Inspection system and method for a data center

Abstract

The application discloses a kind of data center's inspection system and method, it is related to artificial intelligence technical field, the system includes: inspection robot system, for the power distribution room of data center is inspected, and the inspection data of different positions in data center is collected;Data processing unit is used to identify the image focusing abnormal state of inspection data, determine whether there is the target data of image focusing abnormal state in inspection data;If there is, then send the adjustment instruction for adjusting the air outlet of air conditioner at the target position corresponding to the target data;Air conditioner control system is used to adjust the air direction and air speed of air conditioner at the target position according to the adjustment instruction;Inspection robot system is also used to collect data again at the target position after adjusting the air direction and air speed of air conditioner at the target position.The application is used to improve the identification efficiency and identification accuracy of inspection robot, improve the efficiency of computer room operation and maintenance, reduce the waste of human resources.

Description

Technical Field

[0001] This invention relates to the field of artificial intelligence technology, and in particular to a data center inspection system and method. Background Technology

[0002] This section is intended to provide background or context for the embodiments of the invention set forth in the claims. The description herein is not an admission that it is prior art simply because it is included in this section.

[0003] Traditional data center power distribution room inspections are conducted manually. However, with the continuous development of society and the increasing scale of the data center industry, the inspection time for ultra-large data center maintenance personnel is becoming increasingly long, and manual inspections waste a significant amount of human resources. Therefore, more and more data centers are adopting track-mounted inspection robots to inspect their power distribution rooms. Track-mounted inspection robots can replace manual labor for daily inspections of power room equipment and the environment. However, inspection robots suffer from a low recognition rate due to the influence of the room environment during inspections.

[0004] The existing solutions mainly rely on track-type inspection robot systems in the industry, which have an accuracy rate of around 95% for data center inspections. When there are unidentified or incorrect identifications due to various reasons, maintenance personnel need to manually control the robot to verify the inspection results after they are aware of them. In some cases, maintenance personnel may even need to go to the site to confirm whether there are any problems with the equipment and environment and to handle any abnormalities in a timely manner.

[0005] The existing inspection robot control system cannot cope with the various problems that occur in the power room. It has a low recognition rate (i.e., the ratio of the number of inspection points accurately identified by the robot to the total number of inspection points). For the problem of high cooling capacity and high wind speed of precision air conditioners, it is difficult to improve the recognition rate through recognition algorithm optimization. Instead, maintenance personnel have to manually check the status of unidentified equipment switches or instruments, which is not only time-consuming and labor-intensive, but also inefficient. Summary of the Invention

[0006] This invention provides a data center inspection system to enhance the interaction between an inspection robot system and a precision air conditioning system in the data center, improve the robot's recognition efficiency and accuracy, enhance data center operation and maintenance efficiency, and reduce human resource waste. The system includes:

[0007] The inspection robot system is used to inspect the power distribution room of a data center and collect inspection data at different locations within the data center; the inspection data includes visible light monitoring data at different locations.

[0008] The data processing unit is used to identify abnormal image focus states in the inspection data and determine whether there are target data with abnormal image focus states in the inspection data; if so, it issues an adjustment command to adjust the air conditioning vent at the target location corresponding to the target data.

[0009] An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command;

[0010] The inspection robot system is also used to: collect data on the target location again after the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location.

[0011] This invention also provides a data center inspection method to enhance the interaction between the inspection robot system and the precision air conditioning system of the data center, improve the identification efficiency and accuracy of the inspection robot, enhance the operation and maintenance efficiency of the data center, and reduce the waste of human resources. This method is applied to the data center inspection system described above, and includes:

[0012] The inspection robot system inspects the power distribution room of the data center and collects inspection data at different locations in the data center; the inspection data includes visible light monitoring data at different locations;

[0013] The data processing unit identifies abnormal image focusing states in the inspection data and determines whether there are target data with abnormal image focusing states in the inspection data; if so, it issues an adjustment command to adjust the air conditioning vent at the target location corresponding to the target data.

[0014] The air conditioning control system adjusts the airflow direction and speed at the target location according to the adjustment command.

[0015] After the air conditioning control system adjusts the air direction and speed at the target location, the inspection robot system collects data at the target location again.

[0016] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the above-mentioned data center inspection method.

[0017] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned data center inspection method.

[0018] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described data center inspection method.

[0019] In this embodiment of the invention, the data center inspection scheme utilizes an inspection robot system to inspect the power distribution room of the data center and collect inspection data from different locations within the data center. The inspection data includes visible light monitoring data from different locations. A data processing unit is used to identify image focus anomalies in the inspection data and determine whether target data with image focus anomalies exists. If so, an adjustment command is issued to adjust the airflow at the target location corresponding to the target data. An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command. The inspection robot system is further used for: After the air conditioning control system adjusts the airflow direction and speed at the target location, data is collected again at the target location. This solves the problem of abnormal inspection data collection caused by interference from the air conditioning in the computer room, which affects the inspection recognition rate. This optimizes the control system for inspection robots in the complex power room environment of ultra-large data centers. It can still accurately collect the operating status of the power distribution room equipment when the airflow organization speed of the computer room air conditioning is fast. It strengthens the interaction between the inspection robot system and the precision air conditioning system of the computer room, improves the recognition efficiency and accuracy of the inspection robot, and thus improves the operation and maintenance efficiency of the computer room and reduces the waste of human resources. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0021] Figure 1 This is a schematic diagram of the structure of a data center inspection system according to an embodiment of the present invention;

[0022] Figure 2 This is a flowchart illustrating a data center inspection method according to an embodiment of the present invention.

