CN113420068A - Big data-based intelligent garden management method, system and terminal - Google Patents
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Abstract
The application relates to the technical field of management of internet of things, in particular to a smart garden management method, a system and a terminal based on big data, aiming at solving the defect that information in different fields or channels is difficult to intercommunicate when information management is carried out on garden greening in the prior art, so that a reference result has limitation, and the technical scheme is the smart garden management method based on the big data, and comprises the following steps: periodically acquiring landscaping data; carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format; acquiring geographical information of the garden, and endowing the standard garden data with spatial attributes; the method comprises the steps of fusing standard garden data with garden geographic information to obtain a garden comprehensive data platform; carry out afforestation management based on data platform is synthesized in gardens, the cooperation nature between the different source information when this application has the information-based management of reinforcing afforestation, and then improves the effect of gardens management achievement.
Description
Technical Field
The application relates to the technical field of management of the Internet of things, in particular to a smart garden management method, a smart garden management system and a smart garden management terminal based on big data.
Background
In recent years, with the progress of urbanization and the development of economy, people pay more attention to the improvement of living environment, the quantity, area and density of various greenbelts in cities are expanded, the landscaping space in cities is increased, and landscaping becomes an important component of urban environment. Landscaping is an important public product and also an important public space for education, entertainment and social activities.
Along with the continuous expansion of landscaping scale, landscaping complexity is continuously increased, and landscaping management difficulty is also gradually increased. On one hand, the increasing scale increases the workload of traditional statistical management of landscaping; on the other hand, a more complex nutrition management system is required to be introduced in the large-scale maintenance management work of landscaping, and the difficulty of landscaping maintenance management is increased.
At present, the technology of the internet of things is introduced into garden management to carry out intelligent and informationized management, after landscaping coverage areas are detected through detection equipment related to the internet of things in the management process, detection information is collected, and a management plan of the landscaping areas is formulated based on analysis of the detection information.
In view of the above-mentioned related technologies, the inventor believes that there is a defect that when performing information management on landscaping, information of different fields or channels is difficult to communicate with each other, so that the reference result has limitations.
Disclosure of Invention
In order to enhance the collaboration among different source information during landscaping information management, improve the comprehensiveness of garden information during use and further improve the effect of garden management, the application provides a smart garden management method, a smart garden management system and a smart garden management terminal based on big data.
In a first aspect, the application provides a smart garden management method based on big data, which adopts the following technical scheme:
a smart garden management method based on big data comprises the following steps:
periodically acquiring landscaping data related to landscaping management, wherein the landscaping data comprises different types of detection data of various fields related to landscaping management;
carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format;
acquiring garden geographic information of a garden coverage area, and endowing standard garden data with spatial attributes based on the garden geographic information;
based on the spatial attributes of the standard garden data, fusing the standard garden data and the garden geographic information to obtain a garden comprehensive data platform based on the garden geographic information;
landscaping management is performed based on the comprehensive data platform for the garden.
By adopting the technical scheme, the garden greening data related to garden management is periodically acquired, the method for managing the garden through actually detected data adjustment is facilitated, the fitting degree of the garden management method and the garden actual situation is improved, format conversion is carried out on different types of different sources, data fusion is conveniently carried out among the data of different sources, information barriers among the data of different sources are broken, the data of different sources are mutually referred, and the cooperation among the garden greening data is enhanced; construct whole afforestation data into gardens comprehensive data platform after handling, help strengthening the practicality of the afforestation data that detect, improve garden management's efficiency.
Optionally, the periodically acquiring landscaping data related to landscaping management, where the landscaping data includes different types of detection data of various fields related to landscaping management, and then further includes:
and detecting the landscaping data, and deleting abnormal data in the landscaping data.
Through adopting above-mentioned technical scheme, delete the abnormal data in the afforestation data, help reducing the data bulk that the data processing in-process need be handled, and then improve the treatment effeciency of afforestation data.
Optionally, the periodically acquiring landscaping data related to landscaping management, where the landscaping data includes different types of detection data of various fields related to landscaping management, and then further includes:
acquiring historical data of different types of detection data, and dynamically analyzing the historical data to acquire evolution characteristics of the different types of detection data;
historical analysis data corresponding to different detection data are generated based on the evolution characteristics, and the historical analysis data are added into the landscaping data.
By adopting the technical scheme, the dynamic characteristics of the dynamic change of the landscaping data are counted, the application range of the landscaping data is favorably enlarged, and the possibility that the detection data at a certain moment can not be used as reference when certain detection data continuously changes is conveniently reduced.
