Green building detection service process optimization method

Abstract

The invention relates to the technical field of building detection, in particular to a green building detection service process optimization method, which comprises the following steps of: establishing a digital detection system: acquiring environment, illumination, energy consumption, noise and other related data of a green building through detection equipment and technical means, and transmitting the data to a data center for analysis and processing through a wireless network; according to the green building detection service process optimization method, real-time monitoring and automatic acquisition of various performance indexes of a green building are realized, and the green building detection service process optimization method is realized by establishing a digital detection system, formulating a standardized process, introducing a data analysis and evaluation model, and developing an online service platform and a mobile terminal application. High efficiency, precision and intelligence of green building detection service are realized, and detection efficiency, data accuracy and customer service quality are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of building detection, and specifically to an optimization method for the service process of green building detection. Background Art

[0002] With the continuous improvement of global environmental awareness and the in-depth promotion of the concept of sustainable development, green buildings, as an important environmental protection practice, are widely applied globally. The core goal of green buildings is to maximize resource conservation, reduce environmental pollution, and provide healthy, comfortable, and efficient usage spaces throughout the entire life cycle of buildings. However, despite the remarkable progress in the concept and practice of green buildings, there are still many deficiencies in the current service process of green building detection. Specifically, the detection process lacks standardization and normalization, resulting in low efficiency in the collection, management, and analysis of detection data, making it difficult to comprehensively evaluate and continuously optimize the performance of green buildings. Therefore, there is an urgent need for a more scientific and efficient service process for green building detection to improve the accuracy and reliability of detection and promote the further development and improvement of green buildings. Summary of the Invention

[0003] One technical problem to be solved by this application is: to propose an optimization method for the service process of green building detection, which realizes the comprehensive optimization of green building detection services through means such as integrating detection resources, standardizing the detection process, and data processing.

[0004] To solve the above technical problem, the embodiments of this application provide an optimization method for the service process of green building detection, including the following steps: Establish a digital detection system: Collect relevant data such as the environment, lighting, energy consumption, and noise of green buildings through detection equipment and technical means, and transmit the data to the data center through a wireless network for analysis and processing to achieve real-time monitoring and automatic collection of various performance indicators of green buildings; Formulate a standardized detection process: According to the characteristics of green buildings and relevant standards, formulate a set of scientific, standardized, and normalized detection processes, including pre-detection preparations, on-site detection, data collection, data processing, result analysis, compliance assessment, etc., clarify detection items, detection methods, detection frequencies, and detection standards to ensure the accuracy of detection results; Data analysis and evaluation: Introduce data analysis and evaluation models, deeply analyze and evaluate the collected detection data, evaluate the performance of green buildings, including but not limited to energy efficiency, material sustainability, indoor air quality, etc., and put forward improvement suggestions to generate detailed detection reports and evaluation reports; Provide an online service platform: Develop an online platform for green building inspection services to provide customers with inspection service reservation, inspection report query, and data analysis services. Customers can understand the inspection progress and results in real time through the platform, communicate with the inspection agency, establish an online feedback and improvement mechanism, and optimize the inspection service process and service quality according to user feedback; Develop mobile terminal applications: Develop mobile terminal applications to facilitate data collection and inspection operations by inspection personnel on-site, improve inspection efficiency and accuracy, and at the same time provide customers with a convenient inspection service experience.

[0005] In some embodiments, the step of establishing a digital inspection system includes: Deploy sensor modules for collecting data such as environmental parameters, energy consumption, and equipment operation status of green buildings; Transmit the collected data to the data center through a data transmission module. The data transmission methods include wireless networks and wired networks; Store, process, and analyze the collected data in the data center, and evaluate the performance of green buildings using data analysis algorithms and evaluation models.

[0006] In some embodiments, the step of formulating a standardized inspection process includes: Preparation before inspection: Define the inspection objectives, inspection items, and inspection standards, and prepare inspection equipment and tools; On-site inspection: Collect on-site data according to the standardized process to ensure the accuracy and integrity of data collection; Data collection: Collect data such as the environment, energy consumption, and noise of green buildings through sensor modules and inspection equipment; Data processing: Clean, classify, and preprocess the collected data; Result analysis: Analyze the processed data using data analysis algorithms to evaluate the performance of green buildings; Compliance assessment: Evaluate whether the green building meets the relevant standards based on the analysis results and put forward improvement suggestions.

[0007] In some embodiments, the data analysis and evaluation step includes: Clean, classify, and preprocess the collected data; Evaluate the performance of green buildings using data analysis algorithms and evaluation models. The evaluation contents include energy efficiency, material sustainability, indoor air quality, etc.; Generate inspection reports and evaluation reports based on the evaluation results and put forward improvement suggestions.

