CN111988752A - Method for analyzing survival rate of crop products based on agricultural big data record - Google Patents
Method for analyzing survival rate of crop products based on agricultural big data record Download PDFInfo
- Publication number
- CN111988752A CN111988752A CN202010839363.XA CN202010839363A CN111988752A CN 111988752 A CN111988752 A CN 111988752A CN 202010839363 A CN202010839363 A CN 202010839363A CN 111988752 A CN111988752 A CN 111988752A
- Authority
- CN
- China
- Prior art keywords
- data
- agricultural
- products
- quality
- agricultural product
- 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 title claims abstract description 29
- 230000004083 survival effect Effects 0.000 title claims abstract description 15
- 230000002159 abnormal effect Effects 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 238000003908 quality control method Methods 0.000 claims abstract description 14
- 238000009826 distribution Methods 0.000 claims abstract description 11
- 238000004519 manufacturing process Methods 0.000 claims abstract description 4
- 238000004891 communication Methods 0.000 claims description 19
- 238000007405 data analysis Methods 0.000 claims description 9
- 239000002994 raw material Substances 0.000 claims description 9
- 238000005516 engineering process Methods 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims description 3
- 230000002093 peripheral effect Effects 0.000 claims description 3
- 238000001228 spectrum Methods 0.000 claims description 3
- 230000002950 deficient Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005457 optimization Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000009897 systematic effect Effects 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
-
- 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
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Business, Economics & Management (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Marketing (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Marine Sciences & Fisheries (AREA)
- Mining & Mineral Resources (AREA)
- Computing Systems (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Life Sciences & Earth Sciences (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a method for analyzing the survival rate of crop products based on agricultural big data records, which comprises the following steps: step (1), realizing quality control of agricultural products, and acquiring important parameters in the production and sale processes of the agricultural products; step (2), the ZigBee network with the mesh topology structure can effectively collect agricultural product data; analyzing the agricultural product data by detecting historical abnormal data and data distribution abnormity to realize quality monitoring of the agricultural product; and (4) tracing and recalling the agricultural products with quality problems through radio frequency identification. The invention collects data through a ZigBee-based wireless sensor network, analyzes agricultural product data through detecting historical abnormal data and data distribution abnormity, realizes agricultural product quality monitoring, and utilizes RFID radio frequency identification to trace source and recall agricultural products with quality problems, thereby realizing agricultural product quality control.
Description
Technical Field
The invention relates to the technical field of crop research, in particular to a method for analyzing the survival rate of crop products based on agricultural big data records.
Background
The agricultural big data is a data set which is generated after self characteristics such as agricultural regionality, seasonality, diversity, periodicity and the like are fused, has wide sources, various types, complex structure and potential value, and is difficult to process and analyze by a common method. The agricultural big data reserves basic characteristics of large scale (volume), various types (variety), low value density (value), high processing speed (horizon), high precision (veracity), high complexity (complexity) and the like of the big data, and information flow in agriculture is extended and deepened. In order to continuously promote the optimization of agricultural economy, realize sustainable industrial development and regional industrial structure optimization and further promote the construction process of intelligent agriculture, the development dynamics of agriculture needs to be comprehensively mastered in time, and an agricultural big data analysis application platform, namely an agricultural big data platform, needs to be built for supporting by relying on agricultural big data and related big data analysis and processing technologies. Technically, the platform should fully utilize advanced data management technology and data warehouse technology to build a business intelligent project with high efficiency, advancement and openness. Structurally, the platform should have good configurability to meet the changes of resources and business processes. Meanwhile, with the development of services and the increase of service volume, the system should have good application and performance expansion.
At present, China governments pay great attention to quality control of agricultural products, and direct laws and regulations are provided, so that important guarantee is provided for quality control analysis and application of agricultural products. On the basis, many scholars carry out systematic research on agricultural product quality control, but most of the current agricultural product quality control methods realize agricultural product quality control through sampling, and the result is unreliable.
Disclosure of Invention
The invention aims to provide a method for analyzing the survival rate of crop products based on agricultural big data records, and solves the problem that the quality control of agricultural products is realized mostly by sampling and the result is unreliable in the current quality control methods of agricultural products proposed in the background art.
