Intelligent chicken manure treatment system based on insect bioconversion breeding

Abstract

The present invention relates to the field of waste treatment technology, and in particular to an intelligent chicken manure treatment system based on insect bioconversion farming. The system comprises: a data acquisition module for acquiring conversion images, temperature data, and humidity data in real time; a placement determination module for determining the placement method of black soldier flies based on color uniformity; a conversion process analysis module for determining whether black soldier flies have converted chicken manure within a preset time based on the coverage area ratio, and determining whether the environmental impact of the black soldier fly conversion process is satisfactory based on the temperature and humidity deviation; an adjustment module for determining, based on a ratio, whether to increase the ventilation volume during the black soldier fly conversion process; a conversion result analysis module for determining whether the black soldier fly conversion process of chicken manure has ended based on a pupation process characterization parameter, and determining whether the black soldier fly conversion process of chicken manure is satisfactory based on the insect manure texture homogeneity characterization value; and an optimization module for determining, based on a difference value, whether the number of black soldier flies should be increased. The present invention improves the efficiency of black soldier flies in treating chicken manure.

Description

Technical Field

[0001] The present invention relates to the technical field of waste treatment, and in particular to an intelligent chicken manure treatment system based on insect bioconversion breeding. Background Art

[0002] In modern aquaculture, the treatment of chicken manure has always been a critical issue. With the continuous expansion of poultry farming, chicken manure production has increased dramatically. Traditional methods of chicken manure treatment, such as direct stacking and simple drying, are ineffective and can cause serious pollution to the surrounding environment. Black soldier fly larvae can consume large quantities of organic waste such as chicken manure, converting the organic matter in the manure into their own growth materials during the feeding process. The excrement sand also serves as high-quality organic fertilizer. However, traditional farming and treatment methods are often based on manual experience and lack precise monitoring and control methods, resulting in low conversion efficiency and difficulty in ensuring the final quality of chicken manure treatment.

[0003] Chinese patent application publication number: CN106070073A discloses a chicken manure treatment method and system based on black soldier flies. The treatment method includes the following steps: Step S10: setting a chicken manure falling area and a black soldier fly treatment pool at the chicken cage position, so that the chicken manure in the chicken cage falls into the black soldier fly treatment pool through the chicken manure falling area, and the black soldier fly treatment pool contains black soldier fly larvae; Step S20: ventilating the chicken manure in the black soldier fly treatment pool at a preset temperature; Step S30: when the treated chicken manure reaches the preset conditions, performing an insect-manure separation operation to obtain organic fertilizer and commercial black soldier fly insects.

[0004] However, the existing technology has the following problems: the treatment of the environmental impact stability during the black soldier fly treatment of chicken manure is not refined enough, resulting in a long black soldier fly treatment cycle for chicken manure, thereby leading to low efficiency in the treatment of chicken manure by black soldier flies. Summary of the Invention

[0005] To this end, the present invention provides an intelligent chicken manure treatment system based on insect bioconversion breeding, which is used to overcome the problem that the existing technology is not sophisticated enough in the treatment of the environmental impact stability of black soldier flies in the process of treating chicken manure, resulting in a long treatment cycle of black soldier flies on chicken manure, and thus resulting in low treatment efficiency of black soldier flies on chicken manure.

[0006] To achieve the above objectives, the present invention provides an intelligent chicken manure treatment system based on insect bioconversion farming, comprising:

[0007] A data acquisition module is used to obtain in real time the conversion images, temperature data and humidity data of the chicken manure sample treated by several black soldier flies;

[0008] a placement determination module connected to the data acquisition module, for determining a uniform placement or regional placement of black soldier flies based on the color uniformity of the chicken manure image in the converted image;

[0009] a conversion process analysis module, which is respectively connected to the data acquisition module and the delivery determination module, and is used to determine whether the black soldier flies have converted the chicken manure within a preset time based on the coverage area ratio of the chicken manure treatment area image in the conversion image of the corresponding delivery method, and to determine whether the impact of the environment on the chicken manure conversion process of the black soldier flies is qualified based on the temperature and humidity deviation jointly determined by the temperature data and the humidity data;

[0010] an adjustment module, connected to the delivery determination module and the conversion process analysis module, respectively, for determining, under the condition that the influence of the environment on the chicken manure conversion process of the black soldier flies is unqualified, to increase the ventilation volume of the chicken manure conversion process of the black soldier flies based on the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation;

[0011] a conversion result analysis module connected to the adjustment module, for determining whether the conversion process of the chicken manure by the black soldier fly is completed based on the pupation process characterization parameter of the chicken manure treatment area image, and for determining whether the conversion process of the chicken manure by the black soldier fly is qualified based on the insect feces texture homogeneity characterization value of the chicken manure treatment area image;

[0012] An optimization module is connected to the conversion result analysis module and is used to determine the increase in the number of black soldier flies based on the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value under the condition that the black soldier flies fail to convert chicken manure.

