A smart device inspection service visualization method and device and related components

Abstract

This invention discloses a smart equipment inspection visualization method, device, and related components, relating to the field of online monitoring. The method includes constructing a two-dimensional equipment map and displaying it on a large screen; issuing an early warning signal when abnormal monitoring data is detected; scanning the nearest query terminal to the abnormal equipment and sending a query request to that terminal; receiving and displaying the returned image data on the large screen, and sending the abnormal monitoring data, image data, and duty roster to the target terminal, prompting the terminal's operator to return a first maintenance instruction; based on the first maintenance instruction, sending the target location layout information of the abnormal equipment and the first maintenance instruction to the target maintenance terminal. This method allows for preliminary judgment of the abnormal situation of the equipment, thereby determining which engineer specializing in the field should perform the repair, reducing the occurrence of dispatching the wrong engineer and effectively improving the repair efficiency of abnormal equipment.

Description

Technical Field

[0001] This invention relates to the field of online monitoring, and more particularly to a method, apparatus, and related components for intelligent equipment inspection visualization. Background Technology

[0002] With the rapid development of electronic equipment, the monitoring of the operating status of processing equipment no longer requires waiting until a malfunction occurs before dispatching maintenance personnel. Instead, electronic devices such as various types of sensors or monitors can collect data from the equipment in real time, and then analyze and process the collected data. In other words, based on the digital factory, network technology and equipment monitoring technology are used to strengthen the operation and maintenance management of equipment, thereby enabling timely responses to the equipment's operational status.

[0003] Existing equipment monitoring systems can visualize monitoring data, allowing for immediate dispatch of maintenance personnel when a fault occurs. However, in practical applications, the complex structure of large machinery necessitates different types of maintenance personnel to repair even the same piece of equipment. For example, circuitry requires electrical engineers, mechanical components require mechanical engineers, and operating systems require software engineers. In other words, visualized data cannot immediately pinpoint the fault. Sending a single maintenance personnel directly would waste time and reduce production efficiency, indicating that existing equipment monitoring systems have limited applicability. Summary of the Invention

[0004] The purpose of this invention is to provide a smart equipment inspection visualization method, device, and related components, which aims to solve the problem of poor applicability of existing equipment monitoring systems.

[0005] To solve the above-mentioned technical problems, the objective of this invention is achieved through the following technical solution: providing a smart equipment inspection visualization method, comprising:

[0006] Obtain the location layout information of all devices, construct a two-dimensional device map based on all the location layout information, and display it on a large screen;

[0007] Acquire monitoring data from all devices and match all monitoring data with the two-dimensional device map;

[0008] When abnormal monitoring data is detected by a device, an early warning signal is issued at the corresponding location on the two-dimensional device map.

[0009] Based on the abnormal monitoring data and the location layout information of the abnormal device, the nearest query terminal to the abnormal device is scanned, and a query request is sent to the query terminal, so that the person carrying the query terminal can take image data of the abnormal device through the query terminal and return the image data.

[0010] The system receives the returned image data and displays it on a large screen, and sends the abnormal monitoring data, image data, and duty roster to the target terminal, enabling the user of the target terminal to return a first maintenance instruction based on the image data and the duty roster.

[0011] Based on the first maintenance instruction returned by the target terminal, the target location layout information corresponding to the abnormal device and the first maintenance instruction are sent to the target maintenance terminal.

[0012] The above technical solution allows staff located near the malfunctioning equipment to first understand its specific condition. By taking images, they can send the actual situation of the malfunctioning area to the backend, which then forwards the information to the factory's equipment manager. The equipment manager can then make a preliminary assessment of the malfunction and determine which engineer should be responsible for repairs, thus reducing the chance of assigning the wrong engineer and effectively improving the efficiency of repairing malfunctioning equipment.

