CN106910032B - Construction engineering quality detection supervision platform and method - Google Patents

Construction engineering quality detection supervision platform and method Download PDF

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CN106910032B
CN106910032B CN201710187399.2A CN201710187399A CN106910032B CN 106910032 B CN106910032 B CN 106910032B CN 201710187399 A CN201710187399 A CN 201710187399A CN 106910032 B CN106910032 B CN 106910032B
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张立标
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Zhejiang Punctuation Information Technology Co ltd
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Shaoxing Biaodian Electronic Technology Co ltd
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Abstract

The invention relates to the technical field of construction engineering quality detection, in particular to a construction engineering quality detection supervision platform and a construction engineering quality detection supervision method, comprising the following steps: the first cloud computing platform: the system comprises a first cloud computing platform, a second cloud computing platform, a third cloud computing platform, a sample client, a sample verification client and a third cloud computing platform, wherein the first cloud computing platform is used for receiving national standard data of various sample tests in construction engineering; sampling client: the first cloud computing platform is connected with the first cloud computing platform and used for confirming sample information; sample testing client: the first cloud computing platform is connected with the first cloud computing platform and used for verifying sample information; the first cloud computing platform: and the first cloud computing platform is connected with the first cloud computing platform and is used for carrying out test and data analysis on the sample. The invention has strong practicability.

