Farm heating method and system

Abstract

The invention relates to the technical field of breeding heating, in particular to a breeding farm heating method and system. The method comprises the following steps that the heating temperature threshold value and the first environment temperature of each heating area are obtained; and heating each heating area based on the heating temperature threshold value of each heating area and the environment temperature. The method for judging the type and the growth state of the bred animals through an image recognition algorithm comprises the steps that an image of a heating area is obtained, and an input module preprocesses the heating image to obtain a preprocessed image; the backbone network performs slicing processing on the preprocessed image to obtain a feature map, and performs feature extraction on the feature map to obtain feature data; the Neck network layer performs feature fusion on the feature data to obtain to-be-identified data; and the output module predicts the to-be-identified data and outputs a prediction result. According to the invention, the threshold value of each area needing heat supply can be automatically obtained, heat can be accurately supplied to each area, and the breeding demand is ensured.

Description

Technical Field

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

[0002] Farm heating is an important part of ensuring the growth and production performance of livestock and poultry. With the increasing attention paid to sustainable energy and environmental protection, the heating methods of farms are also constantly seeking innovation.

[0003] When building farms in the north for livestock and poultry breeding, the winter in the north is relatively cold, and the heat generated by the livestock and poultry themselves is not enough to maintain a suitable temperature, which can easily lead to livestock and poultry being frozen, resulting in growth stagnation, weight loss, illness and other problems that are not conducive to livestock and poultry breeding. Therefore, it is necessary to heat the farms in the cold winter.

[0004] However, the existing heating process cannot automatically provide accurate heating according to the needs of each heating area, resulting in the heating amount being unable to meet actual needs. In order to solve this technical problem, a farm heating method and system are proposed. Summary of the invention

[0005] In order to solve the technical problems existing in the above-mentioned prior art, the present invention provides a method and system for heating a farm.

[0006] To achieve the above objectives, the embodiments of the present invention provide the following technical solutions:

[0007] In a first aspect, in one embodiment provided by the present invention, a method for heating a farm is provided, the method comprising the following steps:

[0008] Obtaining a heating temperature threshold and a first ambient temperature for each heating zone;

[0009] Each heating zone is heated based on the heating temperature threshold value and the ambient temperature of each heating zone.

[0010] This solution obtains the heating temperature threshold and ambient temperature of each heating area, and heats each heating area based on the heating temperature threshold and ambient temperature of each heating area; the present invention can automatically obtain the threshold required for heating in each area, and can accurately heat each area to ensure the breeding needs

[0011] As a further solution of the present invention, the step of obtaining the heating temperature threshold and the first ambient temperature of each heating area includes:

[0012] Obtain images of each heating area to determine the type and growth status of the animals being raised;

[0013] Based on the obtained animal species and growth status, the corresponding heating temperature threshold of each heating area is obtained.

[0014] As a further solution of the present invention, the method of using an image recognition algorithm to determine the type and growth status of the farmed animal includes:

[0015] An image of the heating area is acquired, and the input module pre-processes the heating image to obtain a pre-processed image;

[0016] The backbone network slices the preprocessed image to obtain a feature map, and extracts features from the feature map to obtain feature data;

[0017] The Neck network layer performs feature fusion on feature data to obtain data to be identified;

[0018] The output module predicts the data to be identified and outputs the prediction results.

[0019] The Neck network layer mainly includes two structures: feature pyramid network (FPN) and path aggregation network (PAN). FPN combines upsampling to pass the upper-layer feature information downward to enrich the information of the feature map. PAN combines downsampling to pass the bottom-layer information to the upper-layer information to enhance feature positioning. FPN and PAN combine to fuse the information of each detection layer, effectively improving the information utilization rate of the feature.

[0020] The output module includes a loss function and non-maximum suppression (NMS), which can analyze and remove redundant prediction boxes. The principle of NMS is to first perform an intersection and union comparison between the most likely box and other boxes to obtain an IOU value, and then remove boxes whose IOU values ​​exceed a certain threshold.

