Farm harmful gas monitoring system and method

Abstract

The invention discloses a livestock farm harmful gas monitoring system and method. The system comprises a distributed gas monitoring module, a sensor control module, a data analysis module and an alarm module. The distributed gas monitoring module is used for acquiring gas concentration data in the monitoring area in real time; the sensor control module is used for acquiring a key monitoring area based on animal gathering behaviors and controlling the work of a gas sensor arranged in the key monitoring area; the data analysis module is used for constructing a harmful gas evaluation model and analyzing the gas concentration data by using the harmful gas evaluation model to obtain a harmful gas evaluation result; and the alarm module gives an alarm when the harmful gas evaluation result is abnormal. According to the invention, distributed anomaly detection is realized, the accuracy and the real-time performance of gas monitoring are improved, the power consumption and the data transmission quantity are obviously reduced, and intelligent and efficient management of farm environment monitoring is realized.

Description

Technical Field

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

[0002] There are many harmful gases in the farms, such as ammonia and hydrogen sulfide. Long-term excessive levels will endanger animal health and affect the benefits of breeding. In order to monitor the changes in gas concentration in real time, a large number of gas sensors need to be deployed in the farms, equipped with data acquisition and wireless transmission equipment. However, the continuous operation of large-scale sensor networks consumes a lot of electricity, increasing the electricity burden of the farms. If the sensor sampling frequency and data reporting cycle are reduced, it is difficult to ensure the real-time and accuracy of gas concentration. At the same time, the temperature and humidity in the complex breeding environment change dramatically, which puts high demands on the measurement stability of sensors and the protection level of equipment, further increasing energy consumption. The centralized data processing mode also faces the energy efficiency bottleneck of massive data transmission. How to minimize the energy consumption of the entire system while meeting the real-time and accuracy of gas monitoring, and 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 gas concentration data in the monitoring area in real time;

[0006] 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;

[0007] 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;

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

[0009] Preferably, the distributed gas monitoring module includes a number of infrared photoacoustic spectrum gas detectors;

[0010] 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;

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

[0012] Preferably, the sensor control module comprises: 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 gathering behavior;

[0014] 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;

[0015] 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.

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

[0017] 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:

[0018]

[0019] 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;

[0020] The gas analysis unit analyzes the gas concentration data 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, which is applied to any of the monitoring systems described above and comprises the following steps:

[0022] S1. Real-time acquisition of gas concentration data within the monitoring area;

[0023] S2. Obtaining key monitoring areas based on animal aggregation behavior and controlling the operation of gas sensors set in the key monitoring areas;

[0024] 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;

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

[0026] Preferably, a number 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;

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

[0028] Preferably, S2 includes:

[0029] Obtain video data of animal gathering behavior;

[0030] 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;

[0031] 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.

[0032] Preferably, S3 includes:

[0033] Acquire 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 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;

[0036] The harmful gas evaluation model is used to analyze the gas concentration data to obtain the harmful gas evaluation result.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

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

[0039] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0040] Figure 1 Schematic diagram of the system structure of an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0043] Embodiment 1

[0044] In this embodiment, if Figure 1 As 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 several infrared photoacoustic spectrum gas detectors; several infrared photoacoustic spectrum gas detectors are set up in the farm according to the historical animal gathering areas, and the infrared photoacoustic spectrum gas detectors are used to obtain real-time gas concentration data in the monitored area; the gas concentration data includes: ammonia concentration data and hydrogen sulfide concentration data.

[0047] In this embodiment, the infrared photoacoustic spectrum gas detector selects INNOVA 1512 infrared photoacoustic spectrum gas detector, and the installed filters are selected according to the characteristics of ammonia and hydrogen sulfide. Up to five filters (plus water vapor filters) can be installed. INNOVA 1512 infrared photoacoustic spectrum gas detector will compensate for the interference of temperature, pressure changes, water vapor concentration and other known gases that exist at the same time to ensure accurate and reliable measurement results. According to the historical animal gathering areas, INNOVA 1512 infrared photoacoustic spectrum gas detectors are installed in different locations in the farm to form different monitoring nodes, and a distributed gas monitoring module is constructed by all monitoring nodes to monitor the gas concentration data in the monitoring 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 animal gathering behavior video data; the monitoring area analysis unit builds an gathering behavior analysis model based on historical animal gathering areas and historical animal action video data, and analyzes animal behavior trajectories based on animal gathering behavior video data to obtain key monitoring areas; the sensor control unit is used to obtain key monitoring areas and control the infrared photoacoustic spectrum gas detectors in and outside the key monitoring areas to start working.

