Mobile observation system and method for animal experiment based on mobile platform

Abstract

The invention provides a mobile observation system and method for an animal experiment based on a mobile platform, and belongs to the technical field of animal monitoring and control, and the system comprises a data analysis module which obtains and analyzes the characteristic data of the animal experiment, and determines a plurality of optimal arrangement points in an animal experiment area based on an analysis result; the observation deployment module is used for deploying a mobile observation terminal group at each optimal arrangement point and connecting all the mobile observation terminal groups so as to obtain a mobile observation network; the data acquisition module is used for acquiring animal experiment data based on a mobile observation network and transmitting the animal experiment data to a preset mobile platform; and the data transmission module is used for processing the animal experiment data based on the mobile platform and transmitting the processed data to an interactive interface of the mobile platform. And the monitoring efficiency and reliability of the animal experiment are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of animal monitoring and control, and particularly to a mobile observation system and method for animal experiments based on a mobile platform. Background Art

[0002] With the increasing importance of animal experiments in fields such as biology and medicine, the demand for real-time data collection and monitoring during the experimental process has gradually increased. Traditional animal experiment data collection usually relies on fixed monitoring devices. This method is difficult to cover the entire experimental area and cannot adapt to the free movement of animals during the experiment.

[0003] Traditional data collection relying on fixed devices, like rodent experiments, fixed cameras are difficult to cover large simulated sites, and key behaviors are often missed. The existing technology is to monitor based on a sensor network, which has obvious defects. Firstly, the device deployment lacks flexibility, and the selection of observation points has not been scientifically and finely optimized, resulting in the omission of data collection in some key areas or areas with high incidences of animal behaviors, thereby having a negative impact on the integrity and reliability of experimental data. Secondly, the processing of the collected data is not timely, and the interaction is also relatively lagged. Researchers are difficult to obtain the latest information in a timely manner and cannot make dynamic adjustments according to the real-time progress of the experiment, which severely restricts the real-time nature of experimental monitoring and makes the entire monitoring system difficult to meet the increasingly stringent monitoring requirements of complex animal experiments. For example, in canine pharmacological experiments, the layout does not consider animal preferences, the key area collection is poor, and the processing device has weak computing power and an old transmission protocol, with poor real-time performance. There is an urgent need for a new solution.

[0004] Therefore, the present invention provides a mobile observation system and method for animal experiments based on a mobile platform. Summary of the Invention

[0005] The present invention provides a mobile observation system and method for animal experiments based on a mobile platform, which is used to optimize the layout of observation points through a data analysis module, and construct a flexible mobile observation network in combination with an observation deployment module, realizing the efficient collection and transmission of animal experiment data. Based on the data processing and interaction functions of the mobile platform, the real-time nature and accuracy of experimental data are improved, overcoming the problems of inflexible layout of traditional fixed monitoring devices, incomplete data collection, and low transmission efficiency, and greatly improving the monitoring efficiency and reliability of animal experiments.

[0006] The present invention provides a mobile observation system for animal experiments based on a mobile platform, including:

[0007] A data analysis module: obtaining characteristic data of an animal experiment and analyzing it, and determining a number of optimal layout points within the animal experiment area based on the analysis results;

[0008] Observation Deployment Module: Deploy mobile observation terminal groups at each optimal deployment point, and connect all mobile observation terminal groups to obtain a mobile observation network;

[0009] Data Acquisition Module: Collect animal experiment data based on the mobile observation network and transmit the animal experiment data to a preset mobile platform;

[0010] Data Transmission Module: Process the animal experiment data based on the mobile platform and transmit the processed data to the interaction interface of the mobile platform.

[0011] Preferably, the data analysis module includes:

[0012] Historical Acquisition Unit: Acquire historical animal experiment data and determine the current experimental area coverage rate in combination with the preset experimental area coverage rate;

[0013] Range Determination Unit: Determine the observation range of the animal experiment area based on the current experimental area coverage rate;

[0014] Grid Division Unit: Divide the observation range of the animal experiment area into several basic grids based on a preset grid segmentation method;

[0015] Grid Analysis Unit: Determine several key reference points based on all basic grids;

[0016] Network Construction Unit: Construct a triangular network based on a preset algorithm and all key reference points;

[0017] Network Analysis Unit: Perform network analysis on the triangular network, screen the key reference points based on the network analysis results and historical animal experiment data, and then obtain several optimal deployment points.