[0013] Furthermore, the placement determination module determines that the black soldier fly placement method is a regional placement method based on a comparison result that the color uniformity of the chicken manure image is less than or equal to a preset color uniformity.

[0014] Furthermore, the placement determination module determines that the placement method of the black soldier flies is a uniform placement method based on a comparison result that the color uniformity of the chicken manure image is greater than a preset color uniformity.

[0015] Furthermore, the conversion process analysis module determines that the black soldier flies fail to convert the chicken manure within the preset time based on the comparison result that the coverage area ratio of the chicken manure treatment area image of the corresponding delivery method is less than or equal to the preset coverage area ratio, and determines that the impact of the environment on the black soldier fly conversion process of chicken manure is unqualified based on the comparison result that the temperature and humidity deviation jointly determined by the temperature data and the humidity data is greater than the preset temperature and humidity deviation.

[0016] Furthermore, under the condition that it is determined that the influence of the environment on the process of black soldier flies converting chicken manure is unqualified, the adjustment module determines to increase the ventilation volume of the process of black soldier flies converting chicken manure by a first preset ventilation volume adjustment coefficient based on the comparison result that the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation is less than or equal to the preset ratio.

[0017] Furthermore, under the condition that it is determined that the influence of the environment on the process of black soldier flies converting chicken manure is unqualified, the adjustment module determines to increase the ventilation volume of the process of black soldier flies converting chicken manure by a second preset ventilation volume adjustment coefficient based on the comparison result that the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation is greater than the preset ratio.

[0018] Furthermore, under the condition of determining the adjustment of the ventilation volume, the conversion result analysis module determines that the conversion process of the black soldier fly to the chicken manure has not been completed based on the comparison result that the pupation process characterization parameter of the chicken manure treatment area image is less than or equal to the preset pupation process characterization parameter, and extends the duration of the black soldier fly to the chicken manure conversion process.

[0019] Furthermore, under the condition of determining the adjustment of the ventilation volume, the conversion result analysis module determines that the conversion process of the black soldier fly to the chicken manure is completed based on the comparison result that the pupation process characterization parameter of the chicken manure treatment area image is greater than the preset pupation process characterization parameter, and determines that the conversion process of the black soldier fly to the chicken manure is qualified based on the comparison result that the insect feces texture homogeneity characterization value of the chicken manure treatment area image is greater than the preset insect feces texture homogeneity characterization value.

[0020] Furthermore, under the condition that the black soldier flies' conversion treatment of chicken manure is determined to be unqualified, the optimization module determines to increase the number of black soldier flies by a first preset number adjustment coefficient based on the comparison result that the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value is less than or equal to the preset difference.

[0021] Furthermore, under the condition that the black soldier flies' conversion treatment of chicken manure is determined to be unqualified, the optimization module determines to increase the number of black soldier flies by a second preset number adjustment coefficient based on the comparison result that the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value is greater than the preset difference.

[0022] Compared with the prior art, the beneficial effects of the present invention are that the present invention obtains images and environmental parameters of the processing process in real time through the data acquisition module; the delivery determination module intelligently selects the delivery strategy according to the color uniformity of chicken manure, the conversion process analysis module combines the coverage area change and environmental data to evaluate the processing progress and environmental adaptability, the adjustment module automatically optimizes the ventilation volume when the environment is abnormal, and the result analysis module judges the processing completion and quality through the pupation process and the texture characteristics of insect feces; the optimization module dynamically adjusts the number of insect populations when the quality does not meet the standards, reduces manual intervention, improves the stability of the black soldier fly to chicken manure conversion process, reduces the possibility of processing interruption due to temperature and humidity fluctuations, and the precise delivery strategy improves the utilization rate of black soldier flies, shortens the black soldier fly processing cycle, and thus improves the black soldier fly's processing efficiency of chicken manure.

