CN116843086B - Sewage blocking water inlet sluice concrete structure construction monitoring system based on data analysis - Google Patents
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Abstract
The invention discloses a construction monitoring system of a sewage blocking water inlet gate concrete structure based on data analysis, which relates to the technical field of hydraulic engineering construction monitoring, wherein after regional data is received by a regional evaluation module, the regional data is substituted into a regional model for comprehensive analysis, foundation conditions of a construction region are evaluated, a corresponding evaluation report is generated by a report module according to an evaluation result generated by the regional evaluation module, the evaluation report comprises that the construction region supports the construction of the concrete structure, the construction region does not support the construction of the concrete structure, so that the construction region is evaluated before the construction of the concrete structure, whether the construction region supports the construction is confirmed, the construction region is prevented from being replaced in the construction process, the construction cost is reduced, and an abnormal prediction module is arranged in different construction stages. According to the method, construction data and area data are substituted into the prediction model for comprehensive analysis at regular intervals, so that construction abnormality prediction is carried out at different construction stages, and the construction quality and the construction efficiency of the concrete structure are guaranteed.
Description
Technical Field
The invention relates to the technical field of hydraulic engineering construction monitoring, in particular to a sewage blocking water inlet sluice concrete structure construction monitoring system based on data analysis.
Background
The water gate equipment is used in water conservancy engineering and city drainage system and has the main functions of intercepting and regulating sewage, silt and floating matter entering downstream river or drainage system, and the concrete structure background of the equipment is the concrete structure for its construction and design.
The prior art has the following defects:
1. before the construction of the concrete structure is started, the construction area of the concrete structure is not comprehensively evaluated, and when the construction area is found to be incapable of supporting the use of the concrete structure in the construction process, the concrete structure is required to be stopped and other construction areas are required to be replaced, so that the construction cost of the concrete structure is increased;
2. after the construction area is selected, in the construction process, the prior art cannot effectively predict the construction abnormality, so that corresponding treatment cannot be performed on the abnormality in advance, the problem that the cost is increased due to repeated reworking and repairing can be solved, and the use quality of the concrete structure cannot be guaranteed after the construction is completed.
Disclosure of Invention
The invention aims to provide a sewage blocking water inlet sluice concrete structure construction monitoring system based on data analysis, which aims to solve the defects in the background technology.
In order to achieve the above object, the present invention provides the following technical solutions: the system for monitoring the construction of the sewage blocking water inlet sluice concrete structure based on the data analysis comprises a regional data acquisition module, a regional evaluation module, a reporting module, a concrete structure monitoring module, an abnormality prediction module and an early warning module:
regional data acquisition module: collecting area data of a selected construction area;
region assessment module: substituting the regional data into a regional model for comprehensive analysis, and evaluating the foundation condition of the construction region;
and a reporting module: generating a corresponding evaluation report according to the evaluation result generated by the regional evaluation module;
and the concrete structure monitoring module is as follows: in the construction process, construction data of different construction stages of the concrete structure are obtained;
an anomaly prediction module: in different construction stages, substituting construction data and regional data into a prediction model for comprehensive analysis at regular intervals;
and the early warning module is used for: and generating a corresponding early warning signal according to the prediction result of the prediction model.
In a preferred embodiment, the area data acquisition module is configured to acquire area data of the selected construction area, where the area data includes an area foundation load normalized value, an area foundation vibration frequency, and an area water flow rate.
In a preferred embodiment, the establishing of the region model comprises the steps of:
after the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity removal dimension are calculated comprehensively to obtain a regional coefficientThe computational expression is:
；
in the method, in the process of the invention,normalized values for regional foundation load +.>Is the vibration frequency of the regional foundation>For regional water flow rate>、/>The ratio coefficients of the vibration frequency of the regional foundation and the flow velocity of the regional water flow are respectively +.>、/>Are all greater than 0.
In a preferred embodiment, the area evaluation module receives the area foundation bearing normalized value, the area foundation vibration frequency and the area water flow velocity acquired by the area data acquisition module, and substitutes the area foundation bearing normalized value, the area foundation vibration frequency and the area water flow velocity into the area coefficientThe regional coefficients are calculated in the calculation formulaRegion coefficient->And evaluation threshold->Comparing;
if regional coefficientsEvaluate threshold ∈>During the construction, the construction of the supporting concrete structure of the construction area is evaluated;
if regional coefficients< evaluation threshold->And when the construction area is estimated to not support the construction of the concrete structure.
