CN116631162A - Digital twinning-based water service equipment abnormality early warning method and device - Google Patents
Digital twinning-based water service equipment abnormality early warning method and device Download PDFInfo
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- G—PHYSICS
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
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Abstract
The application discloses a digital twin-based water service equipment abnormality early warning method and a digital twin-based water service equipment abnormality early warning device, wherein the method comprises the steps of obtaining product data of each water service equipment and constructing a digital twin body corresponding to each water service equipment based on the product data; establishing a data channel between water service equipment and a digital twin body; when the target dynamic data reach the first warning threshold and the change trend of the target dynamic data approaches the second warning threshold, determining the calculation result of the target digital twin body, and sending early warning information to the object to be notified corresponding to the target digital twin body. When the dynamic data reach the first warning threshold value and the dynamic data still change to the second warning threshold value, the application can send early warning to the maintainers and the surrounding residents in advance, so that the surrounding residents can avoid passing through the corresponding dangerous areas, and the maintainers can go to the corresponding areas for overhauling, thereby being capable of timely finding out the abnormality of the water service equipment and notifying the maintainers to process, having high abnormality early warning processing efficiency and not consuming extra labor cost.
Description
Technical Field
The application relates to the technical field of water service equipment management, in particular to a digital twinning-based water service equipment abnormality early warning method and device.
Background
The water service industry is widely regarded as an important link of the energy-saving and environment-friendly industry at present, and the water service industry is mainly characterized in that waste water treatment equipment is large, and the fire hydrant is small, and belongs to water service equipment of the water service industry. Because the water service equipment is numerous, the distribution range is large, and in actual conditions, inspection maintenance personnel are difficult to timely overhaul all the water service equipment, so that after some water service equipment fails, the water service equipment is not timely found and maintained, and finally the water service equipment is caused to have the conditions of pipe explosion and the like. The water service equipment is arranged in the urban area in a plurality of ways, is hidden, is easy to damage nearby resident users after pipe explosion occurs, and can bring about larger water service asset loss. At present, the number of inspection maintenance personnel can be increased only, the inspection frequency of the inspection maintenance personnel is increased to avoid the occurrence of the situations as far as possible, and the mode increases extra labor cost and causes larger workload to the inspection maintenance personnel.
Disclosure of Invention
In order to solve the problems, the embodiment of the application provides a digital twinning-based water service equipment abnormality early warning method and device.
In a first aspect, an embodiment of the present application provides a method for early warning of an abnormality of a water service device based on digital twinning, where the method includes:
acquiring product data of each water service device, and constructing a digital twin body corresponding to each water service device based on the product data;
establishing a data channel of the water service equipment and the digital twin body, and acquiring real-time data of the water service equipment and updating dynamic data of the digital twin body based on the real-time data;
when target dynamic data reach a first warning threshold value and the change trend of the target dynamic data approaches a second warning threshold value, determining an algorithm result of a target digital twin body based on the second warning threshold value, and sending early warning information to an object to be notified corresponding to the target digital twin body based on the algorithm result, wherein the difference between the first warning threshold value and standard data is smaller than the difference between the second warning threshold value and the standard data, and the standard data is an expected value of the target dynamic data.
Preferably, the obtaining product data of each water service device, and constructing a digital twin body corresponding to each water service device based on the product data, includes:
acquiring product data of each water service device, wherein the product data comprises place data, device data and attribute data;
constructing an attribute type standard library based on the product data, wherein the attribute type standard library comprises static data and dynamic data, the static data comprises the place data and the attribute data, and the dynamic data comprises the equipment data;
and constructing a digital twin corresponding to each water service device according to the attribute category standard library, wherein the digital twin is endowed with the static data and the dynamic data.
Preferably, when the target dynamic data reaches the first warning threshold and the trend of the target dynamic data approaches the second warning threshold, determining the calculation result of the target digital twin body based on the second warning threshold includes:
when target dynamic data reach a first warning threshold value, counting all the target dynamic data in a preset time period, and determining the change trend of the target dynamic data according to each target dynamic data;
and determining the calculation result of the target digital twin body based on a second warning threshold when the change trend represents that the target dynamic data approaches to the second warning threshold.
