CN116245369A - Digital intelligent construction management system and method for hydraulic engineering - Google Patents
Digital intelligent construction management system and method for hydraulic engineering Download PDFInfo
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Abstract
The invention provides a digital intelligent construction management system and method for hydraulic engineering, wherein the system comprises: the on-site parameter acquisition module is used for acquiring on-site parameters of a construction site of the hydraulic engineering; the construction risk replay determination library construction module is used for constructing a construction risk replay determination library special for a construction site based on site parameters and continuously updating the construction risk replay determination library; the field situation acquisition module is used for continuously acquiring the field situation in the construction field; and the construction risk determining module is used for determining the construction risk based on the site situation and the construction risk replay judgment library and outputting early warning. According to the digital intelligent construction management system and method for the hydraulic engineering, the system automatically and automatically completes risk supervision on the construction site of the hydraulic engineering, so that the labor cost is greatly reduced.
Description
Technical Field
The invention relates to the technical field of hydraulic engineering construction management, in particular to a digital intelligent construction management system and method for hydraulic engineering.
Background
At present, in order to ensure construction safety when hydraulic engineering is constructed, risk supervision is required to be carried out on the construction site of the hydraulic engineering, and early warning and treatment are timely carried out when construction risk is supervised. Generally, when risk supervision is performed on a construction site of a hydraulic engineering, risk supervision staff are arranged in each area of the construction site, and the risk supervision staff perform risk supervision on personnel operation and equipment working conditions of the construction site. However, in doing so, firstly, the construction site of the hydraulic engineering is often large in area, more risk supervision personnel are required to be installed, and the labor cost is extremely high; secondly, the personal efforts of risk supervision staff are limited after all, and the risk supervision on the construction site cannot be performed comprehensively and continuously, so that the possibility that the construction site still has construction risks can be caused. Thus, a solution is needed.
Disclosure of Invention
The invention aims to provide a digital intelligent construction management system for hydraulic engineering, which automatically and automatically completes risk supervision on a construction site of the hydraulic engineering, and does not need to install risk supervision personnel in each area of the construction site, so that the labor cost is greatly reduced.
The embodiment of the invention provides a digital intelligent construction management system for hydraulic engineering, which comprises the following components:
the on-site parameter acquisition module is used for acquiring on-site parameters of a construction site of the hydraulic engineering;
the construction risk replay determination library construction module is used for constructing a construction risk replay determination library special for a construction site based on site parameters and continuously updating the construction risk replay determination library;
the field situation acquisition module is used for continuously acquiring the field situation in the construction field;
the construction risk determining module is used for determining construction risk based on the site situation and the construction risk replay judgment library;
and the risk early warning module is used for carrying out risk early warning on the construction site based on construction risks.
Preferably, the construction risk replay determination library construction module constructs a construction risk replay determination library dedicated to a construction site based on the site parameters, including:
extracting a first part of parameters of a preset first parameter type from the field parameters;
generating construction risk event search conditions based on the first part of parameters and a preset construction risk event search condition template;
searching construction risk events from the Internet based on the construction risk event searching conditions;
verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event respectively;
when the construction risk event passes the verification, extracting a first event feature of a preset first feature type from the construction risk event;
generating an event condition based on the first event feature and a preset event spring template;
extracting a second partial parameter of a preset second parameter type from the field parameters;
determining whether the second partial parameter meets the incident condition;
if yes, extracting a second incident feature of a preset second feature type from the construction risk event;
generating a replay decision rule based on the second incident feature and a preset replay decision rule template;
and constructing a construction risk replay judgment library based on each replay judgment rule.
Preferably, the construction risk replay determination library construction module respectively verifies a first trust level of a construction risk event and a second trust level of an event source of the construction risk event, including:
determining whether any statement in a preset statement library exists in the construction risk event;
if yes, acquiring a preset first weight corresponding to the existing statement sentence, and counting the accumulated sum of the first weights by the first trust degree;
otherwise, determining the content proportion of any content type in a preset content type library in the construction risk event;
determining a second weight based on a preset weight table corresponding to the content proportion and the content type, wherein the first trust degree is calculated by accumulating the accumulated sum of the second weight;
when the first trust degree is greater than or equal to a preset first trust degree threshold value, passing verification;
determining whether the event source is in a preset authentication event source library;
when yes, the second trust degree of the event source is verified;
otherwise, acquiring an evaluation value of the event source from a preset trust evaluation platform;
giving a preset platform weight corresponding to the evaluation value trust evaluation platform, obtaining a target value, and counting the accumulation sum of the accumulation target values by the second trust degree;
and when the second trust degree is greater than or equal to a preset second trust degree threshold value, passing the verification.
