Centralized control training system, method and device, electronic equipment and storage medium
Through the centralized training system, the combination of production modules, databases and demonstration modules is used to solve the problems of intuitiveness and inefficiency in traditional equipment system training, and achieve more in-depth and efficient equipment system training.
Patent Information
- Application Number
- CN202411657083.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-19
- Publication Date
- 2025-02-18
AI Technical Summary
Existing training system In traditional equipment system training, the equipment system diagram cannot intuitively display the system process, and the working principles and operation requirements of the equipment are difficult to understand, resulting in inefficient training and difficult to understand.
Provide a centralized training system, including production modules, databases and demonstration modules, to obtain data to be learned, generate process data, construct data and structure data, and store them in the database, and visualize and dynamic through the demonstration module. Process display.
On the basis of maintaining the existing knowledge, add more learning content vertically to reduce the difficulty of training understanding, improve training efficiency, and enhance the correlation between system diagrams, training procedures and safety procedures.
Smart Images
Figure CN119479410A_ABST
Abstract
Description
Technical Field
[0001] The present disclosure relates to the field of data processing technology, and in particular to a centralized control training system and method, device, electronic equipment and storage medium. Background Art
[0002] In the existing training system, when conducting traditional equipment system training, the equipment system diagram cannot intuitively display the system process, the working principles of the equipment and valves in the equipment system, and the operating requirements of the equipment system under various working conditions. Figure 1 Only with annotations can the trained staff gradually understand the equipment system. In addition, the traditional equipment system diagram is inefficient to learn by oneself. They can only compare the equipment system again and again and memorize it by force, but cannot understand the layout principle and working principle of the equipment system.
[0003] Therefore, how to add more learning content vertically while maintaining the breadth of existing knowledge during the training process to reduce the difficulty of understanding in the training process is an urgent problem that needs to be solved. Summary of the invention
[0004] The present disclosure provides a centralized control training system and method, device, electronic device and storage medium. Its main purpose is to solve the problem of how to vertically add more learning content on the basis of maintaining the breadth of existing knowledge in the training process to reduce the difficulty of understanding in the training process.
[0005] According to a first aspect of the present disclosure, a centralized control training system is provided, which includes: a production module, a database and a demonstration module.
[0006] The production module is used to obtain the data to be learned in response to the data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data;
[0007] The production module is also used to generate security data according to preset security information, and transmit the security data and the target data to the database;
[0008] The database is used to receive the security data and the target data, and store and process the security data and the target data;
[0009] The demonstration module is used to, in response to a data retrieval instruction, obtain target process data, target construction data, target security data and target structure data corresponding to the data retrieval instruction from the database;
[0010] The demonstration module is also used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data.
[0011] Optionally, the production module is further used to: perform mapping processing according to the data to be learned through a preset mapping algorithm to obtain the process data.
[0012] Optionally, the production module is further used to: add a preset structure diagram according to the data to be learned to obtain the structure data.
[0013] Optionally, the production module is further used to: perform construction modeling processing according to the data to be learned through a preset construction algorithm to obtain the construction data.
[0014] According to a second aspect of the present disclosure, a centralized control training method is provided, comprising:
[0015] In response to the data retrieval instruction, obtaining target process data, target construction data, target security data and target structure data corresponding to the data retrieval instruction from a preset database;
[0016] A data operation process is generated according to the target process data, and the data operation process, the target construction data, the target safety data and the target structure data are visualized.
[0017] Optionally, before responding to the data retrieval instruction, the method further includes:
[0018] Responding to the data production instruction, acquiring the data to be learned, and performing data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data;
[0019] Security data is generated according to preset security information, and the security data and the target data are stored and processed in a preset database.
[0020] Optionally, performing data production processing according to the data to be learned to obtain target data includes:
[0021] Performing mapping processing according to the data to be learned by using a preset mapping algorithm to obtain the process data;
[0022] Add a preset structure diagram according to the data to be learned to obtain the structure data;
[0023] The structured data is obtained by performing structured modeling processing according to the data to be learned using a preset structured algorithm.
