Building intelligent engineering construction method

Abstract

The invention relates to the technical field of building construction, in particular to a building intelligent engineering construction method. Comprising the following steps: S1, collecting weather information of workdays at a construction position, and collecting weather information of adjacent regions; s2, storing and sorting the acquired information; according to the method, the weather information of the workday at the construction position is collected, the weather information of the adjacent area is collected at the same time, the collected information is analyzed, and then the corresponding work plan scheme is made, so that the work efficiency is improved, the high-temperature time period and the severe weather are avoided, and after the information is analyzed and sorted in real time, the working efficiency is improved. When sudden weather information of an adjacent area and a construction position is monitored in real time, the future weather change of the construction position can be predicted by combining historical weather information for comparison, and then a corresponding emergency scheme is formulated according to the future weather change, so that the prediction and prevention effects are achieved, and the personal safety of workers is further protected.

Description

Technical Field

[0001] The invention relates to the technical field of building construction, and in particular to a method for intelligent building engineering construction. Background Art

[0002] Intelligent building construction refers to a series of operations that integrate advanced information technology, automatic control technology, communication technology and modern management technology during the construction process to achieve functions such as building equipment automation, office automation, communication network automation, and security management automation.

[0003] Building construction includes exterior wall construction, which refers to the construction and decoration of the exterior walls of a building. This work is not only related to the appearance of the building, but also directly related to the durability and energy efficiency of the building.

[0004] The patent application number is CN202110566193.7, which records in the specification "S1: equipment installation, S2: debugging, S3: entry of personnel and goods, S4: personnel protection measures, S5: signal amplification, S6: module control, S7: remote control, S8: acceptance. The present invention effectively replaces walking on the hanging basket, and operates the locking mechanism to position the hanging basket, prevents the hanging basket from shaking, and reduces the danger. By setting the signal amplification, the control module signal on the equipment can be amplified so that the staff can remotely control it. By setting the module control, it is convenient to automatically control the equipment so that the equipment can stop and start working, which is convenient for operation. The hanging basket can stop and continue to descend at any time to meet the painting needs of the exterior walls of the building, reduce the shaking of the hanging basket, and protect the safety of the staff. The operation is simple and convenient. "; Although the above patent can meet the painting needs of the exterior walls of the building and reduce the shaking of the hanging basket, it is operated in a high-altitude environment. Sudden strong winds and other bad weather will affect the personal safety of the staff, and strong winds will cause the hanging basket to shake.

[0005] To sum up, developing an intelligent building engineering construction method is still a key issue that needs to be urgently solved in the field of building construction technology. Summary of the invention

[0006] In order to solve the above problems, the present invention provides a method for intelligent building engineering construction. The present invention collects weather information on working days at the construction location and weather information in neighboring areas at the same time, and formulates corresponding work plans after analyzing the collected information, so as to improve work efficiency and avoid high temperature periods and bad weather. After real-time analysis and sorting of the information, when sudden weather information in neighboring areas and the construction location is monitored in real time, it can be compared with historical weather information to predict future weather changes at the construction location, and then formulate corresponding emergency plans based on future weather changes, so as to achieve the effect of prediction and prevention, and further protect the personal safety of the staff.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The present invention provides a construction method for intelligent building engineering, comprising the following steps:

[0009] S1. Collect weather information on working days at the construction location and also collect weather information in neighboring areas;

[0010] S2, store and organize the collected information;

[0011] S3. Analyze whether the aerial work can be carried out normally and make a work plan based on the collated information;

[0012] S4, analyzing the collated information to obtain forecast information;

[0013] S5. Make a preparatory plan based on the forecast information;

[0014] S6. Implement the preparatory plan.

[0015] The present invention is further configured as follows: in step S1, the weather information of the construction location on the working day is collected, and the method of collecting the weather information of the neighboring area is:

[0016] After locating the construction site using networked devices, the weather API (abbreviation of Application Programming Interface, usually translated into Chinese as application programming interface) is used to automatically collect information on sunrise and sunset times, visibility, UV index, weather conditions, wind speed and direction, and temperature at the construction site, while also collecting weather conditions in neighboring areas within a 300-kilometer radius.

[0017] The present invention is further configured as follows: in step S2, the method for storing and arranging the collected information is:

[0018] Create a SQL database to store the real-time weather information in the form of date + time. At the same time, deduplicate the collected information and check the integrity of the information, and set up logic to handle abnormal information and verify duplicate information requests.

