CN110555653A - Monitoring method based on LBS intelligent system - Google Patents

Monitoring method based on LBS intelligent system Download PDF

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CN110555653A
CN110555653A CN201910820592.4A CN201910820592A CN110555653A CN 110555653 A CN110555653 A CN 110555653A CN 201910820592 A CN201910820592 A CN 201910820592A CN 110555653 A CN110555653 A CN 110555653A
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曹少坤
邓林峰
张琦
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Hunan Zhongyu Zhiyun Iot Technology Co Ltd
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Hunan Zhongyu Zhiyun Iot Technology Co Ltd
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    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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Abstract

The invention discloses a monitoring method based on an LBS intelligent system, which comprises the following steps: attaching the terminal equipment to a product to be monitored, and reporting position information to a data acquisition module in an intelligent system by the terminal equipment on the product to be monitored; the data cleaning module receives the position data in the data acquisition module and cleans the position data, so that the position data can meet the format required by the data analysis module; the cleaned position data are uploaded to a data analysis module, and the data analysis module analyzes real-time change information of the product inventory to be monitored and collects the information to a WEB module; the WEB module receives the information collected by the data analysis module and displays the visual data to a user, so that the real-time change data of the self inventory of the product to be monitored can be monitored on line, and the real-time change data of the inventory of the product channel to be monitored can be monitored on line; it is possible to monitor the situation of stock running and stock stocking of the dealers online.

