Engineering information query method and system based on Internet of Things

Abstract

The invention provides an engineering information query method based on the Internet of Things. The method comprises the following steps: acquiring energy consumption data and consumable consumption of an engineering site; the construction progress is obtained through the actual construction completion condition of the engineering site; cost prediction is carried out through the energy consumption data, the consumable amount and the construction progress, and cost information is obtained; performing real-time positioning on field personnel to obtain a personnel distribution condition; building stability is calculated according to the actual building parameters and the environment data; different early warning signals are generated according to the cost information and the building stability; and visually displaying the energy consumption data, the consumption of consumables, the construction progress, the cost information, the personnel distribution condition, the building stability and the early warning signal on the three-dimensional model. According to the method, the energy consumption, the consumable consumption and the construction progress of the engineering site are monitored in real time through the Internet of Things technology and are integrated on a unified platform, so that the timeliness and the accuracy of information acquisition are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and particularly to an engineering information query method and system based on the Internet of Things. Background Art

[0002] With the rapid development of the construction industry, the complexity of project management has been increasing continuously. Traditional engineering information management methods mainly rely on manual records and manual calculations, usually involving multiple data sources, such as energy consumption, consumption of consumables, and construction progress, etc. The acquisition and analysis of these data are often scattered, lacking real-time and systematicness.

[0003] Currently, sensor-based monitoring systems, construction management software, and data analysis tools are mainly adopted. However, there are still problems in the prior art such as insufficient real-time performance, difficulty in data integration, and lack of an early warning mechanism. Existing monitoring systems usually can only provide limited energy consumption data, and the construction progress and cost also rely on manual input, resulting in lagging information updates and being unable to reflect the actual situation on-site in a timely manner. In addition, data from different sources are often difficult to effectively integrate, leading to the phenomenon of information islands, which affects the accuracy of decision-making. At the same time, existing systems lack an intelligent early warning mechanism based on real-time data, and often cannot identify potential risks and problems in a timely manner, reducing the safety of project management. Therefore, it is very necessary to design an engineering information query method and system based on the Internet of Things. Summary of the Invention

[0004] The object of the present invention is to provide an engineering information query method and system based on the Internet of Things, which can monitor the energy consumption, consumption of consumables, and construction progress of the engineering site in real time through the Internet of Things technology and integrate them on a unified platform to improve the timeliness and accuracy of information acquisition.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] An engineering information query method based on the Internet of Things, comprising the following steps:

[0007] Obtain the energy consumption data and consumption of consumables at the engineering site;

[0008] Obtain the construction progress based on the actual construction completion situation at the engineering site;

[0009] Perform cost prediction through the energy consumption data, consumption of consumables, and construction progress to obtain cost information; the cost information includes: generated cost and predicted cost;

[0010] Perform real-time positioning on on-site personnel to obtain the personnel distribution situation;

[0011] Calculate the building stability based on the actual parameters of the building and environmental data; the building stability includes: local stability and overall stability;

[0012] Generate different warning signals based on cost information and building stability;

[0013] Visualize energy consumption data, consumable usage, construction progress, cost information, personnel distribution, building stability, and warning signals on a 3D model.

[0014] Optionally, the energy consumption data includes: transformer power consumption, main distribution box power consumption, distribution box power consumption, fire water consumption, on-site construction water consumption, living area water consumption, and office area water consumption; the consumable usage includes: labor usage, material consumption, and machinery usage.

[0015] Optionally, the formula for the incurred cost is: where Y c is the incurred cost, E t is the transformer power consumption, E d is the main distribution box power consumption, E f is the distribution box power consumption, W c is the on-site construction water consumption, W l is the living area water consumption, W o is the office area water consumption, A is the labor usage, M i is the consumption of the i-th material, H j is the usage of the j-th machinery, C d is the unit price of electricity, C s is the unit price of water, C r is the unit price of labor, C ci is the unit price of the i-th material, C xj is the usage unit price of the j-th machinery, n is the type of materials, and m is the type of machinery.

[0017] Optionally, the formula for the predicted cost is: where Y y is the predicted cost, Y c is the incurred cost, P d is the current construction progress, k is the current construction node number, V i is the completion speed of the i-th construction node, D i is the time difference between the i-th construction node and the current construction node, V q is the other construction progress influencing factors.