In a preferred embodiment, the regional foundation carries a normalized value acquisition logicThe editing is as follows: firstly, calculating to obtain a regional foundation bearing deviation value, wherein the calculation expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Carrying a deviation value for the regional foundation->For regional foundation bearing capacity->For the expected pressure of the concrete structure, when the bearing deviation value of the regional foundation is greater than or equal to the bearing deviation threshold value, the bearing normalization value of the regional foundation is +.>When the regional foundation bearing deviation value is less than the bearing deviation threshold value, the regional foundation bearing normalization value +.>。
In a preferred embodiment, the establishment of the prediction model comprises the steps of:
the regional foundation bearing normalization value, the regional foundation vibration frequency, the regional water flow velocity in the regional data are integrated to establish a prediction coefficient after the dimension is removed from the construction data in different construction stagesThe computational expression is:
；
in the method, in the process of the invention,is the vibration frequency of the regional foundation>Is a region ofDomain water flow rate,/->、/>The ratio coefficients of the vibration frequency of the regional foundation and the flow velocity of the regional water flow are respectively +.>、/>Are all greater than 0;
for the foundation construction stage->For the construction stage of the upright post and the wall body>For the construction stage of beams and slabs, < > for>Is a prestressed or reinforced concrete member construction stage, < >>、/>、/>、/>For the expected time point of each construction stage, it should be noted that, under the influence of environmental factors, the time point of each construction stage may change, and the construction supervisor is required to update the time point information in time;
construction data of foundation construction stage +.>Scale factor for different construction data of foundation construction stage, < ->Summing the ith construction data, +.>Construction data of the construction stage of the upright post and the wall body, < + >>The proportion coefficient of different construction data of the upright post and the wall construction stage is +.>Summing up the construction data for the j-th construction,construction data for beam and slab construction phase, +.>For the proportionality coefficient of different construction data of the beam and the plate construction stage, +.>Summing up the kth construction data, +.>Construction data for the construction phase of prestressed or reinforced concrete components +.>Is the proportionality coefficient of different construction data of the prestressed or reinforced concrete member construction stage>Summing the h construction data.
In a preferred embodiment, theThe construction data of the foundation construction stage comprises foundation settlement and earth surface displacement, and the calculation expression of the construction data of the foundation construction stage is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>Respectively, foundation subsidence and earth surface displacement, +.>、/>Proportional coefficients of foundation settlement and surface displacement, respectively, and +.>、/>Are all greater than 0;
the construction data of the upright post and the wall construction stage comprise the inclination of the upright post, the horizontal displacement of the wall body and the crack length of the wall body, and the calculation expression of the construction data of the upright post and the wall construction stage is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>、/>Respectively the gradient of the upright post, the horizontal displacement of the wall body and the crack length of the wall body, +.>、/>、/>The ratio coefficients of the column gradient, the wall horizontal displacement and the wall crack length are respectively +.>、/>、/>Are all greater than 0.
In a preferred embodiment, the construction data of the beam and plate construction stage includes beam deflection, beam load deformation and beam crack length, and the calculation expression of the construction data of the beam and plate construction stage is:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>、/>Respectively beam deflection, beam load deformation and beam crack length +.>、/>、/>Proportional coefficients of beam deflection, beam load deformation and beam crack length are respectively +.>、/>、/>Are all greater than 0;
the construction data of the construction stage of the prestressed or reinforced concrete member comprises the component prestress force, the component surface defect degree and the component crack length, and the calculation expression of the construction data of the construction stage of the prestressed or reinforced concrete member is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>、/>Respectively the prestress force of the component, the surface defect degree of the component and the crack length of the component, +.>、/>、/>Proportional coefficients of component prestress, component surface defect and component crack length, respectively +.>、/>、/>Are all greater than 0.
In a preferred embodiment, after the prediction coefficient is obtained in the foundation construction stage, comparing the prediction coefficient with a first threshold value, if the prediction coefficient is not less than the first threshold value, predicting that the foundation construction stage is abnormal, and if the prediction coefficient is less than the first threshold value, predicting that the foundation construction stage is abnormal;
after the prediction coefficients are obtained in the construction stage of the upright post and the wall body, comparing the prediction coefficients with a second threshold value, if the prediction coefficients are more than or equal to the second threshold value, predicting that no abnormality exists in the construction stage of the upright post and the wall body, and if the prediction coefficients are less than the second threshold value, predicting that the abnormality exists in the construction stage of the upright post and the wall body;
after the prediction coefficient is obtained in the beam and plate construction stage, comparing the prediction coefficient with a third threshold value, if the prediction coefficient is more than or equal to the third threshold value, predicting that no abnormality exists in the beam and plate construction stage, and if the prediction coefficient is less than the third threshold value, predicting that the abnormality exists in the beam and plate construction stage;
after the prediction coefficient is obtained in the construction stage of the prestressed or reinforced concrete member, comparing the prediction coefficient with a fourth threshold value, if the prediction coefficient is more than or equal to the fourth threshold value, predicting the construction stage of the prestressed or reinforced concrete member, and if the prediction coefficient is less than the fourth threshold value, predicting that the construction stage of the prestressed or reinforced concrete member is abnormal.
