Third-party monitoring intelligent analysis system based on big data

Abstract

The invention discloses a third-party monitoring intelligent analysis system based on big data, which relates to the field of third-party monitoring intelligent analysis based on big data and comprises a data acquisition module, a construction quality analysis module, a construction cost analysis module, a construction comprehensive analysis and early warning module, a quality rectification analysis module, a cost control rectification analysis module and a database. Parameters such as construction process inspection control parameters of each unit project, operation environment state parameters of each unit project, construction performance detection parameters of each unit project, direct cost composition parameters of each unit project, indirect cost composition parameters of each unit project and the like are received, analyzed and judged; the first-level project management effect set and the first-level construction cost rectification response set are obtained, third-party monitoring intelligent analysis can be provided for project quality and safety of all units of the construction project, early warning and alarming are given out for abnormal construction project conditions, timely adjustment is made for specific abnormal conditions, and guarantee is provided for project construction.

Description

Technical Field

[0001] The present invention relates to the field of third-party monitoring intelligent analysis based on big data, and in particular to a third-party monitoring intelligent analysis system based on big data. Background Art

[0002] With the continuous development and growth of the construction industry, the monitoring and control of construction projects has become an increasingly important concern. The monitoring and control of traditional construction projects, which is too dependent on the control level of personnel, can no longer meet the needs of the growing construction industry. At the same time, there is no way to prevent and respond to possible abnormal situations. A third-party monitoring and intelligent analysis system based on big data has emerged.

[0003] The current third-party monitoring intelligent analysis system fails to monitor various parameters in multiple aspects when monitoring and analyzing construction projects, resulting in the inability to analyze quality and cost issues that arise during the project construction process. This causes the company to rework multiple times, quality accidents occur from time to time, and construction costs cannot be controlled, resulting in serious losses for the company's projects.

[0004] The current third-party monitoring intelligent analysis system fails to issue an alarm when project quality and project cost are abnormal when monitoring and analyzing construction projects, and is also unable to respond promptly to abnormal construction situations in different projects.

[0005] In order to solve the above defects, a technical solution is now provided. Summary of the invention

[0006] In order to solve the technical problems raised by the above background technology, the present invention is proposed. An embodiment of the present invention provides a.

[0007] The purpose of the present invention can be achieved through the following technical solutions: a third-party monitoring intelligent analysis system based on big data, including a data acquisition module, a construction quality analysis module, a construction cost analysis module, a construction comprehensive analysis and early warning module, a quality rectification analysis module, a cost control rectification analysis module and a database.

[0008] The construction quality analysis module is used to receive the construction process inspection control parameters of each unit project, the operating environment status parameters of each unit project, and the construction performance detection parameters of each unit project, and to determine and analyze the parameters to obtain the construction process inspection control coefficient DKi, the environmental variation coefficient HYBi, the construction performance detection value XNi and the construction quality assessment coefficient ZPi, and send them to the construction comprehensive analysis and early warning module;

[0009] The construction cost analysis module is used to receive the direct cost composition parameters of each unit project and the indirect cost composition parameters of each unit project, and make judgments and analyses on them to obtain the cost performance index CBi of each unit project, and send it to the construction comprehensive analysis and early warning module;

[0010] The construction comprehensive analysis and early warning module is used to receive the construction quality assessment coefficient ZPi of each unit project and the cost performance index CBi of each unit project, and make judgments and analyses thereof, and generate corresponding signals for early warning and alarm;

[0011] The quality rectification analysis module is used to receive the project management organization system operation parameters and construction abnormality items and construction quality rectification warning signals, count and analyze them, and obtain the first-level project management effectiveness set corresponding to the construction site quality rectification;

[0012] The cost control rectification analysis module is used to receive the supplier's labor team status parameters and construction project abnormalities and construction cost control rectification warning signals, and perform judgment analysis to obtain a first-level cost rectification response set corresponding to the construction site cost rectification.

[0013] Furthermore, the specific operation steps of the construction process inspection control coefficient DKi, environmental variation coefficient HYBi, construction performance detection value XNi and construction quality assessment coefficient ZPi are as follows:

[0014] Obtain the implementation parameters of the three inspections of the construction project in the construction acceptance data, and obtain the implementation rate of the three inspections system of each unit project DSi, where i represents the number of the unit project of the construction project, i=1, 2, 3, ..., I, and I is the maximum value of the unit project number;

[0015] Obtain the number of qualified witness samples sent for inspection in each construction process of each construction unit of the construction project, calculated as DSi, according to the set formula The inspection rate DHi of each unit project is obtained, where a1 is the set proportional coefficient and DS1 is the total number of witnessed sampling inspections for each construction process;

[0016] The corresponding values ​​of the implementation rate of the three-inspection system of each unit project DSi and the inspection rate of each unit project DHi are converted into lengths according to a certain ratio; an ellipse is constructed with the lengths of the implementation rate of the three-inspection system of each unit project DSi and the inspection rate of each construction unit DHi as the major axis and minor axis respectively; the circumference of the ellipse is identified and marked as the inspection control coefficient DKi of the construction process;

