CN112066638A - Intelligent cold-chain logistics commodity storage environment regulation and control system based on Internet of things control - Google Patents
Intelligent cold-chain logistics commodity storage environment regulation and control system based on Internet of things control Download PDFInfo
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- 230000007613 environmental effect Effects 0.000 claims abstract description 121
- 230000001105 regulatory effect Effects 0.000 claims abstract description 39
- 238000005057 refrigeration Methods 0.000 claims abstract description 34
- 238000012545 processing Methods 0.000 claims abstract description 20
- 238000007781 pre-processing Methods 0.000 claims abstract description 17
- 230000008014 freezing Effects 0.000 claims description 62
- 238000007710 freezing Methods 0.000 claims description 62
- 239000003814 drug Substances 0.000 claims description 33
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 20
- 238000005286 illumination Methods 0.000 claims description 17
- 239000008274 jelly Substances 0.000 claims description 15
- 238000000034 method Methods 0.000 claims description 15
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 14
- 229910052760 oxygen Inorganic materials 0.000 claims description 14
- 239000001301 oxygen Substances 0.000 claims description 14
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 10
- 239000001569 carbon dioxide Substances 0.000 claims description 10
- 239000007789 gas Substances 0.000 claims description 6
- 230000001276 controlling effect Effects 0.000 claims description 5
- 238000012216 screening Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 description 6
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- 238000010586 diagram Methods 0.000 description 2
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- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D29/00—Arrangement or mounting of control or safety devices
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D13/00—Stationary devices, e.g. cold-rooms
- F25D13/02—Stationary devices, e.g. cold-rooms with several cooling compartments, e.g. refrigerated locker systems
- F25D13/04—Stationary devices, e.g. cold-rooms with several cooling compartments, e.g. refrigerated locker systems the compartments being at different temperatures
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F25—REFRIGERATION OR COOLING; COMBINED HEATING AND REFRIGERATION SYSTEMS; HEAT PUMP SYSTEMS; MANUFACTURE OR STORAGE OF ICE; LIQUEFACTION SOLIDIFICATION OF GASES
- F25D—REFRIGERATORS; COLD ROOMS; ICE-BOXES; COOLING OR FREEZING APPARATUS NOT OTHERWISE PROVIDED FOR
- F25D17/00—Arrangements for circulating cooling fluids; Arrangements for circulating gas, e.g. air, within refrigerated spaces
- F25D17/04—Arrangements for circulating cooling fluids; Arrangements for circulating gas, e.g. air, within refrigerated spaces for circulating air, e.g. by convection
- F25D17/042—Air treating means within refrigerated spaces
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Abstract
The invention discloses an intelligent regulation and control system for a cold-chain logistics commodity storage environment based on Internet of things control, which comprises a refrigeration storage temperature region division module, an environment parameter acquisition module, a parameter preprocessing module, an analysis server and an intelligent regulation and control terminal, wherein the refrigeration storage temperature region division module is used for dividing each temperature sub-region corresponding to a plurality of gradient temperature intervals for the refrigeration storage for storing cold-chain logistics commodities, and the environment parameter acquisition module is used for acquiring each environment parameter of each temperature sub-region, simultaneously, processing the collected environmental parameters to obtain the comprehensive comparison difference value of the environmental parameters corresponding to the temperature intervals of the steps, and then the environment parameters needing to be regulated and controlled corresponding to the step temperature interval needing to be regulated and controlled are regulated and controlled by combining the intelligent regulation and control terminal, so that the intelligent regulation and control of the cold-chain logistics commodity storage environment are realized, and the regulated and controlled cold storage environment can meet the storage requirements of all cold-chain logistics commodities.
Description
Technical Field
The invention belongs to the technical field of cold-chain logistics commodity storage environment management, and particularly relates to an intelligent cold-chain logistics commodity storage environment regulation and control system based on Internet of things control.
Background
With the rapid development of economy and the continuous improvement of the living standard of residents in China, the consumption concept of people is changed from the traditional single mode to the modern diversification and rapidness, and not only fresh agricultural products are required to be fresh, sanitary and safe, but also the distribution is required to be rapid and timely, so that the rapid development of cold-chain logistics is promoted.
In order to keep the freshness of the cold-chain logistics commodities in the storage process, the storage environment of the cold-chain logistics commodities needs to be regulated and controlled to be suitable for the fresh storage of the cold-chain logistics commodities. However, the existing regulation and control means for the cold-chain logistics commodity transportation and storage environment only installs a single temperature and humidity sensor in a refrigeration house for storing the cold-chain logistics commodities, and when the temperature and humidity in the refrigeration house, which are acquired by the temperature and humidity sensor, are not suitable for the fresh storage of the cold-chain logistics commodities, the refrigeration and humidification operation of the refrigeration house is correspondingly carried out, and the regulation and control method has the following defects:
1. the regulation and control accuracy is not high, as the single temperature and humidity sensor only can reflect the local temperature and humidity of the installation position of the single temperature and humidity sensor and cannot reflect the comprehensive temperature and humidity of the whole refrigeration house, and the fresh-keeping temperature and humidity corresponding to each cold-chain logistics commodity are different, the temperature and humidity of the regulated and controlled storage environment can not meet the fresh-keeping requirements of all cold-chain logistics commodities only by regulating and controlling the temperature and humidity according to the numerical values acquired by the single temperature and humidity sensor;
2. the regulation and control environmental parameter is comparatively single, and cold chain logistics commodity storage environment requires not only the humiture requirement, still includes gaseous composition, illumination intensity requirement etc. only regulates and controls the humiture of storage environment, can not satisfy the fresh-keeping demand of cold chain logistics commodity.
