CN202737916U - Plastic packaging material detection system based on Internet of things and cloud technology - Google Patents
Plastic packaging material detection system based on Internet of things and cloud technology Download PDFInfo
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Abstract
The utility model discloses a plastic packaging material detection system based on Internet of things and cloud technology. The plastic packaging material testing system comprises a cloud computing center, wherein the system module exchanges the data between a detection customer and a detection laboratory and stores and processes the data. The cloud computing center is a public or private cloud, wherein the private cloud namely stores the detection data of the customer as the independent data group in a private database server; the public cloud namely stores the detection data of different customers in a same database server space. The detection system has the function of the Internet of things, and the system module automatically collects, stores, analyzes and transmits the detection information and the detection data. The detection method, the detection instruments, the modern logistics technology, and the software system are organically combined as a whole, so as to not only solve the technical problems of the existing equipment that: the mass storage of the detection data and the Internet applications can not be realized, but also to avoid the one-time investment on self-built laboratory detection instruments purchases by enterprises.
Description
Technical Field
The utility model discloses a plastic packaging detection technology especially relates to a plastic packaging material detecting system based on thing networking and cloud.
Background
With the continuous progress of social economy and science and technology, the requirements of people on the quality of commodity packages and the performance and safety of packaging materials are higher and higher. Therefore, in order to ensure the stability of the actual effect of the package, the packaging material detection industry is in the process of coming up, and the plastic packaging material detection is an important field in the packaging material detection.
At present, when an enterprise or an organization has performance detection requirements on plastic packaging materials, two choices are usually faced, firstly, a detection instrument is purchased by oneself to construct a laboratory for detection, and secondly, a sample is sent to a government detection mechanism or other third-party detection mechanisms for detection, and a final detection result is obtained.
The first mode is that the enterprise purchases a detection instrument by oneself to construct a laboratory for detection and can be applied to detection and quality control of daily production, but the mode needs the enterprise to own the laboratory, so that the enterprise is inevitably required to invest a large amount of funds to purchase the detection instrument, cultivate laboratory personnel with professional detection skills and finally complete construction of the laboratory.
For enterprises with the capability of building own laboratories, the existing packaging material detection instruments on the market are not good and bad, most of the detection instruments are still in the technical stage of a single-chip microcomputer control system, most of the detection instruments are designed and applied from the perspective of a single testing machine, and data result input and small amount of data storage and chart output are performed aiming at a single experimental process, so that the requirements for storage and analysis of massive historical data of the laboratories cannot be met. To date, there has never been an internet application that could provide vast amounts of historical data storage and analysis, as well as experimental data, throughout the plastic packaging inspection industry.
And for the second mode: due to the characteristics of high cost and long period (links such as communication, counter filling, report acquisition and the like are needed), the third-party entrusts the detection mode, is generally used for obtaining evidence of product quality disputes and analyzing the reason of product quality problems, and is rarely applied to quality control of daily production of enterprises. At present, some leading detection service providers gradually apply e-commerce technology to improve efficiency and convenience of each link. But still cannot fundamentally change its service mode and application scope.
No matter the laboratory that enterprise oneself established or the laboratory that third party detection mechanism established all belong to general tradition and detect the laboratory, in tradition detection laboratory, after the testing, must the inspector manual work carry out reading, the record of detection data from the detector to the preparation of test report. In addition to recording the data read from the test instruments, the necessary calculations and processing of these data are required in the production of test reports, and these operations in the conventional test industry can only be performed manually. The laboratory management system applied in the packaging and detecting industry can store and manage the test report, but the test data in the laboratory management system are manually input, only the paper report is simply converted into the electronic report to be stored, and the automatic processing of the data and the automatic generation of the report in the true sense are not realized.
