Intelligent method and system for ventilation adjustment

Abstract

The invention relates to the technical field of ventilation adjustment, in particular to an intelligent method and system for ventilation adjustment, and solves the technical problem that the overall ventilation effect is poor in the prior art. The method comprises the following steps: acquiring environment monitoring data of a plurality of partitions in a chicken house; the environment monitoring data is used for representing the breeding environment state and the ventilation state in the partition; based on the environment monitoring data, the breeding environment state change condition and the ventilation state change condition of each partition are evaluated, and the adjustment amplitude of the ventilation devices in the partitions is determined; and adjusting the ventilation devices in the plurality of partitions according to the adjustment amplitude.

Description

Technical Field

[0001] This invention relates to the field of ventilation control technology, and more specifically to an intelligent method and system for ventilation control. Background Technology

[0002] In intensive poultry farming, proper ventilation in poultry houses is crucial for maintaining a healthy farming environment. Effective ventilation can promptly remove harmful gases, regulate temperature and humidity, provide a suitable environment for poultry growth, ensure their health, and ultimately improve the economic benefits of poultry farming.

[0003] In existing technologies, poultry houses typically employ fixed-direction or location-direction ventilation methods, introducing fresh air into the house through ventilation devices. However, this type of ventilation is difficult to adapt to the compartmentalized structure within the poultry house, and airflow is easily obstructed by partitions, resulting in insufficient ventilation in some areas, the inability to expel harmful gases in a timely manner, uneven temperature and humidity regulation, and overall poor ventilation, which affects the quality of the poultry farming environment. Summary of the Invention

[0004] To address the technical problem of poor overall ventilation performance in existing technologies, the present invention aims to provide an intelligent method and system for ventilation regulation, the specific technical solution of which is as follows: This application provides a smart method for ventilation control, comprising: Acquire environmental monitoring data from multiple compartments within the chicken house; the environmental monitoring data is used to characterize the breeding environment and ventilation status within the compartments. Based on the environmental monitoring data, the changes in the aquaculture environment and ventilation status of each compartment are evaluated, and the adjustment range of the ventilation devices in the multiple compartments is determined. The ventilation devices within the plurality of compartments are adjusted according to the adjustment range.

[0005] In one possible implementation, the environmental monitoring data includes the air intake distance between the corresponding partition and the chicken house air inlet, the concentration, temperature, and airflow velocity of harmful gases in the partition under the current ventilation state, and the concentration and temperature of harmful gases in the partition under the unventilated state.

[0006] In one possible implementation, the method includes: For each compartment, the parameters for the change of the aquaculture environment state of the compartment are determined based on the concentration and temperature of harmful gases in the compartment under the current ventilation state and the concentration and temperature of harmful gases in the compartment under the non-ventilation state. For each compartment, the ventilation state change parameters of the compartment are determined based on the differences between the compartment and adjacent compartments in the change parameters of the aquaculture environment state, the differences between the airflow velocities under the current ventilation state, and the air intake distance of the compartment. The adjustment range of the ventilation devices within the multiple compartments is determined based on the ventilation state change parameters of the multiple compartments.

[0007] In one possible implementation, the method includes: For each compartment, the aquaculture environment parameters of the compartment under the current ventilation state are determined based on the concentration and temperature of harmful gases in the compartment under the current ventilation state, and the aquaculture environment parameters of the compartment under the unventilated state are determined based on the concentration and temperature of harmful gases in the compartment under the unventilated state. For each compartment, the aquaculture environment state change parameters of the compartment are determined based on the aquaculture environment state parameters and temperature of the compartment under the current ventilation state, and the aquaculture environment state parameters and temperature of the compartment under the non-ventilation state.

[0008] In one possible implementation, the method includes: Based on the ventilation state change parameters of the multiple partitions, the multiple partitions are divided into normal partitions and abnormal partitions; the normal partitions are partitions whose ventilation state change parameters are within a preset threshold range, and the abnormal partitions are partitions whose ventilation state change parameters are outside the preset threshold range. For each abnormal partition, determine the adjustment range of the ventilation device within that abnormal partition.

[0009] In one possible implementation, the method includes: The normal ventilation state change parameters are determined based on the ventilation state change parameters of the normal separation. For each abnormal partition, the adjustment range of the ventilation device within the abnormal partition is determined based on the ventilation state change parameters of the abnormal partition and the ventilation state change parameters of the normal partition.

[0010] In one possible implementation, the method includes: For each abnormal partition, the ventilation device within the abnormal partition is adjusted according to the adjustment range of the ventilation device within the abnormal partition.

[0011] In one possible implementation, the method includes: For each abnormal partition, the current operating power of the ventilation device within the abnormal partition is determined, and the current operating power is adjusted according to the adjustment range of the ventilation device within the abnormal partition to determine the target operating power of the ventilation device within the abnormal partition.

