Digital factory energy management method and system based on BIM data management

Abstract

The invention relates to the technical field of data processing, in particular to a digital factory energy management method and system based on BIM data management, and the method comprises the steps: obtaining factory energy data; establishing a BIM factory model based on the factory energy data and a BIM technology; sending a control signal to a display module to enable the display module to display the BIM factory model; based on the BIM factory model, judging whether the energy use data accord with preset data or not; if the energy use data does not accord with the preset data, sending an energy abnormity alarm signal; and marking the BIM factory model based on the energy abnormity alarm signal. The method and the device have the effects of monitoring in real time and realizing automatic analysis of the data.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular to a digital factory energy management method and system based on BIM data management. Background Art

[0002] With the increasing shortage of energy resources and the continuous improvement of environmental protection awareness, how to manage energy is an issue that cannot be ignored for the complex and diverse production equipment and complex production environment in factories.

[0003] In the related art, manual inspection is generally adopted to realize energy data statistics of each production equipment. However, this method cannot realize real-time update of data, there is a certain data lag, and real-time monitoring cannot be realized. Summary of the invention

[0004] In order to enable real-time monitoring and automated analysis of data, the present application provides a digital factory energy management method and system based on BIM data management.

[0005] In the first aspect, the digital factory energy management method based on BIM data management provided by the present application adopts the following technical solution: A digital factory energy management method based on BIM data management, comprising: Obtain plant energy data; Establishing a BIM factory model based on the factory energy data and BIM technology; Sending a control signal to a display module so that the display module displays the BIM factory model; Determining whether the energy usage data meets the preset data based on the BIM factory model; If the energy usage data does not conform to the preset data, an energy abnormality alarm signal is sent; The energy anomaly alarm signal is marked on the BIM factory model.

[0006] By adopting the above technical solution, by obtaining factory energy data and establishing a BIM factory model based on BIM technology, this method can realize real-time monitoring of factory energy use. At the same time, by sending a control signal to the display module, the BIM factory model can be intuitively displayed, so that users can clearly and intuitively understand the energy use of the factory. When the energy abnormality alarm signal is sent, it can be quickly marked on the BIM factory model to accurately locate the location where the abnormality occurs. This helps users respond to and handle abnormal situations quickly, reduce energy waste and potential production risks. Users can more conveniently grasp the energy use of the factory, promptly discover and deal with problems in energy use, thereby achieving energy conservation and optimal configuration.

[0007] Optionally, judging whether energy usage complies with preset data based on the BIM factory model includes: Get the current production type and current production progress; obtaining historical energy consumption data based on the current production type; Calculate theoretical energy consumption data based on the historical energy consumption data and the current production schedule; Determining whether the energy usage data is greater than the theoretical energy consumption data; If the energy usage data is greater than the theoretical energy consumption data, it is determined that the energy usage data does not conform to the preset data.

[0008] By adopting the above technical solution, by obtaining the current production type and production progress, electronic equipment can dynamically match historical energy consumption data, thereby calculating theoretical energy consumption data that matches the current production status. Combining accurate prediction with real-time monitoring, energy management becomes more refined and intelligent. By comparing real-time energy usage data with theoretical energy consumption data, electronic equipment can promptly detect abnormalities in energy usage.

[0009] Optionally, before sending the energy abnormality alarm signal, the method further includes: Obtain production plans; Determining whether there is intermediate consumption based on the production plan; If there is intermediate consumption, obtaining invalid energy consumption data corresponding to the intermediate consumption; Determining whether the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data; If the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data, the step of sending the energy abnormality alarm signal is not performed; If the sum of the theoretical energy consumption data and the invalid energy consumption data is not equal to the energy usage data, the step of sending an energy abnormality alarm signal continues to be executed.

[0010] By adopting the above technical solution, before sending the energy abnormality alarm signal, the electronic device first determines whether there is intermediate consumption and obtains the corresponding invalid energy consumption data. This step enables the system to more accurately determine whether the energy usage data is abnormal, avoiding misjudgment caused by intermediate consumption. By comparing theoretical energy consumption data, invalid energy consumption data and actual energy usage data, the electronic device can quickly discover inconsistencies between the data and respond in a timely manner. It helps users locate and solve problems more quickly and improve energy management efficiency. By recording and analyzing production plans, intermediate consumption and energy consumption data, it provides more comprehensive transparency and traceability for energy use.