[0018] Optionally, the formula for local stability is: where Sa For local stability, h a is the local height of the building, B a is the local maximum load value of the building, C is a constant, V f is the wind speed, R a is the local wall strength of the building, G a is the local wall contact area of the building, M a is the local wall density of the building.

[0019] Optionally, the calculation formula for overall stability is: where S z is the overall stability, B z is the overall load value of the building, S a is the local stability, h z is the overall height of the building, G z is the contact area between the building and the foundation, and θ is the inclination angle of the building.

[0020] Optionally, different warning signals are generated according to cost information and building stability, including:

[0021] When the proportion of the incurred cost in the total cost exceeds the construction progress, a cost anomaly warning signal is generated;

[0022] When the predicted cost exceeds the total cost, a control cost warning signal is generated;

[0023] When the local stability exceeds the local threshold, a local anomaly warning signal is generated;

[0024] When the overall stability exceeds the overall threshold, an overall anomaly warning signal is generated.

[0025] An engineering information query system based on the Internet of Things, including:

[0026] An energy monitoring module for obtaining energy consumption data at the engineering site; the energy monitoring module includes: an electricity monitoring unit, a fire monitoring unit, and a water consumption monitoring unit; the electricity monitoring unit is used to monitor the electricity consumption of transformers, main distribution boxes, and distribution boxes, the fire monitoring unit is used to monitor the fire water consumption, and the water consumption monitoring unit is used to monitor the water consumption for on-site construction, in the living area, and in the office area;

[0027] A material management module for obtaining the consumption of consumables at the engineering site; the material management module includes: a manual statistics unit, a material statistics unit, and a machinery statistics unit; the manual statistics unit is used to count the manual usage, the material statistics unit is used to count the material consumption, and the machinery statistics unit is used to count the machinery usage;

[0028] The progress acquisition module is used to obtain the construction progress based on the actual construction completion situation at the project site. The progress acquisition module includes: a progress acquisition unit and a progress calculation unit. The progress acquisition unit is used to collect the actual construction situation on site, and the progress calculation unit is used to calculate the construction progress based on the actual construction situation on site;

[0029] The cost calculation module is used to predict the cost through energy consumption data, consumable usage, and construction progress to obtain cost information;

[0030] The positioning module is used to perform real-time positioning on the on-site personnel to obtain the personnel distribution situation. The positioning module includes: a camera unit and a positioning unit. The camera unit is used to collect real-time images of different positions at the project site, and the positioning unit performs real-time positioning on the on-site personnel through the GPS positioning system;

[0031] The quality monitoring module is used to calculate the building stability based on the actual building parameters and environmental data. The quality monitoring module includes: a quality collection unit and an environmental monitoring unit. The quality collection unit is used to collect test data at different positions of the building, and the environmental monitoring unit is used to monitor the wind speed in real time;

[0032] The warning module is used to generate different warning signals based on the cost information and building stability;

[0033] The three-dimensional display module is used to visually display the energy consumption data, consumable usage, construction progress, cost information, personnel distribution situation, building stability, and warning signals. The three-dimensional display module includes: a modeling unit and a query unit. The modeling unit is used to generate a 3D model, and the query unit is used to query information by clicking on different positions of the 3D model.

[0034] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: The engineering information query method based on the Internet of Things provided by the present invention includes: obtaining the energy consumption data and consumable usage at the project site; obtaining the construction progress based on the actual construction completion situation at the project site; predicting the cost through the energy consumption data, consumable usage, and construction progress to obtain cost information; performing real-time positioning on the on-site personnel to obtain the personnel distribution situation; calculating the building stability based on the actual building parameters and environmental data; generating different warning signals based on the cost information and building stability; visually displaying the energy consumption data, consumable usage, construction progress, cost information, personnel distribution situation, building stability, and warning signals on a three-dimensional model. Description of the Drawings

[0035] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0036] Figure 1 Flow chart of the engineering information query method of the present invention;

[0037] Figure 2 Structural diagram of the engineering information query system of the present invention;

[0038] Figure 3 Internal structural diagram of the energy monitoring module of the present invention;

[0039] Figure 4 Internal structural diagram of the material management module of the present invention.

[0040] Description of the drawings: 1. Energy monitoring module; 11. Electric quantity monitoring unit; 12. Fire monitoring unit; 13. Water consumption monitoring unit; 2. Material management module; 21. Manual statistics unit; 22. Material statistics unit; 23. Machinery statistics unit; 3. Progress acquisition module; 4. Cost calculation module; 5. Positioning module; 6. Quality monitoring module; 7. Early warning module; 8. Three-dimensional display module. Detailed implementation manners

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0042] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific implementation manners.

