CN115035392A - Robot asset checking system and method - Google Patents
Robot asset checking system and method Download PDFInfo
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- CN115035392A CN115035392A CN202210737499.9A CN202210737499A CN115035392A CN 115035392 A CN115035392 A CN 115035392A CN 202210737499 A CN202210737499 A CN 202210737499A CN 115035392 A CN115035392 A CN 115035392A
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V20/35—Categorising the entire scene, e.g. birthday party or wedding scene
- G06V20/36—Indoor scenes
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The application provides a robot asset checking system, wherein an inspection robot acquires an asset inspection task, acquires identification information of equipment in a corresponding cabinet, and acquires equipment information according to the identification information; and the asset management platform acquires the equipment information from the background of the inspection robot and compares the equipment information with a preset asset ledger to obtain an asset checking result. The equipment detection module of the inspection robot adopts the combination of the sliding table and the line array camera to acquire the array image, so that the data acquisition efficiency is ensured, and the data processing capacity of the system is reduced; the inspection robot has a shielding removing submodule capable of removing a shielding prospect, identification information of equipment in the cabinet is obtained by adopting a shielding removing algorithm, a mechanical arm is not required to be arranged for opening the cabinet door, and the scheme implementation cost and potential safety hazards caused by misoperation are reduced; the asset checking system can automatically check and track the equipment assets in the data center, reduce labor cost and improve the intelligent level of the data center.
Description
Technical Field
The invention relates to the technical field of intelligent robots, in particular to a robot asset checking system and method.
Background
With the rapid development of the Internet, the global network Data volume is rapidly increased, and the vigorous development of the Internet Data Center (IDC) industry is further promoted. At present, the construction of an internet data center belongs to a new foundation point, the global overall market is still rapidly growing, and the increase of the demand of each industry on the data center also puts higher requirements on the maintenance and the inventory of fixed assets of a machine room.
Because the internet data center has numerous devices, the existing method for checking the assets of the devices through manual or handheld device records has the disadvantages of huge repeated workload, low efficiency, high missing rate of the devices and high cost. Moreover, the requirements on the personnel in the high-security and large-data-volume processing industry are extremely high, the life safety of the workers is difficult to guarantee in the operation of dangerous places and high-risk places, and obviously, the manual inspection is difficult to meet the development requirements of the data center, and in order to guarantee the normal operation of the internet data center equipment, a robot is urgently needed to replace the manual work to complete the equipment information inspection work of the internet data center.
Disclosure of Invention
In view of this, the invention provides a robot asset checking system and method, which are used for equipment asset checking and management of an Internet Data Center (IDC) and realizing automatic checking and management of assets.
The technical scheme is as follows:
a robotic asset inventory system, the system comprising: the system comprises an inspection robot, an inspection robot background and an asset management platform;
the inspection robot includes:
the system comprises a task acquisition module, a task processing module and a task processing module, wherein the task acquisition module is used for acquiring an asset inspection task, and the asset inspection task comprises an inspection map and an inspection place;
the equipment detection module is used for acquiring identification information of equipment in the cabinet corresponding to the inspection place and acquiring equipment information according to the identification information;
the information storage module is used for storing the equipment information to the background of the inspection robot;
the asset management platform comprises:
and the asset checking module is used for acquiring the equipment information from the background of the inspection robot and comparing the equipment information with a preset asset account to obtain an asset checking result.
Preferably, the equipment detection module comprises a sliding table and a line array camera, and the line array camera comprises a plurality of camera modules.
Preferably, the device detection module specifically includes:
the target area determining submodule is used for determining a target area where the identification information of the equipment in the cabinet corresponding to the inspection place is located according to a preset first target detection algorithm;
the shielding removing submodule is used for obtaining identification information of equipment in the cabinet corresponding to the inspection place from the target area according to a second target detection algorithm, and the second target detection algorithm is a detection model obtained by training a shielding removing algorithm in advance;
and the identification sub-module is used for obtaining the equipment information according to the identification information.
Preferably, the device information includes: equipment number, equipment affiliated department, equipment locker entering time, equipment change record and equipment home location.