Disclosure of Invention
The invention aims to provide an intelligent regulation and control system for the cold-chain logistics commodity storage environment based on the internet of things control, which has the characteristics of high regulation and control accuracy and comprehensive regulation and control environment parameters, and solves the defects of the existing regulation and control means for the cold-chain logistics commodity transportation and storage environment.
The purpose of the invention can be realized by the following technical scheme:
the cold-chain logistics commodity storage environment intelligent control system based on the control of the Internet of things comprises a refrigeration house temperature area dividing module, an environment parameter collecting module, a parameter preprocessing module, an analysis server and an intelligent control terminal, wherein the refrigeration house temperature area dividing module is used for dividing a refrigeration house space for storing cold-chain logistics commodities into temperature sub-areas corresponding to a plurality of step temperature areas, the environment parameter collecting module is used for collecting environment parameters of the temperature sub-areas corresponding to the divided step temperature areas, the parameter preprocessing module is used for processing the environment parameters of the temperature sub-areas corresponding to the collected step temperature areas, and the intelligent control terminal is used for performing targeted control on the step temperature areas needing environment control according to the processing results of the environment parameters;
the refrigeration house temperature region division module comprises a step temperature region division unit and a temperature region division unit, the step temperature region division unit is used for classifying the refrigeration house space for storing cold chain logistics commodities, and is divided into a refrigeration space and a freezing space, the refrigeration space and the freezing space are divided into a plurality of step temperature regions according to a temperature gradient division mode, and each step temperature region divided by the refrigeration space is marked as s according to the step temperature corresponding to the step temperature region from low to highTibetan medicine1,sTibetan medicine2...sTibetan medicinei....sTibetan medicinen, marking each step temperature interval divided by the freezing space as s according to the step temperature corresponding to the step temperature interval from low to highJelly made from plant1,sJelly made from plant2...sJelly made from plantj....sJelly made from plantm；
The temperature area dividing unit is used for dividing each step temperature area corresponding to the divided refrigerating space and freezing space into a plurality of temperature sub-areas respectively according to the vertical distance equal dividing mode of the area, and each temperature sub-area is numbered according to a preset sequence and is sequentially marked as 1,2.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition terminals, is arranged in each temperature subarea corresponding to each step temperature interval of the divided refrigerating space and freezing space, and is used for acquiring the environment parameters of each temperature subarea, and the obtained environment parameters of each temperature subarea corresponding to each step temperature interval of the refrigerating space form a temperature area parameter set of the step temperature interval of the refrigerating space
Denoted as refrigerating space sTibetan medicineH temperature sub-region corresponding to i step temperature regionsAnd the obtained environmental parameters of the temperature sub-regions corresponding to the step temperature regions of the freezing space form a parameter set of the temperature regions of the step temperature regions of the freezing space
Denoted as the refrigerated space thJelly made from plantThe method comprises the steps that numerical values corresponding to w-th environmental parameters of h-th temperature sub-regions corresponding to j cascade temperature regions are obtained, w represents environmental parameters, w is pt, pe, po, pc and ps, and pt, pe, po, pc and ps represent temperature, humidity, oxygen concentration, carbon dioxide concentration and illumination intensity respectively;
the parameter preprocessing module is connected with the environment parameter acquisition module, receives a refrigerating space step temperature interval temperature area parameter set and a freezing space step temperature interval temperature area parameter set sent by the environment parameter acquisition module, and processes the received environment parameters according to the following steps:
s1: sequentially extracting each environmental parameter corresponding to each temperature subregion corresponding to each step temperature interval from a parameter set of the step temperature interval temperature regions of the refrigerating space according to the marking sequence of each step temperature interval;
s2: comparing each extracted environment parameter of each temperature subregion corresponding to each step temperature interval with each stored environment parameter standard value corresponding to the cold-chain logistics commodity stored in the step temperature interval in the parameter database respectively to obtain each environment parameter comparison difference value corresponding to each temperature subregion of each step temperature interval, and forming a step temperature interval temperature subregion environment parameter comparison set;
s3: screening the environmental parameter comparison difference values corresponding to the single environmental parameters of the single cascade temperature interval in each temperature subarea from the cascade temperature interval temperature subarea environmental parameter comparison set, carrying out mean value processing on the different screened contrast difference values corresponding to the environmental parameters to obtain the environmental parameter comprehensive comparison difference values of the cascade temperature interval, then carrying out the contrast mean value processing on the next environmental parameters until all the environmental parameter comparison mean values of the cascade temperature interval are processed, obtaining the environmental parameter comprehensive comparison difference values of the cascade temperature interval, carrying out the environmental parameter comprehensive comparison difference value calculation of the next cascade temperature interval in such a processing mode, obtaining the environmental parameter comprehensive comparison difference values corresponding to the cascade temperature intervals of the refrigerated space, and sending the environmental parameter comprehensive comparison difference values to an analysis server;