[0013] In one specific embodiment, before sending the target location layout information corresponding to the malfunctioning device and the first maintenance instruction to the target maintenance terminal based on the first maintenance instruction returned by the target terminal, the process includes:

[0014] Determine whether the target repair terminal is the same as the query terminal. If the target repair terminal is different from the query terminal, send a waiting instruction to the query terminal.

[0015] In one specific embodiment, after sending the target location layout information corresponding to the malfunctioning device and the first maintenance instruction to the target maintenance terminal based on the first maintenance instruction returned by the target terminal, the process includes:

[0016] The system acquires the location information of the target repair terminal in real time, and sends a stop query command to the query terminal after the target repair terminal appears within the preset location range of the query terminal.

[0017] In one specific embodiment, before sending the abnormal monitoring data, image data, and duty roster to the target terminal, the following steps are included:

[0018] If the abnormal monitoring data exceeds the danger threshold, then based on the preset process flow rule engine, it is determined whether the upstream and downstream equipment of the abnormal equipment need to be shut down. If so, a shutdown command is sent to the corresponding equipment, and a detection command is sent to the query terminal.

[0019] In one specific embodiment, determining whether the abnormal monitoring data exceeds a danger threshold further includes:

[0020] If the monitoring data does not exceed the danger threshold, then based on the preset process flow rule engine, the monitoring data of the downstream equipment and the upstream equipment of the abnormal equipment are obtained, and it is determined whether the values ​​of the monitoring data of the downstream equipment and the upstream equipment exceed the abnormal threshold. If the values ​​of the monitoring data exceed the abnormal threshold, the corresponding equipment is marked and a shutdown command is sent.

[0021] In one specific embodiment, after sending the location layout information corresponding to the malfunctioning device and the first maintenance instruction to the target maintenance terminal based on the first maintenance instruction returned by the target terminal, the process includes:

[0022] Based on the first maintenance instruction, the maintenance processing rule engine is invoked;

[0023] Based on the maintenance processing rule engine, the processing cycle of the abnormal device is obtained;

[0024] After the target repair terminal arrives at the target location, the repair time is timed.

[0025] If no successful repair instruction is received from the target repair terminal within the processing cycle of the abnormal device, a video request is sent to the target repair terminal, so that the target repair terminal can capture and return the repair information of the current abnormal device based on the video request, wherein the repair information includes repair video and voice information;

[0026] The system receives the maintenance information and sends it to the target terminal, causing the target terminal to return a second maintenance instruction based on the received maintenance information.

[0027] Receive and invoke the maintenance processing operation engine based on the second maintenance instruction;

[0028] Based on the maintenance processing operation engine, the target operation manual is obtained and converted into voice broadcast information and sent to the target maintenance terminal.

[0029] In one specific embodiment, the intelligent equipment inspection visualization method further includes:

[0030] Based on preset update rules, the equipment maintenance time is retrieved on a monthly, quarterly, or annual basis.

[0031] The maintenance time of the current equipment is normalized, and the normalized maintenance time is clustered according to the Kmeans algorithm to group maintenance times with similar values ​​into one class, thus obtaining the target clustering result.

[0032] The average of all maintenance times in the target clustering results is calculated to obtain the target processing cycle of the current equipment.

[0033] The maintenance processing rule engine is updated based on the target processing cycle.

[0034] Furthermore, the technical problem to be solved by the present invention is to provide a smart equipment inspection visualization device, which includes:

[0035] The map building unit is used to obtain the location layout information of all devices, build a two-dimensional device map based on all the location layout information, and display it on the large screen;

[0036] The matching unit is used to acquire monitoring data from all devices and match all monitoring data with the two-dimensional device map.

[0037] The query unit is used to issue an early warning signal at the corresponding location on the two-dimensional device map when abnormal monitoring data is detected by a device.

[0038] The image acquisition unit is used to scan the nearest query terminal to the abnormal device based on the abnormal monitoring data and the location layout information of the abnormal device, and send a query request to the query terminal, so that the person carrying the query terminal can take image data of the abnormal device through the query terminal and return the image data.

