Intelligent liquid feed method and system

Abstract

The application provides an intelligent liquid feed feeding method and system, and belongs to the technical field of liquid feed feeding. The method first acquires a total target feed quantity, a number of feeders and a first target feeding quantity of each feeder in a feeding task; then, the first feeder is fed according to the first target feeding quantity, the actual feeding quantity of the first feeder is acquired after the feeding is completed, and the feeding error quantity of the first feeder is determined; the remaining total feed quantity of the total target feed quantity is acquired, and the target correction feeding quantity of the second feeder is determined based on the remaining total feed quantity and the remaining feeder quantity. Then, the second feeder is fed according to the target correction feeding quantity, the actual feeding quantity of the second feeder is acquired after the feeding is completed, and the feeding error quantity of the second feeder is determined. According to the current feeder feeding error quantity, the target feeding quantity of the next feeder is dynamically corrected, so that the feeding error of each feeder can be reduced, the actual feeding quantity of each feeder can meet the feeding curve, and the timed and quantitative feeding effect can be achieved.

Description

Technical Field

[0001] This application belongs to the field of liquid feed technology, specifically relating to an intelligent liquid feed feeding method and system. Background Technology

[0002] As pig farming enterprises face increasingly higher demands, they are seeking labor-saving and high-yield feeding methods to improve economic efficiency and reduce costs. Intelligent feeding systems are gradually emerging in China. Because liquid feed reduces waste from dust and dry matter transport and lowers the risk of diseases caused by indigestion in pigs, intelligent feeding systems are increasingly focusing on liquid feed. A single intelligent liquid feed system can support up to 8,000 pigs, perfectly suited to the scale of large-scale pig farms today.

[0003] Existing liquid feed systems typically have multiple discharge mechanisms (such as feed valves) sequentially installed along the discharge pipe for feeding different pig pens. Since the number and quality of pigs vary in each pen, the feed amount for each pen needs to be precisely calculated to conform to the feeding curve. This is usually achieved using a weighing sensor located at the bottom of the mixing tank to provide feedback on the feed amount, thereby controlling the discharge mechanism (feed valve). However, vibrations from the mixing tank and the inertia of the liquid can cause discharge errors. That is, the discharge mechanism in each pen cannot precisely control the feed amount. When the weighing sensor detects a weight change and sends a closing command to the feed valve, some liquid continues to flow out, causing discharge errors. When these errors accumulate significantly, the originally precisely calculated feed amount may be insufficient to feed all the pigs. Summary of the Invention

[0004] Therefore, this application provides an intelligent liquid feed feeding method and system, which helps to solve the problems of large feed drop errors and actual feeding amount not conforming to the feeding curve in existing liquid feed feeding systems.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, this application provides an intelligent liquid feed feeding method, applied to a liquid feed feeding device, the liquid feed feeding device including a stirring mechanism, a weighing sensor, a discharging mechanism, and at least two feeding troughs, the feeding method including:

[0007] Obtain feeding task information; the feeding task information includes the target total amount of feed to be prepared, the number of feeding troughs, and the first target feeding amount for each feeding trough;

[0008] The feeding mechanism is used to feed the first feed trough according to the first target feeding amount. After feeding is completed, the actual feeding amount of the first feed trough is obtained and the feeding error of the first feed trough is determined.

[0009] The remaining total amount of feed prepared in the stirring mechanism is obtained by weighing sensor, and the target corrective feeding amount of the second feeder is determined based on the remaining total amount of feed prepared and the number of remaining feeders.

[0010] The feeding mechanism is used to feed the second feed trough according to the target corrective feeding amount. After feeding is completed, the actual feeding amount of the second feed trough is obtained and the feeding error of the second feed trough is determined.

[0011] Furthermore, the method also includes:

[0012] Obtain the second target feeding amount for each trough in the next feeding task, and compensate and correct the target total feed amount and the corresponding second target feeding amount for each trough in the next feeding task based on the feeding error amount calculated for each trough in the current feeding task.

