CN115063840A - Facial recognition management system based on livestock - Google Patents
Facial recognition management system based on livestock Download PDFInfo
- Publication number
- CN115063840A CN115063840A CN202210987035.3A CN202210987035A CN115063840A CN 115063840 A CN115063840 A CN 115063840A CN 202210987035 A CN202210987035 A CN 202210987035A CN 115063840 A CN115063840 A CN 115063840A
- Authority
- CN
- China
- Prior art keywords
- module
- core processing
- livestock
- data
- processing module
- 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
- 244000144972 livestock Species 0.000 title claims abstract description 69
- 230000001815 facial effect Effects 0.000 title claims abstract description 36
- 238000012545 processing Methods 0.000 claims abstract description 61
- 230000002688 persistence Effects 0.000 claims abstract description 50
- 230000002093 peripheral effect Effects 0.000 claims abstract description 27
- 230000002457 bidirectional effect Effects 0.000 claims abstract description 7
- 210000001503 joint Anatomy 0.000 claims description 9
- 241001465754 Metazoa Species 0.000 claims description 6
- 238000000034 method Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 claims 13
- 238000013500 data storage Methods 0.000 claims 1
- 230000006399 behavior Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000012217 deletion Methods 0.000 description 1
- 230000037430 deletion Effects 0.000 description 1
- 210000005069 ears Anatomy 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/5866—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/95—Pattern authentication; Markers therefor; Forgery detection
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Library & Information Science (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Engineering & Computer Science (AREA)
- Human Computer Interaction (AREA)
- Collating Specific Patterns (AREA)
Abstract
The invention discloses a facial recognition management system based on livestock, which comprises handheld input equipment, peripheral control equipment, a head portrait recognition module, a core processing module, a control management module, a data persistence module and a database, wherein the core processing module is respectively in bidirectional connection with the handheld input equipment, the head portrait recognition module, the data persistence module and the control management module, the data persistence module is in bidirectional connection with the database, the control management module is in bidirectional connection with the peripheral control equipment, and the head portrait recognition module is in bidirectional connection with the handheld input equipment.
Description
Technical Field
The invention relates to the technical field of image recognition, in particular to a face recognition management system based on livestock.
Background
The ear tag is applied to the ear of the livestock and is a mark for proving the identity of the livestock and bearing the individual information of the livestock. At present, in order to carry out electronic management on livestock raising, more and more pastures can be selected to carry electronic ear tags on livestock. However, the electronic ear tag still has many disadvantages in the using process, for example, 1, the electronic ear tag technology depends on the actual physical ear tag carrier, and the physical ear tag is troublesome to plant; 2. the electronic ear tag is easy to fall off from the livestock ear in the using process, so that the electronic ear tag is lost; 3. the ears of the livestock can be decomposed by using the electronic ear tag for a long time; 4. as the time of use increases, the electronic ear tag eventually fails due to damage; 5. the electronic ear tag cannot directly check the image information of the livestock and can be realized only by extra work; 6. the low reliability and low recognition rate (accuracy) of electronic ear tags have been a major problem for livestock identification. Thus, in conventional animal identification methods, ear marking technology has not been able to provide animals with a qualified level of security. Therefore, there is an urgent need to develop a livestock-based facial recognition management system to solve the above technical problems.
In view of the above, the present invention is particularly proposed.
Disclosure of Invention
The invention aims to provide a facial recognition management system based on livestock, which can reduce hardware cost and labor cost, improve reliability and recognition rate, check image information of the livestock while carrying out facial recognition, is convenient and quick, has wide application prospect and is beneficial to popularization and application.
In order to achieve the purpose, the face recognition management system based on the livestock comprises a handheld recording device, a peripheral control device, a head portrait recognition module, a core processing module, a control management module, a data persistence module and a database, wherein the core processing module is respectively in bidirectional connection with the handheld recording device, the head portrait recognition module, the data persistence module and the control management module;
the handheld type recording equipment is used for photographing and recording the face of the livestock, acquiring a face characteristic value through the head portrait recognition module, and finally uploading livestock information to the core processing module;
the head portrait identification module is responsible for butting the handheld entry equipment and the core processing module, identifying the received livestock facial picture, and returning a unique characteristic value after successful identification;
the core processing module is the core of the system and is responsible for butting other sub-modules and mainly used for issuing control instructions, uploading data operation and responding to user behaviors;
the data persistence module provides persistence operation of system data, is in butt joint with the core processing module and stores the data into a database;
the database is used for storing data and is in butt joint with the data persistence module, and the storage operation process is provided by the data persistence module;
the control management module is used for controlling and managing the peripheral control equipment and is in butt joint with the core processing module;
the peripheral control device is a device with functions of illumination, environmental monitoring or feeding control.
