CN117350582A - Agricultural product supply chain comprehensive service system based on 5G network - Google Patents
Agricultural product supply chain comprehensive service system based on 5G network Download PDFInfo
- Publication number
- CN117350582A CN117350582A CN202311290141.7A CN202311290141A CN117350582A CN 117350582 A CN117350582 A CN 117350582A CN 202311290141 A CN202311290141 A CN 202311290141A CN 117350582 A CN117350582 A CN 117350582A
- Authority
- CN
- China
- Prior art keywords
- agricultural product
- target agricultural
- damage
- link corresponding
- transportation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 claims abstract description 26
- 238000001514 detection method Methods 0.000 claims description 164
- 238000011156 evaluation Methods 0.000 claims description 51
- 230000007613 environmental effect Effects 0.000 claims description 48
- 238000004458 analytical method Methods 0.000 claims description 38
- 230000002159 abnormal effect Effects 0.000 claims description 29
- 238000012545 processing Methods 0.000 claims description 26
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 13
- 230000005856 abnormality Effects 0.000 claims description 11
- 238000010606 normalization Methods 0.000 claims description 9
- 238000005286 illumination Methods 0.000 claims description 8
- 230000001960 triggered effect Effects 0.000 claims description 5
- 101100518501 Mus musculus Spp1 gene Proteins 0.000 claims description 3
- 230000000052 comparative effect Effects 0.000 description 6
- 230000000694 effects Effects 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 4
- 238000003860 storage Methods 0.000 description 4
- 238000004321 preservation Methods 0.000 description 2
- 230000002265 prevention Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06395—Quality analysis or management
-
- 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
- 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
- G06Q10/083—Shipping
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Manufacturing & Machinery (AREA)
- Geometry (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of agricultural product supply chains of 5G networks, in particular to an agricultural product supply chain comprehensive service system based on a 5G network, which is used for solving the problems that the quality supervision of the existing agricultural product supply chain is not in place and the logistics efficiency is low, and timely and accurate information feedback cannot be provided for improving the quality of agricultural products and reducing risks in the logistics process.
Description
Technical Field
The invention relates to the technical field of agricultural product supply chains of 5G networks, in particular to an agricultural product supply chain comprehensive service system based on a 5G network.
Background
Agricultural product supply chains generally comprise links such as production, processing, transportation and storage, however, the problems of inadequate quality supervision and low logistics efficiency are common in the existing supply chain services;
the quality supervision is not in place, so that quality problems easily occur in links such as production, processing, transportation and storage of agricultural products, the quality and reputation of products are affected, meanwhile, due to low logistics efficiency, damage, deterioration and delay problems easily occur in the logistics process of the agricultural products, logistics cost is increased, the quality of the agricultural products is difficult to improve, risks exist in the logistics process, and accordingly the circulation speed and quality of the agricultural products are affected;
meanwhile, due to the opacity of the information, consumers can not obtain real-time information feedback of agricultural products, so that each link in the supply chain can not know the quality of the products and the physical distribution state in time, and can not make an accurate decision, the efficiency and the competitiveness of the supply chain are affected, the information sharing and the coordination of each link in the supply chain are difficult to realize, and the cost and the risk of the supply chain are increased;
in order to solve the above-mentioned defect, a technical scheme is provided.
Disclosure of Invention
The invention aims to solve the problems that the quality supervision of the existing agricultural product supply chain is not in place, and timely and accurate information feedback cannot be provided for improving the quality of agricultural products and reducing risks in the logistics process, and provides an agricultural product supply chain comprehensive service system based on a 5G network.
The aim of the invention can be achieved by the following technical scheme:
the utility model provides an agricultural product supply chain integrated service system based on 5G network, includes data acquisition module, server, quality analysis module, quality anomaly analysis module, commodity circulation anomaly feedback module and information display terminal;
the data acquisition module is used for acquiring quality state information, environment state information, transportation state information and road condition state information and respectively transmitting the quality state information, the environment state information, the transportation state information and the road condition state information to the corresponding quality analysis module, the quality abnormality analysis module, the logistics analysis module and the logistics abnormality feedback module through the server;
the quality analysis module is used for monitoring quality state information of each link corresponding to the target agricultural product, analyzing and processing the quality state of each link corresponding to the target agricultural product, obtaining a quality abnormal signal according to the quality state information, and sending the generated quality abnormal signal to the quality abnormal analysis module;
the quality anomaly analysis module is used for receiving quality anomaly signals, monitoring environment state information of the current detection time period of each link corresponding to the target agricultural product to obtain an annular assessment value, a damage duration and a safety duration, analyzing and processing the environment state of the current detection time period of each link corresponding to the target agricultural product to obtain environment state type signals, and sending the generated environment state type signals to the information display terminal, wherein the environment state type signals comprise environment severe influence signals and environment mild influence signals;
The logistics analysis module is used for monitoring the transportation state information of each link corresponding to the target agricultural product, analyzing and processing the transportation state of each link corresponding to the target agricultural product, obtaining a transportation state abnormal signal according to the transportation state information, and sending the generated transportation state abnormal signal to the logistics abnormality analysis module;
the logistics abnormal feedback module is used for receiving abnormal traffic state signals, monitoring road condition state information of the current detection time period of each link corresponding to the target agricultural product to obtain congestion duration, weather influence values and transportation equipment influence values, analyzing and processing the road condition state of the current detection time period of each link corresponding to the target agricultural product to obtain road condition state type signals, and sending the generated road condition state type signals to the information display terminal, wherein the road condition state type signals comprise road condition mild influence signals, road condition moderate influence signals and road condition severe influence signals;
the information display terminal is used for receiving the environment state type signal and the road condition state type signal, triggering the corresponding instruction, and sending the triggered corresponding instruction to the information display terminal for display description.
