A method and system for monitoring the environment space of a smart park based on digital twins

Abstract

The present invention discloses a method and system for monitoring the environment space of a smart park based on digital twins, and relates to the technical field of digital twins. The present invention utilizes data information acquisition technology to collect park environment space data in real time, and establishes a digital model based on the park environment space data. An update transmission channel network is set up, and the digital model is digitally mapped through the update transmission channel network based on the digital twin to obtain a park environment space model. The latest park environment data is obtained based on the park environment space model, and the latest park environment data is processed to obtain specific area environment data, and then decision-making park environment data is obtained based on the specific area environment data. A park space decision model is established based on the decision-making park environment data; and then park space decisions are received based on the park space decision model. The present invention effectively improves the intelligent decision-making ability of the model.

Description

Technical Field

[0001] The present invention relates to the field of digital twin technology, and specifically to a method and system for monitoring the environmental space of a smart park based on digital twins. Background Art

[0002] Digital twins make full use of data such as physical models, sensors, and operation histories, integrate multi-disciplinary, multi-physical quantity, multi-scale, and multi-probability simulation processes, and complete mapping in virtual space, thereby reflecting the entire life cycle of the corresponding physical equipment. Digital twins are a concept that transcends reality and can be viewed as a digital mapping system for one or more important, interdependent equipment systems. Digital twins are considered to be the process of digitally defining and modeling the composition, characteristics, functions, and performance of physical entities using information technology. Digital twins refer to information models that are completely equivalent to physical entities and exist in computer virtual space. Physical entities can be simulated, analyzed, and optimized based on digital twins. Digital twins are technologies, processes, and methods. Digital twins are objects, models, and data.

[0003] Digital twins are a universally applicable theoretical and technological system that can be applied in many fields, with particular emphasis on product design, manufacturing, medical analysis, and engineering construction. In China, the most extensive application is in engineering construction, while the field of intelligent manufacturing has garnered the most attention and research.

[0004] Digital twins are widely used in environmental space monitoring of smart parks, such as three-dimensional display of the park's external environment, buildings and internal space structures, supporting comprehensive monitoring of environmental data such as air quality, temperature and humidity, and improving the efficiency of environmental space utilization. However, digital twins may have the following problems when improving environmental space utilization: Problem 1. Data transmission between real space and virtual space cannot be real-time, resulting in inaccurate and delayed environmental space utilization obtained through digital twin technology; Problem 2. At present, most digital twin models of digital twin technology are still based on static display and data analysis, lack active learning and adaptive capabilities, and still rely on manual decision-making or preset rules when providing space utilization optimization suggestions. There is a lack of intelligent decision-making support, resulting in the inability to make decisions in a timely manner. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a method and system for monitoring the environment space of a smart park based on digital twins;

[0006] The purpose of the present invention can be achieved through the following technical solutions: A method for monitoring the environment space of a smart park based on digital twins, the method comprising the following steps:

[0007] Step S1: using data information acquisition technology to collect park environment spatial data in real time, and establishing a digital model based on the park environment spatial data;

[0008] Step S2: Setting up an updated transmission channel network, and digitally mapping the digital model through the updated transmission channel network based on the digital twin to obtain a park environment space model;

[0009] Step S3: obtaining the latest park environment data based on the park environment spatial model, and processing the latest park environment data to obtain specific area environment data, and then obtaining decision park environment data based on the specific area environment data;

[0010] Step S4: establishing a park space decision model based on the decision park environment data;

[0011] Step S5: receiving a park space decision according to the park space decision model.

[0012] Furthermore, the real-time collection process of the park environment spatial data includes:

[0013] The park environment spatial data includes park space data and park environment data; the park space data includes spatial composition data and spatial feature data; the spatial composition data includes spatial shape data, spatial size data, spatial function data and spatial distribution location; the spatial feature data includes geographic location association data and time data {t0+nT}, where t0 represents the initial collection time; T represents the collection cycle; n represents the number of collection cycles, and its value is a positive integer greater than or equal to 0; the park environment data includes temperature and humidity data, air quality data and noise data.

