A harmful gas monitoring system and method for a breeding farm

Abstract

The present invention discloses a harmful gas monitoring system and method for a farm. The system includes: a distributed gas monitoring module, a sensor control module, a data analysis module, and an alarm module. The distributed gas monitoring module is used to obtain gas concentration data in the monitoring area in real time. The sensor control module acquires a key monitoring area based on animal aggregation behavior and controls the operation of gas sensors arranged in the key monitoring area. The data analysis module is used to construct a harmful gas evaluation model and analyze the gas concentration data by using the harmful gas evaluation model to obtain a harmful gas evaluation result. The alarm module issues an alarm when the harmful gas evaluation result is abnormal. The present invention realizes distributed anomaly detection, which not only improves the accuracy and real-time performance of gas monitoring, but also significantly reduces power consumption and data transmission volume, realizing the intelligent and efficient management of the farm environment monitoring.

Description

Technical Field

[0001] The present invention belongs to the technical field of aquaculture monitoring, and particularly relates to a harmful gas monitoring system and method for a farm. Background Art

[0002] There are various harmful gases in a farm, such as ammonia, hydrogen sulfide, etc. Exceeding the standard for a long time will endanger the health of animals and affect the aquaculture efficiency. To monitor the change of gas concentration in real time, a large number of gas sensors need to be deployed in the farm, and data acquisition and wireless transmission devices need to be equipped. However, the continuous operation of a large-scale sensor network will consume a large amount of electric energy, increasing the electricity burden of the farm. If the sampling frequency of the sensors and the data reporting period are reduced, it is difficult to ensure the real-time and accuracy of the gas concentration. At the same time, the temperature and humidity change violently in a complex aquaculture environment, posing high requirements for the measurement stability of the sensors and the protection level of the devices, further increasing the energy consumption. The centralized data processing mode also faces the energy efficiency bottleneck of massive data backhaul. How to minimize the energy consumption of the entire system while meeting the real-time and accuracy of gas monitoring, optimize the sensor location selection scheme and data processing architecture is a key technical problem that needs to be solved urgently. Summary of the Invention

[0003] The present invention aims to solve the deficiencies of the prior art and provides the following solutions:

[0004] A harmful gas monitoring system for a farm, comprising: a distributed gas monitoring module, a sensor control module, a data analysis module and an alarm module;

[0005] The distributed gas monitoring module is used to obtain the gas concentration data in the monitoring area in real time;

[0006] The sensor control module obtains the key monitoring area based on the animal aggregation behavior and controls the operation of the gas sensors arranged in the key monitoring area;

[0007] The data analysis module is used to construct a harmful gas evaluation model and analyze the gas concentration data by using the harmful gas evaluation model to obtain a harmful gas evaluation result;

[0008] The alarm module issues an alarm when the harmful gas evaluation result is abnormal.

[0009] Preferably, the distributed gas monitoring module comprises a plurality of infrared photoacoustic spectroscopy gas detectors;

[0010] A plurality of the infrared photoacoustic spectroscopy gas detectors are arranged in the farm according to the historical animal aggregation areas, and the infrared photoacoustic spectroscopy gas detectors are used to obtain the gas concentration data in the monitored area in real time;

[0011] The gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

[0012] Preferably, the sensor control module includes: an image acquisition unit, a monitoring area analysis unit, and a sensor control unit;

[0013] The image acquisition unit is used to obtain video data of animal aggregation behavior;

[0014] The monitoring area analysis unit constructs an aggregation behavior analysis model based on the historical animal aggregation area and historical animal movement video data, and analyzes the animal behavior trajectory based on the animal aggregation behavior video data to obtain the key monitoring area;

[0015] The sensor control unit is used to obtain the key monitoring area and control the infrared photoacoustic spectroscopy gas detectors within and outside the key monitoring area to start working.

[0016] Preferably, the data analysis module includes: a model construction unit and a gas analysis unit;

[0017] The model construction unit is used to obtain historical gas concentration data and construct the harmful gas evaluation model based on the historical gas concentration data:

[0018]

[0019] where S represents the harmful gas evaluation result, m represents the number of working infrared photoacoustic spectroscopy gas detectors, V n represents the concentration of the harmful gas detected by the nth infrared photoacoustic spectroscopy gas detector, F n represents the volatility of the monitoring result of the nth infrared photoacoustic spectroscopy gas detector, V s represents the safe concentration of the harmful gas;

[0020] The gas analysis unit analyzes the gas concentration data by using the harmful gas evaluation model to obtain the harmful gas evaluation result.

