Workshop monitoring method, device and equipment based on digital twinning and storage medium

Through digital twin -based workshop monitoring methods, in real time monitoring the current and temperature in the AGV charging process, safety analysis and workshop monitoring have solved the problem of unable to achieve real -time intelligence monitoring of existing technology, and improved the safety of the charging workshop.

CN119376302APending Publication Date: 2025-01-28GEER TECH CO LTD
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Patent Information

Application Number
CN202411412929.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-10
Publication Date
2025-01-28

AI Technical Summary

Technical Problem

The existing AGV charging zone temperature monitoring system cannot achieve real-time intelligent monitoring and management, and cannot effectively reduce fire risks.

Method used

The workshop monitoring method based on digital twins is used to respond to the charging request of AGV, generate charging startup instructions, send to the time control integrated device for charging, and feedback the charging current and workshop temperature data for safety analysis and workshop monitoring.

Benefits of technology

The intelligent and comprehensive monitoring and management of the charging workshop where AGV is located has been realized, and the environmental safety of the charging workshop is improved, and the risk of hazardous accidents has been reduced.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a workshop monitoring method, device and equipment based on digital twinning and a storage medium, and relates to the technical field of digital twinning, and the method is applied to a digital twinning system, and comprises the steps: responding to a charging request of an automatic guided vehicle, and generating a charging starting instruction according to a target charging duration; a charging starting instruction is sent to the time control integrated device, and the time control integrated device carries out charging according to the charging starting instruction and feeds back charging current in the charging process; and performing safety analysis on the charging workshop according to the charging current, the charging duration and workshop temperature data fed back by the temperature sensing device to obtain a safety analysis result, thereby performing workshop monitoring on the charging workshop where the automated guided vehicle is located. Through the above mode, intelligent omnibearing monitoring and management of the charging workshop where the automated guided vehicle is located are realized, the environmental safety of the charging workshop is effectively improved, and the occurrence risk of dangerous accidents is reduced.
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Description

Technical Field

[0001] The present application relates to the field of digital twin technology, and in particular to a workshop monitoring method, device, equipment and storage medium based on digital twin. Background Art

[0002] Automated Guided Vehicles (AGVs) are commonly used for material handling and production support. AGVs usually use lithium batteries as a driving energy source and need to be charged regularly. Safety monitoring during the charging process is essential. Overcharging or other reasons may cause abnormal temperatures, which may damage the battery or even cause a fire. A real-time temperature monitoring system can effectively reduce the risk of fire. However, the current AGV charging area temperature monitoring system still has shortcomings and cannot achieve real-time intelligent monitoring and management. Summary of the invention

[0003] The main purpose of this application is to provide a workshop monitoring method, device, equipment and storage medium based on digital twins, aiming to solve the technical problem that the existing technology cannot intelligently monitor and manage the charging workshop where the AGV is located.

[0004] To achieve the above objectives, the present application proposes a workshop monitoring method based on digital twins, which is applied to a digital twin system. The workshop monitoring method based on digital twins includes:

[0005] In response to a charging request of the automatic guided vehicle, generating a charging start instruction according to a target charging duration of the automatic guided vehicle;

[0006] Sending the charging start instruction to the time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process;

[0007] Performing a safety analysis of the charging workshop according to the charging current, the charging duration, and the workshop temperature data fed back by the temperature sensing device to obtain a safety analysis result;

[0008] The charging workshop where the automatic guided vehicle is located is monitored according to the safety analysis result.

[0009] In one embodiment, the step of performing safety analysis on the charging workshop according to the charging current, charging duration, and workshop temperature data fed back by the temperature sensing device to obtain the safety analysis result includes:

[0010] Comparing the charging current with a current threshold to obtain a first comparison result;

[0011] Comparing the charging duration with the target charging duration to obtain a second comparison result;

[0012] Determine a third comparison result according to the workshop temperature data fed back by the temperature sensing device and the target temperature threshold;

[0013] A safety analysis result is determined according to the first comparison result, the second comparison result, and the third comparison result.

