Curtain wall sealing performance detection method and device, electronic equipment and storage medium

Abstract

The invention provides a curtain wall sealing performance detection method and device, electronic equipment and a storage medium, and relates to the technical field of curtain wall detection, and the method comprises the steps: obtaining a target air pressure value and a target temperature and humidity value at a current moment under the condition that a detection device is attached to a connection part of a curtain wall, the target air pressure value is air pressure data, detected by an air pressure sensor, of the joint of the curtain wall, the target temperature and humidity value is temperature and humidity data, detected by a temperature and humidity sensor, of the joint of the curtain wall, and the detection device comprises the air pressure sensor and the temperature and humidity sensor; correcting the target air pressure value according to the target temperature and humidity value to obtain a corrected air pressure value; and detecting the sealing performance of the joint of the curtain wall according to the corrected air pressure value to obtain a target detection result. By implementing the technical scheme provided by the invention, the effect of improving the detection efficiency is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of curtain wall detection, and in particular to a curtain wall sealing detection method, device, electronic equipment and storage medium. Background Art

[0002] With the rapid development of the construction industry, curtain walls, as a key component of building facades, are receiving more and more attention for their installation and maintenance efficiency. Quick connection systems, such as snap-on, magnetic or spring-type connectors, are widely used due to their ease of installation and removal, significantly improving the installation and maintenance efficiency of curtain walls. However, these new connection methods also bring challenges to sealing performance, especially after long-term use. The aging of sealing materials and loose connections may lead to water seepage, air leakage and other problems, thus affecting the overall performance of the building.

[0003] The commonly used methods for curtain wall sealing detection currently include visual inspection and testing using water pressure or air pressure. Visual inspection is simple and easy, but it is not effective in detecting hidden or minor leakage problems. Although water pressure or air pressure testing can detect sealing problems, the operation process is relatively complicated and requires special equipment and professionals, so it is subject to certain limitations in practical applications. It can be seen that the curtain wall sealing detection in related technologies is highly dependent on manual labor, resulting in low detection efficiency. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a curtain wall sealing detection method, device, electronic equipment and storage medium.

[0005] In a first aspect, the present application provides a method for detecting the sealing of a curtain wall, comprising: when a detection device is attached to a connection of the curtain wall, obtaining a target air pressure value and a target temperature and humidity value at a current moment, wherein the target air pressure value is the air pressure data at the connection of the curtain wall detected by an air pressure sensor, and the target temperature and humidity value is the temperature and humidity data at the connection of the curtain wall detected by a temperature and humidity sensor, and the detection device includes an air pressure sensor and a temperature and humidity sensor; correcting the target air pressure value according to the target temperature and humidity values ​​to obtain a corrected air pressure value; and detecting the sealing performance of the connection of the curtain wall according to the corrected air pressure value to obtain a target detection result.

[0006] By adopting the above technical solution, it is difficult to find hidden or minor leakage problems through traditional visual inspection, and the water pressure or air pressure test is complicated and highly dependent on manual labor. This technical solution combines air pressure sensors and temperature and humidity sensors to obtain air pressure and temperature and humidity data at the curtain wall connection in real time and accurately, and automatically obtains the target detection results. The requirements for detection personnel are not high, thereby achieving the effect of improving detection efficiency. In addition, the sealing performance of the curtain wall may be affected by the ambient temperature and humidity, which is often ignored by traditional methods. The method of this technical solution obtains and considers the target temperature and humidity values, and corrects the target air pressure value, thereby reducing the impact of environmental factors on the detection results and improving the reliability and accuracy of the detection.

[0007] Optionally, the target air pressure value is corrected according to the target temperature and humidity values ​​to obtain a corrected air pressure value, including: pre-establishing a correction model, wherein the correction model is a model with air pressure as a dependent variable and temperature and humidity as independent variables, and the correction model is established based on historical measurement data, and the historical measurement data includes actually measured historical air pressure data, historical temperature data, and historical humidity data; according to the target temperature and humidity values ​​and using the correction model, the target air pressure value is corrected to obtain a corrected air pressure value, wherein the target temperature and humidity values ​​include target temperature value and target humidity value.

[0008] By adopting the above technical solution and introducing the correction model to correct the target air pressure value, the sealing performance of the curtain wall joint under different environmental conditions can be more accurately reflected, reducing the detection error caused by environmental factors. The establishment of the correction model is based on a large amount of historical measurement data and is highly scientific and reliable. Therefore, using the model for correction processing can enhance the reliability and stability of the detection results and improve the quality of the detection work. The introduction of the correction model simplifies the data processing and analysis work in the detection process, making the detection work more efficient and convenient.

