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CN-121990242-A - Multi-mode intelligent vacuum fresh-keeping machine based on food material identification and identification method

CN121990242ACN 121990242 ACN121990242 ACN 121990242ACN-121990242-A

Abstract

The invention discloses a multi-mode intelligent vacuum fresh-keeping machine and method based on food material identification. The fresh-keeping machine comprises a vacuum cavity component, a deep vision acquisition component, a pneumatic execution component and a main control processing component. The pneumatic execution assembly comprises a variable frequency pneumatic pump module, an airflow direction switching valve module and an array type differential suction nozzle module. The array type differential suction nozzle module is provided with a plurality of independent air suction units connected with the independent electromagnetic valve module in series. The main control processing component is configured to monitor the local deformation rate of the surface of the vacuum packaging bag through the depth vision acquisition component, generate a differential control signal based on the deformation rate distribution difference, and independently adjust the on-off state of each independent electromagnetic valve module to construct a gradient negative pressure field. The master control processing assembly is further configured to identify object properties by detecting virtual aerodynamic impedance and to monitor a risk of liquid spreading in combination with an optical flow method. The invention realizes active self-adaptive vacuum fresh-keeping based on visual-airflow field coupling, and effectively improves the packaging quality of complex food materials.

Inventors

  • HUANG BINCHENG
  • XIONG LILI

Assignees

  • 广东鼎力盛科技有限公司

Dates

Publication Date
20260508
Application Date
20260128

Claims (10)

  1. 1. Multi-mode intelligent vacuum fresh-keeping machine based on food material discernment, its characterized in that includes: The vacuum cavity assembly is used for limiting a sealed operation space, and a heating sealing assembly used for packaging the vacuum packaging bag is arranged inside the vacuum cavity assembly; the sensing detection assembly comprises a depth vision acquisition assembly arranged above the vacuum cavity assembly and a high-frequency air pressure sensing assembly arranged in a main air channel pipeline, wherein the depth vision acquisition assembly is configured to acquire three-dimensional point cloud data of the vacuum packaging bag and an internal object, and the high-frequency air pressure sensing assembly is configured to detect an absolute pressure value and a pressure change instantaneous fluctuation rate in an air channel system; the pneumatic execution assembly comprises a variable-frequency pneumatic pump module, an airflow direction switching valve module and an array type differential suction nozzle module, wherein the variable-frequency pneumatic pump module, the airflow direction switching valve module and the array type differential suction nozzle module are communicated with the vacuum cavity assembly through an air channel; The array type differential suction nozzle module comprises at least three independent suction units which are linearly arranged along the transverse direction, the air path of each independent suction unit is respectively connected with an independent electromagnetic valve module in series, and the independent electromagnetic valve modules are connected with the variable-frequency pneumatic pump module after converging; the main control processing assembly is respectively in communication connection with the depth vision acquisition assembly, the variable-frequency pneumatic pump module, the airflow direction switching valve module and the independent electromagnetic valve module; The main control processing component is configured to monitor the local deformation rate of the surface of the vacuum packaging bag through the depth vision acquisition component, generate a differential control signal aiming at the array differential suction nozzle module based on the distribution difference of the local deformation rate, and independently control the on-off state of each independent electromagnetic valve module so as to adjust the suction distribution of different transverse positions at the bag mouth of the vacuum packaging bag.
  2. 2. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification, as set forth in claim 1, wherein the array type differential suction nozzle module is further mechanically coupled with a linear displacement driving unit, the main control processing assembly controls the linear displacement driving unit to drive the independent suction unit to reciprocate between a working position extending into the vacuum packaging bag mouth and a avoiding position exiting from the vacuum packaging bag mouth; The main control processing component is provided with a self-adaptive flow field control module, and the self-adaptive flow field control module divides the two-dimensional projection outline of the vacuum packaging bag into virtual control subareas corresponding to the independent air suction units one by one according to the physical layout parameters of the independent air suction units.
  3. 3. The multimode intelligent vacuum fresh-keeping machine based on food material identification according to claim 1, wherein the main control processing component operates a pneumatic impedance calculation module, is configured to control the variable-frequency pneumatic pump module to output short-time negative pressure pulses in an initial stage of an air extraction process, and calculates a virtual pneumatic impedance value according to a ratio of pressure gradient data acquired by the high-frequency air pressure sensing component to volume change of an object acquired by the depth vision acquisition component; And the pneumatic impedance calculation module judges the physical attribute type of the object in the vacuum packaging bag according to the virtual pneumatic impedance value, and sets a target vacuum degree threshold and a maximum allowable deformation rate threshold in the air extraction process according to the physical attribute type.
  4. 4. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification according to claim 2, wherein the main control processing component operates an adaptive flow field control module configured to calculate a rate deviation amount of a local deformation rate of each virtual control sub-area relative to a global average deformation rate; When the rate deviation value indicates that one virtual control subarea is a rapid deformation area, the main control processing component sends pulse width modulation signals to the corresponding independent electromagnetic valve module to intermittently close or completely close the gas circuit; When the rate deviation value indicates that a certain virtual control sub-region is a slow deformation region, the main control processing component controls the corresponding independent electromagnetic valve module to keep a full-conduction state, and the air flow is guided to flow out of the slow deformation region.
  5. 5. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification according to claim 1, wherein the main control processing assembly runs a visual reconstruction analysis module configured to calculate a depth gradient distribution variance of the vacuum packaging bag in a region of interest below the heating seal assembly as a fold complexity index; when the fold complexity index is larger than a preset flatness threshold value, the main control processing component controls the airflow direction switching valve module to switch to a positive pressure output passage, and controls the variable frequency pneumatic pump module to output short-time positive pressure airflow to the array type differential suction nozzle module, so that the surface of the vacuum packaging bag is forced to generate tension and bulge outwards to eliminate a physical folding structure.
  6. 6. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification according to claim 1, wherein the main control processing component operates a liquid diffusion monitoring module and is configured to calculate a two-dimensional velocity vector of a liquid front edge inside the vacuum packaging bag by using an optical flow algorithm, and screen out effective pixel points with longitudinal components larger than a preset longitudinal flow velocity threshold, wherein the longitudinal flow velocity threshold is larger than a maximum physical shrinkage rate of the vacuum packaging bag in a high negative pressure state; And when the residual safety time is smaller than an emergency response time threshold, the main control processing assembly sends a full-turn-off instruction to all the independent electromagnetic valve modules and synchronously drives the heating sealing assembly to execute mechanical pressing and hot melting sealing.
  7. 7. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification according to claim 3, wherein the main control processing component is configured to establish parallel monitoring channels by a process termination judging module (45), and the main control processing component judges that the air extraction process is terminated when any one of the following conditions is satisfied: the absolute pressure value of the real-time gas path detected by the high-frequency gas pressure sensing assembly is lower than or equal to the target vacuum degree threshold value; the object volume strain rate calculated by the depth vision acquisition component is greater than or equal to the maximum allowable deformation rate threshold; The duration of the main pumping phase exceeds a preset safety timeout threshold.
  8. 8. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification according to claim 1, wherein the main control processing assembly operates a seal compensation module configured to start a hysteresis balancing procedure after a mechanical press-fit mechanism of the heating seal assembly is closed; And in a preset hysteresis balance time interval, the main control processing assembly maintains the pressing force of the mechanical pressing mechanism and prohibits the heating sealing assembly from being electrified so as to reduce the physical resilience force of the vacuum packaging bag in a pressing area, and after the hysteresis balance time interval is finished, the main control processing assembly controls the heating sealing assembly to start heating.
  9. 9. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification according to claim 8, wherein the seal compensation module calculates target heat energy according to environmental temperature data and a preset material hot melting coefficient, and generates a three-section pulse width modulation driving signal to control the heating seal assembly; The three-section pulse width modulation driving signal comprises a heating impact stage with an output duty ratio of 0%, a constant-temperature fusion stage with an output maintenance duty ratio for balancing heat dissipation, and a cooling solidification stage with an output duty ratio of 0% for maintaining mechanical press fit, wherein the seal compensation module integrates output power in the constant-temperature fusion stage, and stops heating when the accumulated output heat reaches the target heat energy.
  10. 10. A method for identifying a multi-mode intelligent vacuum fresh-keeping machine based on food material identification, based on realizing the multi-mode intelligent vacuum fresh-keeping machine based on food material identification as claimed in any one of claims 1 to 9, characterized in that the method comprises the following steps: Acquiring initial three-dimensional point cloud data of the vacuum packaging bag by using a depth vision acquisition component, and constructing an initial surface topology model; Controlling the variable-frequency pneumatic pump module to output short-time negative pressure pulses, calculating a virtual pneumatic impedance value according to the ratio of pressure change to volume deformation, and determining the physical attribute type of an object in the vacuum packaging bag; in the continuous air extraction process, monitoring local deformation rates of different areas on the surface of the vacuum packaging bag in real time, and calculating deviation between the local deformation rates and the global average deformation rate; generating a differential control signal based on the deviation, independently adjusting the opening and closing states of each independent electromagnetic valve module connected to the rear end of the array differential suction nozzle module, limiting the current of the rapid deformation area, and keeping the slow deformation area fully conducted; And monitoring the wrinkle complexity and the internal liquid diffusion risk of the vacuum packaging bag in real time, and stopping air suction when a preset air pressure threshold or deformation rate threshold is met, and driving the heating sealing assembly to finish sealing.

Description

Multi-mode intelligent vacuum fresh-keeping machine based on food material identification and identification method Technical Field The invention relates to the technical field of food preservation equipment, in particular to a multi-mode intelligent vacuum preservation machine based on food material identification and an identification method. Background The vacuum packaging technology is widely applied to the food storage and processing industry, and the core principle is that the air in the packaging container is extracted to reduce the oxygen content, so that the propagation of aerobic microorganisms is inhibited, the oxidative deterioration process of the food is delayed, and meanwhile, the storage and transportation space can be saved by compressing the volume. The existing vacuum packaging equipment mainly comprises a household vacuum machine and a commercial vacuum packaging machine, and the hardware structure of the existing vacuum packaging equipment is generally composed of a vacuum cavity, a negative pressure pump set and a heating sealing assembly. In a conventional workflow, a user places a bag containing an object to be kept fresh in a vacuum chamber or sleeves the mouth of the bag over a suction nozzle, and the apparatus starts a vacuum pump to perform a suction operation. The existing control logic mostly depends on preset time parameters or single negative pressure threshold parameters, namely the equipment continuously pumps air until the sensor detects that the absolute pressure in the air path reaches the set standard, and then automatically triggers the heating sealing action to complete the packaging. However, such passive control modes based on a single air pressure parameter or time parameter have significant limitations in processing food materials with complex physical properties. Because the device can establish a uniformly distributed negative pressure field in the packaging bag in the air extraction process, and the real-time deformation state or physical texture of an internal object cannot be perceived, the closure of the air flow channel is often uncontrolled. When processing food materials with irregular shapes, the packaging bag film is easy to be attached in a low flow resistance area too early to block an air flow path, so that air bags which are not extracted remain among gaps of the food materials, and when processing food materials with softer textures, continuous and indiscriminate strong negative pressure suction is extremely easy to cause irreversible excessive compression deformation or mechanical damage of the food materials, and the degassing efficiency and the integrity of the physical form of the food materials are difficult to be combined. Disclosure of Invention The invention provides a multi-mode intelligent vacuum fresh-keeping machine based on food material identification. The multi-mode intelligent vacuum fresh-keeping machine based on food material identification mainly comprises a vacuum cavity component, a deep vision acquisition component, a pneumatic execution component, a perception detection component and a main control processing component. The vacuum cavity assembly defines a sealed operation space for vacuum treatment, and a heating sealing assembly for packaging the vacuum packaging bag is arranged inside the vacuum cavity assembly. The sensing detection assembly comprises a depth vision acquisition assembly arranged above the vacuum cavity assembly and a high-frequency air pressure sensing assembly arranged in the main air channel pipeline, wherein the depth vision acquisition assembly is configured to acquire three-dimensional point cloud data of the vacuum packaging bag and an internal object, the high-frequency air pressure sensing assembly is configured to detect absolute pressure values and pressure change instantaneous fluctuation rate in the air channel system, the depth vision acquisition assembly is arranged above the vacuum cavity assembly, and the depth vision acquisition assembly acquires three-dimensional point cloud data of the vacuum packaging bag and the internal object. The pneumatic execution assembly comprises a variable-frequency pneumatic pump module, an airflow direction switching valve module and an array type differential suction nozzle module, wherein the variable-frequency pneumatic pump module, the airflow direction switching valve module and the array type differential suction nozzle module are communicated with the vacuum cavity assembly through an air channel. The array type differential suction nozzle module comprises at least three independent suction units which are linearly arranged along the transverse direction, wherein the air path of each independent suction unit is respectively connected with an independent electromagnetic valve module in series, and the independent electromagnetic valve modules are connected with the variable-frequency pneumatic pump module after converging. The main control processing