SUMMERY OF THE UTILITY MODEL
The utility model aims at solving above because the equipment design technique falls behind and can't detect data automated processing, the problem of continuous data accumulation and analysis, simultaneously also once only drop into greatly in order to solve the self-built laboratory, entrust third party detection mechanism cycle length, the expense is high, the problem of inconvenient operation, a plastic packaging material detecting system based on thing networking and cloud technique is provided, it is with test method, detecting instrument, network technology organic combines into a whole, the difficult technical problem of test data mass storage and internet application that existing instrument and equipment can't realize has both been solved, also can avoid the once only drop into of enterprise purchase detecting instrument self-built laboratory simultaneously, provide the short period that third party detection mechanism can't provide, low cost, self-service novel plastic packaging material detection service, the utility model discloses will embody unequalityly society in the aspect of promoting enterprise product quality and guaranteeing food and drug safety health Will be worth.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
a plastic packaging material detection system based on the Internet of things and cloud technology comprises at least one remote detection laboratory system and a cloud computing center; wherein,
the remote testing laboratory system comprises:
each test unit is provided with at least one packaging material detector, each packaging material detector is embedded with a unique global identification code, the identification code comprises manufacturer information, factory information and batch information, and the identification code is preset in a memory of the packaging material detector; the packaging material detector is connected with the sensor group and the data transceiver module I, the sensor group detects the working environment data of the packaging material detector, the packaging material detector detects the packaging material, and the packaging material detector stores all the data in an original coding format and transmits the data through the data transceiver module I;
the data acquisition server is provided with a data transceiver module II, receives and processes all original coding format data sent by each test unit through the data transceiver module II, and realizes automatic acquisition, storage and analysis of working environment data and packaging material data; the data acquisition server is connected with the cloud computing center;
the cloud computing center includes:
private clouds or/and public clouds, where private clouds, i.e. customer's data, are stored as separate data clusters in a database server on the system provider's private infrastructure, where the most efficient control of data, security and quality of service is provided by the system provider; the public cloud achieves the purposes of system operation and data service provision by renting usable clouds provided by third party providers through system providers.
The cloud computing center completes data exchange, data storage, processing, report downloading and page display between a client with detection requirements and a remote detection laboratory system.
The sensor group comprises at least one of temperature, humidity, weight, pressure, trace oxygen, trace water, vibration, inclination angle, distance, force value, current, voltage and speed, the sensor is connected with an amplifying circuit, the amplifying circuit amplifies an original signal output by the sensor and sends the amplified signal into an A/D conversion circuit, the A/D conversion circuit is connected with a CPU of a packaging material detector, the packaging material detector is also connected with a display, and the CPU is connected with a data transceiver module I.
The data acquisition server includes:
the data analysis unit is used for analyzing the received original coding format data into readable data;
the secondary data storage unit is used for storing the analyzed readable data;
and the data sorting and reporting unit is used for sending the analyzed readable data to the cloud computing center.
The packaging material detector is a tensile machine, a tearing instrument, an oxygen transmission rate tester, a water vapor transmission rate tester or a sealing performance tester for detecting the plastic packaging material; the data transceiver module I, II is a wired network module or a wireless network module, wherein the wireless network module is a Zigbee, bluetooth, GPRS, 3G, 4G, WIFI or CDMA module.
The cloud computing center includes:
the remote detection laboratory system service module collects the client detection demand information and sends the relevant demand information to the data acquisition server of the corresponding remote detection laboratory system;
the data acquisition, storage and management system module receives the analyzed data in the readable format uploaded by the remote detection laboratory system after detection is finished, and stores and manages the data;
the report automatic generation system module acquires the detected data from the data acquisition, storage and management system module, processes the data according to the report requirements received from the remote detection laboratory system, and finally makes a detection report/analysis report for the client to download; and finally transmitting the report to a remote detection laboratory system.
The remote detection laboratory system service module comprises:
the client self-service laboratory management submodule is used for managing basic data of a remote detection laboratory system in the module, and comprises enterprise portal setting, enterprise electronic account management, enterprise supplier management, packaging material information management, laboratory member account number and authority management;
the data service sub-module is used for submitting detection requirements, tracking and checking the progress of a detection list, checking and downloading a detection report and checking and downloading an analysis report in the module by a client;
the remote detection laboratory system performs account number and authority setting of detection laboratory technicians, laboratory instrument information setting, laboratory detection project setting, charging standard setting, customer sample signing, test sample manufacturing, test implementation, report management, customer information management and laboratory energy efficiency statistical analysis in the module.
The data acquisition, storage and management system module comprises:
the data synchronization and analysis unit submodule automatically receives the detection data of the original coding format of the remote detection laboratory system;
the test original data storage submodule stores the received test data;
and the management and service data storage submodule is used for storing and managing service data in the remote detection laboratory system.
The report automatic generation system module comprises:
the report request and service interface sub-module receives a report request submitted by a client in the remote detection laboratory service system module;
the report automatic generation submodule processes the detection data and generates a report;
and the template making and managing submodule is used for making and managing the templates required by the detection report and the analysis report.