[0009] Optionally, the sealing performance of the connection of the curtain wall is tested according to the corrected air pressure value to obtain a target detection result, including: when the corrected air pressure value is greater than or equal to a preset air pressure threshold, outputting a first detection result, wherein the first detection result is used to indicate that the sealing performance of the connection of the curtain wall is up to standard, and the target detection result includes the first detection result; when the corrected air pressure value is less than the preset air pressure threshold, outputting a second detection result, wherein the second detection result is used to indicate that the sealing performance of the connection of the curtain wall is not up to standard, and the target detection result includes the second detection result.

[0010] By adopting the above technical solution, in the curtain wall sealing performance test, how to quantitatively evaluate whether the sealing performance meets the standard is a key issue. The method in this technical solution provides a clear quantitative standard for the evaluation of sealing performance by setting a preset air pressure threshold, making the test results more objective and accurate. By setting a clear quantitative standard (preset air pressure threshold) and an automated comparison and judgment process, the sealing performance of the curtain wall joint can be more accurately evaluated, reducing the possibility of misjudgment and missed judgment; through automated testing processes and clear quantitative standards, the test results are more objective and fair, reducing the interference and influence of human factors.

[0011] Optionally, the sealing performance of the connection of the curtain wall is evaluated according to the corrected air pressure value, including: when the ratio of the difference between the corrected air pressure value and the initial air pressure value to the initial air pressure value is greater than or equal to a preset proportional threshold, a third detection result is obtained, wherein the initial air pressure value is the air pressure value measured after pressurizing the connection of the curtain wall at an initial moment, the initial moment is earlier than the current moment, and the third detection result is used to indicate that the sealing performance of the connection of the curtain wall is up to standard, and the target detection result includes the third detection result; when the ratio of the difference between the corrected air pressure value and the initial air pressure value to the initial air pressure value is less than a preset proportional threshold, a fourth detection result is obtained, wherein the fourth detection result is used to indicate that the sealing performance of the connection of the curtain wall is not up to standard, and the target detection result includes the fourth detection result.

[0012] By adopting the above technical solution, a comprehensive evaluation is performed by combining the initial air pressure value and the corrected air pressure value, which can more comprehensively reflect the changes in the sealing performance of the curtain wall joints and improve the accuracy of the evaluation; the setting of the preset proportional threshold makes the evaluation process more standardized and normalized, reduces the interference of human factors, and enhances the reliability and stability of the evaluation results.

[0013] Optionally, after obtaining the target detection result, the method further includes: sending the target detection result to a mobile terminal, wherein the detection device is communicatively connected to the mobile terminal.

[0014] By adopting the above technical solution, the present technical solution can achieve the purpose of remote monitoring and management by sending the detection results to the mobile terminal in real time, which can reduce the workload and cost of on-site managers and improve work efficiency and convenience.

[0015] Optionally, the above method also includes: issuing an alarm when the target detection result indicates that the sealing performance of the connection of the curtain wall is not up to standard.

[0016] By adopting the above technical solution, when the test results show that the sealing performance does not meet the standards, the system can automatically issue an alarm prompt, allowing relevant personnel to respond quickly; through timely alarm prompts, the maintenance team can identify and solve problems more quickly, reducing potential damage and additional maintenance costs; the automated detection and alarm system reduces the possibility of human error and improves the reliability of the detection and maintenance process.

[0017] In a second aspect of the present application, a curtain wall sealing detection device is also provided, which is used to execute any of the aforementioned methods, including: an air pressure sensor, a temperature and humidity sensor and a data processing unit, wherein the air pressure sensor and the temperature and humidity sensor are both communicatively connected to the data processing unit; the air pressure sensor is used to detect a target air pressure value at the connection of the curtain wall, and send the target air pressure value to the data processing unit; the temperature and humidity sensor is used to detect the target temperature and humidity values ​​at the connection of the curtain wall, and send the target temperature and humidity values ​​to the data processing unit; the data processing unit is used to correct the target air pressure value according to the target temperature and humidity values ​​to obtain a corrected air pressure value, and detect the sealing performance of the connection of the curtain wall according to the corrected air pressure value to obtain a target detection result.