[0014] Furthermore, the process of establishing the digital model includes:

[0015] The park is divided into corresponding specific areas according to different spatial composition data, and each specific area of ​​the park is connected to each other according to the spatial distribution position; the park environment data corresponding to each specific area is collected in real time according to the time data and stored in the corresponding specific area;

[0016] Take any specific area as the center point of the spatial distribution position, obtain the specific areas connected to the center points of the spatial distribution position, and form geographical location association data with the center points of the spatial distribution position, and then establish a digital model.

[0017] Furthermore, the process of setting up the updated transmission channel network includes:

[0018] Setting a data update transmission channel and a status update transmission channel, and setting a data update time sequence and a status update time sequence on the data update transmission channel and the status update transmission channel respectively, and then setting corresponding data transmission time and status transmission time;

[0019] A data update time series is obtained according to the time data and the data transmission time, and a state update time series is obtained according to the data update time series and the state transmission time; and then the data update transmission channel and the state update transmission channel are connected in series to generate an update transmission channel network.

[0020] Furthermore, the process of obtaining the park environment space model includes:

[0021] The digital model is mapped one by one in real time through the data update transmission channel, and the park space model is obtained according to the spatial shape data, spatial size data and spatial distribution position corresponding to each specific area. Then, the park environment data corresponding to each specific area is mapped to the park space model to obtain the park environment space model.

[0022] Furthermore, the process of obtaining the latest park environment data includes:

[0023] According to the initial acquisition time, the park environment data corresponding to each specific area in the digital model is obtained as the first comparison data, and is transmitted to the park environment space model through the data update transmission channel according to the data update time series. Then, according to the time data, the park environment data corresponding to each specific area is obtained for the first time as the second comparison data, and compared with the first comparison data, the changed park environment data is marked, and the corresponding updated park environment data packet is generated, and is transmitted to the park environment space model for reception through the data update transmission channel. Then, the unchanged park environment data in the first comparison data corresponding to the specific area in the park environment space model is extracted, and merged with the updated park environment data packet to generate the latest park environment data;

[0024] Similarly, the park environment data collected in real time according to the time data in each specific area are used as the next comparison data and compared with the previous comparison data to obtain the corresponding updated park environment data packet, which is then transmitted to the park environment space model through the data update transmission channel according to the data update time series to obtain the corresponding latest park environment data and map it with the time data.

[0025] Furthermore, the process of acquiring the decision-making park environment data includes:

[0026] Obtain specific area environmental data corresponding to each specific area based on the latest park environmental data;

[0027] That is, the specific formula is:

[0028]

[0029] Among them, among them, represents air quality data; a represents the error coefficient, and a>1; j represents the number of air quality parameters corresponding to the air quality data, and j=1, 2, ..., m, where m is a positive integer greater than 1; It is represented as the jth air quality parameter and its value is a natural number greater than 0;

[0030]

[0031] in, It represents the environmental data of a specific area; b represents the coefficient, and b>0; w1, w2, w3 and w4 represent the weights corresponding to temperature and humidity data, air quality data and noise data respectively; and Represented as temperature and humidity data and noise data respectively;

[0032] Store the specific area environment data in the corresponding specific area, obtain the spatial composition data corresponding to the specific area, and set the specific area environment data threshold corresponding to the specific area according to the spatial composition data Then compare it with the corresponding characteristic regional environmental data;

[0033] like If the specific area is not properly processed, the corresponding specific area will be marked as a specific area to be processed; otherwise, the corresponding specific area will be marked as a normal specific area;

[0034] Based on the digital model, the specific area to be processed is taken as the center point of the spatial distribution position to obtain the corresponding geographical location association data, and the specific areas to be processed in the geographical location association data are connected in sequence to generate decision-making park environment data.