Description

monitoring method based on LBS intelligent system
Technical Field
the invention relates to a monitoring method, in particular to a monitoring method based on an LBS intelligent system.
Background
Business Intelligence (abbreviated as BI) analyzes data of existing orders, production, inventory, transactions, dealers, after sales and the like in an enterprise through a modern data warehouse technology, an online analysis processing technology, a data mining technology and a data display technology, and helps the enterprise to make a more correct Business operation decision.
in the process that an enterprise controls the whole life cycle of a product by using a commercial intelligent system (the life cycle refers to product production- > warehousing- > sales), the following difficulties exist:
(1) Real-time change data of the product self-stock cannot be monitored on line;
(2) real-time change data of product channel inventory cannot be monitored on line;
(3) The online monitoring of the stock-crossing and stock-stocking conditions of the dealers cannot be realized.
in summary, enterprises obviously have inconvenience and defects in actually using a commercial intelligent system, and therefore, a monitoring method capable of controlling technical characteristics of product production, inventory, channel sales and the like in real time is urgently needed in the market.
disclosure of Invention
In order to solve the above prior art problems, the invention provides a monitoring method based on an LBS intelligent system, which has the technical characteristics of real-time control of product production, inventory, channel sales and the like.
In order to achieve the purpose, the invention is realized by the following technical scheme:
a monitoring method based on LBS intelligent system includes the following steps:
step 1): attaching the terminal equipment to a product to be monitored, and reporting position information to a data acquisition module in an intelligent system by the terminal equipment on the product to be monitored;
step 2): the data cleaning module receives the position data in the data acquisition module and cleans the position data, so that the position data can meet the recognizable format of the data analysis module, and the cleaned data is stored in the data storage module; the data analysis module can recognize the format including: MCC, MNC, LAC, CI;
Step 3): the data analysis module receives the data in the data storage module, analyzes the real-time change information of the product inventory to be monitored and collects the information to the WEB module;
Step 4): and the WEB module receives the information collected by the data analysis module and displays the visual data to a user.
As an improvement, the terminal equipment is LBS equipment, the LBS equipment comprises an MCU, a network chip, a three-axis motion sensor and a power chip, and the three-axis motion sensor, the network chip and the power chip are all electrically connected with the MCU; the model of the MCU is STM8L051F3P6, the model of the network chip is MTK6261D, the model of the triaxial motion sensor is LIS2DH, and the model of the power supply chip is HM 6351.
As an improvement, the product to be monitored has an SN barcode (serial number, belonging to one-dimensional verification), the terminal device has a unique IMEI identification code, the IMEI identification code on the terminal device is bound with the SN barcode on the product to be monitored in a one-to-one correspondence manner, and the terminal devices on different products to be monitored report position information to a data acquisition module in an intelligent system through a network.
as an improvement, the terminal equipment reports the position information by adopting a 2G/NB-IOT network.
As an improvement, the inventory of the products to be monitored in the step 3) comprises free storage and channel storage at various places, and the data analysis module further comprises channel order information analysis to monitor whether channel storage has goods running and goods storage.
As an improvement, when the terminal device reports the location information to the data acquisition module, if it is monitored that the terminal device is in a static state, the time interval for reporting the location information is increased, otherwise, the time interval for reporting the location information is decreased.
As an improvement, the data analysis module includes a serial goods early warning for a product to be monitored, and the decision process of the serial goods early warning is as follows:
a) Each channel dealer is provided with a sales range, and a threshold value of a product to be monitored is configured in the sales range, wherein the threshold value comprises the static time and the number of the product to be monitored;
b) the data analysis module analyzes the position of the product to be monitored in real time, and when the product to be monitored is out of a channel sale range and the stationary time exceeds a configured threshold value, the commodity circulation early warning is carried out and the visual data is displayed through the WEB module; or/and the quantity of the products to be monitored which are out of the sales range exceeds a configured threshold value, then the goods mixing early warning is carried out, and the visual data is displayed through the WEB module.
As an improvement, the data analysis module includes a product stock early warning for a product to be monitored, and the decision flow of the product stock early warning is as follows:
a) each channel dealer sets a sales range, and a threshold value of a product to be monitored is configured in the sales range, wherein the threshold value comprises the static time and the quantity of the product to be monitored;
b) The data analysis module analyzes in real time according to the position of the product to be monitored, and when the product to be monitored is within a sales range and the rest time exceeds a configured threshold, the product is stocked for early warning and visual data are displayed through the WEB module; or/and the quantity of the products to be monitored in the sales range exceeds a configured threshold value, product stock early warning is carried out, and visual data are displayed through a WEB module.
as an improvement, the visual data display comprises a Geographic Information System (GIS) display and a visual billboard, the GIS uses a national map as a background to display position information, inventory and logistics track information of products to be monitored in all parts of the country, the GIS comprises GIS map configuration, the configuration latitude in the GIS map configuration comprises time, position, sales volume and inventory, the visual billboard displays statistical data in the form of the information billboard, and the statistical data comprises inventory and sales volume.