Preferably, the handheld entry device accesses the head portrait recognition module through the internet or a local area network and transmits a recognition result to the core processing module through the internet or the local area network, the core processing module, the control management module and the data persistence module are stored in one physical computer and directly communicate in the system, the data persistence module is connected with the database through the local area network, and the control management module issues a control instruction to the peripheral control device through the internet or the local area network.
Preferably, handheld type-in equipment acquires the picture of livestock for customization hardware equipment or general APP end equipment through the mode of shooing to the picture is transmitted for head portrait identification module through internet or LAN and is discerned, shows the identification result, then passes to core processing module with the facial unique characteristic information of livestock through internet or LAN.
Preferably, the head portrait identification module performs facial identification on the received picture, the core processing module queries the existing characteristic values, and the unique facial characteristic values and the corresponding livestock face thumbnails are returned to the transmitting terminal after successful identification.
Preferably, the core processing module is connected with the handheld input device and the head portrait recognition module through the internet and the local area network, and after receiving the facial characteristic values of the livestock uploaded by the handheld input device, the core processing module informs the data persistence module to store data through the control management module and the data persistence module in the system, responds to the operation of a user, and if the thumbnail of the specific livestock is to be inquired, the existing livestock characteristic values are transmitted to the head portrait recognition module through the network for inquiry, and if the peripheral device is to be controlled, the core processing module directly transmits a control command to the control management module through the system for device control.
Preferably, the data persistence module responds to the data processing instruction sent by the core processing module, including addition, deletion, modification and check, and completes corresponding data operation by using a specific persistence interface operation database through the internet or the local area network.
Preferably, the database responds to a data operation instruction sent by the data persistence module through the internet or a local area network, and stores related data to achieve the purpose of data persistence.
Preferably, the control management module receives the control instruction sent by the core processing module by means of intra-system communication, then responds to the instruction, sends the instruction to the peripheral control device through the internet or the local area network, and receives the instruction sending result and returns the instruction sending result to the core processing module.
Preferably, the peripheral control device receives and responds to the control instruction sent by the control management module through the internet or the local area network, and returns the operation result.
The face recognition management system based on the livestock has the following beneficial effects.
1. The livestock recording link can be completed in one step, the identification speed is more outstanding, the identification link can obviously improve the identification rate due to the range characteristic of facial identification compared with the traditional ear tag, the characteristic of uniquely identifying livestock is more obvious due to the uniqueness of the face, and in addition, compared with the traditional ear tag type, the livestock recording link can avoid the loss of the ear tag, save links such as ear tag nailing and the like, and greatly reduce the hardware cost and the use cost.
2. The core processing module, the persistence module and the control management module are matched for operation, so that the whole data processing, inquiring, inputting and equipment control are more effective, and particularly, according to the uniqueness of the facial characteristic values of the livestock, the equipment operation instruction can be accurately issued to the specific livestock, the labor cost is greatly reduced, and the accuracy and convenience of livestock feeding and the like are improved.
Drawings
FIG. 1 is a block diagram of a livestock-based facial recognition management system according to the present invention;
fig. 2 is a flow chart of the operation of a livestock-based facial recognition management system provided by the present invention.
Detailed Description
The present invention will be further described with reference to the following specific embodiments and accompanying drawings to assist in understanding the contents of the invention.
Fig. 1 shows a block diagram of a facial recognition management system based on livestock according to the present invention. The face recognition management system based on the livestock comprises handheld input equipment, peripheral control equipment, a head portrait recognition module, a core processing module, a control management module, a data persistence module and a database, wherein the core processing module is respectively in bidirectional connection with the handheld input equipment, the head portrait recognition module, the data persistence module and the control management module;
the handheld type recording equipment is used for photographing and recording the face of the livestock, acquiring a face characteristic value through the head portrait recognition module, and finally uploading livestock information to the core processing module;
the head portrait identification module is responsible for butting the handheld entry equipment and the core processing module, identifying the received livestock facial picture, and returning a unique characteristic value after successful identification;
the core processing module is the core of the system and is responsible for butting other sub-modules and mainly used for issuing control instructions, uploading data operation and responding to user behaviors;
the data persistence module provides persistence operation of system data, is in butt joint with the core processing module and stores the data into a database;
the database is used for storing data and is in butt joint with the data persistence module, and the storage operation process is provided by the data persistence module;
the control management module is used for controlling and managing the peripheral control equipment and is in butt joint with the core processing module;
the peripheral control device is a device with functions of lighting, environment monitoring or feeding control.