[0023] Figure 3 This is a specific example diagram of a data center inspection method according to an embodiment of the present invention;

[0024] Figure 4 This is a specific example diagram of a data center inspection method according to an embodiment of the present invention;

[0025] Figure 5 This is a specific example diagram of a data center inspection method according to an embodiment of the present invention;

[0026] Figure 6 This is a schematic diagram of a computer device used for data center inspection in an embodiment of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0028] In this document, the term "and / or" merely describes a relationship, indicating that three relationships can exist. For example, A and / or B can represent three cases: A alone, A and B simultaneously, and B alone. Furthermore, the term "at least one" in this document means any combination of at least two of any one or more elements. For example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0029] In the description of this specification, the terms "comprising," "including," "having," and "containing" are open-ended terms, meaning that they include but are not limited to. The terms "an embodiment," "a specific embodiment," "some embodiments," and "for example," etc., refer to specific features, structures, or characteristics described in connection with that embodiment or example that are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, or characteristics described can be combined in any suitable manner in one or more embodiments or examples. The order of steps involved in the various embodiments is used to illustrate the implementation of this application, and the order of steps is not limited and can be adjusted appropriately as needed.

[0030] The acquisition, storage, use, and processing of data in this application all comply with the relevant provisions of national laws and regulations.

[0031] Traditional data center power distribution room inspections are conducted manually. However, with the continuous development of society and the increasing scale of the data center industry, the inspection time for ultra-large data center maintenance personnel is becoming increasingly long, and manual inspections waste a significant amount of human resources. Therefore, more and more data centers are adopting track-mounted inspection robots to inspect their power distribution rooms. Track-mounted inspection robots can replace manual labor for daily inspections of power room equipment and the environment. However, inspection robots suffer from a low recognition rate due to the influence of the room environment during inspections.

[0032] Currently, track-mounted inspection robots in ultra-large data centers experience data acquisition anomalies due to interference from the precision air conditioning systems in the server room, thus affecting the inspection and recognition rate. The increasing scale of data centers leads to increased power consumption of corresponding equipment, requiring the precision air conditioning systems to provide greater cooling capacity and airflow, which impacts the data acquisition of the inspection robots. Ultimately, manual verification is needed, reducing the efficiency of the inspection robots.

[0033] The existing solutions mainly rely on the industry's track-type inspection robot system, which has an inspection recognition rate of around 95% for computer rooms. When there are unrecognized or incorrectly recognized results due to various reasons, maintenance personnel need to manually control the robot to verify the results after they are aware of them. In some cases, maintenance personnel may even need to go to the site to confirm whether there are any problems with the equipment and environment and to handle any abnormalities in a timely manner.

[0034] The existing inspection robot control system cannot cope with the various problems that occur in the power room. It has the problem of low recognition rate. For the problem of high cooling capacity and high wind speed of precision air conditioner, it is difficult to improve the recognition rate through recognition algorithm optimization. The manual review of the status of unrecognized equipment switches or instruments by maintenance personnel is time-consuming, labor-intensive and inefficient.

[0035] Specifically, when inspection robots perform inspection tasks in the power rooms of ultra-large data centers, they encounter situations where electrical equipment is running at full load, generating significant heat, and the overall energy efficiency of the supporting precision air conditioning systems and the airflow velocity at the heat dissipation vents are excessive, affecting the robot's data acquisition. During the inspection process of track-mounted robots, it is essential to inspect electrical equipment such as transformers and UPS systems. However, since the track-mounted inspection robot's track is erected on the ceiling of the server room, the detection camera needs to be lowered when inspecting the bottom power distribution cabinets. The extended lifting device significantly impacts the wind speed on the detection device, affecting the robot's data acquisition (the clarity of the captured images and the alignment of the data points), thus reducing the robot's inspection recognition rate (the number of accurately identified inspection points / the total number of inspection points), and impacting operational efficiency.

[0036] To address the aforementioned issues, this invention provides a system for accurately collecting data in complex power distribution room scenarios, improving the recognition accuracy of inspection robots in data center power rooms. This system enhances the interaction between the inspection robot system and the precision air conditioning system in the data center, thereby increasing the robot's recognition efficiency, improving data center operation and maintenance efficiency, and reducing human resource waste. (See also...) Figure 1 The system may include:

[0037] Inspection robot system 01 is used to inspect the power distribution room of the data center and collect inspection data at different locations in the data center; the inspection data includes visible light monitoring data at different locations;

[0038] The data processing unit 02 is used to identify abnormal image focus in the inspection data and determine whether there is target data with abnormal image focus in the inspection data; if so, it issues an adjustment command to adjust the air conditioner outlet at the target location corresponding to the target data.

[0039] Air conditioning control system 03 is used to adjust the air direction and speed of the air conditioner at the target location according to the adjustment command;

[0040] The inspection robot system 01 is also used to: collect data on the target location again after the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location.

[0041] In this embodiment of the invention, the data center inspection scheme utilizes an inspection robot system to inspect the power distribution room of the data center and collect inspection data from different locations within the data center. The inspection data includes visible light monitoring data from different locations. A data processing unit is used to identify image focus anomalies in the inspection data and determine whether target data with image focus anomalies exists. If so, an adjustment command is issued to adjust the airflow at the target location corresponding to the target data. An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command. The inspection robot system is further used for: After the air conditioning control system adjusts the airflow direction and speed at the target location, data is collected again at the target location. This solves the problem of abnormal inspection data collection caused by interference from the air conditioning in the computer room, which affects the inspection recognition rate. This optimizes the control system for inspection robots in the complex power room environment of ultra-large data centers. It can still accurately collect the operating status of the power distribution room equipment when the airflow organization speed of the computer room air conditioning is fast. It strengthens the interaction between the inspection robot system and the precision air conditioning system of the computer room, improves the recognition efficiency and accuracy of the inspection robot, and thus improves the operation and maintenance efficiency of the computer room and reduces the waste of human resources.

[0042] In practice, an inspection robot system is set up to inspect the power distribution room of the data center and collect inspection data from different locations in the data center; the inspection data includes visible light monitoring data from different locations.

[0043] In this embodiment, the inspection data specifically includes: visible light monitoring data of cabinet indicator lights, switches, and meter data on power equipment located in different locations; the power equipment includes dry-type transformers, uninterruptible power supplies, and precision distribution cabinets.

[0044] In one embodiment, the IT room within a data center, which houses IT equipment such as servers, switches, and network devices, requires both power supply and cooling. Power is primarily supplied through a dedicated power room (i.e., the aforementioned power distribution room), while cooling is provided by an air conditioning unit. The main equipment in the power room includes dry-type transformers, UPS (Uninterruptible Power Supply), and precision distribution cabinets. The aforementioned inspection robot system can be applied to the power room (i.e., the aforementioned power distribution room) of the data center to inspect different power room equipment in different locations within the power room.