[0014] In one embodiment, the step of determining the third comparison result according to the workshop temperature data fed back by the temperature sensing device and the target temperature threshold comprises:

[0015] Determine the charging area temperature corresponding to the vehicle charging area in the charging workshop and the workshop ambient temperature of the charging workshop according to the workshop temperature data fed back by the temperature sensing device;

[0016] Comparing the charging area temperature with the area temperature threshold in the target temperature threshold to obtain a fourth comparison result;

[0017] Comparing the workshop ambient temperature with the ambient temperature threshold in the target temperature threshold to obtain a fifth comparison result;

[0018] When the fourth comparison result is a high-temperature power-off result and the fifth comparison result is an over-temperature warning result, it is determined that the third comparison result is a high-temperature power-off result.

[0019] In one embodiment, the step of determining the security analysis result according to the first comparison result, the second comparison result and the third comparison result comprises:

[0020] When a preset power-off result exists in the first comparison result, the second comparison result, and the third comparison result, determining that the safety analysis result is a workshop power-off result;

[0021] When there is no preset power-off result in the first comparison result, the second comparison result and the third comparison result and there is a preset warning result in the first comparison result, the second comparison result and the third comparison result, it is determined that the safety analysis result is a workshop warning result.

[0022] In one embodiment, the step of performing workshop monitoring on the charging workshop where the automatic guided vehicle is located according to the safety analysis result includes:

[0023] When the safety analysis result is a power outage in the workshop, generating a charging end instruction and an alarm message;

[0024] Sending the charging end instruction to the time control integrated device, so that the time control integrated device ends charging according to the charging end instruction;

[0025] The alarm information is sent to the user's terminal to issue a workshop safety alarm.

[0026] In one embodiment, after the step of performing workshop monitoring on the charging workshop where the automatic guided vehicle is located according to the safety analysis result, the step further includes:

[0027] According to the charging current, charging duration and workshop temperature data fed back by the temperature sensing device, data integration is performed on the virtual workshop model corresponding to the charging workshop to obtain a target workshop model;

[0028] Anomaly marking the integrated data in the target workshop model according to the safety analysis result to obtain a monitoring workshop model;

[0029] The monitoring workshop model is pushed to the display interface for status display.

[0030] In one embodiment, the step of generating a charging start instruction according to a target charging duration of the automatic guided vehicle in response to a charging request of the automatic guided vehicle comprises:

[0031] In response to a charging request of the automatic guided vehicle, obtaining a remaining power of the automatic guided vehicle;

[0032] Determine a target charging time according to the remaining power and the charging power;

[0033] A charging start instruction is generated according to the target charging duration.

[0034] In addition, to achieve the above purpose, the present application also proposes a workshop monitoring device based on digital twins, and the workshop monitoring device based on digital twins includes:

[0035] A generating module, configured to generate a charging start instruction in response to a charging request of the automatic guided vehicle according to a target charging duration of the automatic guided vehicle;

[0036] A sending module, used for sending the charging start instruction to the time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process;

[0037] An analysis module, configured to perform a safety analysis of the charging workshop according to the charging current, the charging duration, and the workshop temperature data fed back by the temperature sensing device, and obtain a safety analysis result;

[0038] A monitoring module is used to monitor the charging workshop where the automatic guided vehicle is located according to the safety analysis result.

[0039] In addition, to achieve the above-mentioned objectives, the present application also proposes a workshop monitoring device based on digital twins, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the workshop monitoring method based on digital twins as described above.

[0040] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the workshop monitoring method based on digital twins as described above are implemented.

[0041] In addition, to achieve the above-mentioned objectives, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the digital twin-based workshop monitoring method as described above.

[0042] The method of the present application is applied to a digital twin system, and the method includes: in response to a charging request of an automatic guided vehicle, generating a charging start instruction according to the target charging duration of the automatic guided vehicle; sending the charging start instruction to a time control integrated device, so that the time control integrated device charges according to the charging start instruction, and feeds back the charging current during the charging process; performing a safety analysis of the charging workshop according to the charging current, the charging duration, and the workshop temperature data fed back by the temperature sensing device, and obtaining a safety analysis result; and monitoring the charging workshop where the automatic guided vehicle is located according to the safety analysis result. Through the above method, the intelligent all-round monitoring and management of the charging workshop where the automatic guided vehicle is located is realized, which effectively improves the environmental safety of the charging workshop and reduces the risk of dangerous accidents. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0045] Figure 1 A flow chart of the first embodiment of the workshop monitoring method based on digital twins of the present application;

[0046] Figure 2A schematic diagram of temperature monitoring of a workshop monitoring method based on digital twins provided in Example 1 of the present application;

[0047] Figure 3 A flow chart of the second embodiment of the workshop monitoring method based on digital twins provided in this application;

[0048] Figure 4 This is a schematic diagram of the module structure of a workshop monitoring device based on digital twins according to an embodiment of the present application;

[0049] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the workshop monitoring method based on digital twins in an embodiment of the present application.

