CN111401720A - Intelligent greening maintenance method and system based on Internet of things - Google Patents
Intelligent greening maintenance method and system based on Internet of things Download PDFInfo
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Abstract
The system comprises a data acquisition end, a management and maintenance cloud computer and a management and maintenance cloud computer, wherein the data acquisition end is used for acquiring greening related data of a green area based on the Internet of things and transmitting the greening related data to the management and maintenance cloud computer in real time; the management and maintenance cloud system is used for analyzing and processing greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work; the greening supervision client is used for checking and managing the analysis and processing result of the maintenance cloud computer and distributing a maintenance task to the greening mobile client so as to supervise the intelligent maintenance through the greening mobile client; and the greening mobile client is used for receiving the maintenance tasks distributed by the greening supervision client and uploading the task completion condition. The method and the device for maintaining the data of the mobile terminal aim to solve the problem that the existing manual inspection and maintenance method cannot guarantee refinement, instantaneity and integrity of management.
Description
Technical Field
The application relates to the technical field of garden management, in particular to an intelligent greening maintenance method and system based on the Internet of things.
Background
Urban landscaping, as the only living infrastructure of a city, plays an important and irreplaceable role in improving urban ecological environment, beautifying urban living and working environment, and creating new urban gardens and ecological landscapes. Along with the continuous acceleration of the urbanization process, the urban green land is continuously increased, the management area is large, and the route is long. At present, landscaping maintenance management mainly depends on a traditional manual patrol maintenance method, but for the current situations that urban greenbelt has large management and maintenance area and long route, if the traditional manual patrol maintenance method is continuously used, the refinement, real-time performance and integrity of management cannot be guaranteed.
Disclosure of Invention
The main purpose of the application is to provide an intelligent greening maintenance method and system based on the Internet of things, so as to solve the problem that the existing manual inspection maintenance method cannot guarantee the refinement, the real-time performance and the integrity of management.
In order to achieve the above object, according to a first aspect of the present application, a system for intelligent greening maintenance based on internet of things is provided.
The intelligent greening and maintaining system based on the Internet of things comprises:
the data acquisition terminal is used for acquiring greening related data of the green land area based on the Internet of things and transmitting the greening related data to the management and maintenance cloud computer in real time;
the management and maintenance cloud system is used for analyzing and processing greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work;
the greening supervision client is used for checking and managing the analysis and processing result of the maintenance cloud computer and distributing a maintenance task to the greening mobile client so as to supervise the intelligent maintenance through the greening mobile client;
and the greening mobile client is used for receiving the maintenance tasks distributed by the greening supervision client and uploading the task completion condition.
Optionally, the management cloud brain includes:
the management and maintenance plan generating module is used for generating a management and maintenance plan based on massive greening related data and the actual demand of the area so as to be referred by a greening supervision client;
the dynamic monitoring module is used for starting a corresponding protection plan and sending a protection prompt when the severe weather data is monitored;
the growth optimization module is used for analyzing the reasons of the plants with poor growth and interfering the growth environment of the plants;
the risk early warning module is used for generating a water shortage early warning according to the growth demand of the plants and real-time soil data;
the dispatching module is used for sending the management plan and/or the protection plan and/or the intervention plan to the greening supervision client and/or the greening mobile client;
and the comprehensive evaluation module is used for recording the completion condition of the management and maintenance plan and/or the protection plan and/or the intervention plan and comprehensively evaluating the management and maintenance unit to which the greening supervision client and/or the greening mobile client belongs.
Optionally, the system further includes:
the mobile terminal is used for identifying the two-dimensional code on the plant through a built-in greening mobile client or a third-party client and sending the information of the two-dimensional code to the management and maintenance cloud computer;
the management and maintenance cloud brain is further used for returning management and maintenance records or science popularization knowledge of plants to the mobile terminal according to the information of the two-dimensional codes.
Optionally, the data acquisition end includes:
the soil moisture monitoring station is used for monitoring soil moisture, soil temperature, soil pH value, soil salinity and other soil moisture of the green land area in real time;
the tree inclination monitor is used for monitoring the inclination condition of the plants in real time;
the plant nitrogen phosphorus potassium tester is used for testing the nitrogen phosphorus potassium of the plant;
and the geographic information acquisition module is used for acquiring the geographic information of the green area.