Further, the quality states of all links corresponding to the target agricultural products are analyzed and processed, and the specific operation steps are as follows:
shooting and acquiring the target agricultural product through machine vision equipment deployed in each link of the agricultural product, thereby obtaining quality images of each link corresponding to the target agricultural product;
extracting the damage depth, damage length and damage area in the quality state information of each detection time point of each link corresponding to the target agricultural product from the quality image of each link corresponding to the target agricultural product, and marking the damage depth, the damage length and the damage area as R respectively ij 、S ij And D ij I is expressed as the number of each detection time point, i=1, 2,3 … … n1, n1 is expressed as a positive integer, j is expressed as each link corresponding to the target agricultural product, and j=1, 2,3,4, while the damage depth, damage length, and damage area of the first detection time point corresponding to the target agricultural product are extracted as the nominal damage depth, nominal damage length, and nominal damage area, and marked as R, respectively 1j 、S 1j And D 1j The method comprises the steps of carrying out a first treatment on the surface of the According to the formula:obtaining a damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j Wherein e is represented as a constant, θ1 ij Damage degree evaluation coefficient, θ2, expressed as damage degree evaluation coefficient of each link corresponding to the target agricultural product corresponding to the i-th detection time point ij Corresponding links expressed as corresponding to the target agricultural productsThe damage change coefficient at the ith detection time point, R i-1j 、S i-1j And D i-1j The damage depth, the damage length and the damage area of each link corresponding to the target agricultural product are respectively represented as the i-1 th detection time point, eta 1, eta 2 and eta 3 are respectively represented as the set weight coefficients of the damage depth degree, the damage length degree and the damage area degree, eta 4, eta 5 and eta 6 are respectively represented as the set scale coefficients of the damage depth change, the damage length change and the damage area change, and eta 7 and eta 8 are respectively represented as the set evaluation factors of the damage degree coefficient and the damage change coefficient;
the damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j And a set damage status threshold ≡ j Comparing, when the damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j Greater than a set damage status threshold ≡ j And generating a quality abnormal signal, otherwise, generating a quality normal signal.
Further, the specific operation steps for monitoring the environmental status information are as follows:
uniformly distributing detection points in each link corresponding to the target agricultural product, detecting the temperature, the humidity, the air pressure and the illumination of each detection time point in each link corresponding to the target agricultural product through an environment detector to obtain the temperature, the humidity, the air pressure and the illumination of each detection time point in each link corresponding to the target agricultural product, and respectively carrying out average value calculation on the temperature, the humidity, the real pressure and the real light value of each detection time point in each link corresponding to the target agricultural product to obtain a real temperature value, a real humidity value, a real pressure value and a real light value of each detection time point in each link corresponding to the target agricultural product; extracting the real temperature value, the real humidity value, the real pressure value and the real light value of each detection time point of each link corresponding to the target agricultural product, and carrying out normalization calculation processing to obtain an annular space evaluation value hsz j ；
Obtaining the damage quantity of each detection point of each link corresponding to the target agricultural product, comparing the damage quantity with the damage quantity threshold value of each detection point of each link corresponding to the target agricultural product, and if the damage quantity of a certain detection point of a certain link is greater than the damage quantity threshold value, marking the detection point of the link as a damage point, thereby obtaining the target agricultural productIntegrating adjacent damage time points in the current detection time periods of the links corresponding to the target agricultural products to obtain damage time periods, and counting the damage time rhc of the current detection time periods of the links corresponding to the target agricultural products j ；
Acquiring the freshness of each detection point of each link corresponding to the target agricultural product, comparing the freshness with the freshness threshold value of each detection point of each link corresponding to the target agricultural product, if the freshness of a certain detection point of a certain link is smaller than the freshness threshold value, marking the detection point of the certain link as a freshness preservation point, thereby obtaining each freshness time point of each current detection period of each link corresponding to the target agricultural product, integrating each adjacent freshness time point in each current detection period of each link corresponding to the target agricultural product, obtaining each freshness time period, and counting the duration bxc of the security time of each current detection period of each link corresponding to the target agricultural product j 。
Further, the environmental state of the current detection time period of each link corresponding to the target agricultural product is analyzed and processed, and the specific operation steps are as follows:
extracting the annular evaluation value, the damage duration and the numerical value of the insurance duration of the current detection time period of each link corresponding to the target agricultural product, carrying out normalization processing, and according to the formula:obtaining an environmental impact evaluation coefficient HJY of the current detection time period of each link corresponding to the target agricultural product j Wherein u1, u2 and u3 respectively represent the annulus assessment value, the damage duration and the weight coefficient of the safety duration, and u1 is more than u2 and more than u3;
setting a comparison reference interval of environmental impact evaluation coefficients of each link current detection time period corresponding to the target agricultural product as CZY j The environmental impact assessment coefficient HJY j And a reference interval CZY j In contrast, when the environmental impact assessment coefficient HJY j In the comparative reference interval CZY j When the environmental impact is within the predetermined range, an environmental normal impact signal is generated, and when the environmental impact evaluation coefficient HJY j Greater than the comparative reference interval CZY j Generates an environmental severe influence signal when the maximum value of (1) is equal to or greater than the maximum value of (1), and generates an environmental severe influence signal when the environmental influence evaluation coefficient HJY j Less than the comparative reference interval CZY j At a minimum of (2) then an ambient light impact signal is generated.
Further, the transportation state of each link corresponding to the target agricultural product is analyzed and processed, and the specific operation steps are as follows:
the method comprises the steps of obtaining the transportation time of each detection point of each link corresponding to a target agricultural product, comparing the transportation time with a preset transportation time threshold value of each detection point of each link corresponding to the target agricultural product, marking the detection point of a certain link as a transportation delay starting point if the transportation time of the detection point of the certain link is greater than the preset transportation time threshold value, and integrating all marked transportation delay starting points, so that the transportation delay duration of each link corresponding to the target agricultural product is obtained;
acquiring specific positions in the transportation process of each link corresponding to the target agricultural product in real time through a GPS, wherein the specific positions comprise the residual distance from the destination and the driving route, and marking the residual distance and the driving route as residual distance values and driving route values;
acquiring transport delay time, residual journey value and road value of each detection point of each link corresponding to the target agricultural product, and marking as F j 、G j And H j The transport delay time length, the residual distance value and the road value of each detection point of each link corresponding to the target agricultural product are matched with the allowable transport delay time length F of each detection point of each link corresponding to the target agricultural product Allow for Allowable remaining range value G Allow for And allowable way value H Allow for Comparing, according to the formula:obtaining a transportation state evaluation coefficient YSZ of each link corresponding to the target agricultural product in the current detection period j Wherein v denotes a set of detection time points during transportation, and v=1, 2,3 … … n2, n2 denotes a positive integer, δ1, δ2 and δ3 denote weight coefficients of the set transportation delay time period degree, the remaining range value degree and the road value degree, respectively,and δ1 > δ2 > δ3;
setting a threshold value of a transportation state evaluation coefficient of each link corresponding to the target agricultural product in the current detection period as YSY j Assessment of the transport State evaluation coefficient YSZ j And transportation status assessment threshold YSY j For comparison, the coefficient YSZ is evaluated when the transportation state is j Less than transportation status assessment threshold YSY j And generating a transport state abnormal signal.