Preferably, the asset management platform further comprises:
and the alarm module is used for giving an alarm when abnormal equipment exists in the asset inventory result.
Preferably, the asset management platform further comprises:
and the report generation module is used for generating an inventory report according to the asset inventory result.
In another aspect, the present application provides a robot asset checking method, which is applied to any one of the robot asset checking systems provided in the foregoing aspects, and the method includes:
acquiring an asset inspection task, wherein the asset inspection task comprises an inspection map and an inspection place;
acquiring identification information of equipment in a cabinet corresponding to the inspection place, and acquiring equipment information according to the identification information;
and comparing the equipment information with a preset asset account to obtain an asset checking result.
Preferably, the acquiring the identification information of the equipment in the cabinet corresponding to the inspection site includes:
determining a target area where the identification information of the equipment in the cabinet corresponding to the inspection place is located according to a preset first target detection algorithm;
and obtaining the identification information of the equipment in the cabinet corresponding to the routing inspection place from the target area according to a second target detection algorithm, wherein the second target detection algorithm is a detection model obtained by training through a shielding removal algorithm in advance.
Preferably, the device information includes: equipment number, equipment affiliated department, equipment locker entering time, equipment change record and equipment home location.
Preferably, the method further comprises: and when the asset checking result has abnormal equipment, alarming.
The technical scheme has the following beneficial effects:
the asset checking system and method provided by the embodiment of the application comprise: the system comprises an inspection robot, an inspection robot background and an asset management platform; the inspection robot includes: the system comprises a task acquisition module, a task management module and a task processing module, wherein the task acquisition module is used for acquiring an asset inspection task, and the asset inspection task comprises an inspection map and an inspection place; the equipment detection module is used for acquiring identification information of equipment in the cabinet corresponding to the inspection place and acquiring equipment information according to the identification information; the information storage module is used for storing the equipment information to the background of the inspection robot; the asset management platform comprises: the asset checking module is used for acquiring the equipment information from the background of the inspection robot and comparing the equipment information with a preset asset ledger to obtain an asset checking result; the device detection module adopts the combination of the sliding table and the line array camera to acquire the array image required by the shielding removal algorithm, so that the data acquisition efficiency is ensured, and the data processing capacity of the system is reduced; the inspection robot has a shielding removing submodule capable of removing a shielding prospect, identification information of equipment in the cabinet is obtained by adopting a shielding removing algorithm, a mechanical arm does not need to be arranged on the robot to carry out cabinet door opening action, and the scheme implementation cost and potential safety hazards caused by misoperation are reduced; the asset management platform can automatically count and track the equipment assets in the data center, so that the labor cost is reduced, and the intelligent level of the data center is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a robot asset checking system according to an embodiment of the present disclosure;
fig. 2 is a schematic block diagram of an inspection robot according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of a robot asset checking system acquiring device information according to an embodiment of the present disclosure;
fig. 4 is a schematic composition diagram of an equipment detection module of an inspection robot according to an embodiment of the present disclosure;
fig. 5 is a flowchart illustrating a robot asset checking method according to an embodiment of the present disclosure.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In order to implement automatic inventory of data center assets, an embodiment of the present application provides a robot asset inventory system, please refer to fig. 1, which includes: the inspection robot comprises an inspection robot 100, an inspection robot background 200 and an asset management platform 300;
as shown in fig. 2, in the embodiment of the present disclosure, the inspection robot 100 may include a task obtaining module 101, a device detecting module 102, and an information storing module 103.
The task acquisition module 101 is used for acquiring an asset inspection task, wherein the asset inspection task comprises an inspection map and an inspection place;
it can be understood that the inspection robot needs to acquire the asset inspection task before performing asset inventory, the asset inspection task at least comprises an inspection map and an inspection place, the inspection map is constructed for an internet data center corresponding to the asset inspection task, the inspection place comprises position information of equipment assets which the asset inspection task should inventory on the inspection map, and when the inspection robot acquires the asset inspection task, the inspection robot can inventory corresponding assets according to the inspection map and the inspection place in the task.
