Mechanical and electrical installation module control method and system based on f5g communication
By optimizing the installation control strategy of the electromechanical installation module through F5G communication and neural network model, the problem of incomplete information acquisition was solved, and efficient and safe modular installation was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-05-30
- Publication Date
- 2026-03-03
Smart Images

Figure CN116594306B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of electromechanical installation technology, and in particular to a control method and system for electromechanical installation modules based on F5G communication. Background Technology
[0002] Electromechanical installation includes the installation of automated machinery and equipment such as boilers, ventilation, air conditioning and refrigeration systems, electrical systems, instrumentation, motors, compressor units, and broadcasting, film, and television control systems. Modular electromechanical installation technology is a new type of electromechanical installation technology that modularizes the design of various parts of electromechanical equipment, making the installation of such equipment simpler, faster, and more efficient.
[0003] F5G (The 5th Generation Fixed Network) boasts higher bandwidth and is better suited for indoor and complex environments. Gigabit optical networks utilize fixed fiber optic connections, offering advantages such as large transmission bandwidth and strong anti-interference capabilities. Applying F5G to electromechanical installation systems effectively meets the needs of extensive connectivity and long-distance coverage for a large number of electromechanical devices, greatly simplifying equipment maintenance and improving installation efficiency.
[0004] Chinese patent application number CN201610321386.5, published on September 21, 2016, discloses a modular design and assembly installation technology for electromechanical systems, comprising the following steps: using BIM software for detailed electromechanical design, establishing a construction model, dividing the construction model into modular components, determining suitable areas for modular construction, and designing modular supports and hangers; using a modular design toolset for electromechanical systems, selecting specific areas for modular construction, setting parameters, automatically generating modular components, and automatically adding packaging code information; verifying the generated modular components, and drawing processing drawings after verification; dispatching processing orders to the factory, and simultaneously uploading them to a cloud management platform for BIM management application; the processing plant decomposes the modules into parts, processes and manufactures the parts, assembles the manufactured parts into installation modules, labels the installation modules, and performs factory scanning; transporting the modules to the construction site for installation. This invention, through modular design and assembly combined with toolset functionality, can improve the overall application level of industrialized electromechanical installation.
[0005] However, the above solution has the following technical problems during implementation: the existing electromechanical modular installation technology does not obtain comprehensive information on each electromechanical module, which affects the calculation of the subsequent module installation sequence. As a result, the final module installation strategy is not optimal, which reduces construction efficiency and project quality. Summary of the Invention
[0006] This invention provides a control method and system for electromechanical installation modules based on F5G communication. It solves the problem that existing electromechanical modular installation technologies do not acquire comprehensive information about each electromechanical module, which affects the calculation of the subsequent module installation sequence and results in an unoptimal module installation strategy, thus reducing construction efficiency and project quality. The invention realizes intelligent control of the installation of each module in the electromechanical installation system and improves electromechanical installation efficiency through F5G communication.
[0007] According to a first aspect of the present invention, a control method for an electromechanical installation module based on F5G communication is provided.
[0008] In one embodiment, the electromechanical installation module control method based on F5G communication includes:
[0009] The pre-defined electromechanical installation modules are analyzed to obtain module data information, module structural relationships, and module interaction relationships. Based on the module data information, module structural relationships, and module interaction relationships, a parameterized model of the electromechanical installation modules is constructed. The module data information includes basic module data information, module attribute data information, and module functional data information.
[0010] The installation site information of the electromechanical installation module is analyzed to obtain the environmental impact factor; and based on the parameterized model and the environmental impact factor, the installation control strategy of the electromechanical installation module is constructed through individual combat simulation method and neural network model.
[0011] According to the installation control strategy described above, installation control between electromechanical installation modules is realized based on the F5G communication network.
[0012] In one embodiment, the calculation formula for constructing the parameterized model of the electromechanical installation module based on the module data information, module structural relationships, and module interaction relationships is as follows:
[0013]
[0014] In the formula, Representing a parametric model, This represents the module's basic data information. This represents module attribute data information. This indicates module function data information. Indicates the structural relationships between modules. This indicates the interaction relationship between modules.
