first sum value into the first mapping relationship, obtaining a current risk level, and issuing an early warning;

[0077] When the current risk level is the first level, a red light of the first brightness is emitted; when the current risk level is the second level, a yellow light of the second brightness is emitted; and when the current risk level is the third level, a green light of the third brightness is emitted.

[0078] In the specific implementation, the first mapping relationship is established to enhance the rapid responsiveness of the system, and the risk level is warned with different colors and brightness, which improves the clarity and intuitiveness of the risk display.

[0079] The present invention can identify various risk factors through the collection and analysis of historical construction accident data, and classify and number them, so as to more accurately identify potential risks. By calculating the weights of risk factors and accident causes, as well as statistical analysis of historical construction accident data, a quantitative basis is provided for risk assessment. Through continuous monitoring and evaluation of the system, the overall safety of the construction site is improved and the lives of workers are protected.

[0080] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program codes. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0081] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. Highway construction evaluation system based on data analysis, characterized by: It includes acquisition module, analysis module, calculation module and evaluation module; The acquisition module acquires historical construction accident data, wherein the historical construction accident data includes the construction location and the cause of the accident; The analysis module classifies the causes of accidents to obtain risk factors, assigns a first number to the risk factors, assigns a second number to the causes of accidents belonging to the risk factors, counts the total number of historical construction accidents, records it as a first number, counts the total number of construction accidents with the same risk factors, records it as a second number, calculates a first ratio of the second number to the first number, and sets the first ratio as a first weight of the risk factor in historical construction accidents; The calculation module obtains any risk factor and its corresponding accident cause, counts the number of times each accident cause occurs, recorded as a third number, calculates a second ratio of the third number to the second number, sets the second ratio as a second weight of the accident cause in the risk factor, calculates the product of the first weight and the second weight, recorded as a first product, obtains historical construction accident data, calculates the sum of the first products of each accident cause in any historical construction accident data, recorded as a first sum, calculates the average value of the first sum, recorded as a first average value, calculates the deviation of the first sum based on the first average value, and sets the risk interval based on the deviation and the first average value; The evaluation module classifies the construction risk into levels according to the risk interval to obtain the risk level, establishes a first mapping relationship between the first sum value and the risk level, obtains current construction data, the current construction data includes the current construction site and the current construction data, obtains the current weather conditions through the current construction site, calculates the current first sum value according to the current construction data, and obtains the current risk level according to the first mapping relationship; The calculation module obtains any risk factor and its corresponding accident cause, counts the number of occurrences of each accident cause, records it as a third number, calculates a second ratio of the third number to the second number, sets the second ratio as a second weight of the accident cause in the risk factor, and calculates the product of the first weight and the second weight, records it as a first product; Acquire historical construction accident data, wherein the historical construction accident data includes at least one first product, and calculate the sum of the first products of various accident causes in any historical construction accident data, which is recorded as the first sum; An average value of the first sum is calculated, recorded as a first average value, a deviation of the first sum is calculated according to the average value of the first sum, and a risk interval is set according to the deviation and the first average value. The setting logic of the risk interval includes: The first average value is obtained, and the deviation of the first sum value is calculated according to the standard deviation formula. The calculation expression of the deviation is: ； in, is the deviation of the first sum, is the first sum value, is the first average value, is the number of first sum values; The setting logic of the risk interval includes: Obtain a first average value and a deviation, calculate a difference between the first average value and the deviation, record it as a first difference, set the first difference as the lower limit of the risk interval, calculate a sum of the first average value and the deviation, record it as a second sum, set the second sum as the upper limit of the risk interval, and set the risk interval according to the lower limit of the risk interval and the upper limit of the risk interval; The evaluation module divides the construction risk into levels according to the risk interval to obtain the risk level, and establishes a first mapping relationship between the first sum value and the risk level. The first mapping relationship is expressed as a many-to-one mapping relationship, that is, different first sum values ​​are mapped to the same risk level. The risk level division logic includes: Obtain a first sum and a risk interval, obtain an upper limit of the risk interval and a lower limit of the risk interval, compare the first sum with the upper limit of the risk interval and the lower limit of the risk interval respectively, when the first sum is greater than the upper limit of the risk interval, set the risk level to the first level, when the first sum is less than or equal to the upper limit of the risk interval and greater than or equal to the lower limit of the risk interval, set the risk level to the second level, and when the first sum is less than the lower limit of the risk interval, set the risk level to the third level.

2. The highway construction evaluation system based on data analysis as claimed in claim 1, characterized in that: The acquisition module retrieves a construction database, inputs highway construction into the construction database, and matches historical construction accident data corresponding to the highway construction, wherein the historical construction accident data includes a construction location and an accident cause, and the construction location is represented by the longitude and latitude of the construction location; The causes of the accidents stated include heavy rainfall, flooding, heavy fog, workers' illegal operation of electrical equipment, improper installation of electrical lines, failure to conduct regular inspection and maintenance of temporary electrical equipment, excessive excavation and excessive blasting, earth collapse, scaffolding collapse, formwork collapse, demolition project collapse, building collapse, tunnel collapse, bridge collapse and uneven settlement of roadbed, uncontrolled material lifting, flying debris during hammering operations and human throwing of objects from high places, roller compaction, vehicle collisions at the construction site, improper concrete mixing time, improper relative density of mud and short training period for workers.

