A honey filling system with precise temperature control function and control method

Abstract

The present application discloses a honey filling system with a precise temperature control function and a control method, which relates to the technical field of bee product production and packaging. The honey filling system with a precise temperature control function includes a honey storage tank for centrally storing honey and a plurality of filling pipelines communicated with the honey storage tank. It also includes a data acquisition unit for real-time acquiring various relevant data information of honey at various positions on the production line and outputting the data, a data storage unit loaded and storing relevant algorithm models, a data processing unit for determining the honey crystallization probability, and an execution unit for adjusting according to the determination result of the honey crystallization probability. It can precisely control the honey temperature at various positions on the honey canning production line. Based on the above-mentioned honey filling system with a precise temperature control function, the honey filling control method can effectively reduce the probability of honey crystallization, ensure the quality of the filled honey and the normal production and processing on the production line.

Description

Technical Field

[0001] The present application relates to the technical field of bee product production and packaging, and more specifically, to a honey filling system with precise temperature control function and a control method thereof. Background Technique

[0002] Honey is a supersaturated solution of sugar, and taking it has the effect of nourishing the liver and stomach. Honey will crystallize in a low-temperature environment and when the temperature drops too quickly. The principle is that the solubility of glucose in honey is different at different temperatures. In an environment of low temperature or sudden temperature drop, the glucose in honey will precipitate white granular crystals due to the decrease in solubility.

[0003] On the traditional honey filling production line, generally, the tank storing honey is heated and then the temperature is reduced to reduce the phenomenon of honey crystallization. However, natural honey containing active enzymes cannot be heated above 60 degrees Celsius, otherwise the active enzymes will denature and inactivate at high temperatures, destroying the nutrients therein, and at the same time causing the taste after brewing to become sour, affecting the taste of honey. Therefore, the honey heated in the tank storing honey will re-cool after being transported through a long filling pipeline, and crystals will precipitate in the pipeline. The glucose crystals adhere to the inner wall of the pipeline, resulting in uneven texture of the honey flowing out of the filling port, reducing the quality of honey. If the influence of honey crystallization cannot be eliminated in time, the glucose crystals will also block the filling port, affecting the normal production of the entire production line. Summary of the Invention

[0004] Aiming at the problem that honey on the existing honey filling production line is prone to crystallization in actual operation, which will affect the quality of the filled honey and the normal production and processing on the production line, the first object of the present application is to propose a honey filling system with precise temperature control function, which can monitor the temperature and related states on the honey filling production line in real time, and feedback to adjust the temperature, so as to accurately control the honey temperature at each position on the honey canning production line, effectively reduce the probability of honey crystallization, and ensure the quality of the filled honey and the normal production and processing on the production line; based on the above honey filling system with precise temperature control function, the second object of the present application is to protect a honey filling control method.

[0005] The specific solutions are as follows:

[0006] A honey filling system with precise temperature control function includes a honey storage tank for centrally storing honey and a plurality of filling pipelines communicated with the honey storage tank, and further includes:

[0007] A data acquisition unit, including a honey crystallization data integration component for integrating honey-related state data and a plurality of monitoring terminals data-connected thereto and arranged along the honey filling production line, which can obtain the honey temperature data and honey crystallization state data at each place on the production line in real time and output them;

[0008] A data storage unit that loads and stores an algorithm model useful for representing the association relationship between the honey crystallization probability, its matching honey crystallization state data, and honey temperature data;

[0009] A data processing unit, which is data-connected to the data acquisition unit and the data storage unit, receives and based on the honey crystallization state data and the honey temperature data, determines the honey crystallization probability according to the algorithm model, and outputs the crystallization probability data of the current honey;

[0010] An execution unit, including a controller data-connected to the data processing unit and the data storage unit, an overall temperature adjustment component for adjusting the overall honey temperature on the production line, and a local temperature adjustment component for adjusting the local honey temperature of the filling pipeline;

[0011] Wherein, the controller receives the crystallization probability data and based on the algorithm model, outputs a control signal to adjust the actions of the overall temperature adjustment component and / or the local temperature adjustment component.