In a preferred embodiment, the early warning module generates a first early warning signal when the early warning module receives the prediction result in the foundation construction stage and the prediction result is abnormal in the foundation construction stage;
when the predicted result is received in the construction stage of the upright post and the wall body and is abnormal in the construction stage of the upright post and the wall body, the early warning module generates a second early warning signal;
when the predicted result is received in the construction stage of the cross beam and the plate and is abnormal in the construction stage of the cross beam and the plate, the early warning module generates a third early warning signal;
and when the predicted result is received in the construction stage of the prestressed or reinforced concrete member and is abnormal in the construction stage of the prestressed or reinforced concrete member, the early warning module generates a fourth early warning signal.
In the technical scheme, the invention has the technical effects and advantages that:
1. according to the invention, after the regional data is received by the regional assessment module, the regional data is substituted into the regional model for comprehensive analysis, the foundation condition of the construction region is assessed, the report module generates a corresponding assessment report according to the assessment result generated by the regional assessment module, the assessment report comprises that the construction region supports the construction of the concrete structure, and the construction region does not support the construction of the concrete structure, so that the construction region is assessed before the construction of the concrete structure, whether the construction region supports the construction is confirmed, the construction region is prevented from being replaced in the construction process, the construction cost is reduced, and the abnormal prediction module substitutes the construction data and the regional data into the prediction model for comprehensive analysis at regular intervals in different construction stages, so that the construction abnormal prediction is performed in different construction stages, and the construction quality and the construction efficiency of the concrete structure are ensured;
2. according to the method, after the regional foundation bearing normalization value, the regional foundation vibration frequency and the regional water flow velocity are removed, the regional coefficient is comprehensively calculated and obtained, the regional coefficient is compared with the evaluation threshold value by the regional evaluation module, whether the regional support concrete structure construction is carried out in the region is evaluated according to the comparison result, and multiple data are comprehensively analyzed and comprehensively analyzed;
3. according to the method, different construction data are obtained in different construction stages, and the construction data and the regional data are comprehensively analyzed, so that abnormal prediction can be carried out in different construction stages, when any construction stage is predicted to be abnormal, an early warning signal is timely sent out, the remote control platform is convenient to carry out corresponding management in advance, and the stability and the safety construction of a concrete structure are ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
FIG. 1 is a block diagram of a system according to the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, the system for monitoring construction of a concrete structure of a sewage blocking and water intake gate based on data analysis in this embodiment includes a region data acquisition module, a region evaluation module, a report module, a concrete structure monitoring module, an anomaly prediction module, and an early warning module:
the regional data acquisition module is used for acquiring regional data of the selected construction region, and the regional data is sent to the regional assessment module and the anomaly prediction module after being preprocessed;
after receiving the regional data, the regional assessment module substitutes the regional data into the regional model for comprehensive analysis, assesses the foundation condition of the construction region, and sends the assessment result to the reporting module;
the report module generates a corresponding evaluation report according to the evaluation result generated by the area evaluation module, wherein the evaluation report comprises construction area supporting concrete structure construction, construction area not supporting concrete structure construction, when the evaluation report is that the construction area supporting concrete structure construction, the current construction area is selected for constructing the concrete structure, when the evaluation report is that the construction area not supporting concrete structure construction, other construction areas are required to be selected for continuing the evaluation until the evaluation report is that the construction area supporting concrete structure construction is started;
after the concrete structure begins to be constructed, the concrete structure monitoring module acquires construction data of different construction stages of the concrete structure in the construction process, and sends the construction data of the different construction stages of the concrete structure to the abnormality prediction module;
the abnormal prediction module substitutes construction data and area data into the prediction model to comprehensively analyze at regular intervals in different construction stages, and the prediction result is sent to the early warning module;
the early warning module generates a corresponding early warning signal according to the prediction result of the prediction model, the early warning signal is sent to the remote control platform based on the 4G/5G signal, and the remote control platform needs to make a corresponding management strategy after receiving the early warning signal.