[0021] The loss function includes classification loss function, confidence loss function and positioning loss function. The positioning loss function is a GIOU function, which can calculate the position error between the predicted box and the real box. The formula is as follows:

[0022] L=LG

[0023]

[0024] Where: L is the positioning loss, G is the GIOU value, I is the IOU value, A is the real box, B is the predicted box, and C is the smallest rectangle containing A and B. The GIOU function considers both the overlapping part of the two boxes and the non-overlapping part, which can effectively solve the problem that the two boxes cannot be evaluated because they do not overlap.

[0025] As a further solution of the present invention, heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes:

[0026] Based on the heating temperature threshold and ambient temperature of each heating area, the temperature difference between the heating temperature threshold and the ambient temperature of the heating area is calculated, and the required heating amount is obtained based on the temperature difference. The heating system heats each heating area according to the heating amount corresponding to each heating area.

[0027] As a further solution of the present invention, heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes:

[0028] The heating system includes a green heating unit and a gas heating unit, and the required total heating amount is calculated by using the functional quantities of all heating areas;

[0029] Determine whether the green heating unit can meet the total heating demand. If so, use the green heating unit for heating. If not, use the green heating unit and the gas heating unit for heating at the same time.

[0030] As a further solution of the present invention, heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes:

[0031] The green heating unit includes a biogas heating unit, a photothermal unit and a biomass particle heating unit;

[0032] Determine whether the biogas heating unit can meet the total heating demand. If so, give priority to using the biogas heating unit for heating;

[0033] If the biogas heating unit cannot meet the heating demand, the biogas heating unit and solar thermal unit will be used for heating;

[0034] If the biogas heating unit and the solar thermal unit cannot meet the heating demand, the biogas heating unit, the solar thermal unit and the biomass pellet heating unit will be used for heating at the same time.

[0035] In a second aspect, in another embodiment provided by the present invention, a heating system for a farm is provided, the system comprising: an environmental data acquisition module and a heating module;

[0036] The environmental data acquisition module is used to obtain the heating temperature threshold and the first environmental temperature of each heating area;

[0037] The heating module is used to heat each heating area based on the heating temperature threshold and ambient temperature of each heating area.

[0038] As a further solution of the present invention, the environmental data acquisition module is used to acquire images of each heating area, determine the species and growth status of the farmed animals, and acquire the corresponding heating temperature threshold of each heating area based on the acquired animal species and growth status.

[0039] As a further solution of the present invention, the environmental data acquisition module is also used to collect and acquire the first environmental temperature of each heating area through a temperature sensor arranged in each heating area.

[0040] As a further solution of the present invention, the heating module, used for the heating system includes a green heating unit and a gas heating unit, and uses the functional quantity of all heating areas to calculate the required total heating supply; judge whether the green heating unit can meet the total heating demand, if so, use the green heating unit for heating, if not, the green heating unit and the gas heating unit provide heating at the same time.

[0041] The technical solution provided by the present invention has the following beneficial effects:

[0042] The present invention obtains the heating temperature threshold and the ambient temperature of each heating area, and heats each heating area based on the heating temperature threshold and the ambient temperature of each heating area; the present invention can automatically obtain the threshold required for heating of each area, and can accurately provide heat to each area to ensure breeding needs.

[0043] These and other aspects of the present invention will be more clearly understood in the following description of the embodiments. It should be understood that the above general description and the following detailed description are only exemplary and explanatory and cannot limit the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these drawings without paying creative work.

[0045] Figure 1 This is a flow chart of a method for heating a farm according to an embodiment of the present invention.

[0046] Figure 2 This is a flow chart of step S10 in a method for heating a farm according to an embodiment of the present invention.

[0047] Figure 3 This is a structural diagram of an image recognition algorithm in a farm heating method according to an embodiment of the present invention.

[0048] Figure 4 This is a flow chart of step S101 in a method for heating a farm according to an embodiment of the present invention.

[0049] Figure 5 This is a structural diagram of a heating system for a breeding farm according to an embodiment of the present invention.

[0050] In the figure: environmental data acquisition module-100, heating module-200. DETAILED DESCRIPTION

[0051] 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 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.

[0052] The flowcharts shown in the accompanying drawings are only examples and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may also be decomposed, combined or partially merged, so the actual execution order may change according to actual conditions.

