Pipe network construction safety risk assessment early warning method and system

Abstract

The invention discloses a pipe network construction safety risk assessment early warning method and system, and relates to the technical field of construction risk assessment. The method comprises the following steps: monitoring the surrounding environment of a pipe network construction area in real time by adopting environment monitoring equipment; monitoring the operation state of the construction equipment and acquiring equipment operation data; monitoring the distribution condition of the underground pipe network facilities to obtain facility distribution data; integrating the internal and external environment data, the equipment operation data and the facility distribution data to obtain pipe network integrated data; performing comprehensive analysis on the pipe network integrated data; and carrying out risk assessment and safety early warning according to an analysis result. Through the technical means of real-time data monitoring, big data analysis, intelligent early warning and the like, potential risks in construction can be effectively identified, evaluated and predicted, and scientific decision support is provided for construction units; the safety management efficiency is improved, early warning is given out and emergency response measures are started in time when risks occur, and the safety of pipe network construction is remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of construction risk assessment, and particularly relates to a method and system for safety risk assessment and early warning of pipeline network construction. Background Art

[0002] With the advancement of urbanization, the construction of underground pipeline networks has become an important part of modern urban infrastructure. There are various potential safety risks during pipeline network construction, such as soil settlement, underground pipeline collisions, construction environment changes, mechanical equipment failures, etc. These may all trigger accidents and even endanger the safety of construction workers and surrounding residents. Therefore, the safety risk assessment and early warning of pipeline network construction become particularly important.

[0003] Existing pipeline network construction safety management methods mostly rely on manual inspections and experience judgments. Such management methods have problems such as poor timeliness, low accuracy, and slow emergency response. And due to the complexity of pipeline network construction sites and the rapid changes in the environment, traditional monitoring methods are difficult to reflect the risks at the construction site in real time and comprehensively; there are also problems such as low risk assessment accuracy and slow emergency response. Therefore, there is an urgent need for a pipeline network construction safety risk assessment and early warning method based on modern technology that can monitor the construction site environment in real time, accurately assess potential risks, and send early warning information in advance to effectively prevent accidents from occurring. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for safety risk assessment and early warning of pipeline network construction, which can be achieved through the following technical solutions: In a first aspect, an embodiment of the present application provides a method for safety risk assessment and early warning of pipeline network construction, including the following steps: Use environmental monitoring equipment to monitor the surrounding environment of the pipeline network construction area in real time to obtain internal environment data and external environment data; Monitor the operating status of construction equipment and obtain equipment operation data; Monitor the distribution of existing underground pipeline network facilities to obtain facility distribution data; Integrate the internal environment data, the external environment data, the equipment operation data, and the facility distribution data, and obtain pipeline network integrated data after preprocessing; Comprehensively analyze the pipeline network integrated data and obtain a data analysis result; Conduct a risk assessment based on the data analysis result and issue a safety early warning according to the assessment result.

[0005] Preferably, the use of environmental monitoring equipment to monitor the surrounding environment of the pipeline network construction area in real time includes: monitoring the internal environment at the pipeline network construction site in real time, specifically: Monitor the changes in the groundwater level and the amount of groundwater in the construction area of the pipeline network to obtain groundwater hydrological data; Monitor the changes in soil pressure and soil deformation in the construction area of the pipeline network to obtain underground soil data; Monitor the types and concentrations of underground gases in the construction area of the pipeline network to obtain underground gas data; Monitor the changes in underground temperature and humidity in the construction area of the pipeline network to obtain underground temperature and humidity data.

[0006] Preferably, the real-time monitoring of the surrounding environment at the pipeline network construction site by the environmental monitoring equipment further includes: real-time monitoring of the external environment at the pipeline network construction site, specifically: Monitor the external meteorological environment in the construction area of the pipeline network and obtain meteorological monitoring data; Obtain the frequency and degree of occurrence of extreme weather in the construction area of the pipeline network; Among them, the external meteorological environment includes ground temperature, ground humidity and precipitation; The extreme weather includes strong wind weather, heavy rain, flood and earthquake.

[0007] Preferably, the monitoring of the operating status of the construction equipment includes: Monitor the working status of the construction equipment to obtain equipment working data; Monitor the load status of the construction equipment to obtain equipment load data; Monitor the vibration status of the construction equipment to obtain equipment vibration signals; Among them, the equipment operation data includes equipment working data, equipment load data and equipment vibration signals.