[0013] Furthermore, after the feeding is completed, the actual feeding amount in the first feeding trough is obtained and the feeding error amount in the first feeding trough is determined, specifically including:

[0014] The actual feeding amount after the first feeding trough is fed is obtained through the feeding mechanism, and the actual feeding amount is compared with the first target feeding amount. The difference between the actual feeding amount and the first target feeding amount is calculated, and the feeding error amount of the first feeding trough is determined based on the difference.

[0015] Furthermore, determining the target corrective feeding amount for the second feed trough based on the total remaining feed amount and the number of remaining feed troughs specifically includes:

[0016] Divide the remaining total amount of feed by the number of remaining feed troughs to obtain the average amount of liquid feed for each remaining feed trough. Use the average amount of liquid feed as the target corrective feeding amount for the second feed trough.

[0017] Furthermore, obtaining the actual feeding amount in the second feeding trough and determining the feeding error amount in the second feeding trough specifically includes:

[0018] The actual feeding amount after the second feeding trough is fed is obtained through the feeding mechanism, and the actual feeding amount of the second feeding trough is compared with the first target feeding amount. The difference between the actual feeding amount of the second feeding trough and the target corrective feeding amount is calculated, and the feeding error amount of the second feeding trough is determined based on the difference.

[0019] Furthermore, the feeding task also includes a liquid feed redundancy, which is less than the target total feed amount, and is used to feed non-adjacent feeding troughs.

[0020] Secondly, this application also provides an intelligent liquid feed feeding system, comprising:

[0021] Liquid feeder, liquid feeder controller, host computer terminal and cloud server;

[0022] The liquid feed feeding device is used to feed the liquid feed according to the control instructions issued by the liquid feed controller, and to obtain the actual feeding amount of each feed trough and monitor the remaining amount of liquid feed.

[0023] The liquid feed controller is used to execute the various steps in the intelligent liquid feed feeding method of the first aspect;

[0024] The host computer terminal is used to set feeding task information, obtain the actual feeding amount of each trough and the remaining amount of the target total feed, and upload the feeding task information, the actual feeding amount of each trough and the remaining amount of the target total feed to the cloud server.

[0025] The cloud server is used to store feeding task information, the actual feeding amount for each trough, and the remaining amount of the target total feed.

[0026] Furthermore, the host computer terminal specifically includes a liquid feed control host and a manual control operation panel; the liquid feed feeding controller is connected to both the liquid feed control host and the manual control operation panel; and the liquid feed control host is connected to the cloud server.

[0027] The application employs the above technical solution and has at least the following beneficial effects:

[0028] This application discloses an intelligent liquid feed feeding method. The method is applied to a liquid feed feeding device, which includes a stirring mechanism, a weighing sensor, a discharging mechanism, and at least two feeding troughs. The feeding method first acquires feeding task information such as the target total feed volume, the number of feeding troughs, and the first target feeding amount for each trough. When discharging feed into the troughs, the actual feeding amount for each trough is acquired, and the feeding error for each trough is calculated and statistically analyzed. This allows for adjustments to the feeding amount in each trough during the next feeding task based on the feeding error, ensuring that the actual feeding amount in each trough conforms to the feeding curve and achieving a timed and quantitative feeding effect. Meanwhile, when feeding each trough according to the feeding sequence of the discharging mechanism, after feeding the first trough according to the first target feeding amount, the total amount of remaining material in the stirring mechanism is obtained by the weighing sensor. Based on the total amount of remaining material and the number of remaining troughs, the target corrective feeding amount for the second trough is determined. The second trough is then fed according to the target corrective feeding amount by the discharging mechanism. By dynamically correcting the target feeding amount of the next trough based on the current feeding error, the feeding error of each trough can be reduced, ensuring that each trough can reach or closely approach the predetermined target feeding amount of liquid material.

[0029] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0030] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below.