[0050] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0052] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0053] The main solution of the embodiment of the present application is: in response to a charging request of an automatic guided vehicle, a charging start instruction is generated according to the target charging duration of the automatic guided vehicle; the charging start instruction is sent to a time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process; a safety analysis of the charging workshop is performed based on the charging current, charging duration and workshop temperature data fed back by a temperature sensing device to obtain a safety analysis result; and workshop monitoring of the charging workshop where the automatic guided vehicle is located is performed based on the safety analysis result.

[0054] The current AGV charging area temperature monitoring system still has shortcomings and cannot achieve real-time intelligent monitoring and management.

[0055] The present application provides a solution that realizes intelligent and all-round monitoring and management of the charging workshop where the automated guided vehicle is located, effectively improving the environmental safety of the charging workshop and reducing the risk of dangerous accidents.

[0056] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or a workshop monitoring device based on digital twins that can realize the above functions. The following takes the workshop monitoring device based on digital twins as an example of the execution subject to illustrate this embodiment and the following embodiments.

[0057] Based on this, the embodiment of the present application provides a workshop monitoring method based on digital twins, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the workshop monitoring method based on digital twins of the present application.

[0058] In this embodiment, the workshop monitoring method based on digital twin is applied to the digital twin system, and the method includes steps S10 to S40:

[0059] Step S10, in response to a charging request of the automated guided vehicle, generating a charging start instruction according to a target charging duration of the automated guided vehicle.

[0060] It should be noted that a digital twin system is built in the workshop monitoring device based on digital twin in this embodiment. The digital twin system builds a digital twin model corresponding to the charging workshop based on the acquired image information and collected data of the charging workshop. The digital twin model can display various operating data of the charging workshop and the charging status of the AGV in real time. In this embodiment, the charging workshop is the charging workshop where the AGV is located, and the workshop contains the charging area of ​​the AGV. The digital twin model corresponding to the charging workshop is the virtual workshop model.

[0061] It is understandable that after being powered, the AGV will automatically drive into the charging area of ​​the charging workshop, dock with the charging equipment in the charging area, and then send a charging request to the digital twin system. At this time, the digital twin request will generate a charging start instruction based on the target charging duration. In this embodiment, the target charging duration refers to the duration of this charging set for the AGV; the target charging duration can be determined based on the remaining power of the AGV, or the user can set the target charging duration for each time. This embodiment does not limit the method for determining the target charging duration.

[0062] In a feasible implementation, step S10 may include steps A11 to A13:

[0063] Step A11, in response to a charging request of the automatic guided vehicle, obtaining the remaining power of the automatic guided vehicle.

[0064] Step A12, determining a target charging time according to the remaining power and the charging power.

[0065] Step A13: generating a charging start instruction according to the target charging duration.

[0066] It should be noted that upon receiving a charging request from the AGV, the digital twin system will obtain the remaining power of the AGV, calculate the difference between the remaining power and the target power, and calculate the duration by using the charging power and power difference provided by the charging area of ​​the charging workshop, and determine the target charging duration, thereby generating a charging start instruction containing the target charging duration. In this embodiment, the target power can be set to the rated power of the AGV battery, or to a certain intermediate value, which is not limited in this embodiment.

[0067] Step S20, sending the charging start instruction to the time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process.

[0068] It should be noted that the time control integrated device refers to a time control switch device with a microprocessor in the charging area of ​​the charging workshop. The time control integrated device is connected to the charging equipment in the charging area and can monitor the charging current generated during the charging process in real time.

[0069] It is understandable that the digital twin system sends the charging start instruction to the time control integrated device, which turns on the power to charge the AGV and controls the power to disconnect according to the target charging time included in the charging start instruction. During the charging process, the time control integrated device monitors the charging current in real time and feeds back the charging current to the digital twin system.

[0070] Step S30, performing a safety analysis of the charging workshop according to the charging current, the charging duration, and the workshop temperature data fed back by the temperature sensing device to obtain a safety analysis result.