Optionally, the management cloud brain further comprises:
and the management attendance analysis module is used for intelligently analyzing attendance information of the management and maintenance unit.
Optionally, the greening supervision client includes:
the maintenance recording module is used for recording plant maintenance and/or facility maintenance and/or sanitary cleaning in the green land area;
the intelligent management and maintenance module is used for receiving a maintenance task generated by managing and maintaining the cloud computer or receiving a maintenance task locally generated by a greening supervision client, wherein the locally generated maintenance task is a maintenance task manually deployed by an administrator;
and the data report management module is used for generating and displaying a report according to the data to be displayed according to the query requirement.
Optionally, the greening mobile client includes:
and the face login module is used for logging in through a face recognition biological authentication mode.
In order to achieve the above object, according to a second aspect of the present application, a method for intelligent greening and maintenance based on internet of things is provided.
The intelligent greening and maintaining method based on the Internet of things comprises the following steps:
the management and maintenance cloud brain receives greening related data, wherein the greening related data are greening related data of a green land area collected by a data collection end;
realizing analysis processing of greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work;
and the management and maintenance cloud brain distributes the generated management and maintenance plan to the management and maintenance plan and/or the protection plan and/or the intervention plan to the greening supervision client and/or the greening mobile client.
Optionally, the method further includes:
generating a management and maintenance plan based on massive greening related data and the actual demand of the area for the greening supervision client to refer to;
when the severe weather data is monitored, starting a corresponding protection plan and sending a protection prompt;
analyzing the reasons of the plants with poor growth and intervening the growth environment;
generating a water shortage early warning according to the growth demand of the plants and real-time soil data;
recording the completion condition of the management and maintenance plan and/or the protection plan and/or the intervention plan, and comprehensively evaluating the management and maintenance unit to which the greening supervision client and/or the greening mobile client belongs.
Optionally, the method further includes:
and returning management records or science popularization knowledge of the plants to the mobile terminal according to the information of the two-dimension codes, wherein the two-dimension code information is obtained by the mobile terminal through the two-dimension codes on the plants identified by the built-in greening mobile client or the third-party client.
In order to achieve the above object, according to a third aspect of the present application, another method for intelligent greening and maintenance based on internet of things is provided.
The intelligent greening and maintaining method based on the Internet of things comprises the following steps:
the greening supervision client side checks the analysis and processing result of the management and maintenance cloud brain and obtains a management and maintenance plan;
distributing maintenance tasks to the greening mobile client;
and the intelligent maintenance is supervised through the greening mobile client.
In order to achieve the above object, according to a third aspect of the present application, there is provided a computer-readable storage medium storing computer instructions for causing a computer to execute the method for intelligent greening maintenance based on internet of things of any one of the second or third aspects.
In the method and the system for intelligent greening maintenance based on the Internet of things, the data acquisition end is used for acquiring greening related data of a green area based on the Internet of things and transmitting the greening related data to the management and maintenance cloud computer in real time; the management and maintenance cloud system is used for analyzing and processing greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work; the greening supervision client is used for checking and managing the analysis and processing result of the maintenance cloud computer and distributing a maintenance task to the greening mobile client so as to supervise the intelligent maintenance through the greening mobile client; and the greening mobile client is used for receiving the maintenance tasks distributed by the greening supervision client and uploading the task completion condition. Therefore, in the application, the Internet of things, artificial intelligence and big data are integrated, real-time, massive and comprehensive data support is provided for green space maintenance, intelligent management of green space maintenance is achieved, people, things and things are effectively connected, a new green space management mode is established, and efficiency of green space maintenance management is greatly improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
fig. 1 is a block diagram illustrating a system for intelligent greening maintenance based on internet of things according to an embodiment of the present application;
fig. 2 is a block diagram of a data acquisition end in an intelligent greening maintenance system based on the internet of things according to an embodiment of the present application;
fig. 3 is a block diagram illustrating components of a cloud deck for intelligent greening maintenance based on the internet of things according to an embodiment of the present application;
fig. 4 is a block diagram illustrating a greening supervision client in another intelligent greening maintenance system based on the internet of things according to an embodiment of the present application;
fig. 5 is a flowchart of a method for intelligent greening maintenance based on internet of things according to an embodiment of the present application;
fig. 6 is a flowchart of an intelligent greening maintenance method based on the internet of things according to an embodiment of the application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
According to the embodiment of the application, an intelligent greening maintenance system based on the internet of things is provided, as shown in fig. 1, the system comprises:
the data acquisition terminal 11 is used for acquiring greening related data of a green land area based on the Internet of things and transmitting the greening related data to the management and maintenance cloud server in real time;
the management and maintenance cloud computer 12 is used for analyzing and processing greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work;
the greening supervision client 13 is used for checking and managing the analysis and processing result of the maintenance cloud computer and distributing a maintenance task to the greening mobile client so as to supervise the intelligent maintenance through the greening mobile client;
and the greening mobile client 14 is used for receiving the maintenance tasks distributed by the greening supervision client and uploading the task completion conditions.