[0031] Figure 1 This is a flowchart illustrating an intelligent liquid feed feeding method according to an exemplary embodiment;

[0032] Figure 2 This is an architectural diagram of an intelligent liquid feed feeding system according to an exemplary embodiment. Detailed Implementation

[0033] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of methods consistent with some aspects of this application as detailed in the appended claims.

[0034] The liquid feed feeding device used in this invention is an existing liquid feed feeding device, and its basic structure includes: a mixing and stirring section: a mixing tank and a mixer; a water supply system section: a clean water pump, a clean water valve, a circulating water pump, and a circulating water valve; a dry feed system section: multiple auger motors for feed towers, a horizontal auger motor, and a dry feed insert plate; a power filling system: a centrifugal pump for the mixing tank, a loop selective outgoing valve, and a loop selective return valve; and a sensor input section: a weighing sensor and a flow metering device on the discharge pipe.

[0035] After the dry materials and water are thoroughly mixed in the mixing tank to form a liquid feed, it enters the distribution stage. The distribution stage is divided into filling and discharging. First, a circular filling operation is performed. The thoroughly mixed liquid feed in the mixing tank is filled into the discharge pipe through the main valve (centrifugal pump). During the filling operation, the clean water in the discharge pipe is pushed into the circulating water tank, and the feed is pushed to the last discharge valve of the current feeding task and stops. At this time, the discharge pipe is filled with pressurized liquid feed.

[0036] After filling is complete, the feeding process begins. The feeding valves will open sequentially (for example, the first feeding valve will open the first feeding valve for this feeding, and the second feeding valve will open the second feeding valve for this feeding). At the same time, the centrifugal pump in the mixing tank will continuously operate at a variable frequency, dropping a fixed amount of liquid feed into the feeding trough according to the task.

[0037] As the feeding process nears its end, specifically when the last few feeding valves have been reached (at which point there should be no excess feed in the mixing tank), the system will automatically add clean water to the mixing tank. A centrifugal pump will then draw water to push the remaining feed in the pipeline to the last few feeding valves. After all feeding valves have completed their feeding tasks, the mixing tank should be almost empty, and the pipeline should be filled with clean water to ensure hygiene and safety.

[0038] Liquid feed feeding devices typically have multiple discharge mechanisms (i.e., feed valves) installed sequentially along the discharge pipe for feeding different livestock pens. Since the number and quality of pigs in each pen vary, the feeding amount for each pen needs to be precisely calculated to conform to the feeding curve. The weighing sensor located at the bottom of the mixing tank provides feedback on the discharge amount, thereby controlling the discharge mechanism (feed valve).

[0039] However, the vibrations from the mixer and the inertia of the liquid can cause errors. Specifically, the feeding mechanisms in each pigpen cannot precisely control the amount of feed discharged. When the weighing sensor detects a weight change and sends a command to close the discharge valve, some liquid feed continues to flow out, causing feeding errors. When there are many discharge valves, these errors accumulate, making the originally precisely calculated feed amount insufficient to feed all the pigs. For example, in large pig farms with fixed feeding procedures, if a feed pipe has 10 discharge mechanisms (discharge valves), the first valve to open will discharge more feed due to errors, while the last valve to open will discharge less. Over time, some pigs will overeat while others will underfeed, which does not conform to the feeding curve.

[0040] During the feeding process, all values ​​such as "quantity" and "total amount" are input solely from a weighing sensor. However, the vibrations from the mixer and the inertia of the liquid can cause errors, affecting the feeding outcome.

[0041] In feeding operations, the aforementioned problems lead to errors in both feed preparation and distribution, preventing the achievement of perfect quantitative values. Accumulated errors can result in insufficient feeding at the last few feed valves during each feeding cycle, and these accumulated errors cannot be eliminated. Therefore, the operation of existing feeding systems negatively impacts pig growth and fails to achieve the desired timed and quantitative intelligent feeding effect. Consequently, dynamic error correction and error statistics are crucial for feeding systems. This application addresses these issues by proposing an intelligent liquid feed feeding method and system. The method incorporates an error statistics algorithm to track feeding errors in each trough during each feeding cycle and a dynamic correction algorithm to dynamically correct errors in the troughs, reducing feeding errors and ensuring that the feeding amount conforms to a scientific feeding curve. The specific implementation process of this application is illustrated in the following embodiments.