[0008] In some embodiments, the data analysis and evaluation step includes: Clean, classify, and preprocess the collected data; Use data analysis algorithms and evaluation models to evaluate the performance of green buildings, including energy efficiency, material sustainability, indoor air quality, etc.; Generate inspection reports and evaluation reports based on the evaluation results, and put forward improvement suggestions.

[0009] In some embodiments, the step of developing a mobile terminal application includes: Develop a mobile terminal application to facilitate on-site data collection and inspection operations by inspectors; Real-time upload inspection data to the data center through the mobile terminal application to ensure the timeliness and accuracy of the data; Customers can query the inspection progress and results through the mobile terminal application and communicate with the inspection agency.

[0010] In some embodiments, the sensor module includes: Environmental parameter sensors: used to collect indoor and outdoor temperature, humidity, and air quality data; Energy consumption monitoring devices: used to monitor the energy consumption of buildings such as electricity, water, and gas in real time; Noise sensors: used to collect the noise levels inside and around the building; Light sensors: used to monitor the light intensity and distribution inside the building.

[0011] In some embodiments, the data center includes: Data storage unit: used to store the raw data collected by the sensor module; Data processing unit: used to clean, classify, and preprocess the collected data; Data analysis unit: use data analysis algorithms and evaluation models to evaluate the performance of green buildings; Report generation unit: used to generate detailed inspection reports and evaluation reports, including inspection data, evaluation results, and improvement suggestions.

[0012] The present invention has at least the following beneficial effects: Improve inspection efficiency: By establishing a digital inspection system and developing a mobile terminal application, real-time collection and automatic transmission of data such as environmental parameters, energy consumption, and noise of green buildings are realized, reducing manual intervention and significantly improving inspection efficiency.

[0013] Enhance data accuracy: Develop standardized inspection procedures, clarify inspection items, methods, and standards, ensure the standardization and consistency of data collection, and thus improve the accuracy and reliability of inspection data.

[0014] Comprehensive Performance Evaluation: By introducing data analysis and evaluation models, in-depth analysis and evaluation are carried out on performance indicators such as the energy efficiency, material sustainability, and indoor air quality of green buildings, generating detailed inspection reports and evaluation reports, providing a scientific basis for the performance improvement of green buildings.

[0015] Optimize Service Experience: Provide an online service platform where customers can conveniently make appointments for inspection services, query inspection reports, and obtain data analysis results. At the same time, through the online feedback mechanism, customers can provide real-time feedback and evaluation on the inspection services, improving service quality and user satisfaction.

[0016] Enhance Flexibility and Adaptability: Develop a mobile terminal application, allowing inspectors to collect data and conduct inspection operations on-site, improving the flexibility and adaptability of inspections, and at the same time providing customers with a convenient inspection service experience.

[0017] Promote the Sustainable Development of Green Buildings: Through comprehensive performance evaluation and continuous improvement suggestions, help green buildings achieve resource conservation, environmental protection, and efficient use, promoting the sustainable development of green buildings.

[0018] Improve Data Management and Analysis Capabilities: The data center stores, processes, and analyzes the collected data, applying advanced data analysis algorithms and evaluation models to improve data management and analysis capabilities, providing strong support for the performance optimization of green buildings. Brief Description of the Drawings

[0019] Figure 1 It is a schematic diagram of the inspection service process of the present invention. Detailed Implementation Modes

[0020] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Please refer to the figure. The present invention provides a technical solution: an optimization method for the inspection service process of green buildings, aiming to improve the efficiency, accuracy, and service quality of green building inspections through digital, standardized, and intelligent means.

[0022] The following are the detailed steps and supplementary explanations of the optimization method: 1. Establish a digital inspection system Deployment of the sensor module: Deploy a variety of sensors in key areas of green buildings, including environmental parameter sensors (monitoring temperature, humidity, air quality, etc.), energy consumption monitoring devices (monitoring energy consumption such as electricity, water, gas, etc.), noise sensors (monitoring indoor and outdoor noise levels), and light sensors (monitoring light intensity and distribution); The sensor module should have the characteristics of high precision, low power consumption, and long lifespan to ensure the stability and reliability of data collection.

[0023] Data Transmission and Network Architecture: Transmit the data collected by sensors to the data center in real time through wireless networks (such as Wi-Fi, LoRa, NB-IoT) and wired networks (such as Ethernet); Adopt edge computing technology to perform preliminary processing during data transmission, reducing the load on the data center and improving the response speed.

[0024] Data Center Functions: Data Storage Unit: Adopt distributed storage technology to ensure the secure storage and efficient access of massive data; Data Processing Unit: Clean, denoise, classify, and format the raw data to ensure data quality; Data Analysis Unit: Use machine learning algorithms and big data analysis models to deeply analyze performance indicators such as energy efficiency, material sustainability, and indoor environmental quality of green buildings; Report Generation Unit: Automatically generate visual reports, including data charts, performance evaluation results, and improvement suggestions, for easy understanding and decision-making by customers.