Further, the specific operation steps for monitoring the road condition state information are as follows:
acquiring the estimated congestion time length in the road condition state information of each link in the current detection time period corresponding to the target agricultural product and calibrating the estimated congestion time length as the congestion time length;
acquiring weather conditions in road condition state information of current detection time periods of all links corresponding to target agricultural products, wherein the weather conditions comprise a rainy day, a medium rainy day, a small rainy day, a strong wind day, a snowy day, a sunny day and a cloudy day, wherein the rainy day, the medium rainy day, the small rainy day, the strong wind day, the snowy day, the sunny day and the cloudy day are respectively assigned as a1 score, b1 score, c1 score, d1 score, e1 score, f1 score and g1 score, and a1 > b1 > d1 > e1 > c1 > g1 > f1, and adding the assigned values to obtain weather influence values;
And obtaining the vehicle model, the load weight and the running speed in the transportation equipment in the current detection time period of each link corresponding to the target agricultural product, extracting the numerical values of the vehicle model, the load weight and the running speed, multiplying the numerical values by the corresponding weight coefficients respectively, and adding the numerical values to obtain the influence value of the transportation equipment.
Further, the road condition state of the current detection time period of each link corresponding to the target agricultural product is analyzed and processed, and the specific operation steps are as follows:
by obtaining the duration of congestion, the weather effect value and the transportation equipment effect value, and respectively marked as ydz j 、tqy j And ysd j And extracting the three values for normalization processing according to the formula: LKZ j ＝ydz j ×β1+tqy j ×β2+ysd j Obtaining the road condition influence of the current detection period of each link corresponding to the target agricultural product by using the X beta 3Evaluation coefficient LKZ j Wherein β1, β2 and β3 are respectively expressed as a congestion duration, a weather effect value and a scaling factor of a transportation equipment effect value, and β1 > β3 > β2;
setting three gradient comparison intervals of road condition influence evaluation coefficients of the current detection period of each link corresponding to the target agricultural product, wherein the three gradient comparison intervals are a first gradient road condition influence interval yxq1, a second gradient road condition influence interval yxq2 and a third gradient road condition influence interval yxq3 respectively, and yxq1=Φyxq2=2Φyxq3, wherein yxq1 < yxq2 < yxq3, Φ represents the multiple of the gradient, and the setting of specific numerical values of Φ is specifically set in specific examples by a person skilled in the art;
Generating a road condition mild influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset first gradient road condition influence interval yxq1, generating a road condition moderate influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset second gradient road condition influence interval yxq2, and generating a road condition severe influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset third gradient road condition influence interval yxq 3.
Further, corresponding measures analysis processing is carried out on the received environment state type signal and road condition state type signal, and the specific operation steps are as follows:
when the environmental severe influence signal is captured, triggering a first-level display instruction, and sending the first-level display instruction of a corresponding link of the target agricultural product to an information display terminal for display explanation, so that the supply chain can be adjusted in time, and a substitute can be selected;
when the environment light influence signal is captured, triggering a secondary display instruction, and sending the secondary display instruction of a corresponding link of the target agricultural product to an information display terminal for display explanation, so that the agricultural product can be processed in time, and detailed recording can be carried out, and the quality safety of the agricultural product can be ensured;
When the road condition mild influence signal is captured, triggering a grade A adjustment instruction, and sending the grade A adjustment instruction of a corresponding link of the target agricultural product to an information display terminal for display explanation, so that a route with proper weather conditions is selected for transportation, and the influence of the road condition and weather on the agricultural product is reduced;
when the road condition moderately influencing signal is captured, triggering a B-level adjusting instruction, and sending the B-level adjusting instruction of a link corresponding to the target agricultural product to an information display terminal for display explanation, so that the condition of transportation equipment can be checked in time, and the transportation equipment can be replaced to ensure the safety in the transportation process;
when the road condition severe influence signal is captured, the C-level adjustment instruction is triggered, and the C-level adjustment instruction of the corresponding link of the target agricultural product is sent to the information display terminal for display explanation, so that the congestion period can be avoided as much as possible, and a time period with good road condition is selected for transportation, so that the influence of transportation time on the agricultural product is reduced.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the quality state information of each link of the target agricultural product is monitored and analyzed in a data calculation and threshold comparison mode, so that a quality abnormal signal is generated, and a data basis is laid for analyzing factors causing quality abnormality of the agricultural product in the next step according to the generated quality abnormal signal, thereby realizing the prevention of the problem expansion from affecting the subsequent links; according to the received quality abnormal signal, the environmental state information of the corresponding links of the target agricultural product in the current detection time period is analyzed and processed, an environmental state type signal is generated according to the environmental state information, and the generated environmental state type signal is provided for each link participant in a supply chain, so that accurate decision making is helped to be made, measures are timely taken to improve the environmental conditions, and the quality and freshness of the agricultural product are improved;
The transportation state information of each link of the target agricultural product is monitored and analyzed, so that a transportation state abnormal signal is generated, and a data basis is laid for next analysis of factors causing abnormal transportation state of the agricultural product according to the generated transportation state abnormal signal, thereby realizing prevention and timely treatment of abnormal conditions, improving transparency and visual degree of a supply chain and providing data support for decision making; analyzing and processing road condition state information of each link corresponding to the target agricultural product in the current detection time period according to the received abnormal transportation state signals, generating road condition state type signals according to the road condition state information, and providing the generated road condition state type signals for each link participant in a supply chain, so that a transportation scheme is optimized by taking corresponding measures, the transportation efficiency is improved, and the transportation cost is reduced.
