Intelligent inspection method and system suitable for computer room management

Abstract

An intelligent inspection method and system suitable for computer room management, relating to the field of intelligent inspection, can be applied to the financial field and other fields, the method comprising: constructing a three-dimensional model according to the position data and device parameters of a machine unit inside a machine room to be inspected; calibrating a detection area in the three-dimensional model according to the model information of each machine unit, providing the detection area to an intelligent robot, and generating detection data by the intelligent robot; binding the detection data and the current first position information of the intelligent robot to generate inspection data, and obtaining the position of a faulty device and a fault parameter rule according to the inspection data; obtaining the second position information of each intelligent robot in the machine room to be inspected according to the position of the faulty device, and generating a re-inspection planning path through a path planning algorithm through the second position information, the position of the faulty device and the three-dimensional model; sending the re-inspection planning path and the fault parameter rule to the corresponding intelligent robot for re-inspection, and obtaining an inspection result from the re-inspection result and the inspection data.

Description

Technical Field

[0001] The present invention relates to the field of intelligent inspection, and can be applied to the financial field and other fields, and in particular to an intelligent inspection method and system suitable for computer room management. Background Art

[0002] With the wave of digitalization and dataization, areas such as computer rooms have become particularly important. The relevant maintenance of computer rooms currently mainly adopts the method of manual inspection and maintenance, which has high requirements on the professionalism and real-time performance of personnel and has certain safety risks.

[0003] To address this problem, the existing technology provides a robot alternative that uses patrol equipment to perform inspections on schedule, that is, using patrol robots to patrol designated paths according to preset cycles. However, this process requires staff to specify the path in advance and has more stringent requirements for the patrol equipment, such as consistent horizontal height of the observation position, consistent observation angle, etc., which results in a narrow range of applicability of intelligent patrol technology in actual applications and is difficult to promote on a large scale.

[0004] At the same time, the inspection route is difficult to adjust after it is formulated, and it is impossible to flexibly collect data for individual devices among the full set of devices. The staff can only obtain the target device information by screening one by one after all the relevant data of the inspection equipment has been collected, which greatly reduces the inspection efficiency; and there are cases of false detection and misjudgment. Summary of the invention

[0005] The present invention aims to provide an intelligent inspection method and system suitable for computer room management, which can reduce the workload of staff and improve inspection efficiency and accuracy while realizing unmanned computer room and environmental inspection.

[0006] To achieve the above-mentioned purpose, the present invention provides an intelligent inspection method suitable for computer room management, the method comprising: constructing a three-dimensional model according to the position data and device parameters of the internal unit of the computer room to be inspected; calibrating the detection area in the three-dimensional model according to the model information of each unit, providing the detection area to an intelligent robot, and the intelligent robot collecting the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data; binding the detection data and the current first position information of the intelligent robot to generate inspection data, and comparing the inspection data with preset standard data and the three-dimensional model to obtain the position of the faulty equipment and the fault parameter rules; obtaining the second position information of each intelligent robot in the computer room to be inspected according to the position of the faulty equipment, and generating a re-inspection planning path through a path planning algorithm through the second position information, the position of the faulty equipment and the three-dimensional model; sending the re-inspection planning path and the fault parameter rules to the corresponding intelligent robot for re-inspection, and obtaining the inspection result from the re-inspection result and the inspection data.

[0007] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, calibrating the detection area in the three-dimensional model according to the model information of each unit includes: calibrating the parameter observation window position and height data of each unit in the three-dimensional model according to the model information of each unit; generating the detection area according to the position information of each unit and the corresponding parameter observation window position and height data.

[0008] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, the intelligent robot generates inspection data by collecting equipment instrument data of corresponding units on a preset inspection trajectory path according to the inspection area, which includes: the intelligent robot generates observation control parameters according to the parameter observation window position and height data in the inspection area; based on the comparison result between the current position information of the intelligent robot and the position information of each unit, the observation control parameters of the corresponding unit are called to perform image acquisition of equipment instrument readings to obtain equipment instrument data of the corresponding unit; and the inspection data is generated according to the equipment instrument data of each unit on the preset inspection trajectory.

[0009] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, calling the observation control parameters of the corresponding unit to perform image acquisition of equipment instrument readings to obtain the equipment instrument data of the corresponding unit also includes: identifying the proportion of reflected light area in the equipment instrument data through an image recognition algorithm; when the proportion of reflected light area is greater than a preset threshold, adjusting the observation control parameters according to preset parameter adjustment rules; and performing another image acquisition on the equipment instrument readings of the corresponding unit through the adjusted observation control parameters to obtain the equipment instrument data of the corresponding unit.