s4: processing each environment parameter corresponding to each temperature subregion of each step temperature interval in the freezing space step temperature interval temperature region parameter set according to the sequence of S1-S3 to obtain each environment parameter comprehensive comparison difference value corresponding to each step temperature interval of the freezing space, and sending the difference value to an analysis server;
the analysis server is connected with the parameter preprocessing module, receives the comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the refrigerated space and the comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the frozen space sent by the parameter preprocessing module, analyzes the received comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the refrigerated space/the frozen space, if the comprehensive comparison difference value of a certain environmental parameter of a certain cascade temperature interval is more than 0, the value corresponding to the environmental parameter is over high, the value corresponding to the environmental parameter needs to be reduced, if the comprehensive comparison difference value of a certain environmental parameter is equal to 0, the environmental parameter does not need to be regulated, if the comprehensive comparison difference value of a certain environmental parameter is less than 0, the value corresponding to the environmental parameter is over low, and the value corresponding to the environmental parameter needs to be improved, the analysis server counts the number of the cascade temperature interval needing to be subjected to environmental parameter regulation and control and the type of the environmental parameter needing to be regulated and controlled in the refrigerating/freezing space, and sends the counted number of the cascade temperature interval needing to be subjected to environmental parameter regulation and control, the type of the environmental parameter needing to be regulated and control and the comprehensive comparison difference value of the environmental parameter to the intelligent regulation and control terminal;
the intelligent control terminal is connected with the analysis server and receives the cascade temperature interval number and the environment parameter type needing to be controlled in the refrigerated space or the frozen space sent by the analysis server and the comprehensive comparison difference value of the environment parameters to control the cascade temperature interval and the environment parameters.
Preferably, the parameter database stores the storage environment parameter standard values corresponding to the cold-chain logistics commodities stored in the cascade temperature intervals corresponding to the refrigerating and freezing spaces, specifically a temperature standard value, a humidity standard value, an oxygen concentration standard value, a carbon dioxide concentration standard value and an illumination intensity standard value.
Preferably, the step temperature interval dividing unit divides the refrigerating space and the freezing space into a plurality of step temperature intervals according to a temperature gradient dividing mode, and the dividing method specifically comprises the following steps:
h1: the refrigerating temperature range t corresponding to the refrigerating spaceTibetan medicineUpper to tTibetan medicineThen, dividing the refrigerating temperature range into a plurality of step temperatures according to the set temperature gradient, wherein the number of the divided step temperatures is recorded as n,
Δ t is expressed as a temperature gradient, where the divided steps have respective temperatures tTibetan medicine1,tTibetan medicine2...tTibetan medicinei....tTibetan medicinen；
H2: dividing the refrigerating space into a plurality of step temperature intervals with the same volume according to the number of the divided step temperatures, wherein the refrigerating temperature in each step temperature interval corresponds to one step temperature respectively, and the step temperature is also a standard storage temperature value corresponding to the step temperature interval storage cold-chain logistics commodity;
h3: the freezing space is divided into a plurality of temperature sections in steps according to the sequence H1-H2.
Preferably, the temperature sub-region dividing unit divides each step temperature region corresponding to the divided refrigerating space and freezing space into a plurality of temperature sub-regions according to a region vertical distance equal dividing mode, and the dividing method specifically comprises the following steps:
w1: counting the interval vertical distance of each step temperature interval corresponding to the divided refrigerating space;
w2: dividing the vertical distance of the interval of each step temperature interval into k sections equally, wherein the vertical distance of each section and the length and width of the interval form a temperature sub-area, and thus, each step temperature interval is divided into a plurality of temperature sub-areas;
w3: each step temperature zone of the freezing space is divided into a plurality of temperature sub-zones for the freezing space according to the sequence of W1-W2.
Preferably, the environment parameter acquisition terminal comprises a temperature sensor, a humidity sensor, a gas sensor and an illumination sensor, wherein the temperature sensor is used for acquiring the temperature of each temperature subregion, the humidity sensor is used for acquiring the humidity of each temperature subregion, the gas sensor is used for acquiring the oxygen concentration and the carbon dioxide concentration of each temperature subregion, and the illumination sensor is used for acquiring the illumination intensity of each temperature subregion.