Drawings
For the convenience of those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
fig. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in FIG. 1, the agricultural product supply chain comprehensive service system based on the 5G network comprises a data acquisition module, a server, a quality analysis module, a quality abnormality analysis module, a logistics abnormality feedback module and an information display terminal;
the data acquisition module is used for acquiring quality state information, environment state information, transportation state information and road condition state information of a target agricultural product, wherein the quality state information is transmitted to the server through a 5G network, then is transmitted to the quality analysis module through the server, the environment state information is transmitted to the server through the 5G network, then is transmitted to the quality anomaly analysis module through the server, the transportation state information is transmitted to the server through the 5G network, then is transmitted to the logistics analysis module through the server, the road condition state information is transmitted to the server through the 5G network, and then is transmitted to the logistics anomaly feedback module through the server;
the quality state information includes a damage depth, a damage length and a damage area; the environmental state information comprises temperature, humidity, air pressure, illumination, damage quantity and freshness; the transportation state information comprises transportation time, remaining distance from the destination and a driving route; the road condition information comprises estimated congestion duration, weather conditions, vehicle types in transportation equipment, load weight and running speed;
The quality analysis module is used for monitoring the quality state information of each link corresponding to the target agricultural product, so that the quality state of each link corresponding to the target agricultural product is analyzed and processed, and the specific operation steps are as follows:
shooting and acquiring the target agricultural product through machine vision equipment deployed in each link of the agricultural product, thereby obtaining quality images of each link corresponding to the target agricultural product;
extracting the damage depth, damage length and damage area in the quality state information of each detection time point of each link corresponding to the target agricultural product from the quality image of each link corresponding to the target agricultural product, and marking the damage depth, the damage length and the damage area as R respectively ij 、S ij And D ij I is expressed as the number of each detection time point, i=1, 2,3 … … n1, n1 is expressed as a positive integer, j is expressed as each link corresponding to the target agricultural product, and j=1, 2,3,4, while the damage depth, damage length, and damage area of the first detection time point corresponding to the target agricultural product are extracted as the nominal damage depth, nominal damage length, and nominal damage area, and marked as R, respectively 1j 、S 1j And D 1j The method comprises the steps of carrying out a first treatment on the surface of the According to the formula:obtaining a damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j Wherein e is represented as a constant, θ1 ij Damage degree evaluation coefficient, θ2, expressed as damage degree evaluation coefficient of each link corresponding to the target agricultural product corresponding to the i-th detection time point ij The damage change coefficient corresponding to the ith detection time point of each link corresponding to the target agricultural product is represented as R i-1j 、S i-1j And D i-1j Respectively denoted as the purposeEach link corresponding to the standard agricultural product corresponds to the damage depth, the damage length and the damage area of the ith-1 detection time point, wherein eta 1, eta 2 and eta 3 are respectively expressed as weight coefficients of the set damage depth degree, the damage length degree and the damage area degree, eta 4, eta 5 and eta 6 are respectively expressed as scale coefficients of the set damage depth change, the damage length change and the damage area change, and eta 7 and eta 8 are respectively expressed as evaluation factors of the set damage degree coefficient and the damage change coefficient;
note that j represents links corresponding to the target agricultural product, where j=1, 2,3, and 4, each link corresponding to the target agricultural product includes production, processing, transportation, and storage, when j=1, represents a production link of the target agricultural product, when j=2, represents a processing link of the target product, when j=3, represents a transportation link of the target agricultural product, and when j=2, represents a storage link of the target product;
The damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j And a set damage status threshold ≡ j Comparing, when the damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j Greater than a set damage status threshold ≡ j When the quality is abnormal, generating a quality abnormal signal, otherwise, generating a quality normal signal;
transmitting the generated quality anomaly signal to a quality anomaly analysis module;
the quality anomaly analysis module is used for receiving the quality anomaly signal, so as to monitor the environmental state information of the current detection time period of each link corresponding to the target agricultural product, so as to analyze and process the environmental state of the current detection time period of each link corresponding to the target agricultural product, and the specific operation steps are as follows:
evenly arranging detection points in each link corresponding to the target agricultural product, detecting the temperature, the humidity, the air pressure and the illumination of each detection time point in each link corresponding to the target agricultural product through an environment detector to obtain the temperature, the humidity, the air pressure and the illumination of each detection time point in each link corresponding to the target agricultural product, and respectively calculating the average value of the temperature, the humidity, the air pressure and the illumination to obtain the corresponding target agricultural product Real temperature value, real humidity value, real pressure value and real light value of each detection time point of each link are respectively marked as sw ij 、ss ij 、sy ij And sg (g) ij ；
Extracting the real temperature value, the real humidity value, the real pressure value and the real light value of each detection time point of each link corresponding to the target agricultural product, carrying out normalization processing on the values according to the formula:obtaining an annular space evaluation value hsz of each link current detection time period corresponding to the target agricultural product j The method comprises the steps of carrying out a first treatment on the surface of the Wherein, γ1, γ2, γ3 and γ4 respectively represent the proportionality coefficients of the real temperature value, the real humidity value, the real pressure value and the real light value, and γ1 > γ2 > γ3 > γ4;
obtaining the damage quantity of each detection point of each link corresponding to the target agricultural product, comparing the damage quantity with the damage quantity threshold value of each detection point of each link corresponding to the target agricultural product, if the damage quantity of a certain detection point of a certain link is larger than the damage quantity threshold value, marking the detection point of the certain link as a damage point, thereby obtaining each damage time point of each link current detection period corresponding to the target agricultural product, integrating each adjacent damage time point in each link current detection period corresponding to the target agricultural product, obtaining each damage time period, and counting the damage time length of each link current detection time period corresponding to the target agricultural product as rhc j ；
Acquiring the freshness of each detection point of each link corresponding to the target agricultural product, comparing the freshness with the freshness threshold value of each detection point of each link corresponding to the target agricultural product, if the freshness of a certain detection point of a certain link is smaller than the freshness threshold value, marking the detection point of the certain link as a freshness preservation point, thereby obtaining each freshness time point of each current detection period of each link corresponding to the target agricultural product, integrating each adjacent freshness time point in each current detection period of each link corresponding to the target agricultural product, obtaining each freshness time period, and counting the duration bxc of the security time of each current detection period of each link corresponding to the target agricultural product j ；