[0012] In one possible implementation, the method includes: Determine the air intake distance between the corresponding partition and the air intake of the chicken house based on the location information of each partition and air inlet in the chicken house. With the ventilation system of the chicken house closed, the concentration and temperature of harmful gases in each compartment under unventilated conditions were obtained; With the ventilation system of the chicken house in operation, the concentration of harmful gases, temperature, and airflow speed in each compartment are acquired in real time under the current ventilation conditions.

[0013] This application provides an intelligent system for ventilation control, comprising: The data acquisition module is used to acquire environmental monitoring data from multiple compartments within the chicken house; the environmental monitoring data is used to characterize the breeding environment and ventilation status within the compartments. The data processing module is used to evaluate the changes in the aquaculture environment and ventilation status of each compartment based on the environmental monitoring data, and to determine the adjustment range of the ventilation devices in the multiple compartments. The control module is used to adjust the ventilation devices within the plurality of compartments according to the adjustment range.

[0014] The present invention has the following beneficial effects: In view of the technical problem of poor overall ventilation effect in existing technologies, this application provides an intelligent method and system for ventilation regulation. By acquiring environmental monitoring data of multiple compartments in the chicken house, this application can comprehensively grasp the breeding environment and ventilation status of each compartment. Then, based on the environmental monitoring data, the changes in the breeding environment and ventilation status of each compartment are evaluated, which can accurately determine the adjustment range of the ventilation device and avoid blind adjustment. In this way, this application can make targeted adjustments to the ventilation device based on the determined adjustment range, thereby effectively improving the ventilation effect of each compartment, solving the problems of uneven airflow and accumulation of harmful gases under fixed wind direction ventilation mode, ensuring the health of chickens, and improving the overall breeding environment quality of the chicken house. Attached Figure Description

[0015] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1This is a system architecture diagram of an intelligent system for ventilation regulation provided in one embodiment of the present invention; Figure 2 This is a flowchart illustrating an intelligent method for ventilation regulation provided in one embodiment of the present invention. Figure 3 This is a flowchart illustrating another intelligent method for ventilation regulation provided in one embodiment of the present invention. Figure 4 This is a flowchart illustrating another intelligent method for ventilation regulation provided in one embodiment of the present invention. Figure 5 This is a flowchart illustrating another intelligent method for ventilation regulation provided in one embodiment of the present invention. Figure 6 This is a flowchart illustrating another intelligent method for ventilation regulation provided in one embodiment of the present invention. Detailed Implementation

[0017] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the following, in conjunction with the accompanying drawings and preferred embodiments, details the specific implementation, structure, features, and effects of an intelligent method and system for ventilation regulation proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0018] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0019] In view of the technical problem of poor overall ventilation effect in existing technologies, this application provides an intelligent method and system for ventilation regulation. By acquiring environmental monitoring data of multiple compartments in the chicken house, this application can comprehensively grasp the breeding environment and ventilation status of each compartment. Then, based on the environmental monitoring data, the changes in the breeding environment and ventilation status of each compartment are evaluated, which can accurately determine the adjustment range of the ventilation device and avoid blind adjustment. In this way, this application can make targeted adjustments to the ventilation device based on the determined adjustment range, thereby effectively improving the ventilation effect of each compartment, solving the problems of uneven airflow and accumulation of harmful gases under fixed wind direction ventilation mode, ensuring the health of chickens, and improving the overall breeding environment quality of the chicken house.

[0020] The following description, in conjunction with the accompanying drawings, details a specific scheme for an intelligent method and system for ventilation regulation provided by the present invention.

[0021] Please see Figure 1The diagram illustrates a system architecture of an intelligent system for ventilation regulation according to an embodiment of the present invention. The intelligent system 10 for ventilation regulation includes a data acquisition module 11, a data processing module 12, and a control module 13.

[0022] The data acquisition module 11 is used to acquire environmental monitoring data from multiple compartments within the chicken house.

[0023] Among them, environmental monitoring data is used to characterize the aquaculture environment and ventilation status within the enclosure.

[0024] In some embodiments, the data acquisition module 11 may consist of sensors deployed in various compartments of the chicken house, including gas sensors, temperature sensors, airflow velocity sensors, etc. The gas sensors are used to detect the concentration of harmful gases, the temperature sensors detect the temperature within the compartment, and the airflow velocity sensors detect the airflow velocity under the current ventilation conditions.

[0025] In addition, the data acquisition module 11 may also include a location positioning unit for determining the location information of each partition and air inlet, and then calculating the air inlet distance. The data collected by the data acquisition module 11 needs to be transmitted to the subsequent data processing module 12 in real time to ensure the timeliness of the data.