After the regional data are received by the regional assessment module, the regional data are substituted into the regional model for comprehensive analysis, the foundation condition of the construction region is assessed, the reporting module generates a corresponding assessment report according to the assessment result generated by the regional assessment module, the assessment report comprises that the construction region supports the construction of the concrete structure, the construction region does not support the construction of the concrete structure, therefore, the construction region is assessed before the construction of the concrete structure, whether the construction region supports the construction is confirmed, the construction region is prevented from being replaced in the construction process, the construction cost is reduced, and the abnormal prediction module substitutes the construction data and the regional data into the prediction model for comprehensive analysis at regular intervals in different construction stages, so that the abnormal prediction of the construction is performed in different construction stages, and the construction quality and the construction efficiency of the concrete structure are guaranteed.
Example 2: the regional data acquisition module is used for acquiring regional data of the selected construction region, and the regional data is sent to the regional assessment module and the anomaly prediction module after being preprocessed;
after receiving the regional data, the regional assessment module substitutes the regional data into the regional model for comprehensive analysis, assesses the foundation condition of the construction region, and sends the assessment result to the reporting module.
The regional data acquisition module is used for acquiring regional data of the selected construction region, wherein the regional data comprises a regional foundation bearing normalized value, a regional foundation vibration frequency and a regional water flow velocity;
the establishing of the area model comprises the following steps:
after the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity removal dimension are calculated comprehensively to obtain a regional coefficientThe computational expression is:
；
in the method, in the process of the invention,normalized values for regional foundation load +.>Is the vibration frequency of the regional foundation>For regional water flow rate>、/>The ratio coefficients of the vibration frequency of the regional foundation and the flow velocity of the regional water flow are respectively +.>、/>Are all greater than 0.
After receiving the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity acquired by the regional data acquisition module, the regional evaluation module substitutes the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity into a regional coefficientThe regional coefficient is calculated in the calculation formula>Region coefficient->And evaluation threshold->Performing alignmentRatio of;
if regional coefficientsEvaluate threshold ∈>During the construction, the construction of the supporting concrete structure of the construction area is evaluated;
if regional coefficients< evaluation threshold->And when the construction area is estimated to not support the construction of the concrete structure.
The report module generates a corresponding evaluation report according to the evaluation result generated by the area evaluation module, wherein the evaluation report comprises construction area supporting concrete structure construction and construction area not supporting concrete structure construction, when the evaluation report is that the construction area supporting concrete structure construction, the current construction area is selected for constructing the concrete structure, when the evaluation report is that the construction area not supporting concrete structure construction, other construction areas are required to be selected for continuing the evaluation until the evaluation report is that the construction area supporting concrete structure construction is started.
The logic for obtaining the regional foundation bearing normalization value is as follows: firstly, calculating to obtain a regional foundation bearing deviation value, wherein the calculation expression is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->Carrying a deviation value for the regional foundation->For regional foundation bearing capacity->When the load deviation value of the regional foundation is greater than or equal to the load deviation threshold value, the regional foundation load is normalized for the expected pressure of the concrete structureNumerical value->When the regional foundation bearing deviation value is less than the bearing deviation threshold value, the regional foundation bearing normalization valueThe method comprises the steps of carrying out a first treatment on the surface of the The smaller the area foundation bearing deviation value is, the more the area bearing is not capable of supporting the use of the formed concrete structure, and the calculation of the later parameters is not needed to be considered at the moment, the area coefficient is +>。
Expected pressure of concrete structureThe acquisition logic of (1) is:
1) The area of the concrete structure needs to be determined;
2) Dividing the expected weight by the area in kilograms to obtain the pressure on the unit area;
3) Because pascal is a force per square meter, it is necessary to convert pressure to pascal, 1 kilogram force is equal to 9.81 newtons, and the pressure per unit area is multiplied by 9.81 to convert to pascal.
The regional foundation bearing capacity is monitored in real time in a construction region to know the deformation and bearing behavior of soil, and the regional foundation bearing capacity can be realized by installing measuring points and monitoring equipment, such as inclinometers, sedimentation trays, pressure gauges, strain gauges and the like.
The calculation expression of the vibration frequency of the regional foundation is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->The vibration frequency of the regional foundation in the T time period is shown to be larger, and the stability of the regional foundation is shown to be poorer, so that negative images are easily brought to the construction of the concrete structure.
Regional water flow rates are measured in the field by measuring the flow rate of a particular body of water or region of water, and common in-situ measurement methods include the use of flow rate instruments (such as flowmeters) or flow rate measurement devices (such as flow stations) that can calculate the water flow rate by measuring the flow rate and time of the body of water through a fixed point.