[0012] By adopting the above technical solution, the data acquisition unit integrally and real-time acquires relevant data such as honey temperature and crystallization state, and outputs them to the data processing unit. The data processing unit calls the algorithm model stored in the data storage unit and outputs the current honey crystallization probability data. The controller outputs a control signal to the overall temperature adjustment component and / or the local temperature adjustment component based on the honey crystallization probability data, realizing the feedback adjustment of the temperature at various places on the honey filling production line according to the real-time honey state, effectively and timely controlling the honey temperature, thereby effectively reducing the probability of honey crystallization, ensuring the quality of the filled honey and the normal production and processing on the production line; at the same time, the overall temperature adjustment component and the local temperature adjustment component can work independently or in combination, having stronger pertinence for the temperature adjustment of honey, keeping the temperature on the honey production line in a relatively stable range. The honey in the above temperature range does not crystallize and has better fluidity, making the honey filling smoother and more efficient, and not being affected by the external environment such as the production workshop, and having strong environmental adaptability.

[0013] Preferably, the monitoring terminal includes a contact temperature sensor arranged at the honey filling port and an infrared temperature sensor arranged on the honey filling production line;

[0014] The honey crystallization data integration component includes a honey crystallization data integration component for receiving data and converting and outputting it, which is signal-connected to the contact temperature sensor and the infrared temperature sensor, receives the temperature signals at the honey filling port and the overall honey filling pipeline, and outputs them after converting them into a set data format.

[0015] By adopting the above technical solution, the contact temperature sensor arranged at the honey filling port can accurately collect the temperature data of the honey flowing out of the honey filling pipeline, and the infrared temperature sensor arranged on the honey filling production line can remotely measure the overall temperature of various parts of the honey filling pipeline. The honey crystallization data integration component assigns different weights to the temperature data at various parts of the filling production line and integrates them into honey temperature data reflecting the entire filling production temperature.

[0016] Preferably, the honey crystallization state data includes honey transparency data;

[0017] The monitoring terminal further includes a transparency detector arranged on the honey filling pipeline and / or the honey storage tank. The transparency detector is signal-connected to the honey crystallization data integration component to detect and output the honey transparency data.

[0018] Since the crystals precipitated during honey crystallization will directly affect the transparency of honey, by adopting the above technical solution, using the transparency of honey as the judgment basis for reflecting the honey crystallization situation and crystallization trend can intuitively and timely adjust the working states of the various temperature adjustment devices in the execution component to control the probability of honey crystallization.

[0019] Preferably, the honey crystallization state data includes honey flow velocity data;

[0020] The data acquisition unit further includes a honey flow velocity acquisition component configured to be data-connected to the honey filling management system for real-time acquisition and output of the honey flow velocity data;

[0021] The honey crystallization data integration component integrates the honey flow velocity data and the honey transparency data and outputs the honey crystallization state data.

[0022] Since when honey is about to and has just started to precipitate crystals, the crystal molecules are small and the change in transparency cannot be directly observed, but due to the obstruction of the crystal particles, the flow velocity of honey will decrease. By adopting the above technical solution, using the honey flow velocity data as the judgment basis for reflecting whether honey has a tendency to crystallize and the judgment basis for the initial stage of crystallization is convenient for measurement and operation, and effectively adjusts the honey state in the stage before and at the very beginning of honey crystallization, so that the honey flowing out of the perfusion port is uniform and non-crystallized high-quality honey; at the same time, in cooperation with the honey filling management system, considering various factors such as filling efficiency and filling quality, the excellent quality of the products on this production line is ensured.

[0023] Preferably, a first crystallization probability curve representing the correlation between the honey temperature data and the honey crystallization state data is stored in the data storage unit;

[0024] The data processing unit receives the honey temperature data and determines the probability of honey crystallization according to the first crystallization probability curve, and outputs probability determination data.

[0025] By adopting the above technical solution, the first crystallization probability curve characterizes the temperature of honey and the crystallization probability at that temperature. In fact, there are multiple such probability curves, and different types of honey correspond to different first crystallization probability curves. The data processing unit corresponds the current overall temperature of honey and the local temperatures at each site on the production line to the honey crystallization probability, and outputs the overall crystallization probability of honey and the crystallization probabilities at each site where monitoring terminals are set on the production line, which facilitates making subsequent adjustments targeted.

[0026] Preferably, the data processing unit is further configured with:

[0027] A curve fitting module, which is data-connected to the honey crystallization data integration component, obtains the honey temperature data and the honey crystallization state data, and generates a second crystallization probability curve reflecting the correlation between the honey temperature data and the honey crystallization state data according to a set fitting algorithm;

[0028] An automatic update module, configured to be data-connected to the curve fitting module and the data storage unit, receive the second crystallization probability curve and store it in the data storage unit to update and overwrite the first crystallization probability curve.

[0029] By adopting the above technical solution, the curve fitting module fits the honey temperature and honey transparency collected in real time by the monitoring terminal to generate a real-time second crystallization probability curve that is more in line with the current environment. The automatic update module can continuously update and adjust the first crystallization probability curve in the database, and expand the first crystallization probability curve of new types of honey.