The equipment detection module 102 is used for acquiring identification information of equipment in the cabinet corresponding to the inspection location and acquiring equipment information according to the identification information;
specifically, equipment mainly includes the host computer in the rack, equipment such as switch and router, identification information on the equipment can be the bar code, the two-dimensional code, one kind in the characters sign, this application does not prescribe a limit to identification information's kind, the rack cabinet door generally is provided with the net, the equipment heat dissipation of being convenient for, and the net of cabinet door is not convenient for patrol and examine the identification information of equipment in the robot recognition rack, consequently, the robot of patrolling and examining that this application embodiment provides can get rid of the prospect through equipment detection module 102 and shelter from, refer to fig. 3, show that when identification information is under the condition of two-dimensional code, the flow that obtains of equipment information, equipment detection module 102 that this application embodiment provided includes:
the target area determining submodule 1021 is used for determining a target area where the identification information of equipment in the cabinet corresponding to the inspection location is located according to a preset first target detection algorithm;
the shielding removing submodule 1022 is configured to obtain identification information of equipment in the cabinet corresponding to the inspection site from the target area according to a target detection algorithm, where the second target detection algorithm is a detection model obtained by training a shielding removing algorithm in advance;
the inspection robot obtains the area with the identification information of the cabinet door grids through a preset first target detection algorithm, namely the target area, and then removes the foreground shielded in the target area through the shielding removing submodule 1021 according to a second target detection algorithm, namely removes the shielding of the cabinet door grids, so that the inspection robot obtains the identification information behind the cabinet door.
Specifically, a preset first target detection algorithm may be trained based on the occluded data to provide a target region for the de-occlusion algorithm, where the target region includes a region with identification information, so as to reduce an area of an irrelevant region, reduce a data amount of a de-occlusion operation, and reduce processing overhead of a subsequent de-occlusion operation, and the first target detection algorithm may use an existing recognition algorithm, for example, a recognition algorithm based on a Histogram of Oriented Gradients (HOG), a recognition algorithm based on an LBP (Local Binary Pattern), which is not limited herein.
Specifically, the blocking submodule 1022 may obtain a detection model according to a detection model trained by a blocking removal algorithm in advance, wherein a material used for model training may be obtained by shooting an image of the cabinet door, that is, the detection model is obtained based on the blocked data training. The identification information of equipment in the cabinet is obtained by adopting the shielding removal algorithm, a mechanical arm does not need to be arranged on the robot to open the cabinet door, the cost for obtaining the identification information and the potential safety hazard caused by misoperation are reduced, it needs to be explained that the shielding removal algorithm can refer to the existing shielding removal algorithm, and the shielding removal algorithm is not expanded in the application.
An identifier recognizing sub-module 1023 for obtaining device information according to the identifier information;
it can be understood that, after the de-occlusion sub-module 1022 obtains the identification information, the identifier recognizing sub-module 1023 may obtain the device information according to the identification information, specifically, the identifier recognizing sub-module 1023 recognizes the identification information according to a preset recognition algorithm, where the preset recognition algorithm may be a two-dimensional code recognition algorithm, an OCR recognition algorithm, or a recognition algorithm specially developed for a specific device, such as liquid crystal display status recognition, and the like, which is not limited in the present application.
Specifically, the device information in the embodiment of the present application may include: the equipment number, the equipment belonging department, the equipment locker entering time, the equipment change record and the equipment home location, where the equipment home location includes the equipment stored cabinet number and the specific storage location in the cabinet, for example: # A2001 Cabinet 6U Unit.
It can be understood that, since the occlusion removal algorithm needs to acquire array image data, fig. 4 is a schematic composition diagram of the device detection module 102 provided in the embodiment of the present application, and includes a sliding table 102A and a line array camera 102B, where the line array camera includes a plurality of camera modules.
Specifically, on the sliding table 102A, a line array camera 102B composed of N cameras may be arranged, where N is an integer greater than or equal to 3, and N may be set according to actual needs. The movement of the slide 102A is relied on to achieve the M × N array effect, where M is the number of times the slide is moved.