According to the method, after the regional foundation bearing normalization value, the regional foundation vibration frequency and the regional water flow velocity are removed, the regional coefficient is comprehensively calculated and obtained, the regional coefficient is compared with the evaluation threshold value by the regional evaluation module, whether the regional support concrete structure construction is carried out in the regional evaluation module according to the comparison result, the multiple data are comprehensively analyzed, and the analysis is more comprehensive.
Example 3: construction of concrete structures generally includes the following resulting stages:
1) And (3) foundation construction: the method is an initial stage of concrete structure construction, and comprises foundation treatment and foundation construction, wherein the foundation treatment may involve work such as earth excavation, soil reinforcement, filling compaction and the like, and the foundation construction comprises laying of a foundation slab, installation of a reinforcement cage and the like;
2) Upright post and wall construction stage: after the foundation is completed, the construction of the upright post and the wall body of the concrete structure is carried out, and the construction of the upright post and the wall body of the concrete structure involves the work of building a reinforcement cage, installing a template, pouring concrete and the like;
3) The construction stages of the cross beam and the plate are as follows: after the upright posts and the wall body are completed, constructing a beam and a plate of a concrete structure, wherein the construction comprises the steps of installing a reinforcement cage, setting a template, pouring concrete and the like;
4) The construction stage of the prestressed or reinforced concrete member: in some concrete structures that are large or require higher strength, construction of the prestressed or reinforced concrete members may also involve stretching of the prestressed reinforcement, fabrication and installation of the reinforced concrete members, and the like.
After the concrete structure begins to be constructed, the concrete structure monitoring module acquires construction data of different construction stages of the concrete structure in the construction process, and sends the construction data of the different construction stages of the concrete structure to the abnormality prediction module
And the abnormal prediction module substitutes the construction data and the area data into the prediction model to comprehensively analyze at regular intervals in different construction stages, and the prediction result is sent to the early warning module.
The establishment of the prediction model comprises the following steps:
the regional foundation bearing normalization value, the regional foundation vibration frequency, the regional water flow velocity in the regional data are integrated to establish a prediction coefficient after the dimension is removed from the construction data in different construction stagesThe computational expression is:
；
in the method, in the process of the invention,is the vibration frequency of the regional foundation>For regional water flow rate>、/>The ratio coefficients of the vibration frequency of the regional foundation and the flow velocity of the regional water flow are respectively +.>、/>Are all greater than 0;
for the foundation construction stage->For the construction stage of the upright post and the wall body>For the construction stage of beams and slabs, < > for>Is a prestressed or reinforced concrete member construction stage, < >>、/>、/>、/>For the expected time point of each construction stage, it should be noted that, under the influence of environmental factors, the time point of each construction stage may change, and the construction supervisor is required to update the time point information in time;
construction data of foundation construction stage +.>Scale factor for different construction data of foundation construction stage, < ->Summing the ith construction data, +.>Construction data of the construction stage of the upright post and the wall body, < + >>The proportion coefficient of different construction data of the upright post and the wall construction stage is +.>Summing up the construction data for the j-th construction,construction data for beam and slab construction phase, +.>For the proportionality coefficient of different construction data of the beam and the plate construction stage, +.>Summing up the kth construction data, +.>Construction data for the construction phase of prestressed or reinforced concrete components +.>Is the proportionality coefficient of different construction data of the prestressed or reinforced concrete member construction stage>Summing the h construction data;
the construction data of the foundation construction stage comprises foundation settlement and earth surface displacement, and the calculation expression of the construction data of the foundation construction stage is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>Respectively, foundation subsidence and earth surface displacement, +.>、/>Proportional coefficients of foundation settlement and surface displacement, respectively, and +.>、/>Are all greater than 0;
the foundation settlement is obtained by monitoring foundation settlement by using a settlement meter, earth surface displacement is monitored by using a GNSS technology, and a GNSS receiver is arranged on the earth surface or a building and can obtain earth surface displacement change in real time by receiving satellite signals and measuring and positioning.
The construction data of the upright post and the wall construction stage comprise the inclination of the upright post, the horizontal displacement of the wall body and the crack length of the wall body, and the calculation expression of the construction data of the upright post and the wall construction stage is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>、/>Respectively the gradient of the upright post, the horizontal displacement of the wall body and the crack length of the wall body, +.>、/>、/>The ratio coefficients of the column gradient, the wall horizontal displacement and the wall crack length are respectively +.>、/>、/>Are all greater than 0;
the inclination of the upright post is monitored in real time by using an inclination sensor, the inclination sensor is usually installed on the surface of the upright post or nearby, the inclination data of the upright post is obtained by measuring the inclination angle of the sensor, the horizontal displacement of the wall body is monitored in real time by using a laser range finder, and the crack length of the wall body is monitored in real time by using a laser scanner.