[0019] The present invention is further configured as follows: in step S3, based on the sorted information, the method for analyzing whether the aerial work can be normally performed and making a work plan is as follows:

[0020] The collated information is compared and analyzed with the safety standards for aerial work, and short-term and long-term plans are formulated to avoid high temperature periods during working days for aerial work, and the plans are notified to the staff in written form.

[0021] The present invention is further configured as follows: in step S3, the method for comparing and analyzing the sorted information with the safety standards for aerial work is:

[0022] According to the safety standards for high-altitude operations, the wind speed safety value is set to FS aq , the actual wind speed is FS sj , the expression formula for wind speed check is: FS-BZ indicates whether the wind speed meets the safety standard. If the actual wind speed is less than or equal to the safety value, the machine will work normally. If it is greater than the safety value, the machine will stop working.

[0023] According to the safety standards for aerial work, the visibility safety value is set to NJ aq , the actual visibility is NJ sj , the expression formula of visibility check is: Among them, NJ-BZ indicates whether the visibility meets the safety standard. If the visibility is greater than or equal to the safety value, work can be carried out;

[0024] According to the safety standard for high-altitude operations, the temperature range safety value is set to WD min , W.D. max , the actual temperature is WD sj , the expression formula for temperature check is:

[0025] NJ-BZ indicates whether the temperature meets the safety standards. If the temperature is within the safety range, the system will work.

[0026] The present invention is further configured as follows: in step S3:

[0027] Set the actual weather conditions to WX according to the safety standards for aerial work sj , normal weather conditions are ZC aq , the weather condition check expression formula is: TQ-BZ indicates whether the weather conditions meet safety standards. If the weather conditions are within the normal acceptable range, work will be carried out;

[0028] According to the safety standards for high-altitude operations, the UV index safety value is set to UV sx , the actual UV index is UV sj , the expression formula for UV index check is: UV-BZ indicates whether the UV index meets the safety standards. If the UV index is within the safety range, work will be carried out.

[0029] After the above checks are met, it can work, and the expression formula is:

[0030] Z=FS-BZ×NJ-BZ×WD-BZ×TQ-BZ×UV-BZ. When Z is 1, high-altitude operations can be carried out. When Z is 0, operations need to be suspended or plans adjusted.

[0031] The present invention is further configured as follows: in step S4, the method for analyzing the sorted information and obtaining the prediction information is:

[0032] Based on the weather information collected and sorted at the construction location on the day, as well as the weather information of neighboring areas, the weather development trend is observed and compared with historical weather information. When sudden weather conditions are found in the construction location and neighboring areas, the weather information affected by the subsequent high-altitude operations at the construction location can be predicted.

[0033] The present invention is further configured as follows: in step S4, when faced with sudden weather information situations, the method of analysis and prediction is: based on the sorted information and the collected historical information, an intelligent prediction model is built, the intelligent prediction model has a deep learning function, and is deployed in the cloud to collect weather data in real time and make predictions. The operation process of the deep learning intelligent prediction model is: for the collected input data Z, the model first maps it to the hidden layer, g (1) = r(Q (1) ×Z+m (1) ), where g (1) is the output of the first layer hidden unit, Q (1) is the weight matrix, mapping the input to the hidden layer, m (1) is the bias vector, r is the activation function, and then the hidden layer is recursively calculated: g (J) = r(Q J ×g (J-1) +m (J) ), this calculation process continues until the last layer of hidden units, the results of the hidden layer are mapped to the final prediction results and calculated output: in is the predicted output of the model, Q (J)and m (J) They are the weight matrix and bias vector of the output layer, and the deep learning intelligent prediction model The difference between the actual output δ is given by the loss function measure: The gradient of the loss function to the weights and biases of each layer is calculated through the back-propagation algorithm, and the weights are updated through the gradient descent algorithm: Where θ is the learning rate, which controls the step size of weight update. After training, the input data Z xin , the prediction formula is:

[0034]

[0035] The present invention is further configured as follows: in step S5, the method for making a preparatory plan based on the prediction information is: after obtaining the key prediction information from the deep learning intelligent prediction model, an emergency plan is formulated.

[0036] The present invention is further configured as follows: in step S6, the method for implementing the preparatory plan is: decomposing the formulated emergency plan, evacuation plan and material protection plan into specific tasks, each task has clear objectives, responsible personnel, required resources and completion time nodes, and simulation drills are organized regularly.

