Engineering quality supervision service evaluation method based on big data

Abstract

The invention relates to the technical field of project quality supervision, and particularly discloses a big data-based project quality supervision service evaluation method, which comprises the following steps of: firstly, acquiring construction-under-construction project supervision information, shutdown project supervision information and completion project supervision information in a project quality supervision comprehensive platform; the supervision service index of the project under construction, the supervision service index of the shutdown project and the supervision service index of the completion project are respectively judged, finally, the supervision service satisfaction index of the project quality supervision comprehensive platform is comprehensively evaluated, and the supervision service satisfaction of the project quality supervision comprehensive platform is optimized. Therefore, the engineering quality supervision comprehensive platform can better know the supervision service degree of the engineering quality, discover potential problems in the engineering quality supervision and take solution measures in time, so that the supervision efficiency of the engineering quality supervision is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering quality supervision services, and in particular to an engineering quality supervision service evaluation method based on big data. Background Art

[0002] With the continuous advancement of urbanization and the continuous acceleration of infrastructure construction, the scale and number of engineering construction are constantly increasing, which has led to increasingly prominent engineering quality issues. Therefore, it is particularly important to supervise engineering quality. Traditional engineering quality supervision services are often time-consuming and labor-intensive, difficult to implement, and have low service satisfaction. Therefore, it is necessary to introduce a new method to improve the efficiency and service satisfaction of engineering quality supervision services. The engineering quality supervision service evaluation method based on big data studied in the present invention can analyze the specific situation of engineering quality supervision more quickly and efficiently, and obtain the service satisfaction status of engineering quality supervision by processing multi-dimensional data on engineering quality, so as to optimize the quality supervision service of the project, make the obtained supervision service satisfaction more accurate and reliable, and at the same time improve the efficiency of engineering quality supervision services and reduce the cost of supervision services.

[0003] For example, the invention patent with announcement number CN109784758B is a project quality supervision and early warning system and method based on the BIM model. The supervision and early warning system includes a design change control module, a construction plan review module, a raw material entry quality control module, and a quality responsibility and technical data control module. The method for supervision and early warning includes analyzing the business relevance of design changes, construction plans, raw material entry, quality responsibility and technical data from the perspective of project data, determining the matching project data, marking the BIM model according to the flow section, and collecting all kinds of supervision and early warning data to the control center. The supervision and early warning functions in the project quality supervision and early warning system are used to supervise the quality of the construction project, and to issue early warnings for problem projects. The data visualization technology is used to realize the visual management of the R&D project quality supervision and control center.

[0004] However, in the process of implementing the above-mentioned application embodiments, the present application discovered that the above-mentioned technology has at least the following technical problems: in the raw material entry quality control module, the above-mentioned application only loads the quality control data of the raw materials, and does not take into account the quantity of raw materials used during the project quality supervision, such as the amount of concrete used, the amount of steel bars used, and the amount of pipes and fittings used. If these quantity parameters are not considered, the project may have problems such as cutting corners in quality, resulting in inaccurate project quality supervision data, and the management efficiency of the project quality supervision service cannot be improved. Summary of the invention

[0005] Technical issues solved In view of the deficiencies in the prior art, the present invention provides an engineering quality supervision service evaluation method based on big data, which solves the problems involved in the above background.

[0006] Technical Solution To achieve the above objectives, the present invention is implemented through the following technical solutions: a method for evaluating engineering quality supervision services based on big data, comprising obtaining engineering supervision information in an engineering quality supervision comprehensive platform, specifically including supervision information of projects under construction, supervision information of suspended projects and supervision information of completed projects, and respectively determining the supervision service index of projects under construction, the supervision service index of suspended projects and the supervision service index of completed projects; comprehensively evaluating the supervision service satisfaction index of the engineering quality supervision comprehensive platform, and optimizing the supervision service satisfaction index of the engineering quality supervision comprehensive platform.

[0007] Furthermore, the supervision service satisfaction of the engineering quality supervision comprehensive platform is optimized, and the specific optimization process is: comparing the supervision service satisfaction index of the engineering quality supervision comprehensive platform with a preset supervision service satisfaction threshold. If the supervision service satisfaction index of the engineering quality supervision comprehensive platform is lower than the supervision service satisfaction threshold, then performing difference processing on the supervision service satisfaction index of the engineering quality supervision comprehensive platform and the supervision service satisfaction threshold. The difference is recorded as the supervision service satisfaction deviation value of the engineering quality supervision comprehensive platform, and matched with the service optimization degree corresponding to each supervision service satisfaction deviation value interval defined in the engineering quality database to obtain the supervision service optimization degree of the engineering quality supervision comprehensive platform, thereby optimizing the supervision service satisfaction of the engineering quality supervision comprehensive platform.

[0008] Furthermore, the supervision service satisfaction index of the engineering quality supervision comprehensive platform is specifically analyzed by weighted aggregation of the supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects in sequence to obtain the supervision service satisfaction index of the engineering quality supervision comprehensive platform. The supervision service satisfaction index of the engineering quality supervision comprehensive platform represents the quantitative data of the supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects on the supervision service satisfaction of the engineering quality supervision comprehensive platform.

[0009] Furthermore, the supervision service index of the projects under construction is a numerical value of the supervision service degree of the projects under construction obtained by comprehensively evaluating the quality supervision impact coefficient of each project under construction, the safety supervision impact coefficient of each project under construction, and the environmental protection supervision impact coefficient of each project under construction.

[0010] Furthermore, the specific analysis process of the quality supervision influence coefficient of each project under construction is as follows: based on the supervision information of the projects under construction, the supervision service information of each project under construction is extracted, specifically including the quality supervision-related information of each project under construction, the safety supervision-related information of each project under construction and the environmental protection supervision-related information of each project under construction; based on the quality supervision-related information of each project under construction, the quantity of concrete used, the quantity of steel bars used, and the quantity of pipes and fittings used in each project under construction within the set project supervision cycle are statistically obtained; the reference quantity of concrete used, the reference quantity of steel bars used, and the reference quantity of pipes and fittings used are extracted from the project quality database, and the quality supervision influence coefficient of each project under construction is obtained by analysis; based on the safety supervision-related information of each project under construction and the environmental protection supervision-related information of each project under construction, the safety supervision influence coefficient of each project under construction and the environmental protection supervision influence coefficient of each project under construction are analyzed.