As an improvement, the data acquisition module further acquires data of a purchase, sale and storage system of a product to be monitored, and the method comprises the following steps:
a) The data acquisition module sends the acquired purchase, sale and storage data to the data cleaning module;
b) The data cleaning module cleans the purchase, sale and storage data of the product to be monitored according to the one-to-one correspondence attribute of the identification code IMEI on the terminal equipment and the product SN to be detected, so that the purchase, sale and storage data can meet the recognizable content of the data analysis module;
c) And compiling and arranging the cleaned purchase, sale and storage data into a data storage module.
has the advantages that: the system can observe production, storage, logistics and pre-sale/post-sale information systems in real time, so that an enterprise decision layer can acquire the operation data of products in real time and provide valuable data for the enterprise decision layer to make a company strategy, thereby reducing the operation cost of enterprises and improving the operation efficiency of the enterprises; the real-time change condition of the product to be monitored in the stock of each place can be acquired on line; the method can monitor whether the products to be monitored have the conditions of goods mixing and stock stocking in the channel on line.
drawings
FIG. 1 is a schematic diagram of an intelligent system of the present invention.
FIG. 2 is a schematic diagram of the structure of the terminal device of the present invention
Detailed Description
The present invention will be further described with reference to the drawings attached to the specification, but the present invention is not limited to the following examples.
Fig. 1-2 show a specific embodiment of a monitoring method based on an LBS intelligent system, which is a monitoring method based on an LBS intelligent system, and the monitoring method includes the following steps:
step 1): attaching a terminal device to a product to be monitored, reporting position information to a data acquisition module in an intelligent system by the terminal device on the product to be monitored, wherein the terminal device and the product to be monitored have a unique binding relationship, uploading the position information of the product to be monitored to the data acquisition module at the cloud end through a 2G/NB-IOT network, and increasing the time interval for reporting the position information if the terminal device is monitored to be in a static state when the terminal device reports the position information to the data acquisition module according to a certain strategy (timing or dynamic/static state of the product) during data uploading, or reducing the time interval for reporting the position information if the terminal device is monitored to be in the static state, and setting the time interval according to the actual situation;
Step 2): the data cleaning module receives the position data in the data acquisition module and cleans the position data, so that the position data can meet the recognizable format of the data analysis module, and the recognizable format of the data analysis module comprises: MCC (Mobile Country code), MNC (Mobile network code), LAC (location area code), CI (cell identification), and finally cleaned data are arranged in a data storage module;
Step 3): the cleaned position data are uploaded to a data analysis module, the data analysis module analyzes real-time change information of inventory of the product to be monitored and collects the information to a WEB module, the inventory of the product to be monitored mainly comprises free storage and channel storage in various places, and the data analysis module analyzes the real-time change information of the inventory according to the position information reported by the product to be monitored;
step 4): the WEB module receives the information collected by the data analysis module and displays visual data to a user, specifically:
Can be presented by a GIS (Geographic Information System) in the prior art: the method comprises the following steps of (1) displaying position information, inventory, logistics track and other information of a product to be monitored in administrative unit ranges of nationwide, provincial, city, district/county by taking a nationwide map as a background;
And GIS map configuration: the GIS presentation can be configured, and the configured latitude comprises time, position, sales volume, inventory and the like;
Visual billboard: and displaying various statistical data in the form of information boards, including stock, sales and the like.
the access WEB module is provided with settings such as user login and authority management, so that the user can conveniently manage access, and the access WEB module is the same as the conventional user account and password login technology.
As an improved embodiment, as shown in fig. 2, the terminal device is an LBS device, the LBS device includes an MCU1, a network chip 2, a three-axis motion sensor 3, and a power chip 4, and the three-axis motion sensor 3, the network chip 2, and the power chip 4 are all electrically connected to an MCU 1;
MCU1 model: STM8L051F3P6, parameters: 8K ROM 1K RAM, function: the equipment computing unit is responsible for coordinating and managing each device;
type 2 of the network chip: MTK6261D, parameters: 4M FLASH, 4M RAM, TCP protocol stack, function: transmitting the acquired data to a cloud terminal through a 2G operator network;
Three-axis motion sensor 3 model: LIS2DH, parameters: range 16g, function: detecting a device motion/rest state;
type 4 of the power supply chip: HM6351, parameters: maximum output voltage 5V, maximum quiescent current 40uA, function: the 5V is converted into 4.2V for the network chip 2 to use.
As an improved embodiment, the product to be monitored has an SN barcode, the terminal device has a unique identifier IMEI, that is, an international mobile equipment identifier, which is a globally unique IMEI (international mobile equipment identity), the identifier IMEI on the terminal device is bound with the SN barcode on the product to be monitored in a one-to-one correspondence manner, the terminal device on different products to be monitored reports location information to a data acquisition module in the intelligent system through a network, the data acquisition module acquires the location information of the terminal device, that is, the location information of the product to be monitored, and the data acquisition module sends the acquired location information to the data cleaning module. The ICCID is 19-20 bits in length, the last bit is a check bit, and two-dimensional verification such as graph binding can be adopted for a product to be monitored.