In order to achieve the purpose, the invention provides the following technical scheme: a method for analyzing the survival rate of crop products based on agricultural big data records, comprising the following steps: step (1), quality control of agricultural products is achieved, important parameters in the production and sale processes of the agricultural products need to be collected, namely a basic database layer, a wireless sensing network can collect data in real time, and the wireless sensing network based on ZigBee is selected for collecting the data; step (2), the ZigBee network with the mesh topology structure can effectively collect agricultural product data, the collected data are sent to a remote data center in a relay mode, the remote data center stores the received data to a database, big data analysis is carried out through a business service layer and a data platform layer, and then the big data are stored to a Web memory and a corresponding server; analyzing the agricultural product data by detecting historical abnormal data and data distribution abnormity to realize quality monitoring of the agricultural product, researching the agricultural product data, obtaining a change rule of the data and comparing a current data change rule of the database to obtain a change trend of the monitored agricultural product data, and finding out possible abnormal conditions of the quality of the agricultural product; tracing and recalling the agricultural products with quality problems through radio frequency identification; and (5) when the quality of the agricultural products is in problem, gradually finding the raw material batches with problems from bottom to top according to the finished product batches with quality problems, gradually finding the finished products containing the batches from top to bottom according to the raw material batches with quality problems, and recalling the finished products and the finished products together.
Preferably, the ZigBee-based wireless sensing network takes the CC2430 as a core and is mainly used for data exchange, the CC2430 is a control chip, an enhanced 805l controller and a 2.8GHz spread spectrum radio frequency transceiver are arranged in the control chip, a peripheral circuit is simple, the ZigBee module is a high-performance chip, besides the CC2430 chip, an antenna, a sensor and the like are arranged, and the ZigBee module is a node substantially and can communicate with other nodes.
Preferably, the radio frequency identification system mainly comprises an electronic tag, a reader-writer and a computer communication network.
Preferably, the electronic tag is mainly used for storing information related to agricultural products, and is generally placed on the agricultural products, the stored information can be read and written in a non-contact mode by using a reader-writer, the reader-writer is a device capable of realizing reading and writing operations of the electronic tag information through a radio frequency technology, after the reader-writer reads out the tag information, the information is transmitted by using a PC (personal computer) and a network system, in a radio frequency identification system, a computer communication network is mainly responsible for completing management of quality data of the agricultural products, a communication function is realized, and the reader-writer can be connected with the PC communication network through a standard interface, so that the purposes of communication and data transmission are achieved.
Preferably, the agricultural product monitoring data historical database contains all information of quality data abnormity, and the distribution states of the abnormal data in different areas in the historical database are analyzed, so that quality monitoring personnel can find existing and potential agricultural product quality problems in each area.
Preferably, in the ZigBee module, the mesh topology structure comprises 3 communication devices such as a network coordinator, a router and a terminal device, and the selected mesh topology structure has strong self-organizing and self-healing capabilities and can well meet the requirement of agricultural product big data analysis.
Compared with the prior art, the invention has the beneficial effects that:
according to the method, data are collected through a ZigBee-based wireless sensor network, agricultural product data are analyzed through detecting historical abnormal data and data distribution abnormity, quality monitoring of agricultural products is achieved, the agricultural products with quality problems are traced and recalled through RFID radio frequency identification, quality control of the agricultural products is achieved, through experimental verification, the survival quality of the agricultural products can be effectively controlled, and control accuracy and stability are high.