[0037] Beneficial Effects

[0038] Compared with the known public technology, the technical solution provided by the present invention has the following advantages:

[0039] Beneficial effects:

[0040] The present invention collects weather information on working days at the construction location, and at the same time collects weather information in neighboring areas, and formulates corresponding work plans after analyzing the collected information, thereby improving work efficiency and avoiding high temperature periods and severe weather. After real-time analysis and sorting of the information, when sudden weather information in neighboring areas and the construction location is monitored in real time, it can be compared with historical weather information to predict future weather changes at the construction location, and then formulate corresponding emergency plans based on future weather changes, thereby achieving the effect of prediction and prevention, and further protecting the personal safety of workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 The present invention is a flowchart of a construction method for intelligent building engineering. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0043] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0044] The present invention is further described in detail with reference to the accompanying drawings:

[0045] Example:

[0046] like Figure 1 As shown, the present invention provides a construction method for intelligent building engineering, comprising the following steps:

[0047] S1. Collect weather information on working days at the construction location and also collect weather information in neighboring areas.

[0048] Furthermore, in step S1, the method of collecting weather information of the construction location on working days and collecting weather information of the neighboring areas is:

[0049] After locating the construction site using networked devices, the weather API (abbreviation of Application Programming Interface, usually translated into Chinese as application programming interface) is used to automatically collect information on sunrise and sunset times, visibility, UV index, weather conditions, wind speed and direction, and temperature at the construction site, while also collecting weather conditions in neighboring areas within a 300-kilometer radius.

[0050] In this embodiment, after locating the construction location through the Beidou positioning system, the weather API is used to collect weather information of the construction location and neighboring areas within 300 kilometers to ensure the integrity and consistency of the collected information, improve the timeliness and accuracy of obtaining weather conditions at the construction location and neighboring areas, and thus provide information basis for the subsequent work construction plan.

[0051] S2, store and organize the collected information;

[0052] Furthermore, in step S2, the method for storing and organizing the collected information is:

[0053] Create a SQL database to store the real-time weather information in the form of date + time. At the same time, deduplicate the collected information and check the integrity of the information, and set up logic to handle abnormal information and verify duplicate information requests.

[0054] In this embodiment, the acquired weather information is processed and then stored, so that the stored information can be checked and verified easily.

[0055] S3. Analyze whether the aerial work can be carried out normally and make a work plan based on the collated information;

[0056] Further, in step S3, based on the collated information, the method for analyzing whether the aerial work can be carried out normally and making a work plan is as follows:

[0057] The collated information is compared and analyzed with the safety standards for aerial work, and short-term and long-term plans are formulated to avoid high temperature periods during working days for aerial work, and the plans are notified to the staff in written form.

[0058] Further, in step S3, the method for comparing and analyzing the sorted information with the safety standards for aerial work is:

[0059] According to the safety standards for high-altitude operations, the wind speed safety value is set to FS aq , the actual wind speed is FS sj , the expression formula for wind speed check is: FS-BZ indicates whether the wind speed meets the safety standard. If the actual wind speed is less than or equal to the safety value, the machine will work normally. If it is greater than the safety value, the machine will stop working.

[0060] According to the safety standards for aerial work, the visibility safety value is set to NJ aq , the actual visibility is NJ sj , the expression formula of visibility check is: Among them, NJ-BZ indicates whether the visibility meets the safety standard. If the visibility is greater than or equal to the safety value, work can be carried out;

[0061] According to the safety standard for high-altitude operations, the temperature range safety value is set to WD min , W.D. max , the actual temperature is WD sj , the expression formula for temperature check is:

[0062] NJ-BZ indicates whether the temperature meets the safety standards. If the temperature is within the safety range, the system will work.

[0063] Further, in step S3:

[0064] Set the actual weather conditions to WX according to the safety standards for aerial work sj , normal weather conditions are ZC aq , the weather condition check expression formula is: TQ-BZ indicates whether the weather conditions meet safety standards. If the weather conditions are within the normal acceptable range, work will be carried out;

[0065] According to the safety standards for high-altitude operations, the UV index safety value is set to UV sx , the actual UV index is UV sj , the expression formula for UV index check is: UV-BZ indicates whether the UV index meets the safety standards. If the UV index is within the safety range, work will be carried out.

[0066] After the above checks are met, it can work, and the expression formula is:

[0067] Z=FS-BZ×NJ-BZ×WD-BZ×TQ-BZ×UV-BZ. When Z is 1, high-altitude operations can be carried out. When Z is 0, operations need to be suspended or plans adjusted.