[0035] Furthermore, the process of obtaining the park space decision model includes:

[0036] Obtain the latest park environment data corresponding to each specific area to be processed in the decision park environment data, and merge them to generate a park geographic location environment data package, and then obtain the mode of the latest park environment data in the park geographic location environment data package, and mark it as the park environment data to be processed;

[0037] Marking the specific area to be processed corresponding to the most park environment data to be processed as the optimal processing specific area, obtaining spatial function data corresponding to the optimal processing specific area, and obtaining the optimal specific area decision corresponding to the optimal processing specific area based on the spatial function data;

[0038] The spatial distribution positions corresponding to each optimal processing specific area are obtained and connected and merged with the corresponding optimal specific area decisions to generate the park space decision, and then the park space decision model is established.

[0039] Furthermore, the receiving process of the park space decision includes:

[0040] A receiving terminal is set up and connected to the park environment space model through a status update transmission channel; the park environment space model is obtained based on real-time mapping of the digital model, the latest park environment data is obtained through the data update transmission channel according to the data update time series and mapped with the time data, and specific area environment data is obtained. The decision-making park environment data is obtained based on the specific area environment data and analyzed to establish a park space decision model, and the park space decision is obtained based on the park space decision model, and then sent to the relevant terminals for real-time notification through the status update transmission channel according to the status update time series.

[0041] Furthermore, the following modules are included:

[0042] Data acquisition module: used to collect park environment spatial data in real time using data information acquisition technology, and to establish a digital model based on the park environment spatial data;

[0043] Digital twin module: used to set up and update the transmission channel network. Based on the digital twin, the digital model is digitally mapped through the updated transmission channel network to obtain the park environment space model.

[0044] Specific area module: used to obtain the latest park environment data based on the park environment spatial model, and process the latest park environment data to obtain specific area environment data, and then obtain decision-making park environment data based on the specific area environment data;

[0045] Decision-making module: used to establish a park space decision-making model based on the decision-making park environment data;

[0046] Receiving module: used to receive park space decisions based on the park space decision model.

[0047] Compared with the existing technology, the beneficial effects of the present invention are: the present invention uses data information acquisition technology to collect park environment space data in real time, and establishes a digital model based on the park environment space data; sets up an update transmission channel network, and digitally maps the digital model through the update transmission channel network based on the digital twin to obtain a park environment space model; and obtains the latest park environment data based on the park environment space model, processes the latest park environment data to obtain specific area environment data, and then obtains decision-making park environment data based on the specific area environment data; establishes a park space decision model based on the decision-making park environment data; and then receives park space decisions based on the park space decision model; the present invention effectively improves the intelligent decision-making ability of the model. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction to the drawings required for use in the embodiments will be given below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0049] Figure 1 Flowchart of the present invention.

[0050] Figure 2 Flowchart for receiving park space decision.

[0051] Figure 3 This is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0052] To make the objectives, technical solutions, and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other implementations obtained by those of ordinary skill in the art without inventive effort are within the scope of protection of the present invention.

[0053] Example 1

[0054] like Figure 1 As shown, a method for monitoring the environment space of a smart park based on digital twins includes the following steps:

[0055] Step S1: using data information acquisition technology to collect park environment spatial data in real time, and establishing a digital model based on the park environment spatial data;

[0056] Step S2: Setting up an updated transmission channel network, and digitally mapping the digital model through the updated transmission channel network based on the digital twin to obtain a park environment space model;

[0057] Step S3: obtaining the latest park environment data based on the park environment spatial model, and processing the latest park environment data to obtain specific area environment data, and then obtaining decision park environment data based on the specific area environment data;

[0058] Step S4: establishing a park space decision model based on the decision park environment data;

[0059] Step S5: receiving a park space decision according to the park space decision model.