3. The highway construction evaluation system based on data analysis as claimed in claim 2, characterized in that: The workers' illegal operation of electrical equipment included working without a special operation certificate, parallel connection of main lines in the distribution box, grounding lines other than PE lines, one switch controlling two or more electrical equipment, twisting the outer casing grounding line and the working neutral line together and plugging them into the socket, using unqualified insulating tools, and failing to cut off the power supply before repairing electrical equipment; The irregularities in the installation of electrical lines include wires not being installed on dedicated poles, wires being wrapped around iron wires or steel structures, wires being tied with iron wires, cables being buried less than 0.7 meters underground, and temporary wires being less than 0.3 meters away from equipment, doors, windows, and water pipes; The over-excavation is indicated by under-excavation of the section within 1m of the arch foot and the wall foot, and the over-blasting is indicated by the blasting distance exceeding the safe allowable distance of blasting vibration, and the safe allowable distance of blasting vibration is obtained by the formula of the safe allowable distance of blasting vibration; The inappropriate concrete mixing time is expressed as the mixing time of the concrete being less than 90 seconds or greater than 120 seconds; The inappropriate relative density of the mud is expressed as the relative density of the mud of clay soil is not distributed between 1.1 and 1.2, the relative density of the mud of sand is not distributed between 1.1 and 1.3, and the relative density of the mud of the pebble layer is not distributed between 1.3 and 1.5; The short training time for workers is indicated as less than 32 standard hours for junior workers, less than 28 standard hours for intermediate workers, less than 24 standard hours for senior workers, less than 2 standard hours for technical workers, less than 16 standard hours for senior technical workers, less than 8 hours for safety officers and less than 20 hours for special operations workers. If any one of the above is met, the worker training time is considered to be short.

4. The highway construction evaluation system based on data analysis as claimed in claim 1, characterized in that: The analysis module classifies the causes of the accident to obtain risk factors, which include natural risk factors, personnel risk factors, equipment risk factors, material risk factors, technical risk factors and management risk factors. The risk factors are first numbered, and the first number is represented by Xi, where i is a natural number. The causes of the accident belonging to the risk factors are second numbered, and the second number corresponds to the first number. The second number is represented by Xij, where j is a natural number. The classification logic of the cause of the accident includes: The accident causes to be classified are sorted into a list form, short sentences are segmented into words by a word segmentation tool, the words are restored to their basic form, the words are converted into numerical vectors by using a bag-of-words model, the average value of the numerical vectors is calculated, and the average value of the numerical vectors is input into a linear classifier to obtain risk factors; The natural risk factors include heavy rainfall, floods and heavy fog; the personnel risk factors include workers' illegal operation of electrical equipment, objects thrown from heights, vehicle collisions and flying debris during knocking operations at the construction site; the equipment risk factors include scaffolding collapse, formwork collapse, uncontrolled material lifting and roller crushing; the material risk factors include earthwork collapse, demolition project collapse, building collapse, tunnel collapse and bridge collapse; the technical risk factors include excessive excavation, excessive blasting, uneven settlement of roadbed, improper concrete mixing rate and improper relative density of mud; the management risk factors include irregular installation of electrical lines, failure to conduct regular inspection and maintenance of temporary electrical equipment and short duration of worker training; The analysis module counts the total number of historical construction accidents, recorded as a first number, counts the total number of construction accidents with the same risk factor, recorded as a second number, calculates a first ratio of the second number to the first number, and sets the first ratio as the first weight of the risk factor in historical construction accidents.

5. The highway construction evaluation system based on data analysis as claimed in claim 1, characterized in that: The evaluation module obtains current construction data, which includes the current construction site and current construction data, connects to the network, and obtains current weather conditions according to the construction site, wherein the weather conditions are expressed as the number of days with heavy rainfall, floods, and fog in the next three months; The current construction data includes the operation status of electrical equipment, the installation status of electrical lines, the use status of working neutral wires and protective neutral wires, the inspection and maintenance cycle status of temporary electrical equipment, the excavation status, the blasting status, the earthwork status, the scaffolding status, the formwork status, the demolition project status, the building status, the tunnel status, the bridge status and the roadbed status, the material lifting status, the knocking operation status and the artificial high-altitude throwing status, the roller status, the construction site vehicle status, the concrete mixing rate, the relative density of the mud and the training time of the workers. The current construction data is input by the person in charge, and the options are automatically popped up. The options include the corresponding cause of the accident and no abnormality. The person in charge checks and confirms. When the cause of the accident is checked, the first product corresponding to the cause of the accident is weighted calculated. When it is checked that no abnormality occurs, the corresponding cause of the accident is deleted to obtain the current first sum value; Obtaining a first mapping relationship, inputting a current first sum value into the first mapping relationship, obtaining a current risk level, and issuing an early warning; When the current risk level is the first level, a red light of the first brightness is emitted; when the current risk level is the second level, a yellow light of the second brightness is emitted; and when the current risk level is the third level, a green light of the third brightness is emitted.

6. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the highway construction evaluation system based on data analysis as described in any one of claims 1 to 5 is implemented.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the highway construction evaluation system based on data analysis according to any one of claims 1 to 5 is implemented.

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