[0023] Furthermore, the present invention analyzes the color uniformity of chicken manure images in real time and dynamically selects regional or uniform delivery strategies to adapt to the distribution status of chicken manure, so that the amount of black soldier flies delivered is highly consistent with the distribution density of chicken manure, avoiding excessive concentration or dispersion of insect swarms, improving resource utilization, dynamic delivery reduces excessive use of black soldier flies, and precise delivery shortens the black soldier fly processing time.

[0024] Furthermore, the present invention evaluates environmental stability by quantifying temperature and humidity fluctuations, accurately identifies the comprehensive impact of environmental fluctuations on biological transformation, and clearly distinguishes whether it is a problem of insect swarm activity or environmental interference, shortens troubleshooting time, reduces ineffective energy consumption, stabilizes the environment, and improves the metabolic efficiency of black soldier flies.

[0025] Furthermore, the present invention achieves precise control of ventilation volume by quantifying environmental deviation. The adjustment strategy based on ratio grading can accurately match the degree of environmental interference, avoid excessive adjustment or insufficient response, improve environmental stability, and increase the activity of black soldier flies, thereby improving the efficiency of black soldier flies in treating chicken manure.

[0026] Furthermore, the present invention determines whether the transformation is complete through the pupation process characterization parameters, and after the transformation is completed, determines whether the transformation treatment is qualified through the insect feces texture homogeneity characterization value, thereby reducing the risk of incomplete transformation, preventing energy waste caused by excessive treatment, and improving the metabolic efficiency of black soldier flies, thereby improving the black soldier flies' efficiency in treating chicken manure.

[0027] Furthermore, the present invention achieves accurate compensation for the number of insect populations by quantifying the differences in insect feces texture, reduces the residual rate of chicken manure, improves the utilization rate of black soldier flies, quickly responds to unqualified processing conditions, adjusts the number of black soldier flies in time, shortens the conversion cycle, and thus improves the efficiency of black soldier flies in processing chicken manure. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 This is a schematic diagram of the module connections of the intelligent chicken manure treatment system based on insect bioconversion farming according to an embodiment of the present invention;

[0029] Figure 2 This is a flow chart of an embodiment of the present invention for determining whether black soldier flies have converted chicken manure within a preset time;

[0030] Figure 3 This is a flow chart of determining whether the environmental impact on the process of black soldier flies converting chicken manure is qualified according to an embodiment of the present invention;

[0031] Figure 4 This is a flow chart of an embodiment of the present invention for determining whether the conversion process of chicken manure by black soldier flies has ended. DETAILED DESCRIPTION

[0032] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are merely used to explain the present invention and are not intended to limit the present invention.

[0033] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of protection of the present invention.

[0034] It should be pointed out that the data in this embodiment are obtained by comprehensive analysis and evaluation of the historical test data and the corresponding historical test results of the three months before this test. It can be understood by those skilled in the art that the present invention can determine the above parameters for a single item by selecting the value with the highest proportion as the preset standard parameter based on the data distribution, using weighted summation to use the obtained value as the preset standard parameter, substituting each historical data into a specific formula and using the value obtained by the formula as the preset standard parameter or other selection methods, as long as the present invention can clearly define the different specific situations in the single determination process through the obtained values.

[0035] See also Figure 1 As shown, it is a schematic diagram of the module connection of the intelligent chicken manure treatment system based on insect bioconversion breeding according to an embodiment of the present invention.

[0036] The embodiment of the present invention provides an intelligent chicken manure treatment system based on insect bioconversion farming, comprising:

[0037] A data acquisition module is used to obtain in real time the conversion images, temperature data and humidity data of the chicken manure sample treated by several black soldier flies;

[0038] a placement determination module connected to the data acquisition module, for determining a uniform placement or regional placement of black soldier flies based on the color uniformity of the chicken manure image in the converted image;

[0039] a conversion process analysis module, which is respectively connected to the data acquisition module and the delivery determination module, and is used to determine whether the black soldier flies have converted the chicken manure within a preset time based on the coverage area ratio of the chicken manure treatment area image in the conversion image of the corresponding delivery method, and determine whether the impact of the environment on the black soldier flies' conversion of chicken manure is qualified based on the temperature and humidity deviation jointly determined by the temperature data and the humidity data;