[0011] Optionally, when the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data, the method further includes: Acquire a production changeover process based on the production plan; Acquire big data based on the production type and the production conversion process; Analyze and optimize steps based on the big data; The conversion process is modified based on the optimization steps.

[0012] By adopting the above technical solutions, the conversion process is obtained based on the production plan, and big data is obtained by combining the production type and the conversion process, making the conversion process more data-driven and intelligent. It helps to reduce human intervention and improve the accuracy and efficiency of conversion. Use big data technology to deeply analyze each link in the conversion process, find potential problems and bottlenecks, and then formulate targeted optimization steps. Through precise optimization, the execution efficiency of the conversion process can be significantly improved and unnecessary waste of resources can be reduced. Based on the optimization steps of big data analysis, the conversion process can be adjusted in real time to adapt to the changing production needs and market environment. This flexibility enables the factory to respond quickly to external changes.

[0013] Optionally, when there is no intermediate consumption, it also includes: Acquire the marked location based on the BIM factory model; Acquire a corresponding first production device based on the location; Determining whether there is an alternative device to the first production device; If there is an alternative device, the production efficiency is calculated based on the alternative device; Determining whether the production efficiency can meet a first preset requirement; If the production efficiency meets the first preset requirement, a replacement signal is sent based on the replacement device.

[0014] By adopting the above technical solutions, the marked locations and their corresponding production equipment can be accurately obtained through the BIM factory model, and the existence of alternative equipment can be determined, providing a more flexible equipment configuration solution, which helps to improve the efficiency and flexibility of the overall production process. After confirming the alternative equipment, the system calculates the production efficiency of the alternative equipment and compares it with the first preset requirements to ensure that the alternative solution is not only feasible, but also that the production efficiency can meet production needs. This quick judgment and response mechanism enables the factory to make quick adjustments when facing equipment failures or production bottlenecks, reduce production interruption time, and maintain stable operation of the production line.

[0015] Optionally, before determining whether there is a substitute device for the first production device, the method further includes: Acquire the output of the corresponding first product based on the first production equipment; Determining whether the output meets a second preset requirement; If the output meets the second preset requirement, the step of determining whether there is an alternative device for the first production device is not performed; Switch to obtaining a detection module corresponding to the first production equipment; The warning signal is modified based on the detection module.

[0016] By adopting the above technical solution, it is determined whether the output of the first production equipment reaches the expectation, that is, whether the output meets the second preset requirement, so as to confirm whether the first production equipment is faulty. If the output meets the requirement, it is preferentially determined that the first production equipment is not faulty, and the detection module corresponding to the first production equipment is obtained, and the alarm signal is corrected based on this detection module.

[0017] Optionally, the method further includes: Acquire a corresponding first maintenance personnel based on the first production equipment; Acquire other maintenance personnel except the first maintenance personnel; Randomly select at least one other maintenance personnel to send a maintenance signal; After sending the maintenance signal, it also includes: Determining in real time whether maintenance feedback data is received based on the maintenance signal; If the maintenance feedback data is received, determining whether it is an accidental fault based on the maintenance feedback data; If it is not an accidental failure, obtaining corresponding penalty measures based on the maintenance feedback data; The first maintenance personnel is marked based on a punitive measure.

[0018] By adopting the above technical solution, other maintenance personnel are randomly selected to send maintenance signals. This solution realizes the rapid allocation and response of maintenance tasks, which can reduce the response time of maintenance requests and improve the maintenance efficiency of equipment. If the failure is not accidental, the electronic device will obtain the corresponding penalty measures based on the maintenance feedback data and mark the first maintenance personnel. It can ensure the quality of maintenance and motivate maintenance personnel to improve work efficiency and quality through penalty measures, thereby reducing the impact of equipment failure on production. It realizes the intelligent management of production equipment maintenance, from the sending of maintenance signals to the processing of maintenance feedback, and then to the automatic execution of penalty measures, achieving a high degree of automation and intelligence. It not only reduces the cost of manual intervention, but also improves the accuracy and efficiency of equipment maintenance.