[0025] 2. Develop a standardized detection process Preparations before Detection: Clarify the detection objectives, detection items, and detection standards, and develop a detection plan based on green building evaluation standards (such as LEED, BREEAM, GB / T 50378, etc.); Prepare detection equipment and tools, ensure equipment calibration and normal function, and avoid errors during the detection process.

[0026] On-site Detection: Collect on-site data according to the standardized process, ensure that the detection personnel operate in a standardized manner, and avoid the influence of human factors on data accuracy; Use a mobile terminal application to record the detection process and upload data to the data center in real time to ensure data timeliness and traceability.

[0027] Data Collection and Processing: Collect environmental, energy consumption, noise, etc. data through sensor modules and detection equipment to ensure the comprehensiveness and representativeness of the data; Clean, classify, and preprocess the collected data to remove outliers and noisy data, ensuring the accuracy and reliability of the data.

[0028] Result analysis and compliance assessment: Use data analysis algorithms to analyze the processed data and evaluate the performance of green buildings, including energy efficiency, material sustainability, indoor air quality, etc.; Evaluate whether the green building meets the relevant standards based on the analysis results and put forward targeted improvement suggestions to help customers optimize the building performance.

[0029] 3. Data analysis and evaluation Data cleaning and preprocessing: Use automated tools to clean the raw data, removing duplicate, missing, and abnormal data to ensure data quality; Classify and format the data for subsequent analysis and modeling.

[0030] Performance evaluation and modeling: Use machine learning algorithms (such as regression analysis, clustering analysis, neural networks, etc.) and evaluation models (such as energy consumption models, indoor environmental quality models, etc.) to deeply evaluate the performance of green buildings; The evaluation content includes but is not limited to energy efficiency, material sustainability, indoor air quality, water resource utilization efficiency, etc.

[0031] Report generation and improvement suggestions: Automatically generate detailed inspection reports and evaluation reports, including data visualization charts, performance evaluation results, and improvement suggestions; Provide customized improvement solutions to help customers optimize the building performance, reduce operating costs, and enhance sustainability.

[0032] 4. Provide an online service platform Service reservation and query: Develop an online platform for green building inspection services, supporting customers to make online reservations for inspection services, query inspection progress and results; The platform provides a user-friendly interface and supports multi-terminal access (PC, mobile phone, tablet) to enhance the customer experience.

[0033] Data analysis and visualization: Provide data analysis tools and visualization functions on the platform, and customers can view historical data, trend analysis, and performance evaluation results; Support the data export function to facilitate customers' further analysis and decision-making.

[0034] Online feedback and improvement mechanism: Establish a customer feedback channel through which customers can submit opinions and suggestions via the platform, and the inspection agency can optimize the service process and quality based on the feedback. Regularly push inspection reports and optimization suggestions to help customers continuously improve building performance.

[0035] 5. Develop a mobile terminal application On-site data collection: Develop a mobile terminal application to support inspectors in conducting on-site data collection and inspection operations, improving inspection efficiency and accuracy. The application supports an offline mode and can still be used normally when the network signal is poor. Data will be automatically uploaded after the network is restored.

[0036] Real-time data upload and synchronization: Upload inspection data to the data center in real time through the mobile terminal application to ensure the timeliness and accuracy of the data. Support the data synchronization function to ensure that inspectors and managers can view the latest data at any time.

[0037] Customer service experience: Customers can query the inspection progress and results through the mobile terminal application and communicate with the inspection agency in real time. The application supports the message push function to notify customers of inspection progress and report updates in a timely manner.

[0038] 6. Supplementary description of the sensor module and the data center Sensor module: Environmental parameter sensors: Monitor air quality indicators such as temperature, humidity, CO2 concentration, and PM2.5. Energy consumption monitoring devices: Real-time monitor energy consumption such as electricity, water, and gas, and support sub-item metering and energy consumption analysis. Noise sensors: Monitor the noise levels inside and outside the building to evaluate the acoustic environment quality. Light sensors: Monitor natural and artificial light intensities to evaluate the energy efficiency and comfort of the lighting system.

[0039] Data center: Adopt cloud computing and big data technologies to support the storage, processing, and analysis of massive data. Provide data security and privacy protection measures to ensure the security and compliance of customer data.

[0040] 7. Continuous optimization and innovation Intelligent upgrade: Introduce artificial intelligence technology to automate and intelligentize the inspection process, reduce manual intervention, and improve inspection efficiency. Develop a predictive maintenance function to predict the failure risks of building equipment through data analysis and take preventive maintenance measures in advance.

[0041] Customer Training and Support: Provide training services to customers to help them understand inspection reports and improvement suggestions, and enhance customer participation and satisfaction; Establish a customer support team to provide technical consultation and after-sales service to ensure that customer problems are resolved in a timely manner.

