An engineering quality inspection system

Abstract

This application relates to the field of engineering supervision technology, and in particular to an engineering quality inspection system, including inspection equipment for collecting inspection data and transmitting the inspection data to a data acquisition terminal; a business management platform for storing verification information and transmitting the corresponding engineering verification information to the data acquisition terminal upon receiving a call signal; the data acquisition terminal includes an engineering data inspection module; the engineering data inspection module is used to select inspection items; match the call signal sent to the business management platform according to the inspection items; obtain the corresponding engineering verification information; obtain the inspection data of the corresponding inspection equipment according to the inspection items; perform quality judgment on the inspection data according to the engineering verification information to obtain quality inspection results, supervise the engineering quality inspection process, and improve the reliability of the engineering quality inspection results.

Description

Technical Field

[0001] This application relates to the field of engineering supervision technology, and in particular to an engineering quality inspection system. Background Technology

[0002] At each stage of an engineering project, quality inspection is required. The core function of quality inspection is to ensure project quality. Through testing equipment, the quality status of the projected products can be obtained, determining whether the tested object meets quality standards. Quality inspection plays a vital role in ensuring project quality, providing data support, ensuring material quality, handling quality disputes, and dealing with quality accidents. However, current technology is affected by various factors such as personnel, cost, equipment, and the testing environment.

[0003] Current technology lacks effective regulatory methods for engineering testing. Problems include: some projects employing unqualified personnel to save on labor costs, undertaking a large volume of testing work with limited staff; using substandard testing equipment; and problems in the testing procedures by personnel, affecting the test results. These issues easily lead to deviations in the execution process and results of engineering testing, compromising the reliability of engineering quality testing outcomes. These problems need to be addressed. Summary of the Invention

[0004] To monitor the engineering quality testing process and improve the reliability of the testing results, this application provides an engineering quality testing system, employing the following technical solution:

[0005] In a first aspect, this application provides an engineering quality testing system, comprising:

[0006] Testing equipment is used to collect testing data and transmit the testing data to a data acquisition terminal;

[0007] The business management platform is used to store verification information and, upon receiving a call signal, transmits the corresponding project verification information to the data acquisition terminal.

[0008] The data acquisition terminal includes an engineering data detection module;

[0009] The engineering data inspection module is used to select inspection items; match the call signals to be sent to the business management platform according to the inspection items; obtain the corresponding engineering verification information; obtain the inspection data of the corresponding inspection equipment according to the inspection items; and perform quality judgment on the inspection data according to the engineering verification information to obtain the quality inspection results.

[0010] Preferably, the data acquisition terminal further includes:

[0011] The personnel verification module is used to obtain account information, match the call signal based on the account information, obtain the corresponding account verification information, verify the account information based on the account verification information, and obtain the first verification result.

[0012] Preferred options also include:

[0013] The personnel verification module is also used to obtain facial information when the first verification result is successful, to obtain the corresponding facial verification information by matching the facial information with the call signal, and to verify the facial information by verifying the facial information to obtain the second verification result.

[0014] The engineering data detection module is also used to select detection items if the second verification result is successful.

[0015] Preferably, the data acquisition terminal further includes:

[0016] The project location confirmation module is used to obtain project location information when a test item is selected, match the call signal according to the project location information to obtain the corresponding location verification information, verify the project location information according to the location verification information, and obtain the third verification result.

[0017] Preferred options also include:

[0018] The engineering data inspection module is also used to match the corresponding inspection equipment according to the inspection items if the third verification result is successful.

[0019] Preferably, the data acquisition terminal further includes:

[0020] The equipment detection module is used to obtain the usage status information and calibration verification information of the corresponding detection equipment when a matching detection equipment is found. Based on the usage status information and calibration verification information, it matches the call signal to obtain the corresponding equipment verification information. Based on the equipment verification information, it verifies the usage status information and calibration verification information to obtain the fourth verification result.

[0021] Preferred options also include:

[0022] The engineering data inspection module is also used to obtain engineering verification information as springback verification information when the selected inspection item is springback; to obtain an image of the object to be inspected, and to perform inspection process analysis on the image of the object to be inspected based on the springback verification information to obtain first inspection planning information for auxiliary inspection; to obtain springback data, and to perform springback quality analysis on the springback data based on the first inspection planning information to obtain the first inspection result.

[0023] Preferred options also include:

[0024] The engineering data detection module is also used to obtain engineering verification information as rebar distance verification information when the selected detection item is rebar distance; to obtain an image of the object to be detected, and to perform detection process analysis on the image of the object to be detected based on the rebar distance verification information to obtain second detection planning information for auxiliary detection; to obtain rebar distance data, and to perform rebar distance analysis on the rebar distance data based on the second detection planning information to obtain a second detection result.

[0025] Preferred options also include:

[0026] The engineering data detection module is also used to obtain engineering verification information as floor slab thickness verification information when the selected detection item is floor slab thickness; to obtain an image of the object to be detected, and to perform detection process analysis on the image of the object to be detected based on the floor slab thickness verification information to obtain third detection planning information for auxiliary detection; to obtain floor slab thickness data, and to perform floor slab thickness analysis on the rebar distance data based on the third detection planning information to obtain the third detection result.