[0045] In one embodiment, the aforementioned inspection data may include visible light monitoring data of cabinet indicator lights, switches, and meters on power equipment located in different locations, which can be collected by the camera mounted on the inspection robot system.

[0046] For example, the above-mentioned inspection robot system may include: a track-mounted inspection robot, the track of which is set on the top of the computer room. When inspecting the bottom power distribution cabinet, the detection camera needs to be lowered to collect data from the robot.

[0047] In one embodiment, the inspection robot system is specifically used for:

[0048] The system uses a pre-set inspection path to inspect the power distribution room of the data center and collects inspection data from different locations within the data center.

[0049] For example, the power distribution room of a data center can be inspected by staff following a pre-set inspection route. Inspection data can be collected from different locations in the data center. For instance, the inspection robot system mainly uses a visible light detection module to monitor cabinet indicator lights, switches, and meter data. After the robot takes a picture of the equipment, it will identify the status of the collected samples to obtain inspection data from different locations in the data center.

[0050] In the above embodiments, by inspecting the power distribution room of the data center using a pre-set inspection path, the purpose of collecting inspection data from different locations in the data center can be achieved. Furthermore, by following the pre-set inspection path, staff can flexibly adjust the inspection sequence of the power distribution room.

[0051] In practice, after setting up an inspection robot system to inspect the power distribution room of the data center and collecting inspection data from different locations in the data center, a data processing unit can be set up to identify abnormal image focusing states in the inspection data and determine whether there are target data with abnormal image focusing states in the inspection data; if so, an adjustment command is issued to adjust the air conditioning vents at the target location corresponding to the target data.

[0052] In this embodiment, the image focus anomaly state is used to describe the state of image blurring and / or incomplete display of the required identification digits in the image.

[0053] For example, when an inspection robot is performing an inspection task in the power room of a super-large data center, it may encounter situations where the electrical equipment is running at full load and generating a lot of heat, and the overall energy efficiency of the supporting precision air conditioner and the airflow velocity of the heat dissipation outlet are too high. This can affect the robot's data acquisition, such as the occurrence of an abnormal image focus. This abnormal image focus can be used to describe the state of image blurring and / or the incomplete display of the required identification numbers in the image, such as image blurring, abnormal focus, sample points not being within the sampling frame, etc.

[0054] Another example is that an abnormal image focus state may include a state where the photo is out of focus (such as a blurry photo) or the required number is not within the frame (such as a robot drawing a frame in the photo to accurately identify the switch and number to be identified).

[0055] In the above embodiments, the data processing unit can identify abnormal image focusing states in the inspection data and determine whether there is target data with abnormal image focusing states in the inspection data; if so, it issues an adjustment command to adjust the air conditioner outlet at the target location corresponding to the target data, that is, it determines that the robot is unable to sample stably due to the influence of the precision air conditioner wind speed.

[0056] In one embodiment, the data processing unit is specifically used for:

[0057] The inspection data is used to identify abnormal image focus and determine whether there is any data in the inspection data where either the image clarity or the point data alignment is lower than a preset value.

[0058] Data in the inspection data that has either image clarity or point data alignment value lower than a preset value is identified as target data with an abnormal image focus state in the inspection data.

[0059] In this embodiment, the inspection data is used to identify abnormal image focus states. It is determined whether there is any data in the inspection data where either the image sharpness or the point data alignment is lower than a preset value. Thus, when there is data in the inspection data where either the image sharpness or the point data alignment is lower than the preset value, the abnormal image focus state can be identified, that is, it can be determined whether there is target data with abnormal image focus states in the inspection data.

[0060] Furthermore, determining whether there are target data with abnormal image focus in the inspection data can include: identifying data in the inspection data where either the image sharpness or the point data alignment is lower than a preset value as target data with abnormal image focus in the inspection data.

[0061] In the above embodiments, a quantifiable image focus anomaly identification scheme can be provided for identifying image focus anomaly states in inspection data. This allows for the determination of whether to perform multiple data acquisitions in subsequent steps based on the analysis results of whether target data with image focus anomalies exists in the inspection data.

[0062] In one embodiment, the data processing unit is specifically used for:

[0063] For each location, the current batch of inspection data at that location will be used to identify image focus anomalies and determine whether there are target data with image focus anomalies in the current batch of inspection data.

[0064] If the target data exists in the current batch of inspection data, then the image focusing anomaly status is identified in the next batch of inspection data to determine whether the target data exists in the next batch of inspection data.

[0065] Repeat the above steps until the target data is found in the inspection data of the next preset number of batches after the current batch, or the target data is not found in the inspection data of the next batch.

[0066] For example, the data processing unit can first identify the image focus anomaly status of the current batch of inspection data at each location, and determine whether there is target data with image focus anomaly status in the current batch of inspection data, thus completing the first identification of image focus anomaly status of the current batch of inspection data.

[0067] After completing the first identification of image focus anomalies in the current batch of inspection data, if target data exists in the current batch of inspection data, the next batch of inspection data will be identified for image focus anomalies to determine whether target data exists in the next batch of inspection data. Thus, the result of determining whether target data exists in the next batch of inspection data can be used to verify the results of the first identification.

[0068] After determining whether the target data exists in the next batch of inspection data, the above steps can be repeated until the target data exists in the inspection data of a preset number of batches after the current batch, or the target data does not exist in the next batch of inspection data. The preset number of times can be three.

[0069] For example, after determining whether the target data exists in the next batch of inspection data, a third data collection can be performed. This involves identifying image focus anomalies for the next batch of inspection data. If the robot control system encounters three instances of image focus anomalies (blurred images) or the required numbers not being within the frame (the robot will draw frames for the switches and numbers to be identified in the image for accurate recognition), it indicates that the robot is experiencing difficulty in stable sampling due to the influence of the precision air conditioning wind speed. In this case, a signal is sent to the precision air conditioning control system, which will temporarily direct the cold air from the louvers of the air outlets towards the top of the machine room. Once the robot has finished inspecting the area (leaving the area on the inspection map), it sends a signal to the air conditioning system to restore the original airflow direction, thereby improving the efficiency and accuracy of the inspection data identification.

