CN115965904A - Low-altitude operation early warning method and device, computer equipment and storage medium - Google Patents
Low-altitude operation early warning method and device, computer equipment and storage medium Download PDFInfo
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- CN115965904A CN115965904A CN202211215385.4A CN202211215385A CN115965904A CN 115965904 A CN115965904 A CN 115965904A CN 202211215385 A CN202211215385 A CN 202211215385A CN 115965904 A CN115965904 A CN 115965904A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract
The application relates to a low-altitude operation early warning method, a low-altitude operation early warning device, a computer device, a storage medium and a computer program product. The method comprises the following steps: acquiring a warehouse operation image acquired by a camera in real time; identifying operation data in the storehouse operation image; when the operation data comprises an operator and at least one of a forklift and a file shelf area, marking all the identified operation data as operation characteristics; judging whether the operation characteristics have risk information or not; and if the risk information exists, reporting to a manager and/or giving an alarm to the operator. By adopting the method, whether the operation behavior of the operating personnel is standard or not can be judged in real time, when the existence of the preset potential safety hazard is found, the operation correction can be timely and early warned for the operating personnel, and the safety risk caused by illegal operation is timely and effectively avoided while the personnel resources for inspection are reduced.
Description
Technical Field
The present application relates to the field of security early warning technologies, and in particular, to a low-altitude operation early warning method, apparatus, computer device, storage medium, and computer program product.
Background
At present, the warehouse operation is still mainly manual operation, and for a large number of paper files which are not frequently read, a plurality of files are generally boxed and then put on a shelf for storage in the warehouse in which a large number of file data are stored. The storage mode is a mainstream storage mode in enterprises with large file generation quantity such as banks, enterprises and public institutions and the like. When the scheme data below one meter and five heights are taken and put, the forklift is used for low-altitude operation, and in the process, an operator can cause operation accidents due to improper use of the forklift or be fallen down and injured by high-rise archives. Therefore, in order to ensure the working safety of the operator, the operation behavior of the operator needs to be regulated and restricted.
At present, the method for solving the problems is to standardize the operation behaviors of operators through a system or inspection, for example, some enterprises can regularly check the monitoring video in a warehouse in a spot mode to check whether the violation phenomenon exists. However, the above-mentioned security education and management can be performed only by means of the self-security awareness and the self-consciousness of the warehouse operators and after the non-compliant operation is found in the spot check process of the monitored video, so that the security accident is difficult to be effectively prevented, and the security risk caused by the illegal operation is difficult to be effectively avoided in time.
Disclosure of Invention
In view of the foregoing, there is a need to provide a low-altitude job warning method, device, computer readable storage medium, and computer program product, which can effectively and timely avoid security risk caused by illegal operations.
In a first aspect, the application provides a low-altitude operation early warning method. The method comprises the following steps:
acquiring a warehouse operation image acquired by a camera in real time;
identifying operation data in the storehouse operation image;
when the operation data comprises an operator and at least one of a forklift and a file shelf area, marking all the identified operation data as operation characteristics;
judging whether the operation characteristics have risk information or not;
and if the risk information exists, reporting to a manager and/or giving an alarm to the operator.
In one embodiment, the identifying the job data in the warehouse job image includes:
identifying an operator in the warehouse operation image and identifying at least one of the forklift and the archival shelf area;
when the operating personnel is identified, and at least one of the forklift and the file shelf area is identified, the safety helmet, the forklift and the carrying file within the preset range around the operating personnel are identified, and the carrying file is the file which is not in the file shelf area.
In one embodiment, the determining whether the job feature has risk information includes:
determining a preset working model corresponding to the operation characteristics;
and comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risk information.
In one embodiment, the determining the preset work model corresponding to the job feature includes:
when the operation data comprise an operator and an archive shelf area, marking all the identified operation data as operation characteristics, and determining that a preset work model corresponding to the operation characteristics is a first preset model, wherein the first preset model comprises the archive shelf area, the operator and the safety helmet, the operator is in the archive shelf area, and the head of the operator wears the safety helmet;
the comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risks comprises:
and comparing the operation characteristics with the first preset model to judge whether the operation characteristics have the risk that the head of the operator in the file shelf area is not provided with a safety helmet.