[0060] Example 2

[0061] This embodiment further limits the embodiment 1, and the step S1 is implemented by the following process:

[0062] The real-time collection process of the park environment spatial data includes:

[0063] The park environment spatial data includes park spatial data and park environment data; the data information collection technology includes spatial data collection technology and environmental data collection technology, which are used to collect park spatial data and park environment data corresponding to the park respectively;

[0064] The park spatial data includes spatial composition data and spatial feature data; the spatial composition data includes spatial shape data, spatial size data, spatial function data and spatial distribution location; the spatial feature data includes geographical location association data and time data {t0+nT}, where t0 represents the initial collection time; T represents the collection cycle; n represents the number of collection cycles, and its value is a positive integer greater than or equal to 0; the park environmental data includes temperature and humidity data, air quality data and noise data;

[0065] In the above embodiment, it should be further explained that the spatial data acquisition technology includes but is not limited to BIM, 3D GIS and other technologies; the environmental data acquisition technology includes but is not limited to various sensors; further, the spatial composition data includes but is not limited to data collected from equipment, buildings, rivers, plants, etc. in the park; the air quality data includes but is not limited to air quality parameters such as particulate matter concentration and formaldehyde; the spatial function data includes but is not limited to industry, office, entertainment, etc.;

[0066] The process of establishing the digital model includes:

[0067] The park is divided into corresponding specific areas according to different spatial composition data, and each specific area of ​​the park is connected to each other according to the spatial distribution position; the park environment data corresponding to each specific area is collected in real time according to the time data and stored in the corresponding specific area;

[0068] Taking any specific area as the center point of the spatial distribution position, obtaining specific areas connected to the center points of the spatial distribution position, and forming geographic location association data with the center points of the spatial distribution position, thereby establishing a digital model;

[0069] In the above embodiment, it needs to be further explained that the collected park environment spatial data is preferentially associated with the establishment of a digital model of the park to provide a digital foundation for the subsequent digital twin.

[0070] Example 3

[0071] This embodiment further limits the embodiment 1, and the step S2 is implemented by the following process:

[0072] The process of setting up the update transmission channel network includes:

[0073] Setting a data update transmission channel and a status update transmission channel, and setting a data update time sequence and a status update time sequence on the data update transmission channel and the status update transmission channel respectively, and then connecting the data update transmission channel and the status update transmission channel in series to generate an update transmission channel network;

[0074] It should be further explained that, in the specific implementation process, the data update transmission channel is used to update the park environment space data according to the data update time series to obtain the latest park environment data; the status update transmission channel is used to update the park space decision according to the status update time series;

[0075] The process of setting the data update time series and the status update time series includes:

[0076] Set the data transmission time Δt corresponding to the data update transmission channel, and then obtain the data update time sequence {t0+nT+Δt} according to the time data and the data transmission time. Further, set the state transmission time in the state update transmission channel. Then, the status update time series is obtained based on the data update time series and the status transmission time.

[0077] In the above embodiment, it should be further explained that the setting process of the data transmission time and the state transmission time is obtained by machine learning by transmitting a large amount of existing data for training, which will not be described in detail here; it should be further explained that the purpose of setting the data update time series and the state update time series is to improve the accuracy of the data associated with the park environment spatial data;

[0078] The process of obtaining the park environment space model includes:

[0079] The digital model is mapped one by one in real time through the data update transmission channel, and the park space model is obtained according to the spatial shape data, spatial size data and spatial distribution position corresponding to each specific area. Then, the park environment data corresponding to each specific area is mapped to the park space model to obtain the park environment space model.

[0080] Example 4

[0081] This embodiment further limits the embodiment 1, and the step S3 is implemented by the following process:

[0082] The process of obtaining the latest park environment data includes:

[0083] According to the initial acquisition time, the park environment data corresponding to each specific area in the digital model is obtained as the first comparison data, and is transmitted to the park environment space model through the data update transmission channel according to the data update time series. Then, according to the time data, the park environment data corresponding to each specific area is obtained for the first time as the second comparison data, and compared with the first comparison data, the changed park environment data is marked, and the corresponding updated park environment data packet is generated, and is transmitted to the park environment space model for reception through the data update transmission channel. Then, the unchanged park environment data in the first comparison data corresponding to the specific area in the park environment space model is extracted, and merged with the updated park environment data packet to generate the latest park environment data;

[0084] Similarly, the park environment data obtained in each specific area according to the time data is used as the next comparison data and compared with the previous comparison data to obtain the corresponding updated park environment data packet. Then, according to the data update time series, it is transmitted to the park environment space model through the data update transmission channel to obtain the corresponding latest park environment data and map it with the time data.

