Multi-scene production environment data acquisition method and device

Abstract

The invention provides a multi-scene production environment data acquisition method and device, and is applied to the technical field of agricultural production. The method comprises the following steps: acquiring latitude and longitude information and scene monitoring information of monitoring equipment, wherein the scene monitoring information is used for indicating a crop growth environment; a target planting area is determined based on the longitude and latitude information, planting information of the target planting area is inquired, and the planting information comprises a crop variety, planting time and a management target; determining a crop growth stage of the crop variety in combination with the current time and the planting time, and determining growth feedback information according to the environment monitoring information, the crop growth stage and the management target; wherein the growth feedback information is used for indicating the adjustment mode of the crop planting decision.

Description

Technical Field

[0001] The present invention relates to the technical field of agricultural production, and in particular, to a method and device for collecting multi-scenario production environment data. Background Art

[0002] With the in-depth application of Internet of Things and big data technologies in the agricultural field, the quality assurance of agricultural products has gradually become a research hotspot. Agricultural experts and high-tech enterprises have studied methods such as real-time acquisition of production environment, dynamic collection of crop growth conditions, and large-scale collection of meteorological data through extensive technical exploration and business integration. Some studies have innovated in data collection methods and analysis means, such as edge computing, data fusion and analysis of multiple sources and multiple scenarios, in order to fully and effectively collect data throughout the production process chain and provide accurate data services for management agencies, researchers and production personnel.

[0003] In the prior art, it is possible to collect and analyze data during the production process, drive the intercept through remote control to perform operations, and encrypt the transmitted data to avoid data leakage. However, the system has poor adaptability to large-scale and irregular agricultural environments and is difficult to meet the diverse needs in agricultural production. Summary of the Invention

[0004] The present invention provides a method and device for collecting multi-scenario production environment data to solve the problem of insufficient performance of the prior art in multi-scenario adaptability.

[0005] The present invention provides a method for collecting multi-scenario production environment data, including: obtaining the longitude and latitude information and scenario monitoring information of a monitoring device, where the scenario monitoring information is used to indicate the crop growth environment; determining a target planting area based on the longitude and latitude information, and querying the planting information of the target planting area, where the planting information includes crop variety, planting time, and management objectives; determining the crop growth stage of the crop variety by combining the current time and the planting time, and determining growth feedback information according to the environmental monitoring information, the crop growth stage, and the management objectives, where the growth feedback information is used to indicate the adjustment method of crop planting decisions.

[0006] According to the method for collecting multi-scenario production environment data provided by the present invention, the collection points corresponding to the monitoring devices are determined according to the characteristics of the planting area, and the characteristics of the planting area include plot area, soil characteristics, terrain, and elevation.

[0007] According to a multi-scenario production environment data collection method provided by the present invention, before obtaining the longitude and latitude information and scenario monitoring information of the monitoring device, the method further includes: determining the planting information and crop growth analysis type of the target planting area; configuring the information monitoring method of the monitoring device according to the planting information of the target planting area, and determining the monitoring information type according to the crop growth analysis type.

[0008] According to a multi-scenario production environment data collection method provided by the present invention, after obtaining the longitude and latitude information and scenario monitoring information of the monitoring device, the method further includes: evaluating the connectivity performance of the transmission node through a channel model to obtain the evaluation results of multiple transmission paths, and the evaluation results are used to indicate the transmission speed and stability of the transmission path; determining a target transmission path from the multiple transmission paths according to the evaluation results, and transmitting the scenario monitoring information and the growth feedback information to the user terminal through the target transmission path.

[0009] According to a multi-scenario production environment data collection method provided by the present invention, the presentation method of the scenario monitoring information and the growth feedback information at the user terminal is determined by the user identity of the user terminal.

[0010] The present invention also provides a multi-scenario production environment data collection device, including the following modules: an acquisition module and a processing module; the acquisition module is used to acquire the longitude and latitude information and scenario monitoring information of the monitoring device, and the scenario monitoring information is used to indicate the crop growth environment; the processing module is used to determine the target planting area based on the longitude and latitude information, and query the planting information of the target planting area, and the planting information includes crop variety, planting time, and management objectives; combining the current time and the planting time to determine the crop growth stage of the crop variety, and determining the growth feedback information according to the environmental monitoring information, the crop growth stage, and the management objectives; wherein, the growth feedback information is used to indicate the adjustment method of the crop planting decision.