The original coding format data is subjected to different packaging processing according to three types of data, one type is an equipment data frame which mainly comprises sensor information; the second type is an information acquisition equipment communication frame which comprises test parameters and other data information acquired by an auxiliary information acquisition system; and a third type of control frame, wherein the control frame enables a data server as a system master station to realize the control of the equipment by using a downlink instruction:
(1) device data frame: the frame header comprises frame synchronization words, equipment numbers, test numbers and test type information; the data part is divided into 'equipment information', 'test parameters', 'real-time data' and 'test results' according to the different reported information, each type of information selects a plurality of frame formats according to the different reported specific contents, and each frame format is distinguished by 'feature coding'; the frame tail is mainly used for storing byte-by-byte exclusive or check codes from the first byte of the frame head to the previous byte of the frame tail;
(2) information acquisition device communication frame: the system also comprises three parts of a frame head, data and a frame tail, wherein the frame head part comprises frame synchronization words, equipment numbers, test numbers, equipment types, standby information and characteristic coding information; the data part comprises two kinds of data of sample information and operator information and is respectively sent to the data acquisition server and the test instrument; the frame tail is mainly used for storing byte-by-byte exclusive or check codes from the first byte of the frame head to the previous byte of the frame tail;
(3) and (3) control frame: the frame header comprises frame synchronization words, server numbers, target machine numbers, standby information and characteristic coding information; the data part issues a log instruction set comprising a shutdown instruction, instrument calling time, instrument setting time, instrument calling sensors, switch information, switch control, instrument calling parameters, starting and stopping experiments and instrument calling; the frame end is mainly used for storing byte-by-byte exclusive or check codes from the first byte of the frame head to the previous byte of the frame end.
A detection method of a plastic packaging material detection system based on the Internet of things and cloud technology comprises the following steps:
A remote detection laboratory system is set up, and a packaging material detector with the function of the Internet of things is configured for a laboratory;
Logging in a cloud computing center through a data acquisition server of a remote detection and detection laboratory system, and configuring basic data such as a customer account number, a laboratory technician account number, laboratory instrument information, laboratory detection project information and a charging standard;
A customer logs in a cloud computing center by using a customer account number, and configures a customer laboratory portal, a member account number, a supplier, a detection material and electronic account information;
A client logs in a cloud computing center, submits a detection order and transmits a detection material to a remote detection laboratory system through logistics;
The detection laboratory receives the detection material transmitted by the logistics, logs in the cloud computing center to carry out sample preparation and test implementation according to the detection requirements of customers;
step 6, detection data acquisition, transmission and analysis
After the test is started, the remote detection laboratory system with the function of the Internet of things automatically collects, analyzes and stores the detection data and transmits the detection data to a sub-module data collection, storage and management system module of the cloud detection center for data synchronization and storage;
After data analysis is finished, a report automatic generation system module of the cloud computing center carries out report making on the data according to a data template, and after the report making is finished, the report is issued to a client interface and report expense is deducted;
And (4) logging in the cloud computing center by the client, and downloading the detection report.
In the step 3, the step of processing the image,
308, carrying out a test, and detecting by a packaging material detecting instrument;
and step 310, logging in the cloud computing center by a client, and entering a data service submodule to download a detection report.
In the step 6, the process is carried out,
601, after a sample enters a detection instrument, a packaging material detector collects sample information;
603, the data acquisition server receives the detection data in the original format sent by the packaging material detector;
606, receiving the readable format data sent by the data acquisition, sorting and reporting unit, storing and managing by a data synchronization and analysis unit submodule of the cloud computing center;
and 608, logging in the cloud computing center by the client, and entering a data service submodule to download the detection report.
The step 7 is that the step of the method is that,
703, the report automatic generation submodule acquires a data group meeting the analysis request from the test original data storage submodule according to the analysis request, processes and analyzes the data, generates an analysis report according to a report template in the template making and management module, transmits the generated analysis report to the data service submodule through the report request and service interface module, and deducts report cost;
The instrument and the data acquisition reporting system of the utility model adopt two-way wireless communication, support three communication means of Zigbee and (or) Bluetooth and (or) GPRS, CDMA and 3G, realize the automatic transmission of the detection data, and do not need human participation; and the bidirectional communication between the packaging material detection instrument and the cloud computing center is realized through the Internet of things and the cloud computing technology.
And a report request and service interface unit is arranged in the report automatic generation system, a detection report is automatically generated in the report generation system according to the request of a user in the service system through a program interface, and the detection report is transmitted to a customer service system for the user to check and download. The report generation process in the system is completely free from human participation, data are collected and stored by a data collection, management and storage system from the beginning of the generation of the data by a detection instrument, and are transmitted to a report generation system, and after receiving a report request of a service system, the report generation system combines the data and a template according to a report template set in a report template management module to generate a detection report, and finally the detection report is issued to a service system of a client for downloading by the client.
The real-time data of the test is transmitted to a customer service system in a real-time data report mode through a bidirectional wireless communication technology between the instrument equipment and the data acquisition, management and storage system. Compared with the traditional laboratory, the client can not only check the test result, but also know the test data in the whole test process in detail through the test real-time data report, and master the whole test process.