[0085] In the above embodiment, it is necessary to further explain that the transmission method reduces repeated transmission of the same data, increases the transmission channel space, and thus improves the transmission efficiency and data transmission quality;

[0086] The process of obtaining the specific area environmental data includes:

[0087] Obtain specific area environmental data corresponding to each specific area based on the latest park environmental data;

[0088] That is, the specific formula is:

[0089]

[0090] in, represents air quality data; a represents the error coefficient, and a>1; j represents the number of air quality parameters corresponding to the air quality data, and j=1, 2, ..., m, where m is a positive integer greater than 1; It is represented as the jth air quality parameter and its value is a natural number greater than 0;

[0091]

[0092] in, It represents the environmental data of a specific area; b represents the coefficient, and b>0; w1, w2, w3 and w4 represent the weights corresponding to temperature and humidity data, air quality data and noise data respectively; and Represented as temperature and humidity data and noise data respectively;

[0093] The process of acquiring the decision-making park environment data includes:

[0094] Store the specific area environment data in the corresponding specific area, obtain the spatial composition data corresponding to the specific area, and set the specific area environment data threshold corresponding to the specific area according to the spatial composition data Then compare it with the corresponding characteristic regional environmental data;

[0095] like If the specific area is not properly processed, the corresponding specific area will be marked as a specific area to be processed; otherwise, the corresponding specific area will be marked as a normal specific area;

[0096] Based on the digital model, the specific area to be processed is taken as the center point of the spatial distribution position to obtain the corresponding geographical location association data, and the specific areas to be processed in the geographical location association data are sequentially connected to generate decision-making park environment data;

[0097] Example 5

[0098] This embodiment further limits the embodiment 1, and the step S4 is implemented by the following process:

[0099] The process of obtaining the park space decision model includes:

[0100] Obtain the latest park environment data corresponding to each specific area to be processed in the decision park environment data, and merge them to generate a park geographic location environment data package, and then obtain the mode of the latest park environment data in the park geographic location environment data package, and mark it as the park environment data to be processed;

[0101] Mark the specific area to be processed corresponding to the most park environment data to be processed as the optimal processing specific area, obtain the spatial function data corresponding to the optimal processing specific area, and then obtain the optimal specific area decision corresponding to the optimal processing specific area based on the spatial function data; then obtain the spatial distribution position corresponding to each optimal processing specific area and connect and merge them with the corresponding optimal specific area decision to generate a park spatial decision, and then establish a park spatial decision model;

[0102] In the above embodiment, it needs to be further explained that the park environment data to be processed has a certain connection with the spatial function data. For example, the spatial function data is industry, which in turn produces a large amount of particulate matter, which in turn causes the geographic location environment data to produce a large amount of particulate matter, so it is necessary to implement a decision on industry.

[0103] Example 6

[0104] like Figure 2 As shown, this embodiment is a further limitation of embodiment 1, and step S5 is implemented by the following process:

[0105] The receiving process of the park space decision includes:

[0106] A receiving terminal is set up and connected to the park environment space model through a status update transmission channel; mapping is implemented based on the digital model to obtain the park environment space model, the latest park environment data is obtained through the data update transmission channel according to the data update time series and mapped with the time data, the specific area environment data is obtained, the decision-making park environment data is obtained based on the specific area environment data and the park space decision model is established through analysis, the park space decision is obtained based on the park space decision model, and then sent to the relevant terminals for real-time notification through the status update transmission channel according to the status update time series.