[0070] In one embodiment, the data processing unit is specifically used for:

[0071] When target data is found in the inspection data of a preset number of batches following the current batch, an adjustment command is issued to readjust the air conditioner outlet at the target location corresponding to the target data.

[0072] The air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location again according to the adjustment command.

[0073] In the above embodiments, if target data still exists in the inspection data of a preset number of batches after the current batch, it can be considered that the previous adjustment of the air conditioner at the target location was inaccurate or the adjustment value of the air speed was too small. It can be considered to adjust the air conditioner at the target location again according to the adjustment instruction, thereby adjusting the adjustment range of the air conditioner's air outlet at the target location corresponding to the target data, completing a significant adjustment of the air conditioner. Afterwards, according to the adjusted air direction and air speed, the inspection robot system can be controlled again to perform the step of collecting data at the target location again after the air conditioner control system adjusts the air direction and air speed at the target location.

[0074] In a specific embodiment, the data processing unit performs the following operations: for each location, it identifies the image focusing anomaly state of the current batch of inspection data at that location, and determines whether there is target data with an image focusing anomaly state in the current batch of inspection data; if there is target data in the current batch of inspection data, it identifies the image focusing anomaly state of the next batch of inspection data, and determines whether there is target data in the next batch of inspection data; the above steps are repeated until there is target data in the inspection data of a preset number of batches after the current batch, or there is no target data in the next batch of inspection data. The data processing unit can also issue multiple data acquisition commands to the inspection robot system through the following steps.

[0075] Specifically, the data processing unit is also used for:

[0076] The image focusing anomaly status of the re-collected inspection data is identified to determine whether there is target data with an image focusing anomaly status in the re-collected inspection data.

[0077] If present, a control command is sent to the inspection robot system to collect data from the target location three times; the inspection robot system receives the inspection data collected from the target location three times according to the control command, and determines whether there is target data with an abnormal image focus in the three collected inspection data; the above steps are repeated until the number of times the inspection robot system collects data from the target location exceeds a preset number.

[0078] In the above embodiment, the inspection robot system can be controlled to execute control commands to collect data from the target location three times; the data processing unit can receive the inspection data collected from the target location three times by the inspection robot system according to the control commands, and determine whether there is target data with an abnormal image focus in the three collected inspection data; the above steps are repeated until the number of times the inspection robot system collects data from the target location exceeds a preset number, thereby realizing the combination and interaction of the data control unit and the inspection robot system to jointly complete the process of identifying and collecting inspection data.

[0079] In one embodiment, the data processing unit is further configured to:

[0080] When the inspection robot system collects data from the target location more than a preset number of times, it issues an alarm command that the target location needs to be manually inspected.

[0081] In the above embodiments, when the number of times the inspection robot system collects data at the target location exceeds a preset number, an alarm command is issued indicating that the target location needs to be manually inspected. Staff can respond to the alarm command indicating that the target location needs to be manually inspected, complete the manual review of the target location, and finally determine the cause of the abnormal state, thereby improving the efficiency of data center operation and maintenance and reducing the waste of human resources.

[0082] In one embodiment, the data processing unit is further configured to:

[0083] If it is determined that there is no target data with an abnormal image focus in the re-collected inspection data, then the target location and the multiple inspection data collected at the target location are recorded.

[0084] In the above embodiments, if it is determined that there is no target data with an abnormal image focus in the re-collected inspection data, the target location and the inspection data collected multiple times at the target location are recorded. Based on the relevant files obtained from the records, the cause analysis of the target data with an abnormal image focus can be completed. This helps to adjust the robot inspection process and the robot inspection path, solves the problem of the robot inspection method being too singular, and makes the robot control system more applicable.

[0085] To illustrate with a specific example: First, the robot control system performs three identifications on the device being identified (first, normal data acquisition; second, verification; and third, identification after adjustment). If, after two verifications, issues such as blurry images, abnormal focus, or sample points not within the sampling frame persist, a signal is sent to the precision air conditioning control system. This system then controls the air vents to adjust the airflow direction towards the top of the server room. After the inspection robot has finished inspecting the area, the air conditioning system readjusts the airflow direction back to its original position based on the signal sent by the robot control system. This enables track-mounted inspection robots to perform precise inspections in complex power server room environments, resolving the problem of data acquisition anomalies caused by interference from the precision air conditioning systems in ultra-large data centers, which negatively impacts the inspection and recognition rate.

[0086] In specific implementation, a data processing unit is set up to identify abnormal image focusing states in the inspection data and determine whether there are target data with abnormal image focusing states in the inspection data. If there are, an adjustment command is issued to adjust the air conditioning outlet at the target location corresponding to the target data. An air conditioning control system can be set up to adjust the air direction and speed of the air conditioning at the target location according to the adjustment command.

[0087] In this embodiment, ultra-large data centers have high power resource requirements, and the power requirements for transformers and uninterruptible power supplies are increasing. Higher equipment power corresponds to greater heat generation, and excessively high equipment operating temperatures can lead to system crashes (equipment stopping operation, affecting the power supply of the IT server room). Therefore, the power room is equipped with precision air conditioning to lower the indoor temperature, and high-power electrical equipment requires increased cooling capacity. Precision air conditioning needs to comprehensively consider equipment energy consumption and cooling efficiency; therefore, the air conditioning outlet has a high air velocity (on the one hand, to remove heat, and on the other hand, to circulate dust in the server room) and directs the airflow towards the electrical equipment (to maintain a constant server room temperature while minimizing air conditioning energy consumption).

[0088] In this embodiment, adjusting the airflow direction and speed of the air conditioner at the target location may include: adjusting the louvers of the air conditioning system to temporarily blow cold air towards the top of the computer room and reduce the airflow speed.

[0089] For example, an air conditioning control system could be a precision air conditioning control system used in a data center to adjust the airflow direction and speed at the target location.