[0027] Secondly, this application provides an engineering quality testing method, including:

[0028] Select the testing items;

[0029] Match the call signal to be sent to the business management platform based on the detection item;

[0030] Obtain the corresponding project verification information;

[0031] Obtain the test data from the corresponding testing equipment based on the test items; make a quality judgment on the test data based on the engineering verification information, and obtain the quality test results.

[0032] Preferred options also include:

[0033] Obtain account information, match the call signal based on the account information, obtain the corresponding account verification information, verify the account information based on the account verification information, and obtain the first verification result.

[0034] Preferred options also include:

[0035] If the first verification result is successful, obtain the facial information, match the facial information with the call signal to obtain the corresponding facial verification information, and verify the facial information according to the facial verification information to obtain the second verification result;

[0036] If the second verification result is successful, select the test items.

[0037] Preferred options also include:

[0038] When a test item is selected, the project location information is obtained. The call signal is matched according to the project location information to obtain the corresponding location verification information. The project location information is then verified according to the location verification information to obtain the third verification result.

[0039] Preferred options also include:

[0040] If the third verification result is successful, the corresponding testing equipment will be matched according to the testing items.

[0041] Preferred options also include:

[0042] When a corresponding testing device is matched, the usage status information and calibration verification information of the testing device are obtained. The call signal is matched according to the usage status information and calibration verification information to obtain the corresponding device verification information. The usage status information and calibration verification information are verified according to the device verification information to obtain the fourth verification result.

[0043] Preferred options also include:

[0044] When the selected inspection item is springback, the engineering verification information is obtained as springback verification information; an image of the object to be inspected is obtained, and the inspection process is analyzed based on the springback verification information to obtain the first inspection planning information for auxiliary inspection; springback data is obtained, and springback quality analysis is performed based on the first inspection planning information to obtain the first inspection result.

[0045] Preferred options also include:

[0046] When the selected inspection item is the rebar distance item, the engineering verification information is obtained as the rebar distance verification information; the image of the object to be inspected is obtained, and the inspection process is analyzed based on the rebar distance verification information to obtain the second inspection planning information for auxiliary inspection; the rebar distance data is obtained, and the rebar distance data is analyzed based on the second inspection planning information to obtain the second inspection result.

[0047] Preferred options also include:

[0048] When the selected inspection item is the floor slab thickness, the engineering verification information is obtained as the floor slab thickness verification information; the image of the object to be inspected is obtained, and the inspection process is analyzed based on the floor slab thickness verification information to obtain the third inspection planning information for auxiliary inspection; the floor slab thickness data is obtained, and the floor slab thickness is analyzed based on the rebar distance data according to the third inspection planning information to obtain the third inspection result.

[0049] Thirdly, this application provides a data acquisition terminal device, including a memory and a processor, wherein the memory stores a computer program and the processor is configured to run the computer program to perform the engineering quality inspection method as described above.

[0050] Fourthly, this application provides a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the engineering quality inspection method as described above when it is run.

[0051] In summary, compared with the prior art, the beneficial effects of the technical solution provided in this application include at least the following:

[0052] This application connects to a business management platform via a data acquisition terminal. When a testing item is selected on the data acquisition terminal, the terminal connects to the corresponding testing equipment. The business management platform transmits corresponding verification information to the engineering data testing module of the data acquisition terminal based on the call status. After confirming the engineering verification information, the engineering data testing module acquires the testing data transmitted by the testing equipment, performs quality judgment and analysis on the testing data based on the engineering verification information, and obtains the final quality testing result. Through this engineering quality testing system, the engineering quality testing process can be monitored, and the operation process and testing data can be analyzed and judged based on the verification information to obtain more accurate results and improve the reliability of the engineering quality testing results. Attached Figure Description

[0053] Figure 1 This is a schematic diagram of a module of an engineering quality testing system described in an embodiment of this application.

[0054] Figure 2 This is a schematic diagram of the data acquisition terminal module described in the embodiments of this application.

[0055] Figure 3 This is a schematic flowchart of an engineering quality testing method described in an embodiment of this application.

[0056] Figure 4 This is a schematic diagram of the first process of pre-detection information verification as described in the embodiments of this application.

[0057] Figure 5 This is a schematic diagram of the second process for pre-detection information verification as described in the embodiments of this application.

[0058] Figure 6 This is a schematic diagram of the quality judgment process described in the embodiments of this application.

[0059] Explanation of reference numerals in the attached figures:

[0060] 1. Testing equipment; 2. Business management platform; 3. Data acquisition terminal. Detailed Implementation

[0061] The following combination Figures 1-6 The present application will be described in further detail below. The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting.

[0062] Reference Figure 1 and 2 The engineering quality testing system involved in this application specifically includes:

[0063] Testing equipment is used to collect testing data and transmit the testing data to a data acquisition terminal;

[0064] The business management platform is used to store verification information and, upon receiving a call signal, transmits the corresponding project verification information to the data acquisition terminal.