[0026] For example, the chicken coop structure in this embodiment can be elongated, with each compartment separated by wire mesh. Each compartment can be equipped with a corresponding ventilation device, all of which ventilate in the same direction and can individually adjust their airflow. Chicken farming typically involves enclosing chickens in cages constructed of materials such as wire mesh. These cages are interconnected and distributed in fixed groups. During the rearing process, chicken droppings naturally accumulate below the cages. To facilitate cleaning and reduce costs, farmers regularly clean the coop, thoroughly removing droppings and other waste. While waiting for cleaning, the organic matter in the droppings is decomposed by microorganisms, which combines with nitrogenous inorganic substances to generate harmful gases such as ammonia. High ammonia concentrations can negatively impact the health of the chickens, thus reducing their economic value. In this application, the data acquisition module 11 can acquire environmental monitoring data from multiple compartments within the chicken coop to facilitate subsequent airflow adjustments.

[0027] The data processing module 12 is used to evaluate the changes in the aquaculture environment and ventilation status of each compartment based on environmental monitoring data, and to determine the adjustment range of the ventilation devices in multiple compartments.

[0028] The data processing module 12 may employ a processor or server with data processing and analysis capabilities to perform relevant calculations and evaluation logic. For example, the data processing module 12 includes: The processor can be a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits used to control the execution of the program in this application.

[0029] A transceiver can be any type of transceiver used to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area network (WLAN), etc.

[0030] Memory can be read-only memory (ROM) or other types of static storage devices capable of storing static information and instructions, random access memory (RAM) or other types of dynamic storage devices capable of storing information and instructions, electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compressed discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but is not limited thereto. Memory can exist independently and be connected to the processor via communication lines. Memory can also be integrated with the processor.

[0031] In some embodiments, the data processing module 12 can also preprocess the environmental monitoring data of multiple compartments in the chicken house, including data sorting, outlier removal, and other operations, and then perform subsequent evaluation calculations based on the preprocessed data to ensure the reliability of the evaluation results.

[0032] The control module 13 is used to adjust the ventilation devices in multiple compartments according to the adjustment range.

[0033] For example, the control module 13 can establish communication with the ventilation devices in each compartment via wireless or wired connection, and accurately send adjustment commands to the corresponding ventilation devices to achieve real-time control of the operating status of the ventilation devices.

[0034] Based on the above system architecture, this application achieves fully automated processing from environmental data acquisition to ventilation device adjustment through the collaborative work of various modules, which can specifically solve the problem of poor ventilation in poultry houses and provide a more stable breeding environment for poultry.

[0035] Please see Figure 2 The diagram illustrates a flowchart of an intelligent method and system for ventilation regulation according to an embodiment of the present invention. The method includes the following steps: Step 201: Obtain environmental monitoring data from multiple compartments within the chicken house.

[0036] Among them, environmental monitoring data is used to characterize the aquaculture environment and ventilation status within the enclosure.

[0037] In chicken coop farming scenarios, multiple partitions are formed by dividing the space with wire mesh or other dividers, and each partition houses a certain number of chickens. Environmental monitoring data is the foundation for subsequent analysis of the farming environment and ventilation status. It can comprehensively cover key information reflecting the environment and ventilation conditions within each partition, ensuring the accuracy of subsequent assessment results.

[0038] In some embodiments, environmental monitoring data includes the air intake distance between the corresponding partition and the chicken house air inlet, the concentration, temperature, and airflow velocity of harmful gases in the partition under the current ventilation state, and the concentration and temperature of harmful gases in the partition under the unventilated state.

[0039] For example, this application can deploy corresponding sensors in each compartment to collect environmental monitoring data. For instance, the sensors include gas sensors, temperature sensors, and airflow velocity sensors. The gas sensors are used to detect the concentration of harmful gases, the temperature sensors detect the temperature within the compartment, and the airflow velocity sensors detect the airflow velocity under the current ventilation conditions. The main gas affecting the health of chickens in the chicken house is ammonia, and the harmful gas in this embodiment can be ammonia.

[0040] In one possible implementation, this application can determine the air intake distance between the corresponding partition and the air intake of the chicken house based on the location information of each partition and air intake in the chicken house.

[0041] For example, the air intake distance of a partition can be measured by measuring the distance between the partition on the side closest to the air intake and the air intake.

[0042] In addition, when the ventilation system in the chicken house is closed, the concentration and temperature of harmful gases in each compartment under unventilated conditions are obtained; when the ventilation system in the chicken house is open, the concentration, temperature and airflow speed of harmful gases in each compartment under the current ventilation conditions are obtained in real time.

[0043] Data from the unventilated state can serve as a baseline for comparing and analyzing the impact of ventilation on the internal environment. Data from the current ventilated state reflects the real-time environmental and ventilation conditions, providing a real-time basis for determining the adjustment range.

