Farm fence batch weighing system and weighing method thereof

Abstract

The invention discloses a farm fence batch weighing system, which comprises a feed tower, a control computer, a feeding module and a feeding system, and is characterized in that an empty cylinder sensor and a weighing sensor are arranged on the feed tower and are used for monitoring the storage amount of feed in the feed tower in real time and transmitting monitoring data to the control computer; the control computer is used for setting the demand quantity of each hopper through the control page and generating a corresponding feed supply instruction according to the demand quantity; the feeding module is connected with the control computer, calculates the feed supply weight each time according to the set demand quantity, and sends a control signal to the feeding system; the invention further discloses a batch weighing method for the fences of the farm. Through real-time monitoring of equipment such as the empty cylinder sensor, the weighing sensor and the capacitive sensor, the storage amount of the feed in the feed tower can be accurately mastered, it is ensured that each hopper obtains the accurate feed supply amount, and the problem of feed waste or insufficient supply can be effectively solved through high-precision control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of livestock farming, in particular to a batch weighing system for livestock farm pens and a weighing method thereof. BACKGROUND

[0002] In modern farming, feed management is an important link to ensure the healthy growth and production efficiency of animals. Traditional feed supply methods mainly rely on manual operation, through manual feeding or mechanized equipment for feed feeding. These methods have many problems, mainly including the following aspects:

[0003] Inaccurate feed supply: due to the error of manual operation, or the unstable control of mechanized equipment, the amount of feed supply often cannot accurately meet the needs of each pen. Too much or too little feed supply will affect the growth and health of animals, and even cause waste or nutritional imbalance.

[0004] Unable to realize real-time monitoring and dynamic adjustment: most of the existing feed supply systems lack real-time monitoring function and cannot timely grasp the actual storage amount of feed in the feed tower and the demand of each hopper. In addition, if abnormal situations occur during feed supply, such as insufficient or excessive feed supply of a certain hopper, the existing system usually cannot effectively adjust dynamically.

[0005] Low degree of automation: although some farms have adopted automated equipment for feed supply, these devices usually only have a single quantitative feeding function and lack precise control means, which cannot ensure that each feed supply can be accurately to the demand of each hopper. More seriously, some traditional systems still rely on manual or semi-automatic operation, which has a large space for manual intervention, resulting in non-standard operation and affecting the stability and efficiency of the system.

[0006] Difficulty in coordinating multiple hoppers: for large-scale farms, multiple hoppers usually need to supply feed at the same time, which requires the system to accurately coordinate the feed supply work of each hopper to ensure that each pen receives the required feed on time. However, in existing technology, how to effectively coordinate and manage the feed supply process of multiple hoppers to avoid waste or deficiency caused by uneven feed distribution is still a technical problem. SUMMARY

[0007] The purpose of the present application is to provide a batch weighing system for livestock farm pens and a weighing method thereof, which can accurately control feed feeding, dynamically adjust feed quantity, and realize multi-hopper coordinated feeding. The system should have high automation, real-time monitoring and accurate weighing functions to ensure the accuracy, real-time and efficiency of feed supply, thereby improving the production efficiency of the farm and reducing feed waste.

[0008] The technical scheme adopted by the present application to solve its technical problems is:

[0009] According to a first aspect of the present application, a farm field batch weighing system is provided, comprising a feed tower, a control computer, a feeding module and a feeding system, the feed tower is provided with an empty cylinder sensor and a weighing sensor for real-time monitoring of the storage amount of feed in the feed tower and transmitting the monitoring data to the control computer; the control computer is used to set the required amount of each hopper through the control page and generate the corresponding feed supply instruction according to the required amount; the feeding module is connected with the control computer and calculates the weight of each feed supply according to the set required amount and sends a control signal to the feeding system; the feeding system comprises a feed scale, a capacitive sensor and an automatic discharge valve, the feed scale, the capacitive sensor and the automatic discharge valve are connected with the control computer, the feed scale accurately weighs the feed according to the control signal, and the automatic discharge valve comprises a hopper arranged in the breeding field and connected with the feed scale, a connecting crane connected with the hopper and a travelling crane system for controlling the movement of the connecting crane, the control computer accurately controls the discharge of the feed through the automatic discharge valve to ensure that the feed is accurately discharged according to the required amount and sent to each hopper.