[0040] an adjustment module, connected to the delivery determination module and the conversion process analysis module, respectively, for determining, under the condition that the influence of the environment on the chicken manure conversion process of the black soldier flies is unqualified, to increase the ventilation volume of the chicken manure conversion process of the black soldier flies based on the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation;

[0041] a conversion result analysis module connected to the adjustment module, for determining whether the conversion process of the chicken manure by the black soldier fly is completed based on the pupation process characterization parameter of the chicken manure treatment area image, and for determining whether the conversion process of the chicken manure by the black soldier fly is qualified based on the insect feces texture homogeneity characterization value of the chicken manure treatment area image;

[0042] An optimization module is connected to the conversion result analysis module and is used to determine the increase in the number of black soldier flies based on the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value under the condition that the black soldier flies fail to convert chicken manure.

[0043] Specifically, the present invention obtains images and environmental parameters of the processing process in real time through the data acquisition module; the delivery determination module intelligently selects the delivery strategy according to the color uniformity of chicken manure, the conversion process analysis module combines the coverage area change and environmental data to evaluate the processing progress and environmental adaptability, the adjustment module automatically optimizes the ventilation volume when the environment is abnormal, and the result analysis module judges the processing completion and quality through the pupation process and the texture characteristics of insect feces; the optimization module dynamically adjusts the number of insect populations when the quality does not meet the standards, reduces manual intervention, improves the stability of the black soldier fly's chicken manure conversion process, and reduces the possibility of processing interruption due to temperature and humidity fluctuations. The precise delivery strategy improves the utilization rate of black soldier flies, shortens the black soldier fly processing cycle, and thus improves the black soldier fly's processing efficiency of chicken manure.

[0044] In an embodiment of the present invention, the conversion image includes an image of chicken manure and a black soldier fly before treatment, and an image of the chicken manure treatment area during treatment. The black soldier fly image includes an image of a black soldier fly larva and an image of a black soldier fly pupa.

[0045] In the embodiment of the present invention, the black soldier fly morphology image and the chicken manure morphology image are acquired by real-time shooting with a camera at a frequency of 30 frames per second.

[0046] In the embodiment of the present invention, the temperature data are temperature values ​​collected in real time by multiple temperature sensors in the chicken manure processing area, and the humidity data are relative humidity values ​​collected in real time by multiple humidity sensors.

[0047] In the embodiment of the present invention, the temperature of the chicken manure treatment area is set to 25°C to 35°C, preferably 30°C, the humidity is set to 60% to 70% relative humidity, preferably 65%, and the ventilation volume is set to 0.5m 3 ~1m 3 , preferably 0.7m 3 .

[0048] Specifically, the placement determination module determines the method of placing black soldier flies into the chicken manure based on a comparison result of the color uniformity of the chicken manure image and a preset color uniformity;

[0049] If the color uniformity is less than or equal to the preset color uniformity, determining that the black soldier fly release method is a regional release method;

[0050] If the color uniformity is greater than the preset color uniformity, it is determined that the release method of the black soldier flies is a uniform release method.

[0051] In the embodiment of the present invention, the preset color uniformity value is 0.7. The preset color uniformity is obtained by taking the average color uniformity of several historical uniform delivery methods, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0052] In an embodiment of the present invention, the uniform delivery method is to evenly sprinkle the black soldier flies in the chicken manure in the same number. During the implementation process, the chicken manure treatment area is divided into several rectangular areas of equal area, and the same number of black soldier flies is delivered to each rectangular area. The shape of the above-mentioned area is not specifically limited.

[0053] In the embodiment of the present invention, the regional placement method is to divide the chicken manure treatment area into several rectangular areas of different areas, and place different numbers of black soldier flies in each rectangular area.

[0054] During implementation, the color uniformity is 1 minus the ratio of the standard deviation of the chicken manure image grayscale value to the mean of the chicken manure image grayscale value. The chicken manure image grayscale value is the grayscale value of the chicken manure image obtained by the placement determination module through image processing.

[0055] Specifically, the present invention analyzes the color uniformity of chicken manure images in real time and dynamically selects regional or uniform delivery strategies to adapt to the distribution of chicken manure, so that the amount of black soldier flies delivered is highly consistent with the distribution density of chicken manure, avoiding excessive concentration or dispersion of insect swarms, improving resource utilization, dynamic delivery to reduce excessive use of black soldier flies, and precise delivery to shorten the processing time of black soldier flies.