[0030] Preferably, the overall temperature adjustment component includes:

[0031] A first heating element, which is arranged on the honey storage tank and is used to heat the honey stored centrally in the honey storage tank, receives and responds to the control signal output by the controller, and adjusts the overall temperature of the honey in the honey storage tank.

[0032] By adopting the above technical solution, the first heating element is arranged on the outer wall of the honey storage tank, which is convenient for adjusting the temperature of the honey stored centrally in the honey storage tank and plays a role in overall adjustment of the honey temperature.

[0033] Preferably, the local temperature adjustment component includes:

[0034] A double-layer conveying sleeve, with a heat-conducting agent arranged between the double-layer pipe walls, and a flow guide plate for guiding honey to flow in different directions is also arranged inside the inner layer pipe;

[0035] A second heating element is arranged along the double-layer conveying pipe and is used for heating the heat-conducting agent between the double-layer pipe walls, receiving and responding to the control signal of the controller, and adjusting the temperature of the filling pipeline.

[0036] Since the heat-conducting agent is arranged between the double-layer pipe walls, the honey temperature closer to the inner pipe wall is more easily heated and has a higher temperature, while the honey farther from the pipe wall is not easily heated and has a lower temperature. By adopting the above technical solution, a flow guide plate is arranged in the inner pipe to mix the honey in the inner and outer layers, making the honey temperature more uniform, and also facilitating the temperature monitoring terminal arranged outside the pipeline to detect the honey temperature at the center position of the pipeline as the honey mixes and flows, making the temperature detection more accurate and the honey temperature data output by the data acquisition module more representative.

[0037] Preferably, the execution unit further includes a flow rate control valve arranged at the honey filling port of each filling pipeline. The flow rate control valve is connected to the controller for control, and receives and responds to the control signal output by the controller to control the honey flow rate in each filling pipeline.

[0038] By adopting the above technical solution, the flow rate control valve can conveniently control the flow rate of honey at the filling port, and further control the flow rate of honey in the entire filling pipeline. It can also control the heat exchange time of honey in the pipeline provided with a heating device. By extending the heat exchange time, the temperature of honey can be increased, and the temperature of honey can be adjusted at a lower temperature, avoiding the influence of high-temperature heating on the quality of honey.

[0039] A honey filling control method, based on the honey filling system with precise temperature control function as described above, includes the following steps:

[0040] Establish and store a first correlation relationship between honey state information and honey crystallization probability information;

[0041] Establish and store a second correlation relationship between honey crystallization probability information and the action states of each execution component;

[0042] Obtain the current honey state information and combine it with the first correlation relationship to obtain the crystallization probability information;

[0043] Based on the current honey crystallization probability information, and in combination with the second correlation relationship, adjust the action states of each of the execution components.

[0044] By adopting the above technical solution, the honey state information is obtained in real time, and the crystallization probability of honey in this state is obtained according to the first correlation relationship.

[0045] Preferably, the honey state information includes honey temperature information, honey transparency information, and honey flow rate information;

[0046] The honey filling control method further includes establishing and storing a weight distribution algorithm for integrating the honey state information, and the weight distribution algorithm is generated based on the production environment and the type of honey.

[0047] By adopting the above technical solution, multiple pieces of honey state information are set, and the honey crystallization probability can be obtained in a timely manner from multiple dimensions and the entire process of crystallization, so as to facilitate the adjustment of honey, effectively avoid honey crystallization or timely raise the temperature to dissolve the crystals back into the honey; at the same time, the weight distribution algorithm assigns different weights to temperature, transparency, and flow velocity, and different weights are assigned to each state information according to different production environments and types of honey.

[0048] Preferably, the obtaining of the current honey state information and combining with the first correlation relationship to obtain the crystallization probability information includes:

[0049] Obtain the current production environment and the type of honey, and generate the current weight distribution algorithm;

[0050] Input and store the probability curves representing the correlation relationships between honey temperature and honey crystallization probability, honey transparency and honey crystallization probability, and honey flow velocity and honey crystallization probability;

[0051] Obtain multiple groups of crystallization probability data based on the probability curves;

[0052] Obtain the current crystallization probability information of the honey based on the current weight distribution algorithm.

[0053] By adopting the above technical solution, the crystallization probability of the honey in the current environment and under the current state of this type of honey can be obtained, which has stronger pertinence and facilitates the subsequent adjustment of the honey state.