[0053] It should be understood that the terms used in this specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the specification of the present invention and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0054] Specifically, the embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0055] See also Figure 1 , Figure 1 is a flow chart of a method for heating a farm provided by an embodiment of the present invention, such as Figure 1 As shown, the farm heating method includes steps S10 to S20.

[0056] S10, obtaining a heating temperature threshold and a first ambient temperature of each heating area;

[0057] See also Figure 2 In an embodiment of the present invention, the step S10, obtaining the heating temperature threshold and the first ambient temperature of each heating area, includes:

[0058] S101. Obtain images of each heating area to determine the type and growth status of the farmed animals.

[0059] In an embodiment of the present invention, the step S10, obtaining a heating temperature threshold and a first ambient temperature of each heating area, includes:

[0060] Acquire images of each heating area and use image recognition algorithms to determine the type of animals being farmed and their growth status.

[0061] Image recognition is one of the core tasks in the field of computer vision. It involves using computer algorithms to process and analyze input images to achieve recognition, classification and location of objects in the image. With the development of deep learning technology, image recognition algorithms have achieved significant improvements in accuracy and speed. The image recognition in the present invention can adopt a convolutional neural network, a convolutional neural network (CNN): CNN is a deep learning algorithm that is particularly suitable for image processing and recognition. It performs multi-level feature extraction on the input image by simulating the working mode of the visual nerves of the human brain. CNN is mainly composed of an input layer, a convolutional layer, a pooling layer, a fully connected layer, etc. In the image classification task, CNN can automatically learn the features in the image and classify them according to these features.

[0062] See also Figure 3 , the image recognition algorithm is the YOLOv5 algorithm. The YOLOv5 algorithm includes an input module, a backbone network, a Neck network layer, and an output module.

[0063] See also Figure 4 The method of using an image recognition algorithm to determine the type and growth status of the farmed animals includes:

[0064] S1011, acquiring an image of the heating area, and the input module preprocesses the heating image to obtain a preprocessed image;

[0065] S1012, the backbone network slices the preprocessed image to obtain a feature map, and extracts features from the feature map to obtain feature data; specifically, every other pixel on the three RGB channels of the original image is taken out, and the original 4×4×3 image is sliced ​​to obtain a 2×2×12 feature map.

[0066] S1013, the Neck network layer performs feature fusion on the feature data to obtain data to be identified;

[0067] The Neck network layer mainly includes two structures: feature pyramid network (FPN) and path aggregation network (PAN). FPN combines upsampling to pass the upper-layer feature information downward to enrich the information of the feature map. PAN combines downsampling to pass the bottom-layer information to the upper-layer information to enhance feature positioning. FPN and PAN combine to fuse the information of each detection layer, effectively improving the information utilization rate of the feature.

[0068] S1014: The output module predicts the data to be identified and outputs the prediction result.

[0069] The output module includes a loss function and non-maximum suppression (NMS), which can analyze and remove redundant prediction boxes. The principle of NMS is to first perform an intersection and union comparison between the most likely box and other boxes to obtain an IOU value, and then remove boxes whose IOU values ​​exceed a certain threshold.

[0070] The loss function includes classification loss function, confidence loss function and positioning loss function. The positioning loss function is a GIOU function, which can calculate the position error between the predicted box and the real box. The formula is as follows:

[0071] L=LG

[0072]

[0073] Where: L is the positioning loss, G is the GIOU value, I is the IOU value, A is the real box, B is the predicted box, and C is the smallest rectangle containing A and B. The GIOU function considers both the overlapping part of the two boxes and the non-overlapping part, which can effectively solve the problem that the two boxes cannot be evaluated because they do not overlap.

[0074] S102: Based on the obtained animal species and growth status, the corresponding heating temperature threshold of each heating area is obtained. In this way, the threshold required for heating of each area can be automatically obtained, and heating of each area can be accurately provided to ensure breeding needs.

[0075] Since different animals require different temperatures at different growth stages, the present invention can accurately provide the animals with what they need by automatically acquiring environmental thresholds, thereby achieving precise heating.