[0043] As Figure 1 shown, the present invention provides an engineering information query method based on the Internet of Things, including the following steps:

[0044] Step 100: Obtain the energy consumption data and consumable material usage at the engineering site.

[0045] Specifically, the energy consumption data includes: transformer power consumption, main distribution box power consumption, distribution box power consumption, fire water consumption, on-site construction water consumption, living area water consumption, and office area water consumption; the consumable material usage includes: manual usage, material consumption, and machinery usage.

[0046] More specifically, the monitoring of power consumption is achieved by installing smart electricity meters in transformers, main distribution boxes, and distribution boxes. There are multiple transformers, main distribution boxes, and distribution boxes. The main distribution boxes are directly connected to the transformers and supply power to different positions at the construction site through the distribution boxes. During construction operations, the situation of unauthorized wiring often occurs. It is time-consuming and laborious to conduct inspections on the distribution boxes manually, and the locations of unauthorized wiring cannot be accurately detected. By comparing the power consumption of transformers, main distribution boxes, and distribution boxes, the distribution boxes with abnormal power consumption can be accurately found, thereby achieving precise control of on-site electricity consumption.

[0047] More specifically, the monitoring of water consumption is achieved by installing flow meters on fire pipelines and each branch water supply pipeline. By monitoring the differences in water consumption at different positions on-site, the water supply volume at different positions can be more precisely controlled, and project managers can timely understand the water usage situation during the construction period, which is convenient for cost control and resource utilization.

[0048] More specifically, the manual usage statistics table is obtained by project management personnel summarizing the additional man-hours used at different construction positions. The material consumption statistics table is obtained by tracking and recording all incoming materials through RFID technology. The machinery usage statistics table is obtained by monitoring the actual working time and fault shutdown time of mechanical equipment through monitoring devices.

[0049] It should be noted that through the Internet of Things technology, the data statistics and integration of the energy and material usage in the overall construction site have realized the real-time, accurate, and efficient project management.

[0050] Step 200: Obtain the construction progress based on the actual construction completion situation at the construction site.

[0051] Specifically, the actual construction completion situation and the time used are obtained according to the monitoring device and manual acceptance data. The current construction progress is obtained by calculating the percentage of the actual completed workload in the total workload, and the time difference between two adjacent construction nodes is obtained.

[0052] It should be noted that the real-time monitoring of the monitoring device and the regular update of the manual acceptance data ensure the accuracy and timeliness of the obtained construction progress.

[0053] Step 300: Conduct cost prediction based on energy consumption data, consumable usage, and construction progress to obtain cost information. The cost information includes: incurred cost and predicted cost.

[0054] Specifically, the incurred costs include: electricity costs, water costs, labor costs, material costs, and machinery costs. Different mathematical representations are used to reflect the impact of different electricity levels on costs. The impact of the working hours of construction workers on electricity costs is simulated by sinusoidally varying the labor usage. The impact of water consumption on costs is represented by the ratio of the sum of the squares of each water consumption to the square of the total water consumption, and it is correlated with the total electricity consumption (transformer electricity consumption). When machinery is in use, the labor cost shows an exponential upward trend, and material consumption also affects the machinery usage cost. The greater the material usage, the higher the machinery cost. The calculation formula for the incurred costs is:

[0055]

[0056] Among them, Y c is the incurred cost, E t is the transformer electricity consumption, E d is the main distribution box electricity consumption, E f is the distribution box electricity consumption, W c is the on-site construction water consumption, W l is the living area water consumption, W o is the office area water consumption, A is the labor usage, M i is the consumption of the i-th material, H j is the usage of the j-th machinery, C d is the electricity unit price, C s is the water fee unit price, C r is the labor unit price, C ci is the unit price of the i-th material, C xj is the usage unit price of the j-th machinery, n is the type of materials, and m is the type of machinery.

[0057] Specifically, the increase in costs has a non-linear relationship with the construction progress and is affected by the construction efficiency. When the progress is about to be completed, the construction speed will gradually slow down. As the construction period progresses, the uncertain factors will gradually increase, resulting in an exponential increase in costs. The setting of different construction nodes makes the completion times of the nodes different, and the impact on costs is also different. Therefore, the square root of the time between the nodes is used to stabilize its impact on cost prediction. The calculation formula for the predicted cost is:

[0058]

[0059] Among them, Y y is the predicted cost, Y c is the incurred cost, P d is the current construction progress, k is the current number of construction nodes, V i is the completion speed of the i-th construction node, D iis the time difference between the i-th construction node and the current construction node, V q are the remaining construction progress influencing factors.

[0060] Step 400: Perform real-time positioning on the on-site personnel to obtain the personnel distribution.

[0061] Specifically, a positioning device is set in the safety helmet, and real-time positioning is carried out through GPS technology, and a personnel distribution map is generated to realize the dynamic management of on-site human resources.

[0062] It should be noted that by analyzing the personnel distribution, the personnel gathering situation in a specific area can be monitored and the safety of the construction site can be ensured. The work can also be assigned according to the actual positions of the personnel to optimize the labor efficiency.

[0063] Step 500: Calculate the building stability based on the actual parameters of the building and the environmental data. The building stability includes: local stability and overall stability.

[0064] Specifically, the calculation formula for local stability is:

[0065]

[0066] Among them, S a is the local stability, h a is the local height of the building, which affects the load borne by the wall and the stability of the structure, B a is the local maximum load value of the building, C is a constant, V f is the wind speed, R a is the local wall strength of the building, which affects the wall's resistance to the load, G a is the local wall contact area of the building, which affects the overall stability and load distribution, M a is the local wall density of the building.

[0067] It should be noted that the correlation between the wind speed and the force is represented by multiplying a constant k, and the wind speed has an exponential influence relationship on the local stability. The contribution of the building materials to the wall strength is reflected by the square root of the local wall density of the building. When the wall contact area and the wall strength increase, the local stability will increase.

[0068] Specifically, the calculation formula for overall stability is:

[0069]

[0070] Among them, S z is the overall stability, B z is the overall load value of the building, S a is the local stability, hz is the overall height of the building, G z is the contact area between the building and the foundation, and θ is the inclination angle of the building.

[0071] It should be noted that the overall load value of the building represents the total load borne by the entire building, which includes static loads, live loads, etc., and reflects the overall pressure faced by the building. The overall height of the building will affect the overall center of gravity and stability of the building. The inclination angle of the building is expressed in degrees, which will affect the stability of the building under the action of load and gravity.

[0072] Step 600: Generate different warning signals based on cost information and building stability.

[0073] Specifically, when the proportion of the generated cost in the total cost exceeds the construction progress, a cost anomaly warning signal is generated; when the predicted cost exceeds the total cost, a control cost warning signal is generated; when the local stability exceeds the local threshold, a local anomaly warning signal is generated; when the overall stability exceeds the overall threshold, an overall anomaly warning signal is generated.

[0074] Step 700: Visualize the energy consumption data, consumable material usage, construction progress, cost information, personnel distribution, building stability, and warning signals on a 3D model.

[0075] As Figure 2 shown, the present invention also provides an engineering information query system based on the Internet of Things, including:

[0076] An energy monitoring module 1 for obtaining energy consumption data at the engineering site; a material management module 2 for obtaining the consumable material usage at the engineering site; a progress acquisition module 3 for obtaining the construction progress through the actual construction completion situation at the engineering site; a cost calculation module 4 for predicting the cost through the energy consumption data, consumable material usage, and construction progress to obtain cost information; a positioning module 5 for real-time positioning of on-site personnel to obtain the personnel distribution; a quality monitoring module 6 for calculating the building stability according to the actual parameters of the building and environmental data; a warning module 7 for generating different warning signals based on the cost information and building stability; and a 3D display module 8 for visualizing the energy consumption data, consumable material usage, construction progress, cost information, personnel distribution, building stability, and warning signals.

[0077] Specifically as Figure 3As shown in the figure, the energy monitoring module 1 includes: an electricity quantity monitoring unit 11, a fire monitoring unit 12, and a water consumption monitoring unit 13. The electricity quantity monitoring unit 11 monitors the electricity consumption of transformers, main distribution boxes, and distribution boxes by collecting real-time data from smart electricity meters, and transmits the collected data to the 3D display module 8. The fire monitoring unit 12 monitors the fire water consumption and the water storage volume of the fire water tank by collecting real-time data from the flow meters installed on the fire pipelines and the liquid level gauges of the fire water tanks, and transmits the collected data to the 3D display module 8; when the height of the liquid level gauge is lower than the fire water level (i.e., when the water storage volume of the fire water tank is lower than the safety threshold), a water level warning signal is generated; when the height of the liquid level gauge is lower than the limit water level (i.e., when the water storage volume of the fire water tank is lower than the water supply threshold), a fire safety warning signal is generated, and the switch valve of the fire pipeline is closed. The water consumption monitoring unit 13 monitors the on-site construction water consumption, living area water consumption, and office area water consumption by collecting real-time data from the flow meters on the branch water supply pipelines, and transmits the collected data to the 3D display module 8.

[0078] Specifically, as Figure 4 shown in the figure, the material management module 2 includes: a manual statistics unit 21, a material statistics unit 22, and a machinery statistics unit 23. Project management personnel send the manual usage statistics form to the 3D display module 8 through the manual statistics unit 21 to obtain the manual usage quantity. The RFID technology built into the material statistics unit 22 is used to obtain the material outbound situation and usage routes, and after the project management personnel confirm the actual consumption situation on-site, a material consumption statistics form including the material consumption quantity and material usage routes is obtained. The machinery statistics unit 23 monitors the actual working time and fault shutdown time of mechanical equipment through monitoring devices to obtain a machinery usage statistics form including the machinery usage quantity.

[0079] Specifically, the positioning module 5 includes: a camera unit and a positioning unit. The camera unit is composed of high-definition cameras set at different positions on the construction site and is used to collect real-time images of different positions on the construction site. The positioning unit performs real-time positioning on on-site personnel through the GPS positioning system.

[0080] Specifically, the progress acquisition module 3 includes: a progress acquisition unit and a progress calculation unit. The progress acquisition unit is used to obtain the actual construction completion situation and the time used based on the monitoring device and manual acceptance data. The progress calculation unit is used to obtain the current construction progress by calculating the percentage of the actual completed workload in the total workload, and obtain the time difference between the completion of two adjacent construction nodes.

[0081] Specifically, the quality monitoring module 6 includes: a quality collection unit and an environmental monitoring unit. The quality collection unit is used to collect test data at different positions of the building. The test data is obtained through on-site tests, design drawings, and laboratory tests, including: the height at different positions of the building, the strength of different walls of the building, the contact area between different walls of the building, the density of different walls of the building, the overall height of the building, the contact area between the building and the foundation, and the inclination angle of the building, etc. The environmental monitoring unit monitors the wind speed in real time through the wind speed sensor on the outer wall.

[0082] Specifically, the three-dimensional display module 8 includes: a modeling unit and a query unit. The modeling unit generates 3D models of the overall building and various data collection devices through BIM technology, and combines different 3D models to form an overall blueprint model of the project site. The query unit queries the corresponding information by clicking on the 3D models at different positions in the overall blueprint model.

[0083] The beneficial effects of the present invention are as follows:

[0084] 1) Through the Internet of Things technology, the data statistics and integration of the energy and material usage of the overall project site are realized, achieving the real-time, accurate, and efficient engineering management.

[0085] 2) Through different relevant data calculations, the whole-process calculation of the project cost and the final cost prediction are realized, and the material procurement and construction plan can be adjusted in real time, greatly reducing the construction cost.

[0086] 3) The stability calculated from the actual data of the building reflects the construction quality, can timely detect quality problems, and improves the safety of the project.

[0087] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is to illustrate the differences from other embodiments. The same or similar parts among the embodiments can be referred to each other.

[0088] Specific examples are applied in the present invention to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. An engineering information query method based on the Internet of Things, characterized in that: The steps include: Obtain energy consumption data and consumables usage at the project site; Get the construction progress through the actual construction completion status at the project site; Cost forecasting is performed through the energy consumption data, the consumables usage and the construction progress to obtain cost information; the cost information includes: incurred costs and predicted costs; Locate on-site personnel in real time to obtain personnel distribution information; The building stability is calculated based on the actual parameters of the building and the environmental data; the building stability includes: local stability and overall stability; generating different early warning signals according to the cost information and the building stability; The energy consumption data, the consumables usage, the construction progress, the cost information, the personnel distribution, the building stability and the early warning signal are visualized on the three-dimensional model.

2. The engineering information query method based on the Internet of Things according to claim 1 is characterized in that: The energy consumption data includes: transformer power consumption, total distribution box power consumption, distribution box power consumption, fire fighting water consumption, on-site construction water consumption, living area water consumption and office area water consumption; the consumables consumption includes: labor consumption, material consumption and machinery consumption.