[0065] The data acquisition terminal includes an engineering data detection module;

[0066] The engineering data inspection module is used to select inspection items; match the call signals to be sent to the business management platform according to the inspection items; obtain the corresponding engineering verification information; obtain the inspection data of the corresponding inspection equipment according to the inspection items; and perform quality judgment on the inspection data according to the engineering verification information to obtain the quality inspection results.

[0067] Specifically, the data acquisition terminal of this application connects to the business management platform and the testing equipment. When engineering quality testing is required, the testing item is selected through the data acquisition terminal, and the terminal connects to the corresponding testing equipment. After connecting to the testing equipment, the engineering data testing module of the data acquisition terminal sends a call signal to the business management platform. Upon receiving the call signal, the platform, based on the call details, retrieves the stored verification information and transmits it to the engineering data testing module. After confirming the engineering verification information, the engineering data testing module obtains the testing data transmitted by the testing equipment, performs quality judgment and analysis on the data based on the verification information, and obtains the final quality testing result.

[0068] The data acquisition terminal of this application is used for data interconnection between testing equipment and the business management platform, realizing the automatic acquisition and transmission of testing data. The data acquisition terminal typically uses a mobile phone or tablet as a carrier, utilizing the mobile terminal's Bluetooth, WIFI, 4G, or 5G communication functions to achieve data communication with the testing equipment and data interaction with the business management platform. This application, through an engineering quality testing system, enables the monitoring of the engineering quality testing process, making the process intelligent and portable, improving the integrity and timeliness of testing data, standardizing engineering quality testing behavior, and analyzing and judging the operational process and testing data based on verification information to obtain more accurate results and improve the reliability of engineering quality testing results.

[0069] As one implementation method, the data acquisition terminal also includes:

[0070] The personnel verification module is used to obtain account information, match the call signal based on the account information, obtain the corresponding account verification information, verify the account information based on the account verification information, and obtain the first verification result.

[0071] Specifically, the data acquisition terminal in this embodiment also includes a personnel verification module, which is the first login step in the engineering quality inspection process. For example, the operator needs to open the data acquisition terminal's APP application and enter the account and password to be verified, i.e., account information. The terminal's engineering data inspection module obtains the operator's operating permissions and inspection qualification compliance from the business management platform, ensuring that the operator has the necessary operating permissions and that their qualifications meet the requirements. After successful operator identity verification, the business management platform obtains a list of the operator's inspection qualifications, thus obtaining the first verification result.

[0072] In this embodiment of the application, the first verification result may be either correct or incorrect. If the first verification result is correct, i.e., the entered account and password match the account and password stored in the business management platform, the next verification step is executed. If the first verification result is incorrect, this process needs to be re-verified.

[0073] One implementation method involves identifying account information errors, including incorrect account number and incorrect password. This error is determined by comparing the entered information with the obtained verification information.

[0074] As one implementation method, it also includes:

[0075] The personnel verification module is also used to obtain facial information when the first verification result is successful, to obtain the corresponding facial verification information by matching the facial information with the call signal, and to verify the facial information by verifying the facial information to obtain the second verification result.

[0076] The engineering data detection module is also used to select detection items if the second verification result is successful.

[0077] Specifically, the data acquisition terminal in this embodiment includes a personnel verification module. After logging in and entering verification account information in the first step, the personnel verification module verifies the operator's facial information. Facial information is acquired through the data acquisition terminal's camera, obtaining a facial image. At this time, the terminal's engineering data detection module obtains the operator's operating permissions and detection qualification compliance status from the business management platform, such as obtaining corresponding facial image verification information. Feature comparison is performed between the acquired image and the facial verification image to obtain a comparison result, ensuring that the operator has operating permissions and that their qualifications meet the requirements. After successful operator identity verification, the system obtains a list of the operator's detection qualifications from the business management platform, thus obtaining a second verification result.

[0078] In this embodiment of the application, the second verification result may show cases where the facial features are the same or different. If the second verification result is the same, that is, the matching degree between the identified face and the verified face features reaches a certain parameter or higher, the next verification step is executed. If the second verification result is incorrect, this process needs to be re-verified.

[0079] One implementation method involves reverting to the first step to re-verify account information when the facial recognition system reaches a certain number of recognition errors, such as 10 or 15 times.

[0080] As one implementation method, the data acquisition terminal also includes:

[0081] The project location confirmation module is used to obtain project location information when a test item is selected, match the call signal according to the project location information to obtain the corresponding location verification information, verify the project location information according to the location verification information, and obtain the third verification result.

[0082] Specifically, the data acquisition terminal in this embodiment includes an engineering location confirmation module. This module acquires the engineering coordinates in real time, i.e., the engineering location information, and compares it with the preset engineering coordinates on the business management platform, i.e., it compares and verifies the location with the verification information. For example, if the location deviation exceeds 200 meters, subsequent business operations for the project are prohibited, ensuring that the testing is conducted at the project site. When coordinate positioning has more stringent requirements, RTK measurement equipment can be used to obtain high-precision location information, improving the authenticity and representativeness of the tested samples.

[0083] In this embodiment of the application, if the third verification result is correct, the engineering quality inspection process proceeds to the next step of the workflow.

[0084] As one implementation method, it also includes:

[0085] The engineering data inspection module is also used to match the corresponding inspection equipment according to the inspection items if the third verification result is successful.