[0019] In the second aspect, the digital factory energy management system based on BIM data management provided by the present application adopts the following technical solutions: A first acquisition module is used to acquire factory energy data; Establishing a module for establishing a BIM factory model based on the factory energy data and BIM technology; A control module, used for sending a control signal to a display module so that the display module displays the BIM factory model; A judgment module, used to judge whether the energy usage data meets the preset requirements based on the BIM factory model; if the energy usage data does not meet the preset requirements, it is transferred to the alarm module; The alarm module is used to send an energy abnormality alarm signal; A marking module is used to mark the BIM factory model based on the energy abnormality alarm signal.

[0020] In a third aspect, the present application provides an electronic device that adopts the following technical solution: An electronic device comprises a processor, wherein the processor is coupled to a memory; the processor is used to execute a computer program stored in the memory, so that the electronic device executes the method described in the first aspect.

[0021] In a fourth aspect, the present application provides a computer-readable storage medium that adopts the following technical solution: A computer-readable storage medium includes a computer program or an instruction. When the computer program or the instruction is executed on a computer, the computer is caused to execute the method according to the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flow chart of a digital factory energy management method based on BIM data management in an embodiment of the present application.

[0023] Figure 2It is a block diagram of a digital factory energy management system based on BIM data management in an embodiment of the present application.

[0024] Figure 3 It is a block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following is combined with Figure 1-3 This application is described in further detail.

[0026] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. Technical users in this field can make non-creative modifications to the present embodiment as needed after reading this specification. However, as long as it is within the scope of the claims of the present application, it is protected by the patent law.

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technical users in the field without creative work are within the scope of protection of this application.

[0028] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0029] The embodiment of the present application discloses a digital factory energy management method based on BIM data management. The digital factory energy management method based on BIM data management can be executed by an electronic device. The electronic device can be a server or a terminal device, wherein the server can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a desktop computer, etc., but is not limited thereto.

[0030] The present application embodiment discloses a digital factory energy management method based on BIM data management. Figure 1 ,A digital factory energy management method based on BIM data management includes the main processes described as follows (S100~S600): Step S100, obtaining factory energy data; Step S200, establishing a BIM factory model based on factory energy data and BIM technology; Step S300, sending a control signal to the display module so that the display module displays the BIM factory model; Step S400, judging whether the energy usage data conforms to the preset data based on the BIM factory model; if the energy usage data does not conform to the preset data, proceeding to step S500; if the energy usage data conforms to the preset data, continuing to execute step S400; Step S500, sending an energy abnormality alarm signal; Step S600: Marking the BIM factory model based on the energy anomaly alarm signal.

[0031] The electronic device obtains the energy data of the factory, and the electronic device establishes a BIM factory model based on the factory energy data and BIM technology. Then the electronic device sends a control signal to the display module, thereby controlling the display module to display the BIM factory model, so that the user can use the BIM factory model to view the relevant data of the factory. After that, the electronic device determines whether the energy usage data meets the preset data based on the BIM factory model. If the energy usage data does not meet the preset data, it means that the energy usage of the factory is abnormal at this time, so the electronic device sends an energy abnormality alarm signal at this time, and the electronic device is marked on the BIM factory model based on the energy abnormality alarm signal. That is, when the user is prompted that the energy usage is abnormal, it can also be marked on the BIM factory model to provide the user with a specific location, so that the user can check the abnormal location, etc. At the same time, the BIM factory model can also enable the user to more intuitively understand the relevant data of the factory.

[0032] Specifically, judging whether energy usage complies with preset data based on the BIM factory model includes: obtaining the current production type and the current production progress; obtaining historical energy consumption data based on the current production type; calculating theoretical energy consumption data based on historical energy consumption data and the current production progress; judging whether the energy usage data is greater than the theoretical energy consumption data; if the energy usage data is greater than the theoretical energy consumption data, it is judged that the energy usage data does not comply with the preset data.

[0033] As for how to determine whether it complies with the preset data, the electronic device obtains the current production type and the current production progress, and then the electronic device obtains the historical energy consumption data based on the current production type, and calculates the theoretical energy consumption data based on the historical energy consumption data and the current production progress. The electronic device determines whether the energy usage data is greater than the theoretical energy consumption data. If the energy usage data is greater than the theoretical energy consumption data, it indicates that an abnormality has occurred at this time, that is, it is determined that the energy usage data does not comply with the preset data.