[0076] In an embodiment of the present invention, the step S10 of obtaining the heating temperature threshold and the first ambient temperature of each heating area further includes:

[0077] The first ambient temperature of each heating area is acquired by means of temperature sensors arranged in each heating area.

[0078] S20. Heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area.

[0079] In an embodiment of the present invention, the step S20 of heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes:

[0080] Based on the heating temperature threshold and ambient temperature of each heating area, the temperature difference between the heating temperature threshold and the ambient temperature of the heating area is calculated, and the required heating amount is obtained based on the temperature difference. The heating system heats each heating area according to the heating amount corresponding to each heating area.

[0081] In an embodiment of the present invention, the step S20 of heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes:

[0082] The heating system includes a green heating unit and a gas heating unit, and the required total heating amount is calculated by using the functional quantities of all heating areas;

[0083] Determine whether the green heating unit can meet the total heating demand. If so, use the green heating unit for heating. If not, use the green heating unit and the gas heating unit for heating at the same time.

[0084] In an embodiment of the present invention, the step S20 of heating each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes:

[0085] The green heating unit includes a biogas heating unit, a photothermal unit and a biomass particle heating unit;

[0086] Determine whether the biogas heating unit can meet the total heating demand. If so, give priority to using the biogas heating unit for heating;

[0087] If the biogas heating unit cannot meet the heating demand, the biogas heating unit and solar thermal unit will be used for heating;

[0088] If the biogas heating unit and the solar thermal unit cannot meet the heating demand, the biogas heating unit, the solar thermal unit and the biomass pellet heating unit will be used for heating at the same time. In this way, the heating unit that cannot be stored can be used for heating first, thus improving the energy utilization rate.

[0089] The biogas heating unit converts livestock and poultry manure into biogas and then into heat; the solar thermal unit uses solar energy for heating; and the biomass pellet heating unit generates heat by burning biomass pellets.

[0090] The present invention obtains the heating temperature threshold and the ambient temperature of each heating area, and heats each heating area based on the heating temperature threshold and the ambient temperature of each heating area; the present invention can automatically obtain the threshold required for heating of each area, and can accurately provide heat to each area to ensure breeding needs.

[0091] It should be understood that, although described in a certain order, these steps are not necessarily performed in sequence in the above order. Unless there is clear explanation in this article, the execution of these steps does not have strict order restriction, and these steps can be performed in other orders. Moreover, a part of the steps of the present embodiment may include a plurality of steps or a plurality of stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a part of the steps or stages in other steps or other steps.

[0092] In one embodiment, see Figure 5 As shown, in an embodiment of the present invention, a farm heating system is also provided, which includes an environment data acquisition module 100 and a heating module 200.

[0093] The environmental data acquisition module 100 is used to obtain the heating temperature threshold and the first environmental temperature of each heating area.

[0094] In an embodiment of the present invention, the environmental data acquisition module 100 is used to acquire images of each heating area, determine the species and growth status of the farmed animals, and acquire the corresponding heating temperature threshold of each heating area based on the acquired animal species and growth status.

[0095] Specifically, an image recognition algorithm may be used to perform image video of the heating area to obtain the species and growth status of the farmed animals.

[0096] In an embodiment of the present invention, the environmental data acquisition module 100 is further used to collect and acquire the first environmental temperature of each heating area through a temperature sensor arranged in each heating area.

[0097] The heating module 200 is used to heat each heating area based on the heating temperature threshold of each heating area and the ambient temperature.

[0098] In an embodiment of the present invention, the heating module 200, used for the heating system includes a green heating unit and a gas heating unit, and uses the functional quantity of all heating areas to calculate the required total heating supply; judge whether the green heating unit can meet the total heating demand, if so, use the green heating unit for heating, if not, the green heating unit and the gas heating unit provide heating at the same time.

[0099] In an embodiment of the present invention, the heating module 200, which is used for the green heating unit, includes a biogas heating unit, a solar thermal unit and a biomass pellet heating unit; it is judged whether the biogas heating unit can meet the total heating demand, and if so, the biogas heating unit is used for heating first; if the biogas heating unit cannot meet the heating demand, the biogas heating unit and the solar thermal unit are used for heating; if the biogas heating unit and the solar thermal unit still cannot meet the heating demand, the biogas heating unit, the solar thermal unit and the biomass pellet heating unit are used for heating at the same time.