[0011] Furthermore, the specific analysis process of the safety supervision impact coefficient of each project under construction and the environmental protection supervision impact coefficient of each project under construction is as follows: based on the safety supervision related information of each project under construction, wherein the safety supervision related information includes the average safety step distance, the maximum distance of the escape pipe and the number of fire extinguishers configured; extract the safety step distance reference distance, the escape pipe adaptation distance and the defined number of fire extinguishers configured from the engineering quality database, and analyze to obtain the safety supervision impact coefficient of each project under construction; based on the environmental protection supervision related information of each project under construction, wherein the environmental protection supervision related information includes the purified water body discharge amount, and divide the set engineering supervision cycle into various supervision time points, thereby extracting the noise decibel value of each project under construction at each supervision time point; extract the purified water body discharge limit amount and the noise decibel limit value from the engineering quality database, and evaluate to obtain the environmental protection supervision impact coefficient of each project under construction.

[0012] Furthermore, the supervision service index of the suspended project is a numerical value of the supervision service degree of the suspended project obtained by comprehensively analyzing the compliance supervision impact coefficient of each suspended project and the security inspection impact coefficient of each suspended project.

[0013] Furthermore, the compliance supervision impact coefficient of each suspended project is specifically analyzed as follows: based on the suspended project supervision information, the supervision service information of each suspended project is statistically obtained, specifically including the compliance supervision-related information of each suspended project and the safety inspection-related information of each suspended project; based on the compliance supervision-related information of each suspended project, the number of qualified equipment maintenance of each suspended project within the set suspension supervision period is extracted, and the personnel placement rate of each suspended project is obtained; the number of qualified equipment maintenance is extracted from the project quality database, thereby assessing the compliance supervision impact coefficient of each suspended project; based on the safety inspection-related information of each suspended project, the safety inspection impact coefficient of each suspended project is analyzed.

[0014] Furthermore, the specific analysis process of the safety inspection impact coefficient of each suspended project is as follows: based on the safety inspection related information of each suspended project, where the security inspection related information includes the safety and environmental protection inspection score and the personnel safety training coverage rate within the set suspension supervision period; from the project quality database, the safety and environmental protection inspection definition score is extracted to obtain the safety inspection impact coefficient of each suspended project.

[0015] Furthermore, the specific analysis process of the supervision service index of the completed project is as follows: based on the supervision information of the completed projects, the supervision service information of each completed project is statistically obtained, including the quality inspection pass rate, the safety facility acceptance pass rate and the energy consumption; the quality inspection definition pass rate, the safety facility acceptance definition pass rate and the energy reference consumption are extracted from the project quality database, and the supervision service index of the completed project is obtained through comprehensive analysis.

[0016] Beneficial Effects The present invention has the following beneficial effects: (1) The present invention provides a method for evaluating engineering quality supervision services based on big data. First, the engineering supervision information in the engineering quality supervision comprehensive platform is obtained, specifically including the supervision information of the projects under construction, the supervision information of the suspended projects and the supervision information of the completed projects. The supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects are determined respectively. Finally, the supervision service satisfaction index of the engineering quality supervision comprehensive platform is comprehensively evaluated, and the supervision service satisfaction of the engineering quality supervision comprehensive platform is optimized. The supervision service satisfaction thus obtained is more accurate and reliable, so that the engineering quality supervision comprehensive platform can better understand the degree of supervision services of engineering quality, discover potential problems in engineering quality supervision and take timely solutions, thereby improving the supervision efficiency of engineering quality supervision.

[0017] (2) The present invention obtains the supervision information of projects under construction, extracts the quality supervision related information of each project under construction, the safety inspection related information of each project under construction, and the environmental protection supervision related information of each project under construction, respectively evaluates the quality supervision impact coefficient of each project under construction, the safety supervision impact coefficient of each project under construction, and the environmental protection supervision impact coefficient of each project under construction, and comprehensively analyzes to obtain the supervision service index of the projects under construction, so as to provide a more reliable data basis for the subsequent comprehensive analysis of the supervision service satisfaction index of the comprehensive platform for project quality supervision, and at the same time can timely understand the construction progress and quality status of the projects under construction.

[0018] (3) The present invention obtains the supervision information of the suspended projects, extracts the compliance supervision related information of each suspended project and the safety inspection related information of each suspended project, and evaluates the compliance supervision impact coefficient of each suspended project and the safety inspection supervision impact coefficient of each suspended project respectively. It can summarize the reasons for the suspension and the lessons learned from the supervision service, and provide reference for the projects under construction.

[0019] (4) The present invention obtains the supervision information of completed projects, extracts the quality inspection pass rate, safety facility acceptance pass rate and energy consumption, and obtains the completed project supervision service index through comprehensive analysis. It can provide effective project management experience for project quality supervision and operation and maintenance personnel, so as to improve the management efficiency of the supervision of projects under construction. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0021] Figure 1 The figure is a schematic flow chart of the method steps of the present invention. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: a method for evaluating engineering quality supervision services based on big data, comprising obtaining engineering supervision information in an engineering quality supervision comprehensive platform, specifically including supervision information of projects under construction, supervision information of suspended projects and supervision information of completed projects, and respectively determining the supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects.

[0024] Specifically, the specific analysis process of the influence coefficient of the quality supervision of each project under construction is as follows: Based on the supervision information of projects under construction, the supervision service information of each project under construction is extracted, including quality supervision related information of each project under construction, safety supervision related information of each project under construction, and environmental protection supervision related information of each project under construction. It should be explained that the above-mentioned quality supervision related information can be directly obtained on the comprehensive platform for project quality supervision.

[0025] According to the quality supervision-related information of each project under construction, the quantity of concrete, steel bars and pipes and fittings used in each project under construction within the set project supervision period is statistically obtained. The quantity of concrete, steel bars and pipes and fittings used are all obtained through on-site field investigation. The construction site is observed, and the quantity and time of each use of concrete, steel bars and pipes and fittings are recorded. At the same time, communication with construction personnel is also possible to understand the use of these materials. In this way, the quantity of concrete, steel bars and pipes and fittings used in the project supervision period can be accurately obtained.

[0026] The reference usage quantity of concrete, the reference usage quantity of steel bars, and the reference usage quantity of pipes and fittings are extracted from the engineering quality database.

[0027] Comprehensively analyze the quality supervision influence coefficients of each project under construction; in a specific embodiment, by establishing a model between quality supervision and project quality, selecting a suitable mathematical model for modeling and analysis, the quality supervision influence coefficients of each project under construction can be obtained.