[0015] In one embodiment, the installation site information of the electromechanical installation module is analyzed, and the formula for calculating the environmental impact factor is obtained as follows:
[0016] E= as*V*m μ[δ* m-1 +1] V ̃
[0017]
[0018] In the formula, This represents the energy consumption density function of the electromechanical installation module under the current installation environment. This represents the energy change of the electromechanical installation module during one operation in the current installation site environment. This indicates the volume of the electromechanical mounting module. This indicates the number of tests conducted on the electromechanical installation module under the current installation site environment. Represents density factor, This represents the coefficient of friction of the electromechanical mounting module during the experiment. This indicates the volume of the electromechanical mounting module that experienced wear during the experiment. This indicates environmental impact factors.
[0019] In one embodiment, based on the parameterized model and the environmental influencing factors, an installation control strategy for electromechanical equipment modules is constructed using individual soldier combat simulation and neural network models, including:
[0020] The electromechanical installation module is simulated for individual combat using the individual combat simulation method. The simulated individual soldier is assigned values through a parameterized model, and the individual soldier compatibility between the assigned individual soldiers is calculated.
[0021] Based on simulated individual soldiers, a neural network model is constructed using a long short-term memory neural network. The initial combat position and individual soldier function are used as inputs to the neural network model to obtain the optimized individual soldier combat position.
[0022] Based on the individual soldier's adaptability, the individual soldier's combat position, and environmental influencing factors, an installation control strategy for each electromechanical installation module is constructed.
[0023] In one embodiment, the calculation formula for the installation control strategy of each electromechanical installation module, based on the individual soldier's adaptability, the individual soldier's combat position, and environmental influencing factors, is as follows:
[0024]
[0025] In the formula, This indicates the installation sequence of electromechanical installation module A and electromechanical installation module B, i.e., the installation control strategy; if Therefore, the installation sequence of electromechanical installation module A is before that of electromechanical installation module B. Indicates the comparison threshold; This indicates the optimized individual soldier's combat position; Indicates environmental impact factors, This indicates the compatibility between electromechanical installation module A and electromechanical installation module B.
[0026] According to a second aspect of the present invention, an electromechanical installation module control system based on F5G communication is provided.
[0027] In one embodiment, the electromechanical installation module control system based on F5G communication includes:
[0028] The parameterized model construction module is used to analyze a pre-defined electromechanical installation module, obtain the module data information, module structural relationships, and module interaction relationships of the electromechanical installation module, and construct a parameterized model of the electromechanical installation module based on the module data information, the module structural relationships, and the module interaction relationships; wherein, the module data information includes module basic data information, module attribute data information, and module functional data information;
[0029] The environmental factor determination module is used to analyze the installation site information of the electromechanical installation module to obtain environmental impact factors;
[0030] The control strategy determination module is used to construct the installation control strategy of the electromechanical installation module based on the parameterized model and the environmental influence factors, through individual soldier combat simulation and neural network model.
[0031] The module installation control module is used to realize the installation control between electromechanical installation modules based on the F5G communication network according to the aforementioned installation control strategy.
[0032] In one embodiment, the calculation formula for constructing the parameterized model of the electromechanical installation module based on the module data information, module structural relationships, and module interaction relationships is as follows:
[0033]
[0034] In the formula, Representing a parametric model, This represents the module's basic data information. This represents module attribute data information. This indicates module function data information. Indicates the structural relationships between modules. This indicates the interaction relationship between modules.
[0035] In one embodiment, the installation site information of the electromechanical installation module is analyzed, and the formula for calculating the environmental impact factor is obtained as follows:
[0036] E= as*V*m μ[δ* m-1 +1] V ̃
[0037]
[0038] In the formula, This represents the energy consumption density function of the electromechanical installation module under the current installation environment. This represents the energy change of the electromechanical installation module during one operation in the current installation site environment. This indicates the volume of the electromechanical mounting module. This indicates the number of tests conducted on the electromechanical installation module under the current installation site environment. Represents density factor, This represents the coefficient of friction of the electromechanical mounting module during the experiment. This indicates the volume of the electromechanical mounting module that experienced wear during the experiment. This indicates environmental impact factors.
[0039] In one embodiment, the control strategy determination module includes an adaptability calculation module, a combat position determination module, and a control strategy construction module, wherein,
[0040] The adaptability calculation module is used to simulate individual combat operations of the electromechanical installation module using the individual combat simulation method. It assigns values to the simulated individual soldiers through a parameterized model and calculates the individual adaptability between the assigned individual soldiers.