[0056] See also Figure 2 As shown, it is a flow chart of an embodiment of the present invention for determining whether black soldier flies convert chicken manure within a preset time.

[0057] Specifically, the conversion process analysis module determines whether the black soldier flies have converted the chicken manure within a preset time based on a comparison result of the coverage area ratio of the chicken manure treatment area image of the corresponding delivery method and a preset coverage area ratio under the condition that the black soldier flies are delivered into the chicken manure;

[0058] If the coverage area ratio is less than or equal to the preset coverage area ratio, it is determined that the black soldier flies have not converted the chicken manure within the preset time;

[0059] If the coverage area ratio is greater than the preset coverage area ratio, it is determined that the black soldier flies transform the chicken manure within the preset time.

[0060] In the embodiment of the present invention, the preset coverage area ratio is 0.82, and the preset color uniformity is obtained by taking the average of the coverage area ratios of several historical conversions of chicken manure by black soldier flies within a preset time. However, the above values ​​are not limited to this, and those skilled in the art can also adjust the values ​​according to actual needs.

[0061] In the embodiment of the present invention, the preset time is set to 72 hours. The preset time is the average duration of several historical conversions of chicken manure by black soldier flies. Those skilled in the art can also adjust the value according to actual needs.

[0062] During the implementation process, the coverage area ratio is the ratio of the number of pixels in the black soldier fly area to the number of pixels in the entire chicken manure treatment area. Through the image processing algorithm, the black soldier fly body area in the chicken manure treatment area image is identified and separated to generate a binary mask image that identifies the black soldier fly pixels. In the statistically obtained black soldier fly mask image, the total number of all pixels identified as black soldier flies is the total number of pixels in the entire chicken manure treatment area. The image processing algorithm is one of the threshold segmentation or semantic segmentation models based on machine learning, which is not specifically limited. The above-mentioned calculation process of counting the number of pixels is a conventional process and will not be repeated here.

[0063] It is understandable that the conversion of chicken manure by black soldier flies requires sufficient contact with the chicken manure. Even if the initial release is sufficient, if the black soldier flies fail to effectively cover the chicken manure area due to uneven distribution, environmental discomfort, or death, the actual conversion efficiency will be significantly reduced. In this case, the coverage area percentage can directly reflect whether the black soldier flies are involved in the chicken manure treatment, rather than just the "quantity" of the initial release. The size of black soldier fly larvae increases significantly during the feeding process. The smaller the larvae, the lower the coverage area percentage. The larvae grow rapidly and feed intensively on chicken manure, and the coverage area increases significantly.

[0064] See also Figure 3 As shown, it is a flow chart of an embodiment of the present invention for determining whether the impact of the environment on the black soldier fly conversion chicken manure process is qualified.

[0065] Specifically, the conversion process analysis module determines whether the impact of the environment on the black soldier fly conversion process of chicken manure is qualified based on a comparison result of the temperature and humidity deviation jointly determined by the temperature data and the humidity data with the preset temperature and humidity deviation, under the condition that the black soldier fly has not converted the chicken manure within the preset time;

[0066] If the temperature and humidity deviation is less than or equal to the preset temperature and humidity deviation, it is determined that the effect of the environment on the black soldier fly conversion process of chicken manure is qualified;

[0067] If the temperature and humidity deviation is greater than the preset temperature and humidity deviation, it is determined that the impact of the environment on the black soldier fly conversion process of chicken manure is unqualified.

[0068] In the embodiment of the present invention, the preset temperature and humidity deviation value is 0.1. The preset temperature and humidity deviation is obtained by taking the average of the qualified temperature and humidity deviations of several historical environmental effects on the black soldier fly conversion process into chicken manure. However, the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0069] During implementation, the temperature and humidity deviation is the ratio of the absolute value of the difference between the maximum temperature and the minimum temperature within the preset time to the average temperature multiplied by the ratio of the absolute value of the difference between the maximum humidity and the minimum humidity within the preset time to the average humidity.

[0070] Specifically, the present invention evaluates environmental stability by quantifying temperature and humidity fluctuations, accurately identifies the comprehensive impact of environmental fluctuations on biological transformation, clearly distinguishes whether it is a problem of insect swarm activity or environmental interference, shortens troubleshooting time, reduces ineffective energy consumption, stabilizes the environment, and improves the metabolic efficiency of black soldier flies.