[0107] Example 7

[0108] like Figure 3 As shown, the present invention also discloses a smart park environment space monitoring system based on digital twins, which includes the following modules:

[0109] Data acquisition module: used to collect park environment spatial data in real time using data information acquisition technology, and to establish a digital model based on the park environment spatial data;

[0110] Digital twin module: used to set up and update the transmission channel network. Based on the digital twin, the digital model is digitally mapped through the updated transmission channel network to obtain the park environment space model.

[0111] Specific area module: used to obtain the latest park environment data based on the park environment spatial model, and process the latest park environment data to obtain specific area environment data, and then obtain decision-making park environment data based on the specific area environment data;

[0112] Decision-making module: used to establish a park space decision-making model based on the decision-making park environment data;

[0113] Receiving module: used to receive park space decisions based on the park space decision model.

[0114] The features and exemplary embodiments of various aspects of the present application are described in detail above. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail in combination with the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The above description of the embodiments is merely to provide a better understanding of the present application by showing examples of the present application.

[0115] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for monitoring the environment space of a smart park based on digital twins, characterized in that: The method comprises the following steps: Step S1: using data information acquisition technology to collect park environment spatial data in real time, and establishing a digital model based on the park environment spatial data; Step S2: Setting up an updated transmission channel network, and digitally mapping the digital model through the updated transmission channel network based on the digital twin to obtain a park environment space model; Step S3: obtaining the latest park environment data based on the park environment spatial model, and processing the latest park environment data to obtain specific area environment data, and then obtaining decision park environment data based on the specific area environment data; Step S4: establishing a park space decision model based on the decision park environment data; Step S5: receiving a park space decision according to the park space decision model; The process of obtaining the latest park environment data includes: According to the initial acquisition time, the park environment data corresponding to each specific area in the digital model is obtained as the first comparison data, and is transmitted to the park environment space model through the data update transmission channel according to the data update time series. Then, according to the time data, the park environment data corresponding to each specific area is obtained for the first time as the second comparison data, and compared with the first comparison data, the changed park environment data is marked, and the corresponding updated park environment data packet is generated, and is transmitted to the park environment space model for reception through the data update transmission channel. Then, the unchanged park environment data in the first comparison data corresponding to the specific area in the park environment space model is extracted, and merged with the updated park environment data packet to generate the latest park environment data; Similarly, the park environment data collected in real time according to the time data in each specific area is used as the next comparison data, and compared with the previous comparison data to obtain the corresponding updated park environment data packet. Then, according to the data update time series, it is transmitted to the park environment space model through the data update transmission channel to obtain the corresponding latest park environment data and map it with the time data. The process of acquiring the decision-making park environment data includes: Obtain specific area environmental data corresponding to each specific area based on the latest park environmental data; That is, the specific formula is: ； Among them, among them, represents air quality data; a represents the error coefficient, and a>1; j represents the number of air quality parameters corresponding to the air quality data, and j=1, 2, ..., m, where m is a positive integer greater than 1; It is represented as the jth air quality parameter and its value is a natural number greater than 0; ； in, It represents the environmental data of a specific area; b represents the coefficient, and b>0; w1, w2, w3 and w4 represent the weights corresponding to temperature and humidity data, air quality data and noise data respectively; 、 and Represented as temperature and humidity data and noise data respectively; Store the specific area environment data in the corresponding specific area, obtain the spatial composition data corresponding to the specific area, and set the specific area environment data threshold corresponding to the specific area according to the spatial composition data , and then compared with the corresponding characteristic regional environmental data; like , then the corresponding specific area is marked as a specific area to be processed; otherwise, the corresponding specific area is marked as a normal specific area; Based on the digital model, the specific area to be processed is taken as the center point of the spatial distribution position to obtain the corresponding geographical location association data, and the specific areas to be processed in the geographical location association data are connected in sequence to generate decision-making park environment data.