[0041] The combat position determination module is used for individual soldiers based on simulation. It constructs a neural network model through a long short-term memory neural network and takes the initial combat position and individual soldier function as input to the neural network model to obtain the optimized individual soldier combat position.
[0042] The control strategy construction module is used to construct the installation control strategy for each electromechanical installation module based on the individual soldier's adaptability, the individual soldier's combat position, and environmental influencing factors.
[0043] In one embodiment, the calculation formula for the installation control strategy of each electromechanical installation module, based on the individual soldier's adaptability, the individual soldier's combat position, and environmental influencing factors, is as follows:
[0044]
[0045] In the formula, This indicates the installation sequence of electromechanical installation module A and electromechanical installation module B, i.e., the installation control strategy; if Therefore, the installation sequence of electromechanical installation module A is before that of electromechanical installation module B. Indicates the comparison threshold; This indicates the optimized individual soldier's combat position; Indicates environmental impact factors, This indicates the compatibility between electromechanical installation module A and electromechanical installation module B.
[0046] The technical solutions provided by the embodiments of the present invention may include the following beneficial effects:
[0047] 1. Based on the module information and the structural and interactive relationships between modules, a parameterized model of each module is constructed to fully understand the module information and provide comprehensive underlying data for subsequent calculations; considering the impact of environmental information on each module of electromechanical equipment, environmental impact factors are formed based on the electromechanical installation site information and incorporated into the calculation of module installation control strategies, thereby improving the feasibility and applicability of module installation control strategies;
[0048] 2. Based on the individual combat simulation method, individual combat simulation was conducted on the electromechanical installation modules, and a neural network model was constructed to optimize the allocation of individual combat positions. The installation control strategy for each module was obtained from the optimized individual combat positions, the adaptability between individuals, and environmental influencing factors. This greatly optimized the efficiency of electromechanical installation, helped reduce safety hazards, effectively shortened the construction period, and significantly improved the quality of the project while reducing construction costs.
[0049] 3. This invention can effectively solve the problem that existing electromechanical modular installation technology does not have comprehensive information acquisition for each electromechanical module, which affects the calculation of the subsequent module installation sequence and the final module installation strategy is not optimal, thus reducing construction efficiency and project quality. Furthermore, the above system or method has undergone a series of effect surveys and verifications, and can ultimately intelligently control the installation of each module in the electromechanical installation system and improve electromechanical installation efficiency through F5G communication.
[0050] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Attached Figure Description
[0051] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.
[0052] Figure 1 This is a flowchart illustrating an electromechanical installation module control method based on F5G communication according to an exemplary embodiment;
[0053] Figure 2 This is a structural block diagram of an electromechanical installation module control system based on F5G communication, according to an exemplary embodiment.
[0054] Figure 3 This is a schematic diagram of the structure of a neural network model according to an exemplary embodiment;
[0055] Figure 4 This is a schematic diagram of the structure of a computer device according to an exemplary embodiment. Implementation
[0056] The following description and accompanying drawings fully illustrate specific embodiments described herein to enable those skilled in the art to practice them. Some embodiments may include or substitute parts and features of other embodiments. The scope of the embodiments herein encompasses the entire scope of the claims and all available equivalents thereof. Throughout this document, the terms “first,” “second,” etc., are used only to distinguish one element from another without requiring or implying any actual relationship or order between the elements. Indeed, a first element can also be referred to as a second element, and vice versa. Furthermore, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a structure, apparatus, or device. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the structure, apparatus, or device that includes said element. The various embodiments described herein are presented in a progressive manner, with each embodiment focusing on its differences from other embodiments; similar or identical parts between embodiments can be referred to interchangeably.
[0057] The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer" used in this document to indicate orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings. They are used solely for the convenience of describing the document and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the invention. In the description herein, unless otherwise specified and limited, the terms "installed," "connected," and "linked" should be interpreted broadly. For example, they can refer to mechanical or electrical connections, or internal connections between two elements; they can be direct connections or indirect connections through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms according to the specific circumstances.
[0058] In this document, unless otherwise stated, the term "multiple" means two or more.
[0059] In this article, the character " / " indicates that the objects before and after it are in an "or" relationship. For example, A / B means: A or B.