In the system, automatic charging of the fee is also combined, the client has an electronic account in an enterprise portal of the client, and the fee is charged according to the detection result aiming at different detection requirements of the client each time. The charging according to the result corresponds to the charging according to the requirement, in the traditional third-party entrustment detection, when a client puts forward a detection requirement (generally, when an entrustment detection order is submitted to a detection mechanism), the client needs to submit the detection fee to the detection mechanism together, in the system, the client has a certain available value in an enterprise electronic account, and when a detection report is issued, the system calculates the fee according to the detection result and finally deducts the fee, so that the effect of charging according to the result is achieved. Therefore, the client does not need to carry out the work processing related to the cost when submitting the detection requirement every time, and only needs to carry out the cost recharging regularly (or according to the system prompt).
The industry currently provides detection reports as the end of a detection test, each detection report exists in the form of an independent individual, but if all the independent individuals are collected, a huge information cluster is formed, and very much valuable information can be mined from the information cluster. The system is provided with a storage management unit of test data, the storage management unit is used for storing mass historical test data, comparing and analyzing the same or different materials and tests after receiving the analysis requirement provided by a customer through a service system, and finally generating an analysis report for the customer to check and download. The customer can utilize the analysis tool provided in the system to mine valuable information from the whole information cluster, and effective guidance is provided for the enterprise to the generation or the use of the packaging material.
The utility model has the advantages that:
1. the problem that customers with the detection requirements of plastic packaging materials cannot build detection laboratories of own enterprises due to capital, technicians, fields and the like is solved; therefore, customers can own remote laboratories to control the quality of the packaging materials without investing large amount of funds to purchase detection instruments, culture technicians and set up sites to establish laboratories;
2. the problem that detection data of a traditional laboratory is stopped from being reported and a data group cannot be formed for data mining is solved; the data of a client laboratory is centrally stored and managed, and multi-dimensional analysis of samples and suppliers is performed, so that value information and powerful basis are provided for quality control, improvement and enterprise development of clients;
3. the problems that the traditional laboratory detection data is required to depend on manual reading, recording, calculating, processing and report issuing are solved, automatic data acquisition, transmission, processing and report generation are completely realized, the labor cost and the time cost are reduced, and the accuracy of the detection data is greatly improved;
4. the laboratory can acquire real-time data of the whole experimental process through automatic acquisition and transmission of detection data, and grasp the experimental process of the whole experiment instead of acquiring experimental result data, so that judgment basis is provided for the effectiveness of the experiment.
5. Generally, the manufacturers of the detection instruments are only proficient in the detection technology, and the technical focus is on how to manufacture more accurate instruments, namely detection data; the detection institution and the detection service provider are usually only precise in the management of the detection process and the provision of the detection results (conclusions based on the detection data); developers of information systems are only sophisticated in information and software technology and have little knowledge of detection technology and detection service business. Therefore, the lack of soil and environment can stand on a plurality of professional angles, innovative thinking is carried out from the direction of the whole social benefit and industry progress, the two traditional modes of purchasing equipment self-building laboratories and entrusting detection can exist for decades without new innovation, and the development maturity of cloud computing and internet of things technology is a necessary condition of the utility model. So the effective integration of the innovative idea angle and the multiple professional technologies of the utility model becomes rather difficult.
6. At present, the packing performance detection laboratory still stays at the stage of single machine operation, manual data processing and local application. The utility model discloses an effective combination of a series of software and hardware systems, through developed modern logistics network, become the huge laboratory that has cluster detection service ability with a plurality of laboratories, and extend the service range of this laboratory to the internet and even each corner in the world, basic facilities such as the instrument that makes the laboratory, manpower resources, experimental data storage space, software system operation and service ability etc. resources can both accomplish to expand as required, the distributed management of entity laboratory has been increased, the full automatic processing of test report and data service's cloud mode etc. make this huge package detection cluster laboratory reach best resource utilization and maximum efficiency. The utility model discloses totally subvert function, service range, management and resource allocation mode, the information processing mode etc. of traditional packing detection laboratory, created the packing detection laboratory of a brand-new type service unification, cluster management.
Drawings
FIG. 1 is a diagram of a hardware system structure of the present invention;
FIG. 2 is a connection diagram of a sensor group and a detection packaging instrument;
FIG. 3 is a block diagram of the system of the present invention;
FIG. 4 is an overall flow chart of the present invention;
FIG. 5 is a flow diagram of a business implementation;
FIG. 6 is a flow chart of the data processing of the present invention;
fig. 7 is a flow chart of the analysis report of the present invention.