as an improved embodiment, the terminal device reports the location information using a 2G/NB-IOT network.
as an improved embodiment, the inventory of the products to be monitored in step 3) includes free storage and channel storage at various places, and the data analysis module further analyzes channel order information to monitor whether the channel storage has goods mixing and stock stocking, and realizes online acquisition of real-time change conditions of the inventory of the products to be monitored at various places through network transmission, particularly online monitoring whether the products to be monitored have goods mixing and stock stocking conditions at the channels.
As an improved embodiment, when the terminal device reports the location information to the data acquisition module, if it is monitored that the terminal device is in a static state, the time interval for reporting the location information is increased, otherwise, the time interval for reporting the location information is reduced, and the strategy (timing or dynamic/static state of the product) is adopted, so that the accuracy is high, the data can be accurately reflected, and for the interval time, the adjustment is performed according to the actual situation, and the interval time unit includes hours and days.
As an improved embodiment, the data analysis module includes a serial goods early warning for a product to be monitored, and the decision process of the serial goods early warning includes:
a) each channel dealer is provided with a sales range, a threshold value of the product to be monitored is configured in the sales range, the threshold value comprises the static time and the quantity of the product to be monitored, and for the motion state, the static time can be: 2h, 4h, 6h, 8h, 10h, 12h, 14h, 16h, conventionally 100 in number, for a rest condition, the rest time may be: 1-10 days, and 100 pieces are regularly arranged in number;
b) The data analysis module analyzes the position of the product to be monitored in real time, and when the product to be monitored is out of a channel sale range and the stationary time exceeds a configured threshold value, the commodity circulation early warning is carried out and the visual data is displayed through the WEB module; or/and the quantity of the products to be monitored which are out of the sales range exceeds a configured threshold value, then the goods mixing early warning is carried out, and the visual data is displayed through the WEB module.
the data analysis module stores the processing result into a database and provides the processing result for the WEB module to use, and the WEB module displays the position information of the product to be monitored in the self warehouse and the channel warehouse and the information of the purchase, sale and storage system in real time through visual data and displays the goods mixing early warning in real time.
As an improved embodiment, the data analysis module includes a product stock warning for a product to be monitored, and the decision flow of the product stock warning includes:
a) Each channel dealer will set a sales range, and a threshold value of the product to be monitored is configured in the sales range, where the threshold value includes the static time and the number of the product to be monitored, and for the motion state, the static time may be: 2h, 4h, 6h, 8h, 10h, 12h, 14h, 16h, conventionally 100 in number, for a rest condition, the rest time may be: 1-10 days, and 100 pieces are regularly arranged in number;
b) The data analysis module analyzes in real time according to the position of the product to be monitored, and when the product to be monitored is within a sales range and the rest time exceeds a configured threshold, the product is stocked for early warning and visual data are displayed through the WEB module; or/and the quantity of the products to be monitored in the sales range exceeds a configured threshold value, product stock early warning is carried out, and visual data are displayed through a WEB module.
the data analysis module stores the processing result into a database and provides the processing result for the WEB module to use, and the WEB module displays the position information of the products to be monitored in the self warehouse and the channel warehouse and the information of the purchase, sale and storage system in real time through visual data and displays the stocking and early warning of the products to be monitored in real time.
as an improved embodiment, the visual data display includes presentation of a geographic information system GIS and a visual billboard, the geographic information system GIS uses a national map as a background to display information such as position information, inventory, logistics track and the like of a product to be monitored in administrative units of nationwide, province, city, district/county, the geographic information system GIS includes GIS map configuration, the configuration latitude in the GIS map configuration includes time, position, sales volume and inventory, the visual billboard displays statistical data in the form of the information billboard, and the statistical data includes inventory and sales volume.
as an improved embodiment, as shown in fig. 1, the data acquisition module further acquires data of a purchase, sale and storage system of a product to be monitored, and includes the following steps:
a) The data acquisition module sends the acquired purchase, sale and storage data to the data cleaning module;
b) The data cleaning module cleans the purchase, sale and inventory data of the product to be monitored according to the one-to-one attribute of the IMEI and the SN of the product to be monitored on the terminal equipment, so that the purchase, sale and inventory data can meet the identifiable content of the data analysis module, and the identifiable content comprises: warehousing orders, purchase orders, sales orders, dealer lists, warehouse locations, product attributes, the identification code IMEI being an international Mobile equipment identification code which is a globally unique IMEI (international Mobile equipment identity);
c) and compiling and arranging the cleaned purchase, sale and storage data into a data storage module.
finally, it should be noted that the present invention is not limited to the above embodiments, and many variations are possible. All modifications which can be derived or suggested by a person skilled in the art from the disclosure of the present invention are to be considered within the scope of the invention.