[0008] Preferably, the monitoring of the distribution of existing underground pipeline network facilities includes: Collect the geographical location information of the underground pipeline network through GIS technology, including the starting point, ending point, intersection point and corner point of the pipeline to form a spatial distribution map of the pipeline network; Obtain the type information of the pipeline and the pipeline network material and record the distribution of different types of pipelines; Monitor the integrity and aging degree of the pipeline network.

[0009] Preferably, the comprehensive analysis of the pipeline network integration data and obtaining the data analysis result includes: Determine risk factors based on the pipeline network integration data and form a risk factor data set; Conduct risk analysis according to the risk factor data set and obtain the first data analysis result; Construct an underground pipeline facility data set based on the pipeline network integration data; Perform risk analysis based on the underground pipeline facility dataset and obtain a second data analysis result.

[0010] Preferably, determining risk factors based on the pipe network integration data and forming a risk factor dataset specifically includes: Determine risk sources based on the pipe network integration data; Establish a risk database based on the risk sources; Correspondingly associate the risk sources with risk factors in the risk database; Search for and determine risk factors in the risk database by using hash indexing and / or B+ tree indexing; Mark the found risk factors and form a risk factor dataset according to the marks.

[0011] Preferably, performing risk analysis according to the risk factor dataset specifically includes: Perform data processing on the data in the risk factor dataset; Obtain auxiliary data related to the risk factors; Evaluate the harmfulness of the risk factors based on the auxiliary data and determine their risk levels; Among them, the risk levels include first-level risk, second-level risk, third-level risk, and fourth-level risk in descending order of harmfulness.

[0012] Preferably, performing risk analysis according to the underground pipeline facility dataset includes: Perform short-time feature extraction based on the self-defined relative signal quantity for the pipeline facility signals in the underground pipeline facility dataset; Detect whether there are abnormal events according to the extracted short-time features, perform long-time feature cumulative calculation on the signals with abnormal events, perform discretization processing after the cumulative calculation, and then input them into the pre-trained Bayesian recognition and classification network of the corresponding equipment for recognition and classification; Output the recognition and classification results as the second data analysis result.

[0013] In a second aspect, an embodiment of the present application provides a pipe network construction safety risk assessment and early warning system, which applies the pipe network construction safety risk assessment and early warning method as described above, and includes: Internal and external environment monitoring module: used to monitor the surrounding environment of the pipe network construction area in real time by using environmental monitoring equipment, and obtain internal environment data and external environment data; Construction equipment monitoring module: used to monitor the operating status of construction equipment and obtain equipment operation data; Pipe network facility monitoring module: used to monitor the distribution of existing underground pipe network facilities to obtain facility distribution data; Monitoring data integration module: used to integrate the internal environment data, the external environment data, the device operation data, and the facility distribution data, and obtain pipeline network integration data after preprocessing; Integrated data analysis module: used to comprehensively analyze the pipeline network integration data and obtain data analysis results; Safety risk assessment module: used to conduct risk assessment based on the data analysis results and issue safety warnings according to the assessment results.

[0014] The beneficial effects of the present invention are as follows: Through technical means such as real-time data monitoring, big data analysis, and intelligent warning, the present invention can effectively identify, evaluate, and predict potential risks during construction, provide scientific decision-making support for construction units; improve safety management efficiency, and issue warnings and initiate emergency response measures in a timely manner when risks occur, significantly improving the safety of pipeline network construction. Brief Description of the Drawings

[0015] For better understanding and implementation, the technical solutions of the present application will be described in detail below with reference to the drawings.

[0016] Figure 1 It is a step flow chart of a pipeline network construction safety risk assessment and warning method provided by an embodiment of the present application; Figure 2 It is a step flow chart of construction equipment operation monitoring provided by an embodiment of the present application; Figure 3 It is a step flow chart of comprehensive analysis of pipeline network data provided by an embodiment of the present application; Figure 4 It is a structural schematic diagram of a pipeline network construction safety risk assessment and warning system provided by an embodiment of the present application. Detailed Embodiments

[0017] To further elaborate on the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the exemplary embodiments will be described in detail here, and the examples are shown in the drawings. When the following description involves the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of methods and systems consistent with some aspects of the present application as detailed in the appended claims.