In an embodiment, the determining the preset work model corresponding to the operation feature further includes:
when the operation data comprise an operator and a forklift, marking all the identified operation data as operation characteristics, and determining that a preset working model corresponding to the operation characteristics is a second preset model, wherein the second preset model comprises the forklift, the operator and the safety helmet, and the operator pushes the forklift and wears the safety helmet on the head of the operator;
the comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risks further comprises:
and comparing the operation characteristics with the second preset model to judge whether the operation characteristics have the risk that the head of an operator pushing the forklift does not wear a safety helmet.
In one embodiment, when the operational data includes an operator, a handling profile, and a forklift, the determining whether the operational characteristic is at risk further includes:
measuring the height of the carrying file stacked on the forklift;
when the carrying files are stacked on two sides of the forklift, measuring the heights of the two sides of the carrying files stacked on the forklift and acquiring the height difference of the heights of the two sides;
and when the height is greater than a first preset value and/or the height difference is greater than a second preset value, judging that the operation characteristics have risk information.
In a second aspect, the application further provides a low-altitude operation early warning device. The device comprises:
the collection module is used for acquiring the warehouse operation image collected by the camera in real time;
the identification module is used for identifying the operation data in the storehouse operation image;
a marking model module for marking all the identified operation data as operation features when the operation data comprises an operator and at least one of a forklift and a file shelf area;
the judging module is used for judging whether the operation characteristics have risk information or not;
and the execution module is used for reporting to a manager and/or giving an alarm to the operator when risk information exists.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes any step of the above embodiments when executing the computer program.
In a fourth aspect, the present application further provides a computer-readable storage medium. The computer readable storage medium has a computer program stored thereon, and the computer program realizes any one of the steps in the above embodiments when executed by a processor.
In a fifth aspect, the present application further provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, performs any of the steps of the embodiments described above.
According to the low-altitude operation early warning method, the low-altitude operation early warning device, the computer equipment, the storage medium and the computer program product, the working state of the operating personnel in the storehouse can be detected in real time, whether the operating behavior of the operating personnel is standard or not can be judged in real time, when the existence of the preset potential safety hazard is found, the operating personnel can be early warned in time to carry out operation correction, and the safety risk brought by illegal operation can be effectively avoided in time while the number of patrol personnel resources is reduced.
Drawings
Fig. 1 is a schematic flow chart of a low-altitude operation early warning method according to an embodiment;
fig. 2 is a block diagram showing a structure of a low-altitude operation warning device according to an embodiment;
FIG. 3 is a diagram of the internal structure of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
As shown in fig. 1, a low-altitude early warning method is provided, and this embodiment is illustrated by applying the method to a terminal, it can be understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and is implemented by interaction between the terminal and the server. In this embodiment, the method includes the steps of:
And 102, identifying the operation data in the storehouse operation image.
Wherein the operational data includes, but is not limited to, the operator's head, the transport file, the file rack, the file, the forklift, the hard hat, the file rack area, the operator's head wearing the hard hat, the operator pushing the forklift.
And 103, when the operation data comprise an operator and at least one of a forklift and a file shelf area, marking all the identified operation data as operation characteristics.
For example, when a worker pushes a forklift truck, all the job data in the work scene are identified, and all the identified job data are marked as job features including the worker, the forklift truck, and other job data. Similarly, the operation data marked as operation features also includes the operation scenes of the operator in the area of the file rack, such as transporting and carrying files. By the scheme, the working scene of the operator can be accurately locked, and effective operation characteristics are marked.
And 104, judging whether the job characteristics have risk information or not.
And 105, if the risk information exists, reporting to a manager and/or giving an alarm to the operator.
The method for reporting to the administrator includes but is not limited to sending an information prompt to a mobile phone of the administrator and sending a popup prompt at a terminal; the method for alarming the operator includes, but is not limited to, associating a plurality of speakers with a terminal and a warehouse, and reminding the operator according to a certain time period through the speakers, where the content of the reminding may be the position where the designated operator is located, and indicating an improper operation behavior, for example, when it is found that a certain operator does not wear a safety helmet, sending a reminder by calling the speakers: the operator who is located in row 101 goods shelves district of goods shelves A,5 asks you to wear the safety helmet well. And (4) identifying the operation after detection after 30s, and calling the loudspeaker again to remind if the operation is not corrected.