[0024] According to a third aspect of the present disclosure, there is provided a centralized control training device, comprising:
[0025] A retrieval unit, configured to, in response to a data retrieval instruction, obtain target process data, target construction data, target security data, and target structure data corresponding to the data retrieval instruction from a preset database;
[0026] A display unit is used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data.
[0027] Optionally, the device further comprises:
[0028] A production unit, configured to obtain the data to be learned in response to the data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data;
[0029] The storage unit is used to generate security data according to preset security information, and store and process the security data and the target data in a preset database.
[0030] Optionally, the production unit is further used for:
[0031] Performing mapping processing according to the data to be learned by using a preset mapping algorithm to obtain the process data;
[0032] Add a preset structure diagram according to the data to be learned to obtain the structure data;
[0033] The structured data is obtained by performing structured modeling processing according to the data to be learned using a preset structured algorithm.
[0034] According to a fourth aspect of the present disclosure, there is provided an electronic device, including:
[0035] at least one processor; and
[0036] a memory communicatively connected to the at least one processor; wherein,
[0037] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method described in the second aspect.
[0038] According to a fifth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the second aspect.
[0039] According to a sixth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the method described in the second aspect is implemented.
[0040] The centralized control training system and method, device, electronic device and storage medium provided by the present disclosure include: a production module, a database and a demonstration module, wherein the production module is used to obtain the data to be learned in response to a data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data; the production module is also used to generate safety data according to preset safety information, and transmit the safety data and the target data to the database; the database is used to receive the safety data and the target data, and store and process the safety data and the target data; the demonstration module is used to obtain the target process data, target construction data, target safety data and target structure data corresponding to the data retrieval instruction from the database in response to a data retrieval instruction; the demonstration module is also used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data. Compared with the related art, the disclosed embodiment uses safety data and target data to conduct safety training courseware, system dynamic process, and accident dynamic demonstration. On the basis of maintaining the breadth of existing knowledge, more learning content is added vertically, which reduces the difficulty of understanding in the training process and solves the problems of low training efficiency and poor correlation between system diagrams (data to be learned), training procedures, and safety regulations.
[0041] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.
[0043] Figure 1 A schematic diagram of the structure of a centralized control training system provided by an embodiment of the present disclosure;
[0044] Figure 2 A schematic diagram of the operation flow of a water supply system provided by an embodiment of the present disclosure;
[0045] Figure 3 An internal structure diagram of a horizontal high-pressure heater provided in an embodiment of the present disclosure;
[0046] Figure 4A structural diagram of a middle partition wall provided in an embodiment of the present disclosure;
[0047] Figure 5 This is a safety training interface diagram provided by an embodiment of the present disclosure;
[0048] Figure 6 A database interface diagram provided by an embodiment of the present disclosure;
[0049] Figure 7 A schematic diagram of the condensate recycling principle provided by an embodiment of the present disclosure;
[0050] Figure 8 A schematic diagram of the water seal design principle of a shaft seal system provided in an embodiment of the present disclosure;
[0051] Fig. 9 A pipeline modeling schematic diagram provided by an embodiment of the present disclosure;
[0052] Fig.10 A flowchart of a centralized control training method provided by an embodiment of the present disclosure;
[0053] Fig.11 A structural diagram of a centralized control training device provided by an embodiment of the present disclosure;
[0054] Fig.12 A structural schematic diagram of another centralized control training device provided by an embodiment of the present disclosure;
[0055] Fig.13 A schematic block diagram of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION
[0056] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.
[0057] The centralized control training system described in the embodiments of the present disclosure can be applied to any training scenario, such as: company business training, factory safety training, factory technical training, etc. Specifically, the embodiments of the present disclosure do not limit the application scenarios of the centralized control training system.