[0010] In some embodiments, the automatic discharge valve further comprises a hopper switch device for automatically closing the hopper when the feed in the hopper reaches a set weight.

[0011] In some embodiments, a liquid level sensor is arranged in the hopper for real-time monitoring of the residual amount of feed in the hopper and feeding back to the control computer according to the monitoring data, and the control computer intelligently adjusts the required amount of the hopper according to the actual residual amount.

[0012] According to a second aspect of the present application, a farm field batch weighing method is provided, comprising the following steps:

[0013] S1, using the empty cylinder sensor and the weighing sensor arranged on the feed tower, real-time monitoring of the storage amount of feed in the feed tower, and transmitting the data to the control computer;

[0014] S2, setting the required amount of each hopper through the control page on the control computer, and the control computer generating the corresponding feed supply instruction according to the required amount;

[0015] S3, the control computer calculates the weight of each feed supply according to the set required amount through the connected feeding module and sends a control signal to the feeding system;

[0016] S4, the feed scale in the feeding system accurately weighs the feed according to the control signal, and the control computer accurately controls the work of the automatic discharge valve through the connected capacitive sensor and the automatic discharge valve to ensure that the feed is accurately discharged according to the required amount and sent to each hopper;

[0017] S5. During the feeding process, the control computer dynamically adjusts according to real-time data to ensure that each hopper receives the correct amount of feed;

[0018] S6. When the feed reaches the set requirement, the control computer instructs the feeding system to stop feeding, completing a batch of weighing operations.

[0019] In some embodiments, the S5 step monitors the remaining amount of feed in the hopper in real time through a liquid level sensor in the hopper, and feeds back the monitoring data to the control computer, which intelligently adjusts the requirement of the hopper according to the actual remaining amount.

[0020] In some embodiments, the control computer dynamically calculates and adjusts the requirement of each hopper through an algorithm, automatically increases the feeding amount when the remaining rate of the hopper is below the set threshold, and automatically reduces the feeding amount when the remaining rate is above the set threshold. The specific formula is as follows:

[0021]

[0022] Where R is the remaining rate of the hopper, representing the remaining proportion of feed in the current hopper, with a value range of [0, 1], where 0 represents no feed at all and 1 represents complete sufficiency of feed; Rmin is the lower threshold of the remaining rate, below which the feeding amount needs to be increased; Rmax is the upper threshold of the remaining rate, above which the feeding amount needs to be reduced; Qcurrent is the actual feeding amount of the current hopper, Q_target is the target feeding amount, i.e. the ideal amount of feed required for each hopper; k is an adjustment coefficient, when k = 0.1, the adjustment amplitude is 10% of the current target feeding amount; Rmin and Rmax are system preset thresholds, when the remaining rate of the hopper is below Rmin, the control computer will increase the feeding amount; when the remaining rate is above Rmax, the control computer will reduce the feeding amount; when the remaining rate is between Rmin and Rmax, the feeding amount maintains the target value Qtarget.

[0023] In some embodiments, the S5 step controls the computer to optimize the weight, speed and time of each feed supply according to real-time data feedback and historical data, and the specific formula is as follows:

[0024] According to the real-time data, the weight of each feed supply is optimized, i.e. the feeding amount Q is adjusted according to the real-time deviation, with the goal of making the amount of each supply close to the target value Qtarget;

[0025] Q adjust = Q target +k1·(Q target -Q current )

[0026] According to real-time data, the speed of each supply, i.e. the feeding speed V, is optimized according to the feedback of the feeding time, and the target is to ensure that the feeding speed is consistent with the target speed Vtarget;

[0027]

[0028] According to real-time data, the time of each supply, i.e. the feeding time T, is optimized according to the feeding speed and the target amount, and the feeding time is adjusted according to the optimization results of the feeding amount and the feeding speed;

[0029]

[0030] Wherein, Qtarget is the target feeding amount, indicating the ideal amount of feed required for each hopper; Qcurrent is the current feeding amount; Ttarget is the target feeding time, indicating the time during which the feeding should be carried out under ideal conditions; Tcurrent is the current feeding time; Vtarget is the target feeding speed, indicating the ideal feeding rate; Vcurrent is the current feeding speed; k1, k2, k3 are adjustment coefficients, used to adjust the optimization sensitivity of the speed, the weight and the time; (Q target -Q current is the difference between the target feeding amount and the current feeding amount, and the feeding amount is corrected by the adjustment coefficient k1; represents the target feeding speed, represents the current feeding speed, and the feeding speed is optimized by the adjustment coefficient k2; the new feeding time Tadjust is calculated by the adjusted feeding amount Qadjust and the feeding speed Vadjust, so as to ensure that the feeding task is completed within a reasonable time.