Drawings
FIG. 1 is a diagram of a process for monitoring the quality of a crop product in accordance with the present invention;
FIG. 2 is a block diagram of an RFID system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, an embodiment of the present invention is shown: a method for analyzing the survival rate of crop products based on agricultural big data records, comprising the following steps: step (1), quality control of agricultural products is achieved, important parameters in the production and sale processes of the agricultural products need to be collected, namely a basic database layer, a wireless sensing network can collect data in real time, and the wireless sensing network based on ZigBee is selected for collecting the data; step (2), the ZigBee network with the mesh topology structure can effectively collect agricultural product data, the collected data are sent to a remote data center in a relay mode, the remote data center stores the received data to a database, big data analysis is carried out through a business service layer and a data platform layer, and then the big data are stored to a Web memory and a corresponding server; analyzing the agricultural product data by detecting historical abnormal data and data distribution abnormity to realize quality monitoring of the agricultural product, researching the agricultural product data, obtaining a change rule of the data and comparing a current data change rule of the database to obtain a change trend of the monitored agricultural product data, and finding out possible abnormal conditions of the quality of the agricultural product; tracing and recalling the agricultural products with quality problems through radio frequency identification; and (5) when the quality of the agricultural products is in problem, gradually finding the raw material batches with problems from bottom to top according to the finished product batches with quality problems, gradually finding the finished products containing the batches from top to bottom according to the raw material batches with quality problems, and recalling the finished products and the finished products together.
Furthermore, the ZigBee-based wireless sensing network takes the CC2430 as a core and is mainly used for data exchange, the CC2430 is a control chip, an enhanced 805l controller and a 2.8GHz spread spectrum radio frequency transceiver are arranged in the control chip, a peripheral circuit is simple, the ZigBee module is a high-performance chip, and the ZigBee module is provided with an antenna, a sensor and the like besides the CC2430 chip, is a node substantially and can be communicated with other nodes.
Further, the radio frequency identification system mainly comprises an electronic tag, a reader-writer and a computer communication network.
Furthermore, the electronic tag is mainly used for storing information related to agricultural products, and is generally placed on the agricultural products, the stored information can be read and written in a non-contact mode by using a reader-writer, the reader-writer is a device capable of realizing the reading and writing operation of the electronic tag information through a radio frequency technology, after the reader-writer reads out the tag information, the information is transmitted by using a PC (personal computer) and a network system, in a radio frequency identification system, a computer communication network is mainly responsible for completing the management of quality data of the agricultural products, so that a communication function is realized, and the reader-writer can be connected with the PC communication network through a standard interface, so that the purposes of communication and data transmission.
Furthermore, the agricultural product monitoring data historical database contains all information of quality data abnormity, and the distribution states of the abnormal data in different areas in the historical database are analyzed, so that quality monitoring personnel can find potential agricultural product quality problems existing in each area.
Furthermore, in the ZigBee module, the mesh topology structure comprises 3 communication devices such as a network coordinator, a router and a terminal device, and the selected mesh topology structure has strong self-organizing and self-healing capabilities and can well adapt to the big data analysis requirements of agricultural products.
The working principle is as follows: when the system is used, a ZigBee-based wireless sensing network is selected to collect data, the ZigBee network with a mesh topology structure can effectively collect agricultural product data, the collected data are sent to a remote data center in a relay mode, the remote data center stores the received data into a database, big data analysis is carried out through a service layer and a data platform layer and then stored to a Web memory and a corresponding server, the agricultural product data are analyzed through detecting historical abnormal data and data distribution abnormity, the quality of the agricultural products is monitored, the agricultural product data are researched, the change rule of the data is obtained and compared with the current data change rule of the database, the change trend of the monitored agricultural product data is obtained, so that the possible abnormal condition of the quality of the agricultural products is found, agricultural products with quality problems are traced back and retrieved through radio frequency identification, and when the quality problems of the agricultural products occur, according to the method, the batches of the defective raw materials are found step by step from bottom to top according to the batches of the finished products with the quality problems, the finished products containing the batches of the defective raw materials are found step by step from top to bottom according to the batches of the defective raw materials, the finished products are recalled together, data are collected through a ZigBee-based wireless sensor network, agricultural product data are analyzed through detecting historical abnormal data and data distribution abnormity, quality monitoring of the agricultural products is achieved, the agricultural products with the quality problems are traced and recalled through RFID radio frequency identification, quality control of the agricultural products is achieved, and through experimental verification, the survival quality of the agricultural products can be effectively controlled, and control accuracy and stability are high.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (6)
1. A method for analyzing the survival rate of crop products based on agricultural big data records, comprising the following steps:
step (1), quality control of agricultural products is achieved, important parameters in the production and sale processes of the agricultural products need to be collected, namely a basic database layer, a wireless sensing network can collect data in real time, and the wireless sensing network based on ZigBee is selected for collecting the data;
step (2), the ZigBee network with the mesh topology structure can effectively collect agricultural product data, the collected data are sent to a remote data center in a relay mode, the remote data center stores the received data to a database, big data analysis is carried out through a business service layer and a data platform layer, and then the big data are stored to a Web memory and a corresponding server;
analyzing the agricultural product data by detecting historical abnormal data and data distribution abnormity to realize quality monitoring of the agricultural product, researching the agricultural product data, obtaining a change rule of the data and comparing a current data change rule of the database to obtain a change trend of the monitored agricultural product data, and finding out possible abnormal conditions of the quality of the agricultural product;
tracing and recalling the agricultural products with quality problems through radio frequency identification;
and (5) when the quality of the agricultural products is in problem, gradually finding the raw material batches with problems from bottom to top according to the finished product batches with quality problems, gradually finding the finished products containing the batches from top to bottom according to the raw material batches with quality problems, and recalling the finished products and the finished products together.