Optionally, the format conversion of the landscaping data is performed according to a unified standard, so as to obtain standard garden data with a unified format, including:
performing geometric calibration on the landscaping data based on a preset standard reference object to obtain secondary standard garden data;
and extracting different types of geometric features contained in the secondary standard garden data, and performing format conversion on the secondary standard garden data based on a preset standard to obtain the standard garden data.
By adopting the technical scheme, the landscaping data is geometrically calibrated from the geometric dimension, so that the geometric errors occurring in the landscaping data acquisition process are reduced, the accuracy of the data is further enhanced, and the possibility of errors of the data application result caused by the data errors in the data application process is reduced; and format conversion is carried out on the data according to the same standard, thereby being beneficial to realizing intercommunication and interoperability among data in different fields and enhancing the relevance among the data.
Optionally, the landscaping management based on the comprehensive data platform for gardens includes:
extracting common features of data in the garden comprehensive data platform, and developing garden management application based on the common features;
and landscaping management is performed through the garden management application.
By adopting the technical scheme, the garden management application is developed based on common characteristics, the application range of the garden management application is improved, and meanwhile, the use efficiency of the garden comprehensive data platform is enhanced.
Optionally, the landscaping management based on the comprehensive data platform for gardens includes:
when a certain type of detection data is missing in the landscaping management process, acquiring historical analysis data of the missing detection data;
generating simulated detection data based on the historical analysis data;
and (3) using the simulation detection data to perform landscaping management.
By adopting the technical scheme, under the condition that the detection data are missing, the current condition of the detection data is calculated according to the historical analysis data of the missing detection data, so that the simulated detection data is obtained, and the accuracy of garden management decision is improved while the stability of intelligent garden management is maintained.
Optionally, the application of performing landscaping management by using the simulation detection data further includes:
and when the supplementary detection data of the missing detection data is acquired again, replacing the simulated detection data with the supplementary detection data to carry out landscaping management.
By adopting the technical scheme, after missing landscaping data is supplemented, actual detection data is used for replacing simulation detection data, and a decision of garden management is adjusted according to the replaced actual detection data, so that the decision flexibility of the garden management system is improved.
The second aspect, this application provides an wisdom gardens management system, adopts following technical scheme:
a smart garden management system comprises a plurality of distributed garden data detection devices deployed in a garden coverage area to be managed, a data processing device and a garden management application device, wherein the data processing device is used for processing garden data;
the garden data detection device is used for: periodically acquiring landscaping data related to landscaping management, wherein the landscaping data comprises different types of detection data of various fields related to landscaping management;
the data processing device is configured to: carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format, obtaining garden geographic information of a garden coverage area, and endowing the standard garden data with a spatial attribute based on the garden geographic information;
the garden management application device is configured to: and based on the spatial attribute of the standard garden data, fusing the standard garden data and the garden geographic information to obtain a garden comprehensive data platform based on the garden geographic information, and performing landscaping management based on the garden comprehensive data platform.
By adopting the technical scheme, the garden greening data related to garden management is periodically acquired, the method for managing the garden through actually detected data adjustment is facilitated, the fitting degree of the garden management method and the garden actual situation is improved, format conversion is carried out on different types of different sources, data fusion is conveniently carried out among the data of different sources, information barriers among the data of different sources are broken, the data of different sources are mutually referred, and the cooperation among the garden greening data is enhanced; construct whole afforestation data into gardens comprehensive data platform after handling, help strengthening the practicality of the afforestation data that detect, improve garden management's efficiency.
The third aspect, this application provides an wisdom gardens management terminal, adopts following technical scheme:
a smart garden management terminal comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, code set or instruction set, and the at least one instruction, the at least one program, the code set or instruction set is loaded and executed by the processor to implement the big data based smart garden management method according to any one of claims 1 to 7.
By adopting the technical scheme, the processor in the intelligent garden management terminal can realize the intelligent garden management method based on big data according to the related computer program stored in the memory, so that the cooperation among different source information in the garden greening informatization management process is enhanced, the comprehensiveness of garden information in use is improved, and the garden management effect is improved.
In a fourth aspect, the present application provides a storage medium, which adopts the following technical solutions:
a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the big data based intelligent garden management method according to any one of claims 1 to 7.