[0039] The analysis request unit is used to receive the returned image data and display it on the large screen, and send the abnormal monitoring data, image data and duty roster to the target terminal, so that the carrier of the target terminal can return the first maintenance instruction based on the image data and the duty roster;

[0040] The assignment unit is used to send the target location layout information and the first maintenance instruction corresponding to the abnormal device to the target maintenance terminal based on the first maintenance instruction returned by the target terminal.

[0041] In addition, this embodiment of the invention provides a computer device, which includes 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 intelligent device inspection visualization method described in the first aspect above.

[0042] In addition, embodiments of the present invention also provide a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, which, when executed by a processor, causes the processor to perform the intelligent device inspection visualization method described in the first aspect above.

[0043] This invention discloses a smart equipment inspection visualization method, device, and related components. The method allows staff near the malfunctioning equipment to first understand the specific situation of the equipment. By taking images, the actual situation of the malfunctioning area is sent to the backend, which then forwards the information to the factory's equipment manager. The equipment manager makes a preliminary judgment on the malfunction and determines which engineer should be responsible for repairs, thereby reducing the occurrence of sending the wrong repair engineer and effectively improving the repair efficiency of malfunctioning equipment. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A flowchart illustrating the intelligent equipment inspection visualization method provided in an embodiment of the present invention;

[0046] Figure 2 A schematic diagram of a sub-process of the intelligent equipment inspection visualization method provided in an embodiment of the present invention;

[0047] Figure 3 A schematic block diagram of the intelligent equipment inspection visualization device provided in the embodiments of the present invention;

[0048] Figure 4 A schematic block diagram of a computer device provided for an embodiment of the present invention. Detailed Implementation

[0049] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0050] It should be understood that, when used in this specification and the appended claims, the terms "comprising" and "including" indicate the presence of the described features, integrals, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or collections thereof.

[0051] It should also be understood that the terminology used in this specification is for the purpose of describing particular embodiments only and is not intended to limit the invention. As used in this specification and the appended claims, the singular forms “a,” “an,” and “the” are intended to include the plural forms unless the context clearly indicates otherwise.

[0052] It should also be further understood that the term "and / or" as used in this specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0053] Please see Figure 1 , Figure 1 A flowchart illustrating the intelligent equipment inspection visualization method provided in an embodiment of the present invention;

[0054] like Figure 1 As shown, the method includes steps S101 to S106.

[0055] S101. Obtain the location layout information of all devices, construct a two-dimensional device map based on all the location layout information, and display it on the large screen;

[0056] S102. Obtain monitoring data from all devices and match all monitoring data with the two-dimensional device map;

[0057] S103. When abnormal monitoring data is detected by a device, an early warning signal is issued at the corresponding location on the two-dimensional device map.

[0058] S104. Based on the abnormal monitoring data and the location layout information of the abnormal device, scan the query terminal closest to the abnormal device, and send a query request to the query terminal, so that the person carrying the query terminal can take a picture of the abnormal device through the query terminal and return the picture data.

[0059] S105. Receive the returned image data and display it on the large screen, and send the abnormal monitoring data, image data and duty roster to the target terminal, so that the carrier of the target terminal can return the first maintenance instruction based on the image data and the duty roster.

[0060] S106. Based on the first maintenance instruction returned by the target terminal, send the target location layout information and the first maintenance instruction corresponding to the abnormal device to the target maintenance terminal.

[0061] In this embodiment, all devices that need to be monitored are named "devices." Then, electronic products such as sensors or monitors are used to collect data such as vibration, energy consumption, and sound waves. To facilitate device monitoring, this application first obtains the location layout information of all devices (i.e., based on GPS positioning technology, obtains the latitude and longitude coordinates of all devices) to establish a two-dimensional device map. This map is then visualized on a large display screen; specifically, all devices can be displayed in the form of grid points. Next, monitoring data from all devices is received, and all monitoring data is matched with the devices on the two-dimensional device map. This allows users to click on corresponding locations on the two-dimensional device map to display the current monitoring data for the corresponding device, facilitating data viewing for all devices.