[0017] The working environment status parameters of each unit project of the construction project are obtained. The working environment status parameters specifically include temperature, humidity and illuminance. The specific acquisition method is to measure the construction environment temperature, humidity and illuminance respectively through a thermometer, a hygrometer and a illuminance meter. With time as the horizontal coordinate and the construction environment temperature, humidity and illuminance as the vertical coordinate, a two-dimensional coordinate system is established. The construction environment temperature, humidity and illuminance corresponding to each monitoring time are plotted in the coordinate system, and the points are connected with straight lines to form a line graph of the construction environment temperature, humidity and illuminance changes. The construction environment temperature, humidity and illuminance corresponding to each time are respectively recorded as Wir, Sir, Gir, indicating the number of the monitoring time, r = 1, 2, 3, ..., R, R is the monitoring time. The maximum value of the time number; connect the construction environment temperature, humidity and illumination points at the start monitoring time and the construction environment temperature, humidity and illumination points at the end monitoring time, draw a perpendicular line between the construction environment temperature, humidity and illumination points at each monitoring time point and the connecting line, and obtain the vertical distance between the construction environment temperature, humidity and illumination points at each monitoring time point and the connecting line. When the construction environment temperature, humidity and illumination points at each monitoring time point are located above the connecting line, their vertical distances are the first vertical distances, counted as DWir, DSir, DGir; when the construction environment temperature, humidity and illumination points at each monitoring time point are located below the connecting line, their vertical distances are the second vertical distances, counted as EWir, ESir, EGir; according to the set formula The temperature anomaly value WZi, humidity anomaly value VZi, illuminance anomaly value YZi and environment anomaly value Zi are calculated; among them, b1, b2, b3, b4, b5, b6, b7, b8, b9, b10, b11 and b12 are the set proportional coefficients respectively; W1, S1 and G1 are the reference temperature change variance, reference humidity change variance and reference illuminance change variance of the equipment; W2, S2 and G2 are the reference temperature, reference humidity and reference illuminance first vertical distance of the equipment; W3, S3 and G3 are the reference temperature, reference humidity and reference illuminance second vertical distance of the equipment; is the average value of temperature, humidity and light intensity corresponding to different monitoring times;

[0018] The calculated environmental anomaly value Zi is matched with time, and the environmental anomaly coefficient HYBi is obtained by analysis;

[0019] Normalize the environmental anomaly value Zi and environmental variation coefficient HYBi of each unit project according to the set formula Obtain the environmental variation value ZYBi of each unit project, where U1 and U2 are both preset weight factors;

[0020] Obtain the concrete strength of each part of the unit project and the structural flatness of each part of the unit project to obtain the construction performance test value XNi;

[0021] Convert the values ​​corresponding to the construction process inspection control coefficient DKi and the construction performance test value XNi into lengths according to a certain ratio; construct a cylinder with the lengths of the construction process inspection control coefficient DKi and the construction performance test value XNi as the bottom circle diameter and the height of the cylinder respectively; convert each unit engineering environmental variation value ZYBi into length according to a certain ratio, construct a hollow cube inside the cylinder with each unit engineering environmental variation value ZYBi as the side length, and then identify the volume of the cylinder entity and mark it as the construction quality assessment coefficient ZPi.

[0022] Furthermore, the specific operation steps of each unit project cost performance index CBi are as follows:

[0023] Analyze the labor cost coefficient RCi of each unit project, the machinery cost coefficient JCi of each unit project and the material cost coefficient CCi of each unit project to obtain the direct cost coefficient ZYBi of each unit project;

[0024] Obtain the standard fees, enterprise management fees and other indirect costs in each unit project, and obtain the indirect cost coefficient JYBi of each unit project;

[0025] Substitute the calculated direct cost coefficient ZYBi of each unit project and the indirect cost coefficient JYBi of each unit project into the set formula Get the unit engineering cost performance index CBi, where It is the preset weight coefficient of the sum of the direct cost coefficient of each unit project and the indirect cost coefficient of each unit project.

[0026] Furthermore, the specific operation steps for the corresponding signals to carry out early warning and alarm are as follows:

[0027] Convert the value corresponding to the construction quality evaluation coefficient ZPi of each unit project into a length according to a certain ratio; construct a square with the length of the construction quality evaluation coefficient ZPi as the side length of the square; convert the cost performance index CBi of each unit project into a length according to a certain ratio, construct a hollow circle inside the square with the cost performance index CBi of each unit project as the diameter, and then identify the area where the square and the circle do not overlap, and mark it as the comprehensive evaluation coefficient of the construction quality and price of each unit project LZBi;

[0028] Analyze the comprehensive evaluation coefficient LZBi of each unit engineering construction quality and price, and obtain the comprehensive evaluation coefficient XMZ of the project engineering construction quality and price;

[0029] Set the reference threshold WW1 of the comprehensive evaluation coefficient of project engineering construction quality and price, and compare and analyze the comprehensive evaluation coefficient of project engineering construction quality and price with the set reference threshold WW1 of the comprehensive evaluation coefficient of project engineering construction quality and price;

[0030] When the comprehensive evaluation coefficient of the project construction quality and price is greater than the set reference threshold WW1, the corresponding project construction will be evaluated as an abnormal construction state, and corresponding early warning and alarm will be executed, and a signal of "the project is abnormal and needs to be rectified" will be issued; for abnormal construction projects, the set formula will be used Calculation is performed to obtain the quality and price warning value YJ, where h1 and h2 are the set weight coefficients respectively; when the quality and price warning value is greater than or equal to the set warning threshold, it means that the project abnormality is due to construction quality problems, and a construction quality rectification warning signal is generated; when the quality and price warning value is less than the set warning threshold, it means that the project abnormality is due to construction cost control problems, and a construction cost control rectification warning signal is generated.

[0031] Furthermore, the specific operation steps of the construction site quality rectification corresponding to the first-level project management effectiveness set are as follows:

[0032] The personnel composition parameters in the project management organization system are obtained, and the effectiveness value XXZ of the project management organization system is obtained through analysis; the effectiveness value XXZ of the project management organization system is compared and analyzed with the set effectiveness value reference threshold TT1. When the effectiveness value of the project management organization system is greater than the reference threshold TT1, the project management organization system corresponds to the first-level project management effectiveness set, which is matched with the construction quality rectification early warning signal in the abnormal construction project. If the construction site generates a construction project abnormality and a construction quality rectification early warning signal, the quality rectification of the construction site corresponds to the first-level project management effectiveness set.