The data acquisition end 11 realizes the data acquisition and analysis of the soil in the garden greening belt by using a sensor and a wireless data transmission device. Specifically, as shown in fig. 2, the data acquisition end 11 includes:
the soil moisture monitoring station 111 is used for monitoring soil moisture, soil temperature, soil pH value, soil salinity and other soil moisture of the green land area in real time;
specifically, the soil moisture content is monitored in real time through sensors such as a soil humidity sensor, a soil temperature sensor, a soil pH value sensor and a soil salinity sensor. According to actual conditions, 1 or more soil moisture content monitoring stations can be uniformly deployed.
A tree inclination monitor 112 for monitoring the inclination of the plant in real time;
the method is mainly characterized in that an inclination monitor is deployed on the key trees to monitor the inclination of the key trees in real time.
The plant nitrogen phosphorus potassium determinator 113 is used for determining the nitrogen phosphorus potassium of the plant;
and a geographic information obtaining module 114, configured to obtain geographic information of the green space region.
The geographic information of the green space region can mark the position of the green space in a certain region (city, county, etc.) through a GIS geographic information system, and the geographic information comprises the contents of boundary positioning, etc.
Specifically, as shown in fig. 3, the health care cloud 12 includes:
the management and maintenance plan generating module 121 is configured to generate a management and maintenance plan based on massive greening related data and actual requirements of an area, so as to be referred by a greening supervision client;
the management cloud brain stores massive greening related data (soil temperature, humidity, PH value, geographical position, plant habit, management history, temperature, date and the like) and real-time greening related data. The management cloud brain can generate corresponding management plan generation models based on an artificial intelligence algorithm, and then generate corresponding management plans for different areas based on the management plan generation models. Specific embodiments give an example of a management plan, including date, location, measures. The measures include pruning, watering, medication, shading and the like.
According to the type division of the information base, the massive greening related data stored in the management and maintenance cloud brain comprise: the system comprises a key plant information base (management number, tree species name, family, tree age, position and the like), a management and maintenance record information base (management and maintenance task information comprising time, position, participator, task details and the like), a greenbelt information base (greenbelt position mark comprising content of boundary positioning and the like), a management and maintenance intelligence base (management method for various special conditions such as high temperature, drought, cold flow, insect pest and the like), a management and maintenance basic information base (the name, distribution area, growth cycle, growth environment, cultivation mode and the like of common garden trees), a small ecological information base (soil information data uploaded by a collection station is stored according to time), and an equipment information base (relevant information such as the deployment position of environmental monitoring equipment and the like).
The dynamic monitoring module 122 is configured to start a corresponding protection plan and send a protection prompt when severe weather data is monitored;
specifically, when the conditions of strong sunlight, high temperature and low rainfall for multiple continuous days are detected, the drought prevention plan is started, and the working personnel are reminded to pay attention to the growth condition of the plants.
The growth optimization module 123 is configured to analyze causes of plants with poor growth and intervene in the growth environment of the plants;
the continuous accumulation and mining analysis of soil humidity, temperature, PH value and salinity data monitored by the sensor of the Internet of things summarize the rule of the plant soil environment and the growth state thereof, perform reason analysis and growth environment intervention on plants with poor growth, and assist in plant growth optimization.