[0018] By adopting the above technical solution, the detection device can obtain the air pressure value and temperature and humidity value at the curtain wall connection, and effectively improve the accuracy of the detection result by correcting the air pressure value. Specifically, the air pressure sensor and the temperature and humidity sensor work together to collect data in real time; the data processing unit uses the correction model to dynamically correct the collected air pressure value, eliminate the influence of environmental factors on the detection result, and automatically obtain the target detection result, so as to accurately evaluate the sealing performance of the curtain wall connection, and finally generate reliable detection results. The requirements for the detection personnel are not high, so as to achieve the effect of improving the detection efficiency.

[0019] Optionally, the detection device further includes a communication unit, wherein the data processing unit is further configured to send the target detection result to the mobile terminal via the communication unit.

[0020] By adopting the above technical solution, the purpose of remote monitoring and management can be achieved by sending the detection results to the mobile terminal in real time, which can reduce the workload and cost of on-site managers and improve work efficiency and convenience.

[0021] In a third aspect of the present application, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, any of the above method steps is implemented.

[0022] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the above method steps is performed.

[0023] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: 1. By combining the air pressure sensor and the temperature and humidity sensor, the air pressure and temperature and humidity data at the curtain wall connection can be obtained in real time and accurately, and the test results can be automatically obtained. The requirements for the test personnel are not high, thereby achieving the effect of improving the test efficiency; 2. By obtaining and considering the target temperature and humidity values, the target air pressure value is corrected, which reduces the impact of environmental factors on the test results and improves the reliability and accuracy of the test; 3. By combining the initial air pressure value and the corrected air pressure value for comprehensive evaluation, the changes in the sealing performance of the curtain wall joints can be more comprehensively reflected, thereby improving the accuracy of the evaluation. The setting of the preset proportional threshold makes the evaluation process more standardized, reduces the interference of human factors, and enhances the reliability and stability of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of a curtain wall sealing detection method provided in an embodiment of the present application; Figure 2 It is a structural block diagram of a curtain wall sealing detection device provided in an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application.

[0025] Description of reference numerals: 300 - electronic device; 301 - processor; 302 - communication bus; 303 - user interface; 304 - network interface; 305 - memory. DETAILED DESCRIPTION

[0026] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0027] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0028] In the description of the embodiments of the present application, the term "plurality" means two or more. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] The present application provides a curtain wall sealing detection method, referring to Figure 1 , Figure 1 This is a flow chart of a curtain wall sealing detection method provided in an embodiment of the present application, comprising the following steps: Step S101, when the detection device is attached to the connection of the curtain wall, the target air pressure value and the target temperature and humidity value at the current moment are obtained, wherein the target air pressure value is the air pressure data of the connection of the curtain wall detected by the air pressure sensor, and the target temperature and humidity value is the temperature and humidity data of the connection of the curtain wall detected by the temperature and humidity sensor, and the detection device includes the air pressure sensor and the temperature and humidity sensor; Step S102, correcting the target air pressure value according to the target temperature and humidity values ​​to obtain a corrected air pressure value; Step S103, testing the sealing performance of the connection of the curtain wall according to the corrected air pressure value to obtain a target detection result.

[0030] In the above embodiments, it is difficult to find hidden or minor leakage problems by traditional visual inspection, and the water pressure or air pressure test operation is complicated and highly dependent on manual work. This embodiment can obtain the air pressure and temperature and humidity data of the curtain wall connection in real time and accurately by combining the air pressure sensor and the temperature and humidity sensor, and automatically obtain the target detection results, and the requirements for the detection personnel are not high, thereby achieving the effect of improving the detection efficiency. This embodiment is simple and fast to operate, and can quickly feedback the detection results, which is conducive to timely discovering and handling curtain wall sealing problems and ensuring the overall performance and safety of the building. In addition, the sealing performance of the curtain wall may be affected by the ambient temperature and humidity, which is often ignored by traditional methods. The method of this embodiment obtains and considers the target temperature and humidity values, and corrects the target air pressure value, thereby reducing the influence of environmental factors on the detection results and improving the reliability and accuracy of the detection. This embodiment combines the air pressure and temperature and humidity data and corrects them, so that the sealing performance of the curtain wall connection can be more comprehensively evaluated, reducing misjudgment and missed detection. This method is not limited to specific test environments and conditions, and can be carried out under a variety of environmental and climatic conditions, enhancing the applicability and flexibility of detection. Compared with the water pressure or air pressure test in the related art that requires special equipment and professionals, the operation of this embodiment is simple, reduces the dependence on manual labor, and improves the detection efficiency. At the same time, since the detection device can be directly attached to the curtain wall connection for detection, it is also convenient for on-site operation. In this embodiment, the design of the detection device allows the operator to quickly attach it to the curtain wall connection, which simplifies the detection process; through automated data collection and processing, the detection time is reduced and the detection efficiency is improved; the integrated use of air pressure sensors and temperature and humidity sensors, combined with correction algorithms, improves the accuracy of the detection results; the embodiment of the present application provides a simpler and more accurate curtain wall sealing detection method, which reduces the dependence on the operating skills of professionals and improves detection efficiency and accuracy by using an integrated detection device and automated data processing.