[0100] The present invention obtains the heating temperature threshold and the ambient temperature of each heating area, and heats each heating area based on the heating temperature threshold and the ambient temperature of each heating area; the present invention can automatically obtain the threshold required for heating of each area, and can accurately provide heat to each area to ensure breeding needs.

[0101] It should be understood that, as used herein, the singular form "a" or "an" is intended to include the plural form as well, unless the context clearly supports an exception. It should also be understood that, as used herein, "and / or" refers to any and all possible combinations of one or more of the items listed in association. The serial numbers of the embodiments disclosed in the above embodiments of the present invention are for description only and do not represent the advantages and disadvantages of the embodiments.

[0102] A person skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples; under the concept of the embodiments of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and there are many other changes in different aspects of the embodiments of the present invention as above, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims

1. A method for heating a farm, characterized in that: The method includes: Obtaining a heating temperature threshold and a first ambient temperature for each heating zone; Each heating zone is heated based on the heating temperature threshold value and the ambient temperature of each heating zone.

2. The method for heating a farm according to claim 1, characterized in that: The obtaining of the heating temperature threshold and the first ambient temperature of each heating area includes: Obtain images of each heating area to determine the type and growth status of the animals being raised; Based on the obtained animal species and growth status, the corresponding heating temperature threshold of each heating area is obtained.

3. The method for heating a farm according to claim 2, characterized in that: The step of obtaining the heating temperature threshold and the first ambient temperature of each heating area further includes: The first ambient temperature of each heating area is acquired by means of temperature sensors arranged in each heating area.

4. The method for heating a farm according to claim 3, characterized in that: The heating of each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes: Based on the heating temperature threshold and ambient temperature of each heating area, the temperature difference between the heating temperature threshold and the ambient temperature of the heating area is calculated, and the required heating amount is obtained based on the temperature difference. The heating system heats each heating area according to the heating amount corresponding to each heating area.

5. The method for heating a farm according to claim 4, characterized in that: The heating of each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes: The heating system includes a green heating unit and a gas heating unit, and the required total heating amount is calculated by using the functional quantities of all heating areas; Determine whether the green heating unit can meet the total heating demand. If so, use the green heating unit for heating. If not, use the green heating unit and the gas heating unit for heating at the same time.

6. The method for heating a farm according to claim 5, characterized in that: The heating of each heating area based on the heating temperature threshold and the ambient temperature of each heating area includes: The green heating unit includes a biogas heating unit, a photothermal unit and a biomass particle heating unit; Determine whether the biogas heating unit can meet the total heating demand. If so, give priority to using the biogas heating unit for heating; If the biogas heating unit cannot meet the heating demand, the biogas heating unit and solar thermal unit will be used for heating; If the biogas heating unit and the solar thermal unit cannot meet the heating demand, the biogas heating unit, the solar thermal unit and the biomass pellet heating unit will be used for heating at the same time.

7. A heating system for a breeding farm, characterized in that: The system comprises: an environmental data acquisition module (100) and a heating module (200); The environmental data acquisition module (100) is used to acquire the heating temperature threshold and the first environmental temperature of each heating area; The heating module (200) is used to heat each heating area based on the heating temperature threshold of each heating area and the ambient temperature.

8. The farm heating system according to claim 7, characterized in that: The environmental data acquisition module (100) is used to acquire images of each heating area, determine the species and growth status of the farmed animals, and acquire the corresponding heating temperature threshold of each heating area based on the acquired animal species and growth status.

9. The farm heating system according to claim 8, characterized in that: The environmental data acquisition module (100) is also used to collect and acquire the first environmental temperature of each heating area through a temperature sensor arranged in each heating area.

10. The farm heating system according to claim 9, characterized in that: The heating module (200) is used for the heating system including a green heating unit and a gas heating unit, and uses the functional quantities of all heating areas to calculate the required total heating capacity; it determines whether the green heating unit can meet the total heating demand, and if so, uses the green heating unit for heating; if not, the green heating unit and the gas heating unit provide heating at the same time.

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