[0042] Example 1

[0043] Reference Figure 1 As shown, Figure 1 This is an intelligent liquid feed feeding method applied to the aforementioned liquid feed feeding device, which includes a stirring mechanism, a weighing sensor, a discharging mechanism, and at least two feeding troughs. The feeding method includes:

[0044] S1: Obtain feeding task information. The feeding task information includes the target total feed amount, the number of feed troughs, and the first target feed amount for each feed trough.

[0045] Specifically, when feeding pigs with liquid feed, the feeding task information is pre-planned and set, that is, the number of feeding troughs to be fed to the pigs is predetermined (by default, the feeding troughs are adjacent), the target total amount of liquid feed to be prepared, and the first target feeding amount for each pig is predetermined. Among them, the number of feeding troughs is at least two or more.

[0046] S2: Use the feeding mechanism to feed the first feed trough according to the first target feeding amount. After feeding is completed, obtain the actual feeding amount of the first feed trough and determine the feeding error of the first feed trough.

[0047] Specifically, by obtaining the actual feeding amount in the trough and calculating the current feeding error, subsequent feeding tasks can compensate with liquid feed based on the feeding error to meet the daily feeding quota for each pig.

[0048] S3: Obtain the remaining total amount of the target total amount of feed in the mixing mechanism through the weighing sensor, and determine the target corrective feeding amount of the second feed trough based on the remaining total amount of feed and the number of remaining feed troughs.

[0049] Specifically, the first target feeding amount for the next feeding trough (i.e., the second feeding trough) is corrected by using the total amount of remaining feed and the number of remaining feeding troughs. This results in a target corrected feeding amount for the remaining feeding troughs (excluding the first feeding trough), which is then used as the target feeding amount for the second feeding trough for feed control. Compared to the traditional method of using the same target feeding amount for each feeding trough, this invention effectively reduces feed error (i.e., feeding error) in subsequent feeding troughs by correcting the target feeding amount.

[0050] S4: Use the feeding mechanism to feed the second feeder according to the target corrective feeding amount. After feeding is completed, obtain the actual feeding amount of the second feeder and determine the feeding error of the second feeder.

[0051] Specifically, after feeding is completed in the current feeding trough (i.e., the first feeding trough), feeding is performed in the second feeding trough based on the target corrective feeding amount calculated in the previous step. After feeding is completed, the actual feeding amount in the second feeding trough is obtained, and the feeding error amount for the next feeding trough is determined by combining it with the target corrective feeding amount of the second feeding trough. This process continues. When the liquid feed feeding device has more than two feeding troughs, the remaining total amount of feed in the stirring mechanism and the number of remaining feeding troughs are obtained through a weighing sensor. The target corrective feeding amount for the third feeding trough is then corrected to obtain a new target corrective feeding amount for the remaining feeding troughs (i.e., excluding the first and second feeding troughs). This new target corrective feeding amount is used as the target feeding amount for the third feeding trough for feeding control. Therefore, each time the target feeding amount of a feeding trough is corrected, it is adjusted based on the remaining total amount of feed and the number of remaining feeding troughs, which can minimize the feeding error in each feeding trough.

[0052] Furthermore, in one embodiment, the method further includes:

[0053] Obtain the second target feeding amount for each trough in the next feeding task, and compensate and correct the target total feed amount and the corresponding second target feeding amount for each trough in the next feeding task based on the feeding error amount calculated for each trough in the current feeding task.