[0062] When equipment generates abnormal monitoring data—that is, when the monitoring data of a device exceeds the safety threshold range, in other words, the device malfunctions—the corresponding location on the 2D device map will be highlighted based on the received warning signal. This serves as an alert to the staff in front of the display screen. Simultaneously, the backend, based on the abnormal monitoring data and the location layout information of the abnormal device, obtains the nearest query terminal to the abnormal device (the device whose sensors are sending abnormal data). The query terminal includes, but is not limited to, safety helmets equipped with a camera (usually a webcam) and a voice input (usually a microphone). These safety helmets are worn on the wearer's head, and all staff entering the factory wear safety helmets.

[0063] After finding the nearest query terminal to the abnormal device, a query request is sent to that terminal. For example, the following voice message is sent to the corresponding safety helmet: "Please go to device XX on the XX process line to check for data anomalies in XX data." Upon hearing this message, the helmet wearer immediately goes to the abnormal device to check for the problem. During the device check, images or videos of the abnormal device are captured by the camera and then sent back to the backend in real time. It should be noted that if it is inconvenient to use the query terminal at the moment, a query refusal command can be entered, such as "No time to query" recorded via voice. Upon receiving the query refusal command, the backend will mark and discard the query terminal, and then rescan for the nearest query terminal to the abnormal device until the wearer has time to go to the abnormal device to check.

[0064] After receiving the image data, the backend displays it on a large screen, allowing staff to remotely check the specific problem. Since the equipment manager may not be at the large screen, the backend simultaneously sends the abnormal monitoring data, image data, and duty roster to a target terminal, such as a mobile phone. The equipment manager can understand the actual situation of the equipment through the target terminal, make a judgment, and arrange for the on-duty staff to repair the abnormal equipment. Then, the first repair instruction is returned. It should be noted that there can be multiple target terminals in this application. The abnormal monitoring data, image data, and duty roster are first sent to one target terminal. If the target terminal does not return the first repair instruction within the specified time, the abnormal monitoring data, image data, and duty roster are sent to another target terminal. The duty roster binds the safety helmet number to the factory staff number, that is, each staff member has their own corresponding safety helmet.

[0065] After receiving the first maintenance instruction, the backend sends the target location layout information of the abnormal device and the first maintenance instruction to the target maintenance terminal, so that the user of the target maintenance terminal can go to the location of the abnormal device and perform maintenance on it.

[0066] In this way, staff members closest to the malfunctioning equipment can first understand the specific situation of the equipment. By taking pictures, they can send the actual situation of the malfunctioning area to the back-end system, which will then forward the information to the equipment manager at the factory. The equipment manager can then make a preliminary judgment on the malfunction and decide which engineer should be responsible for the repair, thereby reducing the chance of sending the wrong repair engineer and effectively improving the repair efficiency of malfunctioning equipment.

[0067] In one specific embodiment, before step S106, the following is included:

[0068] S10. Determine whether the target repair terminal is the same as the query terminal. If the target repair terminal is different from the query terminal, send a waiting instruction to the query terminal.

[0069] In this embodiment, the system first determines whether the target repair terminal and the query terminal are the same. If they are the same, the system directly sends the target location layout information of the abnormal device and the first repair instruction to the target repair terminal, i.e., the query terminal. If the target repair terminal and the query terminal are different, the system sends a waiting instruction to the query terminal, such as sending the following voice message: "A repair engineer has been arranged to perform repairs. Please wait for the repair engineer to arrive before leaving." In this way, it can be ensured that someone is present when the abnormal device malfunctions, avoiding the situation where there is no staff to stop the device if a more serious fault occurs. At the same time, the waiting staff can continue to check the abnormal device while waiting and then conduct a preliminary fault information handover with the repair personnel, thereby reducing the time it takes for the repair personnel to enter the repair state.