[0068] In this embodiment, a reasonable high-altitude work plan is formulated based on analysis and comparison of high-altitude work safety standards and the collated information, which can comprehensively cover the work progress, reduce the impact of weather changes on the work progress, help staff improve work efficiency, reasonably arrange work time, and reduce the work intensity brought to staff by the weather environment.

[0069] S4, analyzing the collated information to obtain forecast information;

[0070] Furthermore, in step S4, the method of analyzing the sorted information and obtaining the prediction information is as follows:

[0071] Based on the weather information collected and sorted at the construction location on the day, as well as the weather information of neighboring areas, the weather development trend is observed and compared with historical weather information. When sudden weather conditions are found in the construction location and neighboring areas, the weather information affected by the subsequent high-altitude operations at the construction location can be predicted.

[0072] Furthermore, in step S4, when faced with sudden weather information situations, the analysis and prediction method is as follows: based on the sorted information and the collected historical information, an intelligent prediction model is built. The intelligent prediction model has a deep learning function and is deployed in the cloud to collect weather data in real time and make predictions. The operation process of the deep learning intelligent prediction model is as follows: for the collected input data Z, the model first maps it to the hidden layer, g (1) = r(Q (1) ×Z+m (1) ), where g (1) is the output of the first layer hidden unit, Q (1) is the weight matrix, mapping the input to the hidden layer, m (1) is the bias vector, r is the activation function, and then the hidden layer is recursively calculated: g (J) = r(Q J ×g (J-1) +m (J) ), this calculation process continues until the last layer of hidden units, the results of the hidden layer are mapped to the final prediction results and calculated output: in is the predicted output of the model, Q (J) and m (J) They are the weight matrix and bias vector of the output layer, and the deep learning intelligent prediction model The difference between the actual output δ is given by the loss function measure: The gradient of the loss function to the weights and biases of each layer is calculated through the back-propagation algorithm, and the weights are updated through the gradient descent algorithm: Where θ is the learning rate, which controls the step size of weight update. After training, the input data Z xin , the prediction formula is:

[0073]

[0074] In this embodiment, real-time monitoring and prediction of sudden weather events through a deep learning intelligent prediction model is conducive to timely detection of emergencies, prediction of the impact of emergencies on subsequent construction progress, and help staff adjust work plans in a timely manner.

[0075] S5. Make a preparatory plan based on the forecast information;

[0076] Furthermore, in step S5, the method for making a preparatory plan based on the prediction information is: after obtaining the key prediction information from the deep learning intelligent prediction model, an emergency plan is formulated.

[0077] In this embodiment, after the staff obtains the forecast information, they formulate corresponding emergency plans based on the weather information of the forecast information, take suspension measures and evacuation plans in extreme weather conditions to ensure the personal safety of the staff, and formulate a construction material protection plan.

[0078] S6. Implement the preparatory plan;

[0079] Furthermore, in step S6, the method for implementing the preparatory plan is: decomposing the formulated emergency plan, evacuation plan and material protection plan into specific tasks, with each task clearly defining the goal, responsible personnel, required resources and completion time node, and organizing simulation drills regularly.

[0080] In this embodiment, after the staff receives the information of implementing the preparatory plan, they immediately control the hanging basket to rise, avoid continuing the high-altitude operation, protect the personal safety of the staff in time, and play a preventive effect.

[0081] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A construction method for intelligent building engineering, characterized in that: The following steps are involved: S1. Collect weather information on working days at the construction location and also collect weather information in neighboring areas; S2, store and organize the collected information; S3. Analyze whether the aerial work can be carried out normally and make a work plan based on the collated information; S4, analyzing the collated information to obtain forecast information; S5. Make a preparatory plan based on the forecast information; S6. Implement the preparatory plan.

2. A construction method for intelligent building engineering according to claim 1, characterized in that: In step S1, the method for collecting weather information of the construction location on working days and the weather information of the neighboring areas is: After locating the construction site using networked devices, the weather API (Application Programming Interface) is used to automatically collect information on sunrise and sunset times, visibility, UV index, weather conditions, wind speed and direction, and temperature at the construction site, while also collecting weather conditions in neighboring areas within a 300-kilometer radius.

3. A construction method for intelligent building engineering according to claim 2, characterized in that: In step S2, the method for storing and organizing the collected information is: Create a SQL database to store the real-time weather information in the form of date + time. At the same time, deduplicate the collected information and check the integrity of the information, and set up logic to handle abnormal information and verify duplicate information requests.