[0071] Specifically, the adjustment module determines, under the condition that it is determined that the influence of the environment on the process of converting chicken manure into black soldier flies is unqualified, to adjust the ventilation volume of the process of converting chicken manure into black soldier flies according to the comparison result of the preset temperature and humidity deviation and the ratio of the temperature and humidity deviation with the preset ratio;

[0072] If the ratio is less than or equal to the preset ratio, it is determined that the ventilation volume of the black soldier fly conversion chicken manure process is increased to a corresponding value using a first preset ventilation volume adjustment coefficient of 1.05;

[0073] If the ratio is greater than the preset ratio, it is determined to increase the ventilation volume of the black soldier fly conversion chicken manure process to a corresponding value using a second preset ventilation volume adjustment coefficient of 1.09;

[0074] The ratio is the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation.

[0075] In the embodiment of the present invention, the preset ratio range is [0.6, 0.7], preferably 0.65, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0076] In an embodiment of the present invention, the increased ventilation volume is the product of the ventilation volume and a preset ventilation volume adjustment coefficient. The preset ventilation volume adjustment coefficient includes a first preset ventilation volume adjustment coefficient, which has a value of 1.05 and a second preset ventilation volume adjustment coefficient, which has a value of 1.09. In order to ensure that the adjusted ventilation volume meets actual needs, the adjustment range should not be too large, so the corresponding adjustment coefficient is set to control the adjustment range.

[0077] During the implementation process, the cooling and heating of the ventilation are automatically adjusted according to the temperature and humidity deviation, and the cold / hot air mode is automatically switched according to the direction of the temperature and humidity deviation. When the temperature is high, the cooling ventilation is started, when the temperature is low, the heating ventilation is started, when the humidity is high, the dehumidification ventilation is started, and when the humidity is low, the humidification ventilation is started.

[0078] Specifically, the present invention achieves precise control of ventilation volume by quantifying environmental deviation. The adjustment strategy based on ratio grading can accurately match the degree of environmental interference, avoid excessive adjustment or insufficient response, improve environmental stability, and increase the activity of black soldier flies, thereby improving the efficiency of black soldier flies in treating chicken manure.

[0079] See also Figure 4 As shown, it is a flow chart of determining whether the conversion process of chicken manure by black soldier flies is completed according to an embodiment of the present invention.

[0080] Specifically, the conversion result analysis module determines whether the conversion process of the chicken manure by the black soldier fly is completed based on the comparison result of the pupation process characteristic parameter of the chicken manure treatment area image and the preset pupation process characteristic parameter under the condition of determining the ventilation amount adjustment;

[0081] If the pupation process characteristic parameter is less than or equal to the preset pupation process characteristic parameter, it is determined that the conversion process of the chicken manure by the black soldier fly has not ended;

[0082] If the pupation process characterization parameter is greater than the preset pupation process characterization parameter, it is determined that the conversion process of the black soldier fly to the chicken manure has ended.

[0083] In the embodiment of the present invention, the preset pupation process characterization parameter value is 0.92. The preset pupation process characterization parameter is obtained by taking the average value of the pupation process characterization parameters of several historical black soldier flies' conversion processes of chicken manure that have ended. However, the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0084] During implementation, the parameter characterizing the pupation process is the ratio of the number of black soldier fly pupae in the chicken manure treatment area image to the total number of black soldier flies, where the total number of black soldier flies includes the number of black soldier fly larvae plus the number of black soldier fly pupae.

[0085] It is understandable that under the condition that the conversion process of chicken manure by black soldier flies has not been completed, the duration of the conversion process of chicken manure by black soldier flies is extended.

[0086] Specifically, the conversion result analysis module determines whether the conversion process of the chicken manure by the black soldier flies has been completed based on the comparison result of the insect feces texture homogeneity representation value of the chicken manure treatment area image with the preset insect feces texture homogeneity representation value;

[0087] If the insect feces texture homogeneity characterization value is less than or equal to the preset insect feces texture homogeneity characterization value, it is determined that the black soldier fly's conversion process of chicken manure is qualified;

[0088] If the insect feces texture homogeneity characterization value is greater than the preset insect feces texture homogeneity characterization value, it is determined that the black soldier fly's conversion process of chicken manure is unqualified.