Extracting current inspection of each link corresponding to target agricultural productCarrying out normalization processing on the annular assessment value, the damage duration and the numerical value of the safety duration of the measured time period according to the formula:obtaining an environmental impact evaluation coefficient HJY of the current detection time period of each link corresponding to the target agricultural product j Wherein u1, u2 and u3 respectively represent the weight coefficients of the annular space evaluation value, the damage duration and the insurance duration, and u1 is more than u2 and more than u3, and the weight coefficients are used for balancing the duty ratio weight of each item of data in formula calculation, so that the accuracy of a calculation result is promoted;
Setting a comparison reference interval of environmental impact evaluation coefficients of each link current detection time period corresponding to the target agricultural product as CZY j The environmental impact assessment coefficient HJY j And a reference interval CZY j In contrast, when the environmental impact assessment coefficient HJY j In the comparative reference interval CZY j When the environmental impact is within the predetermined range, an environmental normal impact signal is generated, and when the environmental impact evaluation coefficient HJY j Greater than the comparative reference interval CZY j Generates an environmental severe influence signal when the maximum value of (1) is equal to or greater than the maximum value of (1), and generates an environmental severe influence signal when the environmental influence evaluation coefficient HJY j Less than the comparative reference interval CZY j Generating an ambient light impact signal at a minimum of (1);
transmitting the generated environmental state type signal to an information display terminal, wherein the environmental state type signal comprises an environmental heavy influence signal and an environmental light influence signal;
the information display terminal is used for receiving the environment state type signal, so that corresponding measure analysis processing is carried out, and the specific operation steps are as follows:
when the environmental severe influence signal is captured, triggering a first-level display instruction, and sending the first-level display instruction of a corresponding link of the target agricultural product to an information display terminal for display description, so as to facilitate timely adjustment of a supply chain, select a substitute, for example, if the agricultural product of a certain link is seriously damaged, the agricultural product of other links or other areas can be called as a substitute, and the normal operation of the supply chain is ensured;
When the environment light influence signal is captured, a secondary display instruction is triggered, and the secondary display instruction of a corresponding link of the target agricultural product is sent to an information display terminal for display description, so that the agricultural product can be processed in time, detailed records are carried out, the quality safety of the agricultural product is ensured, for example, if the agricultural product of a certain link is slightly damaged, problem root cause tracing and analysis can be carried out through the data recorded in detail, and corresponding improvement measures are carried out, so that similar problems are prevented from happening again;
the logistics analysis module is used for monitoring the transportation state information of each link corresponding to the target agricultural product, so that the transportation state of each link corresponding to the target agricultural product is analyzed and processed, and the specific operation steps are as follows:
the method comprises the steps of obtaining the transportation time of each detection point of each link corresponding to a target agricultural product, comparing the transportation time with a preset transportation time threshold value of each detection point of each link corresponding to the target agricultural product, marking the detection point of a certain link as a transportation delay starting point if the transportation time of the detection point of the certain link is greater than the preset transportation time threshold value, and integrating all marked transportation delay starting points, so that the transportation delay duration of each link corresponding to the target agricultural product is obtained;
Acquiring specific positions in the transportation process of each link corresponding to the target agricultural product in real time through a GPS, wherein the specific positions comprise the residual distance from the destination and the driving route, and marking the residual distance and the driving route as residual distance values and driving route values;
acquiring transport delay time, residual journey value and road value of each detection point of each link corresponding to the target agricultural product, and marking as F j 、G j And H j The transport delay time length, the residual distance value and the road value of each detection point of each link corresponding to the target agricultural product are matched with the allowable transport delay time length F of each detection point of each link corresponding to the target agricultural product Allow for Allowable remaining range value G Allow for And allowable way value H Allow for Comparing, according to the formula:obtaining a transportation state evaluation coefficient YSZ of each link corresponding to the target agricultural product in the current detection period j Wherein v represents a set of detection time points in a transportation process, v=1, 2,3 … … n2, n2 are positive integers, δ1, δ2 and δ3 represent weight coefficients of a set transportation delay time length degree, a set remaining range value degree and a set line value degree respectively, δ1 > δ2 > δ3, and the weight coefficients are used for balancing the duty ratio weights of various data in formula calculation so as to promote the accuracy of calculation results;
The allowable transportation delay time length represents the delay time length allowed by each link corresponding to the target agricultural product to reach the destination in the transportation process, the allowable remaining range value represents the remaining range allowed by each link corresponding to the target agricultural product from the destination in the transportation process, and the allowable route value represents the optimal travelable route allowed by each link corresponding to the target agricultural product in the transportation process;
the method is characterized in that all the routes which can be driven in the transportation process of all links corresponding to the target agricultural products are sequentially assigned according to the length of the routes, wherein the score of the optimal routes which can be driven is highest;
setting a threshold value of a transportation state evaluation coefficient of each link corresponding to the target agricultural product in the current detection period as YSY j Assessment of the transport State evaluation coefficient YSZ j And transportation status assessment threshold YSY j For comparison, the coefficient YSZ is evaluated when the transportation state is j Greater than or equal to transportation state assessment threshold YSY j Generating a transportation state normal signal when the transportation state is estimated by the coefficient YSZ j Less than transportation status assessment threshold YSY j Generating a transport state abnormal signal;
the generated abnormal signal of the transportation state is sent to a logistics abnormal analysis module;
the logistics abnormality analysis module is used for receiving the abnormal signal of the transportation state, so as to monitor the road condition state information of the current detection time period of each link corresponding to the target agricultural product, so as to analyze and process the road condition state of the current detection time period of each link corresponding to the target agricultural product, and the specific operation steps are as follows:
Acquiring the estimated congestion time length in the road condition state information of each link in the current detection time period corresponding to the target agricultural product and calibrating the estimated congestion time length as the congestion time length;
acquiring weather conditions in road condition state information of current detection time periods of all links corresponding to target agricultural products, wherein the weather conditions comprise a rainy day, a medium rainy day, a small rainy day, a strong wind day, a snowy day, a sunny day and a cloudy day, wherein the rainy day, the medium rainy day, the small rainy day, the strong wind day, the snowy day, the sunny day and the cloudy day are respectively assigned as a1 score, b1 score, c1 score, d1 score, e1 score, f1 score and g1 score, and a1 > b1 > d1 > e1 > c1 > g1 > f1, and adding the assigned values to obtain weather influence values;
acquiring the model number, the load weight and the running speed of the vehicle in the transportation equipment in the current detection time period of each link corresponding to the target agricultural product, extracting the numerical values of the model number, the load weight and the running speed of the vehicle, multiplying the numerical values by the corresponding weight coefficients respectively, and adding the numerical values to obtain the influence value of the transportation equipment;