[0018] Preferably, the historical acquisition unit includes:

[0019] Acquire historical animal experiment data and determine the current experimental area coverage rate in combination with the preset experimental area coverage rate:

[0020]

[0021] Where C c is the current experimental area coverage rate, A c is the actual area covered by the current experiment, A t is the total area of the experimental area, C p is the preset experimental area coverage rate, C1 is the preset conversion coefficient corresponding to the experimental area coverage rate, γ is the time decay coefficient, Δt is the time difference between the current time point and the start time of the experiment, A h,i is the coverage area of the i-th historical experiment, w i is the weight of the i-th historical experiment, wh is the importance weight of historical data, w p is the importance weight of preset experimental data, w r is the importance weight of historical trend adjustment.

[0022] Preferably, the observation deployment module includes:

[0023] The first connection unit: allocates corresponding time slots for each mobile observation terminal group based on a preset technology, and at the same time, makes a first connection for all mobile observation terminal groups based on a preset network algorithm, thereby determining several main links, and there are several mobile observation terminal groups on each main link;

[0024] The second connection unit: makes a second connection for the mobile observation terminal groups on each main link based on a preset backup link mechanism on each main link, thereby constructing several backup links;

[0025] The network determination unit: determines a mobile observation network based on all the main links and backup links.

[0026] Preferably, the preset network algorithm is a link state routing algorithm.

[0027] Preferably, the first connection unit includes:

[0028] The data analysis subunit: obtains the transmission characteristic data of each mobile observation terminal group, and thereby determines the time slot length of each mobile observation terminal group;

[0029] The sequence determination subunit: determines the real-time requirement of each mobile observation terminal group based on the animal experiment characteristic data, and thereby determines the time slot sequence of each mobile observation terminal group;

[0030] The time slot allocation subunit: allocates corresponding time slots for each mobile observation terminal group based on the time slot length and time slot sequence of each mobile observation terminal group through a preset technology;

[0031] The state determination subunit: determines the link state information of each mobile observation terminal group based on a preset network algorithm;

[0032] The information analysis subunit: constructs a topology graph of the experimental area network based on the link state information of all mobile observation terminal groups;

[0033] The path determination subunit: determines the optimal connection path based on the topology graph and a preset link selection strategy, and thereby makes a first connection for all mobile observation terminal groups, and thereby determines several main links.

[0034] Preferably, the data analysis subunit includes:

[0035] Obtain the transmission characteristic data of each mobile observation terminal group, and then determine the time slot length of each mobile observation terminal group:

[0036]

[0037] Among them, T k is the time slot length of the k-th mobile observation terminal group, D k is the data volume that the k-th mobile observation terminal group currently needs to transmit, R k is the link transmission rate of the k-th mobile observation terminal group, L k is the link quality factor of the k-th mobile observation terminal group, C k is the real-time demand factor of the k-th mobile observation terminal group, A k is the current packet loss rate of the k-th mobile observation terminal group, A1 k is the historical average packet loss rate of the k-th mobile observation terminal group, γ1 is the weight coefficient of the real-time demand, C j is the real-time demand factor of the j-th mobile observation terminal group other than the k-th mobile observation terminal group, w j is the weight coefficient of the j-th mobile observation terminal group other than the k-th mobile observation terminal group, N is the number of mobile observation terminal groups, H k is the data volume to be processed of the k-th mobile observation terminal group, H1 is the maximum data volume that the current network can process.

[0038] The present invention provides a mobile observation method for animal experiments based on a mobile platform, including:

[0039] Step 1: Obtain the characteristic data of the animal experiment and perform analysis, and determine several optimal layout points in the animal experiment area based on the analysis results;

[0040] Step 2: Deploy mobile observation terminal groups at each optimal layout point, and connect all mobile observation terminal groups to obtain a mobile observation network;

[0041] Step 3: Collect animal experiment data based on the mobile observation network and transmit the animal experiment data to a preset mobile platform;

[0042] Step 4: Process the animal experiment data based on the mobile platform and transmit the processed data to the interaction interface of the mobile platform.

[0043] Compared with the prior art, the beneficial effects of the present application are as follows:

[0044] By optimizing the layout of observation points through the data analysis module and constructing a flexible mobile observation network in combination with the observation deployment module, the efficient collection and transmission of animal experiment data are achieved. Based on the data processing and interaction functions of the mobile platform, the real-time performance and accuracy of the experimental data are improved, overcoming the problems of inflexible layout of traditional fixed monitoring devices, incomplete data collection, and low transmission efficiency, and greatly improving the monitoring efficiency and reliability of animal experiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] 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 the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0046] Figure 1 FIG. is a schematic structural diagram of a mobile observation system for animal experiments based on a mobile platform provided by an embodiment of the present invention.