[0058] The centralized control training system described in the embodiment of the present disclosure at least includes safety training courseware, system dynamic process, and accident dynamic demonstration. Through the "hyperlink" function in document presentation software such as PPT and WPS, each training content is inserted into the software one by one, and learning can be carried out by clicking. The centralized control training system is provided with a material library, and system diagrams, flow charts, accident conditions, etc. that conform to actual work can be produced by retrieving the content of the material library. The centralized control training system restores the internal structure one by one through 3D modeling, intuitively understands the working principle of each internal component, and embeds the annotations in the training procedures and equipment specifications into the centralized control training system. The embodiment of the present disclosure solves the problems of low efficiency of existing centralized control professional training and poor correlation between system diagrams, training procedures, and safety regulations.
[0059] The centralized control training system and method, device, electronic device and storage medium of the embodiments of the present disclosure are described below with reference to the accompanying drawings.
[0060] Figure 1 A schematic diagram of the structure of a centralized control training system provided in an embodiment of the present disclosure.
[0061] like Figure 1 As shown, the centralized control training system includes: a production module 11, a database 12 and a demonstration module 13.
[0062] The production module 11 is used to obtain the data to be learned in response to the data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data;
[0063] The production module 11 is also used to generate security data according to preset security information, and transmit the security data and the target data to the database 12;
[0064] The database 12 is used to receive the security data and the target data, and store and process the security data and the target data;
[0065] The demonstration module 13 is used to, in response to a data retrieval instruction, obtain target process data, target construction data, target safety data and target structure data corresponding to the data retrieval instruction from the database 12;
[0066] The demonstration module 13 is also used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data.
[0067] In the embodiments of the present disclosure, the data to be learned is data that needs to be trained, including but not limited to: CAD drawings of the equipment to be trained, drawings of equipment, pipelines, valves, etc., functions of various equipment and parameter data, etc. The safety data is safety matters that need to be paid attention to during work, including but not limited to: accident reports, safety training videos, etc. Specifically, the embodiments of the present disclosure do not limit the data to be learned and the safety data.
[0068] Among them, the preset safety information is the safety matters that need to be paid attention to that are acquired in advance, such as safety rules, operating specifications, etc. The target data is the final training data produced according to the data to be learned, for example: the system diagram remade according to the CAD drawings in the data to be learned, the remade system equipment, pipelines, valves, etc. (process data), the data of many internal structure diagrams of the equipment added on the basis of the data to be learned (structural data), the internal structures are made into 3D structures one by one on the basis of the data to be learned, and are equipped with graphic explanations, annotations, etc. Specifically, the disclosed embodiments do not limit the content of the preset safety information and the target data.
[0069] The centralized control training system described in the embodiment of the present disclosure can at least: add process animation according to the traditional system diagram, expand the depth of training vertically, add the internal structure of the design principle and the 3D display of the internal structure, make the system learning concrete, visualize the system diagram, and apply it in all aspects.
[0070] Specifically, about adding process animation based on traditional system diagrams, for example: re-making system diagrams based on CAD drawings in the data to be learned, using PPT modules to make system equipment, pipelines, valves, etc., and the drawings should meet the requirements of mechanical drawing to ensure production accuracy and the rigor of training teaching aids. Use animation to demonstrate the entire system process, equipment operation, etc. Figure 2 As shown, Figure 2 It is a schematic diagram of the operation flow of a water supply system in the process data.
[0071] Regarding vertical expansion of training depth, add design principles and internal structures. For example, when the data to be learned includes production site equipment data, and many equipment on the production site are wrapped in insulation layers to ensure safety, many equipment internal structure diagrams can be added through the centralized control training system to allow trainees to better understand the working principles of the equipment and the system operation process, such as Figure 3 As shown, Figure 3 This is the internal structure diagram of a horizontal high-pressure heater in the structural data.