According to the low-altitude operation early warning method, the operation data is obtained through the storehouse operation image, the operation characteristics are further marked, the operation characteristics are compared with the preset scene model, whether the operation of an operator is standard during storehouse operation can be judged efficiently in real time, if the operation is not standard, a manager and/or the operator are notified, on one hand, the operator can correct own operation behaviors in time, on the other hand, the manager can also know the operation condition of the storehouse operator remotely, the warehouse patrol is not needed to be spent for a large amount of time, and the operation risk can be effectively avoided while the time cost is saved.
In one embodiment, the identifying job data in the warehouse job image includes:
identifying an operator in the warehouse operation image and identifying at least one of the forklift and the archival shelf area;
when the operator is identified and at least one of the forklift and the file shelf area is identified, identifying safety helmets, forklifts and carrying files within a preset range surrounding the operator, wherein the carrying files are files not located in the file shelf area, and marking the identified operation data as operation characteristics.
In this embodiment, adopt the safety helmet of unified shape colour, can promote recognition efficiency, increase the recognition accuracy degree, help promoting the speed that the model found.
In one embodiment, the operation data of various types may also be pre-stored in the terminal memory to accurately identify and construct the model.
In one embodiment, the determining whether the job feature has risk information includes:
determining a preset working model corresponding to the operation characteristics;
and comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risk information.
In this embodiment, predetermine the working model and can predetermine according to the enterprise operation standard of difference, through discerning the operation data of gathering in real time, when discerning and predetermine the scene, mark all operation data under this scene as the operation characteristic, and will the operation characteristic contrasts with predetermineeing the working model, and through above-mentioned scheme, whether operation that can the rapid judgement operation personnel is normal, has improved monitoring efficiency greatly.
In one embodiment, the determining the preset work model corresponding to the job feature includes: work as when operation data includes that operating personnel and archives goods shelves are regional, and mark all operation data discerned as the operation characteristic, and confirm the predetermined work model that the operation characteristic corresponds is first predetermined model, first predetermined model includes archives goods shelves are regional the operating personnel with the safety helmet, the operating personnel is in archives goods shelves are regional, just the head of operating personnel is worn the safety helmet.
The step of comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risks comprises the following steps: and comparing the operation characteristics with the first preset model to judge whether the operation characteristics have the risk that the head of the operator in the file shelf area is not provided with a safety helmet or not.
In the present embodiment, the lock operation scene is that the operator performs the operation in the shelf area, and therefore the first preset model is set such that the operator needs to wear a safety helmet when performing the operation in the shelf area. When the operation characteristics of the marks include but are not limited to the file shelf area, the operator and the safety helmet, the operator is located in the file shelf area, the head of the operator is worn with the safety helmet, the working scene is also considered to accord with a first preset model, through the scheme, whether the operator normally wears the safety helmet during operation in the file shelf area can be rapidly monitored, and the monitoring efficiency of normal operation of the operator in the scene is improved.
In one embodiment, the determining the preset work model corresponding to the job feature further includes:
when the operation data comprise an operator and a forklift, marking all the identified operation data as operation characteristics, and determining that a preset working model corresponding to the operation characteristics is a second preset model, wherein the second preset model comprises the forklift, the operator and the safety helmet, and the operator pushes the forklift and wears the safety helmet on the head of the operator;
the comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risks further comprises:
and comparing the operation characteristics with the second preset model to judge whether the operation characteristics have the risk that the head of an operator pushing the forklift does not wear a safety helmet or not.
In this embodiment, the locking monitoring scenario is that the operator is pushing the forklift, so the second preset model is set to standardize wearing the safety helmet when the operator pushes the forklift. Through above-mentioned scheme, whether the operating personnel in the operation characteristic has the helmet of wearing as required when promoting fork truck of accurate definite operation, effectively avoided the operating personnel the safety risk that probably exists when promoting fork truck.
In one embodiment, when the operational data includes an operator, a handling profile, and a forklift, marking all of the identified operational data as operational characteristics, the determining whether the operational characteristics are at risk further includes:
measuring the height at which the carrying profile is stacked on the forklift;
when the carrying files are stacked on two sides of the forklift, measuring the heights of the two sides of the carrying files stacked on the forklift and acquiring the height difference of the heights of the two sides;
and when the height is greater than a first preset value and/or when the height difference is greater than a second preset value, judging that the operation characteristics have risk information.