[0047] Figure 2 FIG. is a schematic flow chart of a mobile observation method for animal experiments based on a mobile platform provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0048] To make the objectives, technical solutions, and advantages of the present invention clearer, the following will clearly and completely describe the technical solutions in the present invention in conjunction with the drawings in the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments in the present invention belong to the scope of protection of the present invention.

[0049] Embodiment 1:

[0050] An embodiment of the present invention provides a mobile observation system for animal experiments based on a mobile platform, as Figure 1 shown, including:

[0051] Data analysis module: Obtain the characteristic data of animal experiments and perform analysis, and determine a number of optimal layout points within the animal experiment area based on the analysis results;

[0052] Observation deployment module: Deploy a mobile observation terminal group at each optimal layout point and connect all the mobile observation terminal groups to obtain a mobile observation network;

[0053] Data collection module: Collect animal experiment data based on the mobile observation network and transmit the animal experiment data to a preset mobile platform;

[0054] Data Transmission Module: Process animal experiment data based on a mobile platform and transmit the processed data to the interactive interface of the mobile platform.

[0055] In this embodiment, the mobile platform is the core hub and data processing center of the entire system. In terms of hardware composition, it usually carries a high-performance processor, such as a multi-core CPU or GPU, with powerful computing capabilities, capable of quickly processing a large amount of animal experiment data from each mobile observation terminal group. In terms of software, the mobile platform runs a specially customized animal experiment monitoring software suite. On the one hand, it has advanced data analysis algorithms built-in, such as an animal behavior recognition model based on deep learning, which can accurately distinguish various behaviors of animals, such as eating, sleeping, fighting, etc.; a sound emotion analysis module combining wavelet transform and hidden Markov model, which can accurately judge the emotional state of animals; and a comprehensive evaluation system for animal survival status using fuzzy logic reasoning, which comprehensively considers multiple factors such as environment, behavior, and emotion to give accurate evaluations. On the other hand, it has a convenient interactive function software. Through the visualization interface, researchers can understand the experimental dynamics in real time in the form of intuitive charts (such as line charts showing the change of environmental parameters over time, bar charts comparing the behavior frequencies of different animal individuals) and 3D models (immersively showing the behavior trajectories of animals in the experimental area), and can also remotely control the observation terminals, such as adjusting the image acquisition resolution, frame rate, and turning on or off specific acquisition modules to achieve flexible control of the experimental process. In terms of connection function, as a data aggregation center, the mobile platform establishes stable and reliable two-way connections with each mobile observation terminal group through wireless communication technologies (such as high-speed Wi-Fi, 5G, etc.), ensuring real-time data upload while also quickly sending control instructions to the terminals. It also has external interfaces reserved to facilitate data interaction and collaborative work with other devices in the laboratory (such as data storage servers, experimental auxiliary analysis software), providing strong support for the all-round and intelligent monitoring of animal experiments and being an essential key part for the efficient operation of the entire mobile observation system.

[0056] In this embodiment, the optimal layout points are several key positions obtained through analysis and calculation based on the characteristic data within the animal experiment area (such as the activity range, density distribution, behavior habits of animals, etc.).

[0057] In this embodiment, the mobile observation terminal group refers to the collection of multiple sensor devices or monitoring devices deployed at each optimal layout point. These terminal groups can include video surveillance devices, infrared sensors, biometric recorders (such as heart rate, temperature sensors), etc., for comprehensively collecting animal behavior, physiological, or environmental data. For example:

[0058] In a pasture experiment observing a herd of cattle, a mobile observation terminal group is deployed at each optimal layout point. The terminal group includes: a GPS positioning device for tracking the movement of cattle; a temperature and humidity sensor for recording environmental data; and a camera for monitoring the behavior of cattle.

[0059] In this embodiment, the mobile observation network is a dynamic network composed of all mobile observation terminal groups through wireless communication technologies (such as Wi-Fi, Zigbee, or 5G). This network is used to aggregate the data collected by each observation terminal to the mobile platform and support real-time communication and data transmission. For example, in a monitoring experiment of bird migration, the observation terminals at each optimal layout point are connected through a Zigbee network to form a mobile observation network, and the collected migration behavior data and climate information are transmitted to the experimental command center to achieve real-time monitoring and data sharing.

[0060] In this embodiment, the preset mobile platform is the core processing and interaction device of the system, usually a portable or mobile device capable of receiving, processing, and displaying data. It can be a drone, a mobile experimental vehicle, a smart mobile terminal (such as a tablet computer or a server), etc. The mobile platform is responsible for connecting to the observation network, executing data processing algorithms, and providing a user interface for researchers to view the experimental results in real time. For example, when observing the activities of wolves, the preset mobile platform can be an experimental vehicle equipped with a signal receiver and a data processing terminal. The mobile platform in the vehicle receives the data from the observation network in real time (such as the activity paths and behavior videos of wolves) and displays them on the screen through data analysis software for researchers to refer to and adjust the experimental strategy.