[0054] Preferably, the execution components include an overall temperature adjustment component for adjusting the overall honey temperature on the production line, a local temperature adjustment component for adjusting the local honey temperature in the filling pipeline, and a flow rate control valve for adjusting the flow rate of the honey in the filling pipeline;

[0055] The combining with the second correlation relationship to adjust the action states of each of the execution components includes:

[0056] Call the second correlation relationship between the honey crystallization probability data and the action states of each execution component;

[0057] Output different control signals to each execution component to control the working state of the execution component, and the overall temperature adjustment component, the local temperature adjustment component, and the flow rate control valve work alone or in combination.

[0058] By adopting the above technical solution, each execution component cooperates to precisely adjust the state of the honey.

[0059] Compared with the prior art, the beneficial effects of the present application are as follows:

[0060] (1) By setting each unit, adjusting the temperature at various places on the honey filling production line according to the real-time feedback of the honey state, effectively and timely controlling the honey temperature, thereby effectively reducing the probability of honey crystallization, ensuring the quality of the honey after filling and the normal production and processing on the production line;

[0061] (2) By setting the overall temperature adjustment component and the local temperature adjustment component, the two can work independently or in combination, which has stronger pertinence for the temperature adjustment of honey, keeps the temperature on the honey production line within a relatively stable range. The honey in the above temperature range does not crystallize and has better fluidity, making the honey filling smoother and more efficient, and not affected by the external environment such as the production workshop, with strong environmental adaptability;

[0062] (3) By setting multiple pieces of information for judging the honey state, obtaining the honey crystallization probability in real time from multiple dimensions and the whole process of crystallization, so as to facilitate the adjustment of honey, effectively avoid honey crystallization or timely raise the temperature to dissolve the crystals back into the honey;

[0063] (4) By setting a flow guide plate inside the perfusion pipeline, mixing the honey in the inner layer and the outer layer, making the temperature and density of the honey more uniform, and also facilitating the temperature monitoring terminal arranged outside the pipeline to detect the honey temperature at the center position of the pipeline as the honey mixes and flows, making the temperature detection more accurate and the honey temperature data output by the data acquisition module more representative. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 is the overall schematic diagram of the present application;

[0065] Figure 2 is the schematic diagram of the data acquisition unit of the present application;

[0066] Figure 3 is the schematic diagram of the data processing unit of the present application;

[0067] Figure 4 is the schematic diagram of the execution unit of the present application;

[0068] Figure 5 is the schematic flow diagram of the honey filling control method of the present application.

[0069] Reference numerals: 1, data acquisition unit; 11, monitoring terminal; 2, data storage unit; 3, data processing unit; 4, execution unit; 41, controller; 42, overall temperature adjustment component; 43, local temperature adjustment component; 44, flow rate control valve. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0070] The present application will be further described in detail below in conjunction with embodiments and figures, but the implementation manners of the present application are not limited thereto.

[0071] A honey filling system with a precise temperature control function, as Figure 1 shown, includes a honey storage tank for centrally storing honey and a plurality of filling pipelines communicated with the honey storage tank. One end of the plurality of filling pipelines away from the honey storage tank is a filling port for filling honey into various packages. It further includes a data acquisition unit 1 for acquiring various relevant data information of honey at various places on the production line in real time and outputting it, a data storage unit 2 loaded with relevant algorithm models, a data processing unit 3 for determining the honey crystallization probability, and an execution unit 4 for adjusting according to the determination result of the honey crystallization probability. Among them, the data acquisition unit 1 is data-connected to the data processing unit 3, and outputs the acquired various relevant data information to the data processing unit 3. The data processing unit 3 calls the relevant algorithm models stored in the data storage unit 2, judges the honey crystallization probability under the current conditions, and outputs it to the execution unit 4. Each component in the execution unit 4 performs corresponding adjustment actions based on the preset of the relevant algorithm model.

[0072] In detail, as Figure 2 shown, the data acquisition unit 1 includes a monitoring terminal 11 for acquiring honey-related status information and a honey crystallization data integration component for integrating honey-related status information.

[0073] The honey status information includes honey temperature data. Correspondingly, the monitoring terminal 11 includes a contact temperature sensor arranged at the honey filling port and an infrared temperature sensor arranged on the honey filling production line. The contact temperature sensors are arranged at intervals along the filling pipeline and are directly arranged on the outer wall of the pipeline, which is convenient for directly measuring the temperature of the honey flowing in the pipeline. In the implementation manner of the present application, the contact temperature sensor is configured as an analog output temperature sensor, which has the advantages of small temperature measurement error, fast response speed, small volume, and low power consumption. The detection head of the infrared temperature sensor faces the honey storage tank, which is convenient for detecting the overall temperature change of the honey in the honey storage tank.