[0018] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a", "the", and "said" used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to any and all possible combinations of one or more of the associated listed items.

[0019] The following describes in detail the specific implementation manners, features, and effects of the present invention in conjunction with the accompanying drawings and preferred embodiments.

[0020] Embodiment 1 Please refer to Figure 1 , an embodiment of the present application provides a method for evaluating and warning safety risks in pipeline network construction, including the following steps: Use environmental monitoring equipment to monitor the surrounding environment of the pipeline network construction area in real time to obtain internal environmental data and external environmental data; Monitor the operating status of construction equipment and obtain equipment operation data; Monitor the distribution of existing underground pipeline network facilities to obtain facility distribution data; Integrate the internal environmental data, the external environmental data, the equipment operation data, and the facility distribution data, and obtain pipeline network integration data after preprocessing; Comprehensively analyze the pipeline network integration data and obtain a data analysis result; Conduct a risk assessment based on the data analysis result and issue a safety warning according to the assessment result.

[0021] Specifically, during the construction of pipeline networks, complex underground environments, existing pipelines and underground facilities, changes in above-ground meteorological environments, and the operating status of construction equipment are all major factors affecting the safety of pipeline network construction. Therefore, in order to improve construction safety and reduce the probability of accidents, this application conducts real-time monitoring of the above-mentioned several safety influencing factors, comprehensively analyzes multiple factors to obtain the overall safety risk of pipeline network construction, and issues timely safety warnings based on the evaluation results. The specific content includes: First, environmental monitoring equipment is used to conduct real-time monitoring of the surrounding environment of the pipeline network construction area to obtain internal environmental data and external environmental data; then, the operating status of construction equipment is monitored to obtain equipment operation data; then, the distribution of existing underground pipeline network facilities is monitored to obtain facility distribution data; then, the internal environmental data, the external environmental data, the equipment operation data, and the facility distribution data are integrated, and after preprocessing, integrated pipeline network data is obtained; secondly, the integrated pipeline network data is comprehensively analyzed to obtain data analysis results; finally, risk assessment is carried out based on the data analysis results, and safety warnings are issued based on the evaluation results. Through technical means such as real-time data monitoring, big data analysis, and intelligent warning, this application can effectively identify, evaluate, and predict potential risks during construction, provide scientific decision-making support for construction units; improve safety management efficiency, and issue warnings and initiate emergency response measures in a timely manner when risks occur, significantly improving the safety of pipeline network construction.

[0022] In an embodiment provided by this application, the use of environmental monitoring equipment to conduct real-time monitoring of the surrounding environment of the pipeline network construction area includes: conducting real-time monitoring of the internal environment at the pipeline network construction site, specifically: Monitoring the changes in the groundwater level and the amount of groundwater in the pipeline network construction area to obtain groundwater hydrological data; Monitoring the changes in soil pressure and soil deformation in the pipeline network construction area to obtain underground soil data; Monitoring the types and concentrations of underground gases in the pipeline network construction area to obtain underground gas data; Monitoring the changes in underground temperature and humidity in the pipeline network construction area to obtain underground temperature and humidity data.

[0023] Specifically, this application monitors the safety risks within the pipeline network construction area. Since pipeline network construction mainly focuses on the underground, the underground environment is crucial for the safety of pipeline network construction. Therefore, in this embodiment, the underground environment within the area is monitored in real time, including but not limited to the hydrological conditions of the underground water level and underground water volume, soil changes, underground gas concentration, and underground temperature and humidity conditions, etc.; the monitoring data obtained through the above monitoring reflects the environmental state of the underground area, thereby further reflecting its safety status. Specifically: Monitoring the change of the underground water level can avoid the sudden rise or leakage of groundwater from affecting construction safety; monitoring the underground water flow can understand the direction and speed of the water flow to prevent soil instability caused by water flow problems; monitoring the pressure change of the soil in the construction area, especially during excavation operations, can prevent safety risks such as landslides and settlements; monitoring the deformation of the soil, especially when the excavation depth is large, can understand whether the soil has undergone excessive displacement; monitoring the concentration of underground gases (such as methane, nitrogen, carbon dioxide, etc.) can prevent fire or poisoning accidents caused by gas leakage; monitoring the temperature change underground in a special environment can avoid the influence of high temperature or low temperature on construction operations, and at the same time, combined with the humidity situation, it can also judge the hardness of the soil in the current area, and can avoid the situation of soft soil caused by too high humidity.