[0061] The beneficial effects of the above technical solution: By optimizing the layout of observation points through the data analysis module and constructing a flexible mobile observation network in combination with the observation deployment module, the efficient collection and transmission of animal experiment data are realized. Based on the data processing and interaction functions of the mobile platform, the real-time performance and accuracy of experimental data are improved, overcoming the problems of inflexible layout of traditional fixed monitoring devices, incomplete data collection, and low transmission efficiency, and greatly improving the monitoring efficiency and reliability of animal experiments.

[0062] Embodiment 2:

[0063] The embodiment of the present invention provides a mobile observation system for animal experiments based on a mobile platform, which is characterized in that the data analysis module includes:

[0064] Historical acquisition unit: Acquire historical animal experiment data and determine the current experimental area coverage rate in combination with the preset experimental area coverage rate;

[0065] Range determination unit: Determine the observation range of the animal experiment area based on the current experimental area coverage rate;

[0066] Mesh division unit: Divide the observation range of the animal experiment area into several basic meshes based on a preset mesh segmentation method;

[0067] Mesh analysis unit: Determine several key reference points based on all the basic meshes;

[0068] Network construction unit: Construct a triangular network based on a preset algorithm and all the key reference points;

[0069] Network analysis unit: Conduct network analysis on the triangular network, screen the key reference points based on the network analysis results and historical animal experiment data, and then obtain several optimal layout points.

[0070] In this embodiment, the preset experimental area coverage rate: refers to the proportion (usually expressed as a percentage) that the monitoring equipment is expected to cover the target area during the experimental design. This is the theoretical coverage standard set at the initial stage of the experiment;

[0071] In this embodiment, the current experimental area coverage rate: refers to the actual coverage degree of the experimental area by the observation equipment after the actual deployment of the observation terminal, usually evaluated by the effectiveness of the collected data. If the current coverage rate is lower than the preset coverage rate, it is necessary to further optimize the layout points or increase the equipment. For example, when studying the activities of hares on a 100-square-meter grassland, the experimental target hopes to cover 80% of the entire area, that is, the preset experimental area coverage rate is 80%. After deploying the observation terminal, through the analysis of the monitoring data, it is found that only 60% of the area is covered, and the current experimental area coverage rate is 60%. At this time, the system will prompt that it is necessary to optimize the deployment or increase the equipment.

[0072] In this embodiment, the preset mesh segmentation method is a method for dividing the experimental area, which is used to divide the experimental area into several basic meshes. The division method usually depends on the experimental objectives and regional characteristics, such as square meshes, triangular meshes or irregular meshes, etc. The size of the mesh determines the monitoring fineness. Smaller meshes are suitable for high-precision monitoring, while larger meshes are suitable for covering large areas. For example, in the experiment of studying bird activities, the square mesh segmentation method was selected to divide a 1000-square-meter experimental area into 10×10 square meshes (each mesh area is 10 square meters). In another grassland monitoring experiment, due to the complex terrain, the triangular mesh segmentation method was adopted to adapt to the irregular regional shape.

[0073] In this embodiment, the key reference points are points with high representativeness or importance selected from the basic grid after grid division. These points are usually determined based on historical data analysis, the distribution of hot spots of animal activities, or specific experimental requirements, and are used to optimize the layout of the observation terminals to reduce monitoring blind spots. For example, in an experiment, it is found through grid division that the activities of animals are mainly concentrated in three basic grid areas (such as near water sources, near tree groves, and open areas). By analyzing the data of these grids, three key reference points are selected: the center point of the water source, the edge point of the tree grove, and the center point of the open area. Subsequently, an observation terminal group is deployed at these key reference points to collect data more accurately.

[0074] Beneficial effects of the above technical solution: By combining historical data with real-time coverage rate, the observation range is dynamically determined, and the grid division and triangular network construction are used to optimize the screening method of key reference points, improving the scientific nature of the layout points and the monitoring efficiency. Using network analysis and historical trend adjustment to ensure the reliability and accuracy of the observation in the network, overcoming the blindness and insufficient coverage in traditional layouts, and realizing the efficient monitoring and data collection of the animal experiment area. Compared with the prior art, this embodiment optimizes from multiple aspects such as the comprehensiveness of data collection, the advancement of the algorithm, and the self-adaptability of grid division and network construction, forming a complete and efficient technical solution, effectively solving the technical problems that the present invention aims to overcome, and providing strong support for the accurate observation of animal experiments.