[0074] The honey status information also includes honey crystallization status data. The crystals precipitated during honey crystallization will directly affect the transparency of honey. Therefore, the honey crystallization status data includes honey transparency data. Using the transparency of honey as the basis for judging the crystallization situation and crystallization trend of honey can enable more timely and accurate subsequent adjustment. Correspondingly, the monitoring terminal 11 further includes a transparency detector disposed on the honey filling pipeline and / or the honey storage tank, specifically configured as a light transmittance detector. The light emitting end and the receiving end of the light transmittance detector disposed on the filling pipeline are respectively disposed on both sides of the filling pipeline, and the light emitting end and the receiving end of the light transmittance detector disposed on the honey storage tank are respectively disposed on both sides of the storage tank. The light transmittance detector is in signal connection with the honey crystallization data integration component, and detects and outputs the honey transparency data.

[0075] When honey is about to precipitate crystals and has just started to precipitate crystals, the crystal molecules are relatively small, and the change in transparency cannot be directly observed. However, due to the obstruction of the crystal particles, the flow rate of honey will decrease. Therefore, the honey flow rate data can be used as the basis for judging whether honey has a tendency to crystallize soon and as the basis for judging the initial stage of crystallization. Therefore, the honey crystallization status data also includes honey flow rate data. Correspondingly, the monitoring terminal 11 further includes a honey flow rate acquisition component. The honey flow rate acquisition component is in data connection with the honey filling management system, and is used to acquire the honey flow rate data in real time and output it. A liquid flow sensor is configured in the honey filling management system, and the liquid flow sensor can measure the flow rate of the flowing honey in real time.

[0076] In the embodiment of the present application, the honey crystallization data integration component includes a data pre-processor, which is in signal connection with an infrared temperature sensor, a contact temperature sensor, a light transmittance detector, and a liquid flow rate sensor, and is configured to at least include a sampling module, an analog-to-digital conversion module, and a signal data output module. The sampling module collects the analog signals representing temperature, light transmittance, and flow rate collected by each sensor at a set frequency. The analog-to-digital conversion module converts the analog signals into digital signals with a set format. The signal data output module receives the above digital signals and outputs them to the data processing unit 3 for the data processing unit 3 to perform relevant data processing.

[0077] In order to facilitate the distinction of the honey crystallization process, in the embodiment of the present application, this process is considered to be divided into four stages: normal state, about to crystallize, starting to crystallize, and a large amount of crystallization, which also facilitates the execution component to perform corresponding adjustment operations for each stage.

[0078] The data storage unit 2 stores and stores an algorithm model representing the correlation relationship between the honey crystallization probability and its matching honey crystallization state data and honey temperature data. The algorithm model can be a mapping relationship corresponding to the honey crystallization probability and honey temperature, or a weight distribution algorithm integrating various honey-related state information. The weight distribution algorithm is related to the honey production environment and the type of honey.

[0079] The data storage unit 2 stores a first crystallization probability curve representing the correlation relationship between the honey temperature data and the honey crystallization state data. In fact, there are multiple such first crystallization probability curves. The first crystallization probability curves of different types of honey will actually deviate. The first crystallization probability curve of the corresponding type of honey can be retrieved according to the currently input or detected honey type. The data processing unit 3 receives the honey temperature data and determines the probability of honey crystallization according to the first crystallization probability curve, and outputs probability determination data.

[0080] The data storage unit 2 is configured as a memory, which can be an internal storage unit of the monitoring terminal 11, such as the hard disk or memory of the monitoring terminal 11, or an external storage device of the monitoring terminal 11, such as a plug-in hard disk, a smart media card (SMC), a secure digital card (SD), or a flash card (FC) equipped on the monitoring terminal 11, etc. Moreover, the memory can also be a combination of the internal storage unit and the external storage device of the monitoring terminal 11. The memory is used to store computer programs and other programs and data required by the monitoring terminal 11. The memory can also be used to temporarily store the data that has been output or will be output. This application does not make any restrictions on this.