[0031] According to a third aspect of the present application, a computer device is provided, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method when executing the computer program.

[0032] According to a fourth aspect of the present application, a computer readable storage medium is provided, which stores a computer program, wherein the computer program is executed by a processor to implement the above-mentioned method.

[0033] The beneficial effects of the present application are as follows:

[0034] 1. Real-time monitoring using devices such as empty cylinder sensors, weighing sensors, and capacitive sensors allows for precise control of feed storage levels in the feed tower, ensuring accurate feed supply to each hopper. This high-precision control effectively avoids feed waste or insufficient supply. The method utilizes automated equipment such as a control computer, feeding module, delivery system, and automatic discharge valve to reduce the need for manual intervention. Automated control and adjustment significantly improve operational efficiency and reduce human error. The control computer can dynamically adjust based on real-time data, ensuring the feed supply to each hopper is always optimal. This real-time regulation allows for flexible adjustments based on environmental changes and feed usage, guaranteeing system stability and accuracy.

[0035] 2. Precise weighing and control ensure accurate feed dispensing, reducing waste and guaranteeing sufficient nutrition for each animal, thus improving overall farming efficiency. Through a computer and central control system, farm managers can set and monitor the feed demand for each hopper via a control page, gaining real-time insight into its operation, optimizing feed utilization, reducing operation time, and improving overall management. Precise feed control not only improves animal growth rate and health but also reduces production losses caused by uneven feed distribution. This efficient system ensures high production efficiency, ultimately enhancing the farm's overall productivity. The modular design allows for adjustment of the number of hoppers or other parameters as needed. The system is scalable and flexible, adaptable to farms of different sizes and their specific requirements. Attached Figure Description

[0036] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 This is a schematic diagram of a batch feeding system for livestock pens according to the present invention.

[0038] Figure 2 This is a flowchart of a batch weighing system for a livestock farm pen according to the present invention.

[0039] Figure 3 This is a schematic diagram of the structure of a batch feeding system for a livestock farm pen according to the present invention;

[0040] Figure 4 This is a perspective view of a batch feeding system for livestock pens according to the present invention.

[0041] In the diagram: 1. Feed tower; 2. Empty cylinder sensor; 3. Weighing sensor; 4. Control computer; 5. Feeding module; 6. Feeding system; 7. Feed scale; 8. Capacitive sensor; 9. Automatic discharge valve; 10. Hopper. Detailed Implementation

[0042] The present invention will be further described in detail below with reference to the embodiments.

[0043] refer to Figures 1-4 This invention provides a batch feeding system for livestock farm pens, comprising:

[0044] Feed tower 1;

[0045] The empty cylinder sensor 2 and the weighing sensor 3 installed on the feed tower 1 are used to detect the storage status of feed in the feed tower 1.

[0046] The control computer 4, which is connected to the empty cylinder sensor 2 and the load cell 3, is used to receive sensor data and execute corresponding control commands.

[0047] The feeding module 5, which is connected to the control computer 4, is configured to control the feed supply according to demand.

[0048] The feeding system 6, connected to the control computer 4, is used to accurately measure the weight of each feeding.

[0049] The control computer 4 has a control page that allows users to set the required amount for each hopper 10.

[0050] The system consists of a feed tower 1, sensors, a control computer 4, a feeding module 5, and a feeding system 6.

[0051] Feed Tower 1: Equipped with a large-capacity feed storage facility, it facilitates long-term feeding and reduces the frequency of manual feeding.

[0052] sensor:

[0053] Empty cylinder sensor 2 and weighing sensor 3: installed at the bottom of feed tower 1, to monitor the remaining amount of feed in feed tower 1 in real time, ensuring uninterrupted feed supply.

[0054] Control computer 4: Collects data through sensors (both empty cylinder sensor 2 and weighing sensor 3 are connected to control computer 4) and executes control commands for feed supply. Control computer 4 has a user-friendly control page where users can set the required amount for each hopper 10.