[0089] In the embodiment of the present invention, the preset insect feces texture homogeneity characterization value is 0.15. The preset insect feces texture homogeneity characterization value is obtained by taking the average value of the insect feces texture homogeneity characterization values ​​of several historical black soldier flies that have passed the chicken manure conversion treatment. However, the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0090] During the implementation process, the characterization value of the insect feces texture homogeneity is the product of the inverse of the texture contrast of the chicken manure treatment area image and the inverse of the standard deviation of the grayscale values ​​of the pixels in the insect feces area of ​​the chicken manure treatment area image. The chicken manure treatment area image is processed to obtain a grayscale co-occurrence matrix, and the texture contrast of the chicken manure treatment area image is calculated by the grayscale co-occurrence matrix. The grayscale value standard deviation of the pixels in the insect feces area is calculated. The calculation process of the texture contrast and the grayscale value standard deviation are both conventional image processing processes and will not be repeated here.

[0091] Specifically, the present invention determines whether the transformation is complete through the pupation process characterization parameters, and after the transformation is completed, determines whether the transformation treatment is qualified through the insect feces texture homogeneity characterization value, thereby reducing the risk of incomplete transformation, preventing energy waste caused by excessive treatment, and improving the metabolic efficiency of black soldier flies, thereby improving the black soldier flies' efficiency in treating chicken manure.

[0092] Specifically, the optimization module determines the optimized number of black soldier flies based on a comparison result of a difference between a representation value of insect feces texture homogeneity and a preset representation value of insect feces texture homogeneity and a preset difference, under the condition that the black soldier flies are determined to have failed to convert chicken manure into chicken manure;

[0093] If the difference is less than or equal to the preset difference, it is determined to increase the number of black soldier flies to a corresponding value using a first preset number adjustment coefficient of 1.15;

[0094] If the difference is greater than the preset difference, it is determined to increase the number of black soldier flies to a corresponding value using a second preset number adjustment coefficient of 1.30;

[0095] The difference is the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value.

[0096] In the embodiment of the present invention, the preset difference value range is [0.35, 0.39], preferably 0.37, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0097] In an embodiment of the present invention, the increased number of black soldier flies is the product of the number of black soldier flies and the preset number adjustment coefficient. The preset number adjustment coefficient includes a first preset number adjustment coefficient, which has a value of 1.15 and a second preset number adjustment coefficient, which has a value of 1.15. The number of black soldier flies is the number of black soldier fly larvae, including the number of black soldier flies in the uniform delivery method and the regional delivery method. In order to ensure that the adjusted number of black soldier flies meets actual needs, the adjustment range should not be too large, so the corresponding adjustment coefficient is set to control the adjustment range.

[0098] Specifically, the present invention achieves accurate compensation for the number of insect populations by quantifying the differences in the texture of insect feces, reduces the residual rate of chicken manure, improves the utilization rate of black soldier flies, quickly responds to unqualified processing conditions, adjusts the number of black soldier flies in time, shortens the conversion cycle, and thus improves the efficiency of black soldier flies in processing chicken manure.

[0099] Thus far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art may make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will fall within the scope of protection of the present invention.

[0100] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that the present invention is susceptible to various modifications and variations. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. An intelligent chicken manure treatment system based on insect bioconversion breeding, characterized in that: include: A data acquisition module is used to obtain in real time the conversion images, temperature data and humidity data of the chicken manure sample treated by several black soldier flies; a placement determination module connected to the data acquisition module, for determining a uniform placement or regional placement of black soldier flies based on the color uniformity of the chicken manure image in the converted image; a conversion process analysis module, which is respectively connected to the data acquisition module and the delivery determination module, and is used to determine whether the black soldier flies have converted the chicken manure within a preset time based on the coverage area ratio of the chicken manure treatment area image in the conversion image of the corresponding delivery method, and to determine whether the impact of the environment on the chicken manure conversion process of the black soldier flies is qualified based on the temperature and humidity deviation jointly determined by the temperature data and the humidity data; an adjustment module, connected to the delivery determination module and the conversion process analysis module, respectively, for determining, under the condition that the influence of the environment on the chicken manure conversion process of the black soldier flies is unqualified, to increase the ventilation volume of the chicken manure conversion process of the black soldier flies based on the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation; a conversion result analysis module connected to the adjustment module, for determining whether the conversion process of the chicken manure by the black soldier fly is completed based on the pupation process characterization parameter of the chicken manure treatment area image, and for determining whether the conversion process of the chicken manure by the black soldier fly is qualified based on the insect feces texture homogeneity characterization value of the chicken manure treatment area image; An optimization module is connected to the conversion result analysis module and is used to determine the increase in the number of black soldier flies based on the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value under the condition that the black soldier flies fail to convert chicken manure.