[0081] Such as Figure 3As shown, the data processing unit 3 is configured as a single-chip microcomputer chip, which receives the honey temperature data, honey transparency data, and honey flow rate data obtained by the data acquisition unit 1 and preprocessed, and calls the algorithm for dividing stages stored in the storage chip. In the embodiment of the present application, this algorithm is a weight distribution algorithm, and it is related to the type of honey and the ambient temperature of honey processing. For example, rape honey, which is easy to crystallize, is most susceptible to temperature, with a fast crystallization speed and will crystallize in an environment of 14 degrees Celsius. For rape honey, the temperature in the filling pipeline is more important. Therefore, in the weight distribution algorithm corresponding to rape honey, the weight of the overall temperature collected in the honey storage tank is 20%, and the overall weight of the local temperature collected along the honey filling pipeline is 80%. Among the local temperatures collected by multiple contact temperature sensors, the weight of the honey temperature data closer to the filling nozzle in the local temperature is greater. For longan honey, which is not easy to crystallize, it is more important to ensure its constant temperature in the honey storage tank. Therefore, in the weight distribution algorithm corresponding to longan honey, the weight of the overall temperature collected in the honey storage tank is 60%, and the overall weight of the local temperature collected along the honey filling pipeline is 40%.

[0082] As Figure 3 shown, a curve fitting module is provided in the data processing unit 3, including a curve fitting algorithm stored in the single-chip microcomputer register or an external storage chip, and is data-connected to the data output end of the honey temperature data integration component 12. After receiving the obtained honey temperature data and honey crystallization probability data, the current honey temperature data and honey crystallization probability data are used to generate a second honey crystallization probability curve according to the curve fitting algorithm. In the embodiment of the present application, the curve fitting is performed using the least squares method, which is simple and easy to operate. In order to increase the fitting accuracy, methods such as curve fitting based on RBF (Radial Basis Function) and cubic spline curve fitting can also be used. Since the above methods are all prior arts, they will not be elaborated here.

[0083] An automatic update module is also provided in the data processing unit 3, which is data-connected to the curve fitting module and the data storage unit 2, receives the second honey crystallization probability curve and stores it in the data storage unit 2 to overwrite the first honey crystallization probability curve. After continuously repeating the operation, a more personalized honey crystallization probability curve for each type of honey is generated, which is beneficial to accurately judge the current crystallization probability, can control the execution component to make corresponding adjustments in advance, and is also beneficial to expanding the honey crystallization probability curve database of different types of honey.

[0084] As Figure 4As shown, the execution unit 4 includes a controller 41 that is data-connected to the data processing unit 3 and the data storage unit 2, an overall temperature adjustment component 42 for adjusting the overall honey temperature on the production line, and a local temperature adjustment component 43 for adjusting the local honey temperature in the filling pipeline. The controller 41 receives the crystallization probability data and outputs a control signal based on the algorithm model to adjust the actions of the overall temperature adjustment component 42 and / or the local temperature adjustment component 43.

[0085] Specifically, the overall temperature adjustment component 42 includes a first heating element, which is arranged on the honey storage tank and configured as an electric heating sheet, receiving and responding to the control signal output by the controller 41 to adjust the overall temperature of the honey in the honey storage tank.

[0086] The local temperature adjustment component 43 includes a double-layer conveying sleeve and a second heating element arranged along the double-layer conveying pipe. There is a heat-conducting agent arranged between the double-layer pipe walls. In the embodiment of the present application, it is configured as hot water for heat exchange. Since the hot water for heat exchange is arranged between the double-layer pipe walls, the honey closer to the inner pipe wall is more easily heated and has a higher temperature, while the honey far from the pipe wall is not easily heated and has a lower temperature. Therefore, a flow guide plate is arranged in the inner layer pipe to guide the honey to flow in different directions, mixing the honey in the inner and outer layers, making the temperature of the honey more uniform, and also facilitating the temperature monitoring terminal 11 arranged outside the pipeline to detect the temperature of the honey at the center position of the pipeline as the honey mixes and flows, making the temperature detection more accurate and the honey temperature data output by the data acquisition module more representative. The flow guide plates are arranged at intervals along the length direction of the perfusion pipeline to uniformly mix the honey along the entire perfusion pipeline. The second heating element is used to heat the hot water for heat exchange between the double-layer pipe walls, receiving and responding to the control signal of the controller 41 to adjust the temperature of the honey in the filling pipeline.

[0087] In order to prevent the temperature sensor arranged on the pipe wall from being unable to measure the temperature of the internal honey or measuring inaccurately due to the influence of the double-layer conveying pipe, the contact temperature sensor on the perfusion pipeline is arranged at intervals from the double-sided pipeline. The flow guide plate is arranged in the section where the contact temperature sensor is located, so that the honey is evenly mixed after heat exchange and enters the next section of the double-layer conveying pipe for heat exchange again.