[0011] According to a multi-scenario production environment data collection device provided by the present invention, the collection point corresponding to the monitoring device is determined according to the planting area characteristics, and the planting area characteristics include plot area, soil characteristics, terrain, and elevation.

[0012] According to a multi-scenario production environment data collection device provided by the present invention, the processing module is used to determine the planting information and crop growth analysis type of the target planting area; configure the information monitoring method of the monitoring device according to the planting information of the target planting area, and determine the monitoring information type according to the crop growth analysis type.

[0013] A data acquisition device for a multi-scenario production environment provided by the present invention, the processing module is configured to evaluate the connectivity performance of a transmission node through a channel model to obtain evaluation results of multiple transmission paths, and the evaluation results are used to indicate the transmission speed and stability of the transmission paths; determine a target transmission path from the multiple transmission paths according to the evaluation results, and transmit the scenario monitoring information and the growth feedback information to the user terminal through the target transmission path.

[0014] A data acquisition device for a multi-scenario production environment provided by the present invention, the presentation mode of the scenario monitoring information and the growth feedback information at the user terminal is determined by the user identity of the user terminal.

[0015] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, it implements the multi-scenario production environment data acquisition method as described in any one of the above.

[0016] The present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the multi-scenario production environment data acquisition method as described in any one of the above.

[0017] The present invention also provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the multi-scenario production environment data acquisition method as described in any one of the above.

[0018] The multi-scenario production environment data acquisition method and device provided by the present invention can accurately focus on the specific conditions of a specific planting area by obtaining the longitude and latitude information of a monitoring device and querying the corresponding planting information. Determine the crop growth stage by combining the current time and the planting time, which enables the formulation of crop planting decisions to closely follow the actual growth process of the crops. Determine the growth feedback information based on the environmental monitoring information, crop growth stage, and management objectives, which can provide highly personalized and accurate crop planting decision adjustment methods for growers. In this way, not only can the resource utilization efficiency be improved, the ability to respond to environmental changes be enhanced, the multi-scenario planting requirements be met, and the problem of insufficient scenario adaptability be avoided, but also the planting management strategy can be optimized and the agricultural production efficiency can be improved. Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following will briefly introduce the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings in the following descriptions are some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 It is a schematic flow chart of the multi-scenario production environment data acquisition method provided by the present invention; Figure 2 It is a schematic structural diagram of the multi-scenario production environment data acquisition device provided by the present invention; Figure 3 It is a schematic structural diagram of the electronic device provided by the present invention. Detailed implementation manners

[0021] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts shall fall within the scope of protection of the present application.

[0022] It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0023] It should be noted that in this article, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitations, an element defined by the phrase "including one..." does not exclude the existence of additional identical elements in the process, method, article or device including that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0024] To facilitate the clear description of the technical solutions in the embodiments of the present application, in the embodiments of the present application, words such as "first" and "second" are used to distinguish the same items or similar items with basically the same functions and effects. Those skilled in the art can understand that the words "first" and "second" do not limit the quantity and execution order.

[0025] The embodiments of the present application describe some exemplary embodiments for the purpose of illustration. It should be understood that the present application can be implemented in other ways not specifically shown in the drawings.

[0026] As Figure 1 shown, the embodiments of the present application provide a method for collecting multi-scenario production environment data. This method for collecting multi-scenario production environment data can be applied to a multi-scenario production environment data collection device. This multi-scenario production environment data collection device is located above the monitoring device and below the user terminal, playing the role of a bridge and a hub. It is responsible for coordinating the data obtained by the monitoring device and the functions required by the application service. Specifically, it realizes the matching and calling of models, and integrates data and functions at different levels to meet the complex scenario requirements in agricultural production.

[0027] The method for collecting multi-scenario production environment data may include S101 - S103: S101. The multi-scenario production environment data collection device acquires the longitude and latitude information and scenario monitoring information of the monitoring device.

[0028] Among them, the above-mentioned scenario monitoring information is used to indicate the crop growth environment.