[0028] The above-mentioned quality supervision influence coefficients of the projects under construction are obtained by comprehensively analyzing the amount of concrete used, the amount of steel bars used, and the amount of pipes and fittings used in the projects under construction within the set project supervision period in this embodiment, so as to determine the value of the quality supervision influence of the projects under construction, and adopt a more accurate calculation method to obtain the value, and the specific expression is: , in It is expressed as the coefficient of influence of quality supervision of the i-th project under construction. In this embodiment, the quality and use of construction materials directly affect the overall quality of the project. Concrete is the main structural material in construction projects. Its use quantity directly affects the firmness and durability of the project foundation. If the amount of concrete used is insufficient or the proportion is improper, it may lead to problems such as insufficient structural strength, cracking, leakage, etc., which seriously affect the quality of the project. Steel bars are key materials used to enhance the strength and stability of concrete structures in construction projects. The amount of steel bars used needs to be strictly in accordance with the construction specifications. If the steel bars are used improperly, it may lead to serious consequences such as uneven force on the structure, excessive deformation, and even collapse. Pipes and fittings are mainly used to transport water, heating, gas and other media in construction projects. Their use quantity and quality directly affect the practicality and safety of the project. If there are problems with the quantity of pipes and fittings or they are used improperly, it may cause failures such as leakage and rupture of pipeline connections, bringing unnecessary losses and risks to the project. In summary, project quality supervisors need to inspect and evaluate construction materials to ensure the safety and stability of project quality.

[0029] i is the number of each project under construction, , m is the number of projects under construction.

[0030] It represents the amount of concrete used in the i-th project under construction within the set engineering supervision cycle. The amount of concrete used refers to the total amount of concrete actually consumed by the project during the engineering supervision cycle. This data directly reflects the progress and scale of the project construction. It is also an important indicator for evaluating project quality, cost control and construction material management efficiency.

[0031] Expressed as the reference quantity of concrete usage, it refers to the reference standard for the quantity of concrete used within the set project supervision period.

[0032] It represents the number of steel bars used in the ith project under construction within the set engineering supervision cycle. The number of steel bars used refers to the total amount of steel bars actually consumed by the project within the engineering supervision cycle. This number is usually closely related to factors such as the scale, structure type, design requirements and construction progress of the project. If there is an abnormal fluctuation in the number of steel bars used, it may mean that there are construction quality problems or management loopholes in the project, and timely measures need to be taken to correct and improve them.

[0033] Expressed as the reference quantity of steel bars used, it refers to the reference standard for the quantity of steel bars used within the set project supervision period.

[0034] It represents the number of pipes and fittings used in the i-th project under construction within the set engineering supervision cycle, where the number of pipes and fittings used refers to the total number of pipes and fittings used in all engineering projects within the engineering supervision cycle, which includes various types of pipes, such as steel pipes, plastic pipes, cast iron pipes, etc. and pipe fittings, such as elbows, tees, flanges, etc., which are used to build and maintain the fluid conveying system in the project.

[0035] It is expressed as the reference usage quantity of pipes and fittings, which refers to the allowable standard quantity of pipes and fittings used within the set project supervision period.

[0036] Expressed as a correction factor corresponding to the predefined concrete usage quantity, Expressed as a correction factor corresponding to the predefined number of steel bars used, Expressed as a correction factor corresponding to the predefined number of pipes and fittings used.

[0037] According to the safety supervision related information of each project under construction and the environmental protection supervision related information of each project under construction, the safety supervision impact coefficient of each project under construction and the environmental protection supervision impact coefficient of each project under construction are analyzed.

[0038] Furthermore, the specific analysis process of the safety supervision impact coefficient of each project under construction and the environmental protection supervision impact coefficient of each project under construction is as follows: According to the safety supervision-related information of each project under construction, including the average safety step distance, the maximum distance of the escape pipe and the number of fire extinguishers, the average safety step distance, the maximum distance of the escape pipe and the number of fire extinguishers all need to be recorded through actual measurement and observation on site, and the average safety step distance of each project under construction should be calculated; the distance of each escape pipe should be measured to screen out the maximum distance of the escape pipe; the location of each fire extinguisher should be recorded and its number should be counted to ensure the accuracy and reliability of the data.

[0039] The safe step reference distance, escape pipe adaptation distance and fire extinguisher configuration quantity are extracted from the engineering quality database.

[0040] Comprehensively analyze the safety supervision influence coefficient of each project under construction; in a specific embodiment, a questionnaire survey method can be used to survey relevant personnel of the project under construction, such as construction personnel, safety management personnel, and supervisory personnel. The questionnaire content can include their views and evaluations on safety supervision, as well as the degree of influence of safety supervision on the safety of the project under construction, so as to obtain the safety supervision influence coefficient of each project under construction.

[0041] In this embodiment, the above-mentioned safety supervision influence coefficient of each project under construction is obtained by comprehensive analysis of the average value of the safe step distance, the maximum distance of the escape pipe and the number of fire extinguishers configured, so as to determine the value of the safety supervision influence degree of each project under construction, and adopt a more accurate calculation method to obtain it. The specific expression is: , in represents the coefficient of influence of safety supervision of the ith project under construction. In this embodiment, the average value of the safe step distance is an important reference indicator for safe walking on the construction site. By ensuring that personnel maintain a reasonable step distance during the operation, the safety risks caused by accidents such as falls and collisions can be effectively reduced; the maximum distance of the escape pipe is directly related to the evacuation speed and escape success rate of personnel in an emergency. When an emergency such as a fire or explosion occurs at the construction site, the escape pipe is the key channel for personnel to quickly evacuate the site; the number of fire extinguishers is an important means of fire prevention and control on the construction site. By reasonably configuring fire extinguishers, fires can be quickly extinguished in the early stage of the fire to prevent the fire from spreading; in summary, the average value of the safe step distance, the maximum distance of the escape pipe and the number of fire extinguishers are all indispensable and important elements in engineering safety supervision. Therefore, in the process of engineering safety supervision, full attention should be paid to the influence of these factors, and corresponding measures should be taken to manage and control them.

[0042] i is the number of each project under construction, , m is the number of projects under construction.

[0043] Represents the average safety step length of the i-th project under construction, where the safety step length refers to the minimum distance between steps set at the construction site to ensure the safety of construction workers. The determination of this value needs to be based on the specific conditions of the project site, such as terrain, working environment, equipment layout, etc. In order to obtain the average safety step length, the step lengths of multiple points can be measured on site and then their average value can be calculated.