[0033] Furthermore, the specific operation steps of the construction site cost rectification corresponding to the first-level cost rectification response set are as follows:

[0034] Obtain the unit prices of various types of construction materials from material suppliers over a period of time, and analyze and obtain the abnormal values ​​of material suppliers;

[0035] Obtain the material deviation value of the material supplier in real time, set the material deviation value reference threshold xv1 of the material supplier; compare and analyze the material deviation value of the material supplier with the preset material deviation value given value xv1, when the material deviation value is less than the preset material deviation value xv1, the material item of the material supplier is assigned g3 points, when the material deviation value is equal to the preset material deviation value xv1, the material item of the material supplier is assigned g2 points, when the material deviation value is greater than the preset material deviation value xv1, the material item of the material supplier is assigned g1 points;

[0036] Obtain the average monthly salary GZ of each type of work in each labor team, the average number of rework times LC of the labor team per month, and analyze to obtain the labor team operation evaluation coefficient LG;

[0037] Obtain the labor team's work evaluation coefficient in real time, and set the labor team's work evaluation coefficient reference threshold xv2; compare and analyze the labor team's work evaluation coefficient with the preset evaluation coefficient given value xv2; when the evaluation coefficient is less than the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g1 points; when the evaluation coefficient is equal to the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g2 points; when the evaluation coefficient is greater than the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g3 points;

[0038] The sum of the material difference value and the labor team operation evaluation coefficient of the material supplier is calculated, and the total value of the cost rectification response is obtained. If the total rectification response value is 2g3 or g2+g3, a first-level cost rectification response set is generated; if the total rectification response value is 2g2 or g1+g2 or g1+g3, a second-level cost rectification response set is generated; if the total rectification response value is 2g1, a third-level cost rectification response set is generated;

[0039] The cost rectification response set is matched with the cost control rectification warning signal of abnormal construction projects. If the construction site generates an abnormal construction project and a construction cost control rectification warning signal, the corresponding first-level cost rectification response set will be generated for the cost rectification of the construction site.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention obtains the comprehensive evaluation coefficient of project construction quality and price by analyzing and judging the inspection control parameters of the construction process of each unit project, the working environment status parameters of each unit project, the construction performance detection parameters of each unit project, the direct cost composition parameters of each unit project, and the indirect cost composition parameters of each unit project, and analyzes it to obtain a collection of abnormal construction states and issue corresponding early warnings and alarms. This can enable the project to identify abnormal construction quality and construction cost control under various circumstances during the construction process, providing a strong guarantee for cost control and construction quality control.

[0042] 2. The present invention obtains a first-level project management effectiveness set corresponding to the construction site quality rectification and a first-level cost rectification response set corresponding to the construction site cost rectification through analysis and determination of the project management organization system operation parameters and the supplier labor team status parameters. It can make timely rectifications and adjustments when abnormal situations occur in the project, and can better ensure the project cost control and construction quality control. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. The following drawings are not intentionally scaled to the actual size, and the focus is on illustrating the main purpose of the present invention.

[0044] Figure 1 It is a system block diagram of the present invention.

[0045] Figure 2 A line graph showing the changes in construction temperature, humidity and light intensity over time DETAILED DESCRIPTION

[0046] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work also fall within the scope of protection of the present invention.

[0047] like Figure 1 As shown, the third-party monitoring intelligent analysis system based on big data includes a data acquisition module, a construction quality analysis module, a construction cost analysis module, a construction comprehensive analysis and early warning module, a quality rectification analysis module, a cost control rectification analysis module and a database.

[0048] The data acquisition module is used to receive the inspection and control parameters of the construction process of each unit project, the working environment status parameters of each unit project, the construction performance detection parameters of each unit project, the direct cost composition parameters of each unit project, the indirect cost composition parameters of each unit project, the project management organization system operation parameters and the supplier's labor team status parameters, and send them to the construction quality analysis module, construction cost analysis module, quality rectification analysis module and cost control rectification analysis module. The inspection and control parameters of the construction process of each unit project include the implementation parameters of the three inspections of the construction project and the number of qualified witnessed sampling and inspection of each construction process; the working environment status parameters of each unit project include the environmental temperature, humidity and light intensity of each unit project; the construction performance detection parameters of each unit project include the concrete strength of each part of the unit project and the structural flatness of each part of the unit project; the direct cost composition parameters of each unit project include the corresponding monthly wages of various types of operating personnel, the construction parameters of owned machinery and the construction costs of rented machinery in each unit process; the indirect cost composition parameters of each unit project include the standard fees, enterprise management fees and other indirect costs of each unit project; the project management organization system operation parameters include the personnel composition parameters of the project management organization system; the supplier labor team status parameters include the unit price of various types of construction materials of the material supplier over a period of time, the average monthly salary of each type of work in each labor team and the average monthly rework times of the labor team.

[0049] The construction quality analysis module is used to receive the inspection and control parameters of the construction process of each unit project, the operating environment status parameters of each unit project, and the construction performance detection parameters of each unit project, and to determine and analyze the parameters to obtain the construction process inspection and control coefficient DKi, the environmental variation coefficient HYBi, the construction performance detection value XNi and the construction quality assessment coefficient ZPi, and send them to the construction comprehensive analysis and early warning module. The specific analysis is as follows:

[0050] The implementation parameters of the three inspections of the construction project in the construction acceptance data are obtained. The three inspection construction parameters of the construction project include the number of each construction process in each construction unit project that is implemented according to the specification requirements and the number that is not implemented according to the requirements. The number of each unit that implements the three inspection system as required is divided by the number of each unit's construction processes to obtain the implementation rate DSi of the three inspection system of each unit project, where i represents the number of the unit project of the construction project, i=1, 2, 3, ..., I, and I is the maximum value of the unit project number. It should be noted that the three inspection system of construction includes self-inspection, mutual inspection and special inspection. Self-inspection refers to the construction personnel conducting a quality inspection of the process they constructed after completing a construction process, and ensuring that the requirements are met; mutual inspection refers to the construction personnel inspecting each other's construction processes and ensuring that the quality requirements are met; special inspection refers to the professional quality inspection personnel inspecting the constructed processes and ensuring that the quality requirements are met.