[0086] Specifically, this application embodiment prohibits the selection of testing items and parameters for which operators lack qualifications, preventing operators from conducting testing beyond their authorized capabilities. Testing items and equipment are selected only after successful verification. By establishing a personnel identity verification process, the standardization of the engineering quality testing process is improved, thereby enhancing the accuracy of the test results.

[0087] As one implementation method, the data acquisition terminal also includes:

[0088] The equipment detection module is used to obtain the usage status information and calibration verification information of the corresponding detection equipment when a matching detection equipment is found. Based on the usage status information and calibration verification information, it matches the call signal to obtain the corresponding equipment verification information. Based on the equipment verification information, it verifies the usage status information and calibration verification information to obtain the fourth verification result.

[0089] Specifically, in this embodiment, the device's usage status and calibration information are obtained from the business management platform based on its unique identifier, and analyzed to obtain the fourth verification result. If the device is faulty, out of service, or past its calibration validity period, its use is prohibited. When the selected testing device is in a normal and usable state, the data acquisition terminal's APP software can connect to the testing device via Bluetooth communication module and automatically match the data parsing mechanism compatible with that device.

[0090] In this application embodiment, the communication adaptation between the APP software and the testing equipment is carried out in the form of a plug-in package. The adapted equipment includes a pile foundation static load tester, a high and low strain tester, a floor slab thickness tester, a rebar scanner, an appearance dimension measuring instrument, and a rebound hammer, etc.

[0091] If the fourth verification result is normal, the engineering data detection module matches the corresponding call signal according to the selected detection item, and sends the call signal to the business management platform to retrieve the corresponding stored information.

[0092] As one implementation method, it also includes:

[0093] The engineering data inspection module is also used to obtain engineering verification information as springback verification information when the selected inspection item is springback; to obtain an image of the object to be inspected, and to perform inspection process analysis on the image of the object to be inspected based on the springback verification information to obtain first inspection planning information for auxiliary inspection; to obtain springback data, and to perform springback quality analysis on the springback data based on the first inspection planning information to obtain the first inspection result.

[0094] Specifically, in this embodiment, after the engineering data detection module confirms that the detection item and detection equipment are related to the rebound item, the engineering data detection module matches the corresponding rebound verification information according to the item; acquires a standard image of the object to be tested, i.e., the image of the object to be tested, evaluates the object to be tested, analyzes which points need to be rebounded based on the image and the rebound verification information, and outputs the first detection planning information to the data acquisition terminal for the operator's reference. The first detection planning information is planning information, such as images marked with guide points and guidance instructions. The module acquires the rebound data transmitted from the detection equipment, processes the rebound data according to the rebound verification information, judges the rebound result, and obtains the first detection result.

[0095] The rebound verification information in this embodiment specifically includes a rebound verification table and corresponding table description information. The object image is annotated in the form of a table and table description to obtain a guidance image, namely the first detection planning information.

[0096] The image of the object to be inspected is the initial image obtained by the operator based on the instruction information. The engineering data inspection module will judge whether the image of the object to be inspected meets the standard based on the instruction information. If it meets the standard, the image of the object to be inspected will be annotated to obtain the guidance image information and the image guidance instruction information.

[0097] The image guidance information for the first detection planning information includes:

[0098] The default is a component to be tested, and the component age is the test date minus the pouring date;

[0099] Each build has 10 test areas by default, and you can add or remove them. The addition or removal operation will provide multiple options. If the rebound value of any test point has been recorded in the test area, you will be prompted before you can add or remove it.

[0100] Each test area provides 16 data entry points. The rebound values ​​are all two-digit integers. To facilitate operation, the rebound verification table in this application embodiment can automatically jump to the next test point after entering a two-digit value at each test point. After entering the data of the 16th test point, it can automatically jump to the first test point of the next test area until the rebound data entry of all test areas is completed.

[0101] Carbonization depth was measured three times in each test area. The single carbonization depth value was accurate to 0.25 mm, and the average carbonization depth was the arithmetic mean of the three single values, accurate to 0.5 mm.

[0102] Carbonization depth does not need to be measured in all test areas, but it should be measured in at least 30% of the component test areas. If carbonization depth is not measured in all test areas, the average carbonization depth needs to be calculated. The average carbonization depth is the arithmetic mean of the calculated individual values, accurate to 0.5 mm. If the range of the average carbonization depth of each test area is greater than 2.0 mm, a message will be displayed saying "The range of carbonization depth values ​​is greater than 2.0 mm, and the carbonization depth value needs to be measured separately in each test area". In this case, the average carbonization depth should not be calculated. If the carbonization depth is measured in all test areas, the average carbonization depth is not calculated.

[0103] The average rebound value is equal to the arithmetic mean of the remaining 10 measuring points after removing the three maximum and three minimum values, accurate to 0.1.

[0104] The test angle is available in options such as 90°, 60°, 45°, 30°, 0°, -30°, -45°, -60° and -90°, with compensation corrections made according to different test angles;

[0105] The inspection surface is available in various options, such as the side, top, and bottom surfaces;

[0106] The springback value correction is as follows: the angle correction value needs to be obtained by looking up the correction table based on the average springback value and the test angle. 0° represents a horizontal test and no angle correction is required. Empty values ​​are calculated as '0'. After angle correction, the springback value is the sum of the average springback value and the angle correction value.