[0010] In the above-mentioned intelligent inspection method applicable to computer room management, preferably, obtaining the second position information of each intelligent robot in the computer room to be inspected according to the location of the faulty equipment, and generating a re-inspection planning path through a path planning algorithm through the second position information, the location of the faulty equipment and the three-dimensional model also includes: obtaining the current energy value of each intelligent robot in the computer room to be inspected according to the location of the faulty equipment, and calculating the inspection completion degree according to the current energy value and the re-inspection planning path; generating a charging task when the inspection completion degree is lower than a preset ratio, and adjusting the re-inspection planning path according to the charging task and the preset charging port position.

[0011] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, adjusting the re-inspection planning path according to the charging task and the preset charging port position includes: determining the remaining path of the task by the re-inspection planning path and the second position information of the intelligent robot; and obtaining the re-inspection planning path by calculating the path planning algorithm according to the positions of each faulty device in the remaining path of the task and the preset charging port position.

[0012] In the above-mentioned intelligent inspection method applicable to computer room management, preferably, the method further includes: generating an alarm signal when the current energy value of the intelligent robot is lower than a preset threshold; obtaining the task status of the intelligent robot according to the alarm signal, and when the task status is idle, querying the position of the charging port inside the computer room to be inspected according to the current position of the intelligent robot; generating a charging path according to the charging port position and the current position of the intelligent robot, and controlling the intelligent robot to charge according to the charging path.

[0013] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, after obtaining the task status of the intelligent robot according to the alarm signal, it also includes: when the task status is a working status, obtaining the remaining inspection tasks of the intelligent robot; obtaining the position information and current energy values ​​of other intelligent robots inside the computer room to be inspected according to the remaining inspection tasks; and distributing the remaining inspection tasks to the corresponding intelligent robots according to the position information and current energy values ​​of other intelligent robots.

[0014] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, the inspection data is compared with the preset standard data and the three-dimensional model respectively to obtain the location of the faulty equipment and the fault parameter rules also include: obtaining environmental data within a preset area, and obtaining the error threshold of the equipment operation parameters based on the environmental data; analyzing the detection data of the corresponding equipment in the inspection data according to the error threshold and the preset standard data to obtain the location of the faulty equipment.

[0015] In the above-mentioned intelligent inspection method suitable for computer room management, preferably, the intelligent robot collects equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the inspection area to generate inspection data, which also includes: collecting posture information of the corresponding unit on the preset inspection trajectory path at multiple angles by at least two intelligent robots, and obtaining the placement status of the corresponding unit according to the posture information; generating inspection data according to the equipment instrument data and / or the placement status.

[0016] The present invention also provides an intelligent inspection system suitable for computer room management, the system comprises an intelligent robot and a control terminal; the control terminal is used to construct a three-dimensional model according to the position data and device parameters of the internal unit of the computer room to be inspected; the detection area in the three-dimensional model is calibrated according to the model information of each unit, and the detection area is provided to the intelligent robot; and the inspection data is compared with the preset standard data and the three-dimensional model to obtain the position of the faulty equipment and the fault parameter rule; the second position information of each intelligent robot in the computer room to be inspected is obtained according to the position of the faulty equipment, and a re-inspection planning path is generated through a path planning algorithm through the second position information, the position of the faulty equipment and the three-dimensional model; the re-inspection planning path and the fault parameter rule are sent to the corresponding intelligent robot for re-inspection, and the inspection result is obtained from the re-inspection result and the inspection data; the intelligent robot is used to collect the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data; the detection data and the current first position information of the intelligent robot are bound to generate inspection data; and re-inspection is performed according to the re-inspection planning path and the fault parameter rule, and the re-inspection result is fed back to the control terminal.

[0017] In the above-mentioned intelligent inspection system suitable for computer room management, preferably, the intelligent robot comprises an action mechanism, a telescopic component, an image acquisition module, a charging adapter module and a positioning module; the action mechanism is used to control the intelligent robot to move in a preset direction; the telescopic component is used to raise or lower the image acquisition module mounted thereon to a predetermined position according to a control instruction; the image acquisition module comprises a binocular camera, and the binocular camera is used to collect instrument data of a preset observation window; the charging adapter module is used to confirm the position angle of the charging port through an infrared ranging unit or a near-field communication module, and generate control parameters according to the position angle of the charging port to control the action mechanism to guide the intelligent robot to the charging port; the positioning module is used to calculate the current position information based on the signal source emitted by multiple signal transmitters at preset positions in the computer room, and provide the current position information to the control terminal.

[0018] In the above-mentioned intelligent inspection system suitable for computer room management, preferably, the intelligent robot also includes an environment detection module, and the environment detection module is used to collect environmental data in the current area and provide the environmental data to the control terminal.

[0019] In the above-mentioned intelligent inspection system suitable for computer room management, preferably, the control terminal also includes a processing module, and the processing module is used to perform temperature control, dehumidification and / or dust removal on the corresponding area according to the comparison result of the environmental data and the standard environmental data.