In this embodiment, a normal work scene is also preset such that the height of the stacked carrying files cannot exceed the first preset value and the difference in height between the two sides cannot exceed the second preset value when the carrying files are stacked on the forklift in two sides. For example, when the height of the carrying files stacked on the forklift exceeds 1.5 meters or exceeds 5 layers of carrying files, and/or when the height of the files carried on one side exceeds 60 centimeters on the other side (the height difference is not more than 2 layers of carrying files), an early warning is given out so as to prevent the counter weight from uniformly tilting, falling, injuring staff and damaging files, and also prevent the counter weight from falling, injuring staff and damaging files.
It should be understood that, although the steps in the flowcharts related to the embodiments as described above are sequentially displayed as indicated by arrows, the steps are not necessarily performed sequentially as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a part of the steps in the flowcharts related to the embodiments described above may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, and the execution order of the steps or stages is not necessarily sequential, but may be rotated or alternated with other steps or at least a part of the steps or stages in other steps.
Based on the same inventive concept, the embodiment of the application also provides a low-altitude operation early warning device for realizing the low-altitude operation early warning method. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the method, so the specific limitations in the low altitude operation early warning device embodiment provided below can be referred to the limitations on the low altitude operation early warning method in the above, and details are not described here.
In one embodiment, as shown in fig. 2, there is provided a low-altitude operation early warning device, including: the system comprises an acquisition module 110, an identification module 210, a model building module 310, a judgment module 410 and an execution module 510, wherein:
and the acquisition module 110 is used for acquiring the warehouse operation image acquired by the camera in real time.
The identification module 210 is configured to identify job data in the warehouse job image.
A marking module 310 configured to mark all of the identified operational data as operational characteristics when the operational data includes an operator and includes at least one of a forklift and a file rack area.
A determining module 410, configured to determine whether risk information exists in the job feature.
And the execution module 510 is configured to report to a manager and/or give an alarm to the operator when risk information exists.
In one embodiment, the identification module 210 further comprises:
a first identification unit for identifying an operator in the warehouse operation image and identifying at least one of the forklift and the archive shelf area;
and the second identification unit is used for identifying safety helmets, forklifts and carrying files in a preset range around the operating personnel when the operating personnel is identified and at least one of the forklifts and the file shelf area is identified, and the carrying files are files which are not in the file shelf area.
In one embodiment, the determining module 410 further comprises:
and the first determining unit is used for determining a preset working model corresponding to the operation characteristics.
And the first comparison unit is used for comparing the operation characteristics with a preset working model so as to judge whether the operation characteristics have risk information.
In one embodiment, the first determining unit is further configured to mark all the identified operation data as operation features when the operation data includes an operator and an archive shelf area, and determine that a preset operation model corresponding to the operation features is a first preset model, where the first preset model includes the archive shelf area, the operator and the safety helmet, the operator is in the archive shelf area, and the safety helmet is worn on the head of the operator.
In one embodiment, the first determining unit is further configured to mark all the identified operation data as operation features when the operation data includes an operator and a forklift, and determine that a preset operation model corresponding to the operation features is a second preset model, where the second preset model includes the forklift, the operator and the safety helmet, and the operator pushes the forklift and wears the safety helmet on the head of the operator.
In one embodiment, the first comparison unit is further configured to compare the operation characteristic with the first preset model to determine whether the operation characteristic risks that the head of the operator in the storage shelf area is not wearing a safety helmet.
In one embodiment, the first comparison unit is further configured to compare the operation characteristic with the second preset model to determine whether the operation characteristic risks that the head of the operator pushing the forklift is not wearing a safety helmet.
In one embodiment, the determining module 410 further comprises:
a first measuring unit for measuring the height at which the handling profile is stacked on the forklift.
And the second measuring unit is used for measuring the heights of the two sides of the transport file stacked on the forklift and acquiring the height difference of the heights of the two sides when the transport file is stacked on the two sides of the forklift.
And the first judging unit is used for judging that the operation characteristics have risk information when the height is greater than a first preset value and/or when the height difference is greater than a second preset value.
