CN111861349A - Food refrigeration and freezing storage intelligent monitoring management system based on big data - Google Patents

Food refrigeration and freezing storage intelligent monitoring management system based on big data Download PDF

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CN111861349A
CN111861349A CN202010770664.1A CN202010770664A CN111861349A CN 111861349 A CN111861349 A CN 111861349A CN 202010770664 A CN202010770664 A CN 202010770664A CN 111861349 A CN111861349 A CN 111861349A
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thickness
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陈汉元
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00—Measuring or testing not otherwise provided for
    • G01D21/02—Measuring two or more variables by means not covered by a single other subclass
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00—Control of temperature
    • G05D23/19—Control of temperature characterised by the use of electric means
    • G05D23/1927—Control of temperature characterised by the use of electric means using a plurality of sensors
    • G05D23/193—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces
    • G05D23/1932—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of a plurality of spaces
    • G05D23/1934—Control of temperature characterised by the use of electric means using a plurality of sensors sensing the temperaure in different places in thermal relationship with one or more spaces to control the temperature of a plurality of spaces each space being provided with one sensor acting on one or more control means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462—Approximate or statistical queries
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y20/00—Information sensed or collected by the things
    • G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/10—Detection; Monitoring
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/20—Analytics; Diagnosis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives

Abstract

The invention discloses a big data-based intelligent monitoring and management system for food refrigeration, freezing and storage, which comprises an area classification module, an odor detection module, an odor analysis module, a storage environment detection module, a temperature monitoring module, a temperature analysis module, a thickness monitoring module, a thickness analysis module, a display terminal, a control server and a storage database; the food storage system classifies and stores foods with different odor grades through the region classification module, the odor detection module and the odor analysis module in combination with the control server, detects and adjusts the environment in each storage region, comprehensively analyzes the temperature stability influence coefficient in each storage region through the temperature monitoring module, the temperature analysis module and the control server, inspects and maintains the storage region with unstable temperature, simultaneously monitors the frosting thickness of the inner wall of each storage region, performs defrosting operation on the storage region needing defrosting, and realizes the commodity value and the economic value created for the foods by refrigerating and storing.

Description

Food refrigeration and freezing storage intelligent monitoring management system based on big data
Technical Field
The invention relates to the field of refrigeration storage monitoring management, in particular to a food refrigeration, freezing and storage intelligent monitoring management system based on big data.
Background
The refrigeration storage occupies a very important position in food cold chain logistics, and is remarkably developed in China in recent years, so that the specification and capacity of the built storage are rapidly increased, and the management and control of the refrigeration storage are increasingly perfect.
However, the existing refrigeration storage monitoring management technology still has some defects, most of the existing refrigeration storage management technology directly stores food in a storage area, the smell of food leakage is not considered, taint of odor occurs among different foods, the quality of the food is influenced, and the environment in the storage area is not considered, so that the preservation time of the food is reduced, meanwhile, the existing refrigeration storage monitoring technology is subjected to manual visual inspection, the temperature change cannot be monitored constantly, the temperature in the storage area is unstable, the problem that the food is deteriorated is solved, frost on the inner wall of the storage is cleaned regularly through manual work, the manual workload is increased, in order to solve the problems, the intelligent monitoring management system for the refrigeration storage and the freezing storage of the food based on big data is designed.
Disclosure of Invention
The invention aims to provide a big data-based intelligent monitoring and management system for food refrigeration, freezing and storage, which classifies and stores foods with different odor grades through a region classification module, an odor detection module and an odor analysis module in combination with a control server, detects and regulates the environment in each storage region, comprehensively analyzes the temperature stability influence coefficient in each storage region through a temperature monitoring module, a temperature analysis module and the control server, checks and maintains the storage region with unstable temperature, detects the frosting thickness of the inner wall of each storage region, performs defrosting operation on the storage region needing defrosting, and solves the problems in the background technology.