The risk early warning module 124 is used for generating a water shortage early warning according to the growth demand of the plants and real-time soil data;
and inquiring soil water content data of each monitoring point, simultaneously calling green land GPS position information and plant information registered in the green land, inquiring life habit information of various plants in the green land, and if the soil water content does not meet the growth requirement of specific plants, sending out a water shortage early warning. And a corresponding processing scheme can be automatically generated according to the water shortage early warning. The processing scheme is issued to the greening supervision client and/or the greening mobile client. So that the workers can process the treatment in time.
A dispatch module 125, configured to issue the management plan and/or the protection plan and/or the intervention plan to the greening supervision client and/or the greening mobile client;
in the system, the management cloud brain is equivalent to a background server side of the system, the greening supervision client side (PC side) and the greening mobile client side (mobile side) are both client sides of the system, and the server side provides service for the client sides. The management plan and/or the protection plan and/or the intervention plan can be distributed to the greening supervision client, and the greening supervision client issues the greening monitoring plan and/or the protection plan to the greening mobile client according to the requirements of actual conditions; or directly to the greening mobile client. Generally, a greening supervision client (PC end) corresponds to a management end (a guide station, etc.) of an area, and a greening mobile client corresponds to a garden worker.
And the comprehensive evaluation module 126 is used for recording the completion condition of the management and maintenance plan and/or the protection plan and/or the intervention scheme and comprehensively evaluating the management and maintenance unit to which the greening supervision client and/or the greening mobile client belong.
The contents and the number of management plans corresponding to different management units are different, and all the management units need to be managed comprehensively. Specifically, the completion of the task, the plan and the plan can be analyzed according to a certain period (for example, one week, one month and the like). Such as a scheduled number, an unscheduled number, a scheduled task, a project, a scheduled completion schedule, and so forth.
Further, the administration cloud 12 further includes an administration sign-in analysis module 127 for performing intelligent analysis on the sign-in information of the administration unit.
The specific intelligent analysis can realize the statistical ranking of the attendance times of the management and maintenance units, the statistical ranking of the item attendance of the management and maintenance units, the attendance time distribution range, the monthly attendance query of the management and maintenance units, the monthly management and maintenance time query of the management and maintenance units, the coverage monitoring of the management and maintenance items, the daily attendance monitoring and the like.
In addition, the managed cloud brain 12 can also realize the standard section self-check analysis according to the managed standard section self-check analysis algorithm, including (1) the standard section self-check analysis: the current month self-checking ranking realizes the self-checking ranking according to the item dimension; a plurality of rising bits; descending several bits; realizing self-checking ranking according to the dimension of the management unit; a plurality of rising bits; descending several bits; (2) and (3) performing standard section self-checking analysis: the overrun processing alarm is considered according to the reporting time and the rectification time limit, if the overrun time limit is exceeded and the overrun time limit is not processed, the alarm is given; (3) and (3) performing standard section self-checking analysis: and (4) carrying out statistics on the problem type distribution according to the problem types, and finding out the increase and decrease of the number, the problem proportion and the ring ratio of the problems. All analysis results can be viewed through the greening mobile client or the greening supervision client.
In addition, the managed cloud brain 12 can also realize supervised assessment analysis according to a supervised assessment intelligent analysis algorithm, including (1) the supervised assessment analysis: the overrun processing alarm is considered according to the reporting time and the rectification time limit, if the overrun time limit is exceeded and the overrun time limit is not processed, the alarm is given; (2) supervision, assessment and analysis: and (4) carrying out statistics on the problem type distribution according to the problem types, and finding out the increase and decrease of the number, the problem proportion and the ring ratio of the problems. All analysis results can be viewed through the greening mobile client or the greening supervision client.
Further, the risk early warning module 124 can perform early warning on soil salinity, ambient temperature, soil acidity and alkalinity and the like except for early warning of soil water shortage, specifically can set corresponding threshold values, and automatically sends out early warning when the threshold values are exceeded so as to remind workers to pay attention and prepare for coping work.
As shown in fig. 4, the greening supervising client 13 further includes:
a maintenance recording module 131 for recording plant maintenance and/or facility maintenance and/or sanitation cleaning in the green space region;
the record of plant maintenance includes the work such as pruning, watering, fertilization, deinsectization, and the record of plant maintenance can be through gardens worker in work, through afforestation mobile client real-time or regularly fill in or report the maintenance record, afforestation supervision client can be through each afforestation mobile client real-time or regularly fill in or report the maintenance record and carry out the record to all plant maintenance.