[0044] Expressed as the reference distance for safe step length, it refers to the best and most suitable data for safe step length.

[0045] It represents the maximum distance of the escape pipe of the i-th project under construction. The maximum distance of the escape pipe refers to the maximum length of the pipe that the construction site personnel need to pass through to evacuate from the dangerous area to the safe area in an emergency. The determination of this value needs to take into account factors such as the personnel evacuation speed, the pipeline capacity, and the environmental conditions inside the pipeline.

[0046] Expressed as the escape duct adaptation distance, it refers to the reference benchmark value of the escape duct distance.

[0047] It represents the number of fire extinguishers configured in the i-th construction project. The number of fire extinguishers configured refers to the total number of fire extinguishers configured in the entire project. Fire extinguishers can protect the lives of personnel at the construction site, prevent the spread of fire, and improve the fire response capability. Therefore, fire extinguishers should be reasonably configured and regularly maintained and inspected to ensure that they can play their due role in the event of a fire.

[0048] It indicates the limited configuration quantity of fire extinguishers, which refers to the minimum configuration quantity of fire extinguishers.

[0049] It is expressed as the correction factor corresponding to the predefined average value of the safe step length, It is expressed as the correction factor corresponding to the predefined maximum distance of the escape duct, Expressed as a correction factor corresponding to the predefined number of fire extinguisher configurations.

[0050] According to the environmental protection supervision-related information of each project under construction, including the discharge of purified water bodies, the set project supervision cycle is divided into various supervision time points, thereby extracting the noise decibel value of each project under construction at each supervision time point. Among them, the discharge of purified water bodies is achieved through on-site monitoring at the discharge port, and professional water quality monitoring equipment is used to detect various indicators of purified water bodies, including the discharge volume. This method can obtain real-time data more directly, thereby obtaining the discharge of purified water bodies; the noise decibel value can be obtained at each supervision time point through professional noise measuring instruments.

[0051] The purified water discharge limit value and noise decibel limit value are extracted from the engineering quality database.

[0052] Comprehensively analyze the environmental protection supervision impact coefficient of each project under construction. In a specific embodiment, the various indicators of project environmental protection supervision can be quantitatively analyzed through statistical data and monitoring data, including pollutant emissions, environmental quality index, operating efficiency of environmental protection facilities, etc., so as to obtain the environmental protection supervision impact coefficient of each project under construction.

[0053] The above-mentioned environmental protection supervision influence coefficients of the projects under construction are obtained in this embodiment through comprehensive analysis of the purified water discharge and the noise decibel values ​​of the projects under construction at each supervision time point, so as to determine the value of the environmental protection supervision influence of the projects under construction, and are obtained by a more accurate calculation method. The specific expression is: , in It represents the environmental protection supervision influence coefficient of the ith project under construction. In this embodiment, the purified water discharge is directly related to the water quality impact of the project on the surrounding environment. If the purified water discharge is too small or the discharged substances do not meet the prescribed standards, it may cause pollution to the surrounding waters, destroy the ecological balance, and even affect people’s water safety; the noise decibel value is a key indicator to measure the impact of construction noise on the environment. Noise pollution may not only interfere with the normal life of surrounding residents, but also have a negative impact on the health and safety of workers. Excessive noise decibel values ​​may cause complaints from residents and even cause the project to stop; in general, the purified water discharge and noise decibel value are two important aspects that cannot be ignored in the environmental protection supervision of the project. By strictly controlling these two indicators, the negative impact of the project on the environment can be effectively reduced.

[0054] j is the number of each regulatory time point, , n is the number of regulatory time points.

[0055] It is expressed as the purified water discharge of the i-th project under construction, where the purified water discharge mainly refers to the amount of water that has been treated after the construction of the project and is discharged into the natural environment such as rivers, lakes or oceans after meeting a certain emission standard or requirement. This indicator is directly related to the quality of the water and the effectiveness of environmental protection.

[0056] It is expressed as the limit amount of purified water discharge, which refers to the minimum discharge amount of purified water.

[0057] It represents the noise decibel value of the i-th construction project at the j-th supervision time point. The noise decibel value is used to measure the sound intensity. The larger the noise decibel value, the stronger the noise in the environment, the greater the degree of noise pollution, and the more unfavorable it is to environmental protection.

[0058] Expressed as the noise decibel limit, it refers to the maximum value allowed when analyzing the noise decibel value.

[0059] Expressed as a correction factor corresponding to the predefined purified water discharge, Expressed as a correction factor corresponding to a predefined noise decibel value.

[0060] Specifically, the supervision service index of the project under construction, in a specific embodiment, can be obtained by collecting various data related to the supervision service of the project under construction, including supervision records, violation handling records, safety accident records, etc. By collating and analyzing these data, the efficiency and effectiveness of the supervision service can be evaluated, thereby calculating the supervision service index of the project under construction.

[0061] The supervision service index of the above-mentioned projects under construction is obtained by comprehensive analysis of the quality supervision influence coefficient of each project under construction, the safety supervision influence coefficient of each project under construction, and the environmental protection supervision influence coefficient of each project under construction in this embodiment, so as to determine the value of the supervision service of the project under construction, and adopt a more accurate calculation method to obtain it. The specific expression is: , in It represents the supervision service index of the project under construction. In this embodiment, if the quality supervision impact coefficient of the project under construction is inaccurate or incomplete, it may lead to deviations in the analysis of the supervision service of the project under construction, affecting the judgment of the supervision service status; at the same time, if the safety supervision impact coefficient of the project under construction is unreasonable, it may lead to potential safety problems in the project under construction, which may threaten the personal safety of surrounding residents and have a negative impact on the supervision service of the project under construction; not only that, if the environmental protection supervision impact coefficient of the project under construction is too high, it means that the environmental protection level of the project under construction exceeds the reference environmental protection level formulated by the effectiveness department, which may very likely lead to the suspension of the project under construction; in summary, ensuring the accuracy and stability of the quality supervision impact coefficient of the project under construction, the safety supervision impact coefficient of the project under construction and the environmental protection supervision impact coefficient of the project under construction is crucial to analyzing the supervision service index of the project under construction, so as to ensure that the supervision platform can understand the supervision service situation in detail.

[0062] It is expressed as the coefficient of the impact degree of quality supervision of the i-th project under construction, which means that the data on the impact degree of quality supervision of the project under construction is obtained through comprehensive analysis of the amount of concrete used, the amount of steel bars used, and the amount of pipes and fittings used.