[0031] In an optional embodiment, the target air pressure value is corrected according to the target temperature and humidity values ​​to obtain a corrected air pressure value, including: pre-establishing a correction model, wherein the correction model is a model with air pressure value as a dependent variable and temperature value and humidity value as independent variables, and the correction model is established based on historical measurement data, and the historical measurement data includes actually measured historical air pressure data, historical temperature data and historical humidity data; according to the target temperature and humidity values ​​and using the correction model, the target air pressure value is corrected to obtain a corrected air pressure value, wherein the target temperature and humidity values ​​include target temperature value and target humidity value.

[0032] In the above embodiment, by introducing the correction model to correct the target air pressure value, the sealing performance of the curtain wall joint under different environmental conditions can be more accurately reflected, and the detection error caused by environmental factors can be reduced. The establishment of the correction model is based on a large amount of historical measurement data, which has high scientificity and reliability. Therefore, the use of the model for correction processing can enhance the reliability and stability of the detection results and improve the quality of the detection work. The introduction of the correction model simplifies the data processing and analysis work in the detection process, making the detection work more efficient and convenient. The sealing performance of the curtain wall joint is not only affected by air pressure, but also significantly affected by environmental factors such as temperature and humidity. Traditional detection methods often ignore these environmental factors, resulting in deviations in the detection results. This embodiment establishes a correction model in advance, takes temperature and humidity as independent variables into consideration, realizes the quantification of the impact of environmental factors, eliminates the influence of temperature and humidity, and thus improves the accuracy of detection. The establishment of the correction model is based on a large amount of historical measurement data, which covers the changes in air pressure, temperature and humidity under different environmental conditions, making the correction model more scientific and reliable. By using this model to correct the target air pressure value, the actual sealing performance of the curtain wall joint under different environmental conditions can be more accurately reflected. Since the correction model takes into account the influence of multiple environmental factors, this method can maintain high detection accuracy under different climate and seasonal conditions. At the same time, the use of the correction model to automatically process the measurement data reduces the need for manual calculation and adjustment, and improves detection efficiency.

[0033] Optionally, the air pressure value in the correction model may be related only to the humidity value, only to the temperature value, or both to the humidity value and the temperature value. The correction model may be a humidity correction model. For example, the temperature and humidity sensor measures the current ambient humidity to be 70% RH, and the air pressure sensor measures the current air pressure to be 1000 hPa. The data processing unit knows that the air pressure reading needs to be corrected at a humidity of 70% RH based on the built-in correction model (or correction algorithm). The correction algorithm calculates the correction value based on the humidity value, assuming it is -4 hPa. The data processing unit applies the correction value to the original air pressure reading, and the corrected air pressure value is 996 hPa. In this way, accurate air pressure data can be obtained even when the ambient temperature and humidity change, thereby improving the accuracy and reliability of curtain wall sealing detection.

[0034] Optionally, the correction model can be a temperature correction model. For example, assuming that the air pressure value measured at the current ambient temperature of 25°C is 1013hPa, if it is found through experiments that the air pressure reading increases by 0.3 hPa for every 1°C increase, a simple linear correction model can be established. When the temperature increases from 15°C to 25°C, the temperature changes by 10°C. According to the correction model, the air pressure reading may increase by 3 hPa. This correction value (3 hPa) is subtracted from the original reading of the pressure sensor to obtain the corrected air pressure value. Therefore, the corrected air pressure value should be 1010 hPa (1013 hPa - 3 hPa), which is closer to the actual air pressure reading.