Preferably, the site situation acquisition module continuously acquires the site situation in the construction site, including:
acquiring the site conditions in the construction site through site condition acquisition equipment arranged at a plurality of preset positions in the construction site;
and/or the number of the groups of groups,
and acquiring the site conditions of a plurality of patrol workers in the construction site based on the information reported by the intelligent terminal.
Preferably, the construction risk determining module determines the construction risk based on the site situation and the construction risk replay decision library, including:
and executing the replay determination rule in the construction risk replay determination library for the site situation to determine the construction risk.
Preferably, the risk early warning module performs risk early warning on a construction site based on construction risk, including:
respectively acquiring a site map of a construction site and a risk position of construction risks;
mapping construction risks to the sides of corresponding map positions in the site map based on the risk positions;
acquiring a risk follow-up tracking template corresponding to the construction risk;
determining a risk follow-up of the construction risk from the site situation based on the risk follow-up tracking template;
mapping the risk to the map position;
acquiring a risk responsibility-following template corresponding to the construction risk;
determining the contact mode of site responsibility personnel based on a risk responsibility tracking template and a preset responsibility division table corresponding to a construction site;
mapping the contact information to the side of the map position;
determining a minimum local map containing construction risks, risk follow-up and contact modes from a site map;
and pushing the local map to a preset command center corresponding to the site responsibility personnel and the construction site.
The digital intelligent construction management method for hydraulic engineering provided by the embodiment of the invention is characterized by comprising the following steps:
step S1: acquiring site parameters of a construction site of hydraulic engineering;
step S2: constructing a construction risk replay judgment library special for a construction site based on site parameters, and continuously updating;
step S3: continuously acquiring the site condition in a construction site;
step S4: determining construction risks based on the site situation and the construction risk replay judgment library;
step S5: and (5) performing risk early warning on the construction site based on the construction risk.
Preferably, in step S2, a construction risk replay determination library dedicated to a construction site is constructed based on the site parameters, including:
extracting a first part of parameters of a preset first parameter type from the field parameters;
generating construction risk event search conditions based on the first part of parameters and a preset construction risk event search condition template;
searching construction risk events from the Internet based on the construction risk event searching conditions;
verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event respectively;
when the construction risk event passes the verification, extracting a first event feature of a preset first feature type from the construction risk event;
generating an event condition based on the first event feature and a preset event spring template;
extracting a second partial parameter of a preset second parameter type from the field parameters;
determining whether the second partial parameter meets the incident condition;
if yes, extracting a second incident feature of a preset second feature type from the construction risk event;
generating a replay decision rule based on the second incident feature and a preset replay decision rule template;
and constructing a construction risk replay judgment library based on each replay judgment rule.
Preferably, verifying the first trust level of the construction risk event and the second trust level of the event source of the construction risk event respectively includes:
determining whether any statement in a preset statement library exists in the construction risk event;
if yes, acquiring a preset first weight corresponding to the existing statement sentence, and counting the accumulated sum of the first weights by the first trust degree;
otherwise, determining the content proportion of any content type in a preset content type library in the construction risk event;
determining a second weight based on a preset weight table corresponding to the content proportion and the content type, wherein the first trust degree is calculated by accumulating the accumulated sum of the second weight;
when the first trust degree is greater than or equal to a preset first trust degree threshold value, passing verification;
determining whether the event source is in a preset authentication event source library;
when yes, the second trust degree of the event source is verified;
otherwise, acquiring an evaluation value of the event source from a preset trust evaluation platform;
giving a preset platform weight corresponding to the evaluation value trust evaluation platform, obtaining a target value, and counting the accumulation sum of the accumulation target values by the second trust degree;
and when the second trust degree is greater than or equal to a preset second trust degree threshold value, passing the verification.