The facility maintenance comprises the registration management of all related equipment facilities; the sanitation cleaning comprises the registration and the consultation of sanitation cleaning work of the region under the jurisdiction such as the region greenbelt; in addition, patrol management is also included, namely basic information of the plants in the green land, patrol historical records and the like are recorded.
The intelligent management and maintenance module 132 is configured to receive a maintenance task generated by managing and maintaining the cloud computer, or receive a maintenance task locally generated by the greening supervision client, where the locally generated maintenance task is a maintenance task manually deployed by an administrator;
the maintenance tasks comprise various management tasks or schemes or plans which are generated by a management cloud computer based on a big data artificial intelligence algorithm and are suitable for the current practical situation; the method also comprises a maintenance task locally generated by the greening supervision client, wherein the local maintenance task is usually when the management cloud computer cannot normally provide a management task or a scheme or a plan, or a personalized task needs to be locally deployed by self-help or an existing task is adjusted or modified.
And the data report management module 133 is configured to generate a report from the data to be displayed according to the query requirement and display the report.
Specifically, various data of the system are displayed through a graphical report by using various visual report presentation means such as a line graph, a pie chart, a histogram, a Gantt chart and the like, so as to provide help for overall planning, and report contents include but are not limited to the following contents:
sign-in condition report form: the method comprises the following steps of ranking the check-in times of management units, ranking check-in projects, distributing ranges of check-in and check-out time, carrying out monthly check-in statistics, carrying out monthly management time statistics, managing project coverage rate, daily check-in conditions and the like;
and (5) marking section self-checking report forms: self-checking ranking in the current month, overrun processing statistics and problem type distribution;
managing and maintaining plan report forms: plan statistics, plan coverage, plan completion rate, etc. in the week;
and (4) supervision and assessment report forms: performing overrun processing statistics and problem type distribution;
a soil data report: presenting data such as variation, proportion, ring ratio and the like of data such as soil water content, soil salt content, soil pH value and the like;
and (3) GIS system linkage: the soil data can be combined with a GIS geographic information system, and the position of the acquisition station and related data can be directly marked on a map.
Furthermore, the greening supervision client can also dispatch and issue a management and maintenance plan and/or a protection plan and/or an intervention plan which are dispatched by a management and maintenance cloud computer or self-service deployment to the greening mobile client; and supervises the completion.
Further, the system also comprises a mobile terminal, and the mobile terminal is also used for identifying the two-dimensional code on the plant through a built-in greening mobile client 14 or a third-party client, and sending the information of the two-dimensional code to the management and maintenance cloud computer; and the corresponding management and maintenance cloud brain is also used for returning management and maintenance records or popular science knowledge of plants to the mobile terminal according to the information of the two-dimensional code.
The third-party client is any application program capable of scanning and identifying the two-dimensional code. For the common people, after scanning the two-dimensional code on the plant, the science popularization knowledge (related science popularization knowledge such as plant academic name, alternative name, species classification, distribution area, habit and the like) of the plant is returned to the mobile terminal; the two-dimension code on the plant is scanned by a garden worker through the two-dimension code scanning function of the greening mobile client installed on the mobile terminal, and the corresponding mobile terminal can display the related maintenance records (name, serial number, planting time, habit, management and maintenance history record and the like) of the plant.
Further, the greening mobile client 14 further includes a face login module, which is used for logging in through a biometric authentication method of face recognition. The face recognition biometric authentication is used, the management of the authority of login personnel is enhanced, the safety of application data can be effectively improved, and meanwhile the situation of signing instead of signing when the personnel sign.
Finally, beneficial effects of the intelligent greening and maintenance system based on the Internet of things are summarized:
1. the method comprises the following steps of (1) acquiring and analyzing soil data of the garden green belt by using a sensor and wireless data transmission equipment;
2. building a landscaping two-dimensional code system, and realizing management and maintenance registration of seedlings in gardens and popular science of people;
3, constructing an intelligent management and maintenance cloud brain, realizing data processing on urban landscaping by using advanced information technology means such as a big data intelligent algorithm, GIS geographic information and the like, and analyzing the development of management and maintenance work by using an empirical algorithm model;
4. constructing a pc-end interactive system of the landscaping real-time dynamic supervision cloud platform to realize data presentation and comprehensive management operation of the pc end;
5. the greening management and maintenance assessment client performs function expansion and upgrading to realize face recognition biological authentication and various management and maintenance functions;
6. the labor input of professional technicians and maintenance personnel is reduced, the green management difficulty is reduced, and the labor, material resources and administrative management expenditure cost are saved;
7. by applying technologies such as the Internet of things, cloud computing and big data, intelligent sensing, intelligent management, intelligent analysis and intelligent early warning of garden management are realized by relying on sensing nodes and communication networks deployed in urban gardens, people, things and things are effectively connected, and a new green management and management mode is established.