Preferably, the determining the calculation result of the target digital twin body based on the second warning threshold value includes:
determining a data type corresponding to the target dynamic data, and acquiring a preset database corresponding to the data type, wherein the preset database stores a mapping relation between the target dynamic data and the abnormal animation;
inquiring the preset database based on the second warning threshold value to obtain a target abnormal animation, wherein the target abnormal animation is the calculation result of the target digital twin body;
the results of the algorithm are shown at the target digital twin.
Preferably, the sending early warning information to the object to be notified corresponding to the target digital twin body based on the calculation result includes:
determining the coverage range of the calculation result in a virtual service scene, and acquiring a user object in the coverage range;
acquiring a necessary notification object of the target digital twin body, wherein the set of the necessary notification object and the user object is the object to be notified;
and sending early warning information to the object to be notified.
Preferably, the method further comprises:
determining an associated digital twin based on the target digital twin, and generating an associated processing list;
and determining an idle maintenance object closest to the coverage area, and sending maintenance information to the idle maintenance object, wherein the maintenance information comprises maintenance reminding information and the associated processing list.
Preferably, the method comprises:
determining a life cycle of each of the digital twins based on the historical data and determining a current life cycle process of each of the digital twins based on the historical dynamic data;
and determining an estimated abnormal time node of the digital twin body according to the current life cycle process, and sending reminding information to the object to be notified based on the estimated abnormal time node.
In a second aspect, an embodiment of the present application provides a digital twin-based water service equipment anomaly early warning device, where the device includes:
the acquisition module is used for acquiring the product data of each water service device and constructing a digital twin body corresponding to each water service device based on the product data;
the updating module is used for establishing a data channel between the water service equipment and the digital twin body, acquiring real-time data of the water service equipment and updating dynamic data of the digital twin body based on the real-time data;
the early warning module is used for determining an algorithm result of the target digital twin body based on the second warning threshold when the target dynamic data reach the first warning threshold and the change trend of the target dynamic data approaches the second warning threshold, sending early warning information to an object to be notified corresponding to the target digital twin body based on the algorithm result, wherein the difference between the first warning threshold and the standard data is smaller than the difference between the second warning threshold and the standard data, and the standard data is an expected value of the target dynamic data.
In a third aspect, an embodiment of the present application provides an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method as provided in the first aspect or any one of the possible implementations of the first aspect when the computer program is executed.
In a fourth aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a method as provided by the first aspect or any one of the possible implementations of the first aspect.
The beneficial effects of the application are as follows: mapping the water service equipment in the real scene in the virtual scene in a digital twinning mode, and carrying out abnormal early warning on the water service equipment by mapping dynamic data of the corresponding digital twinning body. When it is judged that certain dynamic data reach the first warning threshold value and the dynamic data still change to the second warning threshold value, early warning is sent by maintainers and surrounding residents in advance, so that the surrounding residents are prevented from passing through corresponding dangerous areas, the maintainers go to corresponding places for maintenance, abnormality of water service equipment can be timely found and the maintainers are informed of processing, the abnormality early warning and processing efficiency is high, and extra labor cost is not required to be consumed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a digital twin-based water service equipment abnormality early warning method provided by an embodiment of the application;
fig. 2 is a schematic structural diagram of a digital twin-based water service equipment abnormality early warning device according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application.
In the following description, the terms "first," "second," and "first," are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The following description provides various embodiments of the application that may be substituted or combined between different embodiments, and thus the application is also to be considered as embracing all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then the present application should also be considered to include embodiments that include one or more of all other possible combinations including A, B, C, D, although such an embodiment may not be explicitly recited in the following.
The following description provides examples and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the application. Various examples may omit, replace, or add various procedures or components as appropriate. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.
Referring to fig. 1, fig. 1 is a schematic flow chart of a digital twin-based water service equipment abnormality early warning method provided by an embodiment of the application. In an embodiment of the present application, the method includes:
s101, obtaining product data of each water service device, and constructing a digital twin body corresponding to each water service device based on the product data.
The execution subject of the present application may be a cloud server.
The digital twin body is understood in the embodiment of the application to map the water service equipment in the physical world to a data model formed in the digital space in the form of data.
In one embodiment of the present application, each water service device in the real scene may leave archive data when installed, where the archive data may include information about the installation location, the installation model, etc. of the water service device. In addition, sensors are installed on the water service equipment to detect parameter data such as pressure, flow rate and the like. The data can be regarded as the product data of the water service equipment in the application, and the cloud server acquires the product data of each water service equipment and constructs a digital twin corresponding to each water service equipment by taking the product data as a reference.