[0042] Through the above optimization methods, the green building inspection service process will be more efficient, accurate and intelligent, which can not only meet customers' needs for building performance evaluation, but also provide support for their continuous improvement, and contribute to the sustainable development of green buildings.

[0043] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device.

[0044] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention.

Claims

1. The green building inspection service process optimization method is characterized by: The following steps are involved: Establish a digital detection system: collect relevant data on the environment, lighting, energy consumption, noise, etc. of green buildings through detection equipment and technical means, and transmit the data to the data center through wireless network for analysis and processing, so as to realize real-time monitoring and automatic collection of various performance indicators of green buildings; Formulate standardized testing procedures: According to the characteristics of green buildings and relevant standards, formulate a set of scientific, standardized and standardized testing procedures, including pre-test preparation, on-site testing, data collection, data processing, result analysis, conformity assessment and other links, clarify the testing items, testing methods, testing frequency and testing standards, and ensure the accuracy of the test results; Data analysis and evaluation: Introduce data analysis and evaluation models to conduct in-depth analysis and evaluation of the collected test data, evaluate the performance of green buildings, including but not limited to energy efficiency, material sustainability, indoor air quality, etc., and put forward improvement suggestions, and generate detailed test reports and evaluation reports; Provide online service platform: Develop an online platform for green building inspection services to provide customers with inspection service appointments, inspection report inquiries and data analysis services. Customers can use the platform to understand the inspection progress and results in real time and communicate with the inspection agency. Establish an online feedback and improvement mechanism to optimize the inspection service process and service quality based on user feedback; Develop mobile terminal applications: Develop mobile terminal applications to facilitate testing personnel to collect data and perform testing operations on site, improve testing efficiency and accuracy, and provide customers with a convenient testing service experience.

2. The green building inspection service process optimization method according to claim 1 is characterized by: The steps of establishing a digital detection system include: Deploy sensor modules to collect data on environmental parameters, energy consumption, equipment operation status, etc. of green buildings; The collected data is transmitted to the data center through the data transmission module, and the data transmission methods include wireless network and wired network; The collected data is stored, processed and analyzed in the data center, and the performance of green buildings is evaluated using data analysis algorithms and evaluation models.

3. The green building inspection service process optimization method according to claim 2 is characterized by: The steps for developing a standardized testing process include: Preparation before testing: clarify the testing objectives, testing items and testing standards, and prepare testing equipment and tools; On-site testing: collect on-site data according to standardized procedures to ensure the accuracy and completeness of data collection; Data collection: Collect environmental, energy consumption, noise and other data of green buildings through sensor modules and detection equipment; Data processing: cleaning, classification and preprocessing of collected data; Result analysis: Use data analysis algorithms to analyze the processed data and evaluate the performance of green buildings; Compliance assessment: Evaluate whether the green building complies with relevant standards based on the analysis results and make suggestions for improvement.

4. The green building inspection service process optimization method according to claim 3 is characterized by: The data analysis and evaluation steps include: Clean, classify and preprocess the collected data; Use data analysis algorithms and assessment models to evaluate the performance of green buildings, including energy efficiency, material sustainability, indoor air quality, etc. Generate test reports and evaluation reports based on the evaluation results, and put forward improvement suggestions.

5. The green building inspection service process optimization method according to claim 4 is characterized by: The data analysis and evaluation steps include: Clean, classify and preprocess the collected data; Use data analysis algorithms and assessment models to evaluate the performance of green buildings, including energy efficiency, material sustainability, indoor air quality, etc. Generate test reports and evaluation reports based on the evaluation results, and put forward improvement suggestions.

6. The green building inspection service process optimization method according to claim 5 is characterized by: The step of developing a mobile terminal application includes: Develop mobile terminal applications to facilitate on-site data collection and testing operations for testing personnel; Upload test data to the data center in real time through mobile terminal applications to ensure the real-time and accuracy of data; Customers can query the testing progress and results and communicate with the testing agency through mobile terminal applications.

7. The green building inspection service process optimization method according to claim 6 is characterized by: The sensor module comprises: Environmental parameter sensor: used to collect indoor and outdoor temperature, humidity, and air quality data; Energy consumption monitoring equipment: used to monitor the building's electricity, water, gas and other energy consumption in real time; Noise sensor: used to collect noise levels inside and around the building; Light sensor: used to monitor the light intensity and distribution inside the building.

8. The green building inspection service process optimization method according to claim 7 is characterized by: The data center includes: Data storage unit: used to store the raw data collected by the sensor module; Data processing unit: used to clean, classify and pre-process the collected data; Data Analysis Unit: Use data analysis algorithms and evaluation models to evaluate the performance of green buildings; Report generation unit: used to generate detailed test reports and evaluation reports, including test data, evaluation results and improvement suggestions.

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