Wherein, 1, a packing material detector, 2, a data acquisition server, 3, a cloud computing center, 101, a sensor group, 102, a CPU, 103, a data transceiver module I, 104, an amplifying circuit, 105, an A/D conversion circuit, 106, a display, 201, a data transceiver module II, 202, a data acquisition, sorting and reporting system, 203, a data analysis unit, 204, a secondary data storage unit, 205, a data sorting and reporting unit, 301, a remote detection laboratory system service module, 302, a client self-service laboratory management submodule, 303, a data service submodule, 304, a detection laboratory management submodule, 305, a report automatic generation system module, 306, a report request and service interface submodule, 307, a report automatic generation submodule, 308, a template making and management submodule, 309, a data acquisition, storage and management system module, 310. the data synchronization and analysis unit submodule 311 is an experiment original data storage submodule 312 is a management and business data storage submodule.
Detailed Description
The present invention will be further explained with reference to the accompanying drawings and examples.
In fig. 1 and 3, a plastic packaging material detection system based on internet of things and cloud technology comprises at least one remote detection laboratory system and a cloud computing center 3; wherein,
the remote testing laboratory system comprises:
each test unit is provided with at least one packaging material detector 1, and a unique global identification code is embedded into each packaging material detector 1, contains manufacturer information, factory information and batch information and is preset in a memory of the packaging material detector; the packaging material detector 1 is connected with the sensor group 101 and the data transceiver module I103, the sensor group 101 detects the working environment data of the packaging material detector 1, the packaging material detector 1 detects the packaging material, and the packaging material detector 1 stores each data in an original coding format and transmits the data through the data transceiver module I103;
the data acquisition server 2 is provided with a data transceiver module II201, and the data acquisition server 2 receives and processes all the original coding format data sent by each test unit through the data transceiver module 201 to realize automatic acquisition, storage and analysis of working environment data and packaging material data; the data acquisition server 2 is connected with the cloud computing center 3;
the cloud computing center 3 includes:
the system comprises a private cloud and/or a public cloud, wherein the private cloud, namely data of a client, is stored in a private database server as an individual data group and is completely isolated from other clients; the public cloud, that is, the detection data of different clients are stored in the same database server space.
The cloud computing center 3 completes data exchange, data storage, processing, report downloading and page display between the customer with the detection requirement and the remote detection laboratory system.
In fig. 2, the sensor group 101 includes at least one of temperature, humidity, weight, pressure, trace oxygen, trace water, vibration, inclination, distance, force value, current, voltage, and speed, the sensor is connected to the amplifying circuit 104, the amplifying circuit 104 amplifies the original signal output by the sensor and sends the amplified signal to the a/D converting circuit 105, the a/D converting circuit 105 is connected to the CPU102 of the packaging material detector 1, the packaging material detector 1 is further connected to the display 106, and the CPU102 is connected to the data transceiver module I103. The packaging material inspection apparatus 1 acquires data from the sensor group 101 (including at least one sensor), and after amplification processing by the amplifier circuit 104, the data is sent to the a/D converter circuit 105 to be converted into a high-precision digital signal. The converted digital signal is then sent to the CPU102 for analysis. The processed result is visually displayed through the display 106, and data is transmitted through the data transceiver module I103.
The data collection server 2 includes:
a data parsing unit 202, parsing the received original encoding format data into readable data;
a secondary data storage unit 203 for storing the analyzed readable data;
and the data sorting and reporting unit 204 is configured to send the analyzed readable data to the cloud computing center 3.
The packaging material detector 1 is a tensile machine, a tearing strength instrument, an oxygen transmission rate tester, a water vapor transmission rate tester or a sealing performance tester for detecting the plastic packaging material; the data transceiver module I, II is a wired network module or a wireless network module; the wireless network module is Zigbee, Bluetooth, GPRS, 3G, 4G, WIFI or CDMA module.
The cloud computing center 3 includes:
the remote detection laboratory system service module 301 collects the customer detection requirement information and sends the relevant requirement information to the data acquisition server 2 of the corresponding remote detection laboratory system;
a data acquisition, storage and management system module 309, which receives the analyzed data in readable format uploaded by the remote detection laboratory system after detection, and stores and manages the data;
an automatic report generation system module 305 that obtains the detected data from the data acquisition, storage, and management system module 309 and processes the data according to the report requirements received from the remote detection laboratory system, and finally makes a detection report/analysis report for the client to download; and finally transmitting the report to a remote detection laboratory system.
The remote testing laboratory system service module 301 comprises:
the client self-service laboratory management submodule 302 is used for the client to perform basic data management of a remote detection laboratory system in the module, wherein the basic data management comprises enterprise portal setting, enterprise electronic account management, enterprise supplier management, packaging material information management, laboratory member account number and authority management;
the data service submodule 303 is used for submitting a detection requirement, tracking and checking the progress of a detection list, checking and downloading a detection report and checking and downloading an analysis report in the module by a client;
the remote testing laboratory system performs account and authority setting of testing laboratory technicians, laboratory instrument information setting, laboratory testing project setting, charging standard setting, customer sample signing, test sample preparation, test implementation, report management, customer information management and laboratory energy efficiency statistical analysis in the module 304.