[0034] As an optional implementation manner of an embodiment of the present application, before sending an energy abnormality alarm signal, it also includes: obtaining a production plan; determining whether there is intermediate consumption based on the production plan; if there is intermediate consumption, obtaining invalid energy consumption data corresponding to the intermediate consumption; determining whether the sum of theoretical energy consumption data and invalid energy consumption data is equal to energy usage data; if the sum of theoretical energy consumption data and invalid energy consumption data is equal to energy usage data, not executing the step of sending an energy abnormality alarm signal; if the sum of theoretical energy consumption data and invalid energy consumption data is not equal to energy usage data, continuing to execute the step of sending an energy abnormality alarm signal.

[0035] Before the electronic device sends an energy anomaly alarm signal, the electronic device obtains the production plan, and then determines whether there is intermediate consumption based on the production plan. The intermediate consumption can be the necessary energy consumed by debugging the equipment during the production conversion process. Therefore, when there is intermediate consumption, the electronic device obtains the infinite energy consumption data corresponding to the intermediate consumption, and then the electronic device calculates the sum of the theoretical energy consumption data and the wireless energy consumption data and determines whether the sum of the two is equal to the energy usage data. If it is equal, it is considered that there is no abnormality at this time, so the electronic device does not perform the step of sending the energy anomaly alarm signal. If the sum of the theoretical energy consumption data and the invalid energy consumption data is not equal to the energy usage data, the step of sending the energy anomaly alarm signal continues.

[0036] As an optional implementation manner of an embodiment of the present application, when the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data, it also includes: obtaining the production conversion process based on the production plan; obtaining big data based on the production type and the production conversion process; optimizing steps based on big data analysis; and correcting the production conversion process based on the optimization steps.

[0037] When the sum of theoretical energy consumption data and invalid energy consumption data is equal to energy usage data, the electronic equipment obtains the production conversion process based on the production plan, and then the electronic equipment obtains big data based on the production type and the production conversion process, thereby realizing the optimization steps based on big data analysis, and then realizing the optimization of the production conversion process, so as to achieve the purpose of reducing energy consumption in the process of production conversion and reduce costs.

[0038] As an optional implementation of an embodiment of the present application, when there is no intermediate consumption, it also includes: obtaining the marked location based on the BIM factory model; obtaining the corresponding first production equipment based on the location; determining whether there is an alternative equipment for the first production equipment; if there is an alternative equipment, calculating the production efficiency based on the alternative equipment; determining whether the production efficiency can meet the first preset requirement; if the production efficiency meets the first preset requirement, sending a replacement signal based on the alternative equipment.

[0039] When there is no intermediate consumption, it is determined that the production equipment has failed, resulting in excessive energy consumption. Therefore, the electronic device obtains the marked location based on the BIM factory model, and then obtains the corresponding first production equipment based on the location, and the electronic device determines whether there is a replacement device for the first production equipment. The replacement device includes a device that can be temporarily and quickly replaced, which can be a corresponding device on an adjacent or nearby production line that has not been put into production. If there is a replacement device, the electronic device calculates the production efficiency based on the replacement device. Since the equipment on different production lines is required, the efficiency will be reduced, so it is necessary to calculate the production efficiency after replacement, and the electronic device determines whether the production efficiency meets the first preset requirement, that is, whether it can meet the production schedule requirements. If the production efficiency meets the first preset requirement, the electronic device sends a replacement signal based on the replacement device.

[0040] As an optional implementation manner of an embodiment of the present application, before determining whether there is an alternative device for the first production equipment, it also includes: obtaining the output of the corresponding first product based on the first production equipment; determining whether the output meets the second preset requirement; if the output meets the second preset requirement, not executing the step of determining whether there is an alternative device for the first production equipment; and instead obtaining the detection module corresponding to the first production equipment; and correcting the alarm signal based on the detection module.

