Food safety intelligent supervision system

Abstract

The utility model provides an intelligent food safety supervision system, which relates to the technical field of food safety detection and comprises a detection table, a safety detection device and an alarm sorting device. The safety detection device is arranged on the detection table, and the alarm sorting device is arranged at the tail end of the detection table; the safety detection device comprises an MCU controller, a display, a sensing detection module and a visual detection module, the sensing detection module is used for detecting smell and metal-containing information of food, and the visual detection module is used for detecting fresh-keeping information of meat food; the alarm sorting device comprises a sound-light alarm circuit, a photoelectric sensor and a relay, the sound-light alarm circuit, the photoelectric sensor and the relay are all electrically connected with the MCU controller, the sound-light alarm circuit is used for giving an alarm for abnormal detection conditions, and the food safety detection system has the advantages of being high in automation degree and more accurate and comprehensive in food safety detection.

Description

Technical Field

[0001] The utility model relates to the technical field of food safety detection, and in particular to an intelligent food safety supervision system. Background Art

[0002] Food safety is a global issue. With the continuous improvement of people's material living standards and the pursuit of healthy living, there is a need for sufficiently diverse and high-quality food to meet the needs of people with different requirements. Therefore, food safety testing has rapidly emerged, which is of great significance to improving the level of food safety. The main testing items include additive testing, heavy metal testing, pesticide residue testing, veterinary drug residue testing and microbial testing. Among them, prepared steak and original cut steak, as daily consumable foods, need to undergo reliable and accurate safety testing to ensure people's eating health. Existing prepared steak and original cut steak safety testing is relatively simple, generally only conducting detection of harmful metal substances or separate food freshness testing based on visual technology, etc., lacking comprehensive and accurate testing of meat quality, and independent testing devices are difficult to apply to the production line.

[0003] To sum up, how to develop an intelligent food safety supervision system that can automatically, comprehensively and accurately detect prepared steaks and original cut steaks is a technical problem that needs to be solved in this field. Utility Model Content

[0004] In response to the problems and needs mentioned above, this solution proposes an intelligent food safety supervision system.

[0005] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a food safety intelligent monitoring system, comprising: a detection platform, a safety detection device and an alarm sorting device;

[0006] The detection platform is provided just below the end of the conveyor belt, the safety detection device is provided on the detection platform, and an alarm sorting device is provided at the end of the detection platform;

[0007] The safety detection device includes an MCU controller, a display, a perception detection module, and a visual detection module. The display, the perception detection module, and the visual detection module are all electrically connected to the MCU controller. The perception detection module is used to detect the odor and metal content of food, and the visual detection module is used to detect the freshness of meat food.

[0008] The alarm sorting device includes an audible and visual alarm circuit, a photoelectric sensor and a relay. The audible and visual alarm circuit, the photoelectric sensor and the relay are all electrically connected to the MCU controller. The audible and visual alarm circuit is used to alarm for abnormal detection situations.

[0009] Furthermore, the inspection platform includes support legs, an operating platform, an electric slide rail, a tray and an inspection box. The operating platform is set on the four support legs, the electric slide rail is installed on the operating platform, the bottom of the tray is installed on the upper rail of the electric slide rail, the inspection box is fixed on the operating platform, and the electric slide rail passes through the inspection box.

[0010] Furthermore, the sensing detection module includes a detection probe, which is fixedly arranged at the left end of the top of the detection box, and the detection probe includes a hydrogen sulfide sensor and a metal detection unit;

[0011] The metal detection unit includes a transmitting circuit and a receiving circuit. The transmitting circuit includes a transistor Q1, a resistor R1 and a transmitting coil. The base of the transistor Q1 is connected to the excitation signal source, the emitter of the transistor Q1 is grounded through the resistor R1, and the collector of the transistor Q1 is electrically connected to the transmitting coil. The receiving circuit includes a detection coil, an amplifier circuit and a rectifier. The output end of the detection coil is connected to the input end of the amplifier circuit, the output end of the amplifier circuit is electrically connected to the input end of the rectifier, and the output end of the rectifier is electrically connected to the signal input end of the MCU controller.

[0012] Furthermore, the visual detection module includes a camera and an image recognizer. The visual detection module is fixedly arranged at the top right end of the detection box. The camera is electrically connected to the image recognizer, and the image recognizer is electrically connected to the MCU controller.

[0013] Furthermore, the sound and light alarm circuit includes a sound reminder circuit and an LED light group, the sound reminder circuit includes a buzzer alarm and a transistor drive circuit, the input end of the transistor drive circuit is electrically connected to a signal output end of the MCU controller, and the output end of the transistor drive circuit is electrically connected to the buzzer alarm; the positive pole of the LED light group is electrically connected to another signal output end of the MCU controller through a pull-up resistor, and the negative pole of the LED light group is grounded.

[0014] Furthermore, the photoelectric sensor is arranged at the sorting position at the end of the operating table, the relay is connected to the power supply circuit of the sorting robot, and the driving end of the relay is electrically connected to the MCU controller.

[0015] It can be seen from the above technical solutions that the beneficial effects of the present invention are:

[0016] 1. The utility model adopts multiple detection methods to conduct automatic, comprehensive, reliable and accurate safety detection on the conditioned steak and the original cut steak to ensure people's eating health.

[0017] 2. This utility model uses sensory and visual inspection modules to comprehensively inspect the quality of both prepared and raw steaks. When anomalies are detected, it issues an audible and visual alarm. Furthermore, by controlling the electric slides and trays on the inspection platform, the system performs food transport inspections, enabling its application on assembly lines, integrating with intelligent production lines to automate production inspections.

[0018] In addition to the purposes, features and advantages described above, the best embodiments of the present invention will be described in more detail below with reference to the accompanying drawings so that the features and advantages of the present invention can be easily understood. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for use in the embodiments of the present invention or the description of the prior art. The drawings are only used to show some embodiments of the present invention, rather than limiting all embodiments of the present invention thereto.

[0020] Figure 1 This is a schematic diagram of the composition structure of a food safety intelligent supervision system of the present utility model.

[0021] Figure 2 It is a structural diagram of the detection platform in this utility model.

[0022] Figure 3 This is a schematic diagram of the circuit structure of the metal detection unit of the present utility model.

[0023] Reference numerals:

[0024] 1-Inspection table; 11-Support legs; 12-Operation table; 13-Electric slide rail; 14-Pallet; 15-Inspection box; 2-Perception inspection module; 3-Visual inspection module; 4-Conveyor belt. DETAILED DESCRIPTION

[0025] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail in conjunction with the embodiments and drawings. Here, the illustrative embodiments of this application and their descriptions are used to explain this application, but are not intended to limit this application.

[0026] In order to make the purpose, technical solution and advantages of the technical solution of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the specific embodiments of the present invention. The same figure marks in the drawings represent the same parts. It should be noted that the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the described embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] Prepared steak is a block of beef made from fresh or frozen beef (bone-in or boneless). After trimming, it is mixed with auxiliary ingredients and food additives (or not). It is then injected (or not), tumbled (or not), marinated, formed (or not), quickly frozen (or not), sliced, and packaged. This includes whole-cut prepared steak and reconstituted prepared steak. Prime cut steak includes chilled and frozen steaks and can be categorized as boneless prime cut; bone-in prime cut; prime cut with or without bone; and prime cut steak made from other parts of the cattle, with or without bone.

[0028] This application discloses a food safety intelligent monitoring system, which is applied to food safety detection of prepared steak and raw cut steak, such as Figures 1 to 3 As shown, the food safety intelligent supervision system includes: a detection platform 1, a safety detection device and an alarm sorting device.

[0029] The detection platform 1 is arranged just below the end of the conveyor belt 4 , the safety detection device is arranged on the detection platform 1 , and an alarm sorting device is arranged at the end of the detection platform 1 .

[0030] like Figure 2 As shown, the inspection platform 1 includes support legs 11, an operating table 12, an electric slide 13, a tray 14, and an inspection box 15. The operating table 12 is mounted on four support legs 11, the electric slide 13 is mounted on the operating table 12, the bottom of the tray 14 is mounted on the upper rail of the electric slide 13, and the inspection box 15 is fixed to the operating table 12. The electric slide 13 passes through the inspection box 15. The inspection box 15 is provided with light shields at both ends. The distance between the bottom of the light shield and the operating table 12 is greater than the thickness of the food and the tray 14. When the conveyor belt 4 on the production line transports the food package to the end of the conveyor belt 4, the food automatically falls onto the tray 14 directly below it. The MCU controller controls the electric slide 13 to transport the food to the inspection area of ​​the inspection box 15 for food safety testing. The tray 14 is a stainless steel rectangular tray 14 with a width-to-length ratio of 1:1.5, and its width is the same as the distance between the outer edges of the two guide rails.

[0031] After processing and packaging, the prepared steak or raw cut steak is transported to the tray 14 via the conveyor belt 4 on the production line. Then, it is transported to the inspection area for inspection via the electric slide 13. After the inspection is completed, it is frozen and preserved using a quick freezing process. Products that need to be frozen are placed in a -30°C environment using a quick freezing process to bring the core temperature to -18°C before freezing. Among them, the raw meat should comply with the provisions of GB2707, GB / T17238, and GB / T27643, the auxiliary materials should comply with the relevant product standards and relevant regulations, and the food additives should comply with the relevant product standards. The use should comply with the relevant provisions of GB2760.

[0032] During testing, qualified cooked or uncut steaks should have the normal color and luster of the product, be free of odor, and have clearly visible natural beef texture, naturally distributed fat and muscle, a tight structure, and be free of impurities. This embodiment uses sensor detection and visual inspection to inspect cooked or uncut steaks. The safety detection device includes an MCU controller, a display, a perception detection module 2, and a visual detection module 3. The display, perception detection module 2, and visual detection module 3 are all electrically connected to the MCU controller. The perception detection module 2 is used to detect food odor and metal content, and the visual detection module 3 is used to detect the freshness of meat products.

[0033] Specifically, the sensing detection module 2 includes a detection probe, which is fixedly arranged at the left end of the top of the detection box 15. The detection probe includes a hydrogen sulfide sensor and a metal detection unit; Figure 3 As shown, the metal detection unit includes a transmitting circuit and a receiving circuit. The transmitting circuit includes a transistor Q1, a resistor R1, and a transmitting coil L1. The base of the transistor Q1 is connected to the excitation signal source, the emitter of the transistor Q1 is grounded through the resistor R1, and the collector of the transistor Q1 is electrically connected to the transmitting coil L1. The receiving circuit includes a detection coil L2, an amplifier circuit, and a rectifier. The output end of the detection coil L2 is connected to the input end of the amplifier circuit, the output end of the amplifier circuit is electrically connected to the input end of the rectifier, and the output end of the rectifier is electrically connected to the signal input end of the MCU controller. The MCU controller controls the operation of the sound and light alarm circuit according to the output level signal. The detection coil and the transmitting coil are arranged at a certain distance so that the magnetic lines of force of the detection coil are offset and the output amplitude is minimized. When no metal signal passes, the receiving voltage of the coil is zero. When ferromagnetic metal passes, the ferromagnetic metal disturbs the change of the magnetic field, and the receiving coil generates a weak voltage signal. The back-end circuit processes it to achieve the purpose of detection.

[0034] In this embodiment, the MCU controller is an STM32F103C8T6, and the hydrogen sulfide sensor is an MQ136. The hydrogen sulfide sensor is electrically connected to the MCU controller and is used to detect whether beef has spoiled. The amplifier circuit includes an integrated circuit consisting of a TL084CPW operational amplifier, resistors R2, R3, and capacitor C1. The positive input terminal of the operational amplifier is connected to the receiving coil, the negative input terminal of the operational amplifier is grounded via resistor R2, and the negative input terminal of the operational amplifier is connected in parallel to resistor R3. The other end of resistor R3 is connected in parallel to the output terminal of the operational amplifier and capacitor C1, and then to a rectifier. To determine the coil position, the transmitting coil is first fixed, and then the receiving coil is moved left and right. The magnetic lines of force generated by the transmitting coil are adjusted so that they cancel each other in the receiving coil. In this way, when a metal object passes under the coil, eddy currents are generated, disrupting the magnetic line balance of the receiving coil, thereby generating a detection signal.

[0035] The alarm and sorting device includes an audio-visual alarm circuit, a photoelectric sensor, and a relay. These circuits, the photoelectric sensor, and the relay are all electrically connected to the MCU controller. The audio-visual alarm circuit is used to generate an alarm when abnormalities are detected in the steaks. The photoelectric sensor is located at the sorting station at the end of the operating table 12, the relay is connected to the power supply circuit of the sorting robot, and the relay's drive end is electrically connected to the MCU controller. When the photoelectric sensor detects abnormal steaks passing through the sorting station at the end of the operating table 12, the MCU controller controls the relay to drive the sorting robot, a conventional multi-degree-of-freedom robotic arm, to sort the food into the corresponding sorting basket according to a preset action.

[0036] The visual inspection module 3 includes a camera and an image recognizer. The visual inspection module 3 is fixedly mounted at the top right end of the inspection box 15. The camera is electrically connected to the image recognizer, which is in turn electrically connected to the MCU controller. The image recognizer uses an existing meat freshness identification method to identify the freshness of meat. This method is prior art and is not within the scope of protection of this application. The image recognizer is connected to the MCU controller via a serial port and outputs a detected level signal to the MCU controller, which controls the operation of the sound and light alarm circuit.

[0037] The sound and light alarm circuit includes an audio reminder circuit and an LED light assembly. The audio reminder circuit includes a buzzer alarm and a transistor drive circuit. The input end of the transistor drive circuit is electrically connected to a signal output end of the MCU controller, and the output end of the transistor drive circuit is electrically connected to the buzzer alarm. The positive electrode of the LED light assembly is electrically connected to another signal output end of the MCU controller via a pull-up resistor, and the negative electrode of the LED light assembly is grounded. The product quality grade labeling of the tested products shall comply with the provisions of QB / T5443.

[0038] When the steak is abnormally fresh, the MCU controller controls the sound and light alarm circuit to remind the staff to check for unqualified products in time, ensuring the safety of steak food.

[0039] It should be noted that the embodiments described in the present invention are merely preferred ways of implementing the present invention, and any obvious modifications to the overall concept of the present invention should fall within the scope of protection of the present invention.

Claims

1. A food safety intelligent supervision system, characterized in that: include: Testing station (1), safety testing device and alarm sorting device; The detection platform (1) is provided just below the end of the conveyor belt (4), the safety detection device is provided on the detection platform (1), and an alarm sorting device is provided at the end of the detection platform (1); The safety detection device comprises an MCU controller, a display, a perception detection module (2) and a visual detection module (3); the display, the perception detection module (2) and the visual detection module (3) are all electrically connected to the MCU controller; the perception detection module (2) is used to detect the odor and metal content of food; and the visual detection module (3) is used to detect the freshness of meat food. The alarm sorting device includes an audible and visual alarm circuit, a photoelectric sensor and a relay. The audible and visual alarm circuit, the photoelectric sensor and the relay are all electrically connected to the MCU controller. The audible and visual alarm circuit is used to alarm for abnormal detection situations.

2. The food safety intelligent monitoring system according to claim 1, characterized in that: The inspection table (1) comprises support legs (11), an operating table (12), an electric slide rail (13), a tray (14) and an inspection box (15), wherein the operating table (12) is arranged on four support legs (11), the electric slide rail (13) is mounted on the operating table (12), the bottom of the tray (14) is mounted on the upper rail of the electric slide rail (13), the inspection box (15) is fixed on the operating table (12), and the electric slide rail (13) passes through the inspection box (15).

3. The food safety intelligent monitoring system according to claim 2, characterized in that: The sensing detection module (2) comprises a detection probe, which is fixedly arranged at the top left end of the detection box (15), and the detection probe comprises a hydrogen sulfide sensor and a metal detection unit; The metal detection unit includes a transmitting circuit and a receiving circuit. The transmitting circuit includes a transistor Q1, a resistor R1 and a transmitting coil. The base of the transistor Q1 is connected to the excitation signal source, the emitter of the transistor Q1 is grounded through the resistor R1, and the collector of the transistor Q1 is electrically connected to the transmitting coil. The receiving circuit includes a detection coil, an amplifier circuit and a rectifier. The output end of the detection coil is connected to the input end of the amplifier circuit, the output end of the amplifier circuit is electrically connected to the input end of the rectifier, and the output end of the rectifier is electrically connected to the signal input end of the MCU controller.

4. The food safety intelligent monitoring system according to claim 2, characterized in that: The visual detection module (3) comprises a camera and an image recognizer. The visual detection module (3) is fixedly arranged at the top right end of the detection box (15). The camera is electrically connected to the image recognizer, and the image recognizer is electrically connected to the MCU controller.

5. The food safety intelligent monitoring system according to claim 1, characterized in that: The sound and light alarm circuit includes a sound reminder circuit and an LED light group. The sound reminder circuit includes a buzzer alarm and a transistor drive circuit. The input end of the transistor drive circuit is electrically connected to a signal output end of the MCU controller, and the output end of the transistor drive circuit is electrically connected to the buzzer alarm; the positive pole of the LED light group is electrically connected to the other signal output end of the MCU controller through a pull-up resistor, and the negative pole of the LED light group is grounded.

6. The food safety intelligent monitoring system according to claim 2, characterized in that: The photoelectric sensor is arranged at the sorting position at the end of the operating table (12), the relay is connected to the power supply circuit of the sorting robot, and the driving end of the relay is electrically connected to the MCU controller.

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