[0020] In the above-mentioned intelligent inspection system suitable for computer room management, preferably, the intelligent robot also includes a human body sensing module and a near-field communication module; the near-field communication module is used to detect the identity information stored in the tag carried by users within a predetermined range, and suspend or close the early warning task according to the comparison result between the identity information and the preset maintenance table; the human body sensing module is used to collect the distance between the personnel in the preset area and the intelligent robot according to the early warning task; when the distance is lower than the preset distance value, an alarm signal is generated and provided to the control terminal.

[0021] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above method when executing the computer program.

[0022] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for executing the above method.

[0023] The beneficial technical effects of the present invention are: it can effectively improve the inspection efficiency of important areas and reduce related risks; at the same time, the joint use of multiple intelligent robots also greatly improves the real-time performance of inspections; the optimized inspection path designation also improves equipment inspection efficiency while reducing energy waste. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings described herein are used to provide a further understanding of the present invention, constitute a part of the present application, and do not constitute a limitation of the present invention. In the drawings:

[0025] Figure 1 A flow chart of an intelligent inspection method applicable to computer room management provided by an embodiment of the present invention;

[0026] Figure 2 A schematic diagram of a process for obtaining a detection area provided by an embodiment of the present invention;

[0027] Figure 3 A schematic diagram of a process for collecting equipment instrument data provided by an embodiment of the present invention;

[0028] Figure 4 A schematic diagram of a process of energy scheduling provided by an embodiment of the present invention;

[0029] Figure 5 A schematic diagram of a charging scheduling process provided by an embodiment of the present invention;

[0030] Figure 6 A schematic diagram of a fault analysis process provided by an embodiment of the present invention;

[0031] Figure 7A schematic diagram of a process for acquiring detection data provided by an embodiment of the present invention;

[0032] Figure 8 A schematic diagram of the structure of an intelligent inspection system applicable to computer room management provided by an embodiment of the present invention;

[0033] Fig. 9 The figure is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will describe the implementation methods of the present invention in detail with reference to the accompanying drawings and embodiments, so that the implementation process of how the present invention applies technical means to solve technical problems and achieve technical effects can be fully understood and implemented accordingly. It should be noted that as long as there is no conflict, the various embodiments of the present invention and the various features in the embodiments can be combined with each other, and the technical solutions formed are all within the protection scope of the present invention.

[0035] In addition, the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be performed in an order different from that shown here.

[0036] Please refer to Figure 1 As shown, the intelligent inspection method applicable to computer room management provided by the present invention comprises:

[0037] S101 constructs a three-dimensional model based on the location data and device parameters of the internal units of the room to be inspected;

[0038] S102 calibrates the detection area in the three-dimensional model according to the model information of each unit, provides the detection area to the intelligent robot, and the intelligent robot collects the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data;

[0039] S103: Binding the detection data and the current first position information of the intelligent robot to generate inspection data, and comparing the inspection data with the preset standard data and the three-dimensional model to obtain the faulty equipment location and fault parameter rules;

[0040] S104 obtains second position information of each intelligent robot in the inspection room according to the position of the faulty device, and generates a re-inspection planning path through a path planning algorithm using the second position information, the position of the faulty device and the three-dimensional model;

[0041] S105 sends the re-inspection planning path and the fault parameter rule to the corresponding intelligent robot for re-inspection, and obtains the inspection result from the re-inspection result and the inspection data.

[0042] Specifically, in actual work, a three-dimensional model can be constructed according to the internal conditions of the equipment in the computer room to be inspected and the internal space of the computer room through the existing three-dimensional graphics construction method, and then based on the three-dimensional model, the observation windows of each device are marked respectively, so as to further improve the traditional plane inspection strategy into a three-dimensional inspection strategy; secondly, the three-dimensional model is used in combination with the path planning algorithm to complete the re-inspection of the problem equipment or key equipment in real time, avoiding the waste of resources caused by manually formulating the inspection route; at the same time, when there are multiple intelligent robots in the computer room, the inspection tasks can be efficiently distributed to reduce unnecessary energy loss.

[0043] Please refer to Figure 2 As shown, in one embodiment of the present invention, the detection area in the three-dimensional model is calibrated according to the model information of each unit to include:

[0044] S201 calibrates the parameter observation window position and height data of each unit in the three-dimensional model according to the model information of each unit;

[0045] S202 generates a detection area according to the position information of each unit and the corresponding parameter observation window position and height data.