[0063] i is the number of each project under construction, , m is the number of projects under construction.

[0064] It represents the safety supervision impact coefficient of the i-th project under construction, and indicates that the value of the safety supervision impact of the project under construction is obtained through comprehensive analysis of the average safety step distance, the maximum distance of the escape pipe and the number of fire extinguishers.

[0065] It represents the environmental protection supervision impact coefficient of the i-th project under construction, and indicates that the value of the environmental protection supervision impact of the project under construction is obtained by comprehensive analysis of the purified water discharge and noise decibel value.

[0066] It is expressed as the weight factor corresponding to the predefined quality supervision impact coefficient, It is expressed as the weight factor corresponding to the predefined safety supervision impact coefficient, It is expressed as the weight factor corresponding to the predefined environmental protection regulatory impact coefficient.

[0067] Furthermore, the compliance supervision impact coefficient of each suspended project is analyzed in detail as follows: Based on the supervision information of suspended projects, the supervision service information of each suspended project is obtained, including the compliance supervision related information of each suspended project and the security inspection related information of each suspended project.

[0068] According to the compliance supervision-related information of each suspended project, the number of qualified equipment maintenance of each suspended project within the set suspension supervision period is extracted, and the personnel placement rate of each suspended project is obtained. The number of qualified equipment maintenance requires the equipment maintenance department to provide detailed equipment maintenance records. For each maintenance, there is a need for clear qualified or unqualified judgment criteria, and the judgment results are recorded, thereby finding the number of qualified equipment maintenance within the suspension supervision period; the personnel placement rate of the suspended project requires the total number of people in each suspended project to be counted, and the number of people who have been placed is divided by the total number of people in the suspended project to get the personnel placement rate of the suspended project.

[0069] The qualified quantity of equipment maintenance is extracted from the engineering quality database.

[0070] A comprehensive analysis is performed on the compliance supervision impact coefficient of each suspended project. In a specific embodiment, a comprehensive compliance inspection of the suspended projects can be conducted, including verification of project documents, construction permits, safety standards, environmental protection, etc., and through evaluation by professionals, it is determined whether there are any compliance issues with the project while it is suspended, as well as the severity of these issues, so as to obtain the compliance supervision impact coefficient of each suspended project.

[0071] The compliance supervision impact coefficient of each suspended project is obtained in this embodiment through comprehensive analysis of the number of qualified equipment maintenance of each suspended project within the set suspension supervision period and the personnel placement rate of each suspended project, so as to determine the value of the compliance supervision impact of each suspended project, and adopt a more accurate calculation method to obtain it. The specific expression is: , in It represents the compliance supervision impact coefficient of the tth suspended project. In this embodiment, if the number of qualified equipment maintenance of each suspended project within the set suspension supervision cycle does not meet the defined number, it may cause the suspended project to fail to comply with the regulations and extend the suspension time, resulting in deviations in project quality; if the personnel placement rate of the suspended project is too low and does not reach the prescribed placement rate, it may cause damage to employee rights and interests and have a negative impact on the enterprise; in summary, ensuring the stability of the number of qualified equipment maintenance and the personnel placement rate of each suspended project within the set suspension supervision cycle is crucial to analyzing the compliance supervision impact coefficient of each suspended project.

[0072] t is the number of each suspended project, , k is the number of suspended projects.

[0073] It is expressed as the number of qualified equipment maintenance of the tth suspended project within the set suspension supervision cycle, where the qualified equipment maintenance number refers to the number of equipment of the suspended project that meets the qualified standards after maintenance. This indicator directly reflects the quality and effect of the equipment maintenance work of the suspended project. The more qualified equipment maintenance, the stronger the company's equipment maintenance capability, and the higher the stability and reliability of equipment operation, which helps to reduce equipment failures and downtime and prepare for subsequent resumption of work.

[0074] It indicates the qualified quantity defined for equipment maintenance, which refers to the minimum value allowed when analyzing the qualified quantity of equipment maintenance.

[0075] It is expressed as the personnel placement rate of the tth suspended project, where the personnel placement rate of the suspended project refers to the ratio of the number of employees who have been properly placed in the suspended project to the total number of employees in the suspended project. This indicator reflects the company's care and handling capabilities for the employees in the suspended project. If the company properly handles the employee problems caused by the suspension project and reduces employee anxiety and dissatisfaction, it can not only maintain the stability and harmony of the company, but also help the company to quickly resume production and reduce losses after the suspension project ends.

[0076] It is expressed as the correction factor corresponding to the predefined qualified number of equipment maintenance. It is expressed as the compliance supervision impact factor corresponding to the predefined unit personnel placement rate, and e is a natural constant.

[0077] Specifically, the safety inspection impact coefficient of each suspended project is analyzed in the following process: According to the security inspection-related information of each suspended project, the security inspection-related information includes the safety and environmental protection inspection scores and the personnel safety training coverage rate during the set suspension supervision period. The safety and environmental protection inspection score report can be obtained directly from the relevant environmental protection inspection department; the personnel safety training coverage rate should establish an employee safety training file to record the time, content, results and other information of each employee participating in the training, conduct statistics and analysis on the training situation during the suspension supervision period, and calculate the personnel safety training coverage rate.

[0078] Safety and environmental protection inspection scores are extracted from the engineering quality database.

[0079] Comprehensively analyze the security impact coefficient of each suspended project. In a specific embodiment, the security impact coefficient of each suspended project can be obtained by conducting a safety inspection on each suspended project, recording it in detail, and performing data analysis on the safety status of each suspended project based on the security inspection records.

[0080] The above-mentioned safety inspection impact coefficients of each suspended project are obtained in this embodiment through comprehensive analysis of the safety and environmental protection inspection scores and the personnel safety training coverage rate within the set suspension supervision period, so as to determine the value of the safety inspection impact of each suspended project, and a more accurate calculation method is used to obtain it. The specific expression is: , in represents the coefficient of the impact degree of safety inspection of the tth suspended project. In this embodiment, a too low safety and environmental protection inspection score means that the suspended project has many problems and deficiencies in safety and environmental protection, which may lead to safety hazards and environmental pollution within the suspended project, increase the risk of accidents and illegal emissions, so that the suspended project cannot be resumed in time and the suspension time is extended; the low coverage rate of personnel safety training will also bring serious consequences. If employees lack the necessary safety awareness and skills, they may not be able to correctly deal with the potential safety risks of the suspended project, thereby increasing the possibility of accidents; from a more macro perspective, too low safety and environmental protection inspection scores and personnel safety training coverage rates will also affect the social image and reputation of the enterprise; in summary, suspended projects should attach great importance to safety, environmental protection and personnel safety training issues, strengthen the relevant management of suspended projects and employee training, and improve safety and environmental protection inspection scores and personnel safety training coverage rates.