[0075] Embodiment 3:

[0076] An animal experiment mobile observation system based on a mobile platform provided by an embodiment of the present invention is characterized in that the historical acquisition unit includes:

[0077] Obtain historical animal experiment data and determine the current experimental area coverage rate in combination with the preset experimental area coverage rate:

[0078]

[0079] Where C c is the current experimental area coverage rate, A c is the actual area covered by the current experiment, A t is the total area of the experimental area, C p is the preset experimental area coverage rate, C1 is the preset conversion coefficient corresponding to the experimental area coverage rate, γ is the time decay coefficient, Δt is the time difference between the current time point and the start time of the experiment, A h,i is the coverage area of the i-th historical experiment, w i is the weight of the i-th historical experiment, w h is the importance weight of the historical data, w p is the importance weight of the preset experimental data, w rThe importance weight adjusted for historical trends.

[0080] In this embodiment, is the dynamic adjustment coverage rate of historical experimental data;

[0081] In this embodiment, the importance weight of historical trend adjustment (represented by the symbol in the formula) is a weight factor used to measure the impact degree of trend changes in historical data on the coverage rate of the current experimental area. When analyzing historical experimental data, it reflects the trend of experimental area coverage changing over time by adjusting the weight, and combines the current experimental conditions for prediction and optimization. The size of this weight can be dynamically adjusted according to the time rules of animal activities in the experimental area (such as seasonal migration, diurnal activities, etc.) to ensure the accuracy of the prediction model.

[0082] The beneficial effects of the above technical solution: By obtaining historical animal experimental data, introducing a delicate formula and combining with the preset experimental area coverage rate to determine the current experimental area coverage rate, fully considering factors such as the actual area of the current experiment coverage, the historical experiment coverage area and its weight, and the historical trend adjustment weight. With the importance weight of historical trend adjustment, dynamically optimize the weight according to the time rules of animal activities, accurately reflect the changing trend of experimental area coverage over time, thus solving the technical defect of inaccurate determination of experimental area coverage rate in the prior art, providing a solid basis for subsequent scientific and reasonable planning of observation points and optimizing the observation layout, and greatly improving the scientificity and effectiveness of animal experiment monitoring.

[0083] Example 4:

[0084] The embodiment of the present invention provides a mobile observation system for animal experiments based on a mobile platform. The observation deployment module includes:

[0085] The first connection unit: Allocate corresponding time slots for each group of mobile observation terminals based on a preset technology. At the same time, perform the first connection for all groups of mobile observation terminals based on a preset network algorithm, and then determine several main links. There are several groups of mobile observation terminals on each main link;

[0086] The second connection unit: Perform the second connection for the groups of mobile observation terminals on each main link based on a preset backup link mechanism on each main link, and then construct several backup links;

[0087] The network determination unit: Determine the mobile observation network based on all the main links and backup links.

[0088] In this embodiment, the preset technology refers to a technical method for allocating time slots or connection resources to a group of mobile observation terminals, ensuring that all terminal groups can efficiently and orderly transmit data according to rules. Common preset technologies include Time Division Multiple Access (TDMA) or Frequency Division Multiple Access (FDMA), which are used to avoid communication conflicts and interference between terminals. For example, in a forest experiment, to monitor animal activities in multiple regions, a group of mobile observation terminals is allocated specific communication time slots through TDMA technology. Suppose there are 5 terminal groups, which are respectively allocated time slot numbers from 1 to 5, and the terminal groups transmit data during the corresponding time periods, avoiding data transmission conflicts.

[0089] In this embodiment, the main link refers to the main communication path connecting each terminal group in the mobile observation network, which is used to ensure the efficient transmission of observation data. The selection of the main link is usually based on a preset network algorithm, and the best data transmission link is determined by optimizing the path (such as the shortest path, low latency, etc.). For example, when monitoring a grassland, 5 mobile observation terminal groups (A, B, C, D, E) are connected in sequence through the main link, forming a link structure of A→B→C→D→E, where A is the starting node connected to the mobile platform, and other terminal groups sequentially transmit data to the platform through the main link. The path of the main link gives priority to signal strength and the shortest distance.

[0090] In this embodiment, the pre - established backup link mechanism refers to establishing an additional backup path for each main link so that when the main link fails or is interrupted, it can automatically switch to the backup link to ensure the reliability and fault tolerance of the network. The selection of the backup link is usually based on network redundancy algorithms (such as the minimum spanning tree or multi - path algorithm). Continuing with the grassland experiment example, in the main link A→B→C→D→E, if the main link C→D fails, the system automatically switches to the pre - constructed backup link C→E, ensuring that data can still be transmitted through C→E to terminal E and uploaded to the mobile platform.