[0046] Furthermore, the intelligent robot generates detection data by collecting the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area, which includes: the intelligent robot generates observation control parameters according to the parameter observation window position and height data in the detection area; according to the comparison result between the current position information of the intelligent robot and the position information of each unit, the observation control parameters of the corresponding unit are called to collect the image of the equipment instrument reading to obtain the equipment instrument data of the corresponding unit; and the detection data is generated according to the equipment instrument data of each unit on the preset inspection trajectory path. In actual work, a three-dimensional model can be constructed in advance according to the unit position data and device parameters inside the machine room; the parameter observation window position in the three-dimensional model is calibrated based on the three-dimensional model and the product model of each unit; the intelligent robot observation control parameters are generated according to the observation window position and the coordinate position of the unit in the three-dimensional model; and the intelligent robot is controlled to perform corresponding inspections through the observation control parameters and the inspection data. Among them, the preset inspection trajectory path can be obtained by calculating the optimal path inspection algorithm according to the inspection requirements; it can also be obtained by calculating other path algorithms, and the present invention is not further limited here.

[0047] Please refer to Figure 3As shown, in one embodiment of the present invention, calling the observation control parameters of the corresponding unit to perform image acquisition of equipment instrument readings to obtain equipment instrument data of the corresponding unit also includes:

[0048] S301 identifies the proportion of reflected light areas in the equipment instrument data by using an image recognition algorithm;

[0049] S302: when the proportion of the reflected light area is greater than a preset threshold, adjusting the observation control parameter according to a preset parameter adjustment rule;

[0050] S303 performs image acquisition again on the equipment instrument readings of the corresponding unit through the adjusted observation control parameters to obtain the equipment instrument data of the corresponding unit.

[0051] In the above embodiment, the observation control parameters include control parameters for adjusting the camera position of the intelligent robot to the corresponding observation window of the unit, such as rotation scales such as elevation angle and rotation angle, scale data of the camera rising and falling, etc.; the camera assists in setting an image recognition module when shooting the observation window, and uses the image recognition module to determine whether there is reflected light. When reflected light exists, the camera shooting angle is adjusted according to a predetermined lens adjustment rule and the display data in the observation window of the unit is collected. In actual work, the image recognition reflection method can be implemented using existing technology, and the present invention will not be illustrated one by one here.

[0052] Please refer to Figure 4 As shown, in one embodiment of the present invention, obtaining the second position information of each intelligent robot in the inspection room according to the position of the faulty device, and generating a re-inspection planning path through a path planning algorithm using the second position information, the position of the faulty device and the three-dimensional model also includes:

[0053] S401 obtains the current energy value of each intelligent robot in the room to be inspected according to the location of the faulty equipment, and obtains the inspection completion degree according to the current energy value and the re-inspection planning path calculation;

[0054] S402 generates a charging task when the inspection completion rate is lower than a preset ratio, and adjusts the re-inspection planning path according to the charging task and the preset charging port position.

[0055] Specifically, adjusting the re-inspection planning path according to the charging task and the preset charging port position includes: determining the remaining path of the task by using the re-inspection planning path and the second position information of the intelligent robot; and obtaining the re-inspection planning path by calculating through a path planning algorithm according to the positions of each faulty device in the remaining path of the task and the preset charging port position.

[0056] In actual work, the above embodiments can determine the remaining task path of the intelligent robot according to the inspection planning path and the current task completion node; obtain the shortest moving distance through the path planning algorithm according to the terminal target position information of the inspection planning path and the preset one or more charging port position information; determine the task completion path according to the shortest moving distance and the remaining task path; further, the standard moving distance can be calculated according to the current energy value; and adjust the inspection planning path according to the comparison result between the standard moving distance and the task completion path. When the standard moving distance is less than the task completion path, locate the nearest charging port position in the machine room according to the current position data of the intelligent robot, re-plan the inspection path and adjust the current inspection planning path according to the charging port position and the position of the remaining equipment to be detected through the path optimization algorithm; when the standard moving distance is greater than the task completion path, continue to execute the current inspection planning path task. In another embodiment, when the standard moving distance is less than the task completion path, remaining target position data and a signal to be charged can be generated according to the inspection task and current position of the intelligent robot; the remaining target position data and the signal to be charged are provided to the control terminal; the control terminal retrieves the information of the currently idle intelligent robot according to the signal to be charged; the intelligent robot with the highest completion efficiency is determined by screening through a preset optimization comparison algorithm based on the position information of each intelligent robot in the currently idle intelligent robot information and the remaining target position data; and the inspection planning path task generated according to the remaining target position data is executed.

[0057] Please refer to Figure 5 As shown, in one embodiment of the present invention, the method further comprises:

[0058] S501 generates an alarm signal when the current energy value of the intelligent robot is lower than a preset threshold;

[0059] S502 obtains the task status of the intelligent robot according to the alarm signal, and when the task status is idle, queries the location of the charging port inside the inspection room according to the current location of the intelligent robot;

[0060] S503 generates a charging path according to the position of the charging port and the current position of the intelligent robot, and controls the intelligent robot to charge according to the charging path.