[0029] Optionally, the categories of the above-mentioned scenario monitoring information may include meteorological data and soil data. Among them, the meteorological data may include air temperature, humidity, rainfall, wind speed, wind direction data, light intensity, CO2 concentration, etc. The soil data may include physical property data, chemical property data, biological property data, and other data. The physical property data may be texture, structure, porosity, bulk density, and water content, etc. The chemical property data may be pH value, nutrient content, organic matter content, and cation exchange capacity, etc. The biological property data may be the number and types of microorganisms, soil enzyme activity, and soil animal information. The other data may be soil pollution data and soil salinity data.

[0030] Optionally, the deployment method of the above-mentioned meteorological data may be random point deployment.

[0031] Optionally, the collection points corresponding to the above-mentioned monitoring device are determined according to the planting area characteristics, and the planting area characteristics include plot area, soil characteristics, terrain, and elevation.

[0032] Specifically, since soil data is affected by various factors such as terrain, elevation, and soil type, and the soil data of different plots varies greatly, it is necessary to match according to the planting area characteristics when deploying collection points. For example: For contaminated irrigation plots, the 5-equal-part single diagonal method can be adopted. The reason is that the soil contamination situation in contaminated irrigation plots may have a unique distribution pattern along a certain direction or in a specific area. Through this method, more targeted representative data can be collected.

[0033] For small and flat areas, the 5-equal-part double diagonal method can be used. In such areas, the soil conditions are relatively uniform. The double diagonal method can set sampling points more evenly within a limited area to obtain representative soil data.

[0034] For medium-sized, flat and non-uniform soil areas, the 10-equal-part point grid method can be adopted. This method can divide sampling points more meticulously within a certain area to adapt to the non-uniform soil situation and capture soil data changes more comprehensively.

[0035] For large-sized, non-uniform soil and uneven terrain areas, the 10-equal-part point serpentine method can be used. For such complex areas, the serpentine method can set sampling points more flexibly along with the changes in terrain and soil conditions to ensure that the collected data can fully reflect the diversity and complexity of the soil in this area.

[0036] It should be noted that the multi-scenario production environment data acquisition device can analyze according to information such as the plot area and soil characteristics input by the user, and in combination with Geographic Information System (GIS) information. GIS information can provide detailed data on the geographical location and topography of the plot. Combined with the information input by the user, it can analyze the plot situation more accurately, so as to push the most suitable monitoring device deployment plan for the user and realize the intelligent deployment of data collection points.

[0037] Optionally, before obtaining the longitude and latitude information and scenario monitoring information of the monitoring device, the multi-scenario production environment data acquisition device can determine the planting information and crop growth analysis type of the target planting area; configure the information monitoring method of the monitoring device according to the planting information of the target planting area, and determine the monitoring information type according to the crop growth analysis type.

[0038] Specifically, on the basis of conventional real-time data acquisition, historical data storage, and automatic adaptation of data collection points, the multi-scenario production environment data acquisition device can flexibly configure the type, collection interval, and data semantic depth of data collection according to the characteristics of the planted crops to meet the specific requirements of different crops for environmental data monitoring at different growth stages.

[0039] For example, for the analysis of crop photosynthesis data, the types of monitoring information may include light intensity, CO2 concentration, and O2 concentration data. These factors directly affect the crop photosynthesis process and are crucial for crop growth and organic matter synthesis.

[0040] For the analysis of crop constant data, the types of monitoring information may include temperature, accumulated temperature, humidity, soil temperature, soil humidity, soil pH value, soil trace elements, etc. These data are crucial for understanding the basic environmental conditions and soil nutrient status and other constant information during the crop growth process, and help evaluate the growth suitability and health status of crops.

[0041] For the analysis of fertilization and irrigation data, the types of monitoring information may include air temperature, air humidity, temperature and humidity at different soil layers. Through these data, it is possible to better judge when, where, and how to carry out fertilization and irrigation operations to achieve precision agriculture and improve the utilization efficiency of water and fertilizer.

[0042] For the analysis of pest and disease prevention and control data, the types of monitoring information may include air temperature, air humidity, soil temperature, soil humidity, rainfall, etc. These environmental factors are closely related to the occurrence and development of pests and diseases. Monitoring these data helps to predict and prevent pests and diseases in advance and reduce crop losses.

[0043] For the analysis of agricultural machinery operation data, the types of monitoring information may include soil humidity and rainfall data. Soil humidity and rainfall affect the tillability of the soil, and appropriate humidity conditions can ensure the smooth progress of agricultural machinery operations and avoid damage to the soil structure.