Preferably, step S3: continuously acquiring field conditions in a construction field, including:
acquiring the site conditions in the construction site through site condition acquisition equipment arranged at a plurality of preset positions in the construction site;
and/or the number of the groups of groups,
and acquiring the site conditions of a plurality of patrol workers in the construction site based on the information reported by the intelligent terminal.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a digital intelligent construction management system for hydraulic engineering in an embodiment of the invention;
fig. 2 is a schematic diagram of a digital intelligent construction management method for hydraulic engineering according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
The embodiment of the invention provides a digital intelligent construction management system for hydraulic engineering, as shown in fig. 1, comprising:
the on-site parameter acquisition module 1 is used for acquiring on-site parameters of a construction site of the hydraulic engineering;
the construction risk replay determination library construction module 2 is used for constructing a construction risk replay determination library special for a construction site based on site parameters and continuously updating the construction risk replay determination library;
the site situation acquisition module 3 is used for continuously acquiring the site situation in the construction site;
the construction risk determining module 4 is used for determining construction risk based on the site situation and the construction risk replay determination library;
and the risk early warning module 5 is used for carrying out risk early warning on the construction site based on construction risks.
The working principle and the beneficial effects of the technical scheme are as follows:
the construction risk replay determination library of the construction site constructed based on the site parameters can be specially used for construction risk replay determination of the construction site of the current hydraulic engineering. And determining the construction risk based on the site situation and the construction risk replay judgment library. And immediately carrying out risk early warning on the construction site when the risk is determined. The system automatically monitors the risk of the construction site of the hydraulic engineering, does not need to install risk monitoring staff in each area of the construction site, greatly reduces labor cost, and can comprehensively and continuously monitor the risk of the construction site, thereby greatly reducing the possibility that the construction site still has construction risk.
In one embodiment, the construction risk replay decision library construction module 2 constructs a construction risk replay decision library specific to a construction site based on the site parameters, including:
extracting a first part of parameters of a preset first parameter type from the field parameters; the preset first parameter type is a hydraulic engineering construction area type parameter, and correspondingly, the first part parameter is, for example: aloft work areas (such as dams), submerged work areas (such as foundation pits), etc.;
generating construction risk event search conditions based on the first part of parameters and a preset construction risk event search condition template; the construction risk event search condition template is a template for generating a construction risk event search condition according to a first part of parameters, specifically, for example: the first partial parameters are high-altitude operation areas, and the generated construction risk event searching conditions are construction risk events occurring in the high-altitude operation areas in the hydraulic engineering construction;
searching construction risk events from the Internet based on the construction risk event searching conditions; constraints on construction risk event search conditions may be such that the searched construction risk event may be replayed in the current construction site;
verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event respectively;
when the construction risk event passes the verification, extracting a first event feature of a preset first feature type from the construction risk event; the first feature type is preset as an environmental condition feature of the construction risk event, specifically, for example: the construction risk event is an event that constructors fall down in an overhead working area, the first characteristic type is the height of the overhead working area, and the like, and the corresponding first incident characteristic is the height value of the overhead working area;
generating an event condition based on the first event feature and a preset event spring template; the event template is a template for generating an event condition according to the first event feature, specifically, for example: the first incident feature is that the height value of the aerial working area is 20 meters, and the generated incident condition is that the height value of the aerial working area is more than or equal to 20 meters;
extracting a second partial parameter of a preset second parameter type from the field parameters; the second parameter type is preset as the environmental characteristic in the current hydraulic engineering construction site, for example: the height of the aerial working area, etc., and correspondingly, the second partial parameter is an environmental characteristic value, for example: a height value of the overhead working area;
determining whether the second partial parameter meets the incident condition;
if yes, extracting a second incident feature of a preset second feature type from the construction risk event; the second feature type is preset to be a causative feature type of the occurrence of the construction risk event, specifically, for example: the construction risk event is an event of falling of constructors in an overhead working area, the second characteristic type is that the constructors are not tied with safety ropes, and the second characteristic type is that the constructors are not tied with the safety ropes correspondingly;
generating a replay decision rule based on the second incident feature and a preset replay decision rule template; the replay decision rule template is a template for generating a replay decision rule according to the second incident feature, specifically, for example: the second incident feature is that the personnel do not tie the safety rope, and the generated replay determination rule is that when the personnel do not tie the safety rope, construction risk replay is determined;
and constructing a construction risk replay judgment library based on each replay judgment rule.