by obtaining the duration of congestion, the weather effect value and the transportation equipment effect value, and respectively marked as ydz j 、tqy j And ysd j And extracting the three values for normalization processing according to the formula: LKZ j ＝ydz j ×β1+tqy j ×β2+ysd j Obtaining a road condition influence evaluation coefficient LKZ of each link current detection period corresponding to the target agricultural product by using the x beta 3 j Wherein, beta 1, beta 2 and beta 3 are respectively expressed as the proportion coefficient of the congestion duration, the weather influence value and the transportation equipment influence value, and beta 1 is more than beta 3 and more than beta 2, and the proportion coefficient is used for balancing the duty ratio weight of each item of data in formula calculation, thereby promoting the accuracy of calculation results;
setting three gradient comparison intervals of road condition influence evaluation coefficients of the current detection period of each link corresponding to the target agricultural product, wherein the three gradient comparison intervals are a first gradient road condition influence interval yxq1, a second gradient road condition influence interval yxq2 and a third gradient road condition influence interval yxq3 respectively, and yxq1=Φyxq2=2Φyxq3, wherein yxq1 < yxq2 < yxq3, Φ represents the multiple of the gradient, and the setting of specific numerical values of Φ is specifically set in specific examples by a person skilled in the art;
generating a road condition mild influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset first gradient road condition influence interval yxq1, generating a road condition moderate influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset second gradient road condition influence interval yxq2, and generating a road condition severe influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset third gradient road condition influence interval yxq 3;
The generated road condition state type signals are sent to an information display terminal, wherein the road condition state type signals comprise road condition mild influence signals, road condition moderate influence signals and road condition severe influence signals;
the information display terminal is used for receiving the road condition state type signal, so that corresponding measures are analyzed and processed, and the specific operation steps are as follows:
when the road condition mild influence signal is captured, triggering a grade A adjustment instruction, and sending the grade A adjustment instruction of a corresponding link of the target agricultural product to an information display terminal for display explanation, so that a route with proper weather conditions is selected for transportation, and the influence of the road condition and weather on the agricultural product is reduced;
when the road condition moderately influencing signal is captured, triggering a B-level adjusting instruction, and sending the B-level adjusting instruction of a link corresponding to the target agricultural product to an information display terminal for display explanation, so that the condition of transportation equipment can be checked in time, and the transportation equipment can be replaced to ensure the safety in the transportation process;
when the road condition severe influence signal is captured, the C-level adjustment instruction is triggered, and the C-level adjustment instruction of the corresponding link of the target agricultural product is sent to the information display terminal for display explanation, so that the congestion period can be avoided as much as possible, and a time period with good road condition is selected for transportation, so that the influence of transportation time on the agricultural product is reduced.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (8)
1. The agricultural product supply chain comprehensive service system based on the 5G network is characterized by comprising a quality analysis module, a quality anomaly analysis module, a logistics analysis module and a logistics anomaly feedback module;
the quality analysis module is used for monitoring quality state information of each link corresponding to the target agricultural product, so that the quality state of each link corresponding to the target agricultural product is analyzed and processed, and the quality analysis module is specific to the quality state information of each link corresponding to the target agricultural product:
shooting and acquiring a target agricultural product, thereby obtaining quality images of links corresponding to the target agricultural product;
extracting the damage depth, damage length and damage area in the quality state information of each detection time point of each link corresponding to the target agricultural product from the quality image of each link corresponding to the target agricultural product, and marking the damage depth, the damage length and the damage area as R respectively ij 、S ij And D ij I is expressed as the number of each detection time point, i=1, 2,3 … … n1, j is expressed as each link corresponding to the target agricultural product, and j=1, 2,3,4, while the damage depth, damage length and damage area of the first detection time point corresponding to the target agricultural product are extracted as the nominal damage depth, nominal damage length and nominal damage area, and marked as R, respectively 1j 、S 1j And D 1j The method comprises the steps of carrying out a first treatment on the surface of the According to the formula:obtaining a damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j Wherein e is represented as a constant, θ1 ij Each ring corresponding to the target agricultural productThe damage degree evaluation coefficient of the section corresponding to the i-th detection time point, θ2 ij The damage change coefficient corresponding to the ith detection time point of each link corresponding to the target agricultural product is represented as R i-1j 、S i-1j And D i-1j The damage depth, the damage length and the damage area of each link corresponding to the target agricultural product are respectively represented as the i-1 th detection time point, eta 1, eta 2 and eta 3 are respectively represented as the set weight coefficients of the damage depth degree, the damage length degree and the damage area degree, eta 4, eta 5 and eta 6 are respectively represented as the set scale coefficients of the damage depth change, the damage length change and the damage area change, and eta 7 and eta 8 are respectively represented as the set evaluation factors of the damage degree coefficient and the damage change coefficient;
The damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j And a set damage status threshold ≡ j Comparing, when the damage state coefficient theta of each link corresponding to the target agricultural product in the current detection period j Greater than a set damage status threshold ≡ j Generating a quality abnormality signal when the quality is abnormal;
the quality anomaly analysis module is used for receiving quality anomaly signals, monitoring environment state information of the current detection time period of each link corresponding to the target agricultural product to obtain an annular assessment value, a damage duration and a safety duration, analyzing and processing the environment state of the current detection time period of each link corresponding to the target agricultural product to obtain environment state type signals, and sending the generated environment state type signals to the information display terminal; wherein the environmental status type signal comprises an environmental heavy impact signal and an environmental light impact signal;
the logistics analysis module is used for monitoring the transportation state information of each link corresponding to the target agricultural product, analyzing and processing the transportation state of each link corresponding to the target agricultural product, obtaining a transportation state abnormal signal according to the transportation state information, and sending the generated transportation state abnormal signal to the logistics abnormality analysis module;
The logistics abnormal feedback module is used for receiving the transportation state abnormal signal, monitoring road condition state information of the current detection time period of each link corresponding to the target agricultural product to obtain congestion duration, weather influence value and transportation equipment influence value, analyzing and processing the road condition state of the current detection time period of each link corresponding to the target agricultural product to obtain a road condition state type signal, and sending the generated road condition state type signal to the information display terminal, wherein the road condition state type signal comprises a road condition mild influence signal, a road condition moderate influence signal and a road condition severe influence signal.