[0061] In the above embodiment, after obtaining the task status of the intelligent robot according to the alarm signal, it also includes: when the task status is the working status, obtaining the remaining inspection tasks of the intelligent robot; obtaining the position information and current energy values ​​of other intelligent robots inside the room to be inspected according to the remaining inspection tasks; and distributing the remaining inspection tasks to the corresponding intelligent robots according to the position information and current energy values ​​of other intelligent robots. Specifically, in actual work, this embodiment can effectively confirm the power status of each intelligent robot, and perform task distribution and robot scheduling based on the power, providing effective protection for the inspection management of the room; the charging path planning method can adopt the existing path planning algorithm, which will not be introduced separately in the present invention.

[0062] Please refer to Figure 6 As shown, in one embodiment of the present invention, the inspection data is compared with the preset standard data and the three-dimensional model to obtain the location of the faulty equipment and the fault parameter rule further includes:

[0063] S601 obtains environmental data in a preset area, and obtains an error threshold of a device operating parameter according to the environmental data;

[0064] S602: Analyze the detection data of the corresponding equipment in the inspection data according to the error threshold and the preset standard data to obtain the location of the faulty equipment.

[0065] Specifically, in actual work, the intelligent robot can further collect environmental data of the current inspection area, such as temperature, humidity and dust content, compare these environmental data with the preset environmental standard data, obtain whether the environment is abnormal, and generate an error threshold according to the preset rules based on the abnormal situation to confirm whether the equipment is faulty; for example, the standard operating temperature of device A should be 40 degrees at a normal temperature of 20 degrees, but when the ambient temperature is increased to 30 degrees, the operating temperature of device A is normal even if it reaches 45 degrees, and the error threshold is a temperature difference of 5 degrees; similarly, when the dust content is X and below, the operating temperature of device A should be 40 degrees, but when the dust content is higher than Y (Y is greater than X), the operating temperature of device A may have an error of Z degrees. At the same time, the environmental data can also be used to manage the equipment in the computer room. For example, when the temperature data is higher than the preset threshold, the operating temperature of each device in the computer room is relatively high at this moment. Therefore, when judging the faulty equipment, the error threshold can be calculated according to the current temperature, and the operating parameters of each device can be further screened based on the error threshold to confirm whether there is a fault. When the humidity data is higher than the preset threshold, the current humidity at this moment poses a risk of affecting the normal operation of the equipment, so a control signal is generated to mobilize the corresponding equipment to perform dehumidification processing or further analyze the cause of the humidity increase; when the dust content is higher than the preset threshold, the preset mechanism is called to perform dust removal processing, and the temperature threshold is adaptively adjusted to reduce the risk of false temperature alarms; when the dust removal processing is completed, the temperature threshold is restored; the specific operation management logic can be selected and set according to actual needs, and the present invention will not give examples one by one here.

[0066] Please refer to Figure 7 As shown, in one embodiment of the present invention, the intelligent robot collects equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the inspection area to generate inspection data, which also includes:

[0067] S701 collects posture information of the corresponding unit at multiple angles on a preset inspection trajectory path by at least two intelligent robots, and obtains the placement state of the corresponding unit according to the posture information;

[0068] S702 generates detection data according to the equipment instrument data and / or the placement status.

[0069] In actual work, at least two of the intelligent robots can be controlled to capture images of the target device, and the posture information of the target device can be obtained based on the captured images and the operating parameters of the image acquisition device of the intelligent robots, and the operating status of the target device can be analyzed based on the posture information. For example, the standard posture of the current device can be determined based on a pre-built three-dimensional model, and the posture information of the current device can be compared with the standard posture, and the operating status of the current target device can be determined based on the matching similarity. Of course, relevant technicians in this field can also confirm the device posture through other learning algorithms, recognition algorithms or image comparison algorithms, and the present invention does not impose further restrictions on this.

[0070] Please refer to Figure 8 As shown, the present invention also provides an intelligent inspection system suitable for computer room management, the system includes an intelligent robot and a control terminal; the control terminal is used to construct a three-dimensional model according to the position data and device parameters of the internal unit of the computer room to be inspected; the detection area in the three-dimensional model is calibrated according to the model information of each unit, and the detection area is provided to the intelligent robot; and the inspection data is compared with the preset standard data and the three-dimensional model to obtain the faulty device position and the fault parameter rule; the second position information of each intelligent robot in the computer room to be inspected is obtained according to the faulty device position, and a re-inspection planning path is generated through a path planning algorithm through the second position information, the faulty device position and the three-dimensional model; the re-inspection planning path and the fault parameter rule are sent to the corresponding intelligent robot for re-inspection, and the inspection result is obtained from the re-inspection result and the inspection data; the intelligent robot is used to collect the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data; the detection data and the current first position information of the intelligent robot are bound to generate inspection data; and re-inspection is performed according to the re-inspection planning path and the fault parameter rule, and the re-inspection result is fed back to the control terminal.