The number of moving parts can be reduced by the combined mode (the module only supports the motion in the direction vertical to the line array camera), and then the number of the cameras is changed from M to N into N because the cameras are line arrays, so that the image data processing pressure and the module cost are reduced, the calibration between the cameras is easy to carry out, and in terms of performance, the combined mode is between the array module and the purely mechanical module, and the balance between the sampling speed and the sampling capacity is realized. It can be understood that the module can also be used as a depth camera module for self navigation positioning and target positioning of the robot.
When the device detection module 102 works in the foreground removing function, the shielding of the cabinet grid on the device identification information can be removed, and when the device detection module 102 works as a depth camera, the depth information can be acquired and the position of the device in the space can be calculated by combining the positioning information of the inspection robot.
The information storage module 103 is used for storing the equipment information to the inspection robot background 200;
specifically, the information storage module 1013 stores the obtained device information in the background 200 of the inspection robot.
The asset management platform 300 includes: and the asset checking module 301 is configured to obtain the device information from the background 200 of the inspection robot, and compare the device information with a preset asset ledger to obtain an asset checking result.
It can be understood that the preset asset ledger is asset list ledger information counted by internet data center workers, after the asset checking module receives patrol data collected by the patrol robot from the patrol robot background system, the asset checking module compares the patrol data with the preset asset ledger to count the warehouse-out and warehouse-in conditions and abnormal equipment of the current internet data center equipment assets, and when abnormal equipment exists in the asset checking result, the alarm module 302 in the asset management platform 300 gives an alarm.
Optionally, the asset checking module may further count the new warehousing data, the new ex-warehousing data and the undetected data according to the historical data. The newly-entered equipment is equipment which just enters the data center, equipment information exists in the asset management platform and is detected by the inspection robot, and the newly-entered equipment has no history. And the new ex-warehouse equipment registers the equipment which is moved out for the asset management platform, and the inspection robot does not have the detection record of the equipment in the current inspection. The abnormal equipment mainly comprises equipment which is newly taken out of the warehouse but detected by the inspection robot, equipment which is newly taken in the warehouse but not detected by the inspection robot, and equipment which exists but is not detected by the inspection robot.
Optionally, when the background system detects that the inspection data includes abnormal devices, the alarm module 302 directly performs alarm processing on newly warehoused but undetected devices; for abnormal equipment which is newly taken out of the warehouse but still detected by the inspection robot, firstly, issuing an instruction to the inspection robot, detecting the position of the detected equipment again, and if the equipment is still detected after secondary confirmation, performing alarm processing; and when existing equipment is detected but the robot is not detected, the background system controls the inspection robot to reach the position which appears last in the historical ledger of the equipment for detection, and if the equipment is not detected yet, alarm processing is carried out.
Optionally, the asset management platform further includes: the report generation module 303 is configured to generate an inventory report according to the asset inventory result;
after the asset management platform finishes the asset checking, the asset checking related report forms are generated to be checked by the staff, so that the repeated workload of the staff is greatly reduced, and the labor cost is reduced.
To sum up, the asset checking system provided in the embodiment of the present application includes: the system comprises an inspection robot, an inspection robot background and an asset management platform; the inspection robot includes: the system comprises a task acquisition module, a task processing module and a task processing module, wherein the task acquisition module is used for acquiring an asset inspection task, and the asset inspection task comprises an inspection map and an inspection place; the equipment detection module is used for acquiring identification information of equipment in the cabinet corresponding to the inspection place and acquiring equipment information according to the identification information; the information storage module is used for storing the equipment information to the background of the inspection robot; the asset management platform comprises: the asset checking module is used for acquiring the equipment information from the background of the inspection robot and comparing the equipment information with a preset asset ledger to obtain an asset checking result; the device detection module adopts the combination of the sliding table and the line array camera to acquire the array image required by the shielding removal algorithm, so that the data acquisition efficiency is ensured, and the data processing capacity of the system is reduced; the inspection robot has a shielding removing submodule capable of removing a shielding prospect, identification information of equipment in the cabinet is obtained by adopting a shielding removing algorithm, a mechanical arm does not need to be arranged on the robot to carry out cabinet door opening action, and the scheme implementation cost and potential safety hazards caused by misoperation are reduced; the asset management platform can automatically count and track the equipment assets in the data center, so that the labor cost is reduced, and the intelligent level of the data center is improved.