Preferably, the method for regulating and controlling the environmental parameters by the intelligent regulation and control terminal is that flow valves are respectively installed in the step temperature intervals corresponding to the refrigerating and freezing spaces, when the intelligent regulation and control terminal receives the step temperature interval numbers needing to be subjected to the environmental parameter regulation and control and the environmental parameter types needing to be regulated and controlled in the refrigerating/freezing spaces sent by the analysis server, the flow valves in the step temperature intervals are controlled to be opened, the unit equipment corresponding to the environmental parameter types is connected with the flow valves in the step temperature intervals, the numerical values corresponding to the environmental parameters are regulated and controlled in the step temperature intervals, the regulation and control values corresponding to the environmental parameters are counted in real time, and when the regulation and control values corresponding to the environmental parameters are larger than the comprehensive comparison difference value of the environmental parameters, the regulation and control are stopped, and.
The invention has the beneficial effects that:
1. according to the invention, each temperature subregion corresponding to a plurality of step temperature intervals is divided for the refrigeration house storing the cold-chain logistics commodities through the refrigeration house temperature region division module, each environment parameter acquisition is carried out on each temperature subregion through the environment parameter acquisition module, simultaneously each acquired environment parameter is processed to obtain the comprehensive comparison difference value of each environment parameter corresponding to each step temperature interval, and then the environment parameter needing to be regulated and controlled corresponding to the step temperature interval needing to be regulated and controlled is regulated and controlled by combining the intelligent regulation and control terminal, so that the intelligent regulation and control of the cold-chain logistics commodity storage environment is realized, the regulated and controlled refrigeration house environment can meet the storage requirements of all cold-chain logistics commodities, and further the commodity deterioration speed is reduced.
2. According to the invention, the refrigeration space and the freezing space are divided into the refrigeration house for storing the cold-chain logistics commodities, the refrigeration space and the freezing space are respectively divided into the plurality of step temperature intervals, each cold-chain logistics commodity is stored in the corresponding step temperature interval according to different standard fresh-keeping temperatures corresponding to each cold-chain logistics commodity, meanwhile, each step temperature interval is divided into the plurality of temperature sub-areas, and the environment parameter acquisition terminals are respectively installed in each temperature sub-area, so that the problem that the data acquired by a single environment parameter acquisition terminal cannot reflect the environment condition of the whole interval is avoided, the data acquired by the plurality of environment parameter acquisition terminals are regulated, the regulation and control accuracy and reliability are improved, and the defect that the regulation and control accuracy of the existing regulation and control means for the cold-chain logistics commodity transportation and storage environment is not high is overcome.
3. According to the invention, the temperature, humidity, oxygen concentration, carbon dioxide concentration and illumination intensity of each divided environment subregion are collected, the obtained environment parameters are comprehensive in types, the environment parameters needing to be regulated and controlled can be regulated and controlled in a targeted manner, and the defect that the regulation and control environment parameters of the existing cold-chain logistics commodity transportation and storage environment regulation and control means are single is overcome.
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 block diagram of a system module of the present invention;
fig. 2 is a schematic diagram of the temperature sub-region division of the refrigeration space of the refrigeration house.
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. 1-2, an intelligent control system for cold-chain logistics commodity storage environment based on internet of things control comprises a refrigeration storage temperature area division module, an environmental parameter acquisition module, a parameter preprocessing module, an analysis server and an intelligent control terminal, the cold storage temperature region dividing module is used for dividing the cold storage space for storing the cold chain logistics commodities into a plurality of temperature sub-regions corresponding to the gradient temperature regions, the environment parameter acquisition module is used for acquiring the environment parameters of each temperature subarea corresponding to each divided cascade temperature interval, the parameter preprocessing module is used for processing the environment parameters of the temperature sub-areas corresponding to the acquired temperature intervals of the steps, the intelligent control terminal is used for carrying out targeted control on the gradient temperature interval needing environment control according to the processing result of each environment parameter.
The freezer temperature regional division module comprises a step temperature regional division unit and a temperature regional division unit, the step temperature regional division unit is used for classifying the freezer space for storing cold chain logistics commodities, is divided into a cold storage space and a freezing space, and divides the cold storage space and the freezing space into a plurality of step temperature regions according to a temperature gradient division mode, and the division method specifically comprises the following steps:
h1: the refrigerating temperature range t corresponding to the refrigerating spaceTibetan medicineUpper to tTibetan medicineDividing the refrigerating temperature range into a plurality of ladders according to the set temperature gradientThe stage temperature value, wherein the number of the divided step temperatures is recorded as n,
Δ t is expressed as a temperature gradient, wherein the divided temperature values of each step are tTibetan medicine1,tTibetan medicine2...tTibetan medicinei....tTibetan medicinen；
H2: dividing the refrigerating space into a plurality of step temperature intervals with the same volume according to the number of the divided step temperatures, wherein the refrigerating temperature in each step temperature interval corresponds to one step temperature respectively, and the step temperature is also a standard storage temperature value corresponding to the step temperature interval storage cold-chain logistics commodity;
h3: the freezing space is divided into a plurality of temperature sections in steps according to the sequence H1-H2.