The handheld recording equipment accesses the head portrait recognition module through the internet or the local area network and transmits a recognition result to the core processing module through the internet or the local area network, the core processing module, the control management module and the data persistence module are stored in a physical computer together, direct communication is carried out in the system, the data persistence module is connected with a database through the local area network, and the control management module issues a control instruction to the peripheral control equipment through the internet or the local area network.
Handheld entering equipment is for customization hardware equipment or general APP end equipment, obtains the picture of livestock through the mode of shooing to the picture passes through internet or LAN and transmits for head portrait identification module and discern, shows the discernment result, then passes to core processing module through internet or LAN with the facial unique characteristic information of livestock.
The head portrait recognition module carries out facial recognition on the received picture, the core processing module inquires the existing characteristic values, and the unique facial characteristic values and the corresponding livestock face thumbnails are returned to the transmission end after the identification is successful.
The core processing module is connected with the handheld input device and the head portrait recognition module through the internet and the local area network, through the control management module and the data persistence module in the system, after receiving the facial characteristic value of the livestock uploaded by the handheld input device, the data persistence module is informed to store data, the operation of a user is responded, if the thumbnail of specific livestock is required to be inquired, the existing livestock characteristic value can be inquired for the head portrait recognition module through network transmission, if the peripheral device is required to be controlled, the control command can be directly connected and sent to the control management module through the system to be controlled.
The data persistence module responds to the data processing instruction sent by the core processing module, wherein the data processing instruction comprises increasing, deleting, modifying and checking, and corresponding data operation is completed by using a specific persistence interface operation database through the internet or a local area network.
The database responds to a data operation instruction sent by the data persistence module through the Internet or a local area network, and stores related data so as to achieve the purpose of data persistence.
The control management module receives the control instruction sent by the core processing module in an intra-system communication mode, then responds to the instruction, sends the instruction to the peripheral control equipment through the Internet or the local area network, receives the instruction sending result and sends the instruction sending result back to the core processing module.
And the peripheral control equipment receives and responds to the control instruction sent by the control management module through the Internet or the local area network, and returns the operation result.
Fig. 2 shows a flow chart of the operation of a livestock-based facial recognition management system according to the present invention. During the use, utilize handheld type-in equipment to take a picture to the face of livestock and type in the back, convey the picture earlier and carry out facial discernment to head portrait identification module, if the discernment is successful, then head portrait identification module can return the only eigenvalue of livestock facial discernment, if the discernment is failed, then can return failure reason, the handheld type-in equipment of discernment success back can send the only eigenvalue of livestock's facial discernment for core processing module.
After the core processing module receives the unique face identification characteristic value of the livestock, the persistence module is called to inquire a database at first, whether the characteristic value exists or not is checked, if the characteristic value exists, the user is prompted to exist, if the characteristic value does not exist, the addition is carried out, and the persistence module is called to store the database.
A user receives a user operation request through a web front end, and performs operation response according to the type of the request, if a specific livestock is inquired, a persistence module is called to inquire a database; if the livestock data are manually imported, sending the pictures to the head portrait identification module, returning the unique characteristic value of the face of the livestock by the head portrait identification module after successful identification, returning the reason of failure when the identification fails, and adding successfully after the identification succeeds; if the peripheral control equipment is controlled, the control management module is called to send a relevant instruction to the peripheral control equipment, and an execution result of the control instruction is returned.
And after receiving the control instruction of the core processing module, the control management module sends the control instruction to different peripheral control devices according to different instruction types, and the peripheral control devices perform control response and return response results.