[0021] The present invention also provides a method for monitoring harmful gases in a farm, and the monitoring method is applied to the monitoring system described in any one of the above, and includes the following steps:

[0022] S1. Obtain the gas concentration data in the monitoring area in real time;

[0023] S2. Obtain the key monitoring area based on animal aggregation behavior and control the operation of the gas sensors arranged in the key monitoring area;

[0024] S3. Construct a harmful gas evaluation model, and analyze the gas concentration data by using the harmful gas evaluation model to obtain a harmful gas evaluation result;

[0025] S4. Issue an alarm when the harmful gas evaluation result is abnormal.

[0026] Preferably, a number of infrared photoacoustic spectroscopy gas detectors are arranged in the farm according to the historical animal gathering areas, and the infrared photoacoustic spectroscopy gas detectors are used to obtain the gas concentration data in the monitored area in real time;

[0027] The gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

[0028] Preferably, the S2 includes:

[0029] Obtain animal gathering behavior video data;

[0030] Construct an aggregation behavior analysis model based on the historical animal gathering areas and historical animal movement video data, and analyze the animal behavior trajectories based on the animal gathering behavior video data to obtain the key monitoring areas;

[0031] Obtain the key monitoring areas, and control the infrared photoacoustic spectroscopy gas detectors in and outside the key monitoring areas to start working.

[0032] Preferably, the S3 includes:

[0033] Obtain historical gas concentration data, and construct the harmful gas evaluation model based on the historical gas concentration data:

[0034]

[0035] where S represents the harmful gas evaluation result, m represents the number of working infrared photoacoustic spectroscopy gas detectors, V n represents the concentration of harmful gas detected by the nth infrared photoacoustic spectroscopy gas detector, F n represents the volatility of the monitoring result of the nth infrared photoacoustic spectroscopy gas detector, V s represents the safe concentration of harmful gas;

[0036] Analyze the gas concentration data by using the harmful gas evaluation model to obtain the harmful gas evaluation result.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] The present invention selects gas sensors with low power consumption and high sensitivity according to the characteristics of the farm, analyzes the animal aggregation areas based on animal aggregation behavior to control the operation of the sensors around the aggregation areas, dynamically adjusts the gas sampling and monitoring areas, and other sensors can be set to sleep, realizing distributed anomaly detection. This not only improves the accuracy and real-time performance of gas monitoring, but also significantly reduces power consumption and data transmission volume, achieving intelligent and efficient management of the farm environment monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0040] Figure 1 It is a schematic structural diagram of the system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0041] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0042] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0043] Embodiment 1

[0044] In this embodiment, as Figure 1 shown, a harmful gas monitoring system for a farm includes: a distributed gas monitoring module, a sensor control module, a data analysis module, and an alarm module.

[0045] The distributed gas monitoring module is used to obtain gas concentration data in the monitoring area in real time.

[0046] The distributed gas monitoring module includes a number of infrared photoacoustic spectroscopy gas detectors; a number of infrared photoacoustic spectroscopy gas detectors are set in the farm according to the historical animal aggregation areas, and the infrared photoacoustic spectroscopy gas detectors are used to obtain gas concentration data in the monitored area in real time; the gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

[0047] In this embodiment, the infrared photoacoustic spectroscopy gas detector selects the INNOVA 1512 infrared photoacoustic spectroscopy gas detector, and installs the filter according to the characteristics of ammonia and hydrogen sulfide. Up to five filters (plus a water vapor filter) can be installed. The INNOVA 1512 infrared photoacoustic spectroscopy gas detector compensates for temperature, pressure changes, the concentration of water vapor, and the interference of other known co-existing gases to ensure accurate and reliable measurement results. The INNOVA 1512 infrared photoacoustic spectroscopy gas detectors are installed at different positions in the farm according to the historical animal gathering areas to form different monitoring nodes, and a distributed gas monitoring module is constructed by all the monitoring nodes to monitor the gas concentration data in the monitored area of the farm.

[0048] The sensor control module obtains the key monitoring area based on the animal gathering behavior and controls the operation of the gas sensors set in the key monitoring area.

[0049] The sensor control module includes: an image acquisition unit, a monitoring area analysis unit, and a sensor control unit; the image acquisition unit is used to obtain video data of animal gathering behavior; the monitoring area analysis unit constructs an aggregation behavior analysis model based on the historical animal gathering areas and historical animal movement video data, and analyzes the animal behavior trajectory based on the animal gathering behavior video data to obtain the key monitoring area; the sensor control unit is used to obtain the key monitoring area and control the infrared photoacoustic spectroscopy gas detectors within and outside the key monitoring area to start working.