[0060] In this article, the term "and / or" describes an association between objects, indicating that three relationships can exist. For example, A and / or B means: A or B, or A and B.
[0061] It should be understood that although the steps in the flowchart are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order constraint on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the diagram may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.
[0062] The modules in the apparatus or system of this application can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device in hardware form, or stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.
[0063] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.
[0064] Figure 1 An embodiment of the electromechanical installation module control method based on F5G communication of the present invention is shown.
[0065] In this optional embodiment, the electromechanical installation module control method based on F5G communication includes:
[0066] Step S101: Analyze the pre-defined electromechanical installation module to obtain the module data information, module structural relationships, and module interaction relationships of the electromechanical installation module, and construct a parameterized model of the electromechanical installation module based on the module data information, module structural relationships, and module interaction relationships; wherein, the module data information includes module basic data information, module attribute data information, and module functional data information;
[0067] Step S103: Analyze the installation site information of the electromechanical installation module to obtain the environmental impact factor; and based on the parameterized model and the environmental impact factor, construct the installation control strategy of the electromechanical installation module through individual combat simulation method and neural network model.
[0068] Step S105: According to the aforementioned installation control strategy, installation control between electromechanical installation modules is realized based on the F5G communication network.
[0069] Figure 2An embodiment of an electromechanical installation module control system based on F5G communication according to the present invention is shown.
[0070] In this optional embodiment, the electromechanical installation module control system based on F5G communication includes
[0071] The parameterized model construction module 201 is used to analyze a pre-defined electromechanical installation module, obtain the module data information, module structural relationships, and module interaction relationships of the electromechanical installation module, and construct a parameterized model of the electromechanical installation module based on the module data information, the module structural relationships, and the module interaction relationships; wherein, the module data information includes module basic data information, module attribute data information, and module functional data information;
[0072] The environmental factor determination module 203 is used to analyze the installation site information of the electromechanical installation module to obtain environmental impact factors;
[0073] The control strategy determination module 205 is used to construct the installation control strategy of the electromechanical installation module based on the parameterized model and the environmental influence factors, through individual soldier combat simulation and neural network model.
[0074] The module installation control module 207 is used to realize the installation control between electromechanical installation modules based on the F5G communication network according to the aforementioned installation control strategy.
[0075] In practical use, the pre-set electromechanical installation modules involve separating and operating each part of the electromechanical equipment, and then assembling them into a whole. Each module of the equipment has an independent function and operation control system, and these modules are connected through standardized interfaces to achieve the overall operation of the equipment.
[0076] In practical analysis, a BIM model of the electromechanical equipment unit is created, and BIM technology is used to generate electromechanical installation design drawings, select equipment, obtain electromechanical installation site information, and combine the installation environment requirements of the electromechanical equipment to obtain an overall installation plan for the electromechanical equipment. Based on the BIM model of the electromechanical equipment unit, modules are separated to obtain multiple modules, and module information for each module is obtained. The module information includes basic module data, attribute data, and functional data. The basic module data refers to parameters such as the shape, structure, size, and position of the current module in the electromechanical equipment; the module attribute data refers to the required operating environment parameters of the current module; and the module functional data refers to the functional parameters of the current module in the electromechanical equipment.
[0077] When constructing a parametric model of the electromechanical installation module based on the module data information, module structural relationships, and module interaction relationships, the calculation formula for the parametric model can be: ;in, Representing a parametric model, This represents the module's basic data information. This represents module attribute data information. This indicates module function data information. Indicates the structural relationships between modules. This indicates the interaction relationship between modules.
[0078] Environmental impact factors are generated based on the electromechanical installation site information in the overall installation plan for electromechanical equipment. Since each module of the electromechanical equipment has different installation environment requirements, environmental impact factors are generated based on the installation site information without affecting the installation sequence determined by the structural relationships of each module. The formula for calculating the environmental impact factors is as follows:
[0079] E= as*V*m μ[δ* m-1 +1] V ̃
[0080]
[0081] In the formula, This represents the energy consumption density function of the electromechanical installation module under the current installation environment. This represents the energy change of the electromechanical installation module during one operation in the current installation site environment. This indicates the volume of the electromechanical mounting module. This indicates the number of tests conducted on the electromechanical installation module under the current installation site environment. Represents density factor, This represents the coefficient of friction of the electromechanical mounting module during the experiment. This indicates the volume of the electromechanical mounting module that experienced wear during the experiment. This indicates environmental impact factors.