[0044] It should be noted that the multi-scenario production environment data acquisition device can pre-define basic data such as bases, management personnel, management objectives, plot data, plot boundaries, cultivation modes, planting scales, and planting cycles in the cloud platform database, providing a basic library for subsequent data matching and semantic alignment.

[0045] Optionally, after obtaining the scenario monitoring information, the multi-scenario production environment data acquisition device can perform intelligent compression according to the type of scenario monitoring information. Different compression methods are used for different types of data. For example, data encoding compression is performed on the high-bandwidth data generated by video monitoring. Since the video data volume is usually large, encoding compression can reduce the data size, lower the bandwidth required for transmission, and improve the transmission efficiency. At the same time as data compression, temporal matching is combined. That is, the time sequence information of the data is retained during the compression process so that the user side can accurately decode and restore the original state and time sequence of the data. This can ensure that during the data transmission and processing process, the temporal correlation of the data is not damaged, thus not affecting the accurate analysis of the facility vegetable production process.

[0046] S102. The multi-scenario production environment data acquisition device determines the target planting area based on the latitude and longitude information, and queries the planting information of the target planting area.

[0047] Among them, the planting information includes crop variety, planting time, and management objectives.

[0048] Specifically, the multi-scenario production environment data acquisition device can use the latitude and longitude information of the monitoring device to match the corresponding target planting area, thereby determining the specific geographical location corresponding to the data, enabling subsequent data processing to be associated with the actual planting area. Then, the multi-scenario production environment data acquisition device can obtain the planting information of the target planting area, namely crop variety, planting time, and management objectives.

[0049] S103. The multi-scenario production environment data acquisition device combines the current time and the planting time to determine the crop growth stage of the crop variety, and determines the growth feedback information according to the environmental monitoring information, the crop growth stage, and the management objectives.

[0050] Among them, the growth feedback information is used to indicate the adjustment method of crop planting decisions.

[0051] Optionally, the multi-scenario production environment data acquisition device can combine the current time to match the growth stage (i.e., phenological period) of the planted crop. For example, according to the planting time and the growth cycle law of the crop, it is judged whether the current crop is in the germination period, flowering period, or fruiting period, etc. This can accurately correspond the scenario monitoring information with the needs of the crop in a specific growth stage.

[0052] Optionally, the multi-scenario production environment data acquisition device can analyze the scenario monitoring information and compare it with the state of the corresponding growth stage of the crop variety. For example, compare whether the current light intensity meets the light requirements of the crop during the flowering period, or whether the soil humidity meets the water demand standard during the fruiting period. By analyzing the crop appearance data, real-time environmental data, and the user's management objectives, scenario-based growth feedback information is generated. This growth feedback information can intuitively present the difference between the current crop growth environment and the ideal state, providing clear information for users to take corresponding measures in a timely manner.

[0053] It should be noted that regardless of the environment in which the crops are planted, the multi-scenario production environment data acquisition device can perform corresponding analysis and adjustment based on their varieties, phenological periods, and environmental monitoring information. At the same time, it can match the parameter thresholds in different scenarios to determine the reasonable ranges of various environmental parameters under specific environments and crop growth stages. On this basis, it can efficiently assist in production decision-making, such as deciding whether irrigation, fertilization is needed according to the analysis results, or what pest control measures to take, etc., so as to improve the accuracy and efficiency of agricultural production and achieve scientific agricultural production management.

[0054] Optionally, the multi-scenario production environment data acquisition device can evaluate the connectivity performance of the transmission nodes through a channel model to obtain the evaluation results of multiple transmission paths, and the evaluation results are used to indicate the transmission speed and stability of the transmission paths; determine the target transmission path from the multiple transmission paths according to the evaluation results, and transmit the scenario monitoring information and the growth feedback information to the user terminal through the target transmission path.

[0055] Optionally, the channel model can simulate and analyze the propagation of signals in the facility vegetable production environment and evaluate the connection quality between each node. Based on this estimation, an adaptive network node incremental deployment and networking can be realized. That is to say, according to the analysis results of the channel model, nodes are added at appropriate positions in the network to optimize the network structure, improve the network coverage and the stability of data transmission, and ensure that data can be transmitted smoothly in complex environments.