The livestock recording link can be completed in one step, the identification speed is more outstanding, the identification link can obviously improve the identification rate due to the range characteristic of facial identification compared with the traditional ear tag, the characteristic of uniquely identifying livestock is more obvious due to the uniqueness of the face, and in addition, compared with the traditional ear tag type, the livestock recording link can avoid the loss of the ear tag, save links such as ear tag nailing and the like, and greatly reduce the hardware cost and the use cost. The core processing module, the persistence module and the control management module are matched for operation, so that the whole data processing, inquiring, inputting and equipment control are more effective, and particularly, according to the uniqueness of the facial characteristic values of the livestock, the equipment operation instruction can be accurately issued to the specific livestock, the labor cost is greatly reduced, and the accuracy and convenience of livestock feeding and the like are improved.
The inventive concept is explained in detail herein using specific examples, which are given only to aid in understanding the core concepts of the invention. It should be understood that any obvious modifications, equivalents and other improvements made by those skilled in the art without departing from the spirit of the present invention are included in the scope of the present invention.
Claims (9)
1. A facial recognition management system based on livestock is characterized by comprising handheld input equipment, peripheral control equipment, a head portrait recognition module, a core processing module, a control management module, a data persistence module and a database, wherein the core processing module is respectively in bidirectional connection with the handheld input equipment, the head portrait recognition module, the data persistence module and the control management module;
the handheld type recording equipment is used for photographing and recording the face of the livestock, acquiring a face characteristic value through the head portrait recognition module, and finally uploading livestock information to the core processing module;
the head portrait identification module is responsible for butting the handheld entry equipment and the core processing module, identifying the received livestock facial picture, and returning a unique characteristic value after successful identification;
the core processing module is the core of the system and is responsible for butting other sub-modules and mainly used for issuing a control instruction, uploading data operation and responding to user behavior;
the data persistence module provides persistence operation of system data, is in butt joint with the core processing module and stores the data into a database;
the database is used for storing data and is in butt joint with the data persistence module, and the storage operation process is provided by the data persistence module;
the control management module is used for controlling and managing the peripheral control equipment and is in butt joint with the core processing module;
the peripheral control device is a device with functions of lighting, environment monitoring or feeding control.
2. The facial recognition management system for livestock according to claim 1, wherein said handheld entry device accesses the head portrait recognition module through internet or lan, and transmits the recognition result to the core processing module through internet or lan, the core processing module, the control management module and the data persistence module are co-stored in a physical computer, the system is in direct communication, the data persistence module is connected to the database through lan, and the control management module issues the control command to the peripheral control device through internet or lan.
3. The livestock-based facial recognition management system of claim 2, wherein said handheld entry device is a customized hardware device or a general APP terminal device, and is used for taking pictures of livestock by taking pictures, transmitting the pictures to the head portrait recognition module for recognition through the Internet or a local area network, displaying the recognition result, and then transmitting the facial unique feature information of the livestock to the core processing module through the Internet or the local area network.
4. The system of claim 3 wherein the avatar identification module performs facial recognition on the received images, the core processing module queries the existing feature values and returns unique facial feature values and corresponding thumbnail images of the animal's faces to the transmitter after successful recognition.
5. The system of claim 4, wherein the core processing module is connected to the handheld entry device and the avatar recognition module via the internet and the lan, and when receiving facial feature values of animals uploaded by the handheld entry device via the in-system control management module and the data persistence module, the core processing module notifies the data persistence module to perform data storage, responds to user operations, and transmits existing animal feature values to the avatar recognition module via the network to query the avatar recognition module if the thumbnail of a specific animal is to be queried, and transmits control commands to the control management module via direct connection in the system to perform device control if the peripheral device is to be controlled.
6. The system of claim 5 wherein the data persistence module is responsive to data processing instructions from the core processing module, including adding, deleting, modifying, and manipulating the database to perform corresponding data manipulations via the internet or local area network using a specific persistence interface.
7. The livestock-based facial recognition management system of claim 6, wherein said database is responsive to data manipulation instructions sent by said data persistence module via the internet or local area network and stores relevant data for data persistence purposes.
8. The system of claim 7 wherein the control management module receives control commands from the core processing module by means of intra-system communications and then in response thereto, transmits the commands to the peripheral control device via the internet or local area network, and receives the command transmission results back to the core processing module.