By adopting the technical scheme, corresponding programs can be stored, so that the collaboration among different source information in the process of landscaping information management is enhanced, the comprehensiveness of garden information in use is improved, and the effect of garden management is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the garden greening data related to garden management are periodically acquired, the method for garden management through actually detected data adjustment is facilitated, the fitting degree of the garden management method and the garden actual situation is improved, format conversion is performed on different types of different sources, data fusion is performed among the data of different sources, information barriers among the data of different sources are facilitated to be broken, the data of different sources are mutually referred, and the cooperation among the garden greening data is further enhanced; all landscaping data are processed to construct a comprehensive data platform for landscaping, which is beneficial to enhancing the practicability of the detected landscaping data and improving the efficiency of garden management;
2. the dynamic characteristics of the dynamic landscaping data change are counted, the application range of the landscaping data is favorably enlarged, and the possibility that the detection data at a certain moment cannot be used as reference when certain detection data continuously change is reduced;
3. the landscaping data is geometrically calibrated from the geometric dimension, so that the geometric error generated in the landscaping data acquisition process is reduced, the accuracy of the data is further enhanced, and the possibility of error of the data application result caused by the data error in the data application process is reduced; and format conversion is carried out on the data according to the same standard, thereby being beneficial to realizing intercommunication and interoperability among data in different fields and enhancing the relevance among the data.
Drawings
Fig. 1 is a schematic structural diagram of a frame of a big data-based intelligent garden management system shown in an embodiment of the present application;
fig. 2 is a flowchart illustrating a method of intelligent garden management based on big data in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, the present application is further described in detail below with reference to the accompanying drawings.
The embodiment of the application provides a smart garden management method based on big data, the method can be applied to a smart garden management system with a distributed architecture, an execution main body can be garden management application equipment in the smart garden management system, and the garden management application equipment and the garden management data processing equipment in the smart garden management system are used for assisting realization. The frame structure of the intelligent garden management system can be as shown in fig. 1. Wherein, can have the gardens data check out test set that a large amount of distributing types were arranged among the wisdom gardens management system, gardens data check out test set can divide and belong to different types, and each kind gardens data check out test set is used for detecting the afforestation data of the different fields relevant with afforestation, and every gardens data check out test set is used for collecting and carrying the specific afforestation data in the area of the gardens that it belongs to. Particularly, landscaping data in a landscaping coverage area is detected and collected by landscaping data detection equipment, then the landscaping data detection equipment can convey the respectively detected landscaping data of different types to data processing equipment, the data processing equipment processes the data after receiving the data, and the processed data are forwarded to garden management application equipment. The garden management application device is used for carrying out centralized storage and management on the received data, is mainly used for summarizing garden greening data detected by each garden data detection device in the embodiment, and assists garden management according to the garden greening data.
The process flow shown in fig. 2 will be described in detail below with reference to specific embodiments, and the contents may be as follows:
step 201, landscaping data related to garden management is periodically acquired.
Wherein, landscaping data includes different types of detection data for various fields related to landscaping management, such as: plant data, animal data, environmental data, pest control data, ecological engineering data, and the like.
In implementation, the operator of landscaping will also send the collected landscaping data to the data processing device during the operation management process of the garden, and the data processing device can process and forward the landscaping data to the landscaping management application device after receiving the landscaping data. Meanwhile, the landscaping data detection equipment detects and records the landscaping data in the respective landscaping areas.
In this way, the garden management application device may periodically acquire the landscaping data, and the period of acquiring the landscaping data may be set according to the type of the acquired data, specifically, according to the change frequency of different types of landscaping data, for example, twelve hours, one day, one week, fifteen days, or one month. In addition, the operation management side of afforestation can be after the afforestation data change in the afforestation region of its operation, initiatively upload the afforestation data after changing to the gardens management application equipment, and then gardens management application equipment can be regularly with afforestation operation management side's data integration, has maintained the real-time of afforestation data.
Optionally, in the process of actually acquiring the landscaping data, due to data distortion caused by data transmission and abnormality occurring during data detection, abnormal data is easily caused in the landscaping data, and accordingly, the following processing may be performed after step 201: and detecting the landscaping data, and deleting abnormal data in the landscaping data.
In implementation, after the landscaping data is acquired, comparing the landscaping data of each category in each category, calculating the difference value between the detection data and the average value, if the difference value exceeds a preset threshold value, marking the compared data as abnormal data, and deleting the abnormal data.
Optionally, the landscaping data collected in the data processing device shows data triggered at each detection point detected by the landscaping data detection device, but in practical analysis application, data of a single detection point may be difficult to provide reference for the analysis function, so accordingly, the following processing may be performed after step 201: acquiring historical data of different types of detection data, and dynamically analyzing the historical data to acquire evolution characteristics of the different types of detection data; historical analysis data corresponding to different detection data are generated based on the evolution characteristics, and the historical analysis data are added into the landscaping data.
And 202, carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format.