In one embodiment, step S101 includes:
acquiring product data of each water service device, wherein the product data comprises place data, device data and attribute data;
constructing an attribute type standard library based on the product data, wherein the attribute type standard library comprises static data and dynamic data, the static data comprises the place data and the attribute data, and the dynamic data comprises the equipment data;
and constructing a digital twin corresponding to each water service device according to the attribute category standard library, wherein the digital twin is endowed with the static data and the dynamic data.
In one embodiment of the present application, the product data may be divided into three types of data, namely, venue data, device data, and attribute data, according to categories. The location data refers to location information of houses or structures where water service equipment is located in the real world, such as an industrial park. The equipment data refers to equipment parameter data on specific water service equipment, such as pressure data of a fire hydrant. The attribute data refers to attribute element information of the water service equipment, such as a name, a code, a specification, a model, a manufacturer, a production date and the like. The three types of data can be integrated into three data tables according to the types, and an attribute type standard library is constructed according to the three types of data. The water service equipment can be simply and quickly instantiated through the attribute type standard library, corresponding data information is endowed to the corresponding digital twin body association, and batch quick generation of the digital twin bodies is realized. The digital twin body is mainly endowed with two types of static and dynamic properties, the static data is static physical data of the water service equipment, generally place data and attribute data, and the dynamic data is dynamic data which can change in real time along with time in the water service equipment, generally equipment data.
S102, establishing a data channel of the water service equipment and the digital twin body, and acquiring real-time data of the water service equipment and updating dynamic data of the digital twin body based on the real-time data.
In one embodiment of the application, after the collective batch mapping of all the digital twins is completed rapidly through the product data or the attribute type standard library, the real-time updating of the dynamic data corresponding to the digital twins is required because the equipment data of the water service equipment is changed in real time, so that the digital twins can be mapped to embody the actual situation of the water service equipment. The dynamic data can change continuously, namely a large amount of data can be generated continuously along with time, and if the data is updated by adopting a mode of summarizing the data and redistributing the data, a large burden is caused on the server, and the data processing efficiency is low. In order to improve the data mapping efficiency and reduce the data processing burden of the server, a data channel can be respectively established between each water service device and the digital twin body, and real-time data acquired by a sensor arranged on the water service device is directly transmitted to the digital twin body through the data channel, so that the real-time updating of dynamic data is realized.
S103, when target dynamic data reach a first warning threshold and the change trend of the target dynamic data approaches a second warning threshold, determining an algorithm result of a target digital twin body based on the second warning threshold, and sending early warning information to an object to be notified corresponding to the target digital twin body based on the algorithm result, wherein the difference between the first warning threshold and standard data is smaller than the difference between the second warning threshold and standard data, and the standard data is an expected value of the target dynamic data.
In one embodiment of the present application, the dynamic data includes various types of data, such as pressure, flow, etc., and if any type of data is abnormal, it may cause the water service device to burst. Therefore, the staff can set different first warning thresholds and second warning thresholds for each type of dynamic data according to experience and test data before equipment leaves the factory in advance. The second warning threshold may be set to a critical threshold that may cause a pipe bursting problem for the water service equipment. The first warning threshold value can be set to be a value which is a certain difference from the second warning threshold value, and the value is considered to be abnormal when the dynamic data reaches the first warning threshold value as a safety early warning threshold value, and if the dynamic data is not overhauled in time, a pipe burst can occur at a certain moment in the near future. Specifically, when any dynamic data reaches a first warning threshold corresponding to the type of the dynamic data, the cloud server takes the dynamic data of the type as target dynamic data and monitors the data change trend of the dynamic data. When the change trend shows that the target dynamic data still continues to change to the second warning threshold under the condition that the target dynamic data reaches the safety warning threshold, the water service equipment is more likely to be detonated later. The cloud server determines a corresponding calculation result according to the second warning threshold value, determines an object to be notified, which needs to be notified with early warning, and sends early warning information to the object to be notified. The calculation result may be estimated calculation data of a range that affects the periphery when an abnormal situation such as a tube burst occurs, and may be predicted specifically through a trained CNN convolutional neural network. The object to be notified may include both cell residents in the surrounding area and management/maintenance personnel associated with the water service equipment.