[0024] In an embodiment provided by this application, when using environmental monitoring equipment to monitor the surrounding environment of the pipeline network construction in real time, it further includes: monitoring the external environment of the pipeline network construction in real time, specifically: Monitoring the external meteorological environment of the pipeline network construction area and obtaining meteorological monitoring data; Obtaining the frequency and degree of occurrence of extreme weather in the pipeline network construction area; Among them, the external meteorological environment includes ground temperature, ground humidity, and precipitation; The extreme weather includes strong wind weather, heavy rain, flood, and earthquake.

[0025] Specifically, although the internal environmental factors in the area have a greater impact during the pipeline network construction process, the external environmental factors of the area will also have a certain impact on the safety of pipeline network construction. For example, heavy rain and flood will make the soil quality in the construction area become soft, which is not conducive to pipeline network laying; for another example, an earthquake will damage the facilities and equipment in the construction area and cause the geological structure to loosen and crack, thus affecting pipeline network construction. Therefore, this embodiment monitors the external environment of the pipeline network construction in real time, thereby obtaining the change situation of the external environment and carrying out safety protection and risk warning according to the actual changes, so as to improve the safety of pipeline network construction.

[0026] It can be understood that this application monitors from two aspects: the inside and the outside of the construction area, taking into account both internal and external influencing factors, so as to make the environmental change monitoring more accurate and reliable, and thus ensure construction safety.

[0027] As Figure 2 shown, in an embodiment provided by the present application, the monitoring of the operating state of construction equipment includes: Monitoring the working state of the construction equipment to obtain equipment working data; Monitoring the load state of the construction equipment to obtain equipment load data; Monitoring the vibration state of the construction equipment to obtain equipment vibration signals; Wherein, the equipment operation data includes equipment working data, equipment load data, and equipment vibration signals.

[0028] Specifically, in this embodiment, by monitoring the operating state of construction equipment in real time and obtaining equipment operation data, it is possible to ensure the efficient and safe operation of the equipment during the construction process, reduce the occurrence of faults, and improve construction efficiency.

[0029] In an embodiment provided by the present application, the monitoring of the distribution of existing underground pipeline network facilities includes: Collecting the geographical location information of the underground pipeline network through GIS technology, including the starting point, ending point, intersection point, and corner point of the pipeline to form a spatial distribution map of the pipeline network; Obtaining the type information of the pipeline and the pipeline network material and recording the distribution of different types of pipelines; Monitoring the integrity and aging degree of the pipeline network.

[0030] Specifically, in this embodiment, by monitoring the distribution of underground pipeline network facilities to obtain facility distribution data, it mainly involves multiple aspects such as the spatial location, type, material, intersection point, connection location, operating state, aging, and corrosion of the pipeline network. Through accurate monitoring and data analysis, it is possible to ensure the safe and efficient operation of the pipeline network and provide strong support for later maintenance, expansion, and repair.

[0031] As Figure 3 shown, in an embodiment provided by the present application, the comprehensive analysis of the pipeline network integration data and obtaining the data analysis result includes: Determining risk factors based on the pipeline network integration data and forming a risk factor data set; Performing risk analysis according to the risk factor data set and obtaining a first data analysis result; Constructing an underground pipeline facility data set based on the pipeline network integration data; Performing risk analysis according to the underground pipeline facility data set and obtaining a second data analysis result.

[0032] In an embodiment provided by the present application, the determining risk factors based on the pipeline network integration data and forming a risk factor data set is specifically: Determine risk sources based on the integrated pipeline network data; Establish a risk database based on the risk sources; Correspondingly associate the risk sources with risk factors in the risk database; Use the method of hash index and / or B+ tree index to search for and determine risk factors in the risk database; Mark the found risk factors and form a risk factor data set according to the marks.

[0033] Specifically, in this embodiment, a risk database is established based on risk sources, which is used to integrate all data and factors related to risk sources into one database, facilitating subsequent comprehensive risk identification and assessment, and enabling the prioritization of risks, thereby contributing to the effective allocation of resources and the formulation of risk management decisions; then, the method of hash index or B+ tree index or the combination of hash index and B+ tree index is used to search for and determine risk factors in the above risk database; finally, all the found risk factors are marked and a risk factor data set is generated accordingly. In this embodiment, hash index and B+ tree index are used for searching, which can ensure both the query speed and the query range, so as to apply to more query situations.