[0107] The detection surface correction value needs to be obtained by matching the rebound value after angle correction and the side correction table of the detection surface. The 'side' does not need to be corrected. Empty values ​​are calculated as '0'. The rebound value after side correction is the sum of the rebound value after angle correction and the side correction value.

[0108] The strength conversion value of the test area before correction is obtained by converting the rebound value after the side correction and the carbonization depth value according to the table. If the carbonization depth is not measured in all test areas, the average carbonization depth is taken; if the carbonization depth is measured in all test areas, the average carbonization depth of each test area is taken. The strength corresponding to the rebound value not listed in the table is obtained by interpolation, accurate to 0.1 MPa.

[0109] In this embodiment, the image of the object to be inspected is annotated according to the image guidance information, and the operator is guided to perform the corresponding operations and data input, so as to obtain accurate rebound data. It can also know the required angle of the operator's inspection process. Based on the angle information input by the operator and the rebound data input by the device, the rebound data is corrected to obtain the final accurate rebound data.

[0110] In this embodiment of the application, after obtaining the rebound data, an evaluation is performed based on the pre-defined first inspection plan information, the inspection results of the current project are analyzed, it is determined whether the rebounding component is compliant, and the corresponding parameters are obtained.

[0111] In this embodiment of the application, when the first detection result is obtained, the engineering data detection module uploads the data to the platform for storage.

[0112] As one implementation method, it also includes:

[0113] The engineering data detection module is also used to obtain engineering verification information as rebar distance verification information when the selected detection item is rebar distance; to obtain an image of the object to be detected, and to perform detection process analysis on the image of the object to be detected based on the rebar distance verification information to obtain second detection planning information for auxiliary detection; to obtain rebar distance data, and to perform rebar distance analysis on the rebar distance data based on the second detection planning information to obtain a second detection result.

[0114] Specifically, in this embodiment, after the engineering data detection module confirms that the detection item and detection equipment are related to the rebar distance item, the engineering data detection module matches the corresponding rebar distance verification information according to the item; acquires a standard image of the object to be tested, i.e., the image of the object to be tested, evaluates the object to be tested, analyzes which points need to be measured based on the image and rebar distance information, and outputs the second detection planning information to the data acquisition terminal for the operator's reference. The second detection planning information is planning information, such as images marked with guide points and guidance instructions. The module also acquires the rebar distance data transmitted from the detection equipment, processes the rebar distance data according to the rebar distance verification information, judges the rebar distance result, and obtains the second detection result.

[0115] The rebar distance verification information in this embodiment specifically includes a rebar distance verification table and corresponding table description information. The object image is annotated in the form of a table and table description to obtain a guidance image, namely the second detection planning information.

[0116] The image of the object to be inspected is the initial image obtained by the operator based on the instruction information. The engineering data inspection module will judge whether the image of the object to be inspected meets the standard based on the instruction information. If it meets the standard, the image of the object to be inspected will be annotated to obtain the guidance image information and the image guidance instruction information.

[0117] The image guidance information for the second detection planning information includes:

[0118] Electromagnetic induction method is used to detect rebar in the area marked in the guiding image information. Each rebar needs to be detected by an instrument. When the instrument detects a rebar, rays in four directions will appear. These rays are recorded and the four points are connected to determine the location of one of the rebar sub-positions.

[0119] Next, check along the vertical or horizontal direction of the rebar location to obtain another rebar location. Connect the two rebar locations to get the rebar location.

[0120] The number of builds is not fixed and can be added freely by the operator. Each build typically measures 6 intervals.

[0121] The accuracy of the design reinforcement spacing and the actual measured value of the reinforcement spacing should be 1mm.

[0122] The maximum and minimum values ​​of the rebar spacing are the maximum and minimum values ​​among all individual values, accurate to 1 mm;

[0123] The average value of the rebar spacing is the arithmetic mean of all individual values, accurate to 1 mm.

[0124] This application embodiment annotates the image of the object to be inspected based on the image guidance information, and guides the operator to perform corresponding operations and data entry, thereby obtaining accurate rebar distance data. Because the information needs to be processed and entered according to the guidance steps, it is possible to clearly analyze whether the error in the information entered by the operator before and after exceeds the preset range. If it exceeds the range, a re-inspection is promptly notified to obtain the final accurate rebar distance data.

[0125] In the case of obtaining the second detection result in this embodiment, the engineering data detection module uploads the data to the platform for storage.

[0126] As one implementation method, it also includes:

[0127] The engineering data detection module is also used to obtain engineering verification information as floor slab thickness verification information when the selected detection item is floor slab thickness; to obtain an image of the object to be detected, and to perform detection process analysis on the image of the object to be detected based on the floor slab thickness verification information to obtain third detection planning information for auxiliary detection; to obtain floor slab thickness data, and to perform floor slab thickness analysis on the rebar distance data based on the third detection planning information to obtain the third detection result.