[0044] Step 202: Based on environmental monitoring data, assess the changes in the aquaculture environment and ventilation status of each compartment, and determine the adjustment range of the ventilation devices in multiple compartments.

[0045] The changes in the aquaculture environment are used to characterize the degree of improvement or deterioration of the aquaculture environment within the compartments before and after ventilation, while the changes in ventilation status are used to characterize the impact of the ventilation device operation on parameters such as airflow within the compartments. Through a comprehensive evaluation of these two types of changes, this application can accurately determine whether the current ventilation of each compartment meets the aquaculture requirements, and thus determine the extent to which the ventilation device needs to be adjusted.

[0046] For example, harmful gases (such as ammonia) in chicken houses are mainly generated by the combination of chicken manure with nitrogen-containing inorganic substances in the air during the decomposition of chicken manure by microorganisms, and the decomposition efficiency of microorganisms is affected by temperature. Therefore, this application can reflect changes in the state of the breeding environment by analyzing comparative data of harmful gas concentration and temperature.

[0047] Furthermore, due to the semi-enclosed environment of the chicken house, the ventilation effect of the partitions near the air inlet is usually better than that of the partitions far away from the air inlet. Therefore, this application can also evaluate the impact of airflow attenuation on the ventilation effect based on data such as air inlet distance and airflow velocity, and then analyze the changes in ventilation status.

[0048] In this way, this application can accurately analyze the changes in the aquaculture environment and ventilation status of each compartment through environmental monitoring data, and thus determine a more reasonable adjustment range for the ventilation device.

[0049] Step 203: Adjust the ventilation devices in multiple compartments according to the adjustment range.

[0050] In some embodiments, this application can determine the adjustment range of the ventilation devices in each compartment based on step 202 described above, and then send adjustment commands to the ventilation devices in each compartment through the control system. After receiving the commands, the ventilation devices can adjust their operating status according to the corresponding adjustment range, thereby achieving precise optimization of the ventilation situation in each compartment.

[0051] Based on the above technical solution, this application can comprehensively understand the breeding environment and ventilation status of each compartment by acquiring environmental monitoring data of multiple compartments in the chicken house. Then, based on the environmental monitoring data, the changes in the breeding environment and ventilation status of each compartment are evaluated, and the adjustment range of the ventilation device can be accurately determined, avoiding blind adjustment. In this way, this application can make targeted adjustments to the ventilation device based on the determined adjustment range, thereby effectively improving the ventilation effect of each compartment, solving the problems of uneven airflow and accumulation of harmful gases under fixed wind direction ventilation, ensuring the health of chickens, and improving the overall breeding environment quality of the chicken house.

[0052] As one possible embodiment of this application, combined with Figure 2 ,like Figure 3 As shown, step 202 above can be achieved through the following steps: Step 301: For each compartment, determine the environmental state change parameters of the compartment based on the concentration and temperature of harmful gases in the compartment under the current ventilation state and the concentration and temperature of harmful gases in the compartment under the non-ventilation state.

[0053] The aquaculture environment status change parameter is used to characterize the degree of impact of current ventilation on the status of the separated aquaculture environment. The larger this parameter, the more significant the improvement effect of current ventilation on the status of the separated aquaculture environment.

[0054] It's important to note that during chicken farming, harmful gases such as ammonia can threaten the health of chickens, affecting not only egg production but also, in severe cases, causing death due to ammonia poisoning. Therefore, it's crucial to monitor the concentration of ammonia and other harmful gases in each compartment of the chicken house. Ammonia in the chicken house is primarily generated when chicken manure is decomposed by microorganisms and combines with nitrogenous inorganic substances in the air. Higher concentrations of ammonia and other harmful gases pose a greater risk to the chickens. The decomposition efficiency of microorganisms is affected by temperature; the closer the temperature within each compartment is to the optimal temperature for microorganisms, the higher the decomposition efficiency, meaning the faster ammonia is produced.

[0055] The ventilation device in the partition of this application can increase the air circulation, so that harmful gases such as ammonia produced by the accumulation of chicken manure when it is oxidized by microorganisms can be discharged from the chicken house, thereby reducing the concentration of harmful gases in each partition of the chicken house and improving the breeding environment of the chicken house.

[0056] Therefore, this application can determine the change parameters of the breeding environment status of each compartment by combining the concentration and temperature of harmful gases in each compartment before and after ventilation, so as to assess the degree of influence of the ventilation status of the ventilation device in the current compartment on the breeding environment status of the compartment.

[0057] Step 302: For each compartment, determine the ventilation status change parameters of the compartment based on the differences between the compartment and adjacent compartments in the change parameters of the aquaculture environment, the differences between the airflow velocities under the current ventilation status, and the air intake distance of the compartment.