[0072] Regarding the 3D display of the internal structure, the system learning is concrete. For example, when the data to be learned includes the data of the boiler in a power plant (such as the boiler body is more than 90 meters high, the plant occupies a large area, and in order to ensure the thermal efficiency of the boiler, it is wrapped in an insulation layer, and its internal structure cannot be checked intuitively, the learning efficiency is low, and the learning time is long), at this time, the internal structure of the boiler can be made into a 3D structure one by one through the centralized control training system, and it is accompanied by graphic explanations and annotations, such as Figure 4 As shown, Figure 4 It is a kind of middle partition wall construction diagram in the construction data.
[0073] Regarding the visualization and system diagram of centralized learning, it has multiple applications, for example, adding safety training to the centralized control training system. Add a safety training section to the directory page of the centralized control training system, and regularly update the safety training content, such as accident notifications, safety training videos, etc. Figure 5 As shown, Figure 5 This is a safety training section interface diagram provided in an embodiment of the present disclosure.
[0074] In the early stage of system production, the material library, i.e. the database, was created first. In the process of making the data operation flow, it is only necessary to retrieve the target data from the material library, thus reducing repetitive operations, such as Figure 6 As shown, Figure 6 A database interface diagram provided for an embodiment of the present disclosure.
[0075] At the same time, it should be noted that professional staff in the training department can retrieve and produce more targeted training courseware from the material library (database), and trainees can also produce training content that suits their own technical shortcomings.
[0076] The centralized control training system provided by the present disclosure includes: a production module, a database and a demonstration module. The production module is used to obtain the data to be learned in response to a data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data; the production module is also used to generate safety data according to preset safety information, and transmit the safety data and the target data to the database; the database is used to receive the safety data and the target data, and store and process the safety data and the target data; the demonstration module is used to obtain the target process data, target construction data, target safety data and target structure data corresponding to the data retrieval instruction from the database in response to a data retrieval instruction; the demonstration module is also used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data. Compared with the related art, the disclosed embodiment uses safety data and target data to conduct safety training courseware, system dynamic process, and accident dynamic demonstration. On the basis of maintaining the breadth of existing knowledge, more learning content is added vertically, which reduces the difficulty of understanding in the training process and solves the problems of low training efficiency and poor correlation between system diagrams (data to be learned), training procedures, and safety regulations.
[0077] In one possible implementation of the embodiment of the present disclosure, the production module 11 is further used to: perform mapping processing according to the data to be learned by using a preset mapping algorithm to obtain the process data.
[0078] In one possible implementation of the embodiment of the present disclosure, the production module 11 is further used to: add a preset structure diagram according to the data to be learned to obtain the structure data.
[0079] In one possible implementation of the embodiment of the present disclosure, the production module 11 is further used to: perform construction modeling processing according to the data to be learned by using a preset construction algorithm to obtain the construction data.
[0080] In the disclosed embodiment, the centralized control training system can produce all modules through PPT software, establish a directory navigation page, and be consistent with the DCS operating system, making it more convenient for employees to use.
[0081] By maintaining a high degree of consistency between the visualized equipment drawing and the CAD equipment drawing, multiple comparisons and verifications are performed to ensure accuracy during later use.
[0082] For safety training, the method chosen is to implant safety concepts, and closely combine safety videos, safety courseware, and accident reports when reviewing system diagrams. For example: insert a large number of on-site correct and incorrect demonstration pictures, explain the problems existing in incorrect demonstrations, and indicate the source of the "Safety Regulations". At the same time, two learning tickets are added to the system diagram. During the commissioning and shutdown of the learning system, the operation tickets are compared one by one, and the dangerous point pre-control tickets are studied to be aware of the dangers and hidden dangers in the operation process.
[0083] At the same time, the centralized control training system can add the design principles of the equipment to be trained during the system production process (i.e., vertically expand the depth of training and add the internal structure of the design principles). By explaining the design principles of the equipment to be trained, everyone's memory efficiency in the learning process can be improved. Including but not limited to: providing equipment design principles and explaining their principles through text descriptions in the centralized control training system. For example: Figure 7 As shown, Figure 7 A schematic diagram of the condensate recycling principle provided in an embodiment of the present disclosure.