In one embodiment, when the target dynamic data reaches the first alert threshold and the trend of the target dynamic data approaches the second alert threshold, determining the calculation result of the target digital twin body based on the second alert threshold includes:
when target dynamic data reach a first warning threshold value, counting all the target dynamic data in a preset time period, and determining the change trend of the target dynamic data according to each target dynamic data;
and determining the calculation result of the target digital twin body based on a second warning threshold when the change trend represents that the target dynamic data approaches to the second warning threshold.
In one embodiment of the present application, the target dynamic data, because it is changing in real time, may reach the first alert threshold instantaneously in the fluctuation of the change, in which case no pre-warning is needed. Therefore, the cloud server counts all the target dynamic data within a preset time period (for example, 30 s) after detecting that the target dynamic data reaches the first warning threshold value, so as to analyze the change trend of the target dynamic data. If the target dynamic data changes to the value corresponding to the second warning threshold value along with the time increase within the preset duration, the early warning is considered to be needed. At this time, the corresponding calculation result is determined according to the second warning threshold value.
In one embodiment, the determining the calculation result of the target digital twin based on the second warning threshold includes:
determining a data type corresponding to the target dynamic data, and acquiring a preset database corresponding to the data type, wherein the preset database stores a mapping relation between the target dynamic data and the abnormal animation;
inquiring the preset database based on the second warning threshold value to obtain a target abnormal animation, wherein the target abnormal animation is the calculation result of the target digital twin body;
the results of the algorithm are shown at the target digital twin.
In one embodiment of the present application, a very precise pipe explosion estimation range is not required for the present solution, and even if the range is slightly larger than the actual range, no influence is generated. Therefore, in addition to the prediction by using the neural network model, the consideration on the processing efficiency can also be determined by means of database query. Specifically, a preset database can be preset for each data type of dynamic data, and the preset database stores the mapping relation between the target dynamic data and the abnormal animation. In actual conditions, only the database is queried according to the second warning threshold value to obtain the corresponding target abnormal animation, and then the calculation result is obtained. The target abnormal animation can be a section of repeatedly played pipe bursting animation, the pipe bursting animation can intuitively show the effect of pipe bursting in a virtual service scene, and the animation parameters carried by the pipe bursting animation data can also be used for determining the demonstration range of the animation, namely the influence range of the pipe bursting, so that the pipe bursting animation can be directly used as an operation result. Wherein, each abnormal animation in the preset database can be constructed by simulation on 3D software, such as 3D Studio Max.
In addition, although in actual situations, breakage occurs at different positions of the water service equipment, and the explosion range of the tube explosion caused by the breakage may be different, as described in the foregoing, the present application does not need to determine an accurate estimated range, so that when constructing the database, the database is directly constructed by using the abnormal animation that causes the maximum influence range, so as to ensure that the range can cover the influence adapted to all situations, and further ensure the effectiveness and safety of early warning.
In an implementation manner, the sending early warning information to the object to be notified corresponding to the target digital twin body based on the calculation result includes:
determining the coverage range of the calculation result in a virtual service scene, and acquiring a user object in the coverage range;
acquiring a necessary notification object of the target digital twin body, wherein the set of the necessary notification object and the user object is the object to be notified;
and sending early warning information to the object to be notified.
In one embodiment of the present application, the objects to be notified are divided into user objects and necessary notification objects, and the user objects are resident objects in the corresponding area of the coverage area, or all residential area resident objects in the cells covered by the coverage area. The necessary notification object is the corresponding management maintenance personnel in the water service company responsible for managing and maintaining the water service equipment. The aggregate of the two objects is the determined object to be notified. The cloud server can send early warning information to the object to be notified, the early warning information can comprise coverage range, abnormal data of the water service equipment and text information of safety avoidance prompts, so that a user object can know the explosion range of a possible pipe explosion to avoid, the object can be necessarily notified to know what kind of abnormality occurs in the water service equipment at which position, and personnel are arranged to overhaul.
In one embodiment, the method further comprises:
determining an associated digital twin based on the target digital twin, and generating an associated processing list;
and determining an idle maintenance object closest to the coverage area, and sending maintenance information to the idle maintenance object, wherein the maintenance information comprises maintenance reminding information and the associated processing list.