All or part of the modules in the low-altitude operation early warning device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 3. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used for communicating with an external terminal in a wired or wireless manner, and the wireless manner can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a low-altitude job warning method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the configuration shown in fig. 3 is a block diagram of only a portion of the configuration associated with the present application, and is not intended to limit the computing device to which the present application may be applied, and that a particular computing device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the above-described method embodiments when executing the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
In an embodiment, the computer program, when executed by the processor, further performs the steps of the above-described method embodiments.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, carries out the steps of the above-described method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above may be implemented by hardware instructions of a computer program, which may be stored in a non-volatile computer-readable storage medium, and when executed, may include the processes of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), for example. The databases referred to in various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the various embodiments provided herein may be, without limitation, general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, or the like.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.
Claims (10)
1. A low-altitude operation early warning method is characterized by comprising the following steps:
acquiring a warehouse operation image acquired by a camera in real time;
identifying operation data in the storehouse operation image;
when the operation data comprises an operator and at least one of a forklift and a file shelf area, marking all the identified operation data as operation characteristics; judging whether the operation characteristics have risk information or not;
and if the risk information exists, reporting to a manager and/or giving an alarm to the operator.
2. The method of claim 1, wherein the identifying job data in the warehouse job image comprises:
identifying an operator in the warehouse operation image and identifying at least one of the forklift and the archival shelf area;
when the operating personnel is identified, and at least one of the forklift and the file shelf area is identified, the safety helmet, the forklift and the carrying file within the preset range around the operating personnel are identified, and the carrying file is the file which is not in the file shelf area.
3. The method of claim 2, wherein the determining whether the job feature is at risk comprises:
determining a preset working model corresponding to the operation characteristics;
and comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risk information or not.
4. The method according to claim 3, wherein the determining the preset work model corresponding to the operation characteristic comprises:
when the operation data comprise an operator and an archive shelf area, marking all the identified operation data as operation characteristics, and determining that a preset operation model corresponding to the operation characteristics is a first preset model, wherein the first preset model comprises the archive shelf area, the operator and the safety helmet, the operator is in the archive shelf area, and the head of the operator wears the safety helmet;
the comparing the operation characteristics with a preset working model to judge whether the operation characteristics have risks comprises:
and comparing the operation characteristics with the first preset model to judge whether the operation characteristics have the risk that the head of the operator in the file shelf area is not provided with a safety helmet or not.
5. The method of claim 3, wherein said determining a preset work model corresponding to said operational characteristics further comprises:
when the operation data comprise an operator and a forklift, marking all the identified operation data as operation characteristics, and determining that a preset working model corresponding to the operation characteristics is a second preset model, wherein the second preset model comprises the forklift, the operator and the safety helmet, and the operator pushes the forklift and wears the safety helmet on the head of the operator;
the comparing the operation characteristics with preset operation characteristics to judge whether the operation characteristics have risks further comprises:
and comparing the operation characteristics with the second preset model to judge whether the operation characteristics have the risk that the head of an operator pushing the forklift does not wear a safety helmet.
6. The method of claim 5, wherein when the operational data includes operator, handling profile, and forklift, marking all of the identified operational data as operational characteristics, and wherein said determining if the operational characteristics are at risk further comprises:
measuring the height at which the carrying profile is stacked on the forklift;
when the carrying files are stacked on two sides of the forklift, measuring the heights of the two sides of the carrying files stacked on the forklift and acquiring the height difference of the heights of the two sides;
and when the height is greater than a first preset value and/or the height difference is greater than a second preset value, judging that the operation characteristics have risk information.
7. A low-altitude operation early warning device is characterized by comprising:
the collection module is used for acquiring the warehouse operation image collected by the camera in real time;
the identification module is used for identifying the operation data in the storehouse operation image;
the marking module is used for marking all the identified operation data as operation characteristics when the operation data comprise operation personnel and at least one of a forklift and a file shelf area;
the judging module is used for judging whether the operation characteristics have risk information or not;
and the execution module is used for reporting to a manager and/or giving an alarm to the operator when risk information exists.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 6.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 6 when executed by a processor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211215385.4A CN115965904A (en) | 2022-09-30 | 2022-09-30 | Low-altitude operation early warning method and device, computer equipment and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211215385.4A CN115965904A (en) | 2022-09-30 | 2022-09-30 | Low-altitude operation early warning method and device, computer equipment and storage medium |
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| CN202211215385.4A Pending CN115965904A (en) | 2022-09-30 | 2022-09-30 | Low-altitude operation early warning method and device, computer equipment and storage medium |
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