[0088] The execution unit 4 further includes a flow rate control valve 44 provided at the honey filling port of each filling pipeline. The flow rate control valve 44 is connected to the controller 41 for control, receives and corresponds to the control signal output by the controller 41 to control the honey flow rate in each filling pipeline. The flow rate control valve 44 can conveniently control the flow rate of honey at the filling port, and thus can control the honey flow rate in the entire filling pipeline. It can also control the heat exchange time of honey in the filling pipeline provided with a double-layer delivery pipe. By extending the heat exchange time, the temperature of honey can be increased, and the temperature adjustment of honey can be achieved at a lower temperature, avoiding the influence of high-temperature heating on the quality of honey.

[0089] A honey filling control method, as Figure 5 shown, based on the honey filling system with accurate temperature control function as described above, includes the following steps:

[0090] S100. Establish and store the first association relationship between honey state information and honey crystallization probability information. Among them, the honey state information includes honey temperature information, honey transparency information, and honey flow rate information.

[0091] S200. Establish and store the second association relationship between honey crystallization probability information and the action states of each execution component; S300. Establish and store a weight distribution algorithm for integrating the honey state information, and the weight distribution algorithm is generated based on the production environment and honey type.

[0092] S400. Obtain the current honey state information and combine it with the first association relationship to obtain the crystallization probability information.

[0093] Step 400 further includes the following specific steps:

[0094] S401. Obtain the current production environment and honey type, and generate the current weight distribution algorithm. Among them, the current production environment and honey type can be input by the operator or obtained through the detection equipment set on the production line.

[0095] S402. Input and store the probability curves representing the association relationships between honey temperature and honey crystallization probability, honey transparency and honey crystallization probability, and honey flow rate and honey crystallization probability.

[0096] S403. Obtain multiple groups of crystallization probability data based on the probability curves.

[0097] S404. Obtain the current crystallization probability information of honey based on the current weight distribution algorithm.

[0098] The S500 adjusts the action states of each of the execution components based on the current crystallization probability information of the honey and in combination with the second association relationship. The second association relationship between the honey crystallization probability data and the action states of each execution component is called, and different control signals are output to each execution component to control the working state of the execution component. Specifically, the overall temperature adjustment component 42, the local temperature adjustment component 43, and the flow rate control valve 44 work alone or in combination.

[0099] The following gives an example of the second association relationship:

[0100]

[0101] The above is only the preferred embodiment of the present application, and the protection scope of the present application is not limited to the above embodiments. All technical solutions falling within the idea of the present application belong to the protection scope of the present application. It should be pointed out that for those of ordinary skill in the art, several improvements and refinements made without departing from the principle of the present application should also be regarded as the protection scope of the present application.

Claims

1. A honey filling system with precise temperature control function, comprising a honey storage tank for centrally storing honey and a plurality of filling pipelines communicated with the honey storage tank, characterized in that, It further includes: A data acquisition unit (1), including a honey crystallization data integration component for integrating honey-related status data and a plurality of monitoring terminals (11) that are data-connected thereto and arranged along the honey canning production line, which can acquire the honey temperature data and honey crystallization status data at various locations on the production line in real time and output them; A data storage unit (2), which loads and stores an algorithm model representing the correlation between the honey crystallization probability and the matching honey crystallization status data and honey temperature data; A data processing unit (3), which is data-connected to the data acquisition unit (1) and the data storage unit (2), receives and determines the honey crystallization probability based on the honey crystallization status data and the honey temperature data according to the algorithm model, and outputs the crystallization probability data of the current honey; An execution unit (4), including a controller (41) that is data-connected to the data processing unit (3) and the data storage unit (2), an overall temperature adjustment component (42) for adjusting the overall honey temperature on the production line, and a local temperature adjustment component (43) for adjusting the local honey temperature of the filling pipeline; Among them, the controller (41) receives the crystallization probability data and based on the algorithm model, outputs a control signal to adjust the actions of the overall temperature adjustment component (42) and / or the local temperature adjustment component (43).

2. The honey filling system with precise temperature control function according to claim 1, characterized in that, The monitoring terminal (11) includes a contact temperature sensor arranged at the honey filling port and an infrared temperature sensor arranged on the honey filling production line; The honey crystallization data integration component includes a honey crystallization data integration component for receiving data and converting and outputting it, which is signal-connected to the contact temperature sensor and the infrared temperature sensor, receives the temperature signals at the honey filling port and the overall honey filling pipeline, and converts them into a set data format and then outputs.