The construction data of the beam and the plate construction stage comprise beam deflection, beam load deformation and beam crack length, and the calculation expression of the construction data of the beam and the plate construction stage is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>、/>Respectively beam deflection, beam load deformation and beam crack length +.>、/>、/>Proportional coefficients of beam deflection, beam load deformation and beam crack length are respectively +.>、/>、/>Are all greater than 0;
monitoring the deflection of the beam in real time by using a deflection meter which is usually arranged on or near the surface of the beam, and acquiring deflection data by measuring the deformation or displacement of the beam; the load deformation of the cross beam is monitored in real time by using a load sensor, the load sensor is usually arranged on the cross beam, load deformation data are obtained by measuring the strain or deformation of the sensor, and the crack length of the cross beam is monitored in real time by a laser scanner;
the construction data of the construction stage of the prestressed or reinforced concrete member comprises the component prestress force, the component surface defect degree and the component crack length, and the calculation expression of the construction data of the construction stage of the prestressed or reinforced concrete member is as follows:the method comprises the steps of carrying out a first treatment on the surface of the In (1) the->、/>、/>Respectively the prestress force of the component, the surface defect degree of the component and the crack length of the component, +.>、/>、/>Proportional coefficients of component prestress, component surface defect and component crack length, respectively +.>、/>、/>Are all greater than 0;
the component prestress force is obtained by installing a strain gauge on a prestress component, the size of the prestress force is indirectly deduced by measuring the strain change on the component, the component surface defect degree can be scanned on the component surface in real time through a laser scanner, three-dimensional point cloud data are generated, the defect of the component surface can be detected and measured through analyzing the point cloud data, and the component crack length is obtained through the laser scanner.
After the prediction coefficient is obtained in the foundation construction stage, comparing the prediction coefficient with a first threshold value, if the prediction coefficient is more than or equal to the first threshold value, predicting that the foundation construction stage is abnormal, and if the prediction coefficient is less than the first threshold value, predicting that the foundation construction stage is abnormal;
after the prediction coefficients are obtained in the construction stage of the upright post and the wall body, comparing the prediction coefficients with a second threshold value, if the prediction coefficients are more than or equal to the second threshold value, predicting that no abnormality exists in the construction stage of the upright post and the wall body, and if the prediction coefficients are less than the second threshold value, predicting that the abnormality exists in the construction stage of the upright post and the wall body;
after the prediction coefficient is obtained in the beam and plate construction stage, comparing the prediction coefficient with a third threshold value, if the prediction coefficient is more than or equal to the third threshold value, predicting that no abnormality exists in the beam and plate construction stage, and if the prediction coefficient is less than the third threshold value, predicting that the abnormality exists in the beam and plate construction stage;
after the prediction coefficient is obtained in the construction stage of the prestressed or reinforced concrete member, comparing the prediction coefficient with a fourth threshold value, if the prediction coefficient is more than or equal to the fourth threshold value, predicting the construction stage of the prestressed or reinforced concrete member, and if the prediction coefficient is less than the fourth threshold value, predicting that the construction stage of the prestressed or reinforced concrete member is abnormal.
The early warning module generates a corresponding early warning signal according to the prediction result of the prediction model, specifically:
when the prediction result is received in the foundation construction stage and is abnormal in the foundation construction stage, the early warning module generates a first early warning signal; when the predicted result is received in the construction stage of the upright post and the wall body and is abnormal in the construction stage of the upright post and the wall body, the early warning module generates a second early warning signal; when the predicted result is received in the construction stage of the cross beam and the plate and is abnormal in the construction stage of the cross beam and the plate, the early warning module generates a third early warning signal; when the predicted result is received in the construction stage of the prestressed or reinforced concrete member and is abnormal in the construction stage of the prestressed or reinforced concrete member, the early warning module generates a fourth early warning signal;
the first early warning signal, the second early warning signal, the third early warning signal and the fourth early warning signal are sent to a remote control platform based on the 4G/5G signals;
according to the method and the system, different construction data are acquired at different construction stages, the construction data and the regional data are comprehensively analyzed, so that abnormal prediction can be carried out at different construction stages, when any construction stage is predicted to be abnormal, an early warning signal is timely sent, the remote control platform is convenient to make corresponding management in advance, and the stability and the safety construction of a concrete structure are guaranteed.