[0081] t is the number of each suspended project, , k is the number of suspended projects.

[0082] It is expressed as the safety and environmental protection inspection score of the tth suspended project within the set suspension supervision cycle, where the safety and environmental protection inspection score refers to the score obtained by the suspended project based on a series of evaluation criteria when it undergoes a safety and environmental protection inspection. This score usually reflects the overall performance of the suspended project in safety and environmental protection, including the degree of compliance of its facilities and equipment, operating specifications, emergency response and other aspects.

[0083] It represents the safety and environmental protection inspection score, which refers to the minimum value allowed when analyzing the safety and environmental protection inspection score.

[0084] It is expressed as the personnel safety training coverage rate of the tth suspended project within the set suspension supervision cycle, where the personnel safety training coverage rate refers to the proportion of employees who have received safety training in the suspended project to the total number of employees. This indicator reflects the degree of emphasis the company places on employee safety training and the popularity of training. The higher the coverage rate, the higher the safety awareness and skill level of the employees. This is of great significance for the suspended project to prevent and reduce safety accidents after resuming work.

[0085] It is expressed as the predefined personnel safety training coverage, which refers to the minimum value allowed for the personnel safety training coverage.

[0086] It is expressed as the correction factor corresponding to the predefined safety and environmental protection inspection score. It is expressed as a correction factor corresponding to the predefined personnel safety training coverage.

[0087] Furthermore, in a specific embodiment, the supervision service index of the suspended project can be calculated by collecting all supervision records of the suspended project during the suspension period, including inspection reports, rectification notices, penalty records, etc. from the supervision platform, and conducting qualitative and quantitative analysis on these records.

[0088] In this embodiment, the value of the supervision service of the suspended project is determined by comprehensively analyzing the compliance supervision influence coefficient of each suspended project and the security inspection influence coefficient of each suspended project, and a more accurate calculation method is used to obtain the value. The specific expression is: , in It represents the supervision service index of the suspended project. In this embodiment, the compliance supervision impact coefficient of the suspended project measures the compliance performance of the suspended project. The compliance supervision involves whether the suspended project complies with laws, regulations, industry standards and regulatory requirements. If the compliance supervision impact coefficient is inaccurate, it means that the project has deficiencies in compliance, such as failure to suspend work as required and failure to take necessary environmental protection measures. The security inspection impact coefficient of the suspended project mainly focuses on the safety status and risk level of the suspended project during the security inspection process. If the security inspection impact coefficient is unstable, it means that there are many problems in the security inspection of the suspended project, such as safety hazards have not been promptly detected and handled, and the security inspection process is not standardized. In summary, the compliance supervision impact coefficient and the security inspection impact coefficient of the suspended project are important components of the supervision service index of the suspended project. Their levels directly determine the level of the supervision service index. Strengthening the supervision of compliance and security inspection can effectively improve the supervision service level of the suspended project and ensure the safety and smooth resumption of the suspended project.

[0089] It represents the compliance supervision impact coefficient of the tth suspended project, which represents the compliance supervision impact data of each suspended project obtained by comprehensively analyzing the number of qualified equipment maintenance of each suspended project within the set suspension supervision period and the personnel placement rate of each suspended project.

[0090] t is the number of each suspended project, , k is the number of suspended projects.

[0091] It represents the coefficient of the impact degree of safety inspection of the tth suspended project, and represents the data of the impact degree of safety inspection of the suspended project obtained by comprehensive analysis of the safety and environmental protection inspection scores and the coverage rate of personnel safety training within the set suspension supervision period.

[0092] It is expressed as the weight factor corresponding to the predefined compliance supervision impact coefficient, It is expressed as a weight factor corresponding to the predefined security inspection impact coefficient.

[0093] Specifically, the supervision service index of the completed project has the following specific analysis process: Based on the supervision information of completed projects, the supervision service information of each completed project is obtained through statistics, including the quality inspection pass rate, the safety facility acceptance pass rate and the energy consumption. The quality inspection pass rate is obtained by randomly sampling the completed projects, taking a certain number of completed project material samples for quality inspection, and calculating the proportion of qualified samples based on the sampling results, thereby obtaining the quality inspection pass rate; the safety facility acceptance pass rate requires organizing professional personnel to conduct on-site inspections of the safety facilities of the completed projects, record the actual conditions of each facility, compare the inspection results with the acceptance standards, calculate the proportion of qualified facilities, and obtain the safety facility acceptance pass rate; the energy consumption requires regular recording of energy consumption data during the operation of the completed project, such as the usage of electricity, gas, water, etc., in order to obtain the energy consumption.

[0094] The quality inspection qualification rate, safety facility acceptance qualification rate and energy reference consumption are extracted from the engineering quality database.

[0095] Comprehensively analyzing the supervision service index of the completed project, in a specific embodiment, the supervision service index of the completed project can be evaluated by reviewing the supervision records, reports and documents of the completed project, including supervision inspection reports, rectification notices, acceptance reports, etc.

[0096] The supervision service index of the above-mentioned completed projects is obtained by comprehensive analysis of the qualified rate of quality inspection of each completed project, the qualified rate of safety facility acceptance of each completed project, and the energy consumption of each completed project in this embodiment, so as to determine the value of the supervision service of the completed project and adopt a more accurate calculation method to obtain it. The specific expression is: , in It represents the supervision service index of the completed project. In this embodiment, if the quality inspection pass rate is low, it means that there are problems with the project quality and rework or repair may be required, which not only increases cost and time, but may also affect the company's reputation and customer satisfaction, thereby having a negative impact on the supervision service index; if the safety facility acceptance rate is low, the completed project may have safety hazards, increasing the possibility of accidents and having an adverse impact on the supervision service index; if the energy of the completed project is properly used and the consumption is within an appropriate range, it means that energy conservation and environmental protection factors have been fully considered during the design, construction and use of the project, which helps to enhance the company's environmental image and social responsibility, thereby improving the supervision service index; in summary, the quality inspection pass rate, safety facility acceptance pass rate and energy consumption of the completed project are all important factors affecting the supervision service index. In order to improve the supervision service index of the completed project, construction personnel need to strictly control the quality during the construction process to ensure the effectiveness of the safety facilities, and at the same time pay attention to energy conservation and environmental protection, which can effectively improve the overall performance and supervision service level of the completed project.