[0054] In practical application, the error statistics algorithm of this invention is an algorithm that adjusts the target feeding task based on errors according to a pre-set task. The error statistics algorithm is always active during the feeding task, but does not participate in control. It only takes effect before the start of each feeding task (i.e., during the feed preparation stage, it participates in control to adjust the target feed preparation amount and target feeding amount). Below, this invention will explain the error statistics algorithm in conjunction with a corresponding feeding scenario.

[0055] Background and conditions: Feeding was carried out in troughs 1-20 on ring line 1, with 30kg of feed per trough. The total amount of feed prepared this time was 600kg.

[0056] Feed is dispensed according to the feeding schedule. The specific feeding process is as follows:

[0057] Step 1: After preparing the ingredients, start the thorough mixing process (fermentation) according to the user settings.

[0058] Step 2: First, open the feed valve corresponding to trough 1. The main valve of the mixing cylinder will start working. Due to the vibration caused by the centrifugal pump or the error in the sensor calibration, the actual feed in trough 1 may be 29kg. In this case, record the feeding error as -1kg.

[0059] Then, open the feed valve corresponding to feed trough 2, and the main valve of the mixing cylinder will operate. Due to the aforementioned reasons, the actual feed volume in feed trough 2 may be 32kg. In this case, the system will automatically record the feeding error as 2kg. Other feed valves will feed accurately. After feeding in sequence, record the actual feed volume and error of all feed troughs used in this task for customer review. Since each task targets a group of pigs, and pigs cannot be fed only once a day, the recorded error will be compensated for in the next feeding.

[0060] Second feeding task:

[0061] Background and conditions: Feeding is being carried out in troughs 1-20 on loop 1, with 30 kg of feed per trough. The expected total feed preparation amount is 600 kg. However, according to the error statistics algorithm of this invention, with 30 kg per trough, the actual target feed preparation amount is 601 kg. Because the error in trough 1 was -1 kg and the error in trough 2 was 2 kg during the last feeding, an additional 1 kg of liquid feed needs to be prepared.

[0062] When feeding begins: the target feeding amount compensation for trough 1 is adjusted to 31kg, and the target feeding amount compensation for trough 2 is adjusted to 28kg.

[0063] Furthermore, in one embodiment, after the feeding is completed, obtaining the actual feeding amount in the first feeding trough and determining the feeding error amount in the first feeding trough specifically includes:

[0064] The actual feeding amount after the first feeding trough is fed is obtained through the feeding mechanism, and the actual feeding amount is compared with the first target feeding amount. The difference between the actual feeding amount and the first target feeding amount is calculated, and the feeding error amount of the first feeding trough is determined based on the difference.

[0065] Specifically, based on the total remaining feed and the number of remaining feed troughs, the target corrective feeding amount for the second feed trough is determined, including:

[0066] Divide the remaining total amount of feed by the number of remaining feed troughs to obtain the average amount of liquid feed for each remaining feed trough. Use the average amount of liquid feed as the target corrective feeding amount for the second feed trough.

[0067] Specifically, obtaining the actual feeding amount in the second feeding trough and determining the feeding error in the second feeding trough includes:

[0068] The actual feeding amount after the second feeding trough is fed is obtained through the feeding mechanism, and the actual feeding amount of the second feeding trough is compared with the first target feeding amount. The difference between the actual feeding amount of the second feeding trough and the target corrective feeding amount is calculated, and the feeding error amount of the second feeding trough is determined based on the difference.

[0069] In this invention, when feeding each trough according to the feeding sequence of the discharging mechanism, after feeding the first trough according to the first target feeding amount, the total amount of remaining material in the stirring mechanism is obtained by the weighing sensor. Based on the total amount of remaining material and the number of remaining troughs, the target corrective feeding amount for the second trough is determined. Then, the second trough is fed according to the target corrective feeding amount by the discharging mechanism. By dynamically correcting the target feeding amount of the next trough according to the current feeding error, the feeding error of each trough can be reduced, ensuring that each trough can reach or closely approach the predetermined target feeding amount of liquid material.