[0071] It should be noted that the temperature sensing device in this embodiment refers to a temperature sensing camera with a built-in thermal imager. The temperature sensing device is located in the charging workshop and can obtain the charging area temperature of the charging area in the charging workshop and the workshop ambient temperature corresponding to the environment outside the charging area in the charging workshop. Figure 2 As shown, 29.6°C is the charging area temperature, and 15.2°C is the workshop ambient temperature. In this embodiment, the workshop temperature data includes the charging area temperature and the workshop ambient temperature. After charging starts, the temperature sensing device will monitor the workshop temperature data in real time and transmit the workshop temperature data to the digital twin system.

[0072] It is understandable that the digital twin system analyzes the charging current, charging duration and workshop temperature data to determine whether there is a charging timeout, excessive current, or abnormal temperature, and obtains the corresponding safety analysis results based on the current situation. In this embodiment, the safety analysis results include normal charging results, workshop power-off results, and workshop warning results. When no abnormal situation occurs, the safety analysis result is a normal charging result, and charging is maintained at this time; when any abnormal situation occurs, such as charging timeout, excessive current, and the temperature of the charging area exceeds the set safety threshold, the safety analysis result is a workshop power-off result, and the digital twin system sends a signal to the time control integrated device to cut off the power supply and forcefully terminate the charging process; when any abnormal situation occurs, such as the temperature of the charging area exceeds the set warning temperature threshold, the ambient temperature of the workshop exceeds the set ambient temperature threshold, the fluctuation range of the temperature of the charging area is too large, and the fluctuation range of the ambient temperature of the workshop is too large, the safety analysis result is a workshop warning result, and charging is maintained at this time, but the digital twin system will generate an alarm message and push it.

[0073] Step S40: Perform workshop monitoring on the charging workshop where the automatic guided vehicle is located according to the safety analysis result.

[0074] It should be noted that the workshop monitoring of the charging workshop where the AGV is located is realized through the safety analysis results. The various data involved in the charging workshop will be displayed in real time at the corresponding position of the virtual workshop model through the display interface, and the data will be updated in real time. At the same time, after the charging is completed, the AGV enters the line body work, and the digital twin system will generate and save the charging report based on the various data collected during this charging process. The digital twin system will store the historical temperature data, charging records and various data of the charging workshop where the AGV is located, and generate an analysis report according to the preset time interval. In this embodiment, the preset time interval can be set to one month, or it can be set to other times according to needs, and this embodiment does not limit this.

[0075] In a feasible implementation, step S40 may include steps B11 to B13:

[0076] Step B11, when the safety analysis result is a workshop power outage result, generate a charging end instruction and an alarm message.

[0077] Step B12, sending the charging end instruction to the time control integrated device, so that the time control integrated device ends charging according to the charging end instruction.

[0078] Step B13, sending the alarm information to the user's terminal to issue a workshop safety alarm.

[0079] It should be noted that when the safety analysis result is a power outage in the workshop, it indicates that one or more abnormal conditions have occurred, including charging timeout, excessive current, and the temperature in the charging area exceeding the set safety threshold. At this time, the digital twin system generates a charging end instruction and generates an alarm message based on the abnormal condition that has occurred.

[0080] It is understandable that the digital twin system will send a charging end instruction to the time control integrated device, and the time control integrated device will cut off the power supply according to the charging end instruction and force the charging process to terminate; the digital twin system will send an alarm message to the user's terminal or central control room to issue a workshop safety alarm.

[0081] In a feasible implementation manner, after step S40, steps C11 to C13 may be included:

[0082] Step C11, integrating data on the virtual workshop model corresponding to the charging workshop according to the charging current, charging duration and workshop temperature data fed back by the temperature sensing device to obtain a target workshop model.

[0083] It should be noted that data integration is performed on the virtual workshop model corresponding to the charging workshop, and the collected data during the charging process, such as charging current, charging duration, and workshop temperature data, are integrated into the virtual workshop model, thereby obtaining a target workshop model containing various data.

[0084] Step C12: anomaly marking the integrated data in the target workshop model according to the safety analysis result to obtain a monitoring workshop model.

[0085] It should be noted that when the safety analysis result is a normal charging result, the data in the target workshop model will be displayed in a specific color such as green; when the safety analysis result is not a normal charging result, the data corresponding to the situation will be displayed in other colors such as red according to the abnormal situation that occurs, thereby obtaining a monitoring workshop model with the analysis results marked, and pushing the monitoring workshop model to the display interface for display, so that the user can intuitively and clearly understand the charging status of the AGV.