[0071] In the above embodiment, the intelligent robot may include an action mechanism, a telescopic member, an image acquisition module, a charging adapter module and a positioning module; the action mechanism is used to control the intelligent robot to move in a preset direction; the telescopic member is used to raise or lower the image acquisition module mounted thereon to a predetermined position according to the control instruction; the image acquisition module includes a binocular camera, and the binocular camera is used to collect instrument data of a preset observation window; the charging adapter module is used to confirm the position angle of the charging port through an infrared ranging unit or a near field communication module, and generate control parameters according to the position angle of the charging port to control the action mechanism to guide the intelligent robot to the charging port; the positioning module is used to calculate the current position information according to the signal source emitted by multiple signal transmitters at the preset position of the machine room, and provide the current position information to the control terminal. In actual work, the action mechanism may include a rear wheel drive unit and a controllable steering wheel group; the controllable steering wheel group is used to adjust the steering angle according to the control signal, and the rear wheel drive unit is used to provide the rear wheel with a forward or backward driving force according to the control signal. The telescopic member may be a hydraulic telescopic rod structure or other telescopic control structure.

[0072] In one embodiment of the present invention, the intelligent robot further comprises an environment detection module, the environment detection module is used to collect environment data in the current area and provide the environment data to the control terminal; in another embodiment, the control terminal further comprises a processing module, the processing module is used to perform temperature adjustment, dehumidification and / or dust removal on the corresponding area according to the comparison result between the environment data and the standard environment data. The specific application methods of the environment detection module and the processing module have been described in detail in the above embodiments, and will not be listed in detail here.

[0073] In one embodiment of the present invention, the intelligent robot further comprises a human body sensing module and a near field communication module; the near field communication module is used to detect the identity information stored in the tag carried by the user within the predetermined range, and suspend or close the warning task according to the comparison result between the identity information and the preset maintenance table; the human body sensing module is used to collect the distance between the personnel in the preset area and the intelligent robot according to the warning task; when the distance is lower than the preset distance value, an alarm signal is generated and provided to the control terminal. Specifically, in actual work, each intelligent robot also carries an identity tag for communication, and each staff member also carries an identity tag; the identity tag is used to store identity information; the control terminal authorizes the identity information according to the preset authority rules to generate a maintenance table, and distributes the maintenance table to the intelligent robot for storage. Each intelligent robot indicates its own identity and determines the identity information of the nearby personnel or intelligent robot according to the identity tag. The staff can use the identity information to specify the maintenance plan and specify the intelligent robot to perform related inspection operations according to their different permissions, thereby facilitating the inspection of some equipment due to specific needs or specific environments, thereby ensuring the operation safety of key equipment.

[0074] The beneficial technical effects of the present invention are: it can effectively improve the inspection efficiency of important areas and reduce related risks; at the same time, the joint use of multiple intelligent robots also greatly improves the real-time performance of inspections; the optimized inspection path designation also improves equipment inspection efficiency while reducing energy waste.

[0075] The present invention also provides a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above method when executing the computer program.

[0076] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for executing the above method.

[0077] like Fig. 9 As shown, the electronic device 600 may further include: a communication module 110, an input unit 120, an audio processing unit 130, a display 160, and a power supply 170. It is worth noting that the electronic device 600 does not necessarily have to include Fig. 9 In addition, the electronic device 600 may also include Fig. 9 For components not shown, reference may be made to the prior art.

[0078] like Fig. 9 As shown, the central processor 100 is sometimes also referred to as a controller or an operation control, and may include a microprocessor or other processor devices and / or logic devices. The central processor 100 receives inputs and controls the operations of various components of the electronic device 600.

[0079] The memory 140 may be, for example, one or more of a cache, a flash memory, a hard drive, a removable medium, a volatile memory, a non-volatile memory or other suitable devices. The above-mentioned information related to the failure may be stored, and a program for executing the relevant information may also be stored. The CPU 100 may execute the program stored in the memory 140 to implement information storage or processing.

[0080] The input unit 120 provides input to the CPU 100. The input unit 120 is, for example, a key or a touch input device. The power supply 170 is used to provide power to the electronic device 600. The display 160 is used to display display objects such as images and text. The display may be, for example, an LCD display, but is not limited thereto.

[0081] The memory 140 may be a solid-state memory, such as a read-only memory (ROM), a random access memory (RAM), a SIM card, etc. It may also be a memory that saves information even when the power is off, can be selectively erased, and is provided with more data, examples of which are sometimes referred to as EPROMs, etc. The memory 140 may also be some other type of device. The memory 140 includes a buffer memory 141 (sometimes referred to as a buffer). The memory 140 may include an application / function storage unit 142, which is used to store application programs and function programs or processes for executing the operation of the electronic device 600 through the central processor 100.

[0082] The memory 140 may also include a data storage unit 143 for storing data, such as contacts, digital data, pictures, sounds, and / or any other data used by the electronic device. The driver storage unit 144 of the memory 140 may include various drivers for communication functions of the electronic device and / or for executing other functions of the electronic device (such as messaging applications, address book applications, etc.).