[0070] In practical application, the dynamic correction algorithm of this invention is an algorithm that remains active throughout the feeding process (i.e., during the feeding distribution stage after feed preparation). It dynamically adjusts the target feeding amount for each trough based on the statistical analysis of the errors that have occurred. It works best when combined with an error statistics algorithm, which can infinitely reduce the feeding error of each trough, bringing it infinitely close to the target value. The dynamic correction algorithm will be explained below with reference to relevant scenarios.

[0071] Background and conditions: This task involves feeding troughs 1-5 on loop 1, with a target of 30kg per trough, and a total target of 150kg of feed prepared.

[0072] After material preparation is complete, material distribution (i.e., unloading) begins. The specific material distribution process is as follows:

[0073] The target feed for trough No. 1 was 30kg, and the actual feed was 35kg, with an actual feeding error of 5kg.

[0074] The target feed for trough No. 2 was 30 kg, but the actual feed was 35 kg, resulting in a feeding error of 5 kg.

[0075] If 35kg is actually fed in troughs 3 and 4, there will be not enough liquid feed in trough 5. That is, even if there is no feeding error in trough 5, the target feeding amount of 30kg cannot be achieved, causing the pigs to go hungry.

[0076] In actual feeding tasks, there are far more feeding troughs than 5, such as 20. If all feeding troughs have actual feeding errors of 5 kg, then when the feed is distributed to trough number 17, there will be no liquid feed left to feed the pigs. This will cause more pigs in the subsequent feeding troughs to go hungry, and in each feeding task, the last few feeding troughs will bear the consequences of the feeding error.

[0077] When the dynamic correction algorithm of this invention is enabled, the feeding status of each feed trough is as follows:

[0078] The target feed for trough No. 1 was 30kg, and the actual feed was 35kg, with an actual feeding error of 5kg.

[0079] Before the correction, the target feed for trough No. 2 was 30 kg; after the correction, the target feed was 28.75 kg; the actual feed was 30 kg, and the actual feed error was 1.25 kg.

[0080] Before the correction, the target feed for trough No. 3 was 30 kg; after the correction, the target feed was 28.3 kg; the actual feed was 27 kg; and the actual feed error was -1.3 kg.

[0081] Before the correction, the target feed for trough No. 4 was 30 kg; after the correction, the target feed was 29 kg; the actual feed was 30 kg; the actual feed error was 1 kg.

[0082] Before the correction, the target feed for trough No. 5 was 30 kg. After the correction, the target feed was 28.95 kg. The actual feed was 28 kg, and the actual feed error was 0.95 kg.

[0083] Without a dynamic correction algorithm, the actual feeding error value remains equal, and the specific feeding situation for each trough is as follows:

[0084] The target feed for trough No. 1 was 30kg, and the actual feed was 35kg, with an actual feeding error of 5kg.

[0085] Before the correction, the target feed for trough No. 2 was 30 kg, and the actual feed was 31.25 kg, with an actual feeding error of 1.25 kg.

[0086] Before the correction, the target feed for trough No. 3 was 30 kg, and the actual feed was 28.7 kg, with an actual feeding error of -1.3 kg.

[0087] Before the correction, the target feed for trough No. 4 was 30kg, but the actual feed was 29kg, with an actual feeding error of 1kg.

[0088] Before the correction, the target feed for trough No. 5 was 30 kg, but at this time there was only 26.05 kg of liquid feed left in the mixing tank, and the maximum feed was 26.05 kg.

[0089] After adopting the dynamic correction algorithm of the present invention, it can be seen that the last feeding trough can obviously feed about 2.9 kg more feed, which is a significant improvement.

[0090] In actual feeding, there are more feeding troughs to feed, and the deviation value of each feeding trough may change dynamically. Therefore, the feeding method using dynamic correction algorithm is significantly better than the feeding method without dynamic correction algorithm.