[0041] Before the electronic device determines whether there is an alternative device for the first production device, the electronic device obtains the output of the corresponding first product based on the first production device, and then the electronic device determines whether the output meets the second preset requirement, that is, determines whether the production of the first production device is normal. If the output meets the second preset requirement, it is possible that the first production device is not faulty, but the detection module used to detect data is faulty. Therefore, the electronic device does not execute the step of determining whether there is an alternative device for the first production device, but instead obtains the detection module corresponding to the first production device, and corrects the alarm signal based on the detection module to prompt the user that the detection module may be faulty.

[0042] As an optional implementation manner of the embodiment of the present application, the method also includes: obtaining a corresponding first maintenance personnel based on the first production equipment; obtaining other maintenance personnel except the first maintenance personnel and randomly selecting at least one other maintenance personnel to send a maintenance signal; after sending the maintenance signal, it also includes: judging in real time whether maintenance feedback data is received based on the maintenance signal; judging whether it is an accidental failure based on the maintenance feedback data; if it is not an accidental failure, obtaining corresponding punishment measures based on the maintenance feedback data; marking the first maintenance personnel based on the punishment measures.

[0043] When it is determined that the equipment is faulty, that is, when there is no intermediate consumption, the electronic device obtains the corresponding first maintenance personnel based on the first production equipment. The first maintenance personnel is the personnel who performs daily maintenance on the first production equipment. Then the electronic device obtains other maintenance personnel except the first maintenance personnel, and selects at least one other maintenance personnel to send a maintenance signal. Since it is determined that the first production equipment is faulty, the first production equipment needs to be repaired. In addition, after sending the maintenance signal, the electronic device determines in real time whether the maintenance feedback data is received based on the maintenance signal, and the electronic device determines whether the first production equipment is an occasional failure based on the maintenance feedback data. If it is not an occasional failure, the electronic device obtains the corresponding penalty measures based on the maintenance feedback data, and marks the first maintenance personnel based on the penalty measures. Because it is not an occasional failure, it is determined that the first maintenance personnel failed to perform due diligence on the first production equipment, resulting in the failure of the first production equipment, so it is necessary to impose corresponding penalties on it.

[0044] Figure 2 A structural block diagram of a digital factory energy management system 700 based on BIM data management provided in an embodiment of the present application is shown in FIG. Figure 2 As shown, the digital factory energy management system 700 based on BIM data management includes: The first acquisition module 701 is used to acquire factory energy data; Establishing module 702, for establishing a BIM factory model based on factory energy data and BIM technology; The control module 703 is used to send a control signal to the display module so that the display module displays the BIM factory model; The judgment module 704 is used to judge whether the energy usage data meets the preset requirements based on the BIM factory model; if the energy usage data does not meet the preset requirements, it will be transferred to the alarm module 705; Alarm module 705, used to send energy abnormality alarm signal; The marking module 706 is used to mark the BIM factory model based on the energy abnormality alarm signal.

[0045] Specifically, the determination module 704 includes: The first acquisition submodule is used to obtain the current production type and current production progress; The second acquisition submodule is used to acquire historical energy consumption data based on the current production type; A first calculation submodule is used to calculate theoretical energy consumption data based on historical energy consumption data and current production progress; The first judgment submodule is used to judge whether the energy usage data is greater than the theoretical energy consumption data; if the energy usage data is greater than the theoretical energy consumption data, it is determined that the energy usage data does not meet the preset data.

[0046] In this optional embodiment, the digital factory energy management system 700 based on BIM data management further includes: The third acquisition submodule is used to obtain the production plan before sending the energy abnormality alarm signal; The second judgment submodule is used to judge whether there is intermediate consumption based on the production plan; if there is intermediate consumption, then obtain the invalid energy consumption data corresponding to the intermediate consumption; The third judgment submodule is used to judge whether the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data; if the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data, the step of sending the energy abnormality alarm signal is not executed; if the sum of the theoretical energy consumption data and the invalid energy consumption data is not equal to the energy usage data, the step of sending the energy abnormality alarm signal continues to be executed.

[0047] In this optional embodiment, the digital factory energy management system 700 based on BIM data management further includes: A fourth acquisition submodule is used to acquire a production change process based on a production plan when the sum of theoretical energy consumption data and invalid energy consumption data is equal to energy usage data; The fifth acquisition submodule is used to acquire big data based on production type and conversion process; A first analysis submodule, for analyzing and optimizing steps based on big data; The first correction submodule is used to correct the production conversion process based on the optimization steps.