[0086] Step C13: Push the monitoring workshop model to the display interface for status display.

[0087] The method of this embodiment is applied to a digital twin system, and the method includes: in response to a charging request of an automated guided vehicle, generating a charging start instruction according to the target charging duration of the automated guided vehicle; sending the charging start instruction to a time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process; performing a safety analysis of the charging workshop according to the charging current, charging duration, and workshop temperature data fed back by a temperature sensing device to obtain a safety analysis result; and monitoring the charging workshop where the automated guided vehicle is located according to the safety analysis result. Through the above method, intelligent and all-round monitoring and management of the charging workshop where the automated guided vehicle is located is realized, which effectively improves the environmental safety of the charging workshop and reduces the risk of dangerous accidents.

[0088] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 3 , step S30 in the workshop monitoring method based on digital twins also includes steps S31 to S33:

[0089] Step S31, comparing the charging current with a current threshold to obtain a first comparison result.

[0090] It should be noted that the charging current is compared with the set current threshold. When the charging current is less than or equal to the current threshold, the first comparison result is a normal current result; when the charging current is greater than the current threshold, the first comparison result is an overcharge power-off result. In this embodiment, the current threshold is set according to the specifications and safety standards of the AGV battery.

[0091] Step S32: compare the charging duration with the target charging duration to obtain a second comparison result.

[0092] It should be noted that the charging duration is compared with the target charging duration. When the charging duration is less than or equal to the target charging duration, the second comparison result is a normal duration result; when the charging duration is greater than the target charging duration, the second comparison result is an overcharge power-off result.

[0093] Step S33: determining a third comparison result according to the workshop temperature data fed back by the temperature sensing device and the target temperature threshold.

[0094] It should be noted that the target temperature threshold includes the regional temperature threshold and the ambient temperature threshold. The regional temperature threshold includes the safety threshold and the warning temperature threshold. The regional temperature threshold refers to the temperature threshold corresponding to the charging area of ​​the charging workshop. The ambient temperature threshold refers to the temperature threshold corresponding to the environment outside the charging area in the charging workshop. The safety threshold is greater than the warning temperature threshold.

[0095] In a feasible implementation, step S33 may include steps D11 to D14:

[0096] Step D11, determining the charging area temperature corresponding to the vehicle charging area in the charging workshop and the workshop ambient temperature of the charging workshop according to the workshop temperature data fed back by the temperature sensing device.

[0097] Step D12: Compare the charging area temperature with the area temperature threshold in the target temperature threshold to obtain a fourth comparison result.

[0098] It should be noted that the charging area temperature and the regional temperature threshold are compared. When the charging area temperature is less than or equal to the warning temperature threshold, the fourth comparison result is a normal temperature result; when the charging area temperature is greater than the warning temperature threshold and less than or equal to the safety threshold, the fourth comparison result is an overtemperature warning result; when the charging area temperature is greater than the safety threshold, the fourth comparison result is a high temperature power-off result.

[0099] Step D13: Compare the workshop ambient temperature with the ambient temperature threshold in the target temperature threshold to obtain a fifth comparison result.

[0100] It should be noted that the workshop ambient temperature is compared with the ambient temperature threshold. When the workshop ambient temperature is less than or equal to the ambient temperature threshold, the fifth comparison result is a normal temperature result; when the workshop ambient temperature is greater than the ambient temperature threshold, the fifth comparison result is an overtemperature warning result.

[0101] Step D14, when the fourth comparison result is a high temperature power-off result and the fifth comparison result is an over-temperature warning result, determining that the third comparison result is a high temperature power-off result.

[0102] It should be noted that when the fourth comparison result is a high temperature power off result and the fifth comparison result is an over-temperature warning result, the third comparison result is a high temperature power off result; when the fourth comparison result is not a high temperature power off result, and there is an over-temperature warning result in the fourth comparison result and the fifth comparison result, the third comparison result is an over-temperature warning result; when the fourth comparison result and the fifth comparison result are both normal temperature results, the third comparison result is a normal temperature result.

[0103] Step S34: determining a safety analysis result according to the first comparison result, the second comparison result and the third comparison result.