[0128] Specifically, in this embodiment, after the engineering data detection module confirms that the detection item and equipment are related to the floor slab thickness, the engineering data detection module matches the corresponding floor slab thickness verification information according to the item; acquires a standard image of the object to be tested, i.e., the image of the object to be tested; evaluates the object to be tested; analyzes which points need to be tested for floor slab thickness based on the image and the floor slab thickness verification information; and outputs the third detection planning information to the data acquisition terminal for the operator's reference. The third detection planning information is planning information, such as images with marked guide points and guidance instructions. The module also acquires the floor slab thickness data transmitted from the detection equipment, processes the floor slab thickness data according to the floor slab thickness verification information, and determines the floor slab thickness result, thus obtaining the third detection result.

[0129] The floor slab thickness verification information in this embodiment specifically includes a floor slab thickness verification table and corresponding table description information. The object image is annotated in the form of a table and table description to obtain a guidance image, namely the third detection planning information.

[0130] The image of the object to be inspected is the initial image obtained by the operator based on the instruction information. The engineering data inspection module will judge whether the image of the object to be inspected meets the standard based on the instruction information. If it meets the standard, the image of the object to be inspected will be annotated to obtain the guidance image information and the image guidance instruction information.

[0131] The image guidance information for the third detection planning information includes:

[0132] Based on the total input quantity, confirm the sampling quantity. For non-cantilever slab components, select 2% of the total number of components, but not less than 5 components, for inspection, and obtain the corresponding number of guidance image information and explanatory information.

[0133] 10% of the number of cantilever slab components, but no less than 20 components, are randomly selected for inspection to obtain corresponding guidance image information and explanatory information;

[0134] Based on the type of testing plate, determine the testing location, mark it on the guide image information, and determine the direction perpendicular to the axis of the tested rebar as the test direction;

[0135] For one-way slabs, the short side direction is determined as the most unfavorable position for the reinforcing steel bars based on the direction parallel to the long side.

[0136] For two-way slabs, the most unfavorable position for testing the bottom reinforcing bars is determined by identifying the location of the bottom reinforcing bars.

[0137] Based on the pre-matching data, the operator is guided to input the diameter and spacing of the reinforcing bars into the equipment;

[0138] During the preheating and zeroing phases, the device probe needs to be kept away from the area of ​​the metal object marked in the guiding image information;

[0139] Six bottom bars were selected at the most unfavorable bar location, and three locations were tested on each bottom bar, with each location tested twice.

[0140] The difference between two thickness values ​​should not exceed 1mm, and the average of the two test data should be taken as the protective layer thickness value at the corresponding position.

[0141] The average of the protective layer thickness values ​​at the three locations is the protective layer thickness value of a single bottom reinforcement bar;

[0142] Each component is typically measured at 3 to 5 points;

[0143] The design value and several measured values ​​of the floor slab thickness must be accurate to 1 mm;

[0144] The maximum floor slab thickness is the maximum of all measured values, accurate to 1 mm.

[0145] The minimum floor slab thickness is the minimum of all measured values, accurate to 1 mm.

[0146] The average floor slab thickness is the arithmetic mean of all measured values, accurate to 1 mm.

[0147] The qualified quantity is the average number of components that meet the requirements;

[0148] The pass rate is calculated by dividing the number of qualified components by the number of components multiplied by 100, accurate to 0.1%.

[0149] A pass rate of ≥80% in the initial test is considered to meet the standard requirements. A pass rate of <80% but ≥70% is considered to fail to meet the standard requirements and should be retested. A pass rate of <70% is considered to fail to meet the standard requirements.

[0150] If the overall pass rate of the initial and re-inspections is ≥80% during the re-inspection, then the re-inspection meets the standard requirements.

[0151] If the combined pass rate of the initial and re-inspections is less than 80% during the re-inspection, then the re-inspection does not meet the standard requirements.

[0152] This application embodiment assists operators in analyzing and selecting unfavorable locations and detection points based on output guidance image information and image guidance description information, which are usually obtained through historical data modeling and analysis.

[0153] This application embodiment annotates the image of the object to be inspected based on the image guidance information, and guides the operator to perform corresponding operations and data entry, thereby obtaining accurate floor slab thickness data. Because the information needs to be processed and entered according to the guidance steps, it is possible to clearly analyze whether the error in the information entered by the operator before and after exceeds the preset range. If it exceeds the range, a re-inspection is promptly notified to obtain the final accurate floor slab thickness data.

[0154] In the case of obtaining the third detection result in this embodiment, the engineering data detection module uploads the data to the platform for storage.

[0155] Reference Figure 3 This application provides an engineering quality testing method, comprising:

[0156] Step S1: Select the test items;

[0157] Step S2: Match the call signal to be sent to the business management platform according to the detection item;

[0158] Step S3: Obtain the corresponding project verification information;

[0159] Step S4: Obtain the test data of the corresponding testing equipment according to the test items; make a quality judgment on the test data according to the engineering verification information to obtain the quality test results.

[0160] Reference Figure 4 As one implementation method, it also includes:

[0161] Step S101: Obtain account information, match the call signal according to the account information, obtain the corresponding account verification information, verify the account information according to the account verification information, and obtain the first verification result.