[0048] In this optional embodiment, the digital factory energy management system 700 based on BIM data management further includes: A sixth acquisition submodule, for acquiring the marked location based on the BIM factory model when there is no intermediate consumption; A seventh acquisition submodule, used to acquire the corresponding first production equipment based on the position; The fourth judgment submodule is used to judge whether there is a substitute device for the first production equipment; if there is a substitute device, the production efficiency is calculated based on the substitute device; a fifth judgment submodule, configured to judge whether the production efficiency can meet the first preset requirement; if the production efficiency meets the first preset requirement, sending a replacement signal based on the replacement device; In this optional embodiment, the digital factory energy management system 700 based on BIM data management further includes: An eighth acquisition submodule is used to acquire the output of the corresponding first product based on the first production equipment before determining whether there is a replacement device for the first production equipment; The sixth judgment submodule is used to judge whether the output meets the second preset requirement; if the output meets the second preset requirement, the step of judging whether there is a substitute device for the first production device is not performed; A ninth acquisition submodule, used to acquire a detection module corresponding to the first production equipment; The second correction submodule is used to correct the alarm signal based on the detection module.

[0049] In this optional embodiment, the digital factory energy management system 700 based on BIM data management further includes: A tenth acquisition submodule, configured to acquire a corresponding first maintenance personnel based on the first production equipment; An eleventh obtaining submodule is used to obtain other maintenance personnel except the first maintenance personnel; The first selection submodule is used to randomly select at least one other maintenance personnel to send a maintenance signal; The seventh judgment submodule is used to judge in real time whether maintenance feedback data is received based on the maintenance signal after the maintenance signal is sent; if the maintenance feedback data is received, judge whether it is an accidental fault based on the maintenance feedback data; if it is not an accidental fault, obtain corresponding penalty measures based on the maintenance feedback data; The first marking submodule marks the first maintenance personnel based on the penalty measure.

[0050] Figure 3 The electronic device 800 is a block diagram of a structure of an electronic device 800 provided in an embodiment of the present application. The electronic device 800 may be a mobile phone, a tablet computer, a PC, a server, etc. Figure 3 As shown, the electronic device 800 includes a memory 801, a processor 802 and a communication bus 803; the memory and the processor 802 are connected via the communication bus 803. The memory 801 stores a computer program that can be loaded by the processor 802 and executes the digital factory energy management method based on BIM data management as provided in the above embodiment.

[0051] The memory 801 may be used to store instructions, programs, codes, code sets or instruction sets. The memory 801 may include a program storage area and a managed data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function, and instructions for implementing the digital factory energy management method based on BIM data management provided in the above embodiment, etc.; the managed data storage area may store managed data involved in the digital factory energy management method based on BIM data management provided in the above embodiment, etc.

[0052] The processor 802 may include one or more processing cores. The processor 802 calls the managed data stored in the memory 801 by running or executing the instructions, programs, code sets or instruction sets stored in the memory 801, executes various functions of the present application and processes the managed data. The processor 802 may be at least one of an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a central processing unit (CPU), a controller, a microcontroller and a microprocessor. It is understandable that for different devices, the electronic device used to implement the above-mentioned processor 802 function can also be other, and the embodiment of the present application is not specifically limited.

[0053] The communication bus 803 may include a path to transmit information between the above components. The communication bus 803 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The communication bus 803 may be divided into an address bus, a managed data bus, a control bus, etc. For ease of representation, Figure 3 Only one double arrow is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0054] An embodiment of the present application provides a computer storage medium storing a computer program that can be loaded by a processor and execute a digital factory energy management method based on BIM data management as provided in the above embodiment.

[0055] In this embodiment, the computer storage medium may be a tangible device that holds and stores instructions used by the instruction execution device. The computer storage medium may be, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination thereof. Specifically, the computer storage medium may be a portable computer disk, a hard disk, a USB flash drive, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a podium random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, an optical disk, a magnetic disk, a mechanical encoding device, and any combination thereof.

[0056] The terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or also includes elements inherent to such process, method, article, or apparatus.