In different construction stages, the monitoring system predicts whether the construction is abnormal or not through a prediction model every 24 h.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The utility model provides a block dirty water inlet sluice concrete structure construction monitoring system based on data analysis which characterized in that: the system comprises a regional data acquisition module, a regional evaluation module, a reporting module, a concrete structure monitoring module, an anomaly prediction module and an early warning module:
regional data acquisition module: collecting area data of a selected construction area;
region assessment module: substituting the regional data into a regional model for comprehensive analysis, and evaluating the foundation condition of the construction region;
and a reporting module: generating a corresponding evaluation report according to the evaluation result generated by the regional evaluation module;
and the concrete structure monitoring module is as follows: in the construction process, construction data of different construction stages of the concrete structure are obtained;
an anomaly prediction module: in different construction stages, substituting construction data and regional data into a prediction model for comprehensive analysis at regular intervals;
and the early warning module is used for: generating a corresponding early warning signal according to a prediction result of the prediction model;
the regional data acquisition module is used for acquiring regional data of a selected construction region, wherein the regional data comprises a regional foundation bearing normalized value, a regional foundation vibration frequency and a regional water flow velocity;
the establishing of the region model comprises the following steps:
after the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity are removed from dimension, the regional coefficient qy is obtained by comprehensive calculation s The computational expression is:
wherein cz is y Normalized value, zd, for regional foundation load l Is regional toBase vibration frequency, sl d The flow velocity of the regional water flow, alpha and beta are the vibration frequency of the regional foundation and the proportionality coefficient of the flow velocity of the regional water flow respectively, and the alpha and the beta are both larger than 0;
after receiving the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity acquired by the regional data acquisition module, the regional evaluation module substitutes the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity into a regional coefficient qy s The region coefficient qy is calculated in the calculation formula s Region coefficient qy s And an evaluation threshold qy t Comparing;
if area coefficient qy s Equal to or greater than an evaluation threshold qy t During the construction, the construction of the supporting concrete structure of the construction area is evaluated;
if area coefficient qy s < evaluation threshold qy t When the construction area is estimated to not support the construction of the concrete structure;
the establishment of the prediction model comprises the following steps:
and removing dimensions from the regional foundation bearing normalized value, the regional foundation vibration frequency and the regional water flow velocity in the regional data and the construction data in different construction stages, comprehensively analyzing and establishing a prediction coefficient yc (t), wherein the calculation expression is as follows:
wherein zd l Is the vibration frequency of the regional foundation, sl d The flow velocity of the regional water flow, alpha and beta are the vibration frequency of the regional foundation and the proportionality coefficient of the flow velocity of the regional water flow respectively, and the alpha and the beta are both larger than 0;
t < t1 is a basic construction stage, t1 is less than or equal to t < t2 is a stand column and wall construction stage, t2 is less than or equal to t < t3 is a beam and plate construction stage, t3 is less than or equal to t4 is a prestress or reinforced concrete member construction stage, and t1, t2, t3 and t4 are expected time points of each construction stage;
is the construction data of foundation construction stage, gamma i For the proportionality coefficient of different construction data in the foundation construction stage, jc i Summing the ith construction data, +.>Is the construction data of the construction stage of the upright post and the wall body, delta j For the proportionality coefficient of different construction data of the upright post and the wall body in the construction stage, qz j Summing the j-th construction data, +.>Construction data for beam and slab construction phase, +.>For the proportionality coefficient of different construction data of the beam and the plate construction stage, hb k Summing up the kth construction data, +.>Is the construction data omega of the construction stage of the prestressed or reinforced concrete member h For the ratio coefficient of different construction data of the prestressed or reinforced concrete member construction stage, gj h Summing the h construction data;
after the prediction coefficient is obtained in the foundation construction stage, comparing the prediction coefficient with a first threshold value, if the prediction coefficient is more than or equal to the first threshold value, predicting that the foundation construction stage is abnormal, and if the prediction coefficient is less than the first threshold value, predicting that the foundation construction stage is abnormal;
after the prediction coefficients are obtained in the construction stage of the upright post and the wall body, comparing the prediction coefficients with a second threshold value, if the prediction coefficients are more than or equal to the second threshold value, predicting that no abnormality exists in the construction stage of the upright post and the wall body, and if the prediction coefficients are less than the second threshold value, predicting that the abnormality exists in the construction stage of the upright post and the wall body;
after the prediction coefficient is obtained in the beam and plate construction stage, comparing the prediction coefficient with a third threshold value, if the prediction coefficient is more than or equal to the third threshold value, predicting that no abnormality exists in the beam and plate construction stage, and if the prediction coefficient is less than the third threshold value, predicting that the abnormality exists in the beam and plate construction stage;
after the prediction coefficient is obtained in the construction stage of the prestressed or reinforced concrete member, comparing the prediction coefficient with a fourth threshold value, if the prediction coefficient is more than or equal to the fourth threshold value, predicting the construction stage of the prestressed or reinforced concrete member, and if the prediction coefficient is less than the fourth threshold value, predicting that the construction stage of the prestressed or reinforced concrete member is abnormal.