[0162] As one implementation method, it also includes:

[0163] Step S102: If the first verification result is successful, obtain the face information, obtain the corresponding face verification information according to the face information matching call signal, verify the face information according to the face verification information, and obtain the second verification result.

[0164] Step S103: If the second verification result is successful, select the test item.

[0165] As one implementation method, it also includes:

[0166] Step S104: When a test item is selected, obtain the engineering location information, match the call signal according to the engineering location information, obtain the corresponding location verification information, verify the engineering location information according to the location verification information, and obtain the third verification result.

[0167] Reference Figure 5 As one implementation method, it also includes:

[0168] Step S105: If the third verification result is successful, match the corresponding testing equipment according to the testing items.

[0169] As one implementation method, it also includes:

[0170] Step S106: When a corresponding testing device is matched, obtain the usage status information and calibration verification information of the testing device, match the call signal according to the usage status information and calibration verification information, obtain the corresponding device verification information, and verify the usage status information and calibration verification information according to the device verification information to obtain the fourth verification result.

[0171] Reference Figure 6 As one implementation method, it also includes:

[0172] Step S401: When the selected inspection item is springback, obtain the engineering verification information as springback verification information; obtain the image of the object to be inspected, and perform inspection process analysis on the image of the object to be inspected based on the springback verification information to obtain the first inspection planning information for auxiliary inspection; obtain the springback data, and perform springback quality analysis on the springback data based on the first inspection planning information to obtain the first inspection result.

[0173] As one implementation method, it also includes:

[0174] Step S402: When the selected inspection item is the rebar distance item, obtain the engineering verification information as the rebar distance verification information; obtain the image of the object to be inspected, and perform inspection process analysis on the image of the object to be inspected based on the rebar distance verification information to obtain the second inspection planning information for auxiliary inspection; obtain the rebar distance data, and perform rebar distance analysis on the rebar distance data based on the second inspection planning information to obtain the second inspection result.

[0175] As one implementation method, it also includes:

[0176] Step S403: When the selected inspection item is the floor slab thickness, obtain the engineering verification information as the floor slab thickness verification information; obtain the image of the object to be inspected, and perform inspection process analysis on the image of the object to be inspected based on the floor slab thickness verification information to obtain the third inspection planning information for auxiliary inspection; obtain the floor slab thickness data, and perform floor slab thickness analysis on the rebar distance data based on the third inspection planning information to obtain the third inspection result.

[0177] This application provides a data acquisition terminal device, including a memory and a processor. The memory stores a computer program, and the processor is configured to run the computer program to perform the engineering quality inspection method as described above.

[0178] This application provides a computer-readable storage medium storing a computer program, wherein the computer program is configured to execute the engineering quality inspection method described above when it is run.

[0179] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the device and product described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0180] In the several embodiments provided in this application, it should be understood that the disclosed methods, systems, apparatus and program products can be implemented in other ways.

[0181] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0182] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. An engineering quality inspection system, characterized in that, include: Testing equipment is used to collect testing data and transmit the testing data to a data acquisition terminal; The business management platform is used to store verification information and, upon receiving a call signal, transmits the corresponding project verification information to the data acquisition terminal. The data acquisition terminal includes an engineering data detection module; The engineering data inspection module is used to select inspection items; match the call signals sent to the business management platform according to the inspection items; obtain the corresponding engineering verification information; obtain the inspection data of the corresponding inspection equipment according to the inspection items; and perform quality judgment on the inspection data according to the engineering verification information to obtain the quality inspection results. The engineering data detection module is also used to obtain the engineering verification information as the springback verification information when the selected detection item is the springback item; Acquire an image of the object to be detected, and perform a detection process analysis on the image of the object to be detected based on the bounce check information to obtain the first detection planning information for auxiliary detection; Determine the carbonization depth value of the survey area; Then, calculate the average rebound value based on the first detection planning information; And determine the springback value after angle correction by referring to the correction table based on the average springback value and the test angle; determine the springback value after side correction by referring to the springback value after angle correction and the side correction table. Based on the rebound value after lateral correction, combined with the carbonization depth value, the strength conversion value of the test area before correction is obtained, and the rebound data is determined. Acquire rebound data, perform rebound quality analysis on the rebound data based on the first detection planning information, and obtain the first detection result.

2. The engineering quality inspection system according to claim 1, characterized in that, The data acquisition terminal also includes: The personnel verification module is used to obtain account information, match the call signal based on the account information, obtain the corresponding account verification information, verify the account information based on the account verification information, and obtain the first verification result.

3. The engineering quality inspection system according to claim 2, characterized in that, Also includes: The personnel verification module is also used to obtain facial information when the first verification result is successful, to obtain the corresponding facial verification information by matching the facial information with the call signal, and to verify the facial information by verifying the facial information to obtain the second verification result. The engineering data detection module is also used to select detection items if the second verification result is successful.

4. The engineering quality inspection system according to claim 3, characterized in that, The data acquisition terminal also includes: The project location confirmation module is used to obtain project location information when a test item is selected, match the call signal according to the project location information to obtain the corresponding location verification information, verify the project location information according to the location verification information, and obtain the third verification result.