[0083] The communication module 110 is a transmitter / receiver 110 that transmits and receives signals via an antenna 111. The communication module (transmitter / receiver) 110 is coupled to the central processor 100 to provide input signals and receive output signals, which may be the same as the case of a conventional mobile communication terminal.

[0084] Based on different communication technologies, multiple communication modules 110 may be provided in the same electronic device, such as a cellular network module, a Bluetooth module and / or a wireless LAN module. The communication module (transmitter / receiver) 110 is also coupled to a speaker 131 and a microphone 132 via an audio processor 130 to provide an audio output via the speaker 131 and receive an audio input from the microphone 132, thereby realizing a common telecommunication function. The audio processor 130 may include any suitable buffer, decoder, amplifier, etc. In addition, the audio processor 130 is also coupled to the central processor 100, so that the sound can be recorded on the local machine through the microphone 132, and the sound stored on the local machine can be played through the speaker 131.

[0085] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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.

[0086] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0087] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0088] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0089] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is 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 in the scope of protection of the present invention.

Claims

1. An intelligent inspection method suitable for computer room management, characterized in that: The method comprises: Construct a three-dimensional model based on the location data and device parameters of the internal units in the room to be inspected; The detection area in the three-dimensional model is calibrated according to the model information of each unit, and the detection area is provided to the intelligent robot, and the intelligent robot collects the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data; Binding the detection data and the current first position information of the intelligent robot to generate inspection data, and comparing the inspection data with the preset standard data and the three-dimensional model to obtain the position of the faulty equipment and the fault parameter rules; Acquire the second position information of each intelligent robot in the inspection room according to the position of the faulty device, and generate a re-inspection planning path through a path planning algorithm using the second position information, the position of the faulty device and the three-dimensional model; Sending the re-inspection planning path and the fault parameter rule to the corresponding intelligent robot for re-inspection, and obtaining the inspection result from the re-inspection result and the inspection data; The detection area in the three-dimensional model is calibrated according to the model information of each unit to include: Calibrate the parameter observation window position and height data of each unit in the three-dimensional model according to the model information of each unit; Generate a detection area according to the position information of each unit and the corresponding parameter observation window position and height data; The intelligent robot collects the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the inspection area to generate the inspection data, which includes: The intelligent robot generates observation control parameters according to the parameter observation window position and height data in the detection area; According to the comparison result between the current position information of the intelligent robot and the position information of each unit, the observation control parameters of the corresponding unit are called to perform image acquisition of the equipment instrument readings to obtain the equipment instrument data of the corresponding unit; Generate detection data based on the equipment instrument data of each unit on the preset inspection trajectory.

2. The intelligent inspection method for computer room management according to claim 1, characterized in that: Calling the observation control parameters of the corresponding unit to collect the image of the equipment instrument readings to obtain the equipment instrument data of the corresponding unit also includes: Identify the proportion of reflected light areas in the equipment instrument data by using an image recognition algorithm; When the proportion of the reflected light area is greater than a preset threshold, adjusting the observation control parameter according to a preset parameter adjustment rule; The equipment instrument data of the corresponding unit is obtained by re-capturing the image of the equipment instrument readings of the corresponding unit through the adjusted observation control parameters.

3. The intelligent inspection method for computer room management according to claim 1 is characterized in that: Acquiring second position information of each intelligent robot in the inspection room according to the position of the faulty device, and generating a re-inspection planning path through a path planning algorithm using the second position information, the position of the faulty device and the three-dimensional model further comprises: According to the location of the faulty equipment, the current energy value of each intelligent robot in the room to be inspected is obtained, and the inspection completion degree is calculated according to the current energy value and the re-inspection planning path; When the inspection completion rate is lower than a preset ratio, a charging task is generated, and the re-inspection planning path is adjusted according to the charging task and the preset charging port position.

4. The intelligent inspection method for computer room management according to claim 3 is characterized in that: Adjusting the re-inspection planning path according to the charging task and the preset charging port position includes: The re-inspection planned path and the second position information of the intelligent robot determine the remaining path of the task; According to the locations of each faulty device in the remaining path of the task and the preset charging port locations, the re-inspection planning path is calculated by a path planning algorithm.

5. The intelligent inspection method applicable to computer room management according to claim 1, characterized in that: The method further comprises: When the current energy value of the intelligent robot is lower than a preset threshold, an alarm signal is generated; Acquire the task status of the intelligent robot according to the alarm signal, and when the task status is idle, query the location of the charging port inside the inspection room according to the current position of the intelligent robot; A charging path is generated according to the position of the charging port and the current position of the intelligent robot, and the intelligent robot is controlled to charge according to the charging path.