[0035] Optionally, assume that the pressure value measured by the pressure sensor is 1013 hPa, the temperature is 25°C, and the humidity is 50% RH under a standard atmospheric pressure. Using historical data, we have established a correction model that shows that the pressure reading needs to be reduced by 0.3 hPa for every 1°C increase in temperature and 0.15 hPa for every 10% RH increase in humidity. Temperature correction: The temperature increases from the standard temperature of 15°C to 25°C, and the temperature changes by 10°C. According to the model, the pressure reading needs to be reduced by 10×0.3=310×0.3=3 hPa. Humidity correction: The humidity is 50% RH, assuming the standard humidity is 30% RH, and the humidity changes by 20%RH. According to the model, the pressure reading needs to be reduced by 2×0.15=0.32×0.15=0.3 hPa. Comprehensive correction: Apply the temperature and humidity correction values ​​to the original air pressure reading, and the corrected air pressure value is 1013−3−0.3=1009.71013−3−0.3=1009.7 hPa. In this way, the effects of temperature and humidity can be comprehensively considered to obtain more accurate air pressure data. This correction method has important application value in weather forecasting, aviation, meteorological research and other fields.

[0036] In an optional embodiment, the sealing performance of the connection of the curtain wall is tested according to the corrected air pressure value to obtain a target detection result, including: when the corrected air pressure value is greater than or equal to a preset air pressure threshold, outputting a first detection result, wherein the first detection result is used to indicate that the sealing performance of the connection of the curtain wall is up to standard, and the target detection result includes the first detection result; when the corrected air pressure value is less than the preset air pressure threshold, outputting a second detection result, wherein the second detection result is used to indicate that the sealing performance of the connection of the curtain wall is not up to standard, and the target detection result includes the second detection result.

[0037] In the above embodiment, in the curtain wall sealing performance detection, how to quantitatively evaluate whether the sealing performance meets the standard is a key issue. The method in this embodiment provides a clear quantitative standard for the evaluation of sealing performance by setting a preset air pressure threshold, so that the test results are more objective and accurate. Traditional detection methods may require complex experiments or long-term observations to evaluate the sealing performance, which is inefficient, and the human judgment of traditional methods often has subjectivity and uncertainty in the detection process, which may lead to deviations in the test results. By setting clear quantitative standards (preset air pressure thresholds) and automated comparison and judgment processes, the sealing performance of the curtain wall joints can be more accurately evaluated, reducing the possibility of misjudgment and missed judgments; through automated detection processes and clear quantitative standards, the test results are more objective and fair, reducing the interference and influence of human factors. According to the test results (the first test results or the second test results), corresponding follow-up treatment measures can be conveniently taken, such as repairs, replacement of seals, etc., to ensure the safety and service life of the curtain wall. This embodiment reduces manual operations, reduces detection costs and time through automated detection methods; can quickly obtain test results, improve the efficiency of detection work; simplifies the detection process, so that operators can perform detection even without professional backgrounds.

[0038] In an optional embodiment, the sealing performance of the connection of the curtain wall is evaluated according to the corrected air pressure value, including: when the ratio of the difference between the corrected air pressure value and the initial air pressure value to the initial air pressure value is greater than or equal to a preset proportional threshold, a third detection result is obtained, wherein the initial air pressure value is the air pressure value measured after the connection of the curtain wall is pressurized at an initial moment, and the initial moment is earlier than the current moment, and the third detection result is used to indicate that the sealing performance of the connection of the curtain wall is up to standard, and the target detection result includes the third detection result; when the ratio of the difference between the corrected air pressure value and the initial air pressure value to the initial air pressure value is less than a preset proportional threshold, a fourth detection result is obtained, wherein the fourth detection result is used to indicate that the sealing performance of the connection of the curtain wall is not up to standard, and the target detection result includes the fourth detection result.

[0039] In the above embodiment, by comparing the change ratio between the corrected air pressure value and the initial air pressure value, the sealing performance of the curtain wall connection within a certain period of time can be dynamically evaluated. This method not only takes into account the current air pressure state, but also combines the air pressure conditions at the initial moment, providing a more comprehensive evaluation perspective. Setting a preset ratio threshold as an evaluation standard makes the evaluation result more accurate. By quantifying the ratio of the air pressure change, it is possible to more accurately judge whether the sealing performance meets the standard, thereby avoiding the error of subjective judgment. By combining the initial air pressure value and the corrected air pressure value for comprehensive evaluation, the change of the sealing performance of the curtain wall connection can be more comprehensively reflected, and the accuracy of the evaluation can be improved; the setting of the preset ratio threshold makes the evaluation process more standardized and standardized, reduces the interference of human factors, and enhances the reliability and stability of the evaluation results; according to the evaluation result (the third test result or the fourth test result), the specific position where the sealing performance does not meet the standard can be conveniently located. In practical applications, the detection device can also include a positioning module, which can automatically locate the position of the curtain wall connection to which the detection device is attached, and take corresponding subsequent treatment measures, such as strengthening the seal, replacing the seal, etc., to ensure the safety and service life of the curtain wall.