[0055] Feeding module 5: Automatically calculates the weight of feed to be supplied each time based on the set demand and generates a control signal.

[0056] Feeding system 6: includes feed scale 7, capacitive sensor 8 and automatic feeding valve 9. Control computer 4 connects to these three components via network to perform precise feed feeding control.

[0057] The feed scale 7 is equipped with a weighing sensor, which is used to accurately measure the weight of each feed supply (the feed scale 7 accurately weighs the weight of each feed supply according to the control signal).

[0058] Capacitive sensor 8 is used to monitor the feed height in each hopper 10.

[0059] The automatic feeding valve 9 includes a hopper 10 (one hopper 10 per pen) installed in the breeding pen and connected to the feed scale 7, a connecting auger connected to the hopper 10, and a traveling system for controlling the movement of the connecting auger. The traveling system controls the movement of the connecting auger to ensure that the feed is accurately fed into each hopper 10.

[0060] The automatic feeding valve 9 also includes a hopper switch device for monitoring feed weight. When the feed reaches a set weight, the hopper 10 is automatically closed to prevent overfeeding. Specifically, the hopper switch device is located on the hopper 10 and connected to the control computer 4.

[0061] The empty cylinder sensor 2 and the weighing sensor 3 can detect the storage status of feed in real time, ensuring the accuracy of each feeding. The system can accurately feed according to the set demand, avoiding overfeeding or underfeeding and improving feed utilization. It reduces manual intervention, saving workers the time of manual weighing and feeding, thus improving overall work efficiency. It can manage multiple pens at the same time, quickly responding to feeding needs and saving manpower and time.

[0062] The control computer 4 provides an easy-to-use control interface, allowing users to conveniently set and adjust the feed requirements of each hopper 10. The control computer 4 can display feed and weight data in real time, helping users to understand the feed management situation in a timely manner. Through precise measurement and control, feed waste can be effectively reduced, and breeding costs can be lowered. Precise feeding can also reduce the quality decline caused by prolonged feed storage.

[0063] Ensuring animals consistently receive sufficient and balanced feed is beneficial to their health and growth, improving breeding efficiency; a stable feeding environment can reduce animal stress and increase their productivity; the system records data from each feed supply, facilitating subsequent analysis and evaluation, and improving the scientific nature of management decisions; real-time monitoring and recording can provide early warnings of abnormal situations, reducing operational risks; it can be integrated with other breeding management systems to form a more comprehensive breeding management plan; the system is flexibly designed to adapt to the feeding needs of different types of animals.

[0064] The feeding system 6 includes a feed scale 7, a capacitive sensor 8, and an automatic feeding valve 9. The control computer 4 is connected to the feed scale 7, the capacitive sensor 8, and the automatic feeding valve 9 respectively, and controls the feed scale 7 to feed accurately. The automatic feeding valve 9 includes a hopper 10 for connecting to the feed scale 7, a connecting auger connected to the hopper 10 for feeding the feed, and a trolley system for controlling the movement of the connecting auger.

[0065] The combination of feed scale 7 and capacitive sensor 8 enables high precision in feed weighing and dispensing, ensuring that each feed delivery meets the set requirements and avoiding waste. The system automatically controls feed scale 7 and the dispensing valve via control computer 4, reducing reliance on manual labor, improving work efficiency, and minimizing the possibility of human error. Control computer 4 provides unified management of feed scale 7, capacitive sensor 8, and automatic dispensing valve 9, making operation simple, monitoring, and adjustment easy. This design effectively utilizes space, allowing the connecting auger to move flexibly and precisely deliver feed to designated locations, adapting to the needs of different farming environments.

[0066] The integration of the automatic feeding valve 9 with the trolley system enables faster and more accurate feeding from the hopper 10, reducing equipment uptime, improving overall operational efficiency, and thus lowering operating costs. The control computer 4 can receive sensor data in real time, facilitating monitoring of feed usage and timely adjustments, thereby enhancing the scientific nature of management decisions. The automatic feeding valve 9 is designed to effectively reduce the exposure time of feed to air, thus maintaining feed quality and ensuring that animals receive fresh and safe food.