The temperature gradient set in this embodiment is appropriate so that the number of divided step temperatures is an integer.
Each step temperature interval divided by the refrigerating space is marked as s according to the step temperature corresponding to the step temperature interval from low to highTibetan medicine1,sTibetan medicine2...sTibetan medicinei....sTibetan medicinen, marking each step temperature interval divided by the freezing space as s according to the step temperature corresponding to the step temperature interval from low to highJelly made from plant1,sJelly made from plant2...sJelly made from plantj....sJelly made from plantAnd m, wherein flow valves are respectively installed in each step temperature interval corresponding to the refrigerating and freezing space, and a regulation and control channel is provided for regulating and controlling the environmental parameters of each step temperature interval in the future.
The temperature area dividing unit is used for dividing each step temperature area corresponding to the divided refrigerating space and freezing space into a plurality of temperature sub-areas according to the vertical distance equal dividing mode of the area, and the dividing method specifically comprises the following steps:
w1: counting the interval vertical distance of each step temperature interval corresponding to the divided refrigerating space;
w2: dividing the interval vertical distance of each step temperature interval into k sections equally, wherein each section of vertical distance and the length and width of the interval form a temperature sub-area, and thus, each step temperature interval is divided into a plurality of temperature sub-areas;
w3: each step temperature zone of the freezing space is divided into a plurality of temperature sub-zones for the freezing space according to the sequence of W1-W2.
The divided temperature subregions are numbered according to a preset sequence and are marked as 1,2.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition terminals, the environment parameter acquisition terminals are installed in temperature sub-regions corresponding to step temperature regions of divided refrigerating spaces and freezing spaces and used for acquiring environment parameters of the temperature sub-regions, the environment parameter acquisition terminals comprise temperature sensors, humidity sensors, gas sensors and illumination sensors, the temperature sensors are used for acquiring the temperatures of the temperature sub-regions, the humidity sensors are used for acquiring the humidity of the temperature sub-regions, the gas sensors are used for acquiring the oxygen concentration and the carbon dioxide concentration of the temperature sub-regions, the illumination sensors are used for acquiring the illumination intensity of the temperature sub-regions, and the obtained environment parameters of the temperature sub-regions corresponding to the step temperature regions of the refrigerating spaces form a parameter set of the step temperature region of the refrigerating spaces
Denoted as refrigerating space sTibetan medicineThe value corresponding to the w-th environmental parameter of the h-th temperature sub-region corresponding to the i step temperature intervals, and the obtained environmental parameters of the temperature sub-regions corresponding to the step temperature intervals of the freezing space form a parameter set of the step temperature interval temperature region of the freezing space
Denoted as the refrigerated space thJelly made from plantW-th environmental parameter pair of h-th temperature subarea corresponding to j step temperature intervalsThe environment parameter acquisition module sends the refrigerating space step temperature interval temperature area parameter set and the freezing space step temperature interval temperature area parameter set to the parameter preprocessing module.
In the embodiment, the cold storage space and the freezing space are divided into the cold storage space and the freezing space for storing the cold-chain logistics commodities, and the cold storage space and the freezing space are respectively divided into a plurality of temperature ranges with different steps, and storing each cold-chain logistics commodity in a corresponding gradient temperature interval according to different standard fresh-keeping temperatures corresponding to each cold-chain logistics commodity, meanwhile, each step temperature interval is divided into a plurality of temperature subregions, and the environment parameter acquisition terminals are respectively installed in the temperature subregions, so that the problem that the data acquired by a single environment parameter acquisition terminal cannot reflect the environment condition of the whole interval is solved, the data acquired by a plurality of environment parameter acquisition terminals are regulated, the regulation accuracy and reliability are improved, the defect that the regulation accuracy of the conventional cold-chain logistics commodity transportation and storage environment regulation and control means is not high is overcome, and the regulated and controlled cold storage environment can meet the storage requirements of all cold-chain logistics commodities.
Meanwhile, the temperature, the humidity, the oxygen concentration, the carbon dioxide concentration and the illumination intensity of each divided environment subregion are collected, the obtained environment parameters are comprehensive in type, the environment parameters needing to be regulated and controlled can be regulated and controlled, and the defect that the regulation and control environment parameters of the existing cold-chain logistics commodity transportation and storage environment regulation and control means are single is overcome.
The parameter database stores various storage environment parameter standard values corresponding to the cold-chain logistics commodities stored in the step temperature intervals corresponding to the refrigerating and freezing spaces, specifically a temperature standard value, a humidity standard value, an oxygen concentration standard value, a carbon dioxide concentration standard value and an illumination intensity standard value.