[0040] In an optional embodiment, after obtaining the target detection result, the method further includes: sending the target detection result to a mobile terminal, wherein the detection device is communicatively connected to the mobile terminal.

[0041] In the above embodiments, for curtain wall detection in large buildings or remote locations, traditional on-site monitoring and management methods may not be efficient enough. This embodiment can achieve the purpose of remote monitoring and management by sending the detection results to the mobile terminal in real time, which can reduce the workload and cost of on-site managers and improve work efficiency and convenience. Users can view the detection results through the mobile terminal at any time and obtain timely and accurate information feedback, thereby enhancing user experience and satisfaction with the service.

[0042] In an optional embodiment, the method further includes: issuing an alarm when the target detection result indicates that the sealing performance of the connection of the curtain wall is not up to standard.

[0043] In the above embodiment, when the test results show that the sealing performance is not up to standard, the system can automatically issue an alarm prompt so that relevant personnel can respond quickly; through timely alarm prompts, the maintenance team can identify and solve problems more quickly, reducing potential damage and additional maintenance costs; the automated detection and alarm system reduces the possibility of human error and improves the reliability of the detection and maintenance process. In the related art, the test results may need to be manually analyzed, and there is a lack of an immediate warning system when a problem is found, which may result in the problem not being solved in a timely manner, thereby affecting the safety and functionality of the building; this embodiment provides an automated feedback mechanism to promptly notify relevant personnel to perform maintenance or repairs when the curtain wall sealing performance is not up to standard. The realization of the automatic alarm function makes the entire detection system more automated and intelligent, reduces the need for manual intervention, and improves work efficiency; timely alarms help ensure that the sealing performance of the curtain wall joints is repaired and maintained in a timely manner, thereby improving the overall safety of the building.

[0044] The present application also provides a curtain wall sealing detection device, which is used to perform the method of any of the above embodiments, such as Figure 2 As shown, Figure 2 : is a structural block diagram of a curtain wall sealing detection device provided in an embodiment of the present application, the device comprises: an air pressure sensor 201, a temperature and humidity sensor 202 and a data processing unit 203, wherein: The air pressure sensor 201 and the temperature and humidity sensor 202 are both in communication connection with the data processing unit 203; The air pressure sensor 201 is used to detect the target air pressure value at the connection of the curtain wall and send the target air pressure value to the data processing unit 203; The temperature and humidity sensor 202 is used to detect the target temperature and humidity values ​​at the connection of the curtain wall, and send the target temperature and humidity values ​​to the data processing unit 203; The data processing unit 203 is used to correct the target air pressure value according to the target temperature and humidity values ​​to obtain a corrected air pressure value, and to detect the sealing performance of the connection of the curtain wall according to the corrected air pressure value to obtain a target detection result.

[0045] In the above embodiment, the detection device can obtain the air pressure value and the temperature and humidity value at the curtain wall connection, and by correcting the air pressure value, effectively improve the accuracy of the detection result. Specifically, the air pressure sensor 201 and the temperature and humidity sensor 202 work together to collect data in real time; the data processing unit 203 uses the correction model to dynamically correct the collected air pressure value, eliminate the influence of environmental factors on the detection result, and automatically obtain the target detection result, so as to accurately evaluate the sealing performance of the curtain wall connection, and finally generate a reliable detection result. The requirements for the detection personnel are not high, so as to achieve the effect of improving the detection efficiency. This embodiment combines the air pressure and temperature and humidity data and corrects them, so as to more comprehensively evaluate the sealing performance of the curtain wall connection, reduce misjudgment and missed detection. This method is not limited to a specific test environment and conditions, and can be carried out under a variety of environmental and climatic conditions, which enhances the applicability and flexibility of the detection. Compared with the water pressure or air pressure test that requires special equipment and professionals in the related art, the operation of this embodiment is simple, reduces the dependence on manual labor, and improves the detection efficiency. At the same time, since the detection device can be directly attached to the curtain wall connection for detection, it is also convenient for on-site operation. In this embodiment, the design of the detection device allows the operator to quickly fit it to the curtain wall connection, simplifying the detection process; through automated data collection and processing, the detection time is reduced and the detection efficiency is improved; the integrated use of the air pressure sensor 201 and the temperature and humidity sensor 202, combined with the correction algorithm, improves the accuracy of the detection results; the embodiment of the present application provides a simpler and more accurate curtain wall sealing detection method, which reduces the dependence on the operating skills of professionals and improves the detection efficiency and accuracy by using an integrated detection device and automated data processing.