[0090] In one embodiment, the inspection robot system is further configured to: after collecting data from the target location again, send a notification instruction to the air conditioning control system to restore the air direction and wind speed of the air conditioner at the target location.

[0091] In this embodiment, after the robot has finished inspecting the area (the robot leaves the area on the inspection map), it sends a signal to the air conditioning system to restore the original airflow direction.

[0092] In one embodiment, the air conditioning control system is further configured to:

[0093] According to the notification instruction, the wind direction and wind speed at the target location will be restored to their original values.

[0094] In the above embodiments, the inspection robot can optimize the inspection control system in the complex power room environment of ultra-large data centers. Even when the airflow velocity in the room is high, it can still accurately collect the operating status of electrical equipment, enhance the interaction between the inspection robot system and the precision air conditioning system of the data center, avoid isolated operation of each system, improve the robot's recognition efficiency, thereby improving the data center's operation and maintenance efficiency and reducing the waste of human resources. This addresses the problem of overly simplistic robot inspection methods, making the robot control system more versatile.

[0095] In specific implementation, after the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location according to the adjustment command, an inspection robot system can be set up to: collect data on the target location again after the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location.

[0096] In this embodiment, the inspection robot system can collect data on the target location again after the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location, thereby achieving the purpose of collecting data on the target location multiple times.

[0097] In one embodiment, the inspection robot system is also used for:

[0098] After data is collected again at the target location, a notification message carrying the re-collected inspection data is sent to the data processing unit; the notification message is used by the data processing unit to identify the abnormal image focus state of the re-collected inspection data.

[0099] In this embodiment, after the inspection robot system re-collects data at the target location, it sends a notification message carrying the re-collected inspection data to the data processing unit. This helps the data processing unit perform subsequent identification operations on the re-collected inspection data, namely: identifying image focus anomalies in the re-collected inspection data to determine whether there is target data with image focus anomalies in the re-collected inspection data; if so, issuing a control command to the inspection robot system to collect data at the target location three times; receiving the inspection data collected three times at the target location by the inspection robot system according to the control command, and determining whether there is target data with image focus anomalies in the three collected inspection data; repeating the above steps until the number of times the inspection robot system collects data at the target location exceeds a preset number.

[0100] In this embodiment of the invention, the data center inspection scheme utilizes an inspection robot system to inspect the power distribution room of the data center and collect inspection data from different locations within the data center. The inspection data includes visible light monitoring data from different locations. A data processing unit is used to identify image focus anomalies in the inspection data and determine whether target data with image focus anomalies exists. If so, an adjustment command is issued to adjust the airflow at the target location corresponding to the target data. An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command. The inspection robot system is further used for: After the air conditioning control system adjusts the airflow direction and speed at the target location, data is collected again at the target location. This solves the problem of abnormal inspection data collection caused by interference from the air conditioning in the computer room, which affects the inspection recognition rate. This optimizes the control system for inspection robots in the complex power room environment of ultra-large data centers. It can still accurately collect the operating status of the power distribution room equipment when the airflow organization speed of the computer room air conditioning is fast. It strengthens the interaction between the inspection robot system and the precision air conditioning system of the computer room, improves the recognition efficiency and accuracy of the inspection robot, and thus improves the operation and maintenance efficiency of the computer room and reduces the waste of human resources.

[0101] As described above, in this embodiment of the invention, the inspection robot can optimize the inspection control system in the complex power room environment of ultra-large data centers. Even when the airflow velocity in the room is high, it can still accurately collect the operating status of electrical equipment, enhance the interaction between the inspection robot system and the precision air conditioning system of the room, avoid isolated operation of each system, improve the identification efficiency of the inspection robot, thereby improving the operation and maintenance efficiency of the data center and reducing the waste of human resources. It also addresses the problem of overly simplistic robot inspection methods, making the robot control system more versatile.

[0102] This invention also provides a data center inspection method to enhance the interaction between the inspection robot system and the precision air conditioning system of the data center, improve the inspection robot's recognition efficiency and accuracy, enhance data center operation and maintenance efficiency, and reduce human resource waste. This method is applied to the data center inspection system described above. Figure 2 As shown, the method includes:

[0103] Step 201: The inspection robot system inspects the power distribution room of the data center and collects inspection data at different locations in the data center; the inspection data includes visible light monitoring data at different locations;

[0104] Step 202: The data processing unit identifies abnormal image focus in the inspection data and determines whether there is target data with abnormal image focus in the inspection data; if so, it issues an adjustment command to adjust the air conditioner vent at the target location corresponding to the target data.

[0105] Step 203: The air conditioning control system adjusts the airflow direction and speed at the target location according to the adjustment command;

[0106] Step 204: After the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location, the inspection robot system collects data at the target location again.

[0107] In one embodiment, the inspection data specifically includes: visible light monitoring data of cabinet indicator lights, switches, and meters on power equipment located in different locations; the power equipment includes dry-type transformers, uninterruptible power supplies, and precision distribution cabinets.

[0108] In one embodiment, the inspection robot system inspects the power distribution room of a data center and collects inspection data from different locations within the data center, including:

[0109] The inspection robot system uses a pre-set inspection path to inspect the power distribution room of the data center and collect inspection data from different locations within the data center.

[0110] In one embodiment, the data processing unit identifies image focus anomalies in the inspection data to determine whether there are target data with image focus anomalies in the inspection data, such as... Figure 3 As shown, it includes:

[0111] Step 301: For each location, the data processing unit identifies the image focus anomaly status of the current batch of inspection data at that location, and determines whether there is target data with an image focus anomaly status in the current batch of inspection data.

[0112] Step 302: If target data exists in the current batch of inspection data, then identify the image focusing anomaly state in the next batch of inspection data to determine whether target data exists in the next batch of inspection data.

[0113] Step 303: Repeat the above steps until the target data is present in the inspection data of the next preset number of batches after the current batch, or the target data is not present in the inspection data of the next batch.

[0114] In one embodiment, the data processing unit issues an adjustment command for adjusting the air conditioning vents at the target location corresponding to the target data, including:

[0115] When target data is found in the inspection data of a preset number of batches following the current batch, an adjustment command is issued to readjust the air conditioner outlet at the target location corresponding to the target data.