[0051] Obtain the number of qualified witness samples sent for inspection in each construction process of each construction unit of the construction project, calculated as DSi, according to the set formula The inspection rate DHi of each unit project is obtained, a1 is the set proportional coefficient, its size is a custom setting, and the value is 2.1, and DS1 is the total number of witnessed sampling and inspection of each construction process.

[0052] Convert the corresponding values ​​of the implementation rate DSi of the three-inspection system for each unit project and the inspection rate DHi of each unit project into length according to a certain ratio; construct an ellipse with the lengths of the implementation rate DSi of the three-inspection system for each unit project and the inspection rate DHi of each construction unit as the major axis and minor axis respectively; identify the circumference of the ellipse and mark it as the construction process inspection control coefficient DKi.

[0053] Obtain the working environment status parameters of each unit project of the construction project. The working environment status parameters specifically include temperature, humidity and illuminance. The specific acquisition method is to measure the construction environment temperature, humidity and illuminance respectively through a thermometer, a hygrometer and a illuminance meter. For details, see Figure 2, with time as the horizontal coordinate and construction environment temperature, humidity and illuminance as the vertical coordinate, a two-dimensional coordinate system is established, and the construction environment temperature, humidity and illuminance corresponding to each monitoring time are plotted in the coordinate system, and the points are connected with straight lines to form a line graph of the construction environment temperature, humidity and illuminance changes. The construction environment temperature, humidity and illuminance corresponding to each time are recorded as Wir, Sir, Gir, respectively, indicating the number of the monitoring time, r = 1, 2, 3, ..., R, R is the maximum value of the monitoring time number; connect the construction environment temperature, humidity and illuminance point at the start of the monitoring time and the construction environment temperature, humidity and illuminance point at the end of the monitoring time. Ambient temperature, humidity and illuminance points, draw perpendicular lines between the construction environment temperature, humidity and illuminance points at each monitoring time point and the connecting line, and obtain the vertical distance between the construction environment temperature, humidity and illuminance points at each monitoring time point and the connecting line. When the construction environment temperature, humidity and illuminance points at each monitoring time point are located above the connecting line, their vertical distances are the first vertical distances, calculated as DWir, DSir, and DGir; when the construction environment temperature, humidity and illuminance points at each monitoring time point are located below the connecting line, their vertical distances are the second vertical distances, calculated as EWir, ESir, and EGir; according to the set formula The temperature anomaly value WZi, humidity anomaly value VZi, illuminance anomaly value YZi and environment anomaly value Zi are calculated; b1, b2, b3, b4, b5, b6, b7, b8, b9, b10, b11 and b12 are the set proportional coefficients respectively, and their sizes are custom settings, and the values ​​are 3.11, 3.21, 1.11, 3.22, 2.41, 4.42, 2.11, 3.72, 2.91, 1.12, 2.91 and 1.12 respectively; W1, S1 and G1 are the reference temperature change variance, reference humidity change variance and reference illuminance change variance of the device; W2, S2 and G2 are the reference temperature, reference humidity and reference illuminance first vertical distance of the device; W3, S3 and G3 are the reference temperature, reference humidity and reference illuminance second vertical distance of the device; is the average value of temperature, humidity and light intensity corresponding to different monitoring times;

[0054] The calculated environmental anomaly value Zi is matched with time to obtain a graph of the environmental anomaly value Zi changing with time. The environmental anomaly value Zi is compared and analyzed with the set reference environmental anomaly value. When the environmental anomaly value Zi is greater than the maximum value of the reference environmental anomaly value, the environmental anomaly value Zi belongs to the first-level environmental anomaly. When the environmental anomaly value Zi is within the reference environmental anomaly value interval, the environmental anomaly value Zi belongs to the second-level environmental anomaly. When the environmental anomaly value Zi is less than the minimum value of the reference environmental anomaly value, the environmental anomaly value Zi belongs to the third-level environmental anomaly. The first-level environmental anomaly duration, the second-level environmental anomaly duration, and the third-level environmental anomaly duration are calculated respectively and counted as YHi, EHi, and SHi. The proportions of the first-level environmental anomaly duration and the second-level environmental anomaly duration in the entire market are calculated respectively as BYHi and BEHi. The obtained proportions BYHi and BEHi are substituted into the formula The environmental variation coefficient HYBi is calculated, where c1 and c2 are preset weight factors, σ is a preset correction factor, and its size is a custom setting with values ​​of 1.22, 1.14, and 1.21, respectively.

[0055] Normalize the environmental anomaly value Zi and environmental variation coefficient HYBi of each unit project according to the set formula The environmental variation value ZYBi of each unit project is obtained, where U1 and U2 are preset weight factors, and their sizes are custom settings, with values ​​of 2.41, 3.11, and 3.52 respectively.

[0056] Obtain the concrete strength of each part of the unit project and compare it with the required level of the drawing to obtain the qualified proportion of concrete strength of the unit project, calculated as QHi. Obtain the structural flatness of each part of the unit project and compare it with the set flatness to obtain the proportion of flatness that meets the standard of the unit project, calculated as PHi. Substitute the proportion of concrete strength that meets the standard of the unit project QHi and the proportion of flatness that meets the standard of the unit project PHi into the set formula The construction performance test value XNi is obtained, where d1 and d2 are the set weight factor coefficients, and their sizes are custom settings, with values ​​of 3.21 and 2.42 respectively. Q1 and P1 represent the set reference proportions of qualified concrete strength of unit projects and the reference proportions of qualified flatness of unit projects respectively. ΔQH and ΔPH represent the set reference proportion differences of qualified concrete strength of unit projects and the reference proportion differences of qualified flatness of unit projects respectively.