[0046] In an optional embodiment, the detection device further includes a communication unit 204 , wherein the data processing unit 203 is further configured to send the target detection result to the mobile terminal via the communication unit 204 .

[0047] In the above embodiments, for curtain wall inspection of large buildings or remote locations, traditional on-site monitoring and management methods may not be efficient enough. By sending the inspection results to the mobile terminal in real time, the purpose of remote monitoring and management can be achieved, the workload and cost of on-site managers can be reduced, and work efficiency and convenience can be improved. Users can view the inspection results through the mobile terminal at any time and obtain timely and accurate information feedback, thereby enhancing user experience and satisfaction with the service.

[0048] Other device embodiments correspond to the aforementioned method embodiments, and other technical features can be found in the previous embodiments, which will not be repeated here.

[0049] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application will be described in detail below in conjunction with specific embodiments.

[0050] In view of the problems that the existing curtain wall sealing detection method is complex to operate, inefficient and has low accuracy, the embodiments of the present application provide a curtain wall sealing detection method and device.

[0051] 1. Method implementation 1. Provide a detection device, which integrates an air pressure sensor, a temperature and humidity sensor and a data processing unit; 2. When conducting a sealing test, place the test device tightly against the joint of the curtain wall; 3. Use the air pressure sensor to continuously monitor the air pressure changes at the connection point, and use the temperature and humidity sensor to record the ambient temperature and humidity data simultaneously; 4. The data processing unit receives real-time data from the sensor, analyzes and processes it, evaluates the sealing performance of the connection, and generates a test report.

[0052] (II) Device implementation part The present application also provides a detection device for implementing the above method, including a fitting component, an air pressure sensor, a temperature and humidity sensor, a data processing unit, and a communication module (corresponding to the aforementioned communication unit). The fitting component ensures that the device can fit tightly at the connection of the curtain wall; the air pressure sensor and the temperature and humidity sensor are responsible for data collection; the data processing unit performs data analysis and generates a report; and the communication module is responsible for sending the detection results to a mobile device.

[0053] In order to improve the accuracy of sealing detection, the present application further proposes a method for dynamically correcting air pressure data according to changes in ambient temperature and humidity. Specifically, the data processing unit has a built-in correction algorithm, which can adjust the air pressure data accordingly according to the temperature and humidity data collected in real time, thereby eliminating the influence of environmental factors on the test results and ensuring the accuracy of the test results.

[0054] In order to improve the convenience of operation, the present application can also connect the detection device to a mobile device. Users can remotely control the detection device through a mobile device, start or stop the detection program, and view the detection results in real time. This optimization not only simplifies the operation process, but also improves the detection efficiency, meeting the intelligent needs of modern building curtain wall maintenance.

[0055] Specific embodiment 1: In actual application, the inspector first prepares a special inspection device and ensures that its components function normally. Then, the inspector fits the device to the connection of the curtain wall and starts the inspection program. The air pressure sensor and temperature and humidity sensor in the device start working to collect relevant data. After receiving the data, the data processing unit analyzes and processes it to evaluate the sealing performance of the connection. After the inspection is completed, the data processing unit generates a test report, and the inspector can view the report content through the display screen on the device.

[0056] Specific embodiment 2: When performing a sealing test, the data processing unit uses a built-in correction algorithm to dynamically correct the air pressure data, taking into account the impact of ambient temperature and humidity on the air pressure data. For example, in an environment with high humidity, the air pressure data may be affected to a certain extent. At this time, the correction algorithm will adjust the air pressure data accordingly according to the humidity value to ensure the accuracy of the test results. In this way, the present invention effectively improves the accuracy and reliability of sealing detection.

[0057] The implementation of the above embodiments of the present application solves the problems of complex operation, low efficiency and low accuracy of existing detection methods. Compared with the related art, the embodiments of the present application have at least the following technical effects: 1) Through a special detection device and an intelligent data processing method, the present invention realizes rapid and accurate detection of curtain wall sealing, greatly improving detection efficiency and accuracy; 2) The function of remote control and viewing of detection results by mobile devices makes the operation more convenient, meeting the needs of modern building curtain wall maintenance.

[0058] The present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed, any one of the method steps described above is executed.

[0059] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0060] The present application also discloses an electronic device. Figure 3 As shown, Figure 3 The electronic device 300 may include: at least one processor 301 , at least one network interface 304 , a user interface 303 , a memory 305 , and at least one communication bus 302 .