According to an embodiment of the present application, there is also provided a method for implementing intelligent greening maintenance based on internet of things of the system described in fig. 1 to 4, as shown in fig. 5, the method includes:
s101, receiving greening related data by a management and maintenance cloud computer, wherein the greening related data are collected by a data collection end;
s102, analyzing and processing greening related data based on an artificial intelligence algorithm to guide intelligent maintenance work;
and S103, the management and maintenance cloud brain distributes the generated management and maintenance plan to the management and maintenance plan and/or the protection plan and/or the intervention plan to the greening supervision client and/or the greening mobile client.
Further, the method further comprises:
generating a management and maintenance plan based on massive greening related data and the actual demand of the area for the greening supervision client to refer to;
when the severe weather data is monitored, starting a corresponding protection plan and sending a protection prompt;
analyzing the reasons of the plants with poor growth and intervening the growth environment;
generating a water shortage early warning according to the growth demand of the plants and real-time soil data;
recording the completion condition of the management and maintenance plan and/or the protection plan and/or the intervention plan, and comprehensively evaluating the management and maintenance unit to which the greening supervision client and/or the greening mobile client belongs.
Further, the method further comprises:
and returning management records or science popularization knowledge of the plants to the mobile terminal according to the information of the two-dimension codes, wherein the two-dimension code information is obtained by the mobile terminal through the two-dimension codes on the plants identified by the built-in greening mobile client or the third-party client.
Specifically, the implementation process of each step in the system in the embodiment of the present application may refer to the related description in the embodiment of the system, and is not described herein again.
According to an embodiment of the present application, there is provided another method for implementing intelligent greening maintenance based on internet of things of the system described in fig. 1 to fig. 4, as shown in fig. 6, the method includes:
201. the greening supervision client side checks the analysis and processing result of the management and maintenance cloud brain and obtains a management and maintenance plan;
202. distributing maintenance tasks to the greening mobile client;
203. and the intelligent maintenance is supervised through the greening mobile client.
Specifically, the implementation process of each step in the system in the embodiment of the present application may refer to the related description in the embodiment of the system, and is not described herein again.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present application, a computer-readable storage medium is further provided, where the computer-readable storage medium stores computer instructions for causing the computer to execute the method for intelligent greening maintenance based on internet of things in the foregoing method embodiment.
According to an embodiment of the present application, there is also provided an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor to cause the at least one processor to perform the method for intelligent greening maintenance based on internet of things in the above method embodiments.
It will be apparent to those skilled in the art that the modules or steps of the present application described above may be implemented in a general purpose computing system, centralized on a single computing system or distributed across a network of multiple computing systems, or alternatively implemented in program code that is executable by a computing system, such that the modules or steps may be stored in a memory system and executed by a computing system, fabricated separately as integrated circuit modules, or fabricated as a single integrated circuit module. Thus, the present application is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. The utility model provides a system for intelligent afforestation maintenance based on thing networking which characterized in that, the system includes:
the data acquisition terminal is used for acquiring greening related data of the green land area based on the Internet of things and transmitting the greening related data to the management and maintenance cloud computer in real time;
the management and maintenance cloud system is used for analyzing and processing greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work;
the greening supervision client is used for checking and managing the analysis and processing result of the maintenance cloud computer and distributing a maintenance task to the greening mobile client so as to supervise the intelligent maintenance through the greening mobile client;
and the greening mobile client is used for receiving the maintenance tasks distributed by the greening supervision client and uploading the task completion condition.