[0058] The ventilation status change parameter characterizes the severity of the aquaculture environment in a given compartment under the current ventilation conditions. A larger ventilation status change parameter indicates a worse aquaculture environment in that compartment under the current ventilation conditions. Conversely, a smaller ventilation status change parameter indicates a better aquaculture environment in that compartment under the current ventilation conditions.

[0059] It should be noted that, in addition to the impact of the concentration and temperature of harmful gases within the compartments on the breeding environment, the structure and location of each compartment in the chicken house also affect the ventilation's effect on regulating the breeding environment. When ventilating the chicken house, a directional airflow is formed between the air inlets and outlets. Fresh air enters the chicken house through the air inlets and the original gases containing harmful gases are discharged through the air outlets.

[0060] However, the obstruction between the partitions and the air inlet distance affect the airflow velocity. The greater the air inlet distance, the greater the impact of the obstruction between the partitions. As the airflow continues to be resisted by the partitions, its velocity gradually decreases. Simultaneously, due to the influence of harmful gas flow, the air in partitions further away from the air inlet contains a higher proportion of harmful gases discharged from the preceding partitions, and a lower proportion of fresh air. This results in higher ammonia levels in partitions far from the air inlet within the chicken house. To assess the impact of the ventilation equipment itself on the ventilation status, this application not only needs to determine the actual changes in the ventilation status of each partition, but also needs to further eliminate the influence of the air inlet distance on the ventilation status by considering the air inlet distance of each partition.

[0061] Therefore, this application can determine the ventilation state change parameters of each compartment based on the differences between adjacent compartments in the parameters of change of aquaculture environment, the differences in airflow velocity, and the air inlet distance, thereby evaluating the ventilation effect of the ventilation device of the corresponding compartment, so as to facilitate the subsequent adjustment of the amplitude of the ventilation device.

[0062] For example, the parameters for the change in the separated ventilation states satisfy the following formula: in, For separation Ventilation status change parameters Separate adjacent Parameters of changes in the aquaculture environment. For separation Parameters of changes in the aquaculture environment. For separation Separated from adjacent The difference in airflow velocity between different ventilation conditions can be achieved through... Calculations show that Separate adjacent airflow speed, For separation airflow speed, For separation air intake distance, This is a normalization function (e.g., maximum and minimum value normalization) used to map the range of values ​​of the ventilation state change parameters of each segment to the interval [0.8, 1.2]. The larger the value, the greater the difference in the degree of influence of ventilation on the aquaculture environment between the two adjacent partitions. The larger the value, the greater the influence of the partition between the two adjacent partitions on the airflow speed. At the same time, the greater the air intake distance, the greater the influence of the partition location in the chicken house on the ventilation status. Therefore, the above formula can be used to obtain the severity of the breeding environment under the current ventilation status after excluding the partition location factor.

[0063] When calculating the ventilation state change parameters for the first segment, the above formula is used to calculate the required parameters. and A preset reference value or actual environmental data can be obtained from the air inlet. For example, It can be set to 0 (indicating that there is no change in the aquaculture environment at the air inlet). It can be set to the initial airflow velocity at the air inlet or the reference wind speed set by the system.

[0064] Step 303: Determine the adjustment range of the ventilation devices in multiple compartments based on the ventilation state change parameters of multiple compartments.

[0065] Since the ventilation state change parameter can characterize the severity of the aquaculture environment in a corresponding compartment under the current ventilation condition, this application can determine the adjustment range of the ventilation device in the corresponding compartment based on the ventilation state change parameter of each compartment. For example, for a compartment with a low ventilation state change parameter, the ventilation device in that compartment can be weakened or maintained as is, while for a compartment with a high ventilation state change parameter, the ventilation device in that compartment can be strengthened to improve the aquaculture environment in that compartment.

[0066] Based on the above technical solution, this application can determine the environmental state change parameters of each compartment based on the concentration and temperature of harmful gases in the compartment under the current ventilation state and the concentration and temperature of harmful gases in the compartment under the non-ventilated state, thereby assessing the degree of impact of the current ventilation on the environmental state of the compartment. Then, for each compartment, based on the differences between the environmental state change parameters of the compartment and adjacent compartments, the differences between the airflow velocities under the current ventilation state, and the air inlet distance of the compartment, the ventilation state change parameters of the compartment are determined to analyze the severity of the environmental conditions of the compartment under the current ventilation state. In this way, this application can determine the adjustment range of the ventilation devices in multiple compartments based on the ventilation state change parameters of multiple compartments, so as to achieve precise adjustment of the ventilation devices in the future, thereby improving the overall ventilation effect of the chicken house and ensuring the quality of the chicken breeding environment.