2. The agricultural product supply chain comprehensive service system based on the 5G network according to claim 1, further comprising a data acquisition module, wherein the data acquisition module is used for acquiring quality state information, environment state information, transportation state information and road condition state information of a target agricultural product, transmitting the quality state information, the environment state information, the transportation state information and the road condition state information to a server through the 5G network, and respectively transmitting the quality state information, the transportation state information and the road condition state information to a corresponding quality analysis module, a quality abnormality analysis module, a logistics analysis module and a logistics abnormality feedback module through the server.
3. The agricultural product supply chain integrated service system based on the 5G network according to claim 1, wherein the specific operation steps of monitoring the environmental status information are as follows:
Uniformly distributing detection points in each link corresponding to the target agricultural product, detecting the temperature, the humidity, the air pressure and the illumination of each detection time point in each link corresponding to the target agricultural product through an environment detector to obtain the temperature, the humidity, the air pressure and the illumination of each detection time point in each link corresponding to the target agricultural product, and respectively carrying out average value calculation on the temperature, the humidity, the real pressure and the real light value of each detection time point in each link corresponding to the target agricultural product to obtain a real temperature value, a real humidity value, a real pressure value and a real light value of each detection time point in each link corresponding to the target agricultural product; extracting the real temperature value, the real humidity value, the real pressure value and the real light value of each detection time point of each link corresponding to the target agricultural product, and carrying out normalization calculation processing to obtain an annular space evaluation value;
obtaining the damage quantity of each detection point of each link corresponding to the target agricultural product, comparing the damage quantity with the damage quantity threshold value of each detection point of each link corresponding to the target agricultural product, if the damage quantity of a certain detection point of a certain link is larger than the damage quantity threshold value, marking the detection point of the certain link as a damage point, thereby obtaining each damage time point of each link current detection period corresponding to the target agricultural product, integrating each adjacent damage time point in each link current detection period corresponding to the target agricultural product, and obtaining each damage time period, thereby counting the damage duration of each link current detection time period corresponding to the target agricultural product;
The method comprises the steps of obtaining the freshness of each detection point of each link corresponding to the target agricultural product, comparing the freshness with the freshness threshold value of each detection point of each link corresponding to the target agricultural product, if the freshness of a certain detection point of a certain link is smaller than the freshness threshold value, marking the detection point of the certain link as a freshness point, thereby obtaining each freshness time point of each current detection period of each link corresponding to the target agricultural product, integrating each adjacent freshness time point in each current detection period of each link corresponding to the target agricultural product, obtaining each freshness time period, and counting the duration of the insurance period of each current detection period of each link corresponding to the target agricultural product.
4. The comprehensive service system for agricultural product supply chain based on 5G network according to claim 3, wherein the environmental state of each link corresponding to the target agricultural product in the current detection time period is analyzed and processed, and the specific operation steps are as follows:
extracting annular evaluation values, damage duration and insurance duration values of the current detection time periods of all links corresponding to the target agricultural products, and carrying out normalization calculation processing to obtain environmental impact evaluation coefficients of the current detection time periods of all links corresponding to the target agricultural products;
And comparing the environmental impact evaluation coefficient with a comparison reference interval, generating an environmental severe impact signal when the environmental impact evaluation coefficient is larger than the maximum value of the comparison reference interval, and generating an environmental mild impact signal when the environmental impact evaluation coefficient is smaller than the minimum value of the comparison reference interval.
5. The comprehensive service system of agricultural product supply chain based on 5G network according to claim 1, wherein the analysis and processing are performed on the transportation state of each link corresponding to the target agricultural product, and the specific operation steps are as follows:
the method comprises the steps of obtaining the transportation time of each detection point of each link corresponding to a target agricultural product, comparing the transportation time with a preset transportation time threshold value of each detection point of each link corresponding to the target agricultural product, marking the detection point of a certain link as a transportation delay starting point if the transportation time of the detection point of the certain link is greater than the preset transportation time threshold value, and integrating all marked transportation delay starting points, so that the transportation delay duration of each link corresponding to the target agricultural product is obtained;
acquiring specific positions in the transportation process of each link corresponding to the target agricultural product in real time through a GPS, wherein the specific positions comprise the residual distance from the destination and the driving route, and marking the residual distance and the driving route as residual distance values and driving route values;
Acquiring transport delay time, residual journey value and road value of each detection point of each link corresponding to the target agricultural product, and marking as F j 、G j And H j The transport delay time length, the residual distance value and the road value of each detection point of each link corresponding to the target agricultural product are matched with the allowable transport delay time length F of each detection point of each link corresponding to the target agricultural product Allow for Allowable remaining range value G Allow for And allowable way value H Allow for Comparing, according to the formula:obtaining a transportation state evaluation coefficient YSZ of each link corresponding to the target agricultural product in the current detection period j Wherein v represents a set of detection time points in the transportation process, v=1, 2,3 … … n2, n2 represents a positive integer, and δ1, δ2 and δ3 represent weight coefficients of a set transportation delay time length degree, a set remaining range value degree and a set road value degree, respectively;
and comparing the transportation state evaluation coefficient with a transportation state evaluation threshold, and generating a transportation state abnormal signal when the transportation state evaluation coefficient is smaller than the transportation state evaluation threshold.