[0070] In one specific embodiment, after step S106, the following is included:

[0071] S20. Obtain the location information of the current target repair terminal in real time, and after the target repair terminal appears within the preset location range of the query terminal, send a stop query command to the query terminal.

[0072] In this embodiment, based on GPS positioning technology, the location information of the current target maintenance terminal can be obtained in real time. After the target maintenance terminal and the query terminal come into contact, that is, after the two helmet wearers meet, a stop query command is sent to the query terminal, such as sending the following voice message "End query, please return to normal work station", thereby ensuring that there are always staff members nearby when abnormal equipment malfunctions.

[0073] Combination Figure 2 In one specific embodiment, before step S105, the following steps are included:

[0074] S30. Determine whether the abnormal monitoring data exceeds the danger threshold. If the monitoring data exceeds the danger threshold, proceed to step S31. If the monitoring data does not exceed the danger threshold, proceed to step S33.

[0075] S31. Based on the preset process flow rule engine, determine whether the upstream and downstream equipment of the abnormal equipment needs to be shut down. If so, proceed to step S32.

[0076] S32. Send a shutdown command to the corresponding device and a detection command to the query terminal.

[0077] S33. Based on the preset process flow rule engine, obtain the monitoring data of the downstream equipment and the upstream equipment of the abnormal equipment, and proceed to the next step;

[0078] S34. Determine whether the values ​​of the monitoring data of the downstream device and the monitoring data of the upstream device exceed the abnormal threshold. If the values ​​of the monitoring data exceed the abnormal threshold, proceed to step S35.

[0079] S35. Mark the corresponding device and send a shutdown command.

[0080] In this embodiment, if the abnormal monitoring data is below the danger threshold, it indicates that the equipment malfunction is minor and does not require shutdown. Conversely, if the data is above the danger threshold, the abnormal equipment needs to be shut down. Furthermore, for some processes, such as heating products, if the heating equipment malfunctions, the product may directly enter the next cooling process via the conveyor belt after passing the faulty heating equipment. This could lead to some defective products. Therefore, this application uses a preset process flow rule engine to determine whether the upstream and downstream equipment of the abnormal equipment needs to be shut down. The process flow rule engine arranges all equipment according to the process sequence and establishes connections between each device based on AND and OR logical operations, i.e., whether the malfunction of the current device will affect the operation of other devices.

[0081] If the abnormal monitoring data is below the danger threshold, then the upstream and downstream devices of the abnormal device will be given special attention. If the abnormal monitoring data of the upstream and downstream devices are abnormal due to the failure of the current abnormal device, it means that the current abnormal device is still having an adverse effect on the upstream and downstream devices. In this case, the upstream and downstream devices with abnormal monitoring data will be shut down by querying the terminal carrier, and preliminary fault detection will be carried out to determine that the abnormality of the upstream and downstream devices is caused by the current abnormal device.

[0082] In one specific embodiment, after step S106, the following is included:

[0083] S40. Based on the first maintenance instruction, invoke the maintenance processing rule engine;

[0084] S41. Based on the maintenance processing rule engine, obtain the processing cycle of the abnormal device;

[0085] S42. After the target maintenance terminal arrives at the target location, the maintenance time is timed.

[0086] S43. If no repair success instruction is received from the target repair terminal within the processing cycle of the abnormal device, a video request is sent to the target repair terminal, so that the target repair terminal can capture and return the repair information of the current abnormal device based on the video request, wherein the repair information includes repair video and voice information;

[0087] S44. Receive the maintenance information and send the maintenance information to the target terminal, so that the target terminal returns a second maintenance instruction based on the received maintenance information;

[0088] S45. Receive and, based on the second maintenance instruction, invoke the maintenance processing operation engine;

[0089] S46. Based on the maintenance processing operation engine, obtain the target operation manual and convert the target operation manual into voice broadcast information and send it to the target maintenance terminal.