The purpose of the invention can be realized by the following technical scheme:
a big data-based intelligent monitoring and management system for food refrigeration, freezing and storage comprises a region classification module, an odor detection module, an odor analysis module, a storage environment detection module, a temperature monitoring module, a temperature analysis module, a thickness monitoring module, a thickness analysis module, a display terminal, a control server and a storage database;
the region classification module is used for classifying the refrigeration storage site according to the odor grades of the leaked gas of different foods, namely an odorless region, a weak odor region and a strong odor region, dividing each classified storage region into a plurality of sub-regions with the same area according to the modes of equal length and equal width, numbering each sub-region in each storage region, and sequentially and respectively numbering a sub-regions in the odorless region1,a2,...,ai,...,anThe serial numbers of all sub-areas in the weak odor area are respectively b1,b2,...,bi,...,bnThe numbers of all the sub-areas in the weak odor area are respectively c1,c2,...,ci,...,cnThe numbers of all the sub-areas in the strong odor area are d1,d2,...,di,...,dnSending the number of each sub-area in each storage area to a storage database;
the odor detection module comprises an odor detector and an odor analysis module, wherein the odor detector is used for detecting odor leaked from the food to be stored, detecting a gas concentration value leaked from the food to be stored through the odor detector, and sending the detected gas concentration value leaked from the food to be stored to the odor analysis module;
the odor analysis module is connected with the odor detection module and used for receiving the gas concentration value of the food leakage to be stored sent by the odor detection module, extracting the gas concentration value corresponding to each odor grade stored in the storage database, comparing the received gas concentration value of the food leakage to be stored with the stored gas concentration value corresponding to each odor grade, screening the odor grade corresponding to the gas concentration value of the food leakage to be stored, and sending the odor grade corresponding to the screened gas concentration value of the food leakage to be stored to the control server;
the storage environment detection module is used for detecting each environmental parameter in each storage area, detecting the humidity, the light transmittance and the number of microorganisms in the environmental parameters in each storage area in real time, and sending the detected value of each environmental parameter in each storage area to the control server;
the control server is respectively connected with the odor analysis module and the storage environment detection module and is used for receiving odor grades corresponding to the concentration values of the gas leaked from the food to be stored and sent by the odor analysis module, receiving environmental parameter values in storage areas sent by the storage environment detection module, placing the odor grades of the gas leaked from the food to be stored in the corresponding odor grade areas, recording the types of the stored food and the numbers of the sub-areas stored in the corresponding odor grade areas, and sending the types of the stored food and the numbers of the sub-areas stored in the corresponding odor grade areas to the storage database;
meanwhile, the control server extracts a standard range of each environmental parameter value in a storage area stored in the storage database, compares each received environmental parameter value in each storage area with the standard range of the corresponding environmental parameter value in the storage area, if a certain environmental parameter value in a certain storage area is in the standard range of the corresponding environmental parameter value, the environmental parameter in the storage area is in accordance with the standard requirement, if the certain environmental parameter value in a certain storage area is out of the standard range of the corresponding environmental parameter value, the environmental parameter in the storage area is in accordance with the standard requirement, the environmental parameter in each storage area which is not in accordance with the standard requirement is counted, the environmental parameter in each storage area which is in accordance with the standard requirement is adjusted until each environmental parameter in each storage area is in accordance with the standard requirement;
the temperature monitoring module comprises a temperature sensor and is used for monitoring constant temperature in each storage area, regularly monitoring the constant temperature in each storage area through the temperature sensor, counting the regularly monitored temperature in each storage area, and sequentially forming a regularly monitored temperature set W in each storage areaXT(wxt1,wxt2,...,wxtj,...,wxtm)，wxtjThe temperature monitoring method comprises the steps that the temperature monitored in the jth time period in the xth storage area is expressed, x is a, b, c and d, and a set of temperatures monitored in timing in each storage area is sent to a temperature analysis module;
the temperature analysis module is connected with the temperature monitoring module and used for receiving the temperature set which is sent by the temperature monitoring module and is regularly monitored in each storage area, extracting the standard constant temperature in each storage area stored in the storage database, comparing the received temperature which is regularly monitored in each storage area with the standard constant temperature in the corresponding storage area, counting the comparison difference value of the regularly monitored temperature in each storage area, and forming a comparison difference value set delta W of the regularly monitored temperature in each storage areaXT(Δwxt1,Δwxt2,...,Δwxtj,...,Δwxtm)，ΔwxtjThe comparison difference value set of the timing monitoring temperature in each storage area is sent to the control server;