[0104] It should be noted that, when the first comparison result, the second comparison result and the third comparison result are all normal results, the safety analysis result is the safety analysis result; when there is a power off result in the first comparison result, the second comparison result and the third comparison result, the safety analysis result is a workshop power off result; when there is no power off result in the first comparison result, the second comparison result and the third comparison result, but there is a warning result in the first comparison result, the second comparison result and the third comparison result, the safety analysis result is a workshop warning result.

[0105] In a feasible implementation, step S34 may include steps E11 to E12:

[0106] Step E11: when a preset power-off result exists in the first comparison result, the second comparison result, and the third comparison result, determining that the safety analysis result is a workshop power-off result.

[0107] It should be noted that when there is a power-off result in the first comparison result, the second comparison result, and the third comparison result, it means that there is a preset power-off result, and the safety analysis result is a workshop power-off result. For example, if the first comparison result is an overcharge power-off result, the second comparison result is a normal time result, and the third comparison result is a normal temperature result, it means that there is a preset power-off result.

[0108] Step E12, when there is no preset power-off result in the first comparison result, the second comparison result and the third comparison result and there is a preset warning result in the first comparison result, the second comparison result and the third comparison result, determine that the safety analysis result is a workshop warning result.

[0109] It should be noted that when there is a power-off result but a preset warning result in the first comparison result, the second comparison result, and the third comparison result, the safety analysis result is determined to be a workshop warning result. For example, if the first comparison result is a normal current result, the second comparison result is a normal duration result, and the third comparison result is an overtemperature warning result, it means that there is a preset warning result.

[0110] This embodiment obtains a first comparison result by comparing the charging current with the current threshold; obtains a second comparison result by comparing the charging duration with the target charging duration; determines a third comparison result based on the workshop temperature data fed back by the temperature sensing device and the target temperature threshold; and determines a safety analysis result based on the first comparison result, the second comparison result, and the third comparison result. In the above manner, an accurate safety analysis result can be obtained.

[0111] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the workshop monitoring method based on digital twins of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0112] This application also provides a workshop monitoring device based on digital twins, please refer to Figure 4 , the workshop monitoring device based on digital twin includes:

[0113] The generating module 10 is used to generate a charging start instruction according to a target charging time of the automatic guided vehicle in response to a charging request of the automatic guided vehicle.

[0114] The sending module 20 is used to send the charging start instruction to the time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process;

[0115] The analysis module 30 is used to perform safety analysis of the charging workshop according to the charging current, charging duration and workshop temperature data fed back by the temperature sensing device to obtain a safety analysis result.

[0116] The monitoring module 40 is used to monitor the charging workshop where the automatic guided vehicle is located according to the safety analysis result.

[0117] Optionally, the analysis module 30 is further used for:

[0118] Compare the charging current with the current threshold to obtain a first comparison result; compare the charging duration with the target charging duration to obtain a second comparison result; determine a third comparison result based on the workshop temperature data fed back by the temperature sensing device and the target temperature threshold; determine a safety analysis result based on the first comparison result, the second comparison result and the third comparison result.

[0119] Optionally, the analysis module 30 is further used for:

[0120] Determine the charging area temperature corresponding to the vehicle charging area in the charging workshop and the workshop ambient temperature of the charging workshop based on the workshop temperature data fed back by the temperature sensing device; compare the charging area temperature with the area temperature threshold in the target temperature threshold to obtain a fourth comparison result; compare the workshop ambient temperature with the ambient temperature threshold in the target temperature threshold to obtain a fifth comparison result; when the fourth comparison result is a high temperature power-off result and the fifth comparison result is an over-temperature warning result, determine that the third comparison result is a high temperature power-off result.

[0121] Optionally, the analysis module 30 is further used for:

[0122] When a preset power-off result exists in the first comparison result, the second comparison result, and the third comparison result, the safety analysis result is determined to be a workshop power-off result; when there is no preset power-off result in the first comparison result, the second comparison result, and the third comparison result and a preset warning result exists in the first comparison result, the second comparison result, and the third comparison result, the safety analysis result is determined to be a workshop warning result.

[0123] Optionally, the monitoring module 40 is further used for:

[0124] When the safety analysis result is a power outage in the workshop, a charging end instruction and an alarm message are generated; the charging end instruction is sent to the time control integrated device so that the time control integrated device ends charging according to the charging end instruction; and the alarm message is sent to the user's terminal to issue a workshop safety alarm.