[0090] In this embodiment, the first repair instruction includes the target repair terminal's number and the part of the device that needs repair. According to the first repair instruction, the backend calls the preset repair processing rule engine to obtain the processing cycle of the abnormal device at the repair part. The repair time is taken as the time the target repair terminal stays on the abnormal device. After the repair time exceeds the preset processing cycle, a video request is sent to the target repair terminal so that the target repair terminal can capture and return the repair information of the current abnormal device. In other words, if the repair staff fails to repair the abnormal device within the processing cycle, it means that the repair staff may need assistance.

[0091] After the maintenance information is sent to the target terminal, the user of the target terminal judges the maintenance information and then returns a second maintenance instruction. The second maintenance instruction includes the maintenance operation manual number and the voice prompt of the user of the target terminal. After receiving the second maintenance instruction, the backend calls the preset maintenance processing operation engine to obtain the target operation manual and converts the target operation manual into voice broadcast information and sends it to the target maintenance terminal, thereby assisting the staff in repairing abnormal equipment.

[0092] In one specific embodiment, the intelligent equipment inspection visualization method further includes:

[0093] S50: Based on preset update rules, retrieve equipment maintenance time on a monthly, quarterly, or annual basis.

[0094] S51. Normalize all maintenance times of the current equipment, and cluster all normalized maintenance times according to the Kmeans algorithm to group maintenance times with similar values ​​into one class to obtain the target clustering result.

[0095] S52. Average all maintenance times in the target clustering results to obtain the target processing cycle of the current equipment;

[0096] S53. Update the maintenance processing rule engine based on the target processing cycle.

[0097] In this embodiment, the processing cycle of the maintenance processing rule engine needs to be updated. Due to the lifespan of the equipment, the longer the equipment runs, the longer the maintenance time will be. Therefore, this application uses the existing K-means algorithm to cluster all normalized maintenance times to obtain multiple clusters. The cluster with the most maintenance time is taken as the target clustering result. By averaging the target clustering results, the target processing cycle of the current equipment is obtained, which replaces the historical processing cycle of the current equipment in the maintenance processing rule engine, thereby improving the adaptability of this application.

[0098] This invention also provides a smart device inspection visualization apparatus, which is used to execute any of the aforementioned smart device inspection visualization methods. Specifically, please refer to... Figure 3 , Figure 3 This is a schematic block diagram of the intelligent equipment inspection visualization device provided in the embodiments of the present invention.

[0099] like Figure 3 As shown, the intelligent equipment inspection visualization device 500 includes:

[0100] Map building unit 501 is used to obtain the location layout information of all devices, build a two-dimensional device map based on all the location layout information, and display it on a large screen;

[0101] Matching unit 502 is used to acquire monitoring data of all devices and match all monitoring data with the two-dimensional device map;

[0102] The query unit 503 is used to issue an early warning signal at the corresponding location on the two-dimensional device map when abnormal monitoring data is detected by a device.

[0103] The image acquisition unit 504 is used to scan the nearest query terminal to the abnormal device based on the abnormal monitoring data and the location layout information of the abnormal device, and send a query request to the query terminal, so that the person carrying the query terminal can take image data of the abnormal device through the query terminal and return the image data.

[0104] The analysis request unit 505 is used to receive the returned image data and display it on the large screen, and send the abnormal monitoring data, image data and duty roster to the target terminal, so that the carrier of the target terminal can return the first maintenance instruction based on the image data and the duty roster;

[0105] The assignment unit 506 is used to send the target location layout information and the first maintenance instruction corresponding to the abnormal device to the target maintenance terminal based on the first maintenance instruction returned by the target terminal.

[0106] This device allows staff located near the malfunctioning equipment to first assess the equipment's condition. By capturing images, the device sends the actual situation of the malfunctioning area to the backend system. The backend then forwards the information to the factory's equipment manager, who makes a preliminary assessment of the malfunction and determines which engineer should be responsible for repairs. This reduces the likelihood of assigning the wrong engineer and effectively improves the efficiency of equipment repair.