The parameter preprocessing module is connected with the environment parameter acquisition module, receives a refrigerating space step temperature interval temperature area parameter set and a freezing space step temperature interval temperature area parameter set sent by the environment parameter acquisition module, and processes the received environment parameters according to the following steps:
s1: sequentially extracting each environmental parameter corresponding to each temperature subregion corresponding to each step temperature interval from a parameter set of the step temperature interval temperature regions of the refrigerating space according to the marking sequence of each step temperature interval;
s2: comparing each extracted environment parameter of each temperature subregion corresponding to each step temperature interval with each stored environment parameter standard value corresponding to the cold-chain logistics commodity stored in the step temperature interval in the parameter database respectively to obtain each environment parameter comparison difference value corresponding to each temperature subregion of each step temperature interval, and forming a step temperature interval temperature subregion environment parameter comparison set;
s3: screening the environmental parameter comparison difference value corresponding to each temperature sub-region of the single environmental parameter of the single cascade temperature region in the cascade temperature region temperature sub-region environmental parameter comparison set each time, carrying out mean value processing on the different screened environmental parameter comparison difference values corresponding to the single environmental parameter to obtain the environmental parameter comprehensive comparison difference value of the cascade temperature region, then carrying out the comparison mean value processing on the next environmental parameter until the comparison mean value processing of all the environmental parameters of the cascade temperature region is finished to obtain the environmental parameter comprehensive comparison difference value of the cascade temperature region, carrying out the environmental parameter comprehensive comparison difference value calculation of the next cascade temperature region in such a processing mode until the environmental parameter comprehensive comparison difference values of all the cascade temperature regions of the refrigerating space are all calculated, thereby obtaining the environmental parameter comprehensive comparison difference value corresponding to each cascade temperature region of the refrigerating space, and sending to an analysis server;
s4: and processing the environment parameters corresponding to the temperature sub-regions of the step temperature regions in the freezing space step temperature region parameter set according to the sequence of S1-S3 to obtain the comprehensive comparison difference value of the environment parameters corresponding to the step temperature regions of the freezing space, and sending the comprehensive comparison difference value to the analysis server.
The analysis server is connected with the parameter preprocessing module, receives the comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the refrigerated space and the comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the frozen space sent by the parameter preprocessing module, analyzes the received comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the refrigerated space/the frozen space, if the comprehensive comparison difference value of a certain environmental parameter of a certain cascade temperature interval is more than 0, the value corresponding to the environmental parameter is over high, the value corresponding to the environmental parameter needs to be reduced, if the comprehensive comparison difference value of a certain environmental parameter is equal to 0, the environmental parameter does not need to be regulated, if the comprehensive comparison difference value of a certain environmental parameter is less than 0, the value corresponding to the environmental parameter is over low, and the value corresponding to the environmental parameter needs to be improved, the analysis server counts the number of the cascade temperature interval needing to be subjected to the environmental parameter regulation and control and the type of the environmental parameter needing to be regulated and controlled in the refrigerating/freezing space, and sends the counted number of the cascade temperature interval needing to be subjected to the environmental parameter regulation and control, the type of the environmental parameter needing to be regulated and the comprehensive comparison difference value of the environmental parameter to the intelligent regulation and control terminal.
The intelligent control terminal is connected with the analysis server, receives the cascade temperature interval number and the environment parameter type needing to be controlled in the refrigerated storage/freezing space sent by the analysis server and the comprehensive comparison difference value of the environment parameters to control the cascade temperature interval and the environment parameters in a graded manner, controls the flow valve of the cascade temperature interval to be opened when the intelligent control terminal receives the cascade temperature interval number and the environment parameter type needing to be controlled in the refrigerated storage/freezing space sent by the analysis server, connects the unit equipment corresponding to the environment parameter type with the flow valve of the cascade temperature interval, controls the value corresponding to the environment parameter to the cascade temperature interval according to the comprehensive comparison difference value of the environment parameters, and if the environment parameter needing to be controlled is the temperature, and if the comprehensive comparison difference value of the temperature is greater than 0, performing refrigeration operation on the cascade temperature interval through a refrigeration unit, if the environmental parameter to be regulated is humidity and the comprehensive comparison difference value of the temperature is less than 0, performing humidification operation on the cascade temperature interval through a humidifier, if the environmental parameter to be regulated is oxygen concentration and the comprehensive comparison difference value of the oxygen concentration is greater than 0, performing oxygen inhalation operation on the cascade temperature interval through an oxygen absorbent, if the environmental parameter to be regulated is illumination intensity and the comprehensive comparison difference value of the illumination intensity is greater than 0, performing shading operation on the cascade temperature interval, counting a regulation value corresponding to the environmental parameter in real time, and when the regulation value corresponding to the environmental parameter is greater than the comprehensive comparison difference value of the environmental parameter, stopping regulation and closing a flow valve.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (6)
1. The utility model provides a cold chain commodity storage environment intelligent control system based on thing networked control which characterized in that: the system comprises a refrigeration house temperature area dividing module, an environment parameter collecting module, a parameter preprocessing module, an analysis server and an intelligent control terminal, wherein the refrigeration house temperature area dividing module is used for dividing a refrigeration house space for storing cold-chain logistics commodities into a plurality of temperature sub-areas corresponding to step temperature areas, the environment parameter collecting module is used for collecting environment parameters of the temperature sub-areas corresponding to the divided step temperature areas, the parameter preprocessing module is used for processing the environment parameters of the temperature sub-areas corresponding to the collected step temperature areas, and the intelligent control terminal is used for performing targeted control on the step temperature areas needing environment control according to the processing results of the environment parameters;
the refrigeration house temperature region division module comprises a step temperature region division unit and a temperature region division unit, wherein the step temperature region division unit is used for classifying the refrigeration house space for storing cold chain logistics commodities, is divided into a refrigeration space and a freezing space, and is used for respectively carrying out temperature region division on the refrigeration house space and the freezing spaceThe gradient division mode is divided into a plurality of step temperature intervals, and each step temperature interval divided by the refrigerating space is marked as s according to the step temperature corresponding to the step temperature interval from low to highTibetan medicine1,sTibetan medicine2...sTibetan medicinei....sTibetan medicinen, marking each step temperature interval divided by the freezing space as s according to the step temperature corresponding to the step temperature interval from low to highJelly made from plant1,sJelly made from plant2...sJelly made from plantj....sJelly made from plantm；
The temperature area dividing unit is used for dividing each step temperature area corresponding to the divided refrigerating space and freezing space into a plurality of temperature sub-areas respectively according to the vertical distance equal dividing mode of the area, and each temperature sub-area is numbered according to a preset sequence and is sequentially marked as 1,2.