the control server is connected with the temperature analysis module and used for receiving a comparison difference set of regularly monitored temperatures in each storage area sent by the temperature analysis module, calculating a temperature stability influence coefficient in each storage area, extracting a standard temperature stability influence coefficient range in each storage area stored in the storage database, comparing the calculated temperature stability influence coefficient in each storage area with the corresponding standard temperature stability influence coefficient range in the storage area, if the temperature stability influence coefficient in a certain storage area is within the standard temperature stability influence coefficient range in the corresponding storage area, indicating that the temperature in the storage area is stable, if the temperature stability influence coefficient in a certain storage area is outside the standard temperature stability influence coefficient range in the corresponding storage area, indicating that the temperature in the storage area is unstable, counting the storage area number of unstable temperature, sending the storage area number with unstable temperature to a display terminal;
the thickness monitoring module comprises an ultrasonic thickness sensor and is used for monitoring the frosting thickness of the inner wall of each storage area in real time, monitoring the frosting thickness of the inner wall of each storage area in real time through the ultrasonic thickness sensor and sending the monitored frosting thickness of the inner wall of each storage area to the thickness analysis module;
the thickness analysis module is connected with the thickness monitoring module and used for receiving the frosting thickness of the inner wall of each storage area sent by the thickness monitoring module, extracting the frosting safety thickness of the inner wall of each storage area stored in the storage database, comparing the frosting thickness of the inner wall of each storage area with the frosting safety thickness of the inner wall of the corresponding storage area, if the frosting thickness of the inner wall of a certain storage area is smaller than or equal to the frosting safety thickness of the inner wall of the corresponding storage area, the storage area is not required to be defrosted temporarily, if the frosting thickness of the inner wall of the certain storage area is larger than the frosting safety thickness of the inner wall of the corresponding storage area, the storage area is required to be defrosted, counting the number of the storage area required to be defrosted, and sending the number of;
the display terminal is respectively connected with the control server and the thickness analysis module and used for receiving the storage area number of unstable temperature sent by the analysis server, receiving the storage area number of need defrosting sent by the thickness analysis module and displaying the storage area number, relevant personnel carry out investigation and maintenance on the corresponding storage area of unstable temperature according to the displayed number, carry out defrosting operation on the corresponding storage area of need defrosting according to the displayed number and send the storage area number after defrosting to the control server;
the control server is used for receiving the number of the storage area after defrosting sent by the display terminal, extracting the standard constant temperature in each storage area stored in the storage database, regulating and controlling the temperature in the storage area after defrosting to be lower than the standard constant temperature in the storage area, cooling for set time, and regulating and controlling the temperature in the storage area to be the standard constant temperature after the set time is up;
the storage database is respectively connected with the area classification module, the odor analysis module, the temperature analysis module, the thickness analysis module and the control server and is used for receiving numbers of all sub-areas in all storage areas sent by the area classification module, receiving types of stored food sent by the control server and numbers of the sub-areas stored in the corresponding odor grade areas, storing gas concentration values corresponding to all odor grades, wherein all odor grades are odorless grades, weak odor grades and strong odor grades respectively, storing standard ranges of all environmental parameter values in the storage areas and standard constant temperatures in all storage areas, and storing a standard temperature stability influence coefficient range in all storage areas and frosting safety thickness of the inner walls of all storage areas.
Further, the storage environment detection module comprises a humidity detection unit, a light transmittance detection unit and a microorganism detection unit, wherein the humidity detection unit is a humidity sensor and used for detecting humidity in environment parameters in each storage area in real time, the light transmittance detection unit is a light transmittance tester and used for detecting light transmittance in the environment parameters in each storage area in real time, and the microorganism detection unit is a microorganism detector and used for detecting the quantity of microorganisms in the environment parameters in each storage area in real time.