[0067] As one possible embodiment of this application, combined with Figure 3 ,like Figure 4 As shown, step 301 above can be achieved through the following steps: Step 401: For each compartment, determine the aquaculture environment parameters of the compartment under the current ventilation state based on the concentration and temperature of harmful gases in the compartment under the current ventilation state, and determine the aquaculture environment parameters of the compartment under the current non-ventilation state based on the concentration and temperature of harmful gases in the compartment under the current non-ventilation state.

[0068] It should be noted that the condition of the separated breeding environment is mainly related to the concentration and generation rate of harmful gases within the separated area. The concentration of harmful gases can be directly obtained through relevant gas sensors. Since harmful gases in chicken houses are typically produced by the decomposition of chicken manure by microorganisms, and the decomposition efficiency of these microorganisms is affected by temperature, the closer the temperature within the separated area is to the optimal temperature for microorganisms, the higher the decomposition efficiency, i.e., the faster the ammonia is produced. Therefore, this application can assess the condition of the separated breeding environment based on the concentration of harmful gases and temperature.

[0069] For example, taking ventilation status as an example, the state parameters of the separated aquaculture environment under the current ventilation status satisfy the following formula: in, Divide under the current ventilation status The parameters of the aquaculture environment. This represents the concentration of harmful gases within the partition under the current ventilation conditions. Divide under the current ventilation status The internal temperature The optimal temperature for microorganisms This is the temperature influence coefficient, representing the degree of influence when the temperature deviates from the optimum temperature. It can be set based on experimental data, for example, 5. 1 is a very small positive number to avoid a denominator of zero; for example, the... The value of 2 can be 0.01, and its dimension is the same as that of its corresponding denominator. Its specific value can be set by the implementer according to the actual situation, and this application embodiment does not make specific limitations. It is a natural exponential function.

[0070] The higher the concentration of harmful gases within the enclosure, the worse the current breeding environment and the lower the breeding environment status parameters. For a Gaussian function, when The value reaches a maximum of 1 at the specified time. The further the temperature deviates from the optimum temperature, the smaller this value becomes. The greater the temperature deviation from the optimum temperature, the less suitable the current temperature is for microbial growth, the lower the rate of harmful gas generation, and the higher the environmental parameters of the aquaculture environment. Environmental parameters of the aquaculture environment in a non-ventilated state (denoted as...) The calculation method for ) is the same as the method described above, and will not be repeated here.

[0071] Step 402: For each compartment, determine the changes in the aquaculture environment status parameters of the compartment based on the current aquaculture environment status parameters and temperature under the current ventilated state, and the aquaculture environment status parameters and temperature of the compartment under the unventilated state.

[0072] Among them, the breeding environment status parameters can intuitively represent the breeding environment status of the separated breeding environment. In addition, there is usually a certain temperature difference between the inside and outside of the chicken house. Ventilation can quickly remove the heat from the chicken house. Therefore, by analyzing the temperature difference between the separated breeding environments before and after ventilation, the degree of change of ventilation on the breeding environment status can also be assessed.

[0073] For example, the parameters for changes in the state of the separated aquaculture environment satisfy the following formula: in, For separation Parameters of changes in the aquaculture environment. Divide under the current ventilation status The parameters of the aquaculture environment. Separation in unventilated state The parameters of the aquaculture environment. Characterizing the separation before and after ventilation Differences between the conditions of the breeding environment Divide under the current ventilation status Temperature separation from unventilated state The greater the temperature difference between the two temperatures, the greater the impact of ventilation on the temperature within the partition. Let be the weighting coefficient, satisfying It can be determined based on statistical analysis of experimental data, for example, it can be... .

[0074] Based on the above technical solution, this application can assess the state of the breeding environment in the separation before and after ventilation based on the concentration and temperature of harmful gases in the separation before and after ventilation. Then, based on the differences between the breeding environment state parameters and temperature in the separation before and after ventilation, the change parameters of the breeding environment state in each separation are determined. The above solution can clearly distinguish the differences in the change of the breeding environment state, providing a quantitative basis for subsequent targeted determination of the adjustment range.

[0075] Furthermore, this application can also filter out ventilation devices within a compartment that need adjustment based on the ventilation status change parameters of the compartment, thereby reducing the risk of system instability caused by frequent adjustments of ventilation devices.

[0076] As one possible embodiment of this application, combined with Figure 3 ,like Figure 5 As shown, step 303 above can be achieved through the following steps: Step 501: Based on the ventilation status change parameters of multiple compartments, divide the multiple compartments into normal compartments and abnormal compartments.

[0077] In some embodiments, a normal separation is defined as a separation where the ventilation state change parameters are within a preset threshold range, and an abnormal separation is defined as a separation where the ventilation state change parameters are outside the preset threshold range. This application can divide these multiple separations based on the preset threshold range, designating those with ventilation state change parameters within the preset threshold range as normal separations and those outside as abnormal separations. The ventilation state of a normal separation is coordinated with adjacent separations and adapted to its own air intake distance, and the ventilation device operates within a safe power range, thus meeting the needs of chicken farming without additional adjustment. Abnormal separations include over-ventilated separations and / or under-ventilated separations; both types of separations require optimization of the ventilation state by adjusting the operating parameters of the ventilation device.