An embodiment of the present invention further provides a robot asset checking method, which is applied to any robot asset checking system provided in the foregoing embodiment, and with reference to fig. 5, the method includes:
step S501: and acquiring an asset inspection task, wherein the asset inspection task comprises an inspection map and an inspection place.
It can be understood that the asset inspection task needs to be acquired before the asset is checked, the asset inspection task at least comprises an inspection map and an inspection place, the inspection map is constructed for an internet data center corresponding to the asset inspection task, the inspection place comprises position information of equipment assets, which are to be checked by the asset inspection task, on the inspection map, and the corresponding assets can be checked according to the inspection map and the inspection place in the task after the asset inspection task is acquired.
Step S502: acquiring identification information of equipment in a cabinet corresponding to a routing inspection site, and acquiring equipment information according to the identification information;
specifically, obtaining the identification information of the equipment in the cabinet corresponding to the inspection location specifically may include:
determining a target area where identification information of equipment in a cabinet corresponding to a routing inspection place is located according to a preset first target detection algorithm;
specifically, the area with the identification information of the cabinet door grids is obtained through a preset first target detection algorithm, namely the target area, the shielding submodule 1021 is arranged to remove the shielding foreground according to a second target detection algorithm, namely the shielding of the cabinet door grids, and the inspection robot can conveniently obtain the identification information of the cabinet door.
Specifically, a preset first target detection algorithm may be trained based on the occluded data to provide a target region for the de-occlusion algorithm, where the target region includes a region with identification information, so as to reduce an area of an irrelevant region, reduce a data amount of a de-occlusion operation, and reduce processing overhead of a subsequent de-occlusion operation, and the first target detection algorithm may use an existing recognition algorithm, for example, a recognition algorithm based on a Histogram of Oriented Gradients (HOG), a recognition algorithm based on an LBP (Local Binary Pattern), which is not limited herein.
And obtaining identification information of equipment in the cabinet corresponding to the inspection place from the target area according to a second target detection algorithm, wherein the second target detection algorithm is a detection model obtained by training a shielding removal algorithm in advance.
Specifically, the second target detection algorithm may be based on a detection model obtained by a pre-training occlusion removal algorithm, wherein the material for model training may be obtained by shooting an image of the cabinet door, i.e., the detection model is obtained based on the occluded data training. The identification information of equipment in the cabinet is obtained by adopting the shielding removal algorithm, a mechanical arm does not need to be arranged on the robot to open the cabinet door, the cost for obtaining the identification information and the potential safety hazard caused by misoperation are reduced, it needs to be explained that the shielding removal algorithm can refer to the existing shielding removal algorithm, and the shielding removal algorithm is not expanded in the application.
Optionally, the device information may include: equipment number, equipment affiliated department, equipment locker entering time, equipment change record and equipment home position.
Step S503: comparing the equipment information with a preset asset account to obtain an asset checking result;
the preset asset ledger is asset list ledger information counted by internet data center workers, and after the asset inventory module receives patrol data collected by the patrol robot from the patrol robot background system, the asset inventory module compares the patrol data with the preset asset ledger to count the ex-warehouse and in-warehouse conditions and abnormal equipment of the current internet data center equipment assets.
Optionally, the method further includes: and when the asset checking result has abnormal equipment, alarming.
Optionally, the method further includes: and after the asset checking is finished, generating a corresponding checking report for the staff to check.
It should be noted that technical features included in the robot asset checking method provided in the embodiment of the present application correspond to those of the robot asset checking system provided in the foregoing embodiment, and for a description of the method, reference may be made to the foregoing embodiment of the system part, which is not described herein again.