The environment parameter acquisition module comprises a plurality of environment parameter acquisition terminals, is arranged in each temperature subarea corresponding to each step temperature interval of the divided refrigerating space and freezing space, and is used for acquiring the environment parameters of each temperature subarea, and the obtained environment parameters of each temperature subarea corresponding to each step temperature interval of the refrigerating space form a temperature area parameter set of the step temperature interval of the refrigerating space
Denoted as refrigerating space sTibetan medicineThe value corresponding to the w-th environmental parameter of the h-th temperature sub-region corresponding to the i step temperature intervals, and the obtained environmental parameters of the temperature sub-regions corresponding to the step temperature intervals of the freezing space form a parameter set of the step temperature interval temperature region of the freezing space
Denoted as the refrigerated space thJelly made from plantj laddersThe method comprises the steps that numerical values corresponding to w-th environmental parameters of an h-th temperature sub-area corresponding to a level temperature interval are represented as the environmental parameters, w is pt, pe, po, pc and ps, and pt, pe, po, pc and ps are represented as temperature, humidity, oxygen concentration, carbon dioxide concentration and illumination intensity respectively;
the parameter preprocessing module is connected with the environment parameter acquisition module, receives a refrigerating space step temperature interval temperature area parameter set and a freezing space step temperature interval temperature area parameter set sent by the environment parameter acquisition module, and processes the received environment parameters according to the following steps:
s1: sequentially extracting each environmental parameter corresponding to each temperature subregion corresponding to each step temperature interval from a parameter set of the step temperature interval temperature regions of the refrigerating space according to the marking sequence of each step temperature interval;
s2: comparing each extracted environment parameter of each temperature subregion corresponding to each step temperature interval with each stored environment parameter standard value corresponding to the cold-chain logistics commodity stored in the step temperature interval in the parameter database respectively to obtain each environment parameter comparison difference value corresponding to each temperature subregion of each step temperature interval, and forming a step temperature interval temperature subregion environment parameter comparison set;
s3: screening the environmental parameter comparison difference values corresponding to the single environmental parameters of the single cascade temperature interval in each temperature subarea from the cascade temperature interval temperature subarea environmental parameter comparison set, carrying out mean value processing on the different screened contrast difference values corresponding to the environmental parameters to obtain the environmental parameter comprehensive comparison difference values of the cascade temperature interval, then carrying out the contrast mean value processing on the next environmental parameters until all the environmental parameter comparison mean values of the cascade temperature interval are processed, obtaining the environmental parameter comprehensive comparison difference values of the cascade temperature interval, carrying out the environmental parameter comprehensive comparison difference value calculation of the next cascade temperature interval in such a processing mode, obtaining the environmental parameter comprehensive comparison difference values corresponding to the cascade temperature intervals of the refrigerated space, and sending the environmental parameter comprehensive comparison difference values to an analysis server;
s4: processing each environment parameter corresponding to each temperature subregion of each step temperature interval in the freezing space step temperature interval temperature region parameter set according to the sequence of S1-S3 to obtain each environment parameter comprehensive comparison difference value corresponding to each step temperature interval of the freezing space, and sending the difference value to an analysis server;
the analysis server is connected with the parameter preprocessing module, receives the comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the refrigerated space and the comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the frozen space sent by the parameter preprocessing module, analyzes the received comprehensive comparison difference value of each environmental parameter corresponding to each cascade temperature interval of the refrigerated space/the frozen space, if the comprehensive comparison difference value of a certain environmental parameter of a certain cascade temperature interval is more than 0, the value corresponding to the environmental parameter is over high, the value corresponding to the environmental parameter needs to be reduced, if the comprehensive comparison difference value of a certain environmental parameter is equal to 0, the environmental parameter does not need to be regulated, if the comprehensive comparison difference value of a certain environmental parameter is less than 0, the value corresponding to the environmental parameter is over low, and the value corresponding to the environmental parameter needs to be improved, the analysis server counts the number of the cascade temperature interval needing to be subjected to environmental parameter regulation and control and the type of the environmental parameter needing to be regulated and controlled in the refrigerating/freezing space, and sends the counted number of the cascade temperature interval needing to be subjected to environmental parameter regulation and control, the type of the environmental parameter needing to be regulated and control and the comprehensive comparison difference value of the environmental parameter to the intelligent regulation and control terminal;
the intelligent control terminal is connected with the analysis server and receives the cascade temperature interval number and the environment parameter type needing to be controlled in the refrigerated space or the frozen space sent by the analysis server and the comprehensive comparison difference value of the environment parameters to control the cascade temperature interval and the environment parameters.