Claims (10)

1. a monitoring method based on LBS intelligent system is characterized in that the monitoring method comprises the following steps:
Step 1): attaching the terminal equipment to a product to be monitored, and reporting position information to a data acquisition module in an intelligent system by the terminal equipment on the product to be monitored;
step 2): the data cleaning module receives the position data in the data acquisition module and cleans the position data, so that the position data can meet the recognizable format of the data analysis module, and the cleaned data is stored in the data storage module; the data analysis module can recognize the format including: MCC, MNC, LAC, CI;
step 3): the data analysis module receives the data in the data storage module, analyzes the real-time change information of the product inventory to be monitored and collects the information to the WEB module;
Step 4): and the WEB module receives the information collected by the data analysis module and displays the visual data to a user.
2. The monitoring method based on the LBS intelligent system according to claim 1, wherein: the terminal equipment is LBS equipment which comprises an MCU (1), a network chip (2), a three-axis motion sensor (3) and a power chip (4), wherein the three-axis motion sensor (3), the network chip (2) and the power chip (4) are all electrically connected with the MCU (1); the model of the MCU (1) is STM8L051F3P6, the model of the network chip (2) is MTK6261D, the model of the triaxial motion sensor (3) is LIS2DH, and the model of the power supply chip (4) is HM 6351.
3. the monitoring method based on the LBS intelligent system according to claim 1 or 2, wherein: the product to be monitored is provided with a SN bar code, the terminal equipment is provided with a unique IMEI identification code, the IMEI identification code on the terminal equipment is bound with the SN bar code on the product to be monitored in a one-to-one correspondence mode, and the terminal equipment on different products to be monitored reports position information to a data acquisition module in an intelligent system through a network.
4. The monitoring method based on the LBS intelligent system according to claim 3, wherein: and the terminal equipment reports the position information by adopting a 2G/NB-IOT network.
5. the monitoring method based on the LBS intelligent system according to claim 1, wherein: the product inventory to be monitored in the step 3) comprises free storage and channel storage at various places, and the data analysis module further comprises channel order information analysis module for monitoring whether channel storage has goods mixing and stock storage.
6. the monitoring method based on the LBS intelligent system according to claim 1 or 2, wherein: when the terminal equipment reports the position information to the data acquisition module, if the terminal equipment is monitored to be in a static state, the time interval for reporting the position information is increased, otherwise, the time interval for reporting the position information is reduced.
7. the monitoring method based on the LBS intelligent system according to claim 5, wherein: the data analysis module comprises a goods mixing early warning of a product to be monitored, and the judgment process of the goods mixing early warning comprises the following steps:
a) Each channel dealer is provided with a sales range, and a threshold value of a product to be monitored is configured in the sales range, wherein the threshold value comprises the static time and the number of the product to be monitored;
b) The data analysis module analyzes the position of the product to be monitored in real time, and when the product to be monitored is out of a channel sale range and the stationary time exceeds a configured threshold value, the commodity circulation early warning is carried out and the visual data is displayed through the WEB module; or/and the quantity of the products to be monitored which are out of the sales range exceeds a configured threshold value, then the goods mixing early warning is carried out, and the visual data is displayed through the WEB module.
8. The monitoring method based on the LBS intelligent system according to claim 5 or 7, wherein: the data analysis module comprises product stock early warning of products to be monitored, and the judgment process of the product stock early warning comprises the following steps:
a) Each channel dealer sets a sales range, and a threshold value of a product to be monitored is configured in the sales range, wherein the threshold value comprises the static time and the quantity of the product to be monitored;
b) the data analysis module analyzes in real time according to the position of the product to be monitored, and when the product to be monitored is within a sales range and the rest time exceeds a configured threshold, the product is stocked for early warning and visual data are displayed through the WEB module; or/and the quantity of the products to be monitored in the sales range exceeds a configured threshold value, product stock early warning is carried out, and visual data are displayed through a WEB module.
9. The monitoring method based on the LBS intelligent system according to claim 1, wherein: the display of the visual data comprises presentation of a Geographic Information System (GIS) and a visual billboard, wherein the GIS uses a national map as a background to display position information, inventory and logistics track information of products to be monitored, which belong to all parts of the country, the GIS comprises GIS map configuration, configuration latitude in the GIS map configuration comprises time, position, sales volume and inventory, the visual billboard displays statistical data in the form of the information billboard, and the statistical data comprises inventory and sales volume.
10. The monitoring method based on the LBS intelligent system according to claim 3, wherein: the data acquisition module also acquires data of a purchase, sale and storage system of a product to be monitored, and the data acquisition module comprises the following steps:
a) the data acquisition module sends the acquired purchase, sale and storage data to the data cleaning module;
b) The data cleaning module cleans the purchase, sale and storage data of the product to be monitored according to the one-to-one correspondence attribute of the identification code IMEI on the terminal equipment and the product SN to be detected, so that the purchase, sale and storage data can meet the recognizable content of the data analysis module;
c) and arranging the cleaned purchase, sale and storage data into a database for storage.
CN201910820592.4A 2019-08-29 2019-08-29 Monitoring method based on LBS intelligent system Pending CN110555653A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113656470A (en) * 2020-05-12 2021-11-16 北京市天元网络技术股份有限公司 Asset purchase prompting method and device, electronic equipment and storage medium
CN116934202A (en) * 2023-09-15 2023-10-24 交通运输部规划研究院 Container source and destination identification method based on LBS big data