2. The method for analyzing the survival rate of crop products based on agricultural big data records according to claim 1, wherein the method comprises the following steps: the ZigBee-based wireless sensing network takes the CC2430 as a core and is mainly used for data exchange, the CC2430 is a control chip, an enhanced 805l controller and a 2.8GHz spread spectrum radio frequency transceiver are arranged in the ZigBee-based wireless sensing network, a peripheral circuit is simple, the ZigBee module is a high-performance chip, the CC2430 chip, an antenna, a sensor and the like are arranged in the ZigBee module, and the ZigBee module is a node and can be in communication with other nodes.
3. The method for analyzing the survival rate of crop products based on agricultural big data records according to claim 1, wherein the method comprises the following steps: the radio frequency identification system mainly comprises an electronic tag, a reader-writer and a computer communication network.
4. The method for analyzing the survival rate of crop products based on agricultural big data records according to claim 3, wherein the method comprises the following steps: the electronic tag is mainly used for storing relevant information of agricultural products, is generally arranged on the agricultural products, the stored information can be read and written in a non-contact mode by using a reader-writer, the reader-writer is a device capable of realizing reading and writing operations of electronic tag information through a radio frequency technology, after the reader-writer reads out the tag information, a PC (personal computer) and a network system are used for transmitting the information, in a radio frequency identification system, a computer communication network is mainly responsible for completing management of quality data of the agricultural products, a communication function is realized, and the reader-writer can be connected with the PC communication network through a standard interface, so that the purposes of communication and data transmission are achieved.
5. The method for analyzing the survival rate of crop products based on agricultural big data records according to claim 1, wherein the method comprises the following steps: the agricultural product monitoring data historical database contains all information of quality data abnormity, and the distribution states of the abnormal data in different areas in the historical database are analyzed, so that quality monitoring personnel can find potential agricultural product quality problems existing in each area.