[0067] refer to Figures 1-4 The present invention also provides a method for batch weighing of feed in a breeding farm pen, comprising the following steps:

[0068] S1. Using the empty cylinder sensor 2 and the weighing sensor 3 installed on the feed tower 1, the storage amount of feed in the feed tower 1 is monitored in real time, and the data is transmitted to the control computer 4.

[0069] S2. By setting the required amount for each hopper 10 through the control page on the control computer 4, the control computer 4 generates corresponding feed supply instructions according to the required amount.

[0070] S3. The control computer 4 calculates the weight of each feed supply according to the set demand through the connected feeding module 5, and sends a control signal to the feeding system 6.

[0071] S4. The feed scale 7 in the feeding system 6 weighs the feed precisely according to the control signal. The control computer 4 precisely controls the operation of the automatic feeding valve 9 through the connected capacitive sensor 8 and the automatic feeding valve 9 to ensure that the feed is accurately fed to each hopper according to the required amount.

[0072] S5. During the feed supply process, the control computer 4 makes dynamic adjustments based on real-time data to ensure that each hopper 10 receives an accurate feed supply.

[0073] S6. When the feed reaches the set required amount, the control computer 4 commands the feeding system to stop feeding, completing a batch weighing operation.

[0074] Real-time monitoring and data transmission of storage capacity in the material tower

[0075] The feed storage level in the feed tower 1 is monitored in real time by installing an empty cylinder sensor 2 and a weighing sensor 3. Data is transmitted to the control computer 4 using a data acquisition system, ensuring the system has real-time knowledge of the feed status and providing data support for subsequent operations. Through the control page on the control computer 4, operators can directly set the required feed amount for each hopper 10. The control computer 4 automatically generates precise feeding instructions based on the required amount, avoiding errors and efficiency issues associated with manual operation. The feed scale 7 in the feeding system 6 measures the weight of the feed supplied each time using a high-precision sensor. The control computer 4 dynamically adjusts the feeding amount based on real-time data feedback, ensuring that the supply to each hopper 10 accurately meets the required amount.

[0076] The control computer 4 monitors the feeding process in real time, precisely controlling feed supply through the connected capacitive sensor 8 and automatic feeding valve 9. During feeding, the control computer 4 dynamically adjusts the feeding amount based on real-time data to ensure that the needs of each hopper 10 are met; the capacitive sensor 8 monitors the feed height in each hopper 10 and precisely controls it through the automatic feeding valve 9. The control computer 4 adjusts the action of the feeding valve based on real-time feedback data to ensure accurate feeding; the control computer 4 adjusts the feeding amount based on real-time monitoring data, and once the set demand is reached, the system automatically issues a stop signal to terminate feeding, ensuring accurate and waste-free feeding each time.

[0077] In step S5 above, by setting a liquid level sensor, a weighing sensor or an empty cylinder sensor in the hopper 10, the amount of feed remaining in the hopper 10 is monitored in real time, and the monitoring data is fed back to the control computer 4. The control computer 4 intelligently adjusts the feed demand of the hopper 10 according to the actual amount of feed remaining.

[0078] By monitoring the amount of feed remaining in the hopper 10 in real time, the control computer 4 can dynamically adjust the feed supply of the hopper 10 according to actual needs, ensuring that the amount of feed in each hopper 10 accurately matches the needs and avoiding overfeeding or underfeeding. Through automated sensors and intelligent control computers, manual intervention can be greatly reduced, work efficiency can be improved, and human error can be reduced.

[0079] Precise monitoring of feed reserves allows the system to replenish feed promptly when it is nearly depleted, ensuring that each hopper 10 always has sufficient feed, preventing production interruptions due to insufficient supply, and improving the stability and predictability of aquaculture management. Intelligent adjustment of demand optimizes feed usage and reduces waste. The system can adjust the feed supply based on the actual reserve in each hopper 10, achieving more refined resource management, reducing feed waste, and improving aquaculture efficiency. Sensors within the hopper 10 monitor data in real time and feed it back to the control computer 4, enabling the feeding system to adjust based on real-time data. This dynamic adjustment not only improves the accuracy of the feeding process but also enhances the system's adaptability to environmental changes.