Description

Construction engineering quality detection supervision platform and method
Technical Field
The invention relates to the technical field of construction engineering quality detection, in particular to a construction engineering quality detection supervision platform and a construction engineering quality detection supervision method.
Background
In recent years, the construction industry management has been in informatization construction, and as an important means for engineering quality supervision, engineering quality detection and market standardization have been increasingly attracting attention from government authorities.
The state construction department and Zhejiang province issue files such as construction project quality detection management Specification, construction project quality detection management method, zhejiang province construction project quality detection management implementation method, and the like, and require strengthening the supervision of construction project detection business, ensuring the standardization and fairness of construction project detection business market, and promoting the healthy development of the construction industry.
However, since the detection market was opened, the detection unit changed from the former business unit and the national enterprise to the present private limited liability company, which also causes the following problems: 1. sample counterfeiting: the special staff is used as test blocks to manufacture false samples. 2. And (5) fake construction of a detection mechanism: the test personnel make false by privately falsifying the data and making a false report; some people buy reports with the notebook and counterfeits the data. 3, sample feeding unit counterfeiting: fake report and private seal detection.
In order to better promote the supervision, further promote engineering quality supervision standardization and standardization construction, the invention provides a real-time and dynamic supervision system for construction engineering quality detection, which is a current primary task.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a real-time and dynamic supervision platform and method for detecting and supervising the quality of construction engineering.
In order to achieve the above purpose, the present invention provides the following technical solutions: construction engineering quality detection supervision platform includes:
the first cloud computing platform: the system comprises a first cloud computing platform, a second cloud computing platform, a third cloud computing platform, a sample client, a sample verification client and a third cloud computing platform, wherein the first cloud computing platform is used for receiving national standard data of various sample tests in construction engineering;
sampling client: the first cloud computing platform is connected with the first cloud computing platform and used for confirming sample information;
sample testing client: the first cloud computing platform is connected with the first cloud computing platform and used for verifying sample information;
and a second cloud computing platform: and the first cloud computing platform is connected with the first cloud computing platform and is used for carrying out test and data analysis on the sample.
Further, the first cloud computing platform further includes a supervisory system, the supervisory system including:
the online delegation module: the method comprises the steps of generating an order with a bar code;
and a receiving module: for receiving sample information and data;
a first report generation module: for generating, auditing, and approving reports.
Further, the second cloud computing platform includes a detection system:
and (3) a test module: the method comprises the steps of testing a sample and generating test data;
loading an anti-counterfeiting two-dimensional code module: the method is used for adding the two-dimension code to the report to form a final effective report;
and an output module: for uploading test data.
Further, the test module comprises test equipment and a camera which is triggered and connected with the test equipment when the test equipment is started.
Further, the supervisory system also includes a query module.
The construction engineering quality detection and supervision method suitable for the platform comprises the following specific steps:
a entrusting: the construction unit self-service entrusts on the internet on the platform and prints the entrust with the bar code;
b, sampling: the sample sending unit and the proctoring unit sample together, a label with an encrypted two-dimension code is attached to the sample in advance, the proctoring unit photographs the sample for the first time through the sampling client, and simultaneously scans the bar code of the order and the two-dimension code on the sample, so that the order is bound with the sample and uploaded;
c, first receiving: the receiving module receives the two-dimensional code, the bar code and the first shot photo on the label;
d, sample feeding: the sample sending unit sends the sample to the detection mechanism;
and e, sample testing: the detection mechanism scans the two-dimensional code and the bar code on the label through the sample testing client, and photographs the sample for the second time and uploads the sample;
f, second receiving: the receiving module receives the two-dimensional code, the bar code and the second shot photo on the label;
g pushing: pushing bar code numbers on the first and second shot photos and order to a sampling client;
h, test: the detection mechanism scans a sample two-dimensional code through the test equipment to test the sample, automatically collects test data, test curves and anomalies in the test process, and the camera records and uploads a test process video;
i third receiving: the receiving module receives test data, test curves and anomalies in the test process, and the camera records test process videos;
j first report generation: comparing the test data with national standard data through a first report generation module, generating, auditing and approving a report, and uploading the report;
k fourth time of receiving: the receiving module receives the report and report data, and compares the report data with the order content with the sample test data;
l, loading an anti-counterfeiting two-dimensional code: by report reception, the platform adds the two-dimensional code to the report to become a final valid report.
Compared with the defects of the prior art, the technical scheme provided by the invention has the beneficial effects that: 1. the sample information (sample photo and order bar code), the sample checking client (sample photo and label two-dimensional code) and the test video are transmitted to the monitoring system in real time through the sampling client, so that the sample during sampling and the sample during test are ensured to be the same sample, and the generation of false samples is effectively prevented; 2. meanwhile, after the test is completed, test data, curves and reports are uploaded to the monitoring system at the first time, and the monitoring system generates a report with a two-dimensional code for inquiry, so that the test data, curves and reports are truly and reliably ensured, and the data and reports of a sample feeding unit and the detection mechanism are prevented from being privately used.
Drawings
Fig. 1 is a schematic block diagram of the structure of the present invention.
Fig. 2 is a flowchart of a construction engineering quality detection and supervision method in the present invention.
FIG. 3 is a schematic flow chart of the test delegated in the present invention.
Detailed Description
The invention is further described with reference to fig. 1-3.
As shown in fig. 1-3: construction engineering quality detection supervision platform includes:
first cloud computing platform 1: the system comprises a first cloud computing platform 1, a second cloud computing platform 3, a sample client 2, a sample verification client 3 and national standard data for inputting various sample tests in construction engineering, and receiving information and data fed back by the sample client 2, the sample verification client 3 and the first cloud computing platform 1;
sampling client 2 (sampling app): the system is connected with the first cloud computing platform 1 and is used for confirming sample information and uploading the sample information to the first cloud computing platform 1;
sample verification client 3 (sample verification app): the system is connected with the first cloud computing platform 1 and is used for verifying sample information and uploading the sample information to the first cloud computing platform 1;
second cloud computing platform 4: and the system is connected with the first cloud computing platform 1 and is used for testing and analyzing data of the sample and uploading the sample to the first cloud computing platform 1.
The first cloud computing platform 1 further comprises a supervisory system comprising:
the online delegation module: the method comprises the steps of generating an order with a bar code;
and a receiving module: for receiving sample information and data;
a first report generation module: for generating, auditing, and approving reports.
The second cloud computing platform 4 includes a detection system:
and (3) a test module: the method comprises the steps of testing a sample and generating test data;
loading an anti-counterfeiting two-dimensional code module: the method is used for adding the two-dimension code to the report to form a final effective report;
and an output module: for uploading test data.
And the monitoring system analyzes the newly added test data and detection report data in real time, so that the effective monitoring of the detection mechanism is realized.
The test module comprises test equipment and a camera which is triggered and connected when the test equipment is started, a sample is installed in the test equipment, once the test equipment starts to test, the camera is triggered to open, the whole test process is recorded, and the test equipment automatically forms a test number by scanning a two-dimensional code on the label.
The supervisory system further includes a query module.
The invention also comprises an external patrol client 5, wherein the external patrol client 5 (external patrol app) mainly shoots and processes illegal evidences of the on-site detection behaviors.
The inquiry system mainly comprises the functions of report record inquiry, detection report comprehensive inquiry, entrusting information inquiry, inspection project detection condition inquiry, qualification rate statistical analysis and the like, and on one hand, the real report can be obtained by scanning the two-dimensional code on the report through the WeChat platform, so that the report anti-counterfeiting function is realized; on the other hand, the inquiry module inputs conditions such as report date, report number, report category, project name, supervisory registration number, detection mechanism, detection category, etc., inquires about the detection report, and can check the detailed information (sample photo, entrusted content, collection curve, video, report, etc.) of the detection report.
The sample information (order number, bar code, sample photo, GPS position at sampling time and sampler information), the sample testing client 3 (sample two-dimension code, sample photo at sampling time and sample tester information) and the test video are transmitted to the monitoring system in real time by the sampling client 2, so that the sample at sampling time and the sample at test time are ensured to be the same sample, and false sample is effectively prevented; meanwhile, after the test is completed, test data, curves and reports are uploaded to the supervision system at the first time, the supervision system generates a report with two-dimension codes for inquiry, and the order bar code, the label two-dimension code and the test number are specific and unique, so that the test data, the curves and the reports are ensured to be real and reliable, and private data and reports of a sample sending unit and the detection mechanism are prevented.
To further ensure that the test data, curves and reports are authentic, the supervisory system further includes an anomaly intelligence analysis module by which: 1. the detection unit finds that the power supply is off on purpose or the detection unit is forced to exit from storage; 2. the same test number is acquired for a plurality of times; 3. the data collected automatically are modified; 4. the same report number has multiple copies; 5. the delegated content has a modification.
Meanwhile, the supervision system compares the received sample test data, curves and reports with national standard data of corresponding samples, and once an unqualified report appears, the report is pushed to supervision (through a sampling app) in the first time.
It should be noted that: in order to realize data resource sharing, data exchange between each system is realized between each client and two cloud computing platforms through interfaces.
Also note that: in the construction of the whole system, the advanced technology and the popular trend of the industry are comprehensively considered, the whole system is guaranteed to have good openness and integration, large load capacity is supported, the technology is prospective, and the popular development trend of the industry is met. The system construction process is mainly based on the following technical route: UML-based object-oriented design method: the UML object-oriented design approach can be run through each process of project from understanding the needs analysis, design, implementation, testing and configuration, and its respective model can help developers to better understand business processes and build a more reliable and more complete system model. Microsoft-based unified development platform: the application development and operation system of the system is realized based on a Microsoft NET system architecture.
The construction engineering quality detection and supervision method suitable for the platform is characterized by comprising the following specific steps:
a entrusting: the construction unit self-service entrusts on the internet on the platform and prints the entrust with the bar code;
b, sampling: the sample sending unit and the proctoring unit sample together, a label with an encrypted two-dimension code is attached to the sample in advance, the proctoring unit photographs the sample for the first time through the sampling client, and simultaneously scans the bar code of the order and the two-dimension code on the sample, so that the order is bound with the sample and uploaded;
c, first receiving: the receiving module receives the two-dimensional code, the bar code and the first shot photo on the label;
d, sample feeding: the sample sending unit sends the sample to the detection mechanism;
and e, sample testing: the detection mechanism scans the two-dimensional code and the bar code on the label through the sample testing client, and photographs the sample for the second time and uploads the sample;
f, second receiving: the receiving module receives the two-dimensional code, the bar code and the second shot photo on the label;
g pushing: pushing bar code numbers on the first and second shot photos and the order to the sampling client to confirm whether the photos are consistent;
h, test: the detection mechanism scans a sample two-dimensional code through the test equipment to test the sample, automatically collects test data, test curves and anomalies in the test process, and the camera records and uploads a test process video;
i third receiving: the receiving module receives test data, test curves and anomalies in the test process, and the camera records test process videos;
j first report generation: comparing the test data with national standard data through a first report generation module, generating, auditing and approving a report, converting the report into a report in a PDF format, and uploading the report;
k fourth time of receiving: the receiving module receives the report and report data, compares the report data with the order content and the sample test data, pushes the abnormal condition to remind the responsible person of the detection center, and the responsible person of the detection center explains the abnormal cause and pushes the abnormal condition to the supervision or the owner to give a processing opinion;
l, loading an anti-counterfeiting two-dimensional code: and through the fourth report receiving, adding the two-dimension code to the report in the PDF format by the platform to form a final effective report.
It should be noted that: because the two-dimensional code on the sample is encrypted, a tester only knows necessary test parameters and does not know the information of the entruster at all during the test, thereby realizing blind sample management.
The sample information (sample photo and order bar code), the sample testing client 3 (sample photo and label two-dimensional code) and the test video are transmitted to the monitoring system in real time through the sampling client 2, so that the sample during sampling and the sample during test are ensured to be the same sample, and the generation of false samples is effectively prevented; meanwhile, after the test is completed, test data, curves and reports are uploaded to the supervision system at the first time, the supervision system generates a report with two-dimension codes for inquiry, and the order bar code, the label two-dimension code and the test number are specific and unique, so that the test data, the curves and the reports are ensured to be real and reliable, and private data and reports of a sample sending unit and the detection mechanism are prevented.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the invention, but one skilled in the art can make common changes and substitutions within the scope of the technical solution of the present invention.