[0091] Furthermore, in one embodiment, a liquid feed redundancy is set in the feeding task. This liquid feed redundancy is less than the target total feed amount and is used to feed non-adjacent feeding troughs. As can be seen from the architecture of the aforementioned liquid feed feeding device, the feeding troughs are connected by discharge pipes. When some feeding troughs do not need feeding, the liquid feed in the corresponding discharge pipe of that trough does not need to be discharged. To ensure that subsequent feeding troughs can feed normally, the target total feed amount needs to take into account the feeding troughs that do not need feeding. Therefore, this invention proposes a liquid feed redundancy. Setting the liquid feed redundancy is to accommodate and adapt to different feeding tasks, ensuring that the feeding troughs to be fed in each feeding task can be non-adjacent (existing systems require that feeding troughs in a single task must be adjacent). The liquid feed redundancy will be explained below in conjunction with relevant scenarios.

[0092] Background: Liquid feed redundancy is set at 80kg. This task requires feeding troughs 1-4 and trough 30 on loop 1 (troughs 5-29 are not fed). Trough 30 requires a filling volume of 80kg. The target feeding amount per trough is 10kg, the target total feeding amount is 50kg, and the target reserve is 80kg, of which 30kg is the actual liquid feed redundancy. The feeding task can proceed if the liquid feed redundancy is less than the set 80kg.

[0093] If a typical system does not have a liquid material redundancy setting, two scenarios may occur:

[0094] 1. Ignoring the excess amount of liquid feed allows for feeding, but because there are no restrictions, users are unaware that certain unreasonable settings can lead to excessive feed waste.

[0095] 2. The task cannot receive excess liquid feed and cannot be fed. The user is unaware of the reason why the task cannot be executed, or the user has been informed that it results in waste. The pigs must be manually moved to an adjacent feeding trough to complete the task.

[0096] Example 2

[0097] Reference Figure 2 As shown, this application also provides an intelligent liquid feed feeding system, including:

[0098] Liquid feed feeding device, liquid feed feeding controller, host computer terminal, and cloud server. Among them,

[0099] The liquid feed feeding device is used to feed the liquid feed according to the control instructions issued by the liquid feed controller, and to obtain the actual feeding amount of each feed trough and monitor the remaining amount of liquid feed.

[0100] The liquid feed controller is used to execute each step of the intelligent liquid feed feeding method in Embodiment 1 above.

[0101] The host computer terminal is used to set feeding task information, obtain the actual feeding amount of each trough and monitor the remaining amount of the target total feed, and upload the feeding task information, the actual feeding amount of each trough and the remaining amount of the target total feed to the cloud server.

[0102] The cloud server is used to store feeding task information, the actual feeding amount for each trough, and the remaining amount of the target total feed.

[0103] Furthermore, in one embodiment, the host computer terminal specifically includes a liquid feed control host and a manual control panel; the liquid feed controller is connected to both the liquid feed control host and the manual control panel; the liquid feed control host is connected to the cloud server. Both the liquid feed control host and the manual control panel can control the liquid feed controller, and control can be switched between the liquid feed control host and the manual control panel during feeding.

[0104] Specifically, the host computer terminal and the liquid feed controller communicate via RS485. Alternatively, RS485 communication can be replaced with a reliable industrial-grade full-duplex communication method, such as CAN, or wireless communication methods such as Bluetooth or Wi-Fi, depending on the specific circumstances.

[0105] Specifically, liquid feed feeding devices can be installed separately in the pig feeding kitchen and the pig feeding shed, meaning the equipment in the liquid feed feeding system is divided into feeding kitchen equipment and feeding shed equipment. The feeding kitchen equipment is responsible for mixing and preparing the feed and collecting the total amount of remaining feed, corresponding to devices such as mixing mechanisms and weighing sensors. The feeding shed equipment is used to dispense feed according to instructions and to provide feedback on the actual feeding amount in each trough, corresponding to devices such as dispensing mechanisms and troughs.