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104537513A (en) * 2014-12-30 2015-04-22 天津市康恒信息科技有限公司 Regional logistics whole-process management and control system based on Internet of Things
CN104751293A (en) * 2015-04-13 2015-07-01 福建中兴电子科技有限公司 Case-related article management system
CN106093993A (en) * 2016-05-30 2016-11-09 上海欧冶金融信息服务股份有限公司 Internet of Things positioner
CN107274326A (en) * 2017-07-23 2017-10-20 高华 Detection and supervision message management system framework and the method for programming
CN109459986A (en) * 2018-11-06 2019-03-12 苏州恒琪信息科技有限公司 A kind of intelligent repository monitoring management system
US20200394586A1 (en) * 2018-02-06 2020-12-17 Siemens Healthcare Diagnostics Inc. Predictive inventory control apparatus and methods

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104537513A (en) * 2014-12-30 2015-04-22 天津市康恒信息科技有限公司 Regional logistics whole-process management and control system based on Internet of Things
CN104751293A (en) * 2015-04-13 2015-07-01 福建中兴电子科技有限公司 Case-related article management system
CN106093993A (en) * 2016-05-30 2016-11-09 上海欧冶金融信息服务股份有限公司 Internet of Things positioner
CN107274326A (en) * 2017-07-23 2017-10-20 高华 Detection and supervision message management system framework and the method for programming
US20200394586A1 (en) * 2018-02-06 2020-12-17 Siemens Healthcare Diagnostics Inc. Predictive inventory control apparatus and methods
CN109459986A (en) * 2018-11-06 2019-03-12 苏州恒琪信息科技有限公司 A kind of intelligent repository monitoring management system

Cited By (3)

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CN113656470A (en) * 2020-05-12 2021-11-16 北京市天元网络技术股份有限公司 Asset purchase prompting method and device, electronic equipment and storage medium
CN116934202A (en) * 2023-09-15 2023-10-24 交通运输部规划研究院 Container source and destination identification method based on LBS big data
CN116934202B (en) * 2023-09-15 2023-12-15 交通运输部规划研究院 Container source and destination identification method based on LBS big data

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Application publication date: 20191210