6. The agricultural product supply chain comprehensive service system based on the 5G network according to claim 1, wherein the specific operation steps of monitoring the road condition status information are as follows:
Acquiring the estimated congestion time length in the road condition state information of each link in the current detection time period corresponding to the target agricultural product and calibrating the estimated congestion time length as the congestion time length;
acquiring weather conditions in road condition state information of each link corresponding to a target agricultural product in a current detection time period, wherein the weather conditions comprise a rainy day, a medium rainy day, a small rainy day, a strong wind day, a snowy day, a sunny day and a cloudy day, respectively assigning values, and adding the assigned values to obtain a weather influence value;
and obtaining the vehicle model, the load weight and the running speed in the transportation equipment in the current detection time period of each link corresponding to the target agricultural product, extracting the numerical values of the vehicle model, the load weight and the running speed, multiplying the numerical values by the corresponding weight coefficients respectively, and adding the numerical values to obtain the influence value of the transportation equipment.
7. The comprehensive service system of agricultural product supply chain based on 5G network according to claim 6, wherein the analyzing and processing are performed on the road condition status of each link corresponding to the target agricultural product in the current detection time period, and the specific operation steps are as follows:
carrying out normalization calculation processing by acquiring the values of the congestion duration, the weather influence value and the transport equipment influence value to obtain a road condition influence evaluation coefficient of each link current detection period corresponding to the target agricultural product;
Setting three gradient comparison intervals of road condition influence evaluation coefficients of the current detection period of each link corresponding to the target agricultural product, wherein the three gradient comparison intervals are a first gradient road condition influence interval, a second gradient road condition influence interval and a third gradient road condition influence interval respectively;
generating a road condition mild influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset first gradient road condition influence interval, generating a road condition moderate influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset second gradient road condition influence interval, and generating a road condition severe influence signal when the road condition influence evaluation coefficient of the current detection period of each link corresponding to the target agricultural product is in a preset third gradient road condition influence interval.
8. The agricultural product supply chain comprehensive service system based on the 5G network according to claim 1, further comprising an information display terminal, wherein the information display terminal is used for performing corresponding measure analysis processing on the received environmental state type signal and road condition state type signal, and when corresponding influence signals are captured, corresponding instructions are triggered and displayed and described on the display terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311290141.7A CN117350582A (en) | 2023-10-07 | 2023-10-07 | Agricultural product supply chain comprehensive service system based on 5G network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311290141.7A CN117350582A (en) | 2023-10-07 | 2023-10-07 | Agricultural product supply chain comprehensive service system based on 5G network |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117350582A true CN117350582A (en) | 2024-01-05 |
Family
ID=89364360
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311290141.7A Pending CN117350582A (en) | 2023-10-07 | 2023-10-07 | Agricultural product supply chain comprehensive service system based on 5G network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117350582A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117746345A (en) * | 2024-02-21 | 2024-03-22 | 国网山西省电力公司物资分公司 | Material state monitoring system and method based on big data |
-
2023
- 2023-10-07 CN CN202311290141.7A patent/CN117350582A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117746345A (en) * | 2024-02-21 | 2024-03-22 | 国网山西省电力公司物资分公司 | Material state monitoring system and method based on big data |
| CN117746345B (en) * | 2024-02-21 | 2024-04-23 | 国网山西省电力公司物资分公司 | Material state monitoring system and method based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109365769B (en) | Crystallizer bleed-out forecasting method based on mixed model judgment | |
| CN117350582A (en) | Agricultural product supply chain comprehensive service system based on 5G network | |
| CN105405298B (en) | A kind of recognition methods of car plate mark and device | |
| CN109598947B (en) | Vehicle identification method and system | |
| CN111625752B (en) | Dynamic truck scale metering method with automatic parameter fitting function | |
| CN109917213B (en) | Contact network detection fault early warning method based on dimensionality reduction fusion and factor analysis | |
| CN116258431A (en) | Cold chain transportation safety remote monitoring system based on internet | |
| CN111696097A (en) | Cable on-line monitoring method and device | |
| US20130173480A1 (en) | Maintenance cycle for an aircraft | |
| CN116026778A (en) | Sky-ground-based park carbon emission comprehensive monitoring system and method | |
| CN113516313A (en) | Gas anomaly detection method based on user portrait | |
| WO2018044041A1 (en) | Method for learning latest data considering external influences in early warning system and system for same | |
| CN109460923A (en) | A kind of ice covering on transmission lines probability forecasting method | |
| CN115913349B (en) | Optical cable equipment abnormality positioning method and device, storage medium and terminal | |
| CN116882865A (en) | Intelligent logistics loading system and loading method based on fresh distribution | |
| CN116859842A (en) | Chemical production line safety evaluation system | |
| CN116385025A (en) | Big data tracing system and method based on block chain | |
| CN115063427A (en) | Pollutant discharge monitoring image processing method for novel ship | |
| CN114167837B (en) | Intelligent fault diagnosis method and system for railway signal system | |
| CN115202404A (en) | Photovoltaic power generation unit maintenance inspection method based on unmanned aerial vehicle | |
| CN115239997A (en) | High and cold area transmission line shaft tower state monitoring system based on 5G thing networking | |
| CN114331139A (en) | Campus risk monitoring and early warning system based on block chain network | |
| CN114088907A (en) | Water, land and air integrated monitoring and early warning system for blue algae bloom in shallow lake | |
| CN117669898B (en) | Intelligent security monitoring management system based on Internet of things | |
| CN117993696B (en) | Unmanned aerial vehicle power inspection-based risk management system and method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |