CN-122026607-A - Construction machinery equipment energy monitoring system and method based on multi-source data integration

Abstract

The invention discloses an energy monitoring system and method for construction machinery based on multi-source data integration, wherein the system comprises an acquisition module, a control module, an evaluation module, an analysis module and a decision module, wherein the acquisition module comprises a first acquisition unit, a second acquisition unit and a third acquisition unit, the control module is connected with the acquisition module, the evaluation module is used for dynamically evaluating the operation efficiency of construction machinery based on power load data of the construction machinery, the evaluation module is connected with the control module, the analysis module is used for constructing a prediction model to predict the energy consumption trend of the construction machinery by utilizing a deep learning algorithm based on energy monitoring data flow and the operation efficiency of the corresponding construction machinery, the decision module is connected with the control module and the analysis module, and the decision module is used for adjusting the energy supply scheme of the construction machinery based on real-time energy monitoring data and the energy consumption trend. The invention solves the problem that the energy supply is unbalanced because the traditional single power monitoring system cannot adjust the energy supply mode in real time on the construction site.

Inventors

• WANG LIZHEN
• LI GANG
• GAO XUAN
• WEN WEIJUN
• HAN LU
• LIN WENBIAO
• CUI CAN
• HU JIAHANG
• WU KAI
• Huo Zerui
• FANG XUEFEI

Assignees

• 中建八局科技建设有限公司
• 中建未来智造科技(上海)有限公司

Dates

Publication Date

20260512

Application Date

20251230

Claims (5)

1. 1. An energy monitoring system for construction machinery equipment based on multi-source data integration, comprising: The collection module comprises a first collection unit for collecting electric energy generated by the photovoltaic system, a second collection unit for collecting the storage amount of the electric energy of the energy storage system and a third collection unit for collecting working state data of the construction machine; the control module is used for acquiring the electric energy, the storage capacity and the working state data to integrate and form an energy monitoring data stream and is connected with the acquisition module; An evaluation module for dynamically evaluating the operation efficiency of the construction machine based on the power load data of the construction machine, connected to the control module; the analysis module is used for constructing a prediction model by utilizing a deep learning algorithm based on the energy monitoring data flow and the operation efficiency of the corresponding construction machine so as to predict the energy consumption trend of the construction machine, and is connected with the control module and the evaluation module; And the decision module is used for adjusting the energy supply scheme of the construction machine based on the real-time energy monitoring data and the energy consumption trend and is connected with the control module and the analysis module.
2. 2. The energy monitoring system for construction machinery equipment based on multi-source data integration according to claim 1, further comprising an early warning module for generating an alarm signal when the operation efficiency is lower than a threshold value, wherein the early warning module is connected with the evaluation module and the control module, and the control module is connected with the mobile terminal.
3. 3. The energy monitoring system for construction machinery equipment based on multi-source data integration according to claim 1, wherein the acquisition module is connected to the control module through the wireless communication module.
4. 4. The energy monitoring system for construction machinery based on multi-source data integration according to claim 1, wherein the working state data includes power load data, machine start information, operation state, and working time period when the construction machinery is operated.
5. 5. A construction machine equipment energy monitoring method using the multi-source data integration-based construction machine equipment energy monitoring system according to any one of claims 1 to 4, characterized by comprising the steps of: the first acquisition unit of the acquisition module acquires electric energy generated by the photovoltaic system, the second acquisition unit of the acquisition module, the storage capacity of the electric energy of the energy storage system and the third acquisition unit of the acquisition module are used for acquiring working state data of the construction machine; the control module acquires electric energy, storage capacity and working state data to integrate and form an energy monitoring data stream; the evaluation module dynamically evaluates the operation efficiency of the construction machine based on the power load data of the construction machine; The analysis module is used for constructing a prediction model by utilizing a deep learning algorithm based on the energy monitoring data flow and the operation efficiency of the corresponding construction machine so as to predict the energy consumption trend of the construction machine; based on the real-time energy monitoring data and the energy consumption trend, the decision-making module adjusts the energy supply scheme of the construction machine.

Description

Construction machinery equipment energy monitoring system and method based on multi-source data integration Technical Field The invention relates to the technical field of building construction, in particular to an energy monitoring system and method for construction machinery equipment based on multi-source data integration. Background Along with the continuous development of the building industry and infrastructure construction, the scale of a construction site is continuously enlarged, construction tasks are increasingly complex, and the degree of dependence on mechanical equipment is also continuously increased. The mechanical equipment used in the modern construction site is various and comprises various heavy equipment such as a pile machine, a concrete pump truck, a tower crane, a welding machine, a water pump and the like, and the equipment bears a great deal of heavy work in the construction process, so that higher requirements on energy efficiency and operation management are provided. However, as the number and complexity of these mechanical devices increases, their energy consumption and management problems become increasingly critical factors affecting the efficiency of the construction project. 1. Complexity of the power consumption of the device. At conventional construction sites, the energy requirements of the devices typically rely on a single power supply, and many construction sites today introduce multiple power supplies, including but not limited to conventional diesel generators, photovoltaic power generation systems, energy storage systems (including stationary and mobile energy storage), and power drawn from the grid. The characteristics and the use scene of each energy source are different, for example, a photovoltaic system depends on sunlight intensity, the capacity and discharge performance of an energy storage system are influenced by factors such as ambient temperature, charging state and the like, and the working efficiency of a diesel generator is influenced by fuel quality and load change. These factors make energy supply management of construction field devices a significant challenge. The mechanical equipment in the construction site is usually in a high-load running state, and the energy consumption of the equipment is influenced by a plurality of factors such as working environment, construction progress, equipment load and the like, so that under the background of diversified energy supply, how to accurately evaluate the contribution of each energy source in the running of the equipment and dynamically adjust the energy supply mode becomes a core problem for realizing energy conservation and efficient management. 2. Limitations of single power load monitoring. While some of the devices in modern construction sites are equipped with basic power monitoring systems that monitor parameters such as the power load, operating conditions of the devices, these systems typically rely on a single source of data such as power load monitoring, the length of time the devices are operating, or the operating conditions of the machines. A single data source greatly limits the overall assessment of the overall energy efficiency of the device. For example, it is difficult to reflect the energy efficiency performance of the device under different load conditions simply by the power load data, and it is also impossible to know whether the energy supply system is in an optimal operating state. Therefore, single data monitoring cannot comprehensively embody the operation efficiency and the energy utilization rate of equipment, and further influences the overall evaluation of the construction site energy efficiency. Current monitoring systems also lack the ability to comprehensively analyze multiple energy supply modes. For example, the power generation of a photovoltaic system is nonlinear and greatly influenced by weather and environmental factors, the electric quantity storage and release of an energy storage system are limited by a charging and discharging strategy, the efficiency of the energy storage system is reduced with the use times, and the energy efficiency of a diesel generator under different loads is different. How to accurately evaluate the influence of different energy sources on the operation of equipment in the construction process and optimize the use of the energy sources on the basis of the influence becomes a problem to be solved urgently. 3. Hysteresis of the existing system for energy supply mode adjustment. In existing construction site management systems, although power load data of equipment can be collected in real time through a power monitoring system, most of the systems still rely on manual operation to adjust the energy supply mode. For example, when the photovoltaic system is not generating enough power, a monitoring person may need to manually start the diesel generator or adjust the power dispatch plan based on field conditions. However, the manual operati