[0056] Optionally, the multi-scenario production environment data acquisition device can achieve the joint optimization of control performance and system energy consumption through a node energy consumption state machine method based on power / clock management. The node energy consumption state machine can dynamically manage power and clock according to the working states of the transmission nodes (such as data acquisition, transmission, sleep, etc.) and adjust the energy consumption of the nodes. For example, when the node is in the data acquisition interval or the network connection is good and there is no need to transmit data frequently, the node can be put into the sleep state to reduce energy consumption; while when data transmission or processing is required, the node is woken up in time to ensure control performance. This method can effectively solve the problems of poor network infrastructure conditions and poor real-time information acquisition in facility vegetable production, and achieve long-term stable and reliable monitoring in the complex environment of facility vegetables.

[0057] Optionally, the presentation method of the scenario monitoring information and the growth feedback information at the user terminal is determined by the user identity of the user terminal.

[0058] Specifically, the multi-scenario production environment data acquisition device can provide different types of data according to the needs of different user groups (farmers, agricultural technicians, and scientific researchers). The advantage of this is that it can avoid unnecessary data transmission and storage during the data sharing and exchange process, thereby saving storage costs, computing power costs, and transmission costs. For example, instead of transmitting all data to each user, data is provided targeted according to the actual needs of the users, improving data utilization efficiency and reducing resource consumption.

[0059] For example, for agricultural production personnel, the multi-scenario production environment data acquisition device can provide them with observable data at a glance, including on-site screenshots, real-time videos, and key real-time data items. These data are very intuitive and practical for agricultural production personnel, enabling them to quickly understand the actual situation of the current production site, such as the growth status of crops, environmental conditions, etc., so as to make decisions in a timely manner and carry out operations such as field management.

[0060] For agricultural technical service personnel, the multi-scenario production environment data acquisition device can provide historical and same-period environmental monitoring data corresponding to the phenological period of the service time node, as well as current problem occurrence focus image data. The historical and same-period environmental monitoring data can help technical service personnel analyze the differences between the current crop growth environment and the past, and identify factors that may affect crop growth; the current problem occurrence focus image data helps them more accurately judge and solve practical problems, such as pest and disease diagnosis, etc., providing more professional technical support for agricultural production.

[0061] For agricultural scientific researchers, the multi-scenario production environment data acquisition device can provide complete historical monitoring data throughout the growth period, historical records of the growth process display, relatively complete real-time environmental data, and multi-parameter data. These rich data resources are very important for scientific researchers to conduct in-depth agricultural research. They can explore scientific issues such as crop growth laws and the impact of the environment on crops through the analysis and research of these data, providing theoretical support for the innovation and development of agricultural technologies.

[0062] Optionally, the multi-scenario production environment data acquisition device can provide shared exchange services through the acquisition equipment soft bus interface, adapt to the communication protocols of various sensors, obtain more comprehensive data through the reuse of sensor devices, and maximize the utility of the installed devices by using the above-mentioned scenario matching method.

[0063] Optionally, on the user side, the WebGIS method can be used to display the locations of the growth monitoring stations, image data, real-time environmental monitoring data, and historical environmental monitoring data, visually present the spatio-temporal information, element information, growth plots and base information, and equipment operating conditions of the devices, and multi-dimensionally present the data status by integrating human-computer interaction technologies such as graphs and tables. In particular, the data elements are presented in the geographical space in combination with the time axis, endowing the monitoring data with the support function for rule mining.

[0064] In the embodiments of the present application, by obtaining the longitude and latitude information of the monitoring device to determine the target planting area and querying the corresponding planting information, the specific situation of a specific planting area can be accurately focused on. Determining the crop growth stage by combining the current time and the planting time enables the formulation of crop planting decisions to closely follow the actual growth process of the crops. Determining the growth feedback information based on the environmental monitoring information, crop growth stage, and management objectives can provide highly personalized and accurate crop planting decision adjustment methods for growers. In this way, not only can the resource utilization efficiency be improved, the ability to respond to environmental changes be enhanced, the multi-scenario planting requirements be met, and the problem of insufficient scenario adaptability be avoided, but also the planting management strategy can be optimized and the agricultural production efficiency can be improved.

[0065] The above mainly introduced the solution provided by the embodiments of the present application from the perspective of the method. To implement the above functions, it includes the corresponding hardware structure and / or software module for executing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the embodiments of the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed in the form of hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present application.

[0066] It should be noted that the device in the embodiments of the present application includes a virtual device and a physical device. The virtual device can be a multi-scenario production environment data acquisition device, and the physical device can include an electronic device, a computer storage medium, and a computer program product.