[0050] In this embodiment, the image acquisition unit is responsible for obtaining video data of the animal aggregation behavior in the farm, which is realized by the high-definition cameras installed in the farm and can monitor the activities of animals in real time. The monitoring area analysis unit first preprocesses the collected video data of the animal aggregation behavior, including denoising, stabilizing the picture, and light correction, etc., to ensure the accuracy of the subsequent algorithms; constructs a CNN model, including: (1) Input layer: Receives the preprocessed video frames, the size of which is usually a fixed value of 224×224 pixels; (2) Convolution layer: Multiple convolution layers are used to extract the spatial features in the image, and each convolution layer is usually followed by an activation function (such as ReLU); (3) Pooling layer: Used to reduce the spatial size of the feature map, reduce the amount of calculation, and keep the features unchanged; (4) Fully connected layer: Flattens the feature map and connects it to the fully connected layer to learn the combination of features: (5) Output layer: The final output layer usually uses the softmax function for multi-classification and outputs the probability of animal aggregation; then obtains the historical animal aggregation areas, and uses the historical animal aggregation areas and the historical animal action video data to train the constructed CNN model to obtain the final aggregation behavior analysis model; then uses the final aggregation behavior analysis model to extract the animal group features in the processed animal aggregation behavior video data, and these features include the density, movement direction, speed of the animal group, the movement direction and speed of individuals, etc. By training the labeled aggregation and non-aggregation scenario data sets, the model can identify the animal aggregation areas and obtain the key monitoring areas. The sensor control unit is used to obtain the key monitoring areas. The sensor control unit can automatically adjust the working state of the infrared photoacoustic spectroscopy gas detector to ensure key monitoring in the animal aggregation areas. Specifically, it controls the infrared photoacoustic spectroscopy gas detectors inside and outside the key monitoring areas to start working, and controls the infrared photoacoustic spectroscopy gas detectors outside the key monitoring areas to stop working.

[0051] The data analysis module is used to construct a harmful gas evaluation model and analyze the gas concentration data using the harmful gas evaluation model to obtain the harmful gas evaluation result.

[0052] The data analysis module includes: a model construction unit and a gas analysis unit; the model construction unit is used to obtain the historical gas concentration data and construct a harmful gas evaluation model based on the historical gas concentration data:

[0053]

[0054] Among them, S represents the harmful gas evaluation result, m represents the number of working infrared photoacoustic spectroscopy gas detectors, V n represents the concentration of the harmful gas detected by the nth infrared photoacoustic spectroscopy gas detector, F n represents the volatility of the monitoring result of the nth infrared photoacoustic spectroscopy gas detector, V sRepresents the safe concentration of harmful gases; the gas analysis unit analyzes the gas concentration data using the harmful gas evaluation model to obtain the harmful gas evaluation result.

[0055] The alarm module issues an alarm when the harmful gas evaluation result is abnormal. In this embodiment, when the harmful gas evaluation result exceeds the warning value, the alarm module issues an alarm.

[0056] Embodiment 2

[0057] In this embodiment, a method for monitoring harmful gases in a farm includes the following steps:

[0058] S1. Obtain the gas concentration data in the monitoring area in real time.

[0059] A number of infrared photoacoustic spectroscopy gas detectors are set in the farm according to the historical animal gathering areas. The infrared photoacoustic spectroscopy gas detectors are used to obtain the gas concentration data in the monitored area in real time; the gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

[0060] S2. Obtain the key monitoring area based on the animal gathering behavior and control the operation of the gas sensors set in the key monitoring area.

[0061] S2 includes: obtaining the video data of animal gathering behavior; constructing an aggregation behavior analysis model based on the historical animal gathering areas and historical animal movement video data, and analyzing the animal behavior trajectory based on the animal gathering behavior video data to obtain the key monitoring area; obtaining the key monitoring area and controlling the infrared photoacoustic spectroscopy gas detectors inside and outside the key monitoring area to start working.

[0062] S3. Construct a harmful gas evaluation model and analyze the gas concentration data using the harmful gas evaluation model to obtain the harmful gas evaluation result.

[0063] S3 includes: obtaining the historical gas concentration data and constructing a harmful gas evaluation model based on the historical gas concentration data:

[0064]

[0065] Where S represents the harmful gas evaluation result, m represents the number of working infrared photoacoustic spectroscopy gas detectors, V n Represents the concentration of harmful gases detected by the nth infrared photoacoustic spectroscopy gas detector, F n Represents the volatility of the monitoring result of the nth infrared photoacoustic spectroscopy gas detector, V s Represents the safe concentration of harmful gases; analyze the gas concentration data using the harmful gas evaluation model to obtain the harmful gas evaluation result.