The working principle and the beneficial effects of the technical scheme are as follows:
generally, if it is desired to implement automatic risk supervision in a construction site of hydraulic engineering, risk supervision early-warning conditions need to be manually set, for example: manually setting a water level threshold of a certain sinking construction area in the hydraulic engineering, and carrying out early warning when the water level value reaches the water level threshold; for another example: to determine whether or not the constructor in the overhead working area is not fastened with the safety rope based on the field image, it is necessary to manually set a rule that an early warning is issued when the constructor in the overhead working area is not fastened with the safety rope. In this way, the labor cost is high, and in addition, the set risk supervision early-warning conditions are not comprehensive enough, so that some risk supervision early-warning conditions for early warning of construction risks possibly occur can be omitted. Therefore, the embodiment of the invention searches construction risk events from the Internet, judges whether the searched construction risk events have conditions for replay on the current hydraulic engineering construction site, and if so, generates a corresponding replay judgment rule for warehousing. The cases of hydraulic engineering construction are many in the whole country or even the whole world in history, the construction risk event that takes place is also many, and the type of construction risk event also can be very abundant, therefore, in doing so, can be more comprehensive in construction risk supervision that construction risk replay decision bank is used for the job site of current hydraulic engineering, more need not the manual work to set up risk supervision early warning condition, reduced the human cost. And secondly, the construction risk event searching conditions and the construction risk event developing conditions are introduced, conditional construction risk events which are possibly replayed on the current hydraulic engineering construction site are accurately screened from the searched construction risk events, system resources are reduced, and the determining efficiency of the replay determining rule is improved.
In one embodiment, the construction risk replay decision library construction module 2 verifies a first confidence level of a construction risk event and a second confidence level of an event origin of the construction risk event, respectively, including:
determining whether any statement in a preset statement library exists in the construction risk event; the construction risk events are mostly reports of construction risks of hydraulic engineering, such as news media platforms, hydraulic engineering construction communication platforms and the like; the declaration statement is a statement that the platform declares that the story content is to be verified further, for example: "specific accident cause to be further verified" and the like;
if yes, acquiring a preset first weight corresponding to the existing statement sentence, and counting the accumulated sum of the first weights by the first trust degree; the more the statement represents a construction risk event requiring further verification, etc., the smaller the first weight;
otherwise, determining the content proportion of any content type in a preset content type library in the construction risk event; the content types in the content type library are risk scene pictures, risk scene interview videos and the like; the content proportion is the proportion of the content type to the construction risk event;
determining a second weight based on a preset weight table corresponding to the content proportion and the content type, wherein the first trust degree is calculated by accumulating the accumulated sum of the second weight; the weight table is provided with second weights corresponding to different content proportions, and the more the content proportions are, the larger the second weights are; the more the content of the content type can represent the authenticity of the construction risk event, the higher the degree of positive correlation between the second weight and the content proportion in the corresponding weight table;
when the first trust degree is greater than or equal to a preset first trust degree threshold value, passing verification;
determining whether the event source is in a preset authentication event source library; a large number of authenticated news media platforms and hydraulic engineering construction communication platforms are arranged in the authentication event exit library;
when yes, the second trust degree of the event source is verified;
otherwise, acquiring an evaluation value of the event source from a preset trust evaluation platform; the trust evaluation platform is a large data platform, trust evaluation is carried out on the event provenance, and the higher the evaluation value is, the higher the trust degree of the event provenance is;
giving a preset platform weight corresponding to the evaluation value trust evaluation platform, obtaining a target value, and counting the accumulation sum of the accumulation target values by the second trust degree;
and when the second trust degree is greater than or equal to a preset second trust degree threshold value, passing the verification.
The working principle and the beneficial effects of the technical scheme are as follows:
and verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event respectively, and determining the replay determination rule based on the construction risk event when the verification passes, so that the accuracy of determining the replay determination rule is improved. Generally, reports of construction risks of hydraulic engineering such as a news media platform and a hydraulic engineering construction communication platform can have different quality, so that in this way, the constructed construction risk replay judgment library can be improved to be more suitable for the construction site of the current hydraulic engineering, and the applicability of the system is improved.
In one embodiment, the site situation acquisition module 3 continuously acquires site situations within a construction site, including:
acquiring the site conditions in the construction site through site condition acquisition equipment arranged at a plurality of preset positions in the construction site; the field condition acquisition device includes: a camera, a water level sensor, etc.;
and/or the number of the groups of groups,
and acquiring the site conditions of a plurality of patrol workers in the construction site based on the information reported by the intelligent terminal. Some patrol staff can also be slightly set, and the patrol staff reports based on the intelligent terminal.