9. The system of claim 8 wherein the peripheral control device receives and responds to control commands from the control management module via the internet or local area network and returns results of the operations.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210987035.3A CN115063840A (en) | 2022-08-17 | 2022-08-17 | Facial recognition management system based on livestock |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210987035.3A CN115063840A (en) | 2022-08-17 | 2022-08-17 | Facial recognition management system based on livestock |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115063840A true CN115063840A (en) | 2022-09-16 |
Family
ID=83207865
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210987035.3A Pending CN115063840A (en) | 2022-08-17 | 2022-08-17 | Facial recognition management system based on livestock |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115063840A (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101772782A (en) * | 2008-04-30 | 2010-07-07 | 松下电器产业株式会社 | Device for displaying result of similar image search and method for displaying result of similar image search |
CN105223926A (en) * | 2015-10-10 | 2016-01-06 | 中国农业科学院农业信息研究所 | A kind of intelligent management system of husbandry sector |
CN110826371A (en) * | 2018-08-10 | 2020-02-21 | 京东数字科技控股有限公司 | Animal identification method, device, medium and electronic equipment |
CN111259813A (en) * | 2020-01-17 | 2020-06-09 | 实地地产集团有限公司 | Face detection tracking method and device, computer equipment and storage medium |
WO2020119184A1 (en) * | 2018-12-12 | 2020-06-18 | 京东数字科技控股有限公司 | Intelligent feeding system and method for livestock |
-
2022
- 2022-08-17 CN CN202210987035.3A patent/CN115063840A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101772782A (en) * | 2008-04-30 | 2010-07-07 | 松下电器产业株式会社 | Device for displaying result of similar image search and method for displaying result of similar image search |
CN105223926A (en) * | 2015-10-10 | 2016-01-06 | 中国农业科学院农业信息研究所 | A kind of intelligent management system of husbandry sector |
CN110826371A (en) * | 2018-08-10 | 2020-02-21 | 京东数字科技控股有限公司 | Animal identification method, device, medium and electronic equipment |
WO2020119184A1 (en) * | 2018-12-12 | 2020-06-18 | 京东数字科技控股有限公司 | Intelligent feeding system and method for livestock |
CN111259813A (en) * | 2020-01-17 | 2020-06-09 | 实地地产集团有限公司 | Face detection tracking method and device, computer equipment and storage medium |
Non-Patent Citations (1)
Title |
---|
王荣: "基于深度学习的猪脸识别系统原型研究", 《中国优秀硕士学位论文全文数据库农业科技辑》 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110572305B (en) | Smart home equipment binding method and system, smart home equipment and mobile terminal | |
US9467509B2 (en) | Device control method and computer-readable recording medium | |
EP0601860B1 (en) | Server and client | |
US8120662B2 (en) | System and method for efficiently transferring data from an electronic camera device | |
TWI444833B (en) | Data prefetch in sas expanders | |
US8275858B2 (en) | Method for updating firmware of radio frequency identification reader through network system | |
CN106296541A (en) | A kind of intelligent economizing type toilet paper paper delivery method and system for public lavatory | |
US20070279189A1 (en) | Communication method between host and RFID reader, host device, RFID reader, and RFID communication system | |
CN115063840A (en) | Facial recognition management system based on livestock | |
US9270858B2 (en) | System, information processing apparatus and non-transitory computer readable medium | |
CN111753941A (en) | Equipment management system and method based on RFID | |
WO2015053568A1 (en) | Multimedia card service system and service method | |
JPH10164419A (en) | Camera controller and its method | |
KR100663601B1 (en) | Emergency call service method through mobile terminal | |
CN211264338U (en) | Tool safety management and control system for transformer substation construction operation | |
KR20020024235A (en) | The method for conversion and transmission of user data between a different kind of mobile phone | |
JPH11316693A (en) | Inter-program data cooperation system and its method | |
JPH08297616A (en) | Electronic mail service manager corresponding to schedule managing function | |
CN111614705A (en) | Method and system for service decision distribution among multiple terminal devices | |
KR102254949B1 (en) | Method, system and pos terminal for connecting pos address automatically | |
CN210110355U (en) | Intelligent online remote endoscope camera shooting control service system | |
US20230076217A1 (en) | Form creating system and non-transitory computer readable medium | |
CN113704369B (en) | System and method for adapting to IOT equipment | |
CN115394069B (en) | Multi-equipment linkage remote control system, method, equipment and storage medium | |
CN212809263U (en) | Equipment management system based on RFID |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220916 |