[0084] Question: Why is the condensate recirculation pipe connected from behind the shaft seal cooler instead of from the condensate pump outlet?
[0085] Answer: If Figure 7 As shown in the figure, if the recirculation pipe is connected from the outlet of the condensate pump, the condensate recirculation does not pass through the shaft seal cooler, then the exhaust steam of the shaft seal cooler cannot condense, and the vacuum of the steam turbine will drop, or the vacuum cannot be established at startup. Therefore, the condensate recirculation pipe must be connected from behind the shaft seal cooler. And we can also draw inferences from one example, that is, as mentioned above, the condensate users with large throughflow must be drawn from behind the shaft seal heater.
[0086] Example 2: If Figure 8 As shown, Figure 8 A schematic diagram of the water seal design principle of a shaft seal system provided in an embodiment of the present disclosure.
[0087] Question: Why is the water seal in the shaft sealing system designed in a multi-stage manner?
[0088] Answer: If Figure 8 The multi-stage water seal shown in the figure is connected to the steam side of the shaft seal heater on one side and the exhaust device on the other side to guide the drain water into the exhaust device. The principle of the U-tube is used. For details, please refer to fluid mechanics p=ρgh. Because the medium is fixed, ρ and g are both physical constants. In terms of design, the only way to resist the atmospheric pressure and prevent the exhaust device from leaking into the vacuum is to change the height. At the same time, according to the geographical location, at least 10 meters of water column is required, the manufacturing process is demanding, and the installation is difficult. Therefore, the pioneers of the industry designed it into a multi-stage method based on the principle of communicating vessels.
[0089] Adding this design principle description to the equipment diagram allows students to understand more design descriptions during the learning process, explain the system in multiple dimensions, and improve memory efficiency during the learning process.
[0090] Furthermore, 3D modeling is used to display the internal components of the device to be trained, so that its internal structure can be intuitively felt. Add equipment structure annotations and produce auxiliary structure diagrams (i.e. 3D display of the internal structure, visual system learning). In the modeling process, determine the balance between effect display and memory usage, and display the structural components in detail while avoiding excessive file usage to ensure smooth use. At the same time, annotate each structural component based on literature and indicate its source to ensure its rigor as a training aid. For example: After the 3D diagram of the water-cooled wall shows the internal situation, it can be reviewed by boiler professionals and used as a training material.
[0091] After on-site inspection and professional explanation of boilers, the details of the equipment to be trained can be restored through modeling, such as Fig. 9 As shown, Fig. 9 A schematic diagram of pipeline modeling provided in an embodiment of the present disclosure, in which the pipeline arrangement of the upper half of the rear water-cooled wall header becomes loose, in order to ensure smooth flow of flue gas, so only the rear water-cooled wall of the vertical water-cooled wall has a header; Fig. 9 The blue pipes on the left side are the connecting pipes between the spiral water-cooled wall and the vertical water-cooled wall. Because the density of the spiral twill pipes is much greater than that of the vertical pipes, some of the spiral water-cooled wall pipes do not enter the middle header of the water-cooled wall but are directly bent to become the vertical water-cooled wall.
[0092] The specific final modeling diagram is as follows: Figure 3 As shown in the figure, the internal structure and auxiliary structure of the boiler are made together, a large amount of literature is consulted, noun annotations are added, and the presentation is combined with pictures and texts. All noun annotations are from literature, ensuring the rigor of the training tool.
[0093] Corresponding to the above centralized control training system, Fig.10 A flowchart of a centralized control training method provided in an embodiment of the present disclosure.
[0094] like Fig.10 As shown, the centralized control training method comprises:
[0095] Step 1001, in response to a data retrieval instruction, obtaining target process data, target construction data, target security data and target structure data corresponding to the data retrieval instruction from a preset database.