[0082] In this embodiment, when constructing the installation control strategy for electromechanical equipment modules based on the parameterized model and the environmental impact factors, using individual soldier combat simulation and a neural network model, the individual soldier combat simulation method can be used to simulate individual soldier combat for the electromechanical installation modules. The parameterized model is used to assign values to the simulated individual soldiers, and the individual soldier fit between the assigned individual soldiers is calculated. Based on the simulated individual soldiers, a neural network model is constructed using a long short-term memory neural network, and the initial combat position and individual soldier function are used as inputs to the neural network model to obtain the optimized individual soldier combat position. Based on the individual soldier fit, the individual soldier combat position, and the environmental impact factors, the installation control strategy for each electromechanical installation module is constructed.
[0083] Correspondingly, for the system, the control strategy determination module 205 includes an adaptability calculation module (not shown in the figure), a combat position determination module (not shown in the figure), and a control strategy construction module (not shown in the figure). The adaptability calculation module is used to perform individual combat simulation on the electromechanical installation modules using an individual combat simulation method, assign values to the simulated individual soldiers through a parameterized model, and calculate the individual soldier adaptability between the assigned individual soldiers. The combat position determination module is used to construct a neural network model based on the simulated individual soldiers using a long short-term memory neural network, and uses the initial combat position and individual soldier function as inputs to the neural network model to obtain the optimized individual soldier combat position. The control strategy construction module is used to construct the installation control strategy for each electromechanical installation module based on the individual soldier adaptability, the individual soldier combat position, and environmental influencing factors.
[0084] Specifically, combining the parametric models of each installation module of the electromechanical equipment with environmental influencing factors, the electromechanical installation modules are simulated using the individual soldier combat simulation method. Each electromechanical installation module is regarded as an individual soldier, with different functions, varying degrees of adaptability between different functional individual soldiers, and different degrees of environmental influence on individual soldiers. The adaptability between individual soldiers represents the relationship between modules, including structural relationships and interaction relationships. The structural relationships are fixed influencing parameters, and the installation order of the electromechanical installation modules caused by the structural relationships is fixed and cannot be changed; the interaction relationships are variable influencing parameters, and the installation order of the electromechanical installation modules caused by the interaction relationships can be changed and adjusted.
[0085] For example, if there is an interactive relationship between electromechanical installation module A and electromechanical installation module B, that is, there is signal transmission between electromechanical installation module A and electromechanical installation module B, if the signal transmitted from electromechanical installation module A to electromechanical installation module B is usable information, then the installation order of electromechanical installation module A is before that of electromechanical installation module B; otherwise, there is no fixed installation order between electromechanical installation module A and electromechanical installation module B.
[0086] The formula for calculating the compatibility between individual soldiers is:
[0087]
[0088] in, This indicates the compatibility between electromechanical installation module A and electromechanical installation module B. This indicates the availability of the information transmitted from electromechanical installation module B to electromechanical installation module A for electromechanical installation module A. This indicates the availability of the information transmitted from electromechanical installation module A to electromechanical installation module B for electromechanical installation module B. This indicates that there is a definite order between electromechanical installation module A and electromechanical installation module B.
[0089] Based on the initialization of individual soldier's combat position using individual soldier functions, a neural network model is constructed using a long short-term memory neural network to optimize the allocation of individual soldier's combat position. The initial combat position and individual soldier functions are used as inputs to the position optimization neural network, and after deep learning, the optimized individual soldier's combat position is output.
[0090] In a neural network model, each neuron has a state *c* to store the long-term unit state, and another state *h*, which is highly sensitive to short-term inputs. Therefore, when a unit outputs data at the current time step, it is accompanied by both the long-term and short-term states from the previous time step. Three control switches are used in the neural network model to control whether to continue storing the long-term state *c*, input the short-term state into the long-term state, and whether to use the long-term state as the current output. The specific calculation formulas for the three control switches are as follows:
[0091]
[0092]
[0093]
[0094] in, , , These represent three switches. For activation function, , , These represent the weights of the three switches. This represents the short-term state of the cell at the previous moment. This represents the input of the cell at the current time, where t represents the current time. , , These represent the biases of the three switches. The long-term state of the cell at the current moment is:
[0095]
[0096] in, This represents the long-term state of the cell at the current moment. This indicates element-wise multiplication. This represents the activation function. The weights represent the long-term state of the current cell. This represents the bias of the current unit's long-term state. The output of the neural network model is:
[0097]
[0098] in, This represents the output of the neural network model. The parameters in the neural network are updated by optimizing the output error based on the location using the existing gradient descent method until the final output error falls within a preset range, thus completing the training of the neural network model.