[0107] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described apparatus and unit can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0108] The aforementioned intelligent equipment for procuratorial visualization can be implemented as a computer program, which can, for example... Figure 4 It runs on the computer device shown.

[0109] Please see Figure 4 , Figure 4 This is a schematic block diagram of a computer device provided in an embodiment of the present invention. The computer device 1100 is a server, which can be a standalone server or a server cluster composed of multiple servers.

[0110] See Figure 4 The computer device 1100 includes a processor 1102, a memory, and a network interface 1105 connected via a system bus 1101. The memory may include a non-volatile storage medium 1103 and internal memory 1104.

[0111] The non-volatile storage medium 1103 may store an operating system 11031 and a computer program 11032. When the computer program 11032 is executed, it enables the processor 1102 to execute a smart device inspection visualization method.

[0112] The processor 1102 provides computing and control capabilities to support the operation of the entire computer device 1100.

[0113] The internal memory 1104 provides an environment for the operation of the computer program 11032 in the non-volatile storage medium 1103. When the computer program 11032 is executed by the processor 1102, the processor 1102 can execute the intelligent device inspection visualization method.

[0114] The network interface 1105 is used for network communication, such as providing data transmission. Those skilled in the art will understand that... Figure 4The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the computer device 1100 to which the present invention is applied. The specific computer device 1100 may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0115] Those skilled in the art will understand that Figure 4 The embodiments of the computer device shown do not constitute a limitation on the specific configuration of the computer device. In other embodiments, the computer device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. For example, in some embodiments, the computer device may include only memory and a processor. In such embodiments, the structure and function of the memory and processor are different from those shown. Figure 4 The embodiments shown are consistent and will not be described again here.

[0116] It should be understood that, in this embodiment of the invention, the processor 1102 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor.

[0117] In another embodiment of the invention, a computer-readable storage medium is provided. This computer-readable storage medium may be a non-volatile computer-readable storage medium. The computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the intelligent device inspection visualization method of the embodiments of the present invention.

[0118] The storage medium is a physical, non-transient storage medium, such as a USB flash drive, portable hard drive, read-only memory (ROM), magnetic disk, or optical disk, or any other physical storage medium capable of storing program code.

[0119] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0120] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for visualizing inspection procedures using intelligent equipment, characterized in that, include: Obtain the location layout information of all devices, construct a two-dimensional device map based on all the location layout information, and display it on a large screen; Acquire monitoring data from all devices and match all monitoring data with the two-dimensional device map; When abnormal monitoring data is detected by a device, an early warning signal is issued at the corresponding location on the two-dimensional device map. Based on the abnormal monitoring data and the location layout information of the abnormal device, the nearest query terminal to the abnormal device is scanned, and a query request is sent to the query terminal, so that the person carrying the query terminal can take image data of the abnormal device through the query terminal and return the image data. The system receives the returned image data and displays it on a large screen, and sends the abnormal monitoring data, image data, and duty roster to the target terminal, enabling the user of the target terminal to return a first maintenance instruction based on the image data and the duty roster. Based on the first maintenance instruction returned by the target terminal, the target location layout information corresponding to the abnormal device and the first maintenance instruction are sent to the target maintenance terminal.

2. The intelligent equipment inspection visualization method according to claim 1, characterized in that, Before sending the target location layout information corresponding to the malfunctioning device and the first maintenance instruction to the target maintenance terminal based on the first maintenance instruction returned by the target terminal, the process includes: Determine whether the target repair terminal is the same as the query terminal. If the target repair terminal is different from the query terminal, send a waiting instruction to the query terminal.

3. The intelligent equipment inspection visualization method according to claim 2, characterized in that, After sending the target location layout information corresponding to the malfunctioning device and the first maintenance instruction returned by the target terminal to the target maintenance terminal, the process includes: The system acquires the location information of the target repair terminal in real time, and sends a stop query command to the query terminal after the target repair terminal appears within the preset location range of the query terminal.