[0096] In the disclosed embodiment, in the early stage of system production, a material library, i.e., a preset database, is preferentially produced, and various equipment diagrams in the data to be learned are redesigned. During the production process of the data operation flow, only the target data needs to be retrieved from the material library, thereby reducing repetitive operations.
[0097] At the same time, it should be noted that professional staff in the training department can retrieve and produce more targeted training courseware from the material library (database), and trainees can also produce training content that suits their own technical shortcomings.
[0098] Step 1002, generating a data operation process according to the target process data, and visualizing the data operation process, the target construction data, the target security data and the target structure data.
[0099] In the disclosed embodiment, data can be displayed for training.
[0100] In one implementable manner of the disclosed embodiment, in the early stage of system production, a material library, i.e., a preset database, is preferentially produced, and regarding the production of the content in the preset database, the following method may also be used but is not limited to: obtaining the data to be learned in response to a data production instruction, and performing data production processing based on the data to be learned to obtain target data; wherein the target data includes at least process data, construction data, and structural data; generating security data based on preset security information, and storing and processing the security data and the target data in the preset database.
[0101] In one implementable manner of the embodiment of the present disclosure, when performing data production processing based on the data to be learned, the following manner may also be adopted but is not limited to: performing mapping processing based on the data to be learned through a preset mapping algorithm to obtain the process data; adding a preset structure diagram based on the data to be learned to obtain the structure data; performing structural modeling processing based on the data to be learned through a preset construction algorithm to obtain the construction data.
[0102] In the embodiments of the present disclosure, the preset drawing algorithm is a custom-set algorithm, such as CAD drawing, etc., and the preset construction algorithm is a custom-set algorithm, such as 3D modeling, etc. Specifically, the embodiments of the present disclosure do not limit the preset drawing algorithm and the preset construction algorithm.
[0103] Corresponding to the above-mentioned centralized control training method, the present invention also provides a centralized control training device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.
[0104] Fig.11A schematic diagram of the structure of a centralized control training device provided in an embodiment of the present disclosure is shown in FIG. Fig.11 As shown, including:
[0105] 1101 a retrieving unit, configured to, in response to a data retrieving instruction, obtain target process data, target construction data, target security data, and target structure data corresponding to the data retrieving instruction from a preset database;
[0106] 1102 display unit, used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target security data and the target structure data.
[0107] The centralized control training device provided by the present disclosure includes: a production module, a database and a demonstration module. The production module is used to obtain the data to be learned in response to a data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data; the production module is also used to generate safety data according to preset safety information, and transmit the safety data and the target data to the database; the database is used to receive the safety data and the target data, and store and process the safety data and the target data; the demonstration module is used to obtain the target process data, target construction data, target safety data and target structure data corresponding to the data retrieval instruction from the database in response to a data retrieval instruction; the demonstration module is also used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data. Compared with the related art, the disclosed embodiment uses safety data and target data to conduct safety training courseware, system dynamic process, and accident dynamic demonstration. On the basis of maintaining the breadth of existing knowledge, more learning content is added vertically, which reduces the difficulty of understanding in the training process and solves the problems of low training efficiency and poor correlation between system diagrams (data to be learned), training procedures, and safety regulations.
[0108] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Fig.12 As shown, the device also includes:
[0109] The making unit 1103 is used to obtain the data to be learned in response to the data making instruction, and perform data making processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data;
[0110] The storage unit 1104 is used to generate security data according to preset security information, and store and process the security data and the target data in a preset database.
[0111] Furthermore, in a possible implementation of the embodiment of the present disclosure, the making unit 1103 is further configured to:
[0112] Performing mapping processing according to the data to be learned by using a preset mapping algorithm to obtain the process data;
[0113] Add a preset structure diagram according to the data to be learned to obtain the structure data;
[0114] The structured data is obtained by performing structured modeling processing according to the data to be learned using a preset structured algorithm.