[0106] It is understood that the same or similar parts in the above embodiments can be referred to each other, and the contents not described in detail in some embodiments can be referred to the same or similar contents in other embodiments.

[0107] In the description of this specification, references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. An intelligent liquid feed feeding method, applied to a liquid feed feeding device, the liquid feed feeding device comprising a stirring mechanism, a weighing sensor, a discharging mechanism, and at least two feeding troughs, characterized in that, The feeding method includes: Obtain feeding task information; the feeding task information includes the target total amount of feed to be prepared, the number of feeding troughs, and the first target feeding amount for each feeding trough; The feeding mechanism is used to feed the first feed trough according to the first target feeding amount. After feeding is completed, the actual feeding amount of the first feed trough is obtained and the feeding error of the first feed trough is determined. The remaining total amount of feed prepared in the stirring mechanism is obtained by weighing sensor, and the target corrective feeding amount of the second feeder is determined based on the remaining total amount of feed prepared and the number of remaining feeders. The feeding mechanism is used to feed the second feed trough according to the target corrective feeding amount. After feeding is completed, the actual feeding amount of the second feed trough is obtained and the feeding error of the second feed trough is determined. The determination of the target corrective feeding amount for the second feed trough based on the total remaining feed amount and the number of remaining feed troughs specifically includes: Divide the remaining total amount of feed by the remaining number of feed troughs to obtain the average amount of liquid feed for each remaining feed trough. Use the average amount of liquid feed as the target corrective feeding amount for the second feed trough. The process of obtaining the actual feeding amount in the second feeding trough and determining the feeding error in the second feeding trough specifically includes: The actual feeding amount after the second feeding trough is fed is obtained through the feeding mechanism, and the actual feeding amount of the second feeding trough is compared with the first target feeding amount. The difference between the actual feeding amount of the second feeding trough and the target corrective feeding amount is calculated, and the feeding error amount of the second feeding trough is determined based on the difference.

2. The intelligent liquid feed feeding method according to claim 1, characterized in that, The method further includes: Obtain the second target feeding amount for each trough in the next feeding task, and compensate and correct the target total feed amount and the corresponding second target feeding amount for each trough in the next feeding task based on the feeding error amount calculated for each trough in the current feeding task.

3. The intelligent liquid feed feeding method according to claim 1, characterized in that, After the feeding is completed, the actual feeding amount in the first feeding trough is obtained and the feeding error of the first feeding trough is determined, specifically including: The actual feeding amount after the first feeding trough is fed is obtained through the feeding mechanism, and the actual feeding amount is compared with the first target feeding amount. The difference between the actual feeding amount and the first target feeding amount is calculated, and the feeding error amount of the first feeding trough is determined based on the difference.

4. The intelligent liquid feed feeding method according to claim 1, characterized in that, The feeding task also includes a liquid feed redundancy amount, which is less than the target total feed amount, and is used to feed non-adjacent feeding troughs.

5. An intelligent liquid feed feeding system, characterized in that, include: Liquid feeder, liquid feeder controller, host computer terminal and cloud server; The liquid feed feeding device is used to feed the liquid feed according to the control instructions issued by the liquid feed controller, and to obtain the actual feeding amount of each feed trough and monitor the remaining amount of liquid feed. The liquid feed controller is used to perform each step in the intelligent liquid feed feeding method as described in any one of claims 1 to 4; The host computer terminal is used to set feeding task information, obtain the actual feeding amount of each trough and the remaining amount of the target total feed, and upload the feeding task information, the actual feeding amount of each trough and the remaining amount of the target total feed to the cloud server. The cloud server is used to store feeding task information, the actual feeding amount for each trough, and the remaining amount of the target total feed.

6. The intelligent liquid feed feeding system according to claim 5, characterized in that, The host computer terminal specifically includes a liquid feed control host and a manual control operation panel; the liquid feed feeding controller is connected to both the liquid feed control host and the manual control operation panel; the liquid feed control host is connected to the cloud server.

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