[0057] It should be noted that the strength of the concrete is measured by drilling concrete core samples at various construction sites and conducting compression tests in the laboratory; the flatness of the structure is measured by a total station to obtain the three-dimensional coordinates of the measuring points and calculate the elevation differences of each measuring point, thereby obtaining the flatness of the structure.

[0058] Convert the values ​​corresponding to the construction process inspection control coefficient DKi and the construction performance test value XNi into lengths according to a certain ratio; construct a cylinder with the lengths of the construction process inspection control coefficient DKi and the construction performance test value XNi as the bottom circle diameter and the height of the cylinder respectively; convert each unit engineering environmental variation value ZYBi into length according to a certain ratio, construct a hollow cube inside the cylinder with each unit engineering environmental variation value ZYBi as the side length, and then identify the volume of the cylinder entity and mark it as the construction quality assessment coefficient ZPi;

[0059] The construction cost analysis module is used to receive the direct cost composition parameters of each unit project and the indirect cost composition parameters of each unit project, and make judgments and analyses on them to obtain the cost performance index CBi of each unit project, and send it to the construction comprehensive analysis and early warning module. The specific analysis is as follows:

[0060] Get the types of workers in each unit of the construction project, specifically scaffolders, steel workers, concrete workers, carpenters, electricians, welders and other personnel, and get the corresponding monthly wages of each type of workers, where wages include basic wages, performance bonuses, allowances and subsidies, calculated as ZYni, n represents the number of worker classifications, n = 1, 2, 3, ..., N, N is the maximum value of the monitoring time number, get the number of workers m and the average number of working months p for each type of worker, according to the set formula The labor cost coefficient RCi of each unit project is obtained, where f1 is the set weight factor coefficient, and its size is a custom setting with values ​​of 3.22. Z1 represents the labor cost budget, which is calculated according to the completed project volume through the priced bill of quantities of each unit project.

[0061] Obtain the construction parameters of the self-owned machinery in each unit project of the construction project. The self-owned machinery construction parameters include the original value of the machinery JYix, the net residual value of the machinery JJix, the construction period of each unit project GQix, the repair and maintenance fee WBix, the fuel power fee RDix and the driver labor fee SJix, where x represents the number of the self-owned machinery, x = 1, 2, 3, ..., X, X is the maximum value of the monitoring time number, and obtain the construction cost of the leased machinery ZLi in each unit process of the construction project. According to the formula The machinery cost coefficient JCi of each unit project is obtained, where e1 and e2 are the set weight factor coefficients, and their sizes are custom settings, with values ​​of 1.22 and 1.21 respectively. J1 represents the machinery budget cost, which is calculated according to the completed engineering quantity through the priced bill of quantities of each unit project.

[0062] Obtain the total material cost of each unit project of the construction project, which should include the original material, transportation fees, transportation loss fees and procurement and storage fees, and obtain the total material budget cost of each unit project. Divide the two to obtain the material cost coefficient CCi of each unit. The material cost in the budget cost is calculated according to the completed project quantity through the priced bill of quantities of each unit project;

[0063] Substitute the labor cost coefficient RCi, the machinery cost coefficient JCi and the material cost coefficient CCi into the formula: The direct cost coefficient ZYBi of each unit project is obtained, where ε is the preset weight coefficient of the unit project labor cost coefficient, the unit project machinery cost coefficient and the unit project material cost coefficient. Its size is a custom setting and the value is 2.2.

[0064] Obtain the fees, enterprise management fees and other indirect costs in each unit project, and sum them up to get the indirect costs of each unit project, and divide them by the indirect costs in the budget costs to get the indirect cost coefficient JYBi of each unit project. It should be noted that the fees include engineering sewage fees, social security fees and housing provident funds, and the enterprise management fees include management staff salaries, office expenses, travel and public transportation fees, fixed asset usage fees, tool and equipment usage fees, employee education funds, financial custody fees, finance and others. Other indirect costs include temporary facility fees, engineering positioning re-measurement fees, winter rainy season construction additional fees and night construction additional fees. The indirect costs in the budget costs are calculated according to the completed engineering quantities through the priced bill of quantities of each unit project to obtain the indirect cost budget costs.

[0065] Substitute the calculated direct cost coefficient ZYBi of each unit project and the indirect cost coefficient JYBi of each unit project into the set formula Get the unit engineering cost performance index CBi, where It is the preset weight coefficient of the sum of the direct cost coefficient of each unit project and the indirect cost coefficient of each unit project. Its size is a custom setting and the value is 3.22.

[0066] The construction comprehensive analysis and early warning module is used to receive the construction quality assessment coefficient ZPi of each unit project and the cost performance index CBi of each unit project, make judgments and analyses on them, and generate corresponding signals for early warning and alarm. The specific analysis is as follows:

[0067] Convert the value corresponding to the construction quality evaluation coefficient ZPi of each unit project into a length according to a certain ratio; construct a square with the length of the construction quality evaluation coefficient ZPi as the side length of the square; convert the cost performance index CBi of each unit project into a length according to a certain ratio, construct a hollow circle inside the square with the cost performance index CBi of each unit project as the diameter, and then identify the area where the square and the circle do not overlap, and mark it as the comprehensive evaluation coefficient of the construction quality and price of each unit project LZBi;

[0068] Set the reference intervals Q1, Q2, and Q3 for the comprehensive evaluation coefficient of unit engineering quality and price, and substitute the comprehensive evaluation coefficient of unit engineering quality and price of the project into the preset gradient reference intervals Q1, Q2, and Q3 for comparative analysis. Among them, the interval values ​​of Q1, Q2, and Q3 decrease in a gradient. It should be noted that the comprehensive evaluation coefficient of unit engineering quality and price in the intervals Q1 and Q2 is an interval that meets the requirements of the specification;