2. The system for monitoring construction of a sewage blocking and water inlet sluice concrete structure based on data analysis of claim 1, wherein the system comprises the following components: the logic for acquiring the regional foundation bearing normalization value is as follows: firstly, calculating to obtain a regional foundation bearing deviation value, wherein the calculation expression is as follows: pc z ＝cz q -cz t The method comprises the steps of carrying out a first treatment on the surface of the In pc z Bearing an offset value, cz, for regional foundations q Is the bearing capacity of regional foundation, cz t For the expected pressure of the concrete structure, when the bearing deviation value of the regional foundation is larger than or equal to the bearing deviation threshold value, the bearing normalization value cz of the regional foundation y When the regional foundation bearing deviation value is less than the bearing deviation threshold value, the regional foundation bearing normalization value cz y ＝0。
3. The system for monitoring the construction of the sewage blocking and water inlet sluice concrete structure based on data analysis according to claim 2, wherein the system is characterized in that: the construction data of the foundation construction stage comprises foundation settlement and earth surface displacement, and the calculation expression of the construction data of the foundation construction stage is as follows: in the formula jc 1 、jc 2 Respectively, foundation subsidence and earth surface displacement, gamma 1 、γ 2 Proportional coefficients of foundation settlement and earth displacement, respectively, and gamma 1 、γ 2 Are all greater than 0;
the construction data of the upright post and the wall construction stage comprise the inclination of the upright post, the horizontal displacement of the wall body and the crack length of the wall body, and the calculation expression of the construction data of the upright post and the wall construction stage is as follows:wherein qz 1 、qz 2 、qz 3 Respectively the inclination of the upright post, the horizontal displacement of the wall body and the crack length delta of the wall body 1 、δ 2 、δ 3 Proportional coefficients of the inclination of the upright post, the horizontal displacement of the wall body and the crack length of the wall body are respectively shown as delta 1 、δ 2 、δ 3 Are all greater than 0.
4. The system for monitoring construction of a sewage blocking and water inlet sluice concrete structure based on data analysis according to claim 3, wherein the system comprises the following components: the construction data of the beam and plate construction stage comprises beam deflection, beam load deformation and beam crack length, and the calculation expression of the construction data of the beam and plate construction stage is as follows:wherein hb is 1 、hb 2 、hb 3 Respectively beam deflection, beam load deformation and beam crack length +.> Proportional coefficients of beam deflection, beam load deformation and beam crack length are respectively +.> Are all larger than0；
The construction data of the construction stage of the prestressed or reinforced concrete member comprises the construction prestress force of the member, the surface defect degree of the member and the length of a construction crack, and the calculation expression of the construction data of the construction stage of the prestressed or reinforced concrete member is as follows: wherein gj 1 、gj 2 、gj 3 Respectively the prestress force of the component, the surface defect degree of the component and the length omega of the built-up crack 1 、ω 2 、ω 3 Respectively the component prestress force, the component surface defect degree and the proportionality coefficient of the construction crack length, and omega 1 、ω 2 、ω 3 Are all greater than 0.
5. The system for monitoring construction of a sewage blocking and water inlet sluice concrete structure based on data analysis of claim 1, wherein the system comprises the following components: the early warning module generates a first early warning signal when the prediction result is received in the foundation construction stage and is abnormal in the foundation construction stage;
when the predicted result is received in the construction stage of the upright post and the wall body and is abnormal in the construction stage of the upright post and the wall body, the early warning module generates a second early warning signal;
when the predicted result is received in the construction stage of the cross beam and the plate and is abnormal in the construction stage of the cross beam and the plate, the early warning module generates a third early warning signal;
and when the predicted result is received in the construction stage of the prestressed or reinforced concrete member and is abnormal in the construction stage of the prestressed or reinforced concrete member, the early warning module generates a fourth early warning signal.
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