The working principle and the beneficial effects of the technical scheme are as follows:
the two ways are introduced to continuously acquire the site situation in the construction site, so that the comprehensiveness of acquiring the site situation is improved.
In one embodiment, the construction risk determination module 4 determines a construction risk based on the site situation and the construction risk replay decision library, including:
and executing the replay determination rule in the construction risk replay determination library for the site situation to determine the construction risk.
When the construction risk replay determination library is used, the replay determination rule in the construction risk replay determination library is executed for the site situation, and the construction risk is determined.
In one embodiment, the risk early-warning module 5 performs risk early warning on a construction site based on construction risk, including:
respectively acquiring a site map of a construction site and a risk position of construction risks;
mapping construction risks to the sides of corresponding map positions in the site map based on the risk positions;
acquiring a risk follow-up tracking template corresponding to the construction risk; the risk follow-up tracking template is a template for tracking and acquiring the risk follow-up of construction risk, for example: the construction risk is that personnel are not tied with safety ropes in the high-altitude operation area, and the follow-up tracking template of risk is to continuously track and acquire images of the personnel, the nearest distance between the images and the edge of the high-altitude operation area and the like;
determining a risk follow-up of the construction risk from the site situation based on the risk follow-up tracking template;
mapping the risk to the map position;
acquiring a risk responsibility-following template corresponding to the construction risk; the risk-chasing template is a template for chasing construction risks, for example: the construction risk is that personnel are not tied with safety ropes in an overhead working area, and the risk overtaking template is used for acquiring the identities of the personnel which are not tied with the safety ropes;
determining the contact mode of site responsibility personnel based on a risk responsibility tracking template and a preset responsibility division table corresponding to a construction site; the responsibility division list is preset by personnel, and personnel, manager lists and contact modes for construction on different construction sites on the same day are included in the responsibility division list;
mapping the contact information to the side of the map position;
determining a minimum local map containing construction risks, risk follow-up and contact modes from a site map;
and pushing the local map to a preset command center corresponding to the site responsibility personnel and the construction site. After the site responsibility personnel check, the construction risk is processed, and the command center can also remotely check.
The working principle and the beneficial effects of the technical scheme are as follows:
generally, risk early warning is to prompt a background person, and the background person looks over the construction risk condition and takes treatment measures. However, a certain time is often consumed in the process of checking the construction risk condition and taking the treatment measures by the background personnel, and the embodiment of the invention directly maps the contact modes of the construction risk, the risk follow-up and the responsible person to the side of the corresponding map position of the risk position of the construction risk in the site map, so that the background personnel is not required to check the construction risk condition and take the treatment measures, and the timeliness of early warning treatment is improved. The on-site responsible personnel can see the contact ways of other on-site responsible personnel in the local map to conduct communication and the like, and can make the most timely and proper processing decision on site according to the risk follow-up, so that the method is very convenient. In addition, the command center can remotely check follow-up, position, contact modes of responsible persons and the like of construction risks, so that recording is facilitated, and necessary remote command is realized.
The embodiment of the invention provides a digital intelligent construction management method for hydraulic engineering, which is characterized by comprising the following steps:
step S1: acquiring site parameters of a construction site of hydraulic engineering;
step S2: constructing a construction risk replay judgment library special for a construction site based on site parameters, and continuously updating;
step S3: continuously acquiring the site condition in a construction site;
step S4: determining construction risks based on the site situation and the construction risk replay judgment library;
step S5: and (5) performing risk early warning on the construction site based on the construction risk.
In one embodiment, in step S2, a construction risk replay determination library dedicated to a construction site is constructed based on site parameters, including:
extracting a first part of parameters of a preset first parameter type from the field parameters;
generating construction risk event search conditions based on the first part of parameters and a preset construction risk event search condition template;
searching construction risk events from the Internet based on the construction risk event searching conditions;
verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event respectively;
when the construction risk event passes the verification, extracting a first event feature of a preset first feature type from the construction risk event;
generating an event condition based on the first event feature and a preset event spring template;
extracting a second partial parameter of a preset second parameter type from the field parameters;
determining whether the second partial parameter meets the incident condition;
if yes, extracting a second incident feature of a preset second feature type from the construction risk event;
generating a replay decision rule based on the second incident feature and a preset replay decision rule template;
and constructing a construction risk replay judgment library based on each replay judgment rule.