6. The intelligent inspection method for computer room management according to claim 5, characterized in that: After obtaining the task status of the intelligent robot according to the alarm signal, the following steps are further included: When the task state is a working state, obtaining the remaining inspection tasks of the intelligent robot; According to the remaining inspection tasks, the location information and current energy values ​​of other intelligent robots in the room to be inspected are obtained; The remaining inspection tasks are distributed to the corresponding intelligent robots according to the location information and current energy values ​​of other intelligent robots.

7. The intelligent inspection method for computer room management according to claim 1, characterized in that: Comparing the inspection data with the preset standard data and the three-dimensional model to obtain the location of the faulty equipment and the fault parameter rule also includes: Acquire environmental data within a preset area, and obtain error thresholds of equipment operating parameters based on the environmental data; The detection data of the corresponding equipment in the inspection data is analyzed according to the error threshold and the preset standard data to obtain the location of the faulty equipment.

8. The intelligent inspection method for computer room management according to claim 1, characterized in that: The intelligent robot collects the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the inspection area to generate the inspection data, which also includes: At least two intelligent robots are used to collect posture information of the corresponding unit at multiple angles on a preset inspection trajectory, and the placement status of the corresponding unit is obtained according to the posture information; The detection data is generated according to the equipment instrument data and / or the placement status.

9. An intelligent inspection system suitable for computer room management, characterized in that: The system includes an intelligent robot and a control terminal; The control terminal is used to construct a three-dimensional model according to the position data and device parameters of the internal units of the room to be inspected; calibrate the inspection area in the three-dimensional model according to the model information of each unit, and provide the inspection area to the intelligent robot; And, comparing the inspection data with the preset standard data and the three-dimensional model to obtain the faulty equipment location and fault parameter rules; Acquire the second position information of each intelligent robot in the inspection room according to the position of the faulty device, and generate a re-inspection planning path through a path planning algorithm using the second position information, the position of the faulty device and the three-dimensional model; Sending the re-inspection planning path and the fault parameter rule to the corresponding intelligent robot for re-inspection, and obtaining the inspection result from the re-inspection result and the inspection data; The intelligent robot is used to collect equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data; Binding the detection data and the current first position information of the intelligent robot to generate inspection data; And, re-inspection is performed according to the re-inspection planning path and the fault parameter rules, and the re-inspection result is fed back to the control terminal; calibrating the detection area in the three-dimensional model according to the model information of each unit includes: calibrating the parameter observation window position and height data of each unit in the three-dimensional model according to the model information of each unit; generating a detection area according to the position information of each unit and the corresponding parameter observation window position and height data; the intelligent robot collects the equipment instrument data of the corresponding unit on the preset inspection trajectory path according to the detection area to generate detection data, including: the intelligent robot generates observation control parameters according to the parameter observation window position and height data in the detection area; according to the comparison result between the current position information of the intelligent robot and the position information of each unit, calling the observation control parameters of the corresponding unit to perform image acquisition of equipment instrument readings to obtain the equipment instrument data of the corresponding unit; Generate detection data based on the equipment instrument data of each unit on the preset inspection trajectory.

10. The intelligent inspection system for computer room management according to claim 9, characterized in that: The intelligent robot comprises a motion mechanism, a telescopic member, an image acquisition module, a charging adapter module and a positioning module; The action mechanism is used to control the intelligent robot to move in a preset direction; The telescopic member is used to raise or lower the image acquisition module mounted thereon to a predetermined position according to a control instruction; The image acquisition module includes a binocular camera, and the binocular camera is used to collect instrument data of a preset observation window; The charging adapter module is used to confirm the position angle of the charging port through an infrared ranging unit or a near field communication module, and generate control parameters according to the position angle of the charging port to control the action mechanism to guide the intelligent robot to the charging port; The positioning module is used to calculate and obtain current position information based on signal sources emitted by multiple signal transmitters at preset positions in the machine room, and provide the current position information to the control terminal.

11. The intelligent inspection system for computer room management according to claim 9, characterized in that: The intelligent robot further comprises an environment detection module, which is used to collect environmental data in the current area and provide the environmental data to the control terminal.

12. The intelligent inspection system for computer room management according to claim 11, characterized in that: The control terminal further comprises a processing module, and the processing module is used to perform temperature adjustment, dehumidification and / or dust removal on the corresponding area according to the comparison result between the environmental data and the standard environmental data.

13. The intelligent inspection system for computer room management according to claim 9, characterized in that: The intelligent robot also includes a human body sensing module and a near field communication module; The near field communication module is used to detect the identity information stored in the tag carried by the user within the predetermined range, and suspend or close the warning task according to the comparison result between the identity information and the preset maintenance table; The human body sensing module is used to collect the distance between the personnel and the intelligent robot in the preset area according to the early warning task; when the distance is lower than the preset distance value, an alarm signal is generated and provided to the control terminal.

14. 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, the method according to any one of claims 1 to 8 is implemented.

15. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program for causing a computer to execute the method according to any one of claims 1 to 8.

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