The data collection, storage, and management system module 309 includes:
the data synchronization and analysis unit sub-module 310 is used for automatically receiving the detection data of the remote detection laboratory system;
a test original data storage submodule 311 for storing the received test data;
and the management and service data storage sub-module 312 is used for storing and managing service data in the remote detection laboratory system.
The report automatic generation system module 305 includes:
the report request and service interface sub-module 306 is used for receiving a report request submitted by a client in the remote detection laboratory service system module;
a report automatic generation sub-module 307 for processing the detection data and generating a report;
the template creation and management sub-module 308 creates and manages templates required for the inspection report and the analysis report.
The original coding format data is subjected to different packaging processing according to three types of data, one type is an equipment data frame which mainly comprises sensor information; the second type is an information acquisition equipment communication frame which comprises test parameters and other data information acquired by an auxiliary information acquisition system; and a third type of control frame, wherein the control frame enables a data server as a system master station to realize the control of the equipment by using a downlink instruction:
(1) device data frame: the frame header comprises frame synchronization words, equipment numbers, test numbers and test type information; the data part is divided into 'equipment information', 'test parameters', 'real-time data' and 'test results' according to the different reported information, each type of information selects a plurality of frame formats according to the different reported specific contents, and each frame format is distinguished by 'feature coding'; the frame tail is mainly used for storing byte-by-byte exclusive or check codes from the first byte of the frame head to the previous byte of the frame tail;
(2) information acquisition device communication frame: the system also comprises three parts of a frame head, data and a frame tail, wherein the frame head part comprises frame synchronization words, equipment numbers, test numbers, equipment types, standby information and characteristic coding information; the data part comprises two kinds of data of sample information and operator information and is respectively sent to the data acquisition server and the test instrument; the frame tail is mainly used for storing byte-by-byte exclusive or check codes from the first byte of the frame head to the previous byte of the frame tail;
(3) and (3) control frame: the frame header comprises frame synchronization words, server numbers, target machine numbers, standby information and characteristic coding information; the data part issues a log instruction set comprising a shutdown instruction, instrument calling time, instrument setting time, instrument calling sensors, switch information, switch control, instrument calling parameters, starting and stopping experiments and instrument calling; the frame end is mainly used for storing byte-by-byte exclusive or check codes from the first byte of the frame head to the previous byte of the frame end.
The utility model discloses in can be the relation of 1 between packing material detector 1 and the data acquisition server 2 that has wireless data transceiver function, 1 data acquisition server 2 can communicate with a plurality of packing material detectors 1 simultaneously. This means that the remote inspection laboratory system can be a plurality of geographically diverse physical package inspection laboratories that can expand and increase indefinitely according to the traffic demands of package inspection without any changes to the cloud computing center 3. The communication between the two is in a wired or wireless mode, and the wireless communication mode supports Zigbee and/or Bluetooth and/or GPRS, CDMA, 3G, 4G, Wi-Fi and other communication means when the wireless mode is adopted. The data acquisition server 2 is a special computer which is transformed, and a data transceiver module II201 and a data acquisition, processing and reporting system are added on the basis of a common computer. The data acquisition, processing and reporting system comprises a data analysis unit 202, a secondary data storage unit 203, a data sorting and reporting unit 204 and the like, wherein the data analysis unit 202 analyzes data sent by the packaging material detector 1 and stores the data in the secondary data storage unit 203, according to a scheduling instruction sent by the cloud computing center 3, the data acquisition server 2 can utilize the data sorting and reporting unit 204 to operate and preprocess local data, and can also bear a part of distributed operation tasks to reduce the operation pressure of the cloud computing center, and after the data processing is completed, the data sorting and reporting unit 204 selects data according to the reporting requirements and performs lossless compression processing on the reported data through a data compression module. The data compression before reporting is to reduce the network bandwidth pressure and improve the data processing efficiency, and the compression adopts a Deflate algorithm.
Meanwhile, in order to complete two-stage network two-way communication between the cloud computing center 3 and the packaging material detectors 1, a unique global identification code is embedded into each packaging material detector 1 before the packaging material detector 1 is connected to the network, the identification code comprises manufacturer information, factory information, batch information and the like, the identification code can be preset in an instrument memory and can also be interpreted and defined by an access system, and therefore the system can be accessed to non-standard instruments of various manufacturers to infinitely expand the increasing requirements of detection projects. The addressing mode of the multi-stage (according to the multi-stage design, the current application is two stages) network instrument enables the cloud computing center 3 to accurately send instructions to the instrument and screen data from different packing material detectors 1 through the multi-stage network. The technical support ensures that an entity laboratory can flexibly increase and decrease instruments and equipment according to business requirements without influencing the whole system.