In one embodiment of the application, other digital twins within the coverage area can be determined from the target digital twins and the coverage area, such that the digital twins will act as an associated digital twins. Because the associated digital twin body is in the coverage range, the associated digital twin body is possibly influenced when the pipe explosion occurs, and further the associated pipe explosion occurs, so that when a maintainer closes the water valve for maintaining the water service equipment corresponding to the target digital twin body, the water valve corresponding to the associated digital twin body should be also closed for safety. In order to improve the processing efficiency of maintenance personnel, the cloud server generates an associated processing list, and sends the associated processing list and maintenance reminding information to the nearest idle maintenance object as maintenance information, so that the maintenance object is subjected to maintenance. The maintenance reminding information can comprise the position of the water service equipment, abnormal data corresponding to the target dynamic data, text information reminding the user to go to maintenance and the like.
In one embodiment, the method comprises:
determining a life cycle of each of the digital twins based on the historical data and determining a current life cycle process of each of the digital twins based on the historical dynamic data;
and determining an estimated abnormal time node of the digital twin body according to the current life cycle process, and sending reminding information to the object to be notified based on the estimated abnormal time node.
In one embodiment of the present application, the life cycle of each type of water service device is substantially the same without intervention of external force, and the cloud server may determine the corresponding life cycle according to the historical data of the water service devices, and assign the life cycle to the corresponding digital twin. Then, according to the matching of the historical dynamic data and the life cycle, the current life cycle progress of each digital twin body can be determined, namely, which position of the digital twin body in the life cycle is determined, further, estimated abnormal time nodes where the digital twin body possibly has abnormality are determined according to the rest life cycle parts, and reminding information is sent to an object to be notified in advance at the time nodes, so that the early warning purpose is achieved. The historical data may include dynamic data, operational data, and operational data of the water service equipment that has ended use. The historical dynamic data may comprise dynamic data that has been collected from the water service equipment in use at present. The reminder information may include a reminder text message suggesting a trip to service.
The digital twin-based water service equipment abnormality early warning device provided by the embodiment of the application is described in detail below with reference to fig. 2. It should be noted that, the digital twin-based water service equipment abnormality pre-warning device shown in fig. 2 is used for executing the method of the embodiment shown in fig. 1 of the present application, for convenience of explanation, only the portion relevant to the embodiment of the present application is shown, and specific technical details are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.
Referring to fig. 2, fig. 2 is a schematic structural diagram of an anomaly early warning device for water service equipment based on digital twinning according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
an obtaining module 201, configured to obtain product data of each water service device, and construct a digital twin body corresponding to each water service device based on the product data;
an updating module 202, configured to establish a data channel between the water service device and the digital twin, collect real-time data of the water service device, and update dynamic data of the digital twin based on the real-time data;
the early warning module 203 is configured to determine an operation result of the target digital twin body based on a second warning threshold when the target dynamic data reaches the first warning threshold and the variation trend of the target dynamic data approaches the second warning threshold, and send early warning information to an object to be notified corresponding to the target digital twin body based on the operation result, where a difference between the first warning threshold and standard data is smaller than a difference between the second warning threshold and standard data, and the standard data is an expected value of the target dynamic data.
In one embodiment, the acquisition module 201 includes:
the first acquisition unit is used for acquiring product data of each water service device, wherein the product data comprises place data, device data and attribute data;
a first construction unit configured to construct an attribute category criterion library based on the product data, the attribute category criterion library containing static data including the venue data and attribute data and dynamic data including the device data;
and the second construction unit is used for constructing a digital twin body corresponding to each water service device according to the attribute category standard library, wherein the digital twin body is endowed with the static data and the dynamic data.
In one embodiment, the pre-warning module 203 includes:
the first judging unit is used for counting all the target dynamic data in a preset duration when the target dynamic data reach a first warning threshold value, and determining the change trend of the target dynamic data according to each target dynamic data;
and the second judging unit is used for determining the calculation result of the target digital twin body based on the second warning threshold when the change trend represents that the target dynamic data approaches to the second warning threshold.