[0116] The air conditioning control system adjusts the airflow direction and speed at the target location according to the adjustment command, including:

[0117] The air conditioning control system then adjusts the airflow direction and speed at the target location again according to the adjustment command.

[0118] In one embodiment, it also includes:

[0119] After the inspection robot system collects data from the target location again, it sends a notification message carrying the re-collected inspection data to the data processing unit. The notification message is used by the data processing unit to identify abnormal image focusing states in the re-collected inspection data.

[0120] In one embodiment, such as Figure 4 As shown, it also includes:

[0121] Step 401: The data processing unit identifies the abnormal image focus state in the re-acquired inspection data and determines whether there is target data with an abnormal image focus state in the re-acquired inspection data.

[0122] Step 402: If it exists, send a control command to the inspection robot system to collect data from the target location three times; receive the inspection data collected from the target location three times by the inspection robot system according to the control command, and determine whether there is target data with abnormal image focus in the three collected inspection data; repeat the above steps until the number of times the inspection robot system collects data from the target location exceeds the preset number.

[0123] In one embodiment, it also includes:

[0124] When the number of times the inspection robot system collects data at the target location exceeds a preset number, the data processing unit issues an alarm command that the target location needs to be manually inspected.

[0125] In one embodiment, it also includes:

[0126] If the data processing unit determines that there is no target data with an abnormal image focus in the re-collected inspection data, it records the target location and the multiple inspection data collected at the target location.

[0127] In one embodiment, an image focus anomaly state is used to describe a state where the image is blurred and / or the required digits in the image are not fully displayed.

[0128] In one embodiment, the data processing unit identifies image focus anomalies in the inspection data to determine whether there are target data with image focus anomalies in the inspection data, such as... Figure 5 As shown, it includes:

[0129] Step 501: Identify abnormal image focus in the inspection data to determine whether there is any data in the inspection data where either the image clarity or the point data alignment is lower than a preset value.

[0130] Step 502: Identify data in the inspection data where either the image clarity or the point data alignment is lower than a preset value as target data with an abnormal image focus.

[0131] In one embodiment, it also includes:

[0132] After collecting data at the target location again, the inspection robot system sends a notification command to the air conditioning control system to restore the air direction and speed of the air conditioner at the target location.

[0133] In one embodiment, it also includes:

[0134] According to the notification instruction, the air conditioning control system will restore the wind direction and wind speed at the target location to their previous values.

[0135] In this embodiment of the invention, the data center inspection scheme utilizes an inspection robot system to inspect the power distribution room of the data center and collect inspection data from different locations within the data center. The inspection data includes visible light monitoring data from different locations. A data processing unit is used to identify image focus anomalies in the inspection data and determine whether target data with image focus anomalies exists. If so, an adjustment command is issued to adjust the airflow at the target location corresponding to the target data. An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command. The inspection robot system is further used for: After the air conditioning control system adjusts the airflow direction and speed at the target location, data is collected again at the target location. This solves the problem of abnormal inspection data collection caused by interference from the air conditioning in the computer room, which affects the inspection recognition rate. This optimizes the control system for inspection robots in the complex power room environment of ultra-large data centers. It can still accurately collect the operating status of the power distribution room equipment when the airflow organization speed of the computer room air conditioning is fast. It strengthens the interaction between the inspection robot system and the precision air conditioning system of the computer room, improves the recognition efficiency and accuracy of the inspection robot, and thus improves the operation and maintenance efficiency of the computer room and reduces the waste of human resources.

[0136] This invention provides an embodiment of a computer device for implementing all or part of the above-described data center inspection method. The computer device specifically includes the following components:

[0137] The computer device comprises a processor, memory, a communications interface, and a bus; wherein the processor, memory, and communications interface communicate with each other via the bus; the communications interface is used to realize information transmission between related devices; the computer device can be a desktop computer, tablet computer, or mobile terminal, etc., and this embodiment is not limited to these. In this embodiment, the computer device can be implemented with reference to the embodiments for implementing a data center inspection method and the embodiments for implementing a data center inspection device, the contents of which are incorporated herein by reference, and repeated details will not be described again.

[0138] Figure 6 This is a schematic block diagram illustrating the system configuration of the computer device 1000 according to an embodiment of this application. Figure 6 As shown, the computer device 1000 may include a central processing unit 1001 and a memory 1002; the memory 1002 is coupled to the central processing unit 1001. It is worth noting that... Figure 6 This is an example; other types of structures can also be used to supplement or replace this structure to achieve telecommunications functions or other functions.

[0139] In one embodiment, the data center inspection function can be integrated into the central processing unit 1001. The central processing unit 1001 can be configured to perform the following control:

[0140] The inspection robot system inspects the power distribution room of the data center and collects inspection data at different locations in the data center; the inspection data includes visible light monitoring data at different locations;

[0141] The data processing unit identifies abnormal image focusing states in the inspection data and determines whether there are target data with abnormal image focusing states in the inspection data; if so, it issues an adjustment command to adjust the air conditioning vent at the target location corresponding to the target data.

[0142] The air conditioning control system adjusts the airflow direction and speed at the target location according to the adjustment command.

[0143] After the air conditioning control system adjusts the air direction and speed at the target location, the inspection robot system collects data at the target location again.

[0144] In another embodiment, the data center inspection device can be configured separately from the central processing unit 1001. For example, the data center inspection device can be configured as a chip connected to the central processing unit 1001, and the data center inspection function can be realized through the control of the central processing unit.

[0145] like Figure 6 As shown, the computer device 1000 may further include: a communication module 1003, an input unit 1004, an audio processor 1005, a display 1006, and a power supply 1007. It is worth noting that the computer device 1000 does not necessarily need to include... Figure 6 All components shown; in addition, the computer device 1000 may also include Figure 6 For components not shown, please refer to existing technologies.

[0146] like Figure 6 As shown, the central processing unit 1001, sometimes also referred to as a controller or operation control, may include a microprocessor or other processor device and / or logic device. The central processing unit 1001 receives input and controls the operation of various components of the computer device 1000.