[0099] Based on the optimized individual soldier combat position, the compatibility between soldiers, and environmental influencing factors, an installation control strategy for each module is constructed, with the specific formula as follows:
[0100]
[0101] in, This indicates the installation sequence of electromechanical installation module A and electromechanical installation module B. If the installation order of electromechanical installation module A is before that of electromechanical installation module B, and vice versa. This represents the comparison threshold, which can be obtained experimentally.
[0102] Furthermore, in practical application, after determining the installation control strategy for each module, the parametric models of each module and the overall installation plan of the electromechanical equipment can be obtained and entered into the 3D verification model for module installation simulation to test the feasibility of the current module installation control strategy. The adjustable module installation order within the current module installation control strategy is then modified, and the modified strategy is re-entered into the 3D verification model for simulation. This process iterates through all adjustable module installation control strategies, and the optimal strategy is selected based on the final test results. An adjustable module installation order refers to a situation where there is no fixed installation order between modules.
[0103] After determining the optimal module installation control strategy, the electromechanical equipment is installed in modules. After the current module is installed, the next module in the installation sequence is notified to install via F5G communication, and interactive information is sent to the modules that have information interaction needs with the current module, thereby controlling the installation of each module in the electromechanical installation system.
[0104] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 4As shown, the computer device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database stores static and dynamic information data. The network interface communicates with external terminals via a network connection. When the computer program is executed by the processor, it implements the steps in the above method embodiments.
[0105] Those skilled in the art will understand that Figure 4 The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device to which the present invention is applied. A specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0106] In one embodiment, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above method embodiments.
[0107] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon that, when executed by a processor, implements the steps in the method embodiments described above.
[0108] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the methods described above. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical storage, etc. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.
[0109] This invention is not limited to the structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this invention is limited only by the appended claims.
Claims
1. A method of controlling a mechanical and electrical installation module based on F5G communication, characterized in that, The method comprises the following steps: analyzing pre-set electromechanical installation modules to obtain module data information, module structure relationship and module interaction relationship of the electromechanical installation modules, and constructing a parameterized model of the electromechanical installation modules according to the module data information, the module structure relationship and the module interaction relationship; wherein the module data information comprises module basic data information, module attribute data information and module function data information; analyzing installation site information of the electromechanical installation modules to obtain environmental influence factors; and constructing an installation control strategy of the electromechanical installation modules based on the parameterized model and the environmental influence factors through a single soldier combat simulation method and a neural network model; implementing installation control between the electromechanical installation modules based on the installation control strategy and a F5G communication network; constructing an installation control strategy of the electromechanical installation modules based on the parameterized model and the environmental influence factors through the single soldier combat simulation method and the neural network model comprises: carrying out single soldier combat simulation on the electromechanical installation modules through the single soldier combat simulation method, assigning values to the simulated single soldiers through the parameterized model, and calculating single soldier adaptation degrees between the assigned single soldiers; constructing a position neural network model through a long short-term memory neural network based on the simulated single soldiers, and taking initial combat positions of the single soldiers and functions of the single soldiers as inputs of the neural network model to obtain optimized combat positions of the single soldiers; constructing the installation control strategy of each electromechanical installation module according to the single soldier adaptation degrees, the combat positions of the single soldiers and the environmental influence factors. 2.The F5G communication-based electromechanical installation module control method of claim 1, wherein, A calculation formula for constructing the parameterized model of the electromechanical installation modules according to the module data information, the module structure relationship and the module interaction relationship is: ; In the formula, representing a parameterized model, representing module basic data information, representing module attribute data information, representing module function data information, representing module structure relationship, representing module interaction relationship. 3.The F5G communication-based electromechanical installation module control method of claim 1, wherein, A calculation formula for obtaining the environmental influence factors by analyzing the installation site information of the electromechanical installation modules is: ; ; wherein represents the consumption density function of the electromechanical installation module in the current installation site environment, represents the energy change of the electromechanical installation module for one run in the current installation site environment, represents the volume of the electromechanical installation module, represents the number of experiments of the electromechanical installation module in the current installation site environment, represents the density factor, represents the friction coefficient of the electromechanical installation module during the experiment, represents the volume of wear of the electromechanical installation module during the experiment, represents the environmental impact factor. 4.The F5G communication-based electromechanical installation module control method of claim 1, wherein, A calculation formula for constructing the installation control strategy of each electromechanical installation module according to the single soldier adaptation degrees, the combat positions of the single soldiers and the environmental influence factors is: ; In the formula, represents the installation order of the electromechanical installation module A and the electromechanical installation module B, that is, the installation control strategy; if , the installation order of the electromechanical installation module A is prior to that of the electromechanical installation module B, represents a comparison threshold value; represents the optimized single-soldier combat position; represents an environmental influence factor, represents the degree of adaptation between the electromechanical installation module A and the electromechanical installation module B.