[0069] When the evaluation coefficient of the project engineering is in the gradient reference interval Q1, the corresponding unit engineering is classified into the first-level quality and price data set A1; when the evaluation coefficient of the project engineering is in the gradient reference interval Q2, the corresponding unit engineering is classified into the second-level quality and price data set A2; when the evaluation coefficient of the project engineering is in the gradient reference interval Q3, the corresponding unit engineering is classified into the third-level quality and price data set A3;

[0070] Identify the total number of unit projects in the first-level quality and price data set A1, the second-level quality and price data set A2, and the third-level quality and price data set A3 in the project engineering, record them as YS, ES, and SS respectively, and substitute them into the set formula The comprehensive evaluation coefficient XMZ of the project construction quality and price is obtained, where α1, α2, and α3 are respectively the set proportional coefficients, and their sizes are custom settings, with values ​​of 1.22, 4.12, and 2.11 respectively;

[0071] Set the reference threshold WW1 of the comprehensive evaluation coefficient of project engineering construction quality and price, and compare and analyze the comprehensive evaluation coefficient of project engineering construction quality and price with the set reference threshold WW1 of the comprehensive evaluation coefficient of project engineering construction quality and price;

[0072] When the comprehensive evaluation coefficient of the project construction quality and price is less than the set reference threshold WW1, the corresponding project construction will be evaluated as an abnormal construction state, and corresponding early warning and alarm will be executed, and a signal of "the project is abnormal and the project needs to be rectified" will be issued; when the comprehensive evaluation coefficient of the project construction quality and price is equal to or greater than the set reference threshold WW1, the corresponding project construction will be evaluated as a normal project and no corresponding operation will be performed; for abnormal construction projects, the set formula will be used Calculation is performed to obtain the quality and price warning value YJ, where h1 and h2 are respectively the set weight coefficients; when the quality and price warning value is greater than or equal to the set warning threshold, it indicates that the project abnormality is due to construction quality problems, and a construction quality rectification warning signal is generated; when the quality and price warning value is less than the set warning threshold, it indicates that the project abnormality is due to construction cost control problems, and a construction cost control rectification warning signal is generated;

[0073] The quality rectification analysis module is used to receive the project management organization system operation parameters and construction abnormality items and construction quality rectification warning signals, and to count and analyze them to obtain the first-level project management effectiveness set corresponding to the construction site quality rectification. The specific analysis is as follows:

[0074] Obtain the personnel composition parameters in the project management organization system, which include the total number of project managers XGZ, the number of certificates obtained by the organization system XZS, and the total historical management cost per capita of the organization system XZP; normalize the total number of project managers XGZ, the number of certificates obtained by the organization system XZS, and the average cost per person of the organization system management project XZP and substitute them into the set formula The effectiveness value XXZ of the project management organization system is obtained, where o1, o2, and o3 are the set weight factor coefficients, and their sizes are custom settings, with values ​​of 3.12, 2.12, and 2.81 respectively. It should be noted that the certificates obtained by the organization system are construction engineer certificates, cost engineers, engineer titles, and award certificates at or above the municipal level organized by the government.

[0075] The effectiveness value XXZ of the project management organization system is compared and analyzed with the set effectiveness value reference threshold TT1. When the effectiveness value of the project management organization system is greater than the reference threshold TT1, the project management organization system corresponds to the first-level project management effectiveness set, which is matched with the construction quality rectification early warning signal in the abnormal construction project. If the construction site generates a construction project abnormality and a construction quality rectification early warning signal, the quality rectification of the construction site corresponds to the first-level project management effectiveness set.

[0076] The cost control rectification analysis module is used to receive the supplier's labor team status parameters and construction project abnormalities and construction cost control rectification warning signals, and perform judgment analysis to obtain the first-level cost rectification response set corresponding to the construction site cost rectification. The specific analysis is as follows:

[0077] Get the unit price of various construction materials from the material supplier within a period of time, divide the period into several sub-time periods, and sort the unit prices of construction materials in chronological order, calculate the unit prices of two adjacent sub-materials, count the unit prices of the sub-materials in the previous order that are lower than the unit prices of the sub-materials in the latter order and mark them as sub-low values, count the highest and lowest unit prices of each sub-material, get the sub-extreme difference value, and perform weighted calculation on the sub-low value and sub-extreme difference value. Multiply them by the corresponding weight factor coefficients respectively, and then sum them up to get the material outlier value of the material supplier;

[0078] Obtain the material deviation value of the material supplier in real time, set the material deviation value reference threshold xv1 of the material supplier; compare and analyze the material deviation value of the material supplier with the preset material deviation value given value xv1, when the material deviation value is less than the preset material deviation value xv1, the material item of the material supplier is assigned g3 points, when the material deviation value is equal to the preset material deviation value xv1, the material item of the material supplier is assigned g2 points, when the material deviation value is greater than the preset material deviation value xv1, the material item of the material supplier is assigned g1 points;

[0079] Get the average monthly salary GZ of each type of work in each labor team, the average number of rework times LC of the labor team per month, according to the set formula

[0080]

[0081] The labor team operation evaluation coefficient LG is obtained, k1, k2, k3 and k4 are respectively represented as the set influencing factors, K1 and K2 are respectively the set reference average monthly salary values ​​of each type of work and the average monthly rework times of the labor team, and p is represented as a natural constant, which can be 2.12.

[0082] Obtain the labor team's work evaluation coefficient in real time, and set the labor team's work evaluation coefficient reference threshold xv2; compare and analyze the labor team's work evaluation coefficient with the preset evaluation coefficient given value xv2; when the evaluation coefficient is less than the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g1 points; when the evaluation coefficient is equal to the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g2 points; when the evaluation coefficient is greater than the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g3 points;

[0083] The sum of the material difference values ​​and the labor team operation evaluation coefficients of the material suppliers is statistically calculated, and the total value of the cost rectification response is obtained. If the total rectification response value is 2g3 or g2+g3, a first-level cost rectification response set is generated. If the total rectification response value is 2g2 or g1+g2 or g1+g3, a second-level cost rectification response set is generated; if the total rectification response value is 2g1, a third-level cost rectification response set is generated.