2. The system for intelligent greening maintenance based on the internet of things of claim 1, wherein the management and maintenance cloud system comprises:
the management and maintenance plan generating module is used for generating a management and maintenance plan based on massive greening related data and the actual demand of the area so as to be referred by a greening supervision client;
the dynamic monitoring module is used for starting a corresponding protection plan and sending a protection prompt when the severe weather data is monitored;
the growth optimization module is used for analyzing the reasons of the plants with poor growth and interfering the growth environment of the plants;
the risk early warning module is used for generating a water shortage early warning according to the growth demand of the plants and real-time soil data;
the dispatching module is used for sending the management plan and/or the protection plan and/or the intervention plan to the greening supervision client and/or the greening mobile client;
and the comprehensive evaluation module is used for recording the completion condition of the management and maintenance plan and/or the protection plan and/or the intervention plan and comprehensively evaluating the management and maintenance unit to which the greening supervision client and/or the greening mobile client belongs.
3. The system for intelligent greening maintenance based on internet of things of claim 1, further comprising:
the mobile terminal is used for identifying the two-dimensional code on the plant through a built-in greening mobile client or a third-party client and sending the information of the two-dimensional code to the management and maintenance cloud computer;
the management and maintenance cloud brain is further used for returning management and maintenance records or science popularization knowledge of plants to the mobile terminal according to the information of the two-dimensional codes.
4. The system for intelligent greening maintenance based on internet of things of claim 1, wherein the data acquisition end comprises:
the soil moisture monitoring station is used for monitoring soil moisture, soil temperature, soil pH value, soil salinity and other soil moisture of the green land area in real time;
the tree inclination monitor is used for monitoring the inclination condition of the plants in real time;
the plant nitrogen phosphorus potassium tester is used for testing the nitrogen phosphorus potassium of the plant;
and the geographic information acquisition module is used for acquiring the geographic information of the green area.
5. The system for intelligent greening maintenance based on internet of things of claim 2, wherein the management and maintenance cloud system further comprises:
and the management attendance analysis module is used for intelligently analyzing attendance information of the management and maintenance unit.
6. The system for intelligent greening maintenance based on internet of things of claim 1, wherein the greening supervision client comprises:
the maintenance recording module is used for recording plant maintenance and/or facility maintenance and/or sanitary cleaning in the green land area;
the intelligent management and maintenance module is used for receiving a maintenance task generated by managing and maintaining the cloud computer or receiving a maintenance task locally generated by a greening supervision client, wherein the locally generated maintenance task is a maintenance task manually deployed by an administrator;
and the data report management module is used for generating and displaying a report according to the data to be displayed according to the query requirement.
7. The system for intelligent greening maintenance based on internet of things of claim 1, wherein the greening mobile client comprises:
and the face login module is used for logging in through a face recognition biological authentication mode.
8. An intelligent greening maintenance method based on the Internet of things is characterized by comprising the following steps:
the management and maintenance cloud brain receives greening related data, wherein the greening related data are greening related data of a green land area collected by a data collection end;
realizing analysis processing of greening related data based on an artificial intelligence algorithm so as to guide intelligent maintenance work;
and the management and maintenance cloud brain distributes the generated management and maintenance plan to the management and maintenance plan and/or the protection plan and/or the intervention plan to the greening supervision client and/or the greening mobile client.
9. The method for intelligent greening maintenance based on the internet of things of claim 8, wherein the method further comprises the following steps:
generating a management and maintenance plan based on massive greening related data and the actual demand of the area for the greening supervision client to refer to;
when the severe weather data is monitored, starting a corresponding protection plan and sending a protection prompt;
analyzing the reasons of the plants with poor growth and intervening the growth environment;
generating a water shortage early warning according to the growth demand of the plants and real-time soil data;
recording the completion condition of the management and maintenance plan and/or the protection plan and/or the intervention plan, and comprehensively evaluating the management and maintenance unit to which the greening supervision client and/or the greening mobile client belongs.
10. A computer-readable storage medium storing computer instructions for causing a computer to perform the method for intelligent internet of things-based greening maintenance of the claim 8 or 9.
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| CN113506017A (en) * | 2021-07-26 | 2021-10-15 | 南京林业大学 | Campus is managed with digit gardens and is supported system |
| CN114063686A (en) * | 2021-11-15 | 2022-02-18 | 宁夏农林科学院植物保护研究所（宁夏植物病虫害防治重点实验室） | Agricultural pest monitoring and early warning method |
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Application publication date: 20200710 |