3. The honey filling system with a precise temperature control function according to claim 2, wherein The honey crystallization status data includes honey transparency data; The monitoring terminal (11) further includes a transparency detector arranged on the honey filling pipeline and / or the honey storage tank, and the transparency detector is signal-connected to the honey crystallization data integration component, and detects and outputs the honey transparency data.

4. The honey filling system with precise temperature control function according to claim 3, characterized in that, The honey crystallization status data includes honey flow velocity data; The data acquisition unit (1) further includes a honey flow velocity acquisition component, which is configured to be data-connected to the honey filling management system and is used to acquire the honey flow velocity data in real time and output it; The honey crystallization data integration component integrates the honey flow velocity data and the honey transparency data and outputs the honey crystallization status data.

5. The honey filling system with precise temperature control function according to claim 2, characterized in that, In the data storage unit (2), a first crystallization probability curve representing the correlation between the honey temperature data and the honey crystallization status data is stored; The data processing unit (3) receives the honey temperature data and determines the probability of honey crystallization according to the first crystallization probability curve, and outputs probability determination data.

6. The honey filling system with precise temperature control function according to claim 5, characterized in that, The data processing unit (3) is further configured with: A curve fitting module is data-connected to the honey crystallization data integration component to obtain the honey temperature data and the honey crystallization state data, and generates a second crystallization probability curve reflecting the correlation between the honey temperature data and the honey crystallization state data according to a set fitting algorithm; An automatic update module is configured to be data-connected to the curve fitting module and the data storage unit (2), receive the second crystallization probability curve and store it in the data storage unit (2) to update and overwrite the first crystallization probability curve.

7. The honey filling system with precise temperature control function according to claim 1, characterized in that, The overall temperature regulation component (42) includes: A first heating element is arranged on the honey storage tank and is used to heat the honey stored centrally in the honey storage tank, receive and respond to the control signal output by the controller (41), and adjust the overall temperature of the honey in the honey storage tank.

8. The honey filling system with precise temperature control function according to claim 1, wherein The local temperature regulation component (43) includes: A double-layer conveying sleeve is provided with a heat-conducting agent between the double-layer pipe walls, and a flow guide plate for guiding the honey to flow in different directions is also arranged inside the inner layer pipe; A second heating element is arranged along the double-layer conveying pipe and is used to heat the heat-conducting agent between the double-layer pipe walls, receive and respond to the control signal of the controller (41), and adjust the temperature of the filling pipeline.

9. The honey filling system with precise temperature control function according to claim 1, wherein, The execution unit (4) further includes a flow rate control valve (44) arranged at the honey filling port of each filling pipeline. The flow rate control valve (44) is connected to the controller (41) for control, receives and responds to the control signal output by the controller (41) to control the honey flow rate in each filling pipeline.

10. A honey filling control method, characterized in that, Based on the honey filling system with precise temperature control function according to any one of claims 1-9, it includes the following steps: Establish and store a first correlation between honey state information and honey crystallization probability information; Establish and store a second correlation between honey crystallization probability information and the action states of each execution component; Obtain the current honey state information and combine it with the first correlation to obtain the crystallization probability information; Based on the current crystallization probability information of the honey and in combination with the second correlation, adjust the action states of each of the execution components.

11. The honey filling control method according to claim 10, wherein The honey state information includes honey temperature information, honey transparency information, and honey flow rate information; The honey filling control method further includes establishing and storing a weight distribution algorithm for integrating the honey state information, and the weight distribution algorithm is generated based on the production environment and honey type.

12. The honey filling control method according to claim 11, characterized in that, The obtaining the current honey state information and combining it with the first correlation to obtain the crystallization probability information includes: Obtain the current production environment and honey type, and generate the current weight distribution algorithm; Input and store the probability curves representing the correlation between honey temperature and honey crystallization probability, honey transparency and honey crystallization probability, and honey flow rate and honey crystallization probability; Obtain multiple groups of crystallization probability data based on the probability curves; Obtain the current crystallization probability information of the honey based on the current weight distribution algorithm.

13. The honey filling control method according to claim 10, characterized in that, The execution components include an overall temperature adjustment component (42) for adjusting the overall honey temperature on the production line, a local temperature adjustment component (43) for adjusting the local honey temperature in the filling pipeline, and a flow rate control valve (44) for adjusting the flow rate of honey in the filling pipeline; Adjusting the action states of the respective execution components in combination with the second association relationship includes: Invoking the second association relationship between the honey crystallization probability data and the action states of the respective execution components; Outputting different control signals to the respective execution components to control the working states of the execution components, and the overall temperature adjustment component (42), the local temperature adjustment component (43), and the flow rate control valve (44) work alone or in combination.

Images