[0097] u is the number of each completed project, , w is the number of completed projects.

[0098] It is expressed as the quality inspection pass rate of the u-th completed project, where the quality inspection pass rate refers to the proportion of the project that meets the qualified standards after the completion of the project through quality inspection by professional institutions or departments. Quality inspection usually covers inspections of building structures, materials, equipment, processes, etc. to ensure that the completed project meets the design requirements and relevant quality standards. The higher the pass rate, the more reliable the quality of the completed project is and the more it can meet the use requirements.

[0099] It indicates the qualified rate for quality inspection, which refers to the minimum value allowed for the qualified rate of quality inspection.

[0100] It is expressed as the acceptance rate of safety facilities of the u-th completed project, where the acceptance rate of safety facilities refers to the proportion of safety facilities in the project, such as fire-fighting facilities, safety exits, emergency lighting, etc., that have passed the acceptance procedure and reached the qualified standards after completion. The qualified acceptance of safety facilities is crucial to ensuring the safety of the completed project in the subsequent use process. It is an important link in ensuring the safety of life and property of personnel. A high acceptance rate means that the safety protection measures of the completed project are more complete.

[0101] It is expressed as the qualified rate for acceptance of safety facilities, which refers to the minimum value stipulated for the qualified rate for acceptance of safety facilities.

[0102] It is expressed as the energy consumption of the u-th completed project, where energy consumption refers to the total amount of energy consumed during the use of the project, usually including energy in the form of electricity, gas, fuel oil, heat, etc. Energy consumption is one of the important indicators for measuring the energy efficiency and environmental performance of a project. Lower energy consumption means that the completed project is more energy-efficient during operation, which helps to reduce operating costs, and also helps to reduce the impact on the environment and achieve sustainable development.

[0103] Expressed as reference energy consumption, it refers to the maximum value specified when evaluating energy consumption.

[0104] It is expressed as the correction factor corresponding to the predefined quality inspection pass rate, It is expressed as the correction factor corresponding to the predefined safety facility acceptance rate, Expressed as a correction factor corresponding to a predefined energy consumption.

[0105] Furthermore, in a specific embodiment, the supervision service satisfaction index of the comprehensive engineering quality supervision platform can be evaluated by collecting and analyzing engineering quality supervision data, such as violation records, rectification status, accident rates, etc., to evaluate the supervision effect of the platform. These data can reflect the role of the platform in promoting engineering quality improvement, reducing safety accidents, etc., thereby reflecting the user's satisfaction with the supervision service, thereby obtaining the supervision service satisfaction index of the comprehensive engineering quality supervision platform.

[0106] The supervision service satisfaction index of the above-mentioned engineering quality supervision comprehensive platform is obtained by comprehensive analysis of the supervision service index of the project under construction, the supervision service index of the suspended project and the supervision service index of the completed project in this embodiment, so as to determine the value of the supervision service satisfaction of the engineering quality supervision comprehensive platform, and adopt a more accurate calculation method to obtain it. The specific expression is: , in It represents the supervision service satisfaction index of the comprehensive platform for project quality supervision. In this embodiment, the supervision service index of projects under construction is an important indicator for evaluating the supervision effect of supervisors on projects under construction. It covers the supervision work of supervisors in terms of project quality and safety. If supervisors can promptly discover and correct problems in projects under construction and ensure project quality and safety, the supervision service index of projects under construction will be improved accordingly, thereby improving the supervision service satisfaction index; the supervision service index of suspended projects reflects the handling ability and effect of supervisors on suspended projects. When a project is suspended for various reasons, the supervision platform needs to intervene in a timely manner to ensure safety and environmental protection during the suspension period. The requirements are complied with and the project is promoted to resume work as soon as possible; the supervision service index of completed projects mainly focuses on the acceptance, quality inspection and subsequent energy use after the completion of the project. Supervisors need to ensure that the completed projects meet the relevant standards and requirements to ensure the long-term stable operation of the projects; in summary, the supervision service indexes of projects under construction, suspended projects and completed projects are important components of the supervision service satisfaction index. They respectively reflect the performance of the supervision platform in project supervision at different stages and have a direct impact on the satisfaction with supervision services. Therefore, the supervision platform needs to comprehensively strengthen the project supervision work at all stages, improve the quality and effectiveness of supervision services, and thus improve the satisfaction with supervision services.

[0107] It represents the supervision service index of the projects under construction, which is obtained by comprehensive analysis of the quality supervision influence coefficient of each project under construction, the safety supervision influence coefficient of each project under construction, and the environmental protection supervision influence coefficient of each project under construction.

[0108] It represents the supervision service index of the suspended projects, which is obtained by comprehensively analyzing the compliance supervision impact coefficient of each suspended project and the security inspection impact coefficient of each suspended project.

[0109] It represents the supervision service index of the completed project, which is obtained through comprehensive analysis of the quality inspection pass rate, safety facility acceptance pass rate and energy consumption.

[0110] It is represented by the weight factor corresponding to the predefined supervision service index of the project under construction. It is represented by the weight factor corresponding to the supervision service index of the predefined shutdown project, Expressed as the weight factor corresponding to the supervision service index of the completed project.

[0111] Specifically, the optimization of the supervision service satisfaction of the engineering quality supervision integrated platform is carried out, and the specific optimization process is as follows: The supervision service satisfaction index of the comprehensive engineering quality supervision platform is compared with the preset supervision service satisfaction threshold. If the supervision service satisfaction index of the comprehensive engineering quality supervision platform is lower than the supervision service satisfaction threshold, it may mean that the regulated party’s trust in the supervision platform is reduced, which in turn affects the authority and credibility of the supervision platform in the field of engineering construction. It may also reflect that the supervision platform has deficiencies in service quality, work efficiency, problem-solving ability, etc. These problems may lead to the inability of supervision work to timely and effectively discover and correct problems and risks in engineering construction, thereby affecting project quality, safety and production efficiency.

[0112] The supervision service satisfaction index of the comprehensive engineering quality supervision platform is subtracted from the supervision service satisfaction threshold, and the difference is recorded as the supervision service satisfaction deviation value of the comprehensive engineering quality supervision platform. It is matched with the service optimization degree corresponding to each supervision service satisfaction deviation value interval defined in the engineering quality database to obtain the supervision service optimization degree of the comprehensive engineering quality supervision platform, thereby optimizing the supervision service satisfaction of the comprehensive engineering quality supervision platform.