Further, the calculation formula of the temperature stability influence coefficient in each storage area is
Figure BDA0002616491740000061
ξxExpressed as the temperature stability factor in the x-th storage region, x ═ a, b, c, d, pi expressed as the circumferential ratio, approximately equal to 3.14, Δ wxtjExpressed as the difference between the temperature detected in the jth time period of each day in the xth storage area and the standard constant temperature in the corresponding storage area, and e is expressed as a natural number and is equal to 2.718.
Has the advantages that:
(1) according to the intelligent monitoring and management system for the food refrigeration, refrigeration and storage based on the big data, the foods with different odor grades are classified and stored through the region classification module, the odor detection module and the odor analysis module in combination with the control server, odor tainting among different foods is prevented, the quality of the foods is guaranteed, and the environment in each storage region is detected and adjusted, so that the fresh-keeping time of the foods is prolonged.
(2) According to the invention, the control server comprehensively calculates the temperature stability influence coefficient in each storage area, judges whether the temperature in each storage area is stable, displays the storage area number with unstable temperature, and related personnel perform investigation and maintenance on the storage area with unstable temperature according to the display number, so that food deterioration caused by unstable temperature is prevented, and the economic loss is reduced.
(3) The temperature in the storage area after defrosting is regulated to be lower than the standard constant temperature in the storage area through the control server, the temperature in the storage area is regulated to be the standard constant temperature within the storage area after the defrosting is finished, the temperature in the storage area is regulated to be the standard constant temperature after the set time is up, and therefore the temperature in the storage area can be quickly reduced, the influence caused by temperature change is reduced, and the commodity value and the economic value created for food by cold storage are realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic view of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an intelligent monitoring and management system for food refrigeration, freezing and warehousing based on big data comprises an area classification module, an odor detection module, an odor analysis module, a warehousing environment detection module, a temperature monitoring module, a temperature analysis module, a thickness monitoring module, a thickness analysis module, a display terminal, a control server and a storage database;
the region classification module is used for classifying the refrigeration storage site according to the odor grades of the leaked gas of different foods, namely an odorless region, a weak odor region and a strong odor region, dividing each classified storage region into a plurality of sub-regions with the same area according to the modes of equal length and equal width, numbering each sub-region in each storage region, and sequentially and respectively numbering a sub-regions in the odorless region1,a2,...,ai,...,anThe serial numbers of all sub-areas in the weak odor area are respectively b1,b2,...,bi,...,bnThe numbers of all the sub-areas in the weak odor area are respectively c1,c2,...,ci,...,cnThe numbers of all the sub-areas in the strong odor area are d1,d2,...,di,...,dnSending the number of each sub-area in each storage area to a storage database;
the odor detection module comprises an odor detector and an odor analysis module, wherein the odor detector is used for detecting odor leaked from the food to be stored, detecting a gas concentration value leaked from the food to be stored through the odor detector, and sending the detected gas concentration value leaked from the food to be stored to the odor analysis module;
the odor analysis module is connected with the odor detection module and used for receiving the gas concentration value of the food leakage to be stored sent by the odor detection module, extracting the gas concentration value corresponding to each odor grade stored in the storage database, comparing the received gas concentration value of the food leakage to be stored with the stored gas concentration value corresponding to each odor grade, screening the odor grade corresponding to the gas concentration value of the food leakage to be stored, and sending the screened odor grade corresponding to the gas concentration value of the food leakage to be stored to the control server.
The storage environment detection module comprises a humidity detection unit, a light transmittance detection unit and a microorganism detection unit, wherein the humidity detection unit is a humidity sensor and is used for detecting humidity in environment parameters in each storage area in real time;
the control server is respectively connected with the odor analysis module and the storage environment detection module and is used for receiving odor grades corresponding to the concentration values of the gas leaked from the food to be stored and sent by the odor analysis module, receiving environmental parameter values in storage areas sent by the storage environment detection module, placing the odor grades of the gas leaked from the food to be stored in the corresponding odor grade areas, preventing different foods from tainting odor, guaranteeing the quality of the food, recording the types of the stored food and the numbers of the sub-areas stored in the corresponding odor grade areas, and sending the types of the stored food and the numbers of the sub-areas stored in the corresponding odor grade areas to the storage database;
meanwhile, the control server extracts the standard range of each environmental parameter value in the storage area stored in the storage database, compares each received environmental parameter value in each storage area with the standard range of the corresponding environmental parameter value in the storage area, if a certain environmental parameter value in a certain storage area is within the standard range of the corresponding environmental parameter value, the environmental parameter in the storage area is in accordance with the standard requirement, if a certain environmental parameter value in a certain storage area is outside the standard range of the corresponding environmental parameter value, the environmental parameter in the storage area is in accordance with the standard requirement, the environmental parameter in each storage area which is not in accordance with the standard requirement is counted, and adjusting the environmental parameters which do not meet the standard requirements in each storage area until the environmental parameters in each storage area meet the standard requirements, thereby improving the fresh-keeping time of the food.