5. The engineering quality inspection system according to claim 4, characterized in that, Also includes: The engineering data inspection module is also used to match the corresponding inspection equipment according to the inspection items if the third verification result is successful.

6. The engineering quality inspection system according to claim 5, characterized in that, The data acquisition terminal also includes: The equipment detection module is used to obtain the usage status information and calibration verification information of the corresponding detection equipment when a matching detection equipment is found. Based on the usage status information and calibration verification information, it matches the call signal to obtain the corresponding equipment verification information. Based on the equipment verification information, it verifies the usage status information and calibration verification information to obtain the fourth verification result.

7. The engineering quality inspection system according to claim 1, characterized in that, Also includes: The engineering data detection module is also used to obtain engineering verification information as rebar distance verification information when the selected detection item is rebar distance. Acquire an image of the object to be inspected, perform inspection process analysis on the image of the object to be inspected based on the rebar distance verification information, and obtain second inspection planning information for auxiliary inspection; acquire rebar distance data, perform rebar distance analysis on the rebar distance data based on the second inspection planning information, and obtain second inspection results.

8. The engineering quality testing system according to claim 1, characterized in that, Also includes: The engineering data detection module is also used to obtain engineering verification information as floor slab thickness verification information when the selected detection item is floor slab thickness. Acquire images of the object to be inspected, and perform inspection process analysis on the images of the object to be inspected based on the floor slab thickness verification information to obtain third inspection planning information for auxiliary inspection; Obtain floor slab thickness data, analyze the floor slab thickness based on the rebar spacing data according to the third inspection planning information, and obtain the third inspection results.

9. A method for testing engineering quality, characterized in that, The system applied to any one of claims 1-8 comprises: Select the testing items; Match the call signal to be sent to the business management platform based on the detection item; Obtain the corresponding project verification information; Obtain the test data from the corresponding testing equipment based on the testing items; The quality of the test data is judged based on the engineering verification information to obtain the quality test results; When the selected test item is the rebound test item, the obtained engineering verification information is the rebound verification information; Acquire an image of the object to be detected, and perform a detection process analysis on the image of the object to be detected based on the bounce check information to obtain the first detection planning information for auxiliary detection; Determine the carbonization depth of the test area; calculate the average rebound value based on the first detection plan information; determine the rebound value after angle correction by looking up the correction table based on the average rebound value and the test angle; determine the rebound value after side correction by looking up the rebound value after angle correction and the side correction table; based on the rebound value after side correction and the carbonization depth value, obtain the strength conversion value of the test area before correction, and determine the rebound data. Acquire rebound data, perform rebound quality analysis on the rebound data based on the first detection planning information, and obtain the first detection result.

10. The engineering quality testing method according to claim 9, characterized in that, Also includes: Obtain account information, match the call signal based on the account information, obtain the corresponding account verification information, verify the account information based on the account verification information, and obtain the first verification result.

11. The engineering quality testing method according to claim 10, characterized in that, Also includes: If the first verification result is successful, obtain the facial information, match the facial information with the call signal to obtain the corresponding facial verification information, and verify the facial information according to the facial verification information to obtain the second verification result; If the second verification result is successful, select the test items.

12. The engineering quality testing method according to claim 11, characterized in that, Also includes: When a test item is selected, the project location information is obtained. The call signal is matched according to the project location information to obtain the corresponding location verification information. The project location information is then verified according to the location verification information to obtain the third verification result.

13. The engineering quality testing method according to claim 12, characterized in that, Also includes: If the third verification result is successful, the corresponding testing equipment will be matched according to the testing items.

14. The engineering quality testing method according to claim 13, characterized in that, Also includes: When a corresponding testing device is matched, the usage status information and calibration verification information of the testing device are obtained. The call signal is matched according to the usage status information and calibration verification information to obtain the corresponding device verification information. The usage status information and calibration verification information are verified according to the device verification information to obtain the fourth verification result.

15. The engineering quality testing method according to claim 9, characterized in that, Also includes: When the selected inspection item is the rebar distance item, the obtained project verification information is the rebar distance verification information; Acquire an image of the object to be inspected, perform inspection process analysis on the image of the object to be inspected based on the rebar distance verification information, and obtain second inspection planning information for auxiliary inspection; acquire rebar distance data, perform rebar distance analysis on the rebar distance data based on the second inspection planning information, and obtain second inspection results.

16. The engineering quality testing method according to claim 9, characterized in that, Also includes: When the selected testing item is floor slab thickness, the engineering verification information obtained is floor slab thickness verification information; Acquire images of the object to be inspected, and perform inspection process analysis on the images of the object to be inspected based on the floor slab thickness verification information to obtain third inspection planning information for auxiliary inspection; Obtain floor slab thickness data, analyze the floor slab thickness based on the rebar spacing data according to the third inspection planning information, and obtain the third inspection results.

17. A data acquisition terminal device, characterized in that, It includes a memory and a processor, the memory storing a computer program and the processor being configured to run the computer program to perform the engineering quality inspection method according to any one of claims 9-16.

18. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program is configured to execute the engineering quality testing method according to any one of claims 9-16 when it is run.

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