[0125] Optionally, the monitoring module 40 is further used for:

[0126] According to the charging current, charging duration and workshop temperature data fed back by the temperature sensing device, data is integrated on the virtual workshop model corresponding to the charging workshop to obtain a target workshop model; according to the safety analysis result, the integrated data in the target workshop model is anomaly marked to obtain a monitoring workshop model;

[0127] The monitoring workshop model is pushed to the display interface for status display.

[0128] Optionally, the generating module 10 is further used for:

[0129] In response to a charging request of an automatic guided vehicle, a remaining power of the automatic guided vehicle is obtained; a target charging duration is determined according to the remaining power and a charging power; and a charging start instruction is generated according to the target charging duration.

[0130] The workshop monitoring device based on digital twins provided in this application adopts the workshop monitoring method based on digital twins in the above-mentioned embodiment, which can solve the technical problem that the prior art cannot intelligently monitor and manage the charging workshop where the AGV is located. Compared with the prior art, the beneficial effects of the workshop monitoring device based on digital twins provided in this application are the same as the beneficial effects of the workshop monitoring method based on digital twins provided in the above-mentioned embodiment, and the other technical features in the workshop monitoring device based on digital twins are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0131] The present application provides a workshop monitoring device based on digital twins, and the workshop monitoring device based on digital twins includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the workshop monitoring method based on digital twins in the above-mentioned embodiment one.

[0132] Reference below Figure 5 , which shows a structural schematic diagram of a workshop monitoring device based on digital twins suitable for implementing the embodiment of the present application. The workshop monitoring device based on digital twins in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The digital twin-based workshop monitoring equipment shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0133] like Figure 5As shown, the workshop monitoring equipment based on digital twins may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the workshop monitoring equipment based on digital twins are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other via a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the workshop monitoring device based on the digital twin to communicate with other devices wirelessly or wired to exchange data. Although the figure shows a workshop monitoring device based on the digital twin with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or provided alternatively.

[0134] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0135] The workshop monitoring device based on digital twin provided by the present application adopts the workshop monitoring method based on digital twin in the above embodiment, which can solve the technical problem that the prior art cannot intelligently monitor and manage the charging workshop where the AGV is located. Compared with the prior art, the beneficial effects of the workshop monitoring device based on digital twin provided by the present application are the same as the beneficial effects of the workshop monitoring method based on digital twin provided by the above embodiment, and the other technical features of the workshop monitoring device based on digital twin are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0136] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0137] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0138] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the digital twin-based workshop monitoring method in the above-mentioned embodiment.

[0139] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0140] The above-mentioned computer-readable storage medium may be included in the workshop monitoring device based on the digital twin; or it may exist independently without being assembled into the workshop monitoring device based on the digital twin.

[0141] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the digital twin-based workshop monitoring device, the digital twin-based workshop monitoring device: responds to the charging request of the automatic guided vehicle, and generates a charging start instruction according to the target charging time of the automatic guided vehicle; sends the charging start instruction to the time control integration device, so that the time control integration device charges according to the charging start instruction and feeds back the charging current during the charging process; performs a safety analysis of the charging workshop according to the charging current, charging duration and workshop temperature data fed back by the temperature sensing device to obtain a safety analysis result; and performs workshop monitoring on the charging workshop where the automatic guided vehicle is located according to the safety analysis result.

[0142] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0143] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0144] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0145] The readable storage medium provided in this application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned workshop monitoring method based on digital twins, and can solve the technical problem that the prior art cannot intelligently monitor and manage the charging workshop where the AGV is located. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the workshop monitoring method based on digital twins provided in the above-mentioned embodiments, which will not be repeated here.

[0146] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the digital twin-based workshop monitoring method as described above.

[0147] The computer program product provided by this application can solve the technical problem that the prior art cannot intelligently monitor and manage the charging workshop where the AGV is located. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the workshop monitoring method based on digital twins provided in the above embodiment, which will not be repeated here.

[0148] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A workshop monitoring method based on digital twins, characterized in that: The workshop monitoring method based on digital twin is applied to the digital twin system, and the workshop monitoring method based on digital twin includes: In response to a charging request of the automatic guided vehicle, generating a charging start instruction according to a target charging duration of the automatic guided vehicle; Sending the charging start instruction to the time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process; Performing a safety analysis of the charging workshop according to the charging current, the charging duration, and the workshop temperature data fed back by the temperature sensing device to obtain a safety analysis result; The charging workshop where the automatic guided vehicle is located is monitored according to the safety analysis result.