[0084] The cost rectification response set is matched with the cost control rectification warning signal of abnormal construction projects. If the construction site generates an abnormal construction project and a construction cost control rectification warning signal, the corresponding first-level cost rectification response set will be generated for the cost rectification of the construction site.

[0085] The database is used to store the reference difference in the proportion of qualified concrete strength of unit projects, the reference difference in the proportion of qualified flatness of unit projects, and the reference range of the comprehensive evaluation coefficient of quality and price of unit projects.

[0086] The above is an explanation of the present invention and should not be considered as a limitation thereof. Although several exemplary embodiments of the present invention have been described, it will be readily appreciated by those skilled in the art that many modifications may be made to the exemplary embodiments without departing from the novel teachings and advantages of the present invention. Therefore, all such modifications are intended to be included within the scope of the present invention as defined in the claims. It should be understood that the above is an explanation of the present invention and should not be considered as being limited to the specific embodiments disclosed, and modifications to the disclosed embodiments and other embodiments are intended to be included within the scope of the appended claims. The present invention is defined by the claims and their equivalents.

Claims

1. A third-party monitoring intelligent analysis system based on big data, characterized by: Including data acquisition module and database, also includes: The construction quality analysis module is used to receive the construction process inspection control parameters of each unit project, the operating environment status parameters of each unit project and the construction performance detection parameters of each unit project, and to perform judgment and analysis on them to obtain the construction process inspection control coefficient DKi, the environmental variation coefficient HYBi, the construction performance detection value XNi and the construction quality assessment coefficient ZPi, and then send them to the construction comprehensive analysis and early warning module; The construction cost analysis module is used to receive the direct cost composition parameters of each unit project and the indirect cost composition parameters of each unit project, and make judgments and analyses on them to obtain the cost performance index CBi of each unit project, and then send it to the construction comprehensive analysis and early warning module; The construction comprehensive analysis and early warning module is used to receive the construction quality evaluation coefficient ZPi of each unit project and the cost performance index CBi of each unit project, make judgments and analyses on them, generate corresponding signals and issue early warnings and alarms; The quality rectification analysis module is used to receive the project management organization system operation parameters and construction abnormality items and construction quality rectification warning signals, and to conduct statistics and analysis on them to obtain the first-level project management effectiveness set corresponding to the construction site quality rectification; The cost control rectification analysis module is used to receive the supplier's labor team status parameters and construction project abnormalities and construction cost control rectification warning signals, and perform judgment analysis to obtain the first-level cost rectification response set corresponding to the construction site cost rectification.

2. The third-party monitoring intelligent analysis system based on big data according to claim 1 is characterized in that: The construction process inspection control coefficient DKi, environmental variation coefficient HYBi, construction performance detection value XNi and construction quality assessment coefficient ZPi are specifically analyzed as follows: Obtain the implementation parameters of the three inspections of the construction project in the construction acceptance data, and obtain the implementation rate of the three inspections system of each unit project DSi, where i represents the number of the unit project of the construction project; Obtain the number of qualified witness samples sent for inspection in each construction process of each construction unit of the construction project, calculated as DSi, according to the set formula The inspection rate DHi of each unit project is obtained, where a1 is the set proportional coefficient and DS1 is the total number of witnessed samples sent for inspection in each construction process; The corresponding values ​​of the implementation rate of the three-inspection system of each unit project DSi and the inspection rate of each unit project DHi are converted into lengths according to a certain ratio; an ellipse is constructed with the lengths of the implementation rate of the three-inspection system of each unit project DSi and the inspection rate of each construction unit DHi as the major axis and minor axis respectively; the circumference of the ellipse is identified and marked as the inspection control coefficient DKi of the construction process; The working environment status parameters of each unit project of the construction project are obtained. The working environment status parameters specifically include temperature, humidity and illumination. With time as the horizontal coordinate and the construction environment temperature, humidity and illumination as the vertical coordinates, a two-dimensional coordinate system is established. The construction environment temperature, humidity and illumination corresponding to each monitoring time are plotted in the coordinate system, and the points are connected with straight lines to form a line graph of the construction environment temperature, humidity and illumination changes. The construction environment temperature, humidity and illumination corresponding to each time are respectively recorded as Wir, Sir, Gir, r represents the number of the monitoring time, r = 1, 2, 3, ..., R, R is the maximum value of the monitoring time number; connect the construction environment temperature, humidity and illumination point at the start of the monitoring time and the end of the monitoring time The construction environment temperature, humidity and illumination points, draw perpendicular lines between the construction environment temperature, humidity and illumination points at each monitoring time point and the connecting line, and obtain the vertical distance between the construction environment temperature, humidity and illumination points at each monitoring time point and the connecting line. When the construction environment temperature, humidity and illumination points at each monitoring time point are located above the connecting line, their vertical distances are the first vertical distances, calculated as DWir, DSir, and DGir; when the construction environment temperature, humidity and illumination points at each monitoring time point are located below the connecting line, their vertical distances are the second vertical distances, calculated as EWir, ESir, and EGir; calculate the temperature anomaly value WZi, humidity anomaly value VZi, illumination anomaly value YZi, and environment anomaly value Zi according to the set formula; The calculated environmental anomaly value Zi is matched with time, and the environmental anomaly coefficient HYBi is obtained by analysis; Normalize the environmental abnormal value Zi and environmental variation coefficient HYBi of each unit project to obtain the environmental variation value ZYBi of each unit project; Obtain the concrete strength of each part of the unit project and the structural flatness of each part of the unit project to obtain the construction performance test value XNi; Convert the values ​​corresponding to the construction process inspection control coefficient DKi and the construction performance test value XNi into lengths according to a certain ratio; construct a cylinder with the lengths of the construction process inspection control coefficient DKi and the construction performance test value XNi as the bottom circle diameter and the height of the cylinder respectively; convert each unit engineering environmental variation value ZYBi into length according to a certain ratio, construct a hollow cube inside the cylinder with each unit engineering environmental variation value ZYBi as the side length, and then identify the volume of the cylinder entity and mark it as the construction quality assessment coefficient ZPi.