The cloud computing center adopts virtualization technology to provide continuously expanded computer hardware resources, an Iaas (infrastructure is a service) platform is constructed to provide infinite detection data storage space expansion service for users, a Saas (software is a service) platform is constructed, a laboratory service system for detecting the remote packaging performance is provided for enterprise users in operation on the platform, the system also refers to the technical idea of cloud computing in a service mode, the users only need to wait for the online service of data and results after online entrusting, the tests finished in which laboratories do not need to be concerned at all, the tests made by which instruments and experimenters and where the test data are stored are automatically coordinated and finished by the system. Because the utility model discloses broken through detecting instrument's thing networking bottleneck, made the test process data can accomplish automatic uploading and gather, so broken through the mode that current packaging material detected laboratory test report will rely on manual editing or manual leading-in test data in test report and data analysis report link, through the predefined and certain data mapping relation of test report template, can realize full-automatic test report generating function, test report just can the automated generation after experimental completion promptly.
Fig. 4 is a flow chart of the present invention, which includes the following steps:
A remote detection laboratory system is set up, and a packaging material detector with the function of the Internet of things is configured for a laboratory;
Logging in a cloud computing center through a data acquisition server of a remote detection and detection laboratory system, and configuring basic data such as a customer account number, a laboratory technician account number, laboratory instrument information, laboratory detection project information and a charging standard;
A customer logs in a cloud computing center by using a customer account number, and configures a customer laboratory portal, a member account number, a supplier, a detection material and electronic account information;
A client logs in a cloud computing center, submits a detection order and transmits a detection material to a remote detection laboratory system through logistics;
The detection laboratory receives the detection material transmitted by the logistics, logs in the cloud computing center to carry out sample preparation and test implementation according to the detection requirements of customers;
step 6, detection data acquisition, transmission and analysis
After the test is started, the remote detection laboratory system with the function of the Internet of things automatically collects, analyzes and stores the detection data and transmits the detection data to a sub-module data collection, storage and management system module of the cloud detection center for data synchronization and storage;
After data analysis is finished, a report automatic generation system module of the cloud computing center carries out report making on the data according to a data template, and after the report making is finished, the report is issued to a client interface and report expense is deducted;
And (4) logging in the cloud computing center by the client, and downloading the detection report.
In fig. 5, in said step 3,
308, carrying out a test, and detecting by a packaging material detecting instrument;
and step 310, logging in the cloud computing center by a client, and entering a data service submodule to download a detection report.
In fig. 6, in said step 6,
601, after a sample enters a detection instrument, a packaging material detector collects sample information;
603, the data acquisition server receives the detection data in the original format sent by the packaging material detector;
606, receiving the readable format data sent by the data acquisition, sorting and reporting unit, storing and managing by a data synchronization and analysis unit submodule of the cloud computing center;
and 608, logging in the cloud computing center by the client, and entering a data service submodule to download the detection report.
In fig. 7, the step 7 is,
703, the report automatic generation submodule acquires a data group meeting the analysis request from the test original data storage submodule according to the analysis request, processes and analyzes the data, generates an analysis report according to a report template in the template making and management module, transmits the generated analysis report to the data service submodule through the report request and service interface module, and deducts report cost;
Claims (3)
1. A plastic packaging material detection system based on the Internet of things and cloud technology is characterized by comprising at least one remote detection laboratory system and a cloud computing center; wherein,
the remote testing laboratory system comprises:
each test unit is provided with at least one packaging material detector; the packaging material detector is connected with the sensor group and the data transceiver module I, the sensor group detects working environment data of the packaging material detector, the packaging material detector detects the packaging material, and the packaging material detector stores all data in an original coding format and transmits the data through the data transceiver module I;
the data acquisition server is provided with a data transceiver module II;
the cloud computing center includes:
private clouds or/and public clouds, where private clouds, i.e. customer's data, are stored as separate data clusters in a database server on the system provider's private infrastructure, where the most efficient control of data, security and quality of service is provided by the system provider; the public cloud achieves the purposes of system operation and data service provision by renting usable clouds provided by third party providers through system providers.
2. The internet-of-things and cloud-technology-based plastic packaging material detection system as claimed in claim 1, wherein the sensor group comprises at least one of temperature, humidity, weight, pressure, trace oxygen, trace water, vibration, inclination angle, distance, force value, current, voltage and speed, the sensor is connected with an amplifying circuit, the amplifying circuit amplifies a raw signal output by the sensor and sends the amplified signal to an A/D conversion circuit, the A/D conversion circuit is connected with a CPU of the packaging material detector, the packaging material detector is further connected with a display, and the CPU is connected with a data transceiver module I.