[0067] The multi-scenario production environment data acquisition method provided by the embodiments of the present application can be executed by a multi-scenario production environment data acquisition device, or a control module for multi-scenario production environment data acquisition in the multi-scenario production environment data acquisition device. In the embodiments of the present application, taking the multi-scenario production environment data acquisition device executing the multi-scenario production environment data acquisition method as an example, the multi-scenario production environment data acquisition device provided by the embodiments of the present application is described.

[0068] It should be noted that the embodiments of the present application can divide the functional modules of the multi-scenario production environment data collection device according to the above method examples. For example, each functional module can be corresponding to each function, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. Optionally, the division of modules in the embodiments of the present application is illustrative, only a logical function division, and there can be other division methods in actual implementation.

[0069] As Figure 2 shown, the embodiments of the present application provide a multi-scenario production environment data collection device 200. The multi-scenario production environment data collection device 200 includes: an acquisition module 201 and a processing module 202. The acquisition module 201 can be used to acquire the longitude and latitude information of the monitoring device and the scenario monitoring information, and the scenario monitoring information is used to indicate the crop growth environment; the processing module 202 can be used to determine the target planting area based on the longitude and latitude information, query the planting information of the target planting area, and the planting information includes crop varieties, planting time, and management objectives; determine the crop growth stage of the crop variety by combining the current time and the planting time, and determine the growth feedback information according to the environmental monitoring information, the crop growth stage, and the management objectives; wherein, the growth feedback information is used to indicate the adjustment method of crop planting decisions.

[0070] Optionally, the collection point corresponding to the monitoring device is determined according to the planting area characteristics, and the planting area characteristics include plot area, soil characteristics, terrain, and elevation.

[0071] Optionally, the processing module 202 is used to determine the planting information and the crop growth analysis type of the target planting area; configure the information monitoring method of the monitoring device according to the planting information of the target planting area, and determine the monitoring information type according to the crop growth analysis type.

[0072] Optionally, the processing module 202 is used to evaluate the connectivity performance of the transmission node through a channel model to obtain the evaluation results of multiple transmission paths, and the evaluation results are used to indicate the transmission speed and stability of the transmission paths; determine the target transmission path from the multiple transmission paths according to the evaluation results, and transmit the scenario monitoring information and the growth feedback information to the user terminal through the target transmission path.

[0073] Optionally, the presentation method of the scenario monitoring information and the growth feedback information at the user terminal is determined by the user identity of the user terminal.

[0074] In the embodiments of the present application, by obtaining the longitude and latitude information of the monitoring device to determine the target planting area and querying the corresponding planting information, the specific situation of a specific planting area can be accurately focused on. Determining the crop growth stage by combining the current time and the planting time enables the formulation of crop planting decisions to closely follow the actual growth process of the crops. Determining the growth feedback information based on the environmental monitoring information, the crop growth stage, and the management objectives can provide highly personalized and accurate ways to adjust crop planting decisions for growers. In this way, not only can the resource utilization efficiency be improved, the ability to respond to environmental changes be enhanced, the multi-scenario planting requirements be met, and the problem of insufficient scenario adaptability be avoided, but also the planting management strategy can be optimized and the agricultural production efficiency can be improved.

[0075] Figure 3 An entity structure diagram of an electronic device is illustrated, as Figure 3 shown. The electronic device may include: a processor 310, a communications interface 320, a memory 330, and a communication bus 340. Among them, the processor 310, the communications interface 320, and the memory 330 communicate with each other through the communication bus 340. The processor 310 can call the logical instructions in the memory 330 to execute the multi-scenario production environment data collection method, which includes: obtaining the longitude and latitude information and scenario monitoring information of the monitoring device, where the scenario monitoring information is used to indicate the crop growth environment; determining the target planting area based on the longitude and latitude information and querying the planting information of the target planting area, where the planting information includes crop variety, planting time, and management objectives; determining the crop growth stage of the crop variety by combining the current time and the planting time, and determining the growth feedback information based on the environmental monitoring information, the crop growth stage, and the management objectives; where the growth feedback information is used to indicate the adjustment method of the crop planting decision.