[0091] The beneficial effects of the above - mentioned technical solutions: By based on preset technologies and network algorithms, time slots are allocated to each mobile observation terminal group and the main link is established, ensuring the efficiency and stability of data transmission. The backup link mechanism provides automatic switching protection when the main link fails, enhancing the network fault - tolerance ability. It is possible to construct an efficient and stable mobile observation network based on the comprehensive design of the main link and the backup link, ensuring the reliable collection and transmission of animal experiment data, and optimizing the communication efficiency and robustness in the experimental environment.

[0092] Embodiment 5:

[0093] The embodiment of the present invention provides a mobile observation system for animal experiments based on a mobile platform. The first connection unit includes:

[0094] Data analysis subunit: Obtain the transmission characteristic data of each mobile observation terminal group, and then determine the time slot length of each mobile observation terminal group;

[0095] Sequential determination subunit: Determine the real-time requirement of each mobile observation terminal group based on the animal experiment characteristic data, and then determine the time slot sequence of each mobile observation terminal group;

[0096] Time slot allocation subunit: Allocate corresponding time slots to each mobile observation terminal group based on the time slot length and time slot sequence of each mobile observation terminal group through a preset technology;

[0097] Status determination subunit: Determine the link status information of each mobile observation terminal group based on a preset network algorithm;

[0098] Information analysis subunit: Construct a topology map of the experimental area network based on the link status information of all mobile observation terminal groups;

[0099] Path determination subunit: Determine the optimal connection path based on the topology map and a preset link selection strategy, and then make a first connection for all mobile observation terminal groups, and then determine several main links.

[0100] In this embodiment, the real-time requirement refers to the priority processing level required by each mobile observation terminal group according to the urgency of its task or the time sensitivity of data transmission. Terminal groups with high real-time requirements need shorter delays and are preferentially allocated time slots to ensure the timely transmission of data. For example, in animal experiments, some terminal groups monitor physiological data such as the heartbeat and breathing of animals (such as terminal group A), which need to be transmitted in real time and have high real-time requirements; while other terminal groups only monitor environmental temperature and humidity (such as terminal group B), which are not sensitive to time delay and have lower real-time requirements. Therefore, the system will preferentially allocate time slots to terminal group A to ensure the timeliness of key data;

[0101] In this embodiment, the time slot sequence refers to the transmission sequence in which each mobile observation terminal group is allocated to a time slot according to its real-time requirement. Terminal groups with high real-time requirements are allocated to the front time slots, and those with low requirements are arranged in subsequent time slots. For example, assume there are 3 terminal groups: Terminal group A: Monitors animal physiological data and has high real-time requirements. Terminal group B: Monitors animal activity behavior and has medium real-time requirements. Terminal group C: Monitors environmental data and has low real-time requirements. The time slot sequence allocated by the system is A→B→C to ensure that the data of terminal group A is transmitted most preferentially.

[0102] In this embodiment, the link state information refers to the current state of the link connecting each mobile observation terminal group, including the bandwidth, delay, packet loss rate, signal strength, etc. of the link. By analyzing the link state information, the performance of the link can be evaluated, and the optimal path can be selected according to a preset algorithm. For example, assume that terminal groups A, B, and C are respectively connected to the mobile platform, and there is the following link state information: A→platform: delay 5ms, bandwidth 10Mbps, packet loss rate 0.1%. B→platform: delay 10ms, bandwidth 8Mbps, packet loss rate 0.3%. C→platform: delay 15ms, bandwidth 6Mbps, packet loss rate 0.5%.

[0103] Beneficial effects of the above technical solution: By allocating time slots and establishing a main link for each mobile observation terminal group based on a preset technology and network algorithm, the efficiency and stability of data transmission are ensured. The backup link mechanism provides automatic switching protection in case of main link failure, improving the network fault tolerance ability. Existing technologies such as fixed monitoring devices cannot adapt to animal activities, the sensor network deployment is rigid, and data processing is not timely. However, the first connection unit in this embodiment operates through the cooperation of multiple subunits: the data analysis subunit accurately grasps the transmission characteristics to determine the time slot length; the sequence determination subunit clarifies the time slot sequence according to the experimental characteristics; the time slot allocation subunit reasonably allocates time slots; the state determination and information analysis subunit masters the link state to construct a topology map; the path determination subunit selects the optimal connection path. It comprehensively considers the data transmission timeliness and link performance, realizes the efficient and orderly connection of the mobile observation terminal group, constructs a stable main link, and greatly improves the timeliness and reliability of animal experiment data collection and transmission.