The temperature monitoring module comprises a temperature sensor and is used for monitoring constant temperature in each storage area, regularly monitoring the constant temperature in each storage area through the temperature sensor, counting the regularly monitored temperature in each storage area, and sequentially forming a regularly monitored temperature set W in each storage areaXT(wxt1,wxt2,...,wxtj,...,wxtm)，wxtjThe temperature monitoring method comprises the steps that the temperature monitored in the jth time period in the xth storage area is expressed, x is a, b, c and d, and a set of temperatures monitored in timing in each storage area is sent to a temperature analysis module;
the temperature analysis module is connected with the temperature monitoring module and used for receiving the temperature set which is sent by the temperature monitoring module and is regularly monitored in each storage area, extracting the standard constant temperature in each storage area stored in the storage database, comparing the received temperature which is regularly monitored in each storage area with the standard constant temperature in the corresponding storage area, counting the comparison difference of the regularly monitored temperature in each storage area, providing reliable reference data for later-stage comprehensive calculation of the temperature stability influence coefficient in each storage area, and forming a comparison difference set delta W of the regularly monitored temperature in each storage areaXT(Δwxt1,Δwxt2,...,Δwxtj,...,Δwxtm)，ΔwxtjThe comparison difference value set of the timing monitoring temperature in each storage area is sent to the control server;
the control server is connected with the temperature analysis module and used for receiving the comparison difference set of the regularly monitored temperature in each storage area sent by the temperature analysis module and calculating the temperature stability influence coefficient in each storage area, and the calculation formula of the temperature stability influence coefficient in each storage area is
Figure BDA0002616491740000091
ξxExpressed as the temperature stability factor in the x-th storage region, x ═ a, b, c, d, pi expressed as the circumferential ratio, approximately equal to 3.14, Δ wxtjThe method comprises the steps of expressing a difference value of comparison between the temperature detected in the jth time period every day in the xth storage area and the standard constant temperature in the corresponding storage area, expressing e as a natural number which is equal to 2.718, extracting the range of the standard temperature stability influence coefficient in each storage area stored in a storage database, comparing the calculated temperature stability influence coefficient in each storage area with the range of the standard temperature stability influence coefficient in the corresponding storage area, if the temperature stability influence coefficient in a certain storage area is located in the range of the standard temperature stability influence coefficient in the corresponding storage area, indicating that the temperature in the storage area is stable, if the temperature stability influence coefficient in a certain storage area is located out of the range of the standard temperature stability influence coefficient in the corresponding storage area, indicating that the temperature in the storage area is unstable, counting the number of the storage area with unstable temperature, and sending the number of the storage area with unstable temperature to a display terminal.
The thickness monitoring module comprises an ultrasonic thickness sensor and is used for monitoring the frosting thickness of the inner wall of each storage area in real time, monitoring the frosting thickness of the inner wall of each storage area in real time through the ultrasonic thickness sensor and sending the monitored frosting thickness of the inner wall of each storage area to the thickness analysis module;
the thickness analysis module is connected with the thickness monitoring module and used for receiving the frosting thickness of the inner wall of each storage area sent by the thickness monitoring module, the frosting safety thickness of the inner wall of each storage area stored in the storage database is extracted, the frosting thickness of the inner wall of each storage area is compared with the frosting safety thickness of the inner wall of the corresponding storage area, if the frosting thickness of the inner wall of a certain storage area is smaller than or equal to the frosting safety thickness of the inner wall of the corresponding storage area, the condition that the storage area does not need defrosting temporarily is indicated, if the frosting thickness of the inner wall of a certain storage area is larger than the frosting safety thickness of the inner wall of the corresponding storage area, the condition that the storage area needs defrosting is indicated, the storage area number needing defrosting is counted, and the storage area number needing defrosting.