Claims (1)

1. The utility model provides a construction engineering quality detects supervision platform which characterized in that includes: the first cloud computing platform: the system comprises a first cloud computing platform, a second cloud computing platform, a sample testing client, a third cloud computing platform, a fourth cloud computing platform and a third cloud computing platform, wherein the first cloud computing platform is used for receiving the information and the data fed back by the first cloud computing platform; sampling client: the first cloud computing platform is connected with the first cloud computing platform and used for confirming sample information; sample testing client: the first cloud computing platform is connected with the first cloud computing platform and used for verifying sample information; and a second cloud computing platform: the first cloud computing platform is connected with the first cloud computing platform and is used for carrying out test and data analysis on the sample; the system also comprises an external patrol client, wherein the external patrol client photographs and processes illegal evidences of the on-site detection behaviors; the first cloud computing platform further includes a supervisory system, the supervisory system including: the online delegation module: the method comprises the steps of generating an order with a bar code; and a receiving module: for receiving sample information and data; a first report generation module: for generating, auditing, and approving reports; the second cloud computing platform includes a detection system: and (3) a test module: the method comprises the steps of testing a sample and generating test data; loading an anti-counterfeiting two-dimensional code module: the method is used for adding the two-dimension code to the report to form a final effective report; and an output module: the method is used for uploading test data; the test module comprises test equipment and a camera which is connected with the test equipment in a triggering way when the test equipment is started; the supervision system further comprises a query module; the sample photo and the order bar code of the sample information are confirmed through the sampling client, the sample photo and the label two-dimensional code of the sample testing client and the test video are transmitted to the monitoring system in real time, so that the sample in sampling and the sample in test are ensured to be the same sample; the monitoring system also comprises an abnormal intelligent analysis module, wherein the abnormal intelligent analysis module can be used for analyzing that a detection unit finds that the power supply is off on purpose or the monitoring unit exits forcibly and does not store the power supply; the same test number is acquired for a plurality of times; the data collected automatically are modified; the same report number has multiple copies; the entrusted content is modified;
the specific construction engineering quality detection and supervision steps are as follows: a entrusting: the construction unit self-service entrusts on the internet on the platform and prints the entrust with the bar code;
b, sampling: the sample sending unit and the proctoring unit sample together, a label with an encrypted two-dimension code is attached to the sample in advance, the proctoring unit photographs the sample for the first time through the sampling client, and simultaneously scans the bar code of the order and the two-dimension code on the sample, so that the order is bound with the sample and uploaded;
c, first receiving: the receiving module receives the two-dimensional code, the bar code and the first shot photo on the label;
d, sample feeding: the sample sending unit sends the sample to the detection mechanism;
and e, sample testing: the detection mechanism scans the two-dimensional code and the bar code on the label through the sample testing client, and photographs the sample for the second time and uploads the sample;
f, second receiving: the receiving module receives the two-dimensional code, the bar code and the second shot photo on the label;
g pushing: pushing bar code numbers on the first and second shot photos and order to a sampling client;
h, test: the detection mechanism scans a sample two-dimensional code through the test equipment to test the sample, automatically collects test data, test curves and anomalies in the test process, and the camera records and uploads a test process video;
i third receiving: the receiving module receives test data, test curves and anomalies in the test process, and the camera records test process videos;
j first report generation: comparing the test data with national standard data through a first report generation module, generating, auditing and approving a report, and uploading the report;
k fourth time of receiving: the receiving module receives the report and report data, and compares the report data with the order content with the sample test data;
l, loading an anti-counterfeiting two-dimensional code: by report reception, the platform adds the two-dimensional code to the report to become a final valid report.
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