[0104] Embodiment 6:

[0105] An embodiment of the present invention provides a mobile observation system for animal experiments based on a mobile platform. The data analysis subunit includes:

[0106] Obtain the transmission characteristic data of each mobile observation terminal group, and then determine the time slot length of each mobile observation terminal group:

[0107]

[0108] where T k is the time slot length of the k-th mobile observation terminal group, D k is the amount of data that the k-th mobile observation terminal group currently needs to transmit, R k is the link transmission rate of the k-th mobile observation terminal group, L k is the link quality factor of the k-th mobile observation terminal group, C k is the real-time requirement factor of the k-th mobile observation terminal group, A k is the current packet loss rate of the k-th mobile observation terminal group, and A1 kis the historical average packet loss rate of the k-th mobile observation terminal group, γ1 is the weight coefficient of the real-time requirement, C j is the real-time requirement factor of the j-th mobile observation terminal group other than the k-th mobile observation terminal group, w j is the weight coefficient of the j-th mobile observation terminal group other than the k-th mobile observation terminal group, N is the number of mobile observation terminal groups, H k is the amount of data to be processed by the k-th mobile observation terminal group, and H1 is the maximum amount of data that the current network can process.

[0109] In this embodiment, the link quality factor reflects the link performance of the mobile observation terminal group, including the comprehensive performance of factors such as delay, packet loss rate, and bandwidth. It is used to quantify the stability and reliability of the link. The higher the link quality factor, the better the transmission link of the terminal group;

[0110] In this embodiment, the real-time requirement factor represents the intensity of the mobile observation terminal group's demand for data transmission timeliness, which is usually related to the importance and time sensitivity of the task. The higher the real-time requirement factor, the faster the transmission is required for this terminal group, and the slot length should be adjusted accordingly.

[0111] Beneficial effects of the above technical solution: By deeply optimizing the layout of observation points through the data analysis module and closely combining with the observation deployment module to construct an extremely flexible mobile observation network, the efficient acquisition and transmission of animal experiment data are realized in all aspects. With the data processing and interaction functions based on the mobile platform, the real-time performance and accuracy of experimental data are greatly improved, completely overcoming the problems of inflexible layout of traditional fixed monitoring devices, incomplete data collection, and low transmission efficiency. Compared with the prior art, the beneficial effects of this embodiment are significant. There are many drawbacks in traditional fixed devices and simple sensor networks. The former cannot cover the entire area of animal activities, and the latter has poor observation points and lagging data processing. However, the data analysis subunit of this embodiment determines the slot length by accurately obtaining transmission characteristic data, fully considering link performance and real-time requirements, realizes efficient data acquisition and transmission, and improves the real-time performance and reliability of monitoring.

[0112] Embodiment 7:

[0113] An embodiment of the present invention provides a mobile observation method for animal experiments based on a mobile platform, as Figure 2 shown, including:

[0114] Step 1: Obtain the characteristic data of the animal experiment and analyze it, and determine several optimal layout points in the animal experiment area based on the analysis results;

[0115] Step 2: Deploy mobile observation terminal groups at each optimal layout point, and connect all mobile observation terminal groups to obtain a mobile observation network;

[0116] Step 3: Collect animal experiment data based on the mobile observation network, and transmit the animal experiment data to a preset mobile platform;

[0117] Step 4: Process the animal experiment data based on the mobile platform, and transmit the processed data to the interaction interface of the mobile platform.

[0118] Beneficial effects of the above technical solution: By optimizing the layout of observation points through the data analysis module and constructing a flexible mobile observation network in combination with the observation deployment module, efficient collection and transmission of animal experiment data are achieved. Based on the data processing and interaction functions of the mobile platform, the real-time performance and accuracy of the experimental data are improved, overcoming the problems of inflexible layout of traditional fixed monitoring devices, incomplete data collection, and low transmission efficiency, and greatly improving the monitoring efficiency and reliability of animal experiments.

[0119] 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 cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A mobile observation system for animal experiments based on a mobile platform, characterized in that: include: Data analysis module: obtains and analyzes the characteristic data of animal experiments, and determines several optimal layout points in the animal experiment area based on the analysis results; Observation deployment module: deploys a mobile observation terminal group at each optimal layout point, and connects all mobile observation terminal groups to obtain a mobile observation network; Data collection module: collects animal experiment data based on the mobile observation network and transmits the animal experiment data to the preset mobile platform; Data transmission module: Process animal experiment data based on the mobile platform and transmit the processed data to the interactive interface of the mobile platform.