To sum up, the robot asset checking method provided in the embodiment of the present application is applied to any asset checking system provided in the above embodiments, and the method includes: acquiring an asset inspection task, wherein the asset inspection task comprises an inspection map and an inspection place; acquiring identification information of equipment in a cabinet corresponding to a routing inspection site, and acquiring equipment information according to the identification information; and comparing the equipment information with a preset asset account to obtain an asset checking result. The device detection module adopts the combination of the sliding table and the line array camera to acquire the array image required by the shielding removal algorithm, so that the data acquisition efficiency is ensured, and the data processing capacity of the system is reduced; the inspection robot has a shielding removing submodule capable of removing a shielding prospect, identification information of equipment in the cabinet is obtained by adopting a shielding removing algorithm, a mechanical arm does not need to be arranged on the robot to carry out cabinet door opening action, and the scheme implementation cost and potential safety hazards caused by misoperation are reduced; the asset management platform can automatically count and track the equipment assets in the data center, so that the labor cost is reduced, and the intelligent level of the data center is improved.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
Those skilled in the art will appreciate that the flowchart shown in the figure is only one example in which the embodiments of the present application can be implemented, and the application scope of the embodiments of the present application is not limited in any way by the flowchart.
In the several embodiments provided in the present application, it should be understood that the disclosed method, apparatus, and device may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is only a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A robotic asset inventory system, the system comprising: the system comprises an inspection robot, an inspection robot background and an asset management platform;
the inspection robot includes:
the system comprises a task acquisition module, a task processing module and a task processing module, wherein the task acquisition module is used for acquiring an asset inspection task, and the asset inspection task comprises an inspection map and an inspection place;
the equipment detection module is used for acquiring identification information of equipment in the cabinet corresponding to the inspection place and acquiring equipment information according to the identification information;
the information storage module is used for storing the equipment information to the background of the inspection robot;
the asset management platform comprises:
and the asset checking module is used for acquiring the equipment information from the background of the inspection robot and comparing the equipment information with a preset asset account to obtain an asset checking result.
2. The system of claim 1, wherein the equipment inspection module comprises a slide table and a line array camera comprising a plurality of camera modules.
3. The system of claim 2, wherein the device detection module specifically comprises:
the target area determining submodule is used for determining a target area where the identification information of the equipment in the cabinet corresponding to the inspection place is located according to a preset first target detection algorithm;
the shielding removing submodule is used for obtaining identification information of equipment in the cabinet corresponding to the inspection place from the target area according to a second target detection algorithm, and the second target detection algorithm is a detection model obtained by training a shielding removing algorithm in advance;
and the identification sub-module is used for obtaining the equipment information according to the identification information.
4. The system of claim 1, wherein the device information comprises: equipment number, equipment affiliated department, equipment locker entering time, equipment change record and equipment home location.
5. The system of claim 1, wherein the asset management platform further comprises:
and the alarm module is used for giving an alarm when abnormal equipment exists in the asset inventory result.
6. The system of claim 1, wherein the asset management platform further comprises:
and the report generation module is used for generating an inventory report according to the asset inventory result.
7. A robotic asset inventory method, characterized in that said method is applied in a system according to any of claims 1-6, said method comprising:
acquiring an asset inspection task, wherein the asset inspection task comprises an inspection map and an inspection place;
acquiring identification information of equipment in a cabinet corresponding to the inspection place, and acquiring equipment information according to the identification information;
and comparing the equipment information with a preset asset account to obtain an asset checking result.
8. The method according to claim 7, wherein the obtaining of the identification information of the equipment in the cabinet corresponding to the inspection location comprises:
determining a target area where the identification information of the equipment in the cabinet corresponding to the inspection place is located according to a preset first target detection algorithm;
and obtaining the identification information of the equipment in the cabinet corresponding to the routing inspection place from the target area according to a second target detection algorithm, wherein the second target detection algorithm is a detection model obtained by training through a shielding removal algorithm in advance.
9. The method of claim 7, wherein the device information comprises: equipment number, equipment affiliated department, equipment locker entering time, equipment change record and equipment home location.
10. The method of claim 7, further comprising:
and when the asset checking result has abnormal equipment, alarming.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116542610A (en) * | 2023-07-04 | 2023-08-04 | 北京华源技术有限公司 | Non-contact automatic in-cabinet asset counting device, method and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116542610A (en) * | 2023-07-04 | 2023-08-04 | 北京华源技术有限公司 | Non-contact automatic in-cabinet asset counting device, method and storage medium |
| CN116542610B (en) * | 2023-07-04 | 2023-09-08 | 北京华源技术有限公司 | Non-contact automatic in-cabinet asset counting device, method and storage medium |
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