[0050] In this embodiment, the image acquisition unit is responsible for acquiring video data of animal aggregation behavior in the farm, which is achieved by installing high-definition cameras in the farm, and can monitor the activities of animals in real time. The monitoring area analysis unit will first pre-process the collected animal aggregation behavior video data, including denoising, stabilizing the picture and correcting the light, to ensure the accuracy of the subsequent algorithm; construct a CNN model, including: (1) Input layer: receiving pre-processed video frames, the size is usually a fixed value of 224×224 pixels; (2) Convolution layer: multiple convolution layers are used to extract 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: flatten the feature map and connect it to the fully connected layer for learning the combination of features :(5) Output layer: The final output layer usually uses a softmax function for multi-classification and outputs the probability of animal gathering; then the historical animal gathering area is obtained, and the constructed CNN model is trained using the historical animal gathering area and historical animal action video data to obtain the final gathering behavior analysis model; then the final gathering behavior analysis model is used to extract the animal group characteristics in the processed animal gathering behavior video data, which include the density, movement direction, speed of the animal group, the movement direction and speed of the individual, etc. By training with labeled gathering and non-gathering scene data sets, the model can identify the animal gathering area and obtain the key monitoring area. The sensor control unit is used to obtain the key monitoring area. The sensor control unit can automatically adjust the working state of the infrared photoacoustic spectrometer gas detector to ensure key monitoring in the animal gathering area. Specifically, the infrared photoacoustic spectrometer gas detector in and outside the key monitoring area is controlled to start working, and the infrared photoacoustic spectrometer gas detector outside the key monitoring area is controlled to stop working.

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

[0052] 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 a harmful gas evaluation model based on the historical gas concentration data:

[0053]

[0054] 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 sIndicates the safe concentration of harmful gases; the gas analysis unit uses the harmful gas evaluation model to analyze the gas concentration data to obtain the harmful gas evaluation results.

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

[0056] Embodiment 2

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

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

[0059] According to the historical animal gathering areas, several infrared photoacoustic spectrum gas detectors are installed in the farms. The infrared photoacoustic spectrum gas detectors are used to obtain real-time gas concentration data in the monitored area; the gas concentration data include: ammonia concentration data and hydrogen sulfide concentration data.

[0060] S2. Acquire key monitoring areas based on animal aggregation behavior and control the operation of gas sensors set in the key monitoring areas.

[0061] S2 includes: obtaining video data of animal aggregation behavior; constructing an aggregation behavior analysis model based on 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 key monitoring areas; obtaining key monitoring areas, and controlling infrared photoacoustic spectrometer gas detectors within and outside the key monitoring areas to start working.

[0062] S3. Construct a harmful gas evaluation model, and use the harmful gas evaluation model to analyze gas concentration data to obtain harmful gas evaluation results.

[0063] S3 includes: obtaining historical gas concentration data and building 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 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; uses the harmful gas evaluation model to analyze the gas concentration data to obtain the harmful gas evaluation results.

[0066] S4. Issue an alarm when the harmful gas evaluation results are abnormal.

[0067] The embodiments described above are only descriptions of the preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Without departing from the design spirit of the present invention, various modifications and improvements made to the technical solutions of the present invention by ordinary technicians in this field should all 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.

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 harmful gas monitoring system for a farm according to claim 1, characterized in that: 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.

5. 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 4, 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.

6. A method for monitoring harmful gases in a farm according to claim 5, 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.

7. A method for monitoring harmful gases in a farm according to claim 6, 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.

8. A method for monitoring harmful gases in a farm according to claim 5, characterized in that: 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.

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