In one embodiment, verifying the first confidence level of the construction risk event and the second confidence level of the event source of the construction risk event respectively includes:
determining whether any statement in a preset statement library exists in the construction risk event;
if yes, acquiring a preset first weight corresponding to the existing statement sentence, and counting the accumulated sum of the first weights by the first trust degree;
otherwise, determining the content proportion of any content type in a preset content type library in the construction risk event;
determining a second weight based on a preset weight table corresponding to the content proportion and the content type, wherein the first trust degree is calculated by accumulating the accumulated sum of the second weight;
when the first trust degree is greater than or equal to a preset first trust degree threshold value, passing verification;
determining whether the event source is in a preset authentication event source library;
when yes, the second trust degree of the event source is verified;
otherwise, acquiring an evaluation value of the event source from a preset trust evaluation platform;
giving a preset platform weight corresponding to the evaluation value trust evaluation platform, obtaining a target value, and counting the accumulation sum of the accumulation target values by the second trust degree;
and when the second trust degree is greater than or equal to a preset second trust degree threshold value, passing the verification.
In one embodiment, step S3: continuously acquiring field conditions in a construction field, including:
acquiring the site conditions in the construction site through site condition acquisition equipment arranged at a plurality of preset positions in the construction site;
and/or the number of the groups of groups,
and acquiring the site conditions of a plurality of patrol workers in the construction site based on the information reported by the intelligent terminal.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the spirit or scope of the invention. Thus, it is intended that the present invention also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (10)
1. Digital intelligent construction management system that hydraulic engineering used, its characterized in that includes:
the on-site parameter acquisition module is used for acquiring on-site parameters of a construction site of the hydraulic engineering;
the construction risk replay determination library construction module is used for constructing a construction risk replay determination library special for the construction site based on the site parameters and continuously updating the construction risk replay determination library;
the field condition acquisition module is used for continuously acquiring the field condition in the construction field;
the construction risk determining module is used for determining construction risk based on the site situation and the construction risk replay judgment library;
and the risk early warning module is used for carrying out risk early warning on the construction site based on the construction risk.
2. The digital intelligent construction management system for hydraulic engineering according to claim 1, wherein the construction risk replay determination library construction module constructs a construction risk replay determination library dedicated to the construction site based on the site parameters, comprising:
extracting a first partial parameter of a preset first parameter type from the field parameters;
generating construction risk event search conditions based on the first part parameters and a preset construction risk event search condition template;
searching construction risk events from the Internet based on the construction risk event searching conditions;
respectively verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event;
when the construction risk event passes the verification, extracting a first event feature of a preset first feature type from the construction risk event;
generating an event condition based on the first event feature and a preset event spring template;
extracting a second partial parameter of a preset second parameter type from the field parameter;
determining whether the second partial parameter satisfies the incident condition;
if yes, extracting a second incident feature of a preset second feature type from the construction risk event;
generating a replay decision rule based on the second incident feature and a preset replay decision rule template;
and constructing the construction risk replay determination library based on each replay determination rule.
3. The digital intelligent construction management system for hydraulic engineering according to claim 2, wherein the construction risk replay determination library construction module verifies a first confidence level of the construction risk event and a second confidence level of an event origin of the construction risk event, respectively, including:
determining whether any statement in a preset statement library exists in the construction risk event;
if yes, acquiring a preset first weight corresponding to the existing statement, wherein the first trust degree is calculated by accumulating the accumulated sum of the first weights;
otherwise, determining the content proportion of any content type in a preset content type library in the construction risk event;
determining a second weight based on a preset weight table corresponding to the content proportion and the content type, wherein the first trust degree is calculated by accumulating the accumulated sum of the second weight;
when the first trust degree is greater than or equal to a preset first trust degree threshold value, passing verification;
determining whether the event source is in a preset authentication event source library;
when yes, the second trust degree of the event source is verified;
otherwise, acquiring an evaluation value of the event source from a preset trust evaluation platform;
giving a preset platform weight corresponding to the trust evaluation platform to the evaluation value, and obtaining a target value, wherein the second trust degree is calculated by accumulating the accumulation sum of the target value;
and when the second trust degree is greater than or equal to a preset second trust degree threshold value, passing verification.
4. The digital intelligent construction management system for hydraulic engineering according to claim 2, wherein the site situation acquisition module continuously acquires the site situation in the construction site, comprising:
acquiring the site conditions in the construction site through site condition acquisition equipment arranged at a plurality of preset positions in the construction site;
and/or the number of the groups of groups,
and acquiring the site conditions of a plurality of patrol workers in the construction site based on the field conditions reported by the intelligent terminal.