4. The intelligent equipment inspection visualization method according to claim 1, characterized in that, Before sending the abnormal monitoring data, image data, and duty roster to the target terminal, the following steps are included: If the abnormal monitoring data exceeds the danger threshold, then based on the preset process flow rule engine, it is determined whether the upstream and downstream equipment of the abnormal equipment need to be shut down. If so, a shutdown command is sent to the corresponding equipment, and a detection command is sent to the query terminal.

5. The intelligent equipment inspection visualization method according to claim 4, characterized in that, The step of determining whether the abnormal monitoring data exceeds the danger threshold also includes: If the monitoring data does not exceed the danger threshold, then based on the preset process flow rule engine, the monitoring data of the downstream equipment and the upstream equipment of the abnormal equipment are obtained, and it is determined whether the values ​​of the monitoring data of the downstream equipment and the upstream equipment exceed the abnormal threshold. If the values ​​of the monitoring data exceed the abnormal threshold, the corresponding equipment is marked and a shutdown command is sent.

6. The intelligent equipment inspection visualization method according to claim 1, characterized in that, Based on the first maintenance instruction returned by the target terminal, after sending the location layout information corresponding to the malfunctioning device and the first maintenance instruction to the target maintenance terminal, the process includes: Based on the first maintenance instruction, the maintenance processing rule engine is invoked; Based on the maintenance processing rule engine, the processing cycle of the abnormal device is obtained; After the target repair terminal arrives at the target location, the repair time is timed. If no successful repair instruction is received from the target repair terminal within the processing cycle of the abnormal device, a video request is sent to the target repair terminal, so that the target repair terminal can capture and return the repair information of the current abnormal device based on the video request, wherein the repair information includes repair video and voice information; The system receives the maintenance information and sends it to the target terminal, causing the target terminal to return a second maintenance instruction based on the received maintenance information. Receive and invoke the maintenance processing operation engine based on the second maintenance instruction; Based on the maintenance processing operation engine, the target operation manual is obtained and converted into voice broadcast information and sent to the target maintenance terminal.

7. The intelligent equipment inspection visualization method according to claim 6, characterized in that, Also includes: Based on preset update rules, the equipment maintenance time is retrieved on a monthly, quarterly, or annual basis. The maintenance time of the current equipment is normalized, and the normalized maintenance time is clustered according to the Kmeans algorithm to group maintenance times with similar values ​​into one class, thus obtaining the target clustering result. The average of all maintenance times in the target clustering results is calculated to obtain the target processing cycle of the current equipment. The maintenance processing rule engine is updated based on the target processing cycle.

8. A smart equipment inspection visualization device, characterized in that, include: The map building unit is used to obtain the location layout information of all devices, build a two-dimensional device map based on all the location layout information, and display it on the large screen; The matching unit is used to acquire monitoring data from all devices and match all monitoring data with the two-dimensional device map. The query unit is used to issue an early warning signal at the corresponding location on the two-dimensional device map when abnormal monitoring data is detected by a device. The image acquisition unit is used to scan the nearest query terminal to the abnormal device based on the abnormal monitoring data and the location layout information of the abnormal device, and send a query request to the query terminal, so that the person carrying the query terminal can take image data of the abnormal device through the query terminal and return the image data. The analysis request unit is used to receive the returned image data and display it on the large screen, and send the abnormal monitoring data, image data and duty roster to the target terminal, so that the carrier of the target terminal can return the first maintenance instruction based on the image data and the duty roster; The assignment unit is used to send the target location layout information and the first maintenance instruction corresponding to the abnormal device to the target maintenance terminal based on the first maintenance instruction returned by the target terminal.

9. 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 intelligent device inspection visualization method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, causes the processor to perform the intelligent device inspection visualization method as described in any one of claims 1 to 7.

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