[0147] The memory 1002 may be, for example, one or more of a cache, flash memory, hard drive, removable medium, volatile memory, non-volatile memory, or other suitable device. It may store the aforementioned failure-related information, and also store a program for executing that information. The central processing unit 1001 may execute the program stored in the memory 1002 to perform information storage or processing, etc.

[0148] Input unit 1004 provides input to central processing unit 1001. This input unit 1004 may be, for example, a keypad or touch input device. Power supply 1007 provides power to computer device 1000. Display 1006 displays images, text, and other display objects. This display may be, for example, an LCD display, but is not limited to this.

[0149] The memory 1002 can be a solid-state memory, such as a read-only memory (ROM), random access memory (RAM), a SIM card, etc. It can also be a memory that retains information even when power is off, can be selectively erased, and contains more data; examples of this type of memory are sometimes referred to as EPROMs. The memory 1002 can also be some other type of device. The memory 1002 includes a buffer memory 1021 (sometimes referred to as a buffer). The memory 1002 may include an application / function storage unit 1022 for storing application programs and function programs or processes for executing operations of the computer device 1000 via the central processing unit 1001.

[0150] The memory 1002 may also include a data storage unit 1023 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the computer device. The driver storage unit 1024 of the memory 1002 may include various drivers for the computer device for communication functions and / or for performing other functions of the computer device (such as messaging applications, address book applications, etc.).

[0151] The communication module 1003 is a transmitter / receiver 1003 that transmits and receives signals via the antenna 1008. The communication module (transmitter / receiver) 1003 is coupled to the central processing unit 1001 to provide input signals and receive output signals, which can be the same as in a conventional mobile communication terminal.

[0152] Based on different communication technologies, multiple communication modules 1003 can be configured in the same computer device, such as cellular network modules, Bluetooth modules, and / or wireless LAN modules. The communication module (transmitter / receiver) 1003 is also coupled to a speaker 1009 and a microphone 1010 via an audio processor 1005 to provide audio output via the speaker 1009 and receive audio input from the microphone 1010, thereby realizing typical telecommunications functions. The audio processor 1005 may include any suitable buffer, decoder, amplifier, etc. Furthermore, the audio processor 1005 is also coupled to a central processing unit 1001, enabling on-device recording via the microphone 1010 and on-device playback of stored sound via the speaker 1009.

[0153] This invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the aforementioned data center inspection method.

[0154] This invention also provides a computer program product, which includes a computer program that, when executed by a processor, implements the above-described data center inspection method.

[0155] In this embodiment of the invention, the data center inspection scheme utilizes an inspection robot system to inspect the power distribution room of the data center and collect inspection data from different locations within the data center. The inspection data includes visible light monitoring data from different locations. A data processing unit is used to identify image focus anomalies in the inspection data and determine whether target data with image focus anomalies exists. If so, an adjustment command is issued to adjust the airflow at the target location corresponding to the target data. An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command. The inspection robot system is further used for: After the air conditioning control system adjusts the airflow direction and speed at the target location, data is collected again at the target location. This solves the problem of abnormal inspection data collection caused by interference from the air conditioning in the computer room, which affects the inspection recognition rate. This optimizes the control system for inspection robots in the complex power room environment of ultra-large data centers. It can still accurately collect the operating status of the power distribution room equipment when the airflow organization speed of the computer room air conditioning is fast. It strengthens the interaction between the inspection robot system and the precision air conditioning system of the computer room, improves the recognition efficiency and accuracy of the inspection robot, and thus improves the operation and maintenance efficiency of the computer room and reduces the waste of human resources.

[0156] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0157] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0158] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0159] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0160] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A data center inspection system, characterized in that, include: The inspection robot system is used to inspect the power distribution room of the data center and collect inspection data at different locations in the data center. The inspection data includes visible light monitoring data at different locations; The data processing unit is used to identify abnormal image focusing states in the inspection data and determine whether there are target data with abnormal image focusing states in the inspection data. If it exists, an adjustment command is issued to adjust the air conditioning output at the target location corresponding to the target data; An air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location according to the adjustment command; The inspection robot system is also used to: collect data on the target location again after the air conditioning control system adjusts the air direction and speed of the air conditioner at the target location.

2. The system as described in claim 1, characterized in that, The inspection data specifically includes: visible light monitoring data of cabinet indicator lights, switches and meters on the power equipment in different locations; the power equipment in the power equipment room includes dry-type transformers, uninterruptible power supplies and precision distribution cabinets.

3. The system as described in claim 1, characterized in that, Inspection robot system, specifically used for: The system uses a pre-set inspection path to inspect the power distribution room of the data center and collects inspection data from different locations within the data center.

4. The system as described in claim 1, characterized in that, The data processing unit is specifically used for: For each location, the current batch of inspection data at that location will be used to identify image focus anomalies and determine whether there are target data with image focus anomalies in the current batch of inspection data. If the target data exists in the current batch of inspection data, then the image focusing anomaly status is identified in the next batch of inspection data to determine whether the target data exists in the next batch of inspection data. Repeat the above steps until the target data is found in the inspection data of the next preset number of batches after the current batch, or the target data is not found in the inspection data of the next batch.

5. The system as described in claim 4, characterized in that, The data processing unit is specifically used for: When target data is found in the inspection data of a preset number of batches following the current batch, an adjustment command is issued to readjust the air conditioner outlet at the target location corresponding to the target data. The air conditioning control system is used to adjust the airflow direction and speed of the air conditioner at the target location again according to the adjustment command.

6. The system as described in claim 1, characterized in that, Inspection robot systems are also used for: After data is collected again at the target location, a notification message carrying the re-collected inspection data is sent to the data processing unit; the notification message is used by the data processing unit to identify the abnormal image focus state of the re-collected inspection data.