In implementation, after the data processing device obtains the landscaping data of each field, the data processing device may perform format conversion on the landscaping data according to a uniform format standard according to information types included in the landscaping data of each field, so as to obtain standard landscaping data of different fields with the same data format. The unified format standard may be a unit standard established by referring to an international unit system, or may be a unit standard established by a garden operation manager.
In an implementation, the format conversion step comprises: performing geometric calibration on the landscaping data based on a preset standard reference object to obtain secondary standard garden data;
and extracting different types of geometric features contained in the secondary standard garden data, and performing format conversion on the secondary standard garden data based on a preset standard to obtain the standard garden data.
And 203, acquiring the geographical garden information of the garden coverage area, and endowing the standard garden data with spatial attributes based on the geographical garden information.
In implementation, the data processing device unifies the landscaping data format, and after the standard garden data is obtained, the standard garden data needs to be further processed, which specifically comprises the following steps: the data processing equipment also needs to acquire garden geographic information uploaded by a garden operation manager, the garden geographic information can be integrated with the geographic spatial information in the garden greening coverage area by using a modern computer technology, a network technology, a big data technology, a sensing technology, a remote sensing technology and the like on the basis of the spatial geographic information, and the integrated geographic spatial information can be displayed in an electronic map form, so that the geographic spatial information in the garden coverage area can be visually displayed.
Furthermore, after the data processing equipment integrates and processes the garden geographic information, the standard garden data with the converted format is further processed, so that the standard garden data can be matched with the garden geographic information. The standard garden data are further processed, specifically, coordinate information related to geographic space in the standard garden data is extracted, and the standard garden data are endowed with spatial attributes based on the coordinate information. The coordinate information may be absolute coordinate information according to international standards, but standard garden data having an absolute coordinate position that is true inevitably exists, and therefore, alternatively, relative coordinate information of a relative reference position obtained by comparison with another reference may be used.
And 204, fusing the standard garden data and the garden geographic information based on the spatial attributes of the standard garden data to obtain a garden comprehensive data platform based on the garden geographic information.
In implementation, the garden management application device receives the standard garden data and the garden geographic information processed by the data processing device, at this time, a spatial attribute is added to the standard garden data, and based on the existing spatial attribute of the standard garden data, the standard garden data of different categories are aligned on the electronic map presented by the garden geographic information, so as to further associate the standard garden data of different categories.
And storing the aligned standard garden data together based on the garden geographic information to obtain a garden comprehensive data platform.
And step 205, carrying out garden greening management based on the garden comprehensive data platform.
In implementation, the garden management application device stores a garden comprehensive data platform comprising garden geographic information and standard garden data, so that the garden management application device extracts common features contained in the standard garden data by using an actual application mode of the data based on the stored data, and develops garden management application suitable for analyzing data in different fields and actually solving problems based on the common features.
Optionally, during the process of solving the problem by applying the standard garden data to the garden management application device, the possibility of data missing may occur, and accordingly, the following processes may be performed after step 205: when a certain type of detection data is missing in the landscaping management process, acquiring historical analysis data of the missing detection data; generating simulated detection data based on the historical analysis data; and (3) using the simulation detection data to perform landscaping management.
Alternatively, after the garden data detection device is repaired or replaced, the garden greening data is detected again, so that the following process can be performed after step 205: and when the supplementary detection data of the missing detection data is acquired again, replacing the simulated detection data with the supplementary detection data to carry out landscaping management.
Based on the same technical concept, the embodiment of the application also provides a smart garden management system, wherein the smart garden management system comprises a plurality of distributed garden data detection devices deployed in a garden coverage area to be managed, a data processing device and a garden management application device, wherein the data processing device is used for processing the garden data;
the garden data detection device is used for: periodically acquiring landscaping data related to landscaping management, wherein the landscaping data comprises different types of detection data of various fields related to landscaping management;
the data processing device is configured to: carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format, obtaining garden geographic information of a garden coverage area, and endowing the standard garden data with a spatial attribute based on the garden geographic information;
the garden management application device is configured to: and based on the spatial attribute of the standard garden data, fusing the standard garden data and the garden geographic information to obtain a garden comprehensive data platform based on the garden geographic information, and performing landscaping management based on the garden comprehensive data platform.
The embodiment of the application further discloses an intelligent terminal, which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the intelligent garden management method based on big data.