Claims

1. A method for evaluating engineering quality supervision services based on big data, characterized in that: include: Obtaining the engineering supervision information in the engineering quality supervision integrated platform, specifically including the supervision information of the projects under construction, the supervision information of the suspended projects and the supervision information of the completed projects, and respectively determining the supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects; Comprehensively evaluate the supervision service satisfaction index of the comprehensive engineering quality supervision platform, and optimize the supervision service satisfaction of the comprehensive engineering quality supervision platform.

2. The engineering quality supervision service evaluation method based on big data as claimed in claim 1 is characterized by: The above optimization of the supervision service satisfaction of the comprehensive engineering quality supervision platform is as follows: The supervision service satisfaction index of the comprehensive engineering quality supervision platform is compared with the preset supervision service satisfaction threshold. If the supervision service satisfaction index of the comprehensive engineering quality supervision platform is lower than the supervision service satisfaction threshold, the supervision service satisfaction index of the comprehensive engineering quality supervision platform and the supervision service satisfaction threshold are difference processed, and the difference is recorded as the supervision service satisfaction deviation value of the comprehensive engineering quality supervision platform, which is matched with the service optimization degree corresponding to each supervision service satisfaction deviation value interval defined in the engineering quality database to obtain the supervision service optimization degree of the comprehensive engineering quality supervision platform, thereby optimizing the supervision service satisfaction of the comprehensive engineering quality supervision platform.

3. The engineering quality supervision service evaluation method based on big data as claimed in claim 2 is characterized by: The supervision service satisfaction index of the comprehensive engineering quality supervision platform is specifically analyzed by weighted aggregation of the supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects in turn to obtain the supervision service satisfaction index of the comprehensive engineering quality supervision platform. The supervision service satisfaction index of the comprehensive engineering quality supervision platform represents the quantitative data of the supervision service index of the projects under construction, the supervision service index of the suspended projects and the supervision service index of the completed projects on the supervision service satisfaction of the comprehensive engineering quality supervision platform.

4. The engineering quality supervision service evaluation method based on big data as claimed in claim 3 is characterized by: The supervision service index of the projects under construction is a numerical value of the supervision service degree of the projects under construction obtained by comprehensively evaluating the quality supervision impact coefficient of each project under construction, the safety supervision impact coefficient of each project under construction, and the environmental protection supervision impact coefficient of each project under construction.

5. The engineering quality supervision service evaluation method based on big data as claimed in claim 4 is characterized by: The specific analysis process of the influence coefficient of the quality supervision of each project under construction is as follows: According to the supervision information of the projects under construction, the supervision service information of each project under construction is extracted, including the quality supervision related information of each project under construction, the safety supervision related information of each project under construction, and the environmental protection supervision related information of each project under construction; According to the quality supervision related information of each project under construction, the quantity of concrete, steel bars, pipes and fittings used in each project under construction within the set project supervision period is statistically obtained; Extract the reference usage quantity of concrete, reference usage quantity of steel bars and reference usage quantity of pipes and fittings from the engineering quality database, and use this to analyze and obtain the quality supervision influence coefficient of each project under construction; According to the safety supervision related information of each project under construction and the environmental protection supervision related information of each project under construction, the safety supervision impact coefficient of each project under construction and the environmental protection supervision impact coefficient of each project under construction are analyzed.

6. The engineering quality supervision service evaluation method based on big data as claimed in claim 4 is characterized by: The specific analysis process of the safety supervision impact coefficient of each project under construction and the environmental protection supervision impact coefficient of each project under construction is as follows: Based on the safety supervision related information of each project under construction, the safety supervision related information includes the average safety step distance, the maximum distance of the escape pipe and the number of fire extinguishers; The reference distance of safe step, the adaptation distance of escape pipes and the number of defined configurations of fire extinguishers were extracted from the engineering quality database, and the safety supervision influence coefficient of each project under construction was obtained through analysis. According to the environmental protection supervision related information of each project under construction, the environmental protection supervision related information includes the discharge volume of purified water bodies, and the set project supervision cycle is divided into various supervision time points, thereby extracting the noise decibel value of each project under construction at each supervision time point; The purified water discharge limit and noise decibel limit are extracted from the engineering quality database, and the environmental protection supervision impact coefficient of each project under construction is evaluated.

7. The engineering quality supervision service evaluation method based on big data as claimed in claim 3 is characterized by: The supervision service index of the suspended project is a numerical value of the supervision service level of the suspended project obtained by comprehensively analyzing the compliance supervision impact coefficient of each suspended project and the security inspection impact coefficient of each suspended project.

8. The engineering quality supervision service evaluation method based on big data as claimed in claim 7 is characterized by: The specific analysis process of the compliance supervision impact coefficient of each suspended project is as follows: According to the supervision information of suspended projects, the supervision service information of each suspended project is obtained, including the compliance supervision related information of each suspended project and the security inspection related information of each suspended project; According to the compliance supervision related information of each suspended project, the number of qualified equipment maintenance of each suspended project within the set suspension supervision period is extracted, and the personnel placement rate of each suspended project is obtained; Extract the qualified number of equipment maintenance from the engineering quality database, and evaluate the compliance supervision impact coefficient of each shutdown project; According to the security inspection-related information of each suspended project, the security inspection impact coefficient of each suspended project is analyzed.

9. The engineering quality supervision service evaluation method based on big data according to claim 7 is characterized by: The specific analysis process of the safety inspection impact coefficient of each suspended project is as follows: Based on the safety inspection-related information of each suspended project, the safety inspection-related information includes the safety and environmental protection inspection scores and the coverage rate of personnel safety training within the set suspension supervision cycle; The safety and environmental protection inspection definition scores are extracted from the project quality database, thereby obtaining the safety inspection impact coefficient of each suspended project.

10. The engineering quality supervision service evaluation method based on big data as claimed in claim 3 is characterized by: The specific analysis process of the supervision service index of the completed project is as follows: Based on the supervision information of completed projects, the supervision service information of each completed project is obtained, including the quality inspection pass rate, safety facility acceptance pass rate and energy consumption; The quality inspection qualification rate, safety facility acceptance qualification rate and energy reference consumption are extracted from the engineering quality database, and the supervision service index of the completed project is obtained through comprehensive analysis.

Images