2. A method for monitoring smart park environment space based on digital twins according to claim 1, characterized in that: The real-time collection process of the park environment spatial data includes: The park environment spatial data includes park space data and park environment data; the park space data includes space composition data and space feature data; the space composition data includes space shape data, space size data, space function data and space distribution location; the space feature data includes geographical location association data and time data , where t0 represents the initial collection time; T represents the collection period; n represents the number of collection periods, and its value is a positive integer greater than or equal to 0; the park environment data includes temperature and humidity data, air quality data, and noise data.

3. The method for monitoring the environment space of a smart park based on digital twins according to claim 2 is characterized in that: The process of establishing the digital model includes: The park is divided into corresponding specific areas according to different spatial composition data, and each specific area of ​​the park is connected to each other according to the spatial distribution position; the park environment data corresponding to each specific area is collected in real time according to the time data and stored in the corresponding specific area; Take any specific area as the center point of the spatial distribution position, obtain the specific areas connected to the center points of the spatial distribution position, and form geographical location association data with the center points of the spatial distribution position, and then establish a digital model.

4. The method for monitoring the environment space of a smart park based on digital twins according to claim 3 is characterized in that: The process of setting up the update transmission channel network includes: Setting a data update transmission channel and a status update transmission channel, and setting a data update time sequence and a status update time sequence on the data update transmission channel and the status update transmission channel respectively, and then setting corresponding data transmission time and status transmission time; A data update time series is obtained according to the time data and the data transmission time, and a state update time series is obtained according to the data update time series and the state transmission time; and then the data update transmission channel and the state update transmission channel are connected in series to generate an update transmission channel network.

5. The method for monitoring the environment space of a smart park based on digital twins according to claim 4 is characterized in that: The process of obtaining the park environment space model includes: The digital model is mapped one by one in real time through the data update transmission channel, and the park space model is obtained according to the spatial shape data, spatial size data and spatial distribution position corresponding to each specific area. Then, the park environment data corresponding to each specific area is mapped to the park space model to obtain the park environment space model.

6. The method for monitoring the environment space of a smart park based on digital twins according to claim 1 is characterized in that: The process of obtaining the park space decision model includes: Obtain the latest park environment data corresponding to each specific area to be processed in the decision park environment data, and merge them to generate a park geographic location environment data package, and then obtain the mode of the latest park environment data in the park geographic location environment data package, and mark it as the park environment data to be processed; Marking the specific area to be processed corresponding to the most park environment data to be processed as the optimal processing specific area, obtaining spatial function data corresponding to the optimal processing specific area, and obtaining the optimal specific area decision corresponding to the optimal processing specific area based on the spatial function data; The spatial distribution positions corresponding to each optimal processing specific area are obtained and connected and merged with the corresponding optimal specific area decisions to generate the park space decision, and then the park space decision model is established.

7. The method for monitoring the environment space of a smart park based on digital twins according to claim 1 is characterized in that: The receiving process of the park space decision includes: A receiving terminal is set up and connected to the park environment space model through a status update transmission channel; the park environment space model is obtained based on real-time mapping of the digital model, the latest park environment data is obtained through the data update transmission channel according to the data update time series and mapped with the time data, and specific area environment data is obtained. The decision-making park environment data is obtained based on the specific area environment data and analyzed to establish a park space decision model, and the park space decision is obtained based on the park space decision model, and then sent to the relevant terminals for real-time notification through the status update transmission channel according to the status update time series.

8. A digital twin-based smart park environment space monitoring system, applied to a digital twin-based smart park environment space monitoring method according to any one of claims 1 to 7, characterized in that: Includes the following modules: Data acquisition module: used to collect park environment spatial data in real time using data information acquisition technology, and to establish a digital model based on the park environment spatial data; Digital twin module: used to set up and update the transmission channel network. Based on the digital twin, the digital model is digitally mapped through the updated transmission channel network to obtain the park environment space model. Specific area module: used to obtain the latest park environment data based on the park environment spatial model, and process the latest park environment data to obtain specific area environment data, and then obtain decision-making park environment data based on the specific area environment data; Decision-making module: used to establish a park space decision-making model based on the decision-making park environment data; Receiving module: used to receive park space decisions based on the park space decision model.

Images