[0034] In an embodiment provided by the present application, the risk analysis according to the risk factor data set specifically includes: Perform data processing on the data in the risk factor data set; Obtain auxiliary data related to the risk factors; Evaluate the harmfulness of the risk factors based on the auxiliary data and determine their risk levels; Among them, the risk levels include primary risk, secondary risk, tertiary risk, and quaternary risk in descending order of harm degree.

[0035] Specifically, the above-mentioned auxiliary data in this embodiment refers to data with auxiliary properties. For example, if the risk factor is human operation error, the corresponding auxiliary data includes operation manuals related to the operation, specific personnel arrangements, basic personnel information, personnel operation equipment, etc. These auxiliary data can reflect the specific situation and occurrence conditions of human operation errors from the side, and thus can determine whether the risk factor belongs to a relatively serious risk and whether it will cause significant losses, etc., so as to provide data support for subsequent decision-making.

[0036] In an embodiment provided by the present application, the risk analysis according to the underground pipeline facility data set includes: Extract short-time features defined based on the relative signal quantity from the pipeline facility signals in the underground pipeline facility data set; Based on the extracted short-term features, detect whether there is an abnormal event. For the signal with an abnormal event, perform long-term feature accumulation calculation, perform discretization processing after the accumulation calculation, and then input it into the pre-trained Bayesian recognition and classification network of the corresponding device for recognition and classification; Output the recognition and classification results as the second data analysis result.

[0037] Embodiment 2 Please refer to Figure 4 , the embodiment of the present application provides a pipeline network construction safety risk assessment and early warning system, which applies the above-mentioned pipeline network construction safety risk assessment and early warning method, including: Internal and external environment monitoring module: used to use environmental monitoring equipment to monitor the surrounding environment of the pipeline network construction area in real time, and obtain internal environment data and external environment data; Construction equipment monitoring module: used to monitor the operating status of construction equipment and obtain equipment operation data; Pipeline network facility monitoring module: used to monitor the distribution of existing underground pipeline network facilities to obtain facility distribution data; Monitoring data integration module: used to integrate the internal environment data, the external environment data, the equipment operation data and the facility distribution data, and obtain pipeline network integration data after preprocessing; Integrated data analysis module: used to comprehensively analyze the pipeline network integration data and obtain data analysis results; Safety risk assessment module: used to perform risk assessment according to the data analysis results and perform safety early warning according to the assessment results.

[0038] In the above embodiments, the descriptions of each embodiment have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0039] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment can be integrated into a processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of each functional unit and module are only for the convenience of mutual distinction and do not limit the protection scope of this application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0040] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0041] The above are only the preferred embodiments of the present invention and do not impose any form of limitation on the present invention. Although the present invention has been disclosed above with the preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to the equivalent embodiments by using the technical content disclosed above within the scope of the technical solution of the present invention. However, as long as the technical content of the present invention is not departed from, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A pipeline network construction safety risk assessment and early warning method, characterized by: The steps include: Use environmental monitoring equipment to monitor the surrounding environment of the pipeline construction area in real time to obtain internal and external environmental data; Monitor the operating status of construction equipment and obtain equipment operation data; Monitor the distribution of existing underground pipe network facilities to obtain facility distribution data; Integrate the internal environment data, the external environment data, the equipment operation data and the facility distribution data, and obtain the pipe network integration data after preprocessing; Performing comprehensive analysis on the pipe network integrated data and obtaining data analysis results; A risk assessment is performed based on the data analysis results and a safety warning is issued based on the assessment results.

2. A pipeline network construction safety risk assessment and early warning method according to claim 1, characterized in that: The use of environmental monitoring equipment to conduct real-time monitoring of the surrounding environment of the pipeline network construction area includes: real-time monitoring of the internal environment of the pipeline network construction site, specifically: Monitor the changes in groundwater level and groundwater volume in the pipe network construction area to obtain groundwater hydrological data; Monitor soil pressure changes and soil deformation in the pipeline construction area to obtain underground soil data; Monitor underground gas types and underground gas concentrations in the pipeline construction area to obtain underground gas data; Monitor the underground temperature and humidity changes in the pipeline construction area and obtain underground temperature and humidity data.