[0080] The control computer 4 dynamically calculates and adjusts the demand of each hopper 10 through an algorithm. When the residual rate of hopper 10 is lower than a set threshold, the feeding rate is automatically increased; when the residual rate is higher than the set threshold, the feeding rate is automatically decreased. The specific formula is as follows:

[0081]

[0082] Where R is the residual rate of hopper 10, representing the proportion of feed remaining in hopper 10, with a value range of [0,1], where 0 indicates no feed and 1 indicates sufficient feed; Rmin is the lower limit threshold of the residual rate, below which the feed supply needs to be increased; Rmax is the upper limit threshold of the residual rate, above which the feed supply needs to be reduced; Qcurrent is the actual feed supply of hopper 10, and Q_target is the target feed supply, i.e., the ideal amount of feed required for each hopper 10; k is an adjustment coefficient, when k = 0.1, the adjustment range is 10% of the current target feed supply; Rmin and Rmax are system preset thresholds. When the residual rate of hopper 10 is lower than Rmin, the control computer 4 increases the feed supply; when the residual rate is higher than Rmax, the control computer 4 reduces the feed supply; when the residual rate is between Rmin and Rmax, the feed supply remains at the target value Qtarget.

[0083] The system dynamically adjusts the feed supply based on the real-time residual rate of each hopper 10, ensuring that the feed supply to each hopper 10 is always within the optimal range, avoiding excessive or insufficient feed supply. Through precise control, the system helps improve the stability and efficiency of feed supply. When the residual rate is higher than the set threshold (Rmax), the system automatically reduces the feed supply to avoid feed waste; when the residual rate is lower than the set lower threshold (Rmin), the system automatically increases the feed supply to prevent insufficient feed from affecting production or aquaculture management. This dynamic adjustment method significantly reduces unnecessary resource waste.

[0084] By automatically calculating and adjusting the feed supply through algorithms, the frequency of human intervention and operation is reduced, making the system more intelligent. Operators no longer need to frequently check the remaining amount in hopper 10; the control computer 4 automatically adjusts the feed supply according to the set threshold, improving work efficiency and accuracy. This solution can precisely adjust the feed supply based on the actual remaining amount, effectively improving feed utilization. By ensuring timely adjustment of the supply, overfeeding or underfeeding is avoided, thereby optimizing resource use, reducing feed costs, and improving overall operating efficiency.

[0085] The system can flexibly adjust its feeding strategy based on real-time data, exhibiting high adaptability. For example, when feed demand fluctuates due to environmental changes or other factors, the control computer 4 can adjust promptly, ensuring a rapid response to different changes. By monitoring and dynamically adjusting the feed supply in real time, managers can obtain more accurate data and analysis results. The system can flexibly adjust the feed supply range by adjusting the coefficient (k), helping managers make better data-driven decisions and optimize feed supply strategies.

[0086] The control computer 4 optimizes and adjusts the weight, speed, and time of each feed delivery based on real-time data feedback and historical data. The specific formula is as follows:

[0087] The weight of each feed supply is optimized based on real-time data, that is, the feed amount Q is adjusted according to the real-time deviation, with the goal of making the amount of each supply close to the target value Qtarget.

[0088] Q adjust =Q target +k1·(Q target -Q current )

[0089] The feeding speed is optimized based on real-time data, that is, the feeding speed V is adjusted according to the feedback of the feeding time, with the goal of ensuring that the feeding speed matches the target speed Vtarget.

[0090]

[0091] The feeding time is optimized based on real-time data. That is, the feeding time T is adjusted according to the feeding speed and target quantity, and the feeding time is adjusted according to the optimization results of the feeding quantity and speed.

[0092]

[0093] Where Qtarget is the target feed rate, representing the ideal feed amount required per hopper; Qcurrent is the current feed amount; Ttarget is the target feed time, representing the ideal duration of feed supply; Tcurrent is the current feed time; Vtarget is the target feed rate, representing the ideal feed rate; Vcurrent is the current feed rate; k1, k2, k3 are adjustment coefficients used to adjust the optimization sensitivity of speed, weight, and time; (Q target -Q current The value is the difference between the target feed rate and the current feed rate. The feed rate is adjusted by adjusting the coefficient k1. Indicates the target feeding speed. This indicates the current feeding speed. The feeding speed is optimized by adjusting the coefficient k2. The new feeding time Tadjust is calculated by using the adjusted feeding quantity Qadjust and the feeding speed Vadjust to ensure that the feeding task is completed within a reasonable time.