In one embodiment, the pre-warning module 203 further comprises:
the second acquisition unit is used for determining the data type corresponding to the target dynamic data, acquiring a preset database corresponding to the data type, and storing the mapping relation between the target dynamic data and the abnormal animation in the preset database;
the query unit is used for querying the preset database based on the second warning threshold value to obtain a target abnormal animation, wherein the target abnormal animation is the calculation result of the target digital twin body;
and the display unit is used for displaying the calculation result at the target digital twin body.
In one embodiment, the pre-warning module 203 further comprises:
a third obtaining unit, configured to determine a coverage area of the calculation result in a virtual service scenario, and obtain a user object in the coverage area;
a fourth obtaining unit, configured to obtain a necessary notification object of the target digital twin, where a set of the necessary notification object and a user object is an object to be notified;
and the sending unit is used for sending the early warning information to the object to be notified.
In one embodiment, the apparatus further comprises:
the association generation module is used for determining an association digital twin body based on the target digital twin body and generating an association processing list;
and the dispatch module is used for determining an idle maintenance object closest to the coverage area and dispatching maintenance information to the idle maintenance object, wherein the maintenance information comprises maintenance reminding information and the associated processing list.
In one embodiment, the apparatus further comprises:
the life cycle determining module is used for determining the life cycle of each digital twin body based on the historical data and determining the current life cycle progress of each digital twin body based on the historical dynamic data;
and the reminding module is used for determining the estimated abnormal time node of the digital twin body according to the current life cycle process and sending reminding information to the object to be notified based on the estimated abnormal time node.
It will be clear to those skilled in the art that the technical solutions of the embodiments of the present application may be implemented by means of software and/or hardware. "Unit" and "module" in this specification refer to software and/or hardware capable of performing a specific function, either alone or in combination with other components, such as Field programmable gate arrays (Field-Programmable Gate Array, FPGAs), integrated circuits (Integrated Circuit, ICs), etc.
The processing units and/or modules of the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.
Referring to fig. 3, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 3, the electronic device 300 may include: at least one central processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a Display screen (Display), a Camera (Camera), and the optional user interface 303 may further include a standard wired interface, and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the central processor 301 may comprise one or more processing cores. The central processor 301 connects the various parts within the overall electronic device 300 using various interfaces and lines, performs various functions of the terminal 300 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the central processor 301 may be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The central processor 301 may integrate one or a combination of several of a central processor (Central Processing Unit, CPU), an image central processor (Graphics Processing Unit, GPU), and a modem, etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the cpu 301 and may be implemented by a single chip.
The memory 305 may include a random access memory (Random Access Memory, RAM) or a Read-only memory (Read-only memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like referred to in the above respective method embodiments. The memory 305 may also optionally be at least one storage device located remotely from the aforementioned central processor 301. As shown in fig. 3, an operating system, a network communication module, a user interface module, and program instructions may be included in the memory 305, which is a type of computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; the central processor 301 may be configured to invoke the digital twin-based water service equipment anomaly early warning application program stored in the memory 305, and specifically perform the following operations:
acquiring product data of each water service device, and constructing a digital twin body corresponding to each water service device based on the product data;
establishing a data channel of the water service equipment and the digital twin body, and acquiring real-time data of the water service equipment and updating dynamic data of the digital twin body based on the real-time data;
when target dynamic data reach a first warning threshold value and the change trend of the target dynamic data approaches a second warning threshold value, determining an algorithm result of a target digital twin body based on the second warning threshold value, and sending early warning information to an object to be notified corresponding to the target digital twin body based on the algorithm result, wherein the difference between the first warning threshold value and standard data is smaller than the difference between the second warning threshold value and the standard data, and the standard data is an expected value of the target dynamic data.
The present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the above method. The computer readable storage medium may include, among other things, any type of disk including floppy disks, optical disks, DVDs, CD-ROMs, micro-drives, and magneto-optical disks, ROM, RAM, EPROM, EEPROM, DRAM, VRAM, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present application is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on this understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a memory, and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be performed by hardware associated with a program that is stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), magnetic or optical disk, and the like.