2. The method according to claim 1, characterized in that The step of performing safety analysis on the charging workshop according to the charging current, the charging duration and the workshop temperature data fed back by the temperature sensing device to obtain the safety analysis result comprises: Comparing the charging current with a current threshold to obtain a first comparison result; Comparing the charging duration with the target charging duration to obtain a second comparison result; Determine a third comparison result according to the workshop temperature data fed back by the temperature sensing device and the target temperature threshold; A safety analysis result is determined according to the first comparison result, the second comparison result, and the third comparison result.

3. The method according to claim 2, characterized in that The step of determining the third comparison result according to the workshop temperature data fed back by the temperature sensing device and the target temperature threshold comprises: Determine the charging area temperature corresponding to the vehicle charging area in the charging workshop and the workshop ambient temperature of the charging workshop according to the workshop temperature data fed back by the temperature sensing device; Comparing the charging area temperature with the area temperature threshold in the target temperature threshold to obtain a fourth comparison result; Comparing the workshop ambient temperature with the ambient temperature threshold in the target temperature threshold to obtain a fifth comparison result; When the fourth comparison result is a high-temperature power-off result and the fifth comparison result is an over-temperature warning result, it is determined that the third comparison result is a high-temperature power-off result.

4. The method according to claim 2, characterized in that The step of determining the safety analysis result according to the first comparison result, the second comparison result and the third comparison result comprises: When a preset power-off result exists in the first comparison result, the second comparison result, and the third comparison result, determining that the safety analysis result is a workshop power-off result; When there is no preset power-off result in the first comparison result, the second comparison result and the third comparison result and there is a preset warning result in the first comparison result, the second comparison result and the third comparison result, it is determined that the safety analysis result is a workshop warning result.

5. The method according to any one of claims 1 to 4, characterized in that The step of performing workshop monitoring on the charging workshop where the automatic guided vehicle is located according to the safety analysis result comprises: When the safety analysis result is a power outage in the workshop, generating a charging end instruction and an alarm message; Sending the charging end instruction to the time control integrated device, so that the time control integrated device ends charging according to the charging end instruction; The alarm information is sent to the user's terminal to issue a workshop safety alarm.

6. The method according to any one of claims 1 to 4, characterized in that After the step of performing workshop monitoring on the charging workshop where the automatic guided vehicle is located according to the safety analysis result, the method further includes: According to the charging current, charging duration and workshop temperature data fed back by the temperature sensing device, data integration is performed on the virtual workshop model corresponding to the charging workshop to obtain a target workshop model; Anomaly marking the integrated data in the target workshop model according to the safety analysis result to obtain a monitoring workshop model; The monitoring workshop model is pushed to the display interface for status display.

7. The method according to any one of claims 1 to 4, characterized in that The step of generating a charging start instruction according to a target charging duration of the automatic guided vehicle in response to a charging request of the automatic guided vehicle comprises: In response to a charging request of the automatic guided vehicle, obtaining a remaining power of the automatic guided vehicle; Determine a target charging time according to the remaining power and the charging power; A charging start instruction is generated according to the target charging duration.

8. A workshop monitoring device based on digital twin, characterized in that: The workshop monitoring device based on digital twin includes: A generating module, configured to generate a charging start instruction in response to a charging request of the automatic guided vehicle according to a target charging duration of the automatic guided vehicle; A sending module, used for sending the charging start instruction to the time control integrated device, so that the time control integrated device charges according to the charging start instruction and feeds back the charging current during the charging process; An analysis module, configured to perform a safety analysis of the charging workshop according to the charging current, the charging duration, and the workshop temperature data fed back by the temperature sensing device, and obtain a safety analysis result; A monitoring module is used to monitor the charging workshop where the automatic guided vehicle is located according to the safety analysis result.

9. A workshop monitoring device based on digital twin, characterized in that: The digital twin-based workshop monitoring device includes: a memory, a processor, and a digital twin-based workshop monitoring program stored in the memory and executable on the processor, wherein the digital twin-based workshop monitoring program is configured to implement the digital twin-based workshop monitoring method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a workshop monitoring program based on digital twins, and when the workshop monitoring program based on digital twins is executed by the processor, the workshop monitoring method based on digital twins is implemented as described in any one of claims 1 to 7.