2. The intelligent regulation and control system for the storage environment of the cold-chain logistics commodities based on the control of the Internet of things according to claim 1 is characterized in that: the parameter database stores various storage environment parameter standard values corresponding to the cold-chain logistics commodities stored in the step temperature intervals corresponding to the refrigerating and freezing spaces, specifically a temperature standard value, a humidity standard value, an oxygen concentration standard value, a carbon dioxide concentration standard value and an illumination intensity standard value.
3. The intelligent regulation and control system for the storage environment of the cold-chain logistics commodities based on the control of the Internet of things according to claim 1 is characterized in that: the step temperature interval dividing unit divides the refrigerating space and the freezing space into a plurality of step temperature intervals respectively according to a temperature gradient dividing mode, and the dividing method specifically comprises the following steps:
h1: the refrigerating temperature range t corresponding to the refrigerating spaceTibetan medicineUpper to tTibetan medicineThen, dividing the refrigerating temperature range into a plurality of step temperatures according to the set temperature gradient, wherein the number of the divided step temperatures is recorded as n,
Δ t is expressed as a temperature gradient, where the divided steps have respective temperatures tTibetan medicine1,tTibetan medicine2...tTibetan medicinei....tTibetan medicinen；
H2: dividing the refrigerating space into a plurality of step temperature intervals with the same volume according to the number of the divided step temperatures, wherein the refrigerating temperature in each step temperature interval corresponds to one step temperature respectively, and the step temperature is also a standard storage temperature value corresponding to the step temperature interval storage cold-chain logistics commodity;
h3: the freezing space is divided into a plurality of temperature sections in steps according to the sequence H1-H2.
4. The intelligent regulation and control system for the storage environment of the cold-chain logistics commodities based on the control of the Internet of things according to claim 1 is characterized in that: the temperature sub-region dividing unit divides each step temperature region corresponding to the divided refrigerating space and freezing space into a plurality of temperature sub-regions according to the region vertical distance equal dividing mode, and the dividing method specifically comprises the following steps:
w1: counting the interval vertical distance of each step temperature interval corresponding to the divided refrigerating space;
w2: dividing the vertical distance of the interval of each step temperature interval into k sections equally, wherein the vertical distance of each section and the length and width of the interval form a temperature sub-area, and thus, each step temperature interval is divided into a plurality of temperature sub-areas;
w3: each step temperature zone of the freezing space is divided into a plurality of temperature sub-zones for the freezing space according to the sequence of W1-W2.
5. The intelligent regulation and control system for the storage environment of the cold-chain logistics commodities based on the control of the Internet of things according to claim 1 is characterized in that: the environment parameter acquisition terminal includes temperature sensor, humidity transducer, gas sensor and light sensor, temperature sensor is used for gathering the temperature of each temperature subregion, humidity transducer is used for gathering the humidity of each temperature subregion, gas sensor is used for gathering the oxygen concentration and the carbon dioxide concentration of each temperature subregion, light sensor is used for gathering the illumination intensity of each temperature subregion.
6. The live E-commerce platform commodity content intelligent pushing management system based on big data as claimed in claim 1, wherein: the method for regulating and controlling the environmental parameters by the intelligent regulation and control terminal is characterized in that flow valves are respectively installed in each step temperature interval corresponding to the refrigerating and freezing spaces, the intelligent regulation and control terminal controls the flow valves of the step temperature intervals to be opened when receiving step temperature interval numbers and environmental parameters needing to be regulated and controlled in the refrigerating/freezing spaces sent by the analysis server, connects the environmental parameter unit equipment with the flow valves of the step temperature intervals, regulates and controls the numerical values corresponding to the environmental parameters in the step temperature intervals, counts the regulated and controlled values corresponding to the environmental parameters in real time, and stops regulating and controlling and closes the flow valves when the regulated and controlled values corresponding to the environmental parameters are larger than the comprehensive comparison difference value of the environmental parameters.
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