3. The internet of things and cloud technology based plastic packaging material detection system as claimed in claim 1 or 2, wherein the packaging material detector is a tensile machine, a tearability meter, an oxygen transmission rate tester, a water vapor transmission rate tester or a sealing performance tester for detecting the plastic packaging material; the data transceiver module I, II is a wired network module or a wireless network module; the wireless network module is Zigbee, Bluetooth, GPRS, 3G, 4G, WIFI or CDMA module.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220184345 CN202737916U (en) | 2012-04-27 | 2012-04-27 | Plastic packaging material detection system based on Internet of things and cloud technology |
| PCT/CN2012/000575 WO2013159249A1 (en) | 2012-04-27 | 2012-05-02 | Plastic packaging material detection system and method based on internet of things and cloud technology |
| US13/513,501 US9734280B2 (en) | 2012-04-27 | 2012-05-02 | Plastic packaging materials testing system based on internet of things and cloud technology |
| US13/657,414 US9734281B2 (en) | 2012-04-27 | 2012-10-22 | Plastic packaging materials testing system based on internet of things and cloud technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220184345 CN202737916U (en) | 2012-04-27 | 2012-04-27 | Plastic packaging material detection system based on Internet of things and cloud technology |
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| CN202737916U true CN202737916U (en) | 2013-02-13 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN 201220184345 Expired - Lifetime CN202737916U (en) | 2012-04-27 | 2012-04-27 | Plastic packaging material detection system based on Internet of things and cloud technology |
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| CN (1) | CN202737916U (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103634413A (en) * | 2013-12-22 | 2014-03-12 | 大连佰思网络科技有限公司 | Cloud data connection and management platform for Internet of Things of smart city in PAAS (Platform As A Service) mode |
| CN106911796A (en) * | 2017-03-31 | 2017-06-30 | 天津中科先进技术研究院有限公司 | Intelligent logistics big data processing platform |
| CN107020248A (en) * | 2016-02-02 | 2017-08-08 | 济南兰光机电技术有限公司 | The auto-screening method and system of a kind of packaging detection method |
| CN107168250A (en) * | 2016-03-07 | 2017-09-15 | 济南兰光机电技术有限公司 | A kind of auto-allocation method and server of packaging detection task |
| CN107607161A (en) * | 2017-10-31 | 2018-01-19 | 苏州赛维新机电检测技术服务有限公司 | A kind of Multimode Intelligent detecting system |
| CN109525638A (en) * | 2018-10-15 | 2019-03-26 | 苏州创腾软件有限公司 | A kind of real-time method, electronic equipment and storage medium for sending experimental data |
| CN109978495A (en) * | 2019-03-05 | 2019-07-05 | 中广核工程有限公司 | A kind of nuclear power station debugging test Report workout method and system |
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- 2012-04-27 CN CN 201220184345 patent/CN202737916U/en not_active Expired - Lifetime
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103634413A (en) * | 2013-12-22 | 2014-03-12 | 大连佰思网络科技有限公司 | Cloud data connection and management platform for Internet of Things of smart city in PAAS (Platform As A Service) mode |
| CN107020248A (en) * | 2016-02-02 | 2017-08-08 | 济南兰光机电技术有限公司 | The auto-screening method and system of a kind of packaging detection method |
| CN107020248B (en) * | 2016-02-02 | 2019-02-15 | 济南兰光机电技术有限公司 | A kind of auto-screening method and system of packaging detection method |
| CN107168250A (en) * | 2016-03-07 | 2017-09-15 | 济南兰光机电技术有限公司 | A kind of auto-allocation method and server of packaging detection task |
| CN107168250B (en) * | 2016-03-07 | 2019-06-04 | 济南兰光机电技术有限公司 | A kind of auto-allocation method and server of packaging detection task |
| CN106911796A (en) * | 2017-03-31 | 2017-06-30 | 天津中科先进技术研究院有限公司 | Intelligent logistics big data processing platform |
| CN107607161A (en) * | 2017-10-31 | 2018-01-19 | 苏州赛维新机电检测技术服务有限公司 | A kind of Multimode Intelligent detecting system |
| CN109525638A (en) * | 2018-10-15 | 2019-03-26 | 苏州创腾软件有限公司 | A kind of real-time method, electronic equipment and storage medium for sending experimental data |
| CN109525638B (en) * | 2018-10-15 | 2022-04-15 | 苏州创腾软件有限公司 | Method for transmitting experimental data in real time, electronic equipment and storage medium |
| CN109978495A (en) * | 2019-03-05 | 2019-07-05 | 中广核工程有限公司 | A kind of nuclear power station debugging test Report workout method and system |
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