[0078] For example, the preset threshold range can be determined through chicken coop breeding experiments. For instance, when the ventilation status change parameter is less than 0.1, the operating power of the ventilation device often exceeds 120% of the rated power, making it prone to damage due to overheating and overload. When the ventilation status change parameter is greater than 0.4, the ventilation effect is insufficient, and harmful gases easily accumulate, affecting the health of the chickens. Therefore, in this embodiment, the preset threshold range can be (0.1, 0.4).

[0079] Step 502: For each abnormal partition, determine the adjustment range of the ventilation device within the abnormal partition.

[0080] In one possible implementation, this application can determine the normal ventilation state change parameters based on the ventilation state change parameters of the normal partition, and then, for each abnormal partition, determine the adjustment range of the ventilation device within the abnormal partition according to the ventilation state change parameters of the abnormal partition and the normal ventilation state change parameters.

[0081] Among them, the normal ventilation state change parameter is used to characterize the ventilation state of reasonable partitions in the chicken house, and can provide a benchmark value for the adjustment range of ventilation devices in abnormal partitions.

[0082] For example, the adjustment range of the ventilation device within an abnormal partition: in, Abnormal separation The adjustment range of the internal ventilation device Abnormal separation Ventilation status change parameters These are the parameters for normal ventilation status changes. For example, the normal ventilation status change parameter can be obtained by calculating the arithmetic mean of the ventilation status change parameters for all normal partitions. For abnormal partitions with excessive ventilation, the corresponding ventilation status change parameter is less than the normal ventilation status change parameter. In this case, the adjustment range of the ventilation device within the abnormal partition is less than 1, meaning that the ventilation device needs to be reduced. For abnormal partitions with insufficient ventilation, the corresponding ventilation status change parameter is greater than the normal ventilation status change parameter. In this case, the adjustment range of the ventilation device within the abnormal partition is greater than 1, meaning that the ventilation device needs to be enhanced.

[0083] Based on the above technical solution, this application can divide multiple sections into normal sections and abnormal sections (such as insufficient or excessive ventilation) by using multiple ventilation state change parameters. This allows for the determination of the corresponding adjustment range only for the ventilation devices in the abnormal sections. While ensuring reasonable overall ventilation adjustment of the chicken house, this avoids frequent adjustments to all ventilation devices and ensures system stability.

[0084] As one possible embodiment of this application, combined with Figure 5 ,like Figure 6 As shown, step 203 above can be achieved through the following steps: Step 601: For each abnormal partition, adjust the ventilation device within the abnormal partition according to the adjustment range of the ventilation device within the abnormal partition.

[0085] In one possible implementation, this application can determine the current operating power of the ventilation device within each abnormal partition, and adjust the current operating power according to the adjustment range of the ventilation device within the abnormal partition to determine the target operating power of the ventilation device within the abnormal partition.

[0086] The target operating power is the power value that the ventilation device needs to achieve after adjustment. Through the above adjustment, this application can ensure that the ventilation device operates within a reasonable power range after adjustment, while optimizing the ventilation status.

[0087] For example, the target operating power satisfies the following formula: in, Abnormal separation The target operating power of the internal ventilation system Abnormal separation The current operating power of the internal ventilation system, Abnormal separation The adjustment range of the ventilation device inside.

[0088] For example, this application can adjust the ventilation devices in abnormal compartments by sending adjustment commands to the ventilation devices. These adjustment commands can carry a corresponding target operating power. After adjustment, this application can also periodically collect environmental monitoring data from each compartment in the chicken house at a preset frequency, and continue to dynamically adjust the ventilation devices using the above-described method.

[0089] Based on the above technical solution, this application can ensure that the adjustment range of the ventilation device in the abnormal partition matches the degree of abnormality, avoid insufficient or excessive adjustment, effectively improve the ventilation effect of the abnormal partition, solve the problem of harmful gas accumulation, and at the same time ensure the balance of the overall ventilation effect in the chicken house, further improving the quality of the breeding environment.

[0090] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0091] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A smart method for ventilation regulation, characterized in that, include: Acquire environmental monitoring data from multiple compartments within the chicken house; the environmental monitoring data is used to characterize the breeding environment and ventilation status within the compartments. Based on the environmental monitoring data, the changes in the aquaculture environment and ventilation status of each compartment are evaluated, and the adjustment range of the ventilation devices in the multiple compartments is determined. The ventilation devices within the plurality of compartments are adjusted according to the adjustment range.