[0061] The communication bus 302 is used to realize the connection and communication between these components.

[0062] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0063] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0064] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts of the entire electronic device (such as a server), and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0065] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 The memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program of a curtain wall sealing detection method.

[0066] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call an application program of a curtain wall sealing detection method stored in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited to the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0067] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0068] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0069] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0070] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0071] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0072] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and the truth of practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0073] This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field not recorded in the present disclosure.

Claims

1. A curtain wall sealing detection method, characterized in that: include: When the detection device is attached to the connection of the curtain wall, a target air pressure value and a target temperature and humidity value at the current moment are obtained, wherein the target air pressure value is the air pressure data of the connection of the curtain wall detected by the air pressure sensor, and the target temperature and humidity value is the temperature and humidity data of the connection of the curtain wall detected by the temperature and humidity sensor, and the detection device includes the air pressure sensor and the temperature and humidity sensor; Correcting the target air pressure value according to the target temperature and humidity value to obtain a corrected air pressure value; The sealing performance of the connection of the curtain wall is tested according to the corrected air pressure value to obtain a target test result.

2. The method according to claim 1, characterized in that Correcting the target air pressure value according to the target temperature and humidity value to obtain a corrected air pressure value includes: Pre-establishing a correction model, wherein the correction model is a model with air pressure as a dependent variable and temperature and humidity as independent variables, and the correction model is established based on historical measurement data, and the historical measurement data includes historical air pressure data, historical temperature data, and historical humidity data actually measured; The target air pressure value is corrected according to the target temperature and humidity value and using the correction model to obtain the corrected air pressure value, wherein the target temperature and humidity value includes a target temperature value and a target humidity value.

3. The method according to claim 1, characterized in that The sealing performance of the connection of the curtain wall is tested according to the corrected air pressure value to obtain a target test result, including: When the corrected air pressure value is greater than or equal to the preset air pressure threshold, outputting a first detection result, wherein the first detection result is used to indicate that the sealing performance of the connection of the curtain wall is up to standard, and the target detection result includes the first detection result; When the corrected air pressure value is less than the preset air pressure threshold, a second detection result is output, wherein the second detection result is used to indicate that the sealing performance of the connection of the curtain wall is not up to standard, and the target detection result includes the second detection result.

4. The method according to claim 1, characterized in that The sealing performance of the connection of the curtain wall is evaluated according to the corrected air pressure value, including: In the case where the ratio of the difference between the corrected air pressure value and the initial air pressure value to the initial air pressure value is greater than or equal to a preset ratio threshold, a third detection result is obtained, wherein the initial air pressure value is an air pressure value measured after the connection of the curtain wall is pressurized at an initial moment, the initial moment is earlier than the current moment, the third detection result is used to indicate that the sealing performance of the connection of the curtain wall is up to standard, and the target detection result includes the third detection result; When the ratio of the difference between the corrected air pressure value and the initial air pressure value to the initial air pressure value is less than the preset ratio threshold, a fourth detection result is obtained, wherein the fourth detection result is used to indicate that the sealing performance of the connection of the curtain wall is not up to standard, and the target detection result includes the fourth detection result.

5. The method according to any one of claims 1 to 4, characterized in that After obtaining the target detection result, the method further includes: The target detection result is sent to a mobile terminal, wherein the detection device is communicatively connected to the mobile terminal.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: When the target detection result indicates that the sealing performance of the connection of the curtain wall is not up to standard, an alarm prompt is issued.

7. A curtain wall sealing detection device, characterized in that: The method for executing any one of claims 1 to 6 comprises: an air pressure sensor, a temperature and humidity sensor, and a data processing unit, wherein: The air pressure sensor and the temperature and humidity sensor are both communicatively connected to the data processing unit; The air pressure sensor is used to detect the target air pressure value at the connection of the curtain wall and send the target air pressure value to the data processing unit; The temperature and humidity sensor is used to detect the target temperature and humidity values ​​at the connection of the curtain wall, and send the target temperature and humidity values ​​to the data processing unit; The data processing unit is used to correct the target air pressure value according to the target temperature and humidity values ​​to obtain a corrected air pressure value, and to detect the sealing performance of the connection of the curtain wall according to the corrected air pressure value to obtain a target detection result.

8. The detection device according to claim 7, characterized in that: The detection device further includes a communication unit, wherein the data processing unit is further configured to send the target detection result to a mobile terminal via the communication unit.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 6 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 6 is performed.

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