5. The digital intelligent construction management system for hydraulic engineering according to claim 2, wherein the construction risk determination module determines a construction risk based on the site situation and the construction risk replay determination library, comprising:
and executing the replay determination rule in the construction risk replay determination library for the site situation to determine the construction risk.
6. The digital intelligent construction management system for hydraulic engineering according to claim 1, wherein the risk early warning module performs risk early warning on the construction site based on the construction risk, comprising:
respectively acquiring a site map of the construction site and a risk position of the construction risk;
mapping the construction risk to the side of a corresponding map position in the site map based on the risk position;
acquiring a risk follow-up tracking template corresponding to the construction risk;
determining a risk follow-up of the construction risk from the site situation based on the risk follow-up tracking template;
mapping the risk follow-up to the map position;
acquiring a risk responsibility-following template corresponding to the construction risk;
determining the contact way of on-site responsibility personnel based on the risk responsibility tracking template and a preset responsibility division table corresponding to the construction site;
mapping the contact information to the side of the map position;
determining a minimum local map containing the construction risk, risk follow-up and the contact way from the site map;
and pushing the local map to a preset command center corresponding to the construction site by the site responsibility personnel.
7. The digital intelligent construction management method for the hydraulic engineering is characterized by comprising the following steps of:
step S1: acquiring site parameters of a construction site of hydraulic engineering;
step S2: constructing a construction risk replay determination library special for the construction site based on the site parameters, and continuously updating;
step S3: continuously acquiring the site conditions in the construction site;
step S4: determining a construction risk based on the site situation and the construction risk replay decision library;
step S5: and carrying out risk early warning on the construction site based on the construction risk.
8. The method for digital intelligent construction management for hydraulic engineering according to claim 7, wherein in the step S2, a construction risk replay determination library dedicated to the construction site is constructed based on the site parameters, comprising:
extracting a first partial parameter of a preset first parameter type from the field parameters;
generating construction risk event search conditions based on the first part parameters and a preset construction risk event search condition template;
searching construction risk events from the Internet based on the construction risk event searching conditions;
respectively verifying the first trust degree of the construction risk event and the second trust degree of the event source of the construction risk event;
when the construction risk event passes the verification, extracting a first event feature of a preset first feature type from the construction risk event;
generating an event condition based on the first event feature and a preset event spring template;
extracting a second partial parameter of a preset second parameter type from the field parameter;
determining whether the second partial parameter satisfies the incident condition;
if yes, extracting a second incident feature of a preset second feature type from the construction risk event;
generating a replay decision rule based on the second incident feature and a preset replay decision rule template;
and constructing the construction risk replay determination library based on each replay determination rule.
9. The method for digital intelligent construction management for hydraulic engineering according to claim 8, wherein verifying the first confidence level of the construction risk event and the second confidence level of the event source of the construction risk event respectively includes:
determining whether any statement in a preset statement library exists in the construction risk event;
if yes, acquiring a preset first weight corresponding to the existing statement, wherein the first trust degree is calculated by accumulating the accumulated sum of the first weights;
otherwise, determining the content proportion of any content type in a preset content type library in the construction risk event;
determining a second weight based on a preset weight table corresponding to the content proportion and the content type, wherein the first trust degree is calculated by accumulating the accumulated sum of the second weight;
when the first trust degree is greater than or equal to a preset first trust degree threshold value, passing verification;
determining whether the event source is in a preset authentication event source library;
when yes, the second trust degree of the event source is verified;
otherwise, acquiring an evaluation value of the event source from a preset trust evaluation platform;
giving a preset platform weight corresponding to the trust evaluation platform to the evaluation value, and obtaining a target value, wherein the second trust degree is calculated by accumulating the accumulation sum of the target value;
and when the second trust degree is greater than or equal to a preset second trust degree threshold value, passing verification.
10. The digital intelligent construction management method for hydraulic engineering according to claim 8, wherein the step S3: continuously acquiring the site conditions in the construction site, including:
acquiring the site conditions in the construction site through site condition acquisition equipment arranged at a plurality of preset positions in the construction site;
and/or the number of the groups of groups,
and acquiring the site conditions of a plurality of patrol workers in the construction site based on the field conditions reported by the intelligent terminal.
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