2. The mobile observation system for animal experiments based on a mobile platform according to claim 1, characterized in that: Data analysis modules, including: History acquisition unit: acquires historical animal experiment data and determines the current experimental area coverage rate in combination with the preset experimental area coverage rate; Range determination unit: determines the observation range of the animal experimental area based on the current experimental area coverage; Grid division unit: divides the observation range of the animal experiment area into several basic grids based on the preset grid segmentation method; Grid analysis unit: Determine several key reference points based on all basic grids; Network construction unit: constructs triangulated network based on preset algorithms and all key reference points; Network analysis unit: Perform network analysis on the triangular network, screen key reference points based on the network analysis results and historical animal experimental data, and then obtain several optimal layout points.

3. The mobile observation system for animal experiments based on a mobile platform according to claim 2, characterized in that: History acquisition unit, including: Obtain historical animal experiment data and determine the current experimental area coverage rate based on the preset experimental area coverage rate: Among them, C c is the current experimental area coverage, A c is the actual area covered by the current experiment, A t is the total area of ​​the experimental area, C p is the preset experimental area coverage, C1 is the preset conversion coefficient corresponding to the experimental area coverage, γ is the time attenuation coefficient, Δt is the time difference between the current time point and the start time of the experiment, and A h,i is the coverage area of ​​the i-th historical experiment, w i The weight of the i-th historical experiment, w h is the importance weight of historical data, w p is the importance weight of the preset experimental data, w r Importance weights adjusted for historical trends.

4. The mobile observation system for animal experiments based on a mobile platform according to claim 1, characterized in that: Observation deployment module, including: A first connection unit: allocates a corresponding time slot to each mobile observation terminal group based on a preset technology, and at the same time, all mobile observation terminal groups perform a first connection based on a preset network algorithm, thereby determining a number of main links, each of which has a number of mobile observation terminal groups; A second connection unit: performing a second connection on each main link to the mobile observation terminal group on each main link based on a preset backup link mechanism, thereby constructing a plurality of backup links; Network determination unit: determines the mobile observation network based on all main links and backup links.

5. The mobile observation system for animal experiments based on a mobile platform according to claim 4, characterized in that: The default network algorithm is the link state routing algorithm.

6. The mobile observation system for animal experiments based on a mobile platform according to claim 4, characterized in that: The first connection unit comprises: Data analysis subunit: obtaining transmission characteristic data of each mobile observation terminal group, and then determining the time slot length of each mobile observation terminal group; Sequence determination subunit: determines the real-time requirements of each mobile observation terminal group based on the animal experiment characteristic data, and then determines the time slot sequence of each mobile observation terminal group; Time slot allocation subunit: allocates corresponding time slots to each mobile observation terminal group based on the time slot length and time slot sequence of each mobile observation terminal group through a preset technology; State determination subunit: determines link state information of each mobile observation terminal group based on a preset network algorithm; Information analysis subunit: constructs a topology map of the experimental area network based on the link status information of all mobile observation terminal groups; Path determination subunit: determines the optimal connection path based on the topology map and the preset link selection strategy, and then first connects all mobile observation terminal groups, and then determines several main links.

7. The mobile observation system for animal experiments based on a mobile platform according to claim 6, characterized in that: Data analysis subunit, including: Acquire the transmission characteristic data of each mobile observation terminal group, and then determine the time slot length of each mobile observation terminal group: Among them, T k is the time slot length of the kth mobile observation terminal group, D k is the amount of data that the kth mobile observation terminal group currently needs to transmit, R k is the link transmission rate of the kth mobile observation terminal group, L k is the link quality factor of the kth mobile observation terminal group, C k is the real-time demand factor of the kth mobile observation terminal group, A k is the current packet loss rate of the kth mobile observation terminal group, A1 k is the historical average packet loss rate of the kth mobile observation terminal group, γ1 is the weight coefficient of the real-time requirement, C j is the real-time demand factor of the jth mobile observation terminal group except the kth mobile observation terminal group, w j is the weight coefficient of the jth mobile observation terminal group except the kth mobile observation terminal group, N is the number of mobile observation terminal groups, H k is the amount of data to be processed by the kth mobile observation terminal group, and H1 is the maximum amount of data that can be processed by the current network.

8. A mobile observation method for animal experiments based on a mobile platform, characterized in that: include: Step 1: Obtain and analyze the characteristic data of the animal experiment, and determine several optimal layout points in the animal experiment area based on the analysis results; Step 2: deploy a mobile observation terminal group at each optimal layout point, and connect all mobile observation terminal groups to obtain a mobile observation network; Step 3: Collect animal experiment data based on the mobile observation network and transmit the animal experiment data to the preset mobile platform; Step 4: Process the animal experiment data based on the mobile platform and transmit the processed data to the interactive interface of the mobile platform.

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