5. An electromechanical installation module control system based on F5G communication, characterized in that, The method comprises the following steps: a parameterized model construction module is configured to analyze pre-set electromechanical installation modules to obtain module data information, module structure relationship and module interaction relationship of the electromechanical installation modules, and construct a parameterized model of the electromechanical installation modules according to the module data information, the module structure relationship and the module interaction relationship; wherein the module data information comprises module basic data information, module attribute data information and module function data information; an environmental factor determination module is configured to analyze installation site information of the electromechanical installation modules to obtain environmental influence factors; a control strategy determination module is configured to construct an installation control strategy of the electromechanical installation modules based on the parameterized model and the environmental influence factors through a single soldier combat simulation method and a neural network model; a module installation control module is configured to implement installation control between the electromechanical installation modules based on the installation control strategy and a F5G communication network; the control strategy determination module comprises an adaptation degree calculation module, a combat position determination module and a control strategy construction module, wherein The fitness calculation module is configured to simulate individual combat of the electromechanical installation module by using an individual combat simulation method, assign values to the simulated individuals by using a parameterized model, and calculate individual fitness between the assigned individuals. The combat position determination module is configured to construct a neural network model by using a long short-term memory neural network based on the simulated individuals, input initial combat positions of the individuals and individual functions into the neural network model as inputs of the neural network model, and obtain optimized combat positions of the individuals. The control strategy construction module is configured to construct installation control strategies of the electromechanical installation modules according to the individual fitness, the combat positions of the individuals, and the environmental influence factors.
6. The F5G communication based electromechanical installation module control system according to claim 5, wherein, According to the module data information, the module structure relationship, and the module interaction relationship, a calculation formula of the parameterized model of the electromechanical installation module is constructed as follows: ; In the formula, representing a parameterized model, representing module basic data information, representing module attribute data information, representing module function data information, representing module structure relationship, representing module interaction relationship. 7.The F5G communication based electromechanical installation module control system of claim 5, wherein, According to the module data information, the module structure relationship, and the module interaction relationship, a calculation formula of the parameterized model of the electromechanical installation module is constructed as follows: ; ; wherein represents the consumption density function of the electromechanical installation module in the current installation site environment, represents the energy change of the electromechanical installation module for one run in the current installation site environment, represents the volume of the electromechanical installation module, represents the number of experiments of the electromechanical installation module in the current installation site environment, represents the density factor, represents the friction coefficient of the electromechanical installation module during the experiment, represents the volume of wear of the electromechanical installation module during the experiment, represents the environmental impact factor. 8.The F5G communication based electromechanical installation module control system of claim 5, wherein, According to the module data information, the module structure relationship, and the module interaction relationship, a calculation formula of the parameterized model of the electromechanical installation module is constructed as follows: According to the module data information, the module structure relationship, and the module interaction relationship, a calculation formula of the parameterized model of the electromechanical installation module is constructed as follows: ; In the formula, represents the installation order of the electromechanical installation module A and the electromechanical installation module B, that is, the installation control strategy; if , the installation order of the electromechanical installation module A is prior to that of the electromechanical installation module B, represents a comparison threshold value; represents the optimized single-soldier combat position; represents an environmental influence factor; represents the degree of adaptation between the electromechanical installation module A and the electromechanical installation module B.
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