An embodiment of the present application further discloses a computer-readable storage medium, which stores a computer program that can be loaded by a processor and execute a big data-based intelligent garden management method as described above, and the computer-readable storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A smart garden management method based on big data is characterized by comprising the following steps:
periodically acquiring landscaping data related to landscaping management, wherein the landscaping data comprises different types of detection data of various fields related to landscaping management;
carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format;
acquiring garden geographic information of a garden coverage area, and endowing standard garden data with spatial attributes based on the garden geographic information;
based on the spatial attributes of the standard garden data, fusing the standard garden data and the garden geographic information to obtain a garden comprehensive data platform based on the garden geographic information;
landscaping management is performed based on the comprehensive data platform for the garden.
2. The intelligent garden management method based on big data as claimed in claim 1, wherein the regular acquisition of landscaping data related to landscaping management comprises different types of detection data of various fields related to landscaping management, and then further comprises:
and detecting the landscaping data, and deleting abnormal data in the landscaping data.
3. The intelligent garden management method based on big data as claimed in claim 1, wherein the regular acquisition of landscaping data related to landscaping management comprises different types of detection data of various fields related to landscaping management, and then further comprises:
acquiring historical data of different types of detection data, and dynamically analyzing the historical data to acquire evolution characteristics of the different types of detection data;
historical analysis data corresponding to different detection data are generated based on the evolution characteristics, and the historical analysis data are added into the landscaping data.
4. The intelligent garden management method based on big data as claimed in claim 1, wherein the format conversion of the garden greening data according to a unified standard to obtain the standard garden data with a unified format comprises:
performing geometric calibration on the landscaping data based on a preset standard reference object to obtain secondary standard garden data;
and extracting different types of geometric features contained in the secondary standard garden data, and performing format conversion on the secondary standard garden data based on a preset standard to obtain the standard garden data.
5. The intelligent garden management method based on big data as claimed in claim 1, wherein the garden comprehensive data platform based garden greening management comprises:
extracting common features of data in the garden comprehensive data platform, and developing garden management application based on the common features;
and landscaping management is performed through the garden management application.
6. The intelligent garden management method based on big data as claimed in claim 3, wherein the garden comprehensive data platform based garden greening management comprises:
when a certain type of detection data is missing in the landscaping management process, acquiring historical analysis data of the missing detection data;
generating simulated detection data based on the historical analysis data;
and (3) using the simulation detection data to perform landscaping management.
7. The intelligent garden management method based on big data as claimed in claim 6, wherein the application of landscaping management using the simulated detection data further comprises:
and when the supplementary detection data of the missing detection data is acquired again, replacing the simulated detection data with the supplementary detection data to carry out landscaping management.
8. The intelligent garden management system is characterized by comprising a plurality of garden data detection devices which are distributed in a garden coverage area to be managed, a data processing device and a garden management application device, wherein the data processing device is connected with the garden data detection devices;
the garden data detection device is used for: periodically acquiring landscaping data related to landscaping management, wherein the landscaping data comprises different types of detection data of various fields related to landscaping management;
the data processing device is configured to: carrying out format conversion on the landscaping data according to a unified standard to obtain standard garden data with a unified format, obtaining garden geographic information of a garden coverage area, and endowing the standard garden data with a spatial attribute based on the garden geographic information;
the garden management application device is configured to: and based on the spatial attribute of the standard garden data, fusing the standard garden data and the garden geographic information to obtain a garden comprehensive data platform based on the garden geographic information, and performing landscaping management based on the garden comprehensive data platform.
9. The utility model provides a wisdom gardens management terminal which characterized in that: the intelligent garden management terminal comprises a processor and a memory, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to realize the big data based intelligent garden management method according to any one of claims 1 to 7.
10. A computer-readable storage medium characterized by: the storage medium stores at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the big data based intelligent garden management method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110691347.5A CN113420068A (en) | 2021-06-22 | 2021-06-22 | Big data-based intelligent garden management method, system and terminal |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110691347.5A CN113420068A (en) | 2021-06-22 | 2021-06-22 | Big data-based intelligent garden management method, system and terminal |
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| CN113420068A true CN113420068A (en) | 2021-09-21 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106547853A (en) * | 2016-10-19 | 2017-03-29 | 北京航天泰坦科技股份有限公司 | Forestry big data building method based on a figure |
| CN111709643A (en) * | 2020-06-16 | 2020-09-25 | 南方电网数字电网研究院有限公司 | Smart park management system, smart park management method, computer device, and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106547853A (en) * | 2016-10-19 | 2017-03-29 | 北京航天泰坦科技股份有限公司 | Forestry big data building method based on a figure |
| CN111709643A (en) * | 2020-06-16 | 2020-09-25 | 南方电网数字电网研究院有限公司 | Smart park management system, smart park management method, computer device, and storage medium |
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