2. The intelligent method for ventilation regulation according to claim 1, characterized in that, The environmental monitoring data includes the air intake distance between the corresponding partition and the air inlet of the chicken house, the concentration, temperature and airflow speed of harmful gases in the partition under the current ventilation state, and the concentration and temperature of harmful gases in the partition under the unventilated state.

3. The intelligent method for ventilation regulation according to claim 2, characterized in that, Based on the environmental monitoring data, the changes in the aquaculture environment and ventilation status of each compartment are assessed to determine the adjustment range of the ventilation devices within the multiple compartments, including: For each compartment, the parameters for the change of the aquaculture environment state of the compartment are determined based on the concentration and temperature of harmful gases in the compartment under the current ventilation state and the concentration and temperature of harmful gases in the compartment under the non-ventilation state. For each compartment, the ventilation state change parameters of the compartment are determined based on the differences between the compartment and adjacent compartments in the change parameters of the aquaculture environment state, the differences between the airflow velocities under the current ventilation state, and the air intake distance of the compartment. The adjustment range of the ventilation devices within the multiple compartments is determined based on the ventilation state change parameters of the multiple compartments.

4. The intelligent method for ventilation regulation according to claim 3, characterized in that, For each compartment, the environmental state change parameters of the compartment are determined based on the concentration and temperature of harmful gases within the compartment under the current ventilation condition, and the concentration and temperature of harmful gases within the compartment under the unventilated condition. These parameters include: For each compartment, the aquaculture environment parameters of the compartment under the current ventilation state are determined based on the concentration and temperature of harmful gases in the compartment under the current ventilation state, and the aquaculture environment parameters of the compartment under the unventilated state are determined based on the concentration and temperature of harmful gases in the compartment under the unventilated state. For each compartment, the aquaculture environment state change parameters of the compartment are determined based on the aquaculture environment state parameters and temperature of the compartment under the current ventilation state, and the aquaculture environment state parameters and temperature of the compartment under the non-ventilation state.

5. The intelligent method for ventilation regulation according to claim 3, characterized in that, Determining the adjustment range of the ventilation devices within the multiple compartments based on the ventilation state change parameters of the multiple compartments includes: Based on the ventilation state change parameters of the multiple partitions, the multiple partitions are divided into normal partitions and abnormal partitions; the normal partitions are partitions whose ventilation state change parameters are within a preset threshold range, and the abnormal partitions are partitions whose ventilation state change parameters are outside the preset threshold range. For each abnormal partition, determine the adjustment range of the ventilation device within that abnormal partition.

6. The intelligent method for ventilation regulation according to claim 5, characterized in that, For each abnormal partition, determine the adjustment range of the ventilation device within the abnormal partition, including: The normal ventilation state change parameters are determined based on the ventilation state change parameters of the normal separation. For each abnormal partition, the adjustment range of the ventilation device within the abnormal partition is determined based on the ventilation state change parameters of the abnormal partition and the ventilation state change parameters of the normal partition.

7. The intelligent method for ventilation regulation according to claim 5, characterized in that, Adjusting the ventilation devices within the plurality of compartments according to the adjustment range includes: For each abnormal partition, the ventilation device within the abnormal partition is adjusted according to the adjustment range of the ventilation device within the abnormal partition.

8. The intelligent method for ventilation regulation according to claim 7, characterized in that, For each abnormal partition, the ventilation device within the abnormal partition is adjusted according to the adjustment range of the ventilation device within the abnormal partition, including: For each abnormal partition, the current operating power of the ventilation device within the abnormal partition is determined, and the current operating power is adjusted according to the adjustment range of the ventilation device within the abnormal partition to determine the target operating power of the ventilation device within the abnormal partition.

9. The intelligent method for ventilation regulation according to claim 2, characterized in that, Obtain environmental monitoring data from multiple compartments within the chicken house, including: Determine the air intake distance between the corresponding partition and the air intake of the chicken house based on the location information of each partition and air inlet in the chicken house. With the ventilation system of the chicken house closed, the concentration and temperature of harmful gases in each compartment under unventilated conditions were obtained; With the ventilation system of the chicken house in operation, the concentration of harmful gases, temperature, and airflow speed in each compartment are acquired in real time under the current ventilation conditions.

10. An intelligent system for ventilation regulation, characterized in that, An intelligent method for ventilation regulation as described in any one of claims 1-9, wherein the intelligent system for ventilation regulation comprises: The data acquisition module is used to acquire environmental monitoring data from multiple compartments within the chicken house; the environmental monitoring data is used to characterize the breeding environment and ventilation status within the compartments. The data processing module is used to evaluate the changes in the aquaculture environment and ventilation status of each compartment based on the environmental monitoring data, and to determine the adjustment range of the ventilation devices in the multiple compartments. The control module is used to adjust the ventilation devices within the plurality of compartments according to the adjustment range.

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