4. A construction method for intelligent building engineering according to claim 3, characterized in that: In step S3, based on the collated information, the method for analyzing whether the aerial work can be carried out normally and making a work plan is as follows: The collated information is compared and analyzed with the safety standards for aerial work, and short-term and long-term plans are formulated to avoid high temperature periods during working days for aerial work, and the plans are notified to the staff in written form.

5. A construction method for intelligent building engineering according to claim 4, characterized in that: In step S3, the method for comparing and analyzing the collated information with the safety standards for aerial work is as follows: According to the safety standards for high-altitude operations, the wind speed safety value is set to FS aq , the actual wind speed is FS sj , the expression formula for wind speed check is: FS-BZ indicates whether the wind speed meets the safety standard. If the actual wind speed is less than or equal to the safety value, the machine will work normally. If it is greater than the safety value, the machine will stop working. According to the safety standards for aerial work, the visibility safety value is set to NJ aq , the actual visibility is NJ sj , the expression formula of visibility check is: Among them, NJ-BZ indicates whether the visibility meets the safety standard. If the visibility is greater than or equal to the safety value, work can be carried out; According to the safety standard for high-altitude operations, the temperature range safety value is set to WD min , W.D. max , the actual temperature is WD sj , the expression formula for temperature check is: NJ-BZ indicates whether the temperature meets the safety standards. If the temperature is within the safety range, the system will work.

6. A construction method for intelligent building engineering according to claim 5, characterized in that: In step S3: Set the actual weather conditions to WX according to the safety standards for aerial work sj , normal weather conditions are ZC aq , the weather condition check expression formula is: TQ-BZ indicates whether the weather conditions meet safety standards. If the weather conditions are within the normal acceptable range, work will be carried out; According to the safety standards for high-altitude operations, the UV index safety value is set to UV sx , the actual UV index is UV sj , the expression formula for UV index check is: UV-BZ indicates whether the UV index meets the safety standards. If the UV index is within the safety range, work will be carried out. After the above checks are met, it can work, and the expression formula is: Z=FS-BZ×NJ-BZ×WD-BZ×TQ-BZ×UV-BZ. When Z is 1, high-altitude operations can be carried out. When Z is 0, operations need to be suspended or plans adjusted.

7. A construction method for intelligent building engineering according to claim 6, characterized in that: In step S4, the method of analyzing the sorted information and obtaining the prediction information is as follows: Based on the weather information collected and sorted on the day of the construction location, as well as the weather information of neighboring areas, the weather development trend is observed and compared with historical weather information. When sudden weather conditions are found in the construction location and neighboring areas, the weather information affected by the subsequent high-altitude operations at the construction location can be predicted.

8. A construction method for intelligent building engineering according to claim 7, characterized in that: In step S4, when faced with sudden weather information, the analysis and prediction method is: based on the sorted information and the collected historical information, an intelligent prediction model is built. The intelligent prediction model has a deep learning function and is deployed in the cloud to collect weather data in real time and make predictions. The operation process of the deep learning intelligent prediction model is: for the collected input data Z, the model first maps it to the hidden layer, g (1) = r(Q (1) ×Z+m (1) ), where g (1) is the output of the first layer hidden unit, Q (1) is the weight matrix, mapping the input to the hidden layer, m (1) is the bias vector, r is the activation function, and then the hidden layer is recursively calculated: g (J) = r(Q J ×g (J-1) +m (J) ), this calculation process continues until the last layer of hidden units, the results of the hidden layer are mapped to the final prediction results and calculated output: in is the predicted output of the model, Q (J) and m (J) They are the weight matrix and bias vector of the output layer, and the deep learning intelligent prediction model The difference between the actual output δ is given by the loss function T measure: The gradient of the loss function to the weights and biases of each layer is calculated through the back-propagation algorithm, and the weights are updated through the gradient descent algorithm: Where θ is the learning rate, which controls the step size of weight update. After training, the input data Z xin , the prediction formula is:

9. A construction method for intelligent building engineering according to claim 8, characterized in that: In step S5, the method for making a preparatory plan based on the prediction information is: after obtaining the key prediction information from the deep learning intelligent prediction model, formulate an emergency plan.

10. A construction method for intelligent building engineering according to claim 8, characterized in that: In step S6, the method for implementing the preparatory plan is to decompose the formulated emergency plan, evacuation plan and material protection plan into specific tasks, with each task clearly defining the goal, responsible personnel, required resources and completion time node, and at the same time regularly organizing simulation drills.

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