[0076] In addition, when the logical instructions in the above-mentioned memory 330 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0077] On the other hand, the present invention also provides a computer program product. The computer program product includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the multi-scenario production environment data collection method provided by the above-mentioned various methods. The method includes: obtaining the longitude and latitude information of a monitoring device and scenario monitoring information, where the scenario monitoring information is used to indicate the crop growth environment; determining a target planting area based on the longitude and latitude information, and querying the planting information of the target planting area, where the planting information includes crop varieties, planting times, and management objectives; combining the current time and the planting time to determine the crop growth stage of the crop variety, and determining growth feedback information based on the environmental monitoring information, the crop growth stage, and the management objectives; where the growth feedback information is used to indicate the adjustment method of crop planting decisions.

[0078] On another aspect, the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it is implemented to execute the multi-scenario production environment data collection method provided by the above-mentioned various methods. The method includes: obtaining the longitude and latitude information of a monitoring device and scenario monitoring information, where the scenario monitoring information is used to indicate the crop growth environment; determining a target planting area based on the longitude and latitude information, and querying the planting information of the target planting area, where the planting information includes crop varieties, planting times, and management objectives; combining the current time and the planting time to determine the crop growth stage of the crop variety, and determining growth feedback information based on the environmental monitoring information, the crop growth stage, and the management objectives; where the growth feedback information is used to indicate the adjustment method of crop planting decisions.

[0079] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. A person of ordinary skill in the art can understand and implement it without creative work.

[0080] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0081] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for collecting data in a multi-scenario production environment, characterized in that, including: Obtain the longitude and latitude information and scene monitoring information of the monitoring device, where the scene monitoring information is used to indicate the crop growth environment; Determine the target planting area based on the longitude and latitude information, and query the planting information of the target planting area, where the planting information includes crop variety, planting time, and management objectives; Determine the crop growth stage of the crop variety by combining the current time and the planting time, and determine the growth feedback information according to the environmental monitoring information, the crop growth stage, and the management objectives; wherein, the growth feedback information is used to indicate the adjustment method of crop planting decisions.

2. The multi-scenario production environment data collection method according to claim 1, wherein The collection point corresponding to the monitoring device is determined according to the planting area characteristics, and the planting area characteristics include plot area, soil characteristics, terrain, and elevation.

3. The multi-scenario production environment data acquisition method according to claim 1 or 2, characterized in that Before obtaining the longitude and latitude information and scene monitoring information of the monitoring device, the method further includes: Determine the planting information and crop growth analysis type of the target planting area; Configure the information monitoring method of the monitoring device according to the planting information of the target planting area, and determine the monitoring information type according to the crop growth analysis type.

4. The multi-scenario production environment data collection method according to claim 1, characterized in that, After obtaining the longitude and latitude information and scene monitoring information of the monitoring device, the method further includes: Evaluate the connectivity performance of the transmission nodes through a channel model to obtain the evaluation results of multiple transmission paths, where the evaluation results are used to indicate the transmission speed and stability of the transmission paths; Determine the target transmission path from the multiple transmission paths according to the evaluation results, and transmit the scene monitoring information and the growth feedback information to the user terminal through the target transmission path.

5. The multi-scenario production environment data collection method according to claim 4, wherein, The presentation method of the scene monitoring information and the growth feedback information at the user terminal is determined by the user identity of the user terminal.

6. A multi-scenario production environment data acquisition device, characterized in that, including: An acquisition module and a processing module; The acquisition module is used to obtain the longitude and latitude information and scene monitoring information of the monitoring device, where the scene monitoring information is used to indicate the crop growth environment; The processing module is used to determine the target planting area based on the longitude and latitude information, and query the planting information of the target planting area, where the planting information includes crop variety, planting time, and management objectives; determine the crop growth stage of the crop variety by combining the current time and the planting time, and determine the growth feedback information according to the environmental monitoring information, the crop growth stage, and the management objectives; wherein, the growth feedback information is used to indicate the adjustment method of crop planting decisions.

7. The multi-scenario production environment data acquisition device according to claim 6, wherein, The collection point corresponding to the monitoring device is determined according to the planting area characteristics, and the planting area characteristics include plot area, soil characteristics, terrain, and elevation.

8. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the multi-scenario production environment data acquisition method according to any one of claims 1 to 5.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the multi-scenario production environment data acquisition method according to any one of claims 1 to 5.

10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the multi-scenario production environment data acquisition method according to any one of claims 1 to 5.

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