Claims

1. A digital factory energy management method based on BIM data management, characterized in that: include: Obtain plant energy data; Establishing a BIM factory model based on the factory energy data and BIM technology; Sending a control signal to a display module so that the display module displays the BIM factory model; Determining whether the energy usage data meets the preset data based on the BIM factory model; If the energy usage data does not conform to the preset data, an energy abnormality alarm signal is sent; The energy anomaly alarm signal is marked on the BIM factory model.

2. The digital factory energy management method based on BIM data management according to claim 1 is characterized in that: The determining whether energy usage complies with preset data based on the BIM factory model includes: Get the current production type and current production progress; obtaining historical energy consumption data based on the current production type; Calculate theoretical energy consumption data based on the historical energy consumption data and the current production schedule; Determining whether the energy usage data is greater than the theoretical energy consumption data; If the energy usage data is greater than the theoretical energy consumption data, it is determined that the energy usage data does not conform to the preset data.

3. The digital factory energy management method based on BIM data management according to claim 2 is characterized in that: Before sending the energy abnormality alarm signal, the method further includes: Obtain production plans; Determining whether there is intermediate consumption based on the production plan; If there is intermediate consumption, obtaining invalid energy consumption data corresponding to the intermediate consumption; Determining whether the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data; If the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data, the step of sending the energy abnormality alarm signal is not performed; If the sum of the theoretical energy consumption data and the invalid energy consumption data is not equal to the energy usage data, the step of sending an energy abnormality alarm signal continues to be executed.

4. The digital factory energy management method based on BIM data management according to claim 3 is characterized in that: When the sum of the theoretical energy consumption data and the invalid energy consumption data is equal to the energy usage data, the method further includes: Acquire a production changeover process based on the production plan; Acquire big data based on the production type and the production conversion process; Analyze and optimize steps based on the big data; The conversion process is modified based on the optimization steps.

5. The digital factory energy management method based on BIM data management according to claim 3 is characterized in that: When there is no intermediate consumption, it also includes: Acquire the marked location based on the BIM factory model; Acquire a corresponding first production device based on the location; Determining whether there is an alternative device to the first production device; If there is an alternative device, the production efficiency is calculated based on the alternative device; Determining whether the production efficiency can meet a first preset requirement; If the production efficiency meets the first preset requirement, a replacement signal is sent based on the replacement device.

6. The digital factory energy management method based on BIM data management according to claim 5 is characterized in that: Before determining whether there is a substitute device for the first production device, the method further includes: Acquire the output of the corresponding first product based on the first production equipment; Determining whether the output meets a second preset requirement; If the output meets the second preset requirement, the step of determining whether there is an alternative device for the first production device is not performed; Switch to obtaining a detection module corresponding to the first production equipment; The warning signal is modified based on the detection module.

7. The digital factory energy management method based on BIM data management according to claim 5 is characterized in that: The method further comprises: Acquire a corresponding first maintenance personnel based on the first production equipment; Acquire other maintenance personnel except the first maintenance personnel; Randomly select at least one other maintenance personnel to send a maintenance signal; After sending the maintenance signal, it also includes: Determining in real time whether maintenance feedback data is received based on the maintenance signal; If the maintenance feedback data is received, determining whether it is an accidental fault based on the maintenance feedback data; If it is not an accidental failure, obtaining corresponding penalty measures based on the maintenance feedback data; The first maintenance personnel is marked based on a punitive measure.

8. A digital factory energy management system based on BIM data management, characterized in that: include: A first acquisition module is used to acquire factory energy data; Establishing a module for establishing a BIM factory model based on the factory energy data and BIM technology; A control module, used for sending a control signal to a display module so that the display module displays the BIM factory model; A judgment module, used to judge whether the energy usage data meets the preset requirements based on the BIM factory model; If the energy usage data does not meet the preset requirements, it is transferred to the alarm module; The alarm module is used to send an energy abnormality alarm signal; A marking module is used to mark the BIM factory model based on the energy abnormality alarm signal.

9. An electronic device, characterized in that: The electronic device comprises a processor coupled to a memory; the processor is used to execute a computer program stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The method comprises a computer program or an instruction, which, when executed on a computer, causes the computer to execute the method according to any one of claims 1 to 7.

Images