6. The method for analyzing the survival rate of crop products based on agricultural big data records according to claim 1, wherein the method comprises the following steps: in the ZigBee module, the mesh topology structure comprises 3 communication devices such as a network coordinator, a router and a terminal device, and the selected mesh topology structure has strong self-organizing and self-healing capabilities and can well meet the requirement of agricultural product big data analysis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010839363.XA CN111988752A (en) | 2020-08-19 | 2020-08-19 | Method for analyzing survival rate of crop products based on agricultural big data record |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010839363.XA CN111988752A (en) | 2020-08-19 | 2020-08-19 | Method for analyzing survival rate of crop products based on agricultural big data record |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111988752A true CN111988752A (en) | 2020-11-24 |
Family
ID=73434831
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010839363.XA Pending CN111988752A (en) | 2020-08-19 | 2020-08-19 | Method for analyzing survival rate of crop products based on agricultural big data record |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111988752A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114037318A (en) * | 2021-11-18 | 2022-02-11 | 中化现代农业有限公司 | Agricultural big data analysis platform and method |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103745358A (en) * | 2013-12-24 | 2014-04-23 | 南宁眸博科技有限公司 | Internet of things-based agricultural product traceability method |
| CN104657832A (en) * | 2015-03-14 | 2015-05-27 | 关洪军 | Whole-process monitoring and traceability tracking method for quality safety of agricultural products |
| CN107491900A (en) * | 2017-09-13 | 2017-12-19 | 浙江农林大学 | A kind of agriculture Internet of Things Technical innova- tion system and its implementation |
| CN108363294A (en) * | 2017-01-26 | 2018-08-03 | 安徽东方果园生物科技有限公司 | A kind of the environmental monitoring method for early warning and environmental monitoring early warning system of agricultural product transport closing and semiclosed carriage body |
-
2020
- 2020-08-19 CN CN202010839363.XA patent/CN111988752A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103745358A (en) * | 2013-12-24 | 2014-04-23 | 南宁眸博科技有限公司 | Internet of things-based agricultural product traceability method |
| CN104657832A (en) * | 2015-03-14 | 2015-05-27 | 关洪军 | Whole-process monitoring and traceability tracking method for quality safety of agricultural products |
| CN108363294A (en) * | 2017-01-26 | 2018-08-03 | 安徽东方果园生物科技有限公司 | A kind of the environmental monitoring method for early warning and environmental monitoring early warning system of agricultural product transport closing and semiclosed carriage body |
| CN107491900A (en) * | 2017-09-13 | 2017-12-19 | 浙江农林大学 | A kind of agriculture Internet of Things Technical innova- tion system and its implementation |
Non-Patent Citations (1)
| Title |
|---|
| 孙建召: "基于大数据分析的农产品质量控制研究", 江苏农业科学, no. 13, 16 July 2018 (2018-07-16), pages 320 - 323 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114037318A (en) * | 2021-11-18 | 2022-02-11 | 中化现代农业有限公司 | Agricultural big data analysis platform and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107330661B (en) | Low-power-consumption network self-adaptive warehouse management system | |
| CN101922310B (en) | Security monitoring and managing system of coal mine underground operators | |
| Zhu | Complex event detection for commodity distribution Internet of Things model incorporating radio frequency identification and Wireless Sensor Network | |
| Chen et al. | Research on key technology and applications for internet of things | |
| CN102445933B (en) | System for monitoring, alarming and managing farmland greenhouses based on Internet of things | |
| CN102088365B (en) | Energy consumption collecting and energy-saving metering system of communication room | |
| CN105338489A (en) | Intelligent terminal for indoor positioning and bluetooth indoor positioning system | |
| CN107193266A (en) | A kind of platform monitoring system of big data | |
| CN113254529A (en) | Industry thing networking platform based on edge calculation and HiTSDB storage | |
| CN208126425U (en) | A kind of electric power computer room grid equipment monitoring management system | |
| CN107609812A (en) | A kind of new intelligent warehousing system | |
| Lin | The application of the Internet of things in Hainan tourism scenic spot | |
| CN110046202A (en) | The integrated power system real time data releasing method of key value database based on memory | |
| CN111988752A (en) | Method for analyzing survival rate of crop products based on agricultural big data record | |
| CN107484189B (en) | LTE data processing system | |
| CN103067421A (en) | Device management system and method synchronously based on mobile terminal and server | |
| CN102629135A (en) | Wireless traceable mushroom house production management system and method | |
| Jing et al. | Research and design of the intelligent inventory management system based on RFID | |
| Chen et al. | Optimization of the intelligent asset management system based on WSN and RFID technology | |
| Zhou et al. | The technology system framework of the internet of things and its application research in agriculture | |
| CN102917026A (en) | Method, equipment and system for subscribing information of internet of things | |
| CN112162896A (en) | InfluxDB-based cluster data monitoring method | |
| Yin | Practice of air environment quality monitoring data visualization technology based on adaptive wireless sensor networks | |
| CN111080990A (en) | Storage and transportation environment monitoring system | |
| CN204883753U (en) | Workshop material information service platform based on thing networking |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Xiao Hongyu Inventor after: Cui Xiaojun Inventor before: Cui Xiaojun |