The display terminal is respectively connected with the control server and the thickness analysis module and used for receiving the storage area number of the unstable temperature sent by the analysis server, receiving the storage area number needing defrosting sent by the thickness analysis module and displaying the storage area number, and related personnel can check and maintain the corresponding storage area of the unstable temperature according to the displayed number, so that food deterioration caused by unstable temperature is prevented, and economic loss is reduced; meanwhile, related personnel perform defrosting operation on the corresponding storage area needing defrosting according to the displayed serial number, so that the manual workload is reduced, and the serial number of the storage area after defrosting is sent to the control server;
the control server is used for receiving the storage area serial number after defrosting sent by the display terminal, extracting the standard constant temperature in each storage area stored in the storage database, regulating and controlling the temperature in the storage area after defrosting to be lower than the standard constant temperature in the storage area, cooling within set time, and regulating and controlling the temperature in the storage area to be the standard constant temperature after the set time is up, so that the storage area can be rapidly cooled, the influence caused by temperature change is reduced, and the commodity value and the economic value created by the refrigerated storage for food are realized.
The storage database is respectively connected with the area classification module, the odor analysis module, the temperature analysis module, the thickness analysis module and the control server and is used for receiving numbers of all sub-areas in all storage areas sent by the area classification module, receiving types of stored food sent by the control server and numbers of the sub-areas stored in the corresponding odor grade areas, storing gas concentration values corresponding to all odor grades, wherein all odor grades are odorless grades, weak odor grades and strong odor grades respectively, storing standard ranges of all environmental parameter values in the storage areas and standard constant temperatures in all storage areas, and storing a standard temperature stability influence coefficient range in all storage areas and frosting safety thickness of the inner walls of all storage areas.
The foregoing is merely exemplary and illustrative of the principles of the present invention and various modifications, additions and substitutions of the specific embodiments described herein may be made by those skilled in the art without departing from the principles of the present invention or exceeding the scope of the claims set forth herein.

Claims (3)

1. The utility model provides a food refrigeration storage intelligent monitoring management system based on big data which characterized in that: the system comprises a region classification module, an odor detection module, an odor analysis module, a storage environment detection module, a temperature monitoring module, a temperature analysis module, a thickness monitoring module, a thickness analysis module, a display terminal, a control server and a storage database;
the area classification module is used for classifying the storage sites according to the odor grades of different food leakage gases, namely an odorless area, a weak odor area and a strong odor area, dividing each classified storage area into a plurality of sub-areas with the same area according to the modes of equal length and equal width, numbering each sub-area in each storage area, and sequentially and respectively numbering the sub-areas in the odorless area as a1,a2,...,ai,...,anThe serial numbers of all sub-areas in the weak odor area are respectively b1,b2,...,bi,...,bnThe numbers of all the sub-areas in the weak odor area are respectively c1,c2,...,ci,...,cnThe numbers of all the sub-areas in the strong odor area are d1,d2,...,di,...,dnSending the number of each sub-area in each storage area to a storage database;
the odor detection module comprises an odor detector and an odor analysis module, wherein the odor detector is used for detecting odor leaked from the food to be stored, detecting a gas concentration value leaked from the food to be stored through the odor detector, and sending the detected gas concentration value leaked from the food to be stored to the odor analysis module;
the odor analysis module is connected with the odor detection module and used for receiving the gas concentration value of the food leakage to be stored sent by the odor detection module, extracting the gas concentration value corresponding to each odor grade stored in the storage database, comparing the received gas concentration value of the food leakage to be stored with the stored gas concentration value corresponding to each odor grade, screening the odor grade corresponding to the gas concentration value of the food leakage to be stored, and sending the odor grade corresponding to the screened gas concentration value of the food leakage to be stored to the control server;
the storage environment detection module is used for detecting each environmental parameter in each storage area, detecting the humidity, the light transmittance and the number of microorganisms in the environmental parameters in each storage area in real time, and sending the detected value of each environmental parameter in each storage area to the control server;
the control server is respectively connected with the odor analysis module and the storage environment detection module and is used for receiving odor grades corresponding to the concentration values of the gas leaked from the food to be stored and sent by the odor analysis module, receiving environmental parameter values in storage areas sent by the storage environment detection module, placing the odor grades of the gas leaked from the food to be stored in the corresponding odor grade areas, recording the types of the stored food and the numbers of the sub-areas stored in the corresponding odor grade areas, and sending the types of the stored food and the numbers of the sub-areas stored in the corresponding odor grade areas to the storage database;
meanwhile, the control server extracts a standard range of each environmental parameter value in a storage area stored in the storage database, compares each received environmental parameter value in each storage area with the standard range of the corresponding environmental parameter value in the storage area, if a certain environmental parameter value in a certain storage area is in the standard range of the corresponding environmental parameter value, the environmental parameter in the storage area is in accordance with the standard requirement, if the certain environmental parameter value in a certain storage area is out of the standard range of the corresponding environmental parameter value, the environmental parameter in the storage area is in accordance with the standard requirement, the environmental parameter in each storage area which is not in accordance with the standard requirement is counted, the environmental parameter in each storage area which is in accordance with the standard requirement is adjusted until each environmental parameter in each storage area is in accordance with the standard requirement;
the temperature monitoring module comprises a temperature sensor and is used for monitoring constant temperature in each storage area, regularly monitoring the constant temperature in each storage area through the temperature sensor, counting the regularly monitored temperature in each storage area, and sequentially forming a regularly monitored temperature set W in each storage areaXT(wxt1,wxt2,...,wxtj,...,wxtm)，wxtjThe temperature monitoring method comprises the steps that the temperature monitored in the jth time period in the xth storage area is expressed, x is a, b, c and d, and a set of temperatures monitored in timing in each storage area is sent to a temperature analysis module;
the temperature analysis module is connected with the temperature monitoring module and used for receiving the temperature set which is sent by the temperature monitoring module and is regularly monitored in each storage area, extracting the standard constant temperature in each storage area stored in the storage database, comparing the received temperature which is regularly monitored in each storage area with the standard constant temperature in the corresponding storage area, counting the comparison difference value of the regularly monitored temperature in each storage area, and forming a comparison difference value set delta W of the regularly monitored temperature in each storage areaXT(Δwxt1,Δwxt2,...,Δwxtj,...,Δwxtm)，ΔwxtjThe comparison difference value set of the timing monitoring temperature in each storage area is sent to the control server;
the control server is connected with the temperature analysis module and used for receiving a comparison difference set of regularly monitored temperatures in each storage area sent by the temperature analysis module, calculating a temperature stability influence coefficient in each storage area, extracting a standard temperature stability influence coefficient range in each storage area stored in the storage database, comparing the calculated temperature stability influence coefficient in each storage area with the corresponding standard temperature stability influence coefficient range in the storage area, if the temperature stability influence coefficient in a certain storage area is within the standard temperature stability influence coefficient range in the corresponding storage area, indicating that the temperature in the storage area is stable, if the temperature stability influence coefficient in a certain storage area is outside the standard temperature stability influence coefficient range in the corresponding storage area, indicating that the temperature in the storage area is unstable, counting the storage area number of unstable temperature, sending the storage area number with unstable temperature to a display terminal;
the thickness monitoring module comprises an ultrasonic thickness sensor and is used for monitoring the frosting thickness of the inner wall of each storage area in real time, monitoring the frosting thickness of the inner wall of each storage area in real time through the ultrasonic thickness sensor and sending the monitored frosting thickness of the inner wall of each storage area to the thickness analysis module;
the thickness analysis module is connected with the thickness monitoring module and used for receiving the frosting thickness of the inner wall of each storage area sent by the thickness monitoring module, extracting the frosting safety thickness of the inner wall of each storage area stored in the storage database, comparing the frosting thickness of the inner wall of each storage area with the frosting safety thickness of the inner wall of the corresponding storage area, if the frosting thickness of the inner wall of a certain storage area is smaller than or equal to the frosting safety thickness of the inner wall of the corresponding storage area, the storage area is not required to be defrosted temporarily, if the frosting thickness of the inner wall of the certain storage area is larger than the frosting safety thickness of the inner wall of the corresponding storage area, the storage area is required to be defrosted, counting the number of the storage area required to be defrosted, and sending the number of;
the display terminal is respectively connected with the control server and the thickness analysis module and used for receiving the storage area number of unstable temperature sent by the analysis server, receiving the storage area number of need defrosting sent by the thickness analysis module and displaying the storage area number, relevant personnel carry out investigation and maintenance on the corresponding storage area of unstable temperature according to the displayed number, carry out defrosting operation on the corresponding storage area of need defrosting according to the displayed number and send the storage area number after defrosting to the control server;
the control server is used for receiving the number of the storage area after defrosting sent by the display terminal, extracting the standard constant temperature in each storage area stored in the storage database, cooling the storage area after defrosting for a set time, controlling the temperature to be lower than the standard constant temperature in the storage area, and controlling the temperature in the storage area to be the standard constant temperature after the set time is up;
the storage database is respectively connected with the area classification module, the odor analysis module, the temperature analysis module, the thickness analysis module and the control server and is used for receiving numbers of all sub-areas in all storage areas sent by the area classification module, receiving types of stored food sent by the control server and numbers of the sub-areas stored in the corresponding odor grade areas, storing gas concentration values corresponding to all odor grades, wherein all odor grades are odorless grades, weak odor grades and strong odor grades respectively, storing standard ranges of all environmental parameter values in the storage areas and standard constant temperatures in all storage areas, and storing a standard temperature stability influence coefficient range in all storage areas and frosting safety thickness of the inner walls of all storage areas.
2. The intelligent monitoring and management system for food refrigeration, freezing and storage based on big data as claimed in claim 1, wherein: the storage environment detection module comprises a humidity detection unit, a light transmittance detection unit and a microorganism detection unit, wherein the humidity detection unit is a humidity sensor and is used for detecting the humidity in the environment parameters in each storage area in real time, the light transmittance detection unit is a light transmittance tester and is used for detecting the light transmittance in the environment parameters in each storage area in real time, and the microorganism detection unit is a microorganism detector and is used for detecting the quantity of microorganisms in the environment parameters in each storage area in real time.
3. The intelligent monitoring and management system for food refrigeration, freezing and storage based on big data as claimed in claim 1, wherein: the calculation formula of the temperature stability influence coefficient in each storage area is
Figure FDA0002616491730000051
ξxExpressed as the temperature stability factor in the x-th storage region, x ═ a, b, c, d, pi expressed as the circumferential ratio, approximately equal to 3.14, Δ wxtjExpressed as the difference between the temperature detected in the jth time period of each day in the xth storage area and the standard constant temperature in the corresponding storage area, and e is expressed as a natural number and is equal to 2.718.
CN202010770664.1A 2020-08-04 2020-08-04 Food refrigeration and freezing storage intelligent monitoring management system based on big data Withdrawn CN111861349A (en)

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CN112985494A (en) * 2021-02-02 2021-06-18 南京可宇科技有限公司 Cold chain wisdom logistics transportation on-line real-time supervision cloud platform based on big data and artificial intelligence
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112882516A (en) * 2021-01-11 2021-06-01 南京红薇电子科技有限公司 Multifunctional exhibition hall display environment intelligent regulation and control method and cloud regulation and control platform based on artificial intelligence and big data
CN112985494A (en) * 2021-02-02 2021-06-18 南京可宇科技有限公司 Cold chain wisdom logistics transportation on-line real-time supervision cloud platform based on big data and artificial intelligence
CN112986503A (en) * 2021-04-20 2021-06-18 深圳市儒翰基因科技有限公司 Quantitative monitoring system and method for pathogen microorganism safety risk indexes
CN114047751A (en) * 2021-10-28 2022-02-15 成都信息工程大学 Robot three-dimensional inspection system and method in refrigerator
CN115019482A (en) * 2022-08-04 2022-09-06 武汉鼎业环保工程技术有限公司 Dangerous gas itinerant early warning method and device based on big data
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