[0094] By adjusting the feed quantity (Q) through real-time data feedback, the system ensures that the amount of feed supplied each time is close to the target value Qtarget, reducing feeding deviation. This helps ensure that the amount of feed in hopper 10 is always within the ideal range, avoiding overfeeding or underfeeding and improving feeding accuracy. The feeding speed (V) is optimized based on feeding time feedback, ensuring that the actual feeding speed matches the target feeding speed (Vtarget). This makes the feeding process more efficient, ensuring that feed is supplied within the specified time and avoiding excessively fast or slow feeding speeds that burden the system or result in inappropriate supply. By adjusting the feed quantity (Qadjust) and feeding speed (Vadjust), a new feeding time (Tadjust) is calculated, ensuring that the feeding task is completed within a reasonable time. This means that the feeding process can flexibly adapt to changing needs and can efficiently and accurately meet the time requirements of each feeding.

[0095] The system can adjust its feeding strategy based on real-time and historical data, dynamically optimizing the feeding quantity, speed, and time. This adaptability ensures the system can cope with different changing conditions, such as the initial state of hopper 10 and environmental conditions, guaranteeing the stability and consistency of the feeding process. Through precise adjustment of the feeding quantity and optimization of the feeding speed and time, feed waste can be effectively reduced. For example, if the current feeding quantity deviates significantly, the system will automatically adjust to approach the target quantity, thus avoiding resource waste caused by overfeeding or underfeeding. Automated optimization reduces the need for manual intervention while ensuring the feeding system operates under optimal conditions, thereby improving overall work efficiency. By dynamically adjusting various parameters, the system can complete feeding tasks more flexibly and efficiently, reducing unnecessary time and resource consumption.

[0096] Through continuous optimization and adjustment, the feeding system can maintain a stable feeding process under changing conditions. Regardless of changes in load or hopper status, the system provides real-time feedback and adjustments, preventing drastic fluctuations and ensuring that each supply meets the target. By adjusting coefficients (k1, k2, k3), users can finely control the adjustment range of feeding quantity, speed, and time. This allows for the customization of the most suitable adjustment strategy based on actual production needs, ensuring more accurate and efficient feeding.

[0097] The control computer 4 is connected to the capacitive sensor 8 and the automatic feeding valve 9 to precisely control the amount of material fed each time.

[0098] The present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-described method for batch weighing feed in livestock pens.

[0099] The present invention also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method for batch weighing feed in livestock pens.

[0100] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0101] Those skilled in the art will understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0102] The above descriptions are merely some embodiments of the present invention. For those skilled in the art, various modifications and improvements can be made without departing from the inventive concept of the present invention, and these all fall within the protection scope of the present invention.

Claims

1. A feedlot pen batching system characterized by, The application relates to a livestock feeding system, which comprises a feed tower, a control computer, a feeding module and a feeding system, wherein the feed tower is provided with an empty cylinder sensor and a weighing sensor for monitoring the storage amount of feed in the feed tower in real time and transmitting the monitoring data to the control computer; The control computer is used for setting the required amount of each hopper through a control page and generating corresponding feed supply instructions according to the required amount; the feeding module is connected with the control computer and calculates the weight of each feed supply according to the set required amount, and sends a control signal to the feeding system; the feeding system comprises a feed scale, a capacitive sensor and an automatic discharging valve, and the feed scale, the capacitive sensor and the automatic discharging valve are all connected with the control computer; the feed scale accurately weighs the feed according to the control signal; the automatic discharging valve comprises a hopper arranged in a breeding site and connected with the feed scale, a connecting crane connected with the hopper and a travelling crane system for controlling the movement of the connecting crane, and the control computer accurately controls the feed discharging of the automatic discharging valve, so that the feed is accurately discharged according to the required amount and sent to each hopper.

2. The farm pen batch weighing system of claim 1, wherein, The automatic discharging valve further comprises a hopper switch device for automatically closing the hopper when the feed in the hopper reaches the set weight.

3. The farm pen batch weighing system of claim 1, wherein, A liquid level sensor is arranged in the hopper for monitoring the residual amount of feed in the hopper in real time, and the monitoring data is fed back to the control computer, and the control computer intelligently adjusts the required amount of the hopper according to the actual residual amount.