2. The chicken manure intelligent treatment system based on insect bioconversion breeding according to claim 1 is characterized in that: The placement determination module determines that the black soldier fly placement method is a regional placement method based on a comparison result that the color uniformity of the chicken manure image is less than or equal to a preset color uniformity.

3. The chicken manure intelligent treatment system based on insect bioconversion breeding according to claim 1 is characterized in that: The placement determination module determines that the placement method of the black soldier flies is a uniform placement method based on a comparison result that the color uniformity of the chicken manure image is greater than a preset color uniformity.

4. The intelligent chicken manure treatment system based on insect bioconversion breeding according to claim 1 is characterized in that: The conversion process analysis module determines that the black soldier flies fail to convert the chicken manure within a preset time based on a comparison result that the coverage area ratio of the chicken manure treatment area image of the corresponding delivery method is less than or equal to a preset coverage area ratio, and determines that the influence of the environment on the black soldier fly conversion process of chicken manure is unqualified based on a comparison result that the temperature and humidity deviation jointly determined by the temperature data and the humidity data is greater than the preset temperature and humidity deviation.

5. The chicken manure intelligent treatment system based on insect bioconversion breeding according to claim 4 is characterized in that: The adjustment module determines, under the condition that it is determined that the influence of the environment on the process of black soldier flies converting chicken manure is unqualified, to increase the ventilation volume of the process of black soldier flies converting chicken manure by a first preset ventilation volume adjustment coefficient based on a comparison result that the ratio of a preset temperature and humidity deviation to the temperature and humidity deviation is less than or equal to a preset ratio.

6. The chicken manure intelligent treatment system based on insect bioconversion breeding according to claim 5 is characterized in that: The adjustment module determines that the ventilation volume of the black soldier fly conversion process to chicken manure is increased by a second preset ventilation volume adjustment coefficient based on a comparison result that the ratio of the preset temperature and humidity deviation to the temperature and humidity deviation is greater than the preset ratio, under the condition that it is determined that the influence of the environment on the black soldier fly conversion process to chicken manure is unqualified.

7. The intelligent chicken manure treatment system based on insect bioconversion breeding according to claim 6 is characterized in that: Under the condition of determining the adjustment of the ventilation volume, the conversion result analysis module determines that the black soldier fly's conversion process of chicken manure has not been completed based on the comparison result that the pupation process characterization parameter of the chicken manure treatment area image is less than or equal to the preset pupation process characterization parameter, and extends the duration of the black soldier fly's conversion process of chicken manure.

8. The intelligent chicken manure treatment system based on insect bioconversion breeding according to claim 7 is characterized in that: The conversion result analysis module determines, under the condition of determining the ventilation volume adjustment, that the conversion process of the black soldier fly to the chicken manure is completed based on the comparison result that the pupation process characterization parameter of the chicken manure treatment area image is greater than the preset pupation process characterization parameter, and determines that the conversion process of the black soldier fly to the chicken manure is qualified based on the comparison result that the insect feces texture homogeneity characterization value of the chicken manure treatment area image is greater than the preset insect feces texture homogeneity characterization value.

9. The intelligent chicken manure treatment system based on insect bioconversion breeding according to claim 8 is characterized in that: The optimization module determines that the number of black soldier flies is increased by a first preset number adjustment coefficient based on a comparison result that the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value is less than or equal to the preset difference, under the condition that the black soldier flies fail to convert the chicken manure.

10. The intelligent chicken manure treatment system based on insect bioconversion breeding according to claim 9 is characterized in that: The optimization module determines that the black soldier fly's conversion process of chicken manure is unqualified, and based on the comparison result that the difference between the insect feces texture homogeneity characterization value and the preset insect feces texture homogeneity characterization value is greater than the preset difference, determines to increase the number of black soldier flies by a second preset number adjustment coefficient.

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