3. The third-party monitoring intelligent analysis system based on big data according to claim 1 is characterized in that: The specific analysis method of each unit engineering cost performance index CBi is as follows: Analyze the labor cost coefficient RCi of each unit project, the machinery cost coefficient JCi of each unit project and the material cost coefficient CCi of each unit project to obtain the direct cost coefficient ZYBi of each unit project; Obtain the standard fees, enterprise management fees and other indirect costs in each unit project, and obtain the indirect cost coefficient JYBi of each unit project; Substitute the calculated direct cost coefficient ZYBi of each unit project and the indirect cost coefficient JYBi of each unit project into the set formula Get the unit engineering cost performance index CBi, where The preset weight coefficient is the sum of the direct cost coefficient of each unit project and the indirect cost coefficient of each unit project.

4. The third-party monitoring intelligent analysis system based on big data according to claim 1 is characterized in that: The specific analysis method for the corresponding signal to perform early warning and alarm is: Convert the value corresponding to the construction quality evaluation coefficient ZPi of each unit project into a length according to a certain ratio; construct a square with the length of the construction quality evaluation coefficient ZPi as the side length of the square; convert the cost performance index CBi of each unit project into a length according to a certain ratio, construct a hollow circle inside the square with the cost performance index CBi of each unit project as the diameter, and then identify the area where the square and the circle do not overlap, and mark it as the comprehensive evaluation coefficient of the construction quality and price of each unit project LZBi; Analyze the comprehensive evaluation coefficient LZBi of each unit engineering construction quality and price, and obtain the comprehensive evaluation coefficient XMZ of the project engineering construction quality and price; Set the reference threshold WW1 of the comprehensive evaluation coefficient of project engineering construction quality and price, and compare and analyze the comprehensive evaluation coefficient of project engineering construction quality and price with the set reference threshold WW1 of the comprehensive evaluation coefficient of project engineering construction quality and price; When the comprehensive evaluation coefficient of the project construction quality and price is less than the set reference threshold WW1, the corresponding project construction will be evaluated as an abnormal construction state, and corresponding early warning and alarm will be executed, and a signal of "the project is abnormal and needs to be rectified" will be issued; for abnormal construction projects, the set formula will be used Calculation is performed to obtain the quality and price warning value YJ, where h1 and h2 are the set weight coefficients respectively; when the quality and price warning value is greater than or equal to the set warning threshold, a construction quality rectification warning signal is generated; when the quality and price warning value is less than the set warning threshold, a construction cost control rectification warning signal is generated.

5. The third-party monitoring intelligent analysis system based on big data according to claim 1 is characterized in that: The specific analysis method of the construction site quality rectification corresponding to the first-level project management effectiveness set is as follows: The personnel composition parameters in the project management organization system are obtained, and the effectiveness value XXZ of the project management organization system is obtained through analysis; the effectiveness value XXZ of the project management organization system is compared and analyzed with the set effectiveness value reference threshold TT1. When the effectiveness value of the project management organization system is greater than the reference threshold TT1, the project management organization system corresponds to the first-level project management effectiveness set, which is matched with the construction quality rectification early warning signal in the abnormal construction project. If the construction site generates a construction project abnormality and a construction quality rectification early warning signal, the quality rectification of the construction site corresponds to the first-level project management effectiveness set.

6. The third-party monitoring intelligent analysis system based on big data according to claim 1 is characterized in that: The specific analysis method of the construction site cost rectification corresponding to the first-level cost rectification response set is as follows: Obtain the unit prices of various types of construction materials from material suppliers over a period of time, and analyze and obtain the abnormal values ​​of material suppliers; Obtain the material deviation value of the material supplier in real time, set the material deviation value reference threshold xv1 of the material supplier; compare and analyze the material deviation value of the material supplier with the preset material deviation value given value xv1, when the material deviation value is less than the preset material deviation value xv1, the material item of the material supplier is assigned g3 points, when the material deviation value is equal to the preset material deviation value xv1, the material item of the material supplier is assigned g2 points, when the material deviation value is greater than the preset material deviation value xv1, the material item of the material supplier is assigned g1 points; Obtain the average monthly salary GZ of each type of work in each labor team, the average number of rework times LC of the labor team per month, and analyze to obtain the labor team operation evaluation coefficient LG; Obtain the labor team's work evaluation coefficient in real time, and set the labor team's work evaluation coefficient reference threshold xv2; compare and analyze the labor team's work evaluation coefficient with the preset evaluation coefficient given value xv2; when the evaluation coefficient is less than the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g1 points; when the evaluation coefficient is equal to the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g2 points; when the evaluation coefficient is greater than the preset evaluation coefficient xv2, the labor team's work evaluation item is assigned g3 points; The sum of the material difference value and the labor team operation evaluation coefficient of the material supplier is calculated, and the total value of the cost rectification response is obtained. If the total rectification response value is 2g3 or g2+g3, a first-level cost rectification response set is generated; if the total rectification response value is 2g2 or g1+g2 or g1+g3, a second-level cost rectification response set is generated; if the total rectification response value is 2g1, a third-level cost rectification response set is generated; The cost rectification response set is matched with the abnormal cost control rectification warning signal of the construction project. If the construction site generates an abnormal construction project and a construction cost control rectification warning signal, the corresponding first-level cost rectification response set will be generated for the cost rectification of the construction site.

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