4. A method of batch weighing in a farm pen, characterized in that, The application further discloses a livestock feeding method, which comprises the following steps: S1, monitoring the storage amount of feed in the feed tower in real time by using the empty cylinder sensor and the weighing sensor arranged on the feed tower, and transmitting the data to the control computer; S2, setting the required amount of each hopper through a control page on the control computer, and generating corresponding feed supply instructions according to the required amount by the control computer; S3, calculating the weight of each feed supply according to the set required amount by the control computer through the connected feeding module, and sending a control signal to the feeding system; S4, accurately weighing the feed according to the control signal by the feed scale in the feeding system, and accurately controlling the work of the automatic discharging valve by the control computer through the connected capacitive sensor and the automatic discharging valve, so that the feed is accurately discharged according to the required amount and sent to each hopper; S5, dynamically adjusting according to real-time data by the control computer during the feed supply process, so that each hopper obtains accurate feed supply amount; S6, stopping the feeding system to feed when the feed reaches the set required amount, and completing a batch weighing operation.

5. The method of claim 4, wherein, In the S5 step, the residual amount of feed in the hopper is monitored in real time by the liquid level sensor in the hopper, and the monitoring data is fed back to the control computer, and the control computer intelligently adjusts the required amount of the hopper according to the actual residual amount.

6. The method of claim 5, wherein, The control computer dynamically calculates and adjusts the required amount of each hopper through an algorithm, automatically increases the feeding amount when the residual rate of the hopper is lower than a set threshold, and automatically reduces the feeding amount when the residual rate is higher than the set threshold, and the specific formula is as follows: Wherein, R is the residual rate of the hopper, indicating the current proportion of feed remaining in the hopper, the value range is [0, 1], wherein 0 represents no feed at all, and 1 represents complete feed; Rmin is the lower limit threshold of the residual rate, below which the feed amount needs to be increased; Rmax is the upper limit threshold of the residual rate, above which the feed amount needs to be reduced; Qcurrent is the actual feed amount of the current hopper, Q_target is the target feed amount, that is, the ideal amount of feed required for each hopper; k is an adjustment coefficient, when k = 0.1, the adjustment range is 10% of the current target feed amount; Rmin and Rmax are system preset thresholds, when the residual rate of the hopper is lower than Rmin, the control computer will increase the feed amount; when the residual rate is higher than Rmax, the control computer will reduce the feed amount; when the residual rate is between Rmin and Rmax, the feed amount is maintained at the target value Qtarget.

7. The method of claim 4, wherein, The control computer in the S5 step optimizes and adjusts the weight, speed and time of each feed supply according to real-time data feedback and historical data, and the specific formula is as follows: The weight of each feed supply is optimized according to real-time data, that is, the feed amount Q is adjusted according to real-time deviation, and the target is to make the amount of each supply close to the target value Qtarget; Q adjust = Q target + k1 · (Q target - Q current ) The speed of each supply is optimized according to real-time data, that is, the feed speed V is adjusted according to the feedback of the feed time, and the target is to ensure that the feed speed conforms to the target speed Vtarget; The time of each supply is optimized according to real-time data, that is, the feed time T is adjusted according to the feed speed and the target amount, and the feed time is adjusted according to the optimization results of the feed amount and speed; Wherein, Qtarget is the target feed amount, indicating the ideal amount of feed required for each hopper; Qcurrent is the current feed amount; Ttarget is the target feeding time, indicating the time the feeding should last under ideal circumstances; Tcurrent is the current feeding time; Vtarget is the target feeding speed, indicating the ideal feeding rate; Vcurrent is the current feeding speed; k1, k2, k3 are adjustment coefficients, used to adjust the optimization sensitivity of speed, weight and time; (Q target -Q current ) is the difference between the target feed amount and the current feed amount, and the feed amount is corrected by the adjustment coefficient k1; represents the target feeding speed, represents the current feeding speed, and the feeding speed is optimized by the adjustment coefficient k2; the new feeding time Tadjust is calculated by the adjusted feed amount Qadjust and the feeding speed Vadjust, to ensure that the feeding task is completed within a reasonable time.

8. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the computer program to realize the method of any one of claims 4-7.

9. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to realize the method of any one of claims 4-7.

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