3. The engineering information query method based on the Internet of Things according to claim 1 is characterized in that: The calculation formula for the incurred costs is: Among them, Y c is the cost incurred, E t is the power consumption of the transformer, E d is the total power consumption of the distribution box, E f To distribute the power consumption of the electric box, W c is the water consumption for on-site construction, W l is the water consumption in the living area, W o is the water consumption of the office area, A is the labor consumption, M i is the consumption of the i-th material, H j is the usage of the jth type of machinery, C d is the unit price of electricity, C s is the unit price of water, C r is the labor unit price, C ci is the unit price of the i-th material, C xj is the unit price of the j-th machine, n is the type of material, and m is the type of machine.

4. The engineering information query method based on the Internet of Things according to claim 1 is characterized in that: The calculation formula of the predicted cost is: Among them, Y y To predict the cost, Y c is the cost incurred, P d is the current construction progress, k is the number of current construction nodes, V i is the completion speed of the i-th construction node, D i is the time difference between the i-th construction node and the current construction node, V q Other factors affecting the construction progress.

5. The engineering information query method based on the Internet of Things according to claim 1 is characterized in that: The calculation formula of the local stability is: Among them, S a is the local stability, h a is the local height of the building, B a is the local maximum load value of the building, C is a constant, V f is the wind speed, R a is the local wall strength of the building, G a is the local wall contact area of ​​the building, M a is the local wall density of the building.

6. The engineering information query method based on the Internet of Things according to claim 1 is characterized in that: The calculation formula of the overall stability is: Among them, S z is the overall stability, B z is the overall load value of the building, S a is the local stability, h z is the overall height of the building, G z is the contact area between the building and the foundation, and θ is the inclination angle of the building.

7. The engineering information query method based on the Internet of Things according to claim 1 is characterized in that: Different early warning signals are generated according to the cost information and the building stability, including: When the proportion of the incurred cost to the total cost exceeds the construction progress, a cost abnormality warning signal is generated; When the predicted cost exceeds the total cost, generating a cost control warning signal; When the local stability exceeds a local threshold, a local abnormality warning signal is generated; When the overall stability exceeds the overall threshold, an overall abnormality warning signal is generated.

8. An engineering information query system based on the Internet of Things, characterized in that: include: Energy monitoring module, used to obtain energy consumption data at the project site; The energy monitoring module includes: an electric power monitoring unit, a fire monitoring unit and a water use monitoring unit; the electric power monitoring unit is used to monitor the power consumption of the transformer, the power consumption of the main distribution box and the power consumption of the distribution box, the fire monitoring unit is used to monitor the fire water consumption, and the water use monitoring unit is used to monitor the water consumption of on-site construction, the water consumption of the living area and the water consumption of the office area; A material management module is used to obtain the consumable material usage at the engineering site; the material management module includes: a labor statistics unit, a material statistics unit and a machinery statistics unit; the labor statistics unit is used to count the labor usage, the material statistics unit is used to count the material consumption, and the machinery statistics unit is used to count the machinery usage; A progress acquisition module is used to obtain the construction progress according to the actual construction completion status of the project site; the progress acquisition module includes: a progress acquisition unit and a progress calculation unit; the progress acquisition unit is used to collect the actual construction status on site, and the progress calculation unit is used to calculate the construction progress according to the actual construction status on site; A cost calculation module, used to perform cost forecasting based on the energy consumption data, the consumables usage and the construction progress to obtain cost information; A positioning module is used to locate the on-site personnel in real time and obtain the personnel distribution situation; the positioning module includes: a camera unit and a positioning unit; the camera unit is used to collect real-time images of different locations at the project site, and the positioning unit locates the on-site personnel in real time through a GPS positioning system; A quality monitoring module is used to calculate the building stability according to the actual parameters of the building and the environmental data; the quality monitoring module includes: a quality collection unit and an environmental monitoring unit; the quality collection unit is used to collect test data at different locations of the building, and the environmental monitoring unit is used to monitor the wind speed in real time; An early warning module, used for generating different early warning signals according to the cost information and the building stability; A three-dimensional display module is used to visualize the energy consumption data, the consumables usage, the construction progress, the cost information, the personnel distribution, the building stability and the early warning signal; the three-dimensional display module includes: a modeling unit and a query unit; the modeling unit is used to generate a 3D model, and the query unit is used to query information by clicking on different positions of the 3D model.

Images