[0115] According to a fourth aspect of the present disclosure, there is provided an electronic device, including:
[0116] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.
[0117] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
[0118] Fig.13 A schematic block diagram of an example electronic device 1300 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.
[0119] like Fig.13As shown, the device 1300 includes a computing unit 1301, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 1302 or a computer program loaded from a storage unit 1308 to a RAM (Random Access Memory) 1303. In the RAM 1303, various programs and data required for the operation of the device 1300 can also be stored. The computing unit 1301, the ROM 1302, and the RAM 1303 are connected to each other via a bus 1304. An I / O (Input / Output) interface 1305 is also connected to the bus 1304.
[0120] A number of components in the device 1300 are connected to the I / O interface 1305, including: an input unit 1306, such as a keyboard, a mouse, etc.; an output unit 1307, such as various types of displays, speakers, etc.; a storage unit 1308, such as a disk, an optical disk, etc.; and a communication unit 1309, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 1309 allows the device 1300 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.
[0121] The computing unit 1301 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 1301 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 1301 performs the various methods and processes described above, such as the centralized control training method. For example, in some embodiments, the centralized control training method may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 1308. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 1300 via the ROM 1302 and / or the communication unit 1309. When the computer program is loaded into the RAM 1303 and executed by the computing unit 1301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 1301 may be configured to execute the aforementioned centralized control training method in any other appropriate manner (for example, by means of firmware).
[0122] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
[0123] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.
[0124] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
[0125] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).
[0126] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.
[0127] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.
[0128] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.
[0129] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.
[0130] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.
Claims
1. A centralized control training system, characterized in that: include: Production modules, databases and demonstration modules, The production module is used to obtain the data to be learned in response to the data production instruction, and perform data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data; The production module is also used to generate security data according to preset security information, and transmit the security data and the target data to the database; The database is used to receive the security data and the target data, and store and process the security data and the target data; The demonstration module is used to, in response to a data retrieval instruction, obtain target process data, target construction data, target security data and target structure data corresponding to the data retrieval instruction from the database; The demonstration module is also used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data.
2. The system according to claim 1, characterized in that The production module is also used to: perform mapping processing according to the data to be learned through a preset mapping algorithm to obtain the process data.
3. The system according to claim 1, characterized in that The production module is also used to add a preset structure diagram according to the data to be learned to obtain the structure data.
4. The system according to claim 1, characterized in that The production module is also used to: perform construction modeling processing according to the data to be learned through a preset construction algorithm to obtain the construction data.
5. A centralized control training method, characterized in that: include: In response to the data retrieval instruction, obtaining target process data, target construction data, target security data and target structure data corresponding to the data retrieval instruction from a preset database; A data operation process is generated according to the target process data, and the data operation process, the target construction data, the target safety data and the target structure data are visualized.
6. The method according to claim 5, characterized in that Before responding to the data retrieval instruction, the method further includes: Responding to the data production instruction, acquiring the data to be learned, and performing data production processing according to the data to be learned to obtain target data; wherein the target data at least includes process data, construction data and structure data; Security data is generated according to preset security information, and the security data and the target data are stored and processed in a preset database.
7. The method according to claim 6, characterized in that The data preparation process is performed according to the data to be learned to obtain the target data, comprising: Performing mapping processing according to the data to be learned by using a preset mapping algorithm to obtain the process data; Add a preset structure diagram according to the data to be learned to obtain the structure data; The structured data is obtained by performing structured modeling processing according to the data to be learned using a preset structured algorithm.
8. A centralized control training device, characterized in that: include: A retrieval unit, configured to, in response to a data retrieval instruction, obtain target process data, target construction data, target security data, and target structure data corresponding to the data retrieval instruction from a preset database; A display unit is used to generate a data operation process according to the target process data, and visualize the data operation process, the target construction data, the target safety data and the target structure data.
9. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 5 to 7.
10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to cause the computer to execute the method according to any one of claims 5-7.