7. The system as described in claim 6, characterized in that, The data processing unit is also used for: The image focusing anomaly status of the re-collected inspection data is identified to determine whether there is target data with an image focusing anomaly status in the re-collected inspection data. If present, a control command is sent to the inspection robot system to collect data from the target location three times. The system receives inspection data from the inspection robot system, which collects data from the target location three times according to the control command, and determines whether there is target data with an abnormal image focus in the three collected inspection data. The above steps are repeated until the number of times the inspection robot system collects data from the target location exceeds a preset number.

8. The system as described in claim 7, characterized in that, The data processing unit is also used for: When the inspection robot system collects data from the target location more than a preset number of times, it issues an alarm command that the target location needs to be manually inspected.

9. The system as described in claim 7, characterized in that, The data processing unit is also used for: If it is determined that there is no target data with an abnormal image focus in the re-collected inspection data, then the target location and the multiple inspection data collected at the target location are recorded.

10. The system as claimed in claim 1, characterized in that, Image focus anomaly status is used to describe the state of an image being blurry and / or the required digits in the image not being displayed completely.

11. The system as claimed in claim 1, characterized in that, The data processing unit is specifically used for: The inspection data is used to identify abnormal image focus and determine whether there is any data in the inspection data where either the image clarity or the point data alignment is lower than a preset value. Data in the inspection data that has either image clarity or point data alignment value lower than a preset value is identified as target data with an abnormal image focus state in the inspection data.

12. The system as claimed in claim 1, characterized in that, The inspection robot system is also used to: after collecting data from the target location again, send a notification command to the air conditioning control system to restore the air direction and wind speed of the air conditioner at the target location.

13. The system as described in claim 12, characterized in that, Air conditioning control systems are also used for: According to the notification instruction, the wind direction and wind speed at the target location will be restored to their original values.

14. A method for inspecting a data center, characterized in that, The method, applied to the inspection system of a data center as described in any one of claims 1-13, comprises: The inspection robot system inspects the power distribution room of the data center and collects inspection data at different locations in the data center; the inspection data includes visible light monitoring data at different locations; The data processing unit identifies abnormal image focusing states in the inspection data and determines whether there are target data with abnormal image focusing states in the inspection data; if so, it issues an adjustment command to adjust the air conditioning vent at the target location corresponding to the target data. The air conditioning control system adjusts the airflow direction and speed at the target location according to the adjustment command. After the air conditioning control system adjusts the air direction and speed at the target location, the inspection robot system collects data at the target location again.

15. The method as described in claim 14, characterized in that, The inspection data specifically includes: visible light monitoring data of cabinet indicator lights, switches and meters on the power equipment in different locations; the power equipment in the power equipment room includes dry-type transformers, uninterruptible power supplies and precision distribution cabinets.

16. The method as described in claim 14, characterized in that, The inspection robot system inspects the power distribution room of the data center, collecting inspection data from different locations within the data center, including: The inspection robot system uses a pre-set inspection path to inspect the power distribution room of the data center and collect inspection data from different locations within the data center.

17. The method as described in claim 14, characterized in that, The data processing unit identifies image focus anomalies in the inspection data, determining whether target data with image focus anomalies exists within the inspection data, including: For each location, the data processing unit will identify the image focus anomaly status of the current batch of inspection data at that location, and determine whether there is target data with an image focus anomaly status in the current batch of inspection data. If the target data exists in the current batch of inspection data, then the image focusing anomaly status is identified in the next batch of inspection data to determine whether the target data exists in the next batch of inspection data. Repeat the above steps until the target data is found in the inspection data of the next preset number of batches after the current batch, or the target data is not found in the inspection data of the next batch.

18. The method as described in claim 17, characterized in that, The data processing unit issues an adjustment command for adjusting the air conditioning vents at the target location corresponding to the target data, including: When target data is found in the inspection data of a preset number of batches following the current batch, an adjustment command is issued to readjust the air conditioner outlet at the target location corresponding to the target data. The air conditioning control system adjusts the airflow direction and speed at the target location according to the adjustment command, including: The air conditioning control system then adjusts the airflow direction and speed at the target location again according to the adjustment command.

19. The method as described in claim 14, characterized in that, Also includes: After collecting data from the target location again, the inspection robot system sends a notification message containing the newly collected inspection data to the data processing unit. The notification information is used by the data processing unit to identify abnormal image focus in the re-collected inspection data.

20. The method as described in claim 19, characterized in that, Also includes: The data processing unit identifies the abnormal image focus state in the re-collected inspection data and determines whether there is target data with an abnormal image focus state in the re-collected inspection data. If present, a control command is sent to the inspection robot system to collect data from the target location three times. The system receives inspection data from the inspection robot system, which collects data from the target location three times according to the control command, and determines whether there is target data with an abnormal image focus in the three collected inspection data. The above steps are repeated until the number of times the inspection robot system collects data from the target location exceeds a preset number.

21. The method as described in claim 20, characterized in that, Also includes: When the number of times the inspection robot system collects data at the target location exceeds a preset number, the data processing unit issues an alarm command that the target location needs to be manually inspected.

22. The method as described in claim 20, characterized in that, Also includes: If the data processing unit determines that there is no target data with an abnormal image focus in the re-collected inspection data, it records the target location and the multiple inspection data collected at the target location.

23. The method as described in claim 14, characterized in that, Image focus anomaly status is used to describe the state of an image being blurry and / or the required digits in the image not being displayed completely.

24. The method as described in claim 14, characterized in that, The data processing unit identifies image focus anomalies in the inspection data, determining whether target data with image focus anomalies exists within the inspection data, including: The inspection data is used to identify abnormal image focus and determine whether there is any data in the inspection data where either the image clarity or the point data alignment is lower than a preset value. Data in the inspection data that has either image clarity or point data alignment value lower than a preset value is identified as target data with an abnormal image focus state in the inspection data.

25. The method as described in claim 14, characterized in that, Also includes: After collecting data at the target location again, the inspection robot system sends a notification command to the air conditioning control system to restore the air direction and speed of the air conditioner at the target location.

26. The method as described in claim 25, characterized in that, Also includes: According to the notification instruction, the air conditioning control system will restore the wind direction and wind speed at the target location to their previous values.

27. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 14 to 26.

28. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method of any one of claims 14 to 26.

29. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method of any one of claims 14 to 26.

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