[0066] S4. Issue an alarm when the evaluation result of harmful gases is abnormal.

[0067] The embodiments described above are only descriptions of the preferred embodiments of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solutions of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. A harmful gas monitoring system for a farm, characterized in that: include: Distributed gas monitoring module, sensor control module, data analysis module and alarm module; The distributed gas monitoring module is used to obtain gas concentration data in the monitoring area in real time; The sensor control module acquires a key monitoring area based on the animal gathering behavior, and controls the operation of the gas sensors arranged in the key monitoring area; The data analysis module is used to construct a harmful gas evaluation model, and use the harmful gas evaluation model to analyze the gas concentration data to obtain a harmful gas evaluation result; The alarm module issues an alarm when the harmful gas evaluation result is abnormal; The data analysis module includes: a model building unit and a gas analysis unit; The model building unit is used to obtain historical gas concentration data and build the harmful gas evaluation model based on the historical gas concentration data: Where S represents the harmful gas evaluation result, m represents the number of infrared photoacoustic spectrum gas detectors in operation, V n Indicates the concentration of harmful gases detected by the nth infrared photoacoustic spectrum gas detector, F n Represents the fluctuation rate of the monitoring results of the nth infrared photoacoustic spectrum gas detector, V s Indicates the safe concentration of harmful gases; The gas analysis unit analyzes the gas concentration data using the harmful gas evaluation model to obtain the harmful gas evaluation result.

2. A harmful gas monitoring system for a farm according to claim 1, characterized in that: The distributed gas monitoring module includes several infrared photoacoustic spectrum gas detectors; A plurality of infrared photoacoustic spectrum gas detectors are installed in the farm according to the historical animal gathering areas, and the infrared photoacoustic spectrum gas detectors are used to obtain the gas concentration data in the monitored area in real time; The gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

3. A harmful gas monitoring system for a farm according to claim 2, characterized in that: The sensor control module includes: an image acquisition unit, a monitoring area analysis unit and a sensor control unit; The image acquisition unit is used to obtain video data of animal gathering behavior; The monitoring area analysis unit constructs an aggregation behavior analysis model based on the historical animal aggregation area and the historical animal action video data, and analyzes the animal behavior trajectory based on the animal aggregation behavior video data to obtain the key monitoring area; The sensor control unit is used to obtain the key monitoring area and control the infrared photoacoustic spectrum gas detectors in and outside the key monitoring area to start working.

4. A method for monitoring harmful gases in a farm, the monitoring method being applied to the monitoring system according to any one of claims 1 to 3, characterized in that: The following steps are involved: S1. Real-time acquisition of gas concentration data within the monitoring area; S2. Obtaining key monitoring areas based on animal aggregation behavior and controlling the operation of gas sensors set in the key monitoring areas; S3. Constructing a harmful gas evaluation model, and using the harmful gas evaluation model to analyze the gas concentration data to obtain a harmful gas evaluation result; S4. Issue an alarm when the harmful gas evaluation result is abnormal; The S3 includes: Acquire historical gas concentration data, and construct the harmful gas evaluation model based on the historical gas concentration data: Where S represents the harmful gas evaluation result, m represents the number of infrared photoacoustic spectrum gas detectors in operation, V n Indicates the concentration of harmful gases detected by the nth infrared photoacoustic spectrum gas detector, F n Represents the fluctuation rate of the monitoring results of the nth infrared photoacoustic spectrum gas detector, V s Indicates the safe concentration of harmful gases; The harmful gas evaluation model is used to analyze the gas concentration data to obtain the harmful gas evaluation result.

5. A method for monitoring harmful gases in a farm according to claim 4, characterized in that: Several infrared photoacoustic spectrum gas detectors are installed in the farm according to the historical animal gathering areas, and the infrared photoacoustic spectrum gas detectors are used to obtain the gas concentration data in the monitored area in real time; The gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

6. A method for monitoring harmful gases in a farm according to claim 5, characterized in that: The S2 includes: Obtain video data of animal gathering behavior; Building an aggregation behavior analysis model based on the historical animal aggregation areas and historical animal action video data, and analyzing animal behavior trajectories based on the animal aggregation behavior video data to obtain the key monitoring area; The key monitoring area is acquired, and the infrared photoacoustic spectrum gas detectors in and outside the key monitoring area are controlled to start working.

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