3. A pipeline network construction safety risk assessment and early warning method according to claim 1, characterized in that: The use of environmental monitoring equipment to monitor the surrounding environment of the pipe network construction site in real time also includes: real-time monitoring of the external environment of the pipe network construction site, specifically: Monitor the external meteorological environment in the pipeline network construction area and obtain meteorological monitoring data; Obtain the frequency and severity of extreme weather in the pipeline construction area; Wherein, the external meteorological environment includes ground temperature, ground humidity and precipitation; The extreme weather includes strong winds, heavy rains, floods and earthquakes.

4. A pipeline network construction safety risk assessment and early warning method according to claim 1, characterized in that: The monitoring of the operating status of the construction equipment includes: Monitoring the working status of the construction equipment to obtain equipment working data; monitoring the load status of the construction equipment to obtain equipment load data; Monitoring the vibration state of the construction equipment to obtain equipment vibration signals; The equipment operation data includes equipment working data, equipment load data and equipment vibration signal.

5. A pipeline network construction safety risk assessment and early warning method according to claim 1, characterized in that: The monitoring of the distribution of existing underground pipe network facilities includes: Use GIS technology to collect the geographical location information of the underground pipeline network, including the starting point, end point, intersection point and corner point of the pipeline to form a spatial distribution map of the pipeline network; Obtain pipeline type information and pipe network material and record the distribution of different types of pipelines; Monitor the integrity and degradation of the pipe network.

6. A pipeline network construction safety risk assessment and early warning method according to claim 1, characterized in that: Comprehensively analyze the pipeline network integrated data and obtain data analysis results, including: Determine risk factors based on the pipeline network integrated data and form a risk factor data set; Perform risk analysis based on the risk factor data set and obtain a first data analysis result; Constructing an underground pipeline facility data set based on the pipeline network integrated data; A risk analysis is performed based on the underground pipeline facility data set to obtain a second data analysis result.

7. A pipeline network construction safety risk assessment and early warning method according to claim 6, characterized in that: The determining of risk factors based on the pipeline network integrated data and forming a risk factor data set is specifically: Determining risk sources based on the pipeline network integrated data; Establishing a risk database based on the risk sources; Correspondingly associating the risk sources with risk factors in the risk database; Using hash index and / or B+ tree index to search and determine risk factors in the risk database; The found risk factors are marked and a risk factor data set is formed according to the marks.

8. A pipeline network construction safety risk assessment and early warning method according to claim 6, characterized in that: The performing risk analysis according to the risk factor data set specifically includes: performing data processing on the data in the risk factor data set; obtaining auxiliary data related to the risk factors; Assessing the harmfulness of the risk factor based on the auxiliary data and determining its risk level; Among them, the danger levels include level one risk, level two risk, level three risk and level four risk in descending order according to the degree of harm.

9. A pipeline network construction safety risk assessment and early warning method according to claim 6, characterized in that: The risk analysis is performed based on the underground pipeline facility data set, including: Performing short-term feature extraction based on the relative quantity of the signal customized based on the pipeline facility signal in the underground pipeline facility data set; Detect whether there are abnormal events based on the extracted short-term features, accumulate and calculate the long-term features of the signals with abnormal events, perform discretization after the accumulation calculation, and then input them into the pre-trained Bayesian recognition and classification network of the corresponding device for recognition and classification; The recognition and classification results are output as the second data analysis result.

10. A pipeline network construction safety risk assessment and early warning system, using a pipeline network construction safety risk assessment and early warning method as claimed in any one of claims 1 to 9, characterized in that: include: Internal and external environment monitoring module: used to use environmental monitoring equipment to monitor the surrounding environment of the pipeline construction area in real time and obtain internal and external environmental data; Construction equipment monitoring module: used to monitor the operating status of construction equipment and obtain equipment operating data; Pipeline network facility monitoring module: used to monitor the distribution of existing underground pipeline network facilities to obtain facility distribution data; Monitoring data integration module: used to integrate the internal environment data, the external environment data, the equipment operation data and the facility distribution data, and obtain the pipe network integration data after preprocessing; Integrated data analysis module: used to comprehensively analyze the pipeline network integrated data and obtain data analysis results; Security risk assessment module: used to perform risk assessment based on the data analysis results and issue security warnings based on the assessment results.

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