The foregoing is merely exemplary embodiments of the present disclosure and is not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. The digital twinning-based water service equipment abnormality early warning method is characterized by comprising the following steps of:
acquiring product data of each water service device, and constructing a digital twin body corresponding to each water service device based on the product data;
establishing a data channel of the water service equipment and the digital twin body, and acquiring real-time data of the water service equipment and updating dynamic data of the digital twin body based on the real-time data;
when target dynamic data reach a first warning threshold value and the change trend of the target dynamic data approaches a second warning threshold value, determining an algorithm result of a target digital twin body based on the second warning threshold value, and sending early warning information to an object to be notified corresponding to the target digital twin body based on the algorithm result, wherein the difference between the first warning threshold value and standard data is smaller than the difference between the second warning threshold value and the standard data, and the standard data is an expected value of the target dynamic data.
2. The method of claim 1, wherein the obtaining product data of each water service device and constructing a digital twin corresponding to each water service device based on the product data comprises:
acquiring product data of each water service device, wherein the product data comprises place data, device data and attribute data;
constructing an attribute type standard library based on the product data, wherein the attribute type standard library comprises static data and dynamic data, the static data comprises the place data and the attribute data, and the dynamic data comprises the equipment data;
and constructing a digital twin corresponding to each water service device according to the attribute category standard library, wherein the digital twin is endowed with the static data and the dynamic data.
3. The method of claim 1, wherein determining the calculation result of the target digital twin based on the second alert threshold when there is target dynamic data reaching the first alert threshold and the trend of the target dynamic data approaches the second alert threshold comprises:
when target dynamic data reach a first warning threshold value, counting all the target dynamic data in a preset time period, and determining the change trend of the target dynamic data according to each target dynamic data;
and determining the calculation result of the target digital twin body based on a second warning threshold when the change trend represents that the target dynamic data approaches to the second warning threshold.
4. A method according to any one of claims 1 or 3, wherein said determining the result of the calculation of the target digital twin based on the second alert threshold comprises:
determining a data type corresponding to the target dynamic data, and acquiring a preset database corresponding to the data type, wherein the preset database stores a mapping relation between the target dynamic data and the abnormal animation;
inquiring the preset database based on the second warning threshold value to obtain a target abnormal animation, wherein the target abnormal animation is the calculation result of the target digital twin body;
the results of the algorithm are shown at the target digital twin.
5. The method of claim 1, wherein the sending early warning information to the object to be notified corresponding to the target digital twin based on the calculation result comprises:
determining the coverage range of the calculation result in a virtual service scene, and acquiring a user object in the coverage range;
acquiring a necessary notification object of the target digital twin body, wherein the set of the necessary notification object and the user object is the object to be notified;
and sending early warning information to the object to be notified.
6. The method of claim 5, wherein the method further comprises:
determining an associated digital twin based on the target digital twin, and generating an associated processing list;
and determining an idle maintenance object closest to the coverage area, and sending maintenance information to the idle maintenance object, wherein the maintenance information comprises maintenance reminding information and the associated processing list.
7. The method according to claim 1, characterized in that the method comprises:
determining a life cycle of each of the digital twins based on the historical data and determining a current life cycle process of each of the digital twins based on the historical dynamic data;
and determining an estimated abnormal time node of the digital twin body according to the current life cycle process, and sending reminding information to the object to be notified based on the estimated abnormal time node.
8. Digital twinning-based water service equipment abnormality early warning device is characterized in that the device comprises:
the acquisition module is used for acquiring the product data of each water service device and constructing a digital twin body corresponding to each water service device based on the product data;
the updating module is used for establishing a data channel between the water service equipment and the digital twin body, acquiring real-time data of the water service equipment and updating dynamic data of the digital twin body based on the real-time data;
the early warning module is used for determining an algorithm result of the target digital twin body based on the second warning threshold when the target dynamic data reach the first warning threshold and the change trend of the target dynamic data approaches the second warning threshold, sending early warning information to an object to be notified corresponding to the target digital twin body based on the algorithm result, wherein the difference between the first warning threshold and the standard data is smaller than the difference between the second warning threshold and the standard data, and the standard data is an expected value of the target dynamic data.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any of claims 1-7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116909238A (en) * | 2023-08-29 | 2023-10-20 | 广东青藤环境科技有限公司 | Intelligent water plant integrated management system based on digital twinning |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116909238A (en) * | 2023-08-29 | 2023-10-20 | 广东青藤环境科技有限公司 | Intelligent water plant integrated management system based on digital twinning |
| CN116909238B (en) * | 2023-08-29 | 2024-01-19 | 广东青藤环境科技有限公司 | Intelligent water plant integrated management system based on digital twinning |
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