A method, device and equipment for processing industrial equipment information

Abstract

The present invention provides a method, device and equipment for processing industrial equipment information, the method comprising: obtaining an industrial identification configured for the industrial equipment and the attribute information of the industrial equipment corresponding to the industrial identification; uploading the industrial identification of the industrial equipment and the attribute information to the cloud. The cloud receives the industrial identification and the measured equipment information uploaded by the measured industrial equipment; based on the industrial identification, the measured equipment information and the attribute information, the wear information of the measured equipment is obtained. The scheme of the present invention facilitates the unified management of data, and different products from different manufacturers in different regions can be simultaneously transmitted and stored in the cloud, reducing the manufacturer's cost in product storage and use.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial equipment processing, and in particular to a method, device and equipment for processing industrial equipment information. Background Art

[0002] At present, workpiece defect detection based on computer vision has become a key development direction of the manufacturing industry. With the advent of artificial intelligence and the 5G era, the intelligent detection system for workpiece defects has become more and more mature. However, defect detection and damage assessment of some workpieces with complex structures has always been a difficult problem for visual inspection. On the other hand, the industrial Internet identification resolution system is a key hub for realizing information exchange among all industrial elements and links. By assigning an identification to each object and using the industrial Internet identification resolution system, cross-regional, cross-industry, and cross-enterprise information query and sharing can be achieved. It can be said that industrial identification is a basic element of the Internet of Everything.

[0003] At present, the visual monitoring of equipment and workpieces is mainly through visual scanning of the three-dimensional model of the workpiece after operation or use, and comparing it with the three-dimensional model size provided by the manufacturer. This has two disadvantages:

[0004] 1. The equipment or workpieces used by general manufacturers may come from different manufacturers, and the amount of information may be unequal, which is not conducive to data maintenance and recording.

[0005] 2. If the manufacturer goes bankrupt or the standard 3D data is lost over a long period of time, the prototype data can only be restored through artificial intelligence, but the data will not be accurate enough and the technology will be costly and immature. Summary of the invention

[0006] The technical problem to be solved by the present invention is how to provide a method, device and equipment for processing industrial equipment information. The solution of the present invention establishes a three-dimensional model storage library of industrial products based on industrial identification, and when it is necessary to obtain information such as workpiece size or three-dimensional model, accurate and standard information can be quickly obtained through industrial identification.

[0007] In order to solve the above technical problems, the technical solution of the present invention is as follows:

[0008] A method for processing industrial equipment information, applied in the cloud, comprising:

[0009] Acquire an industrial identifier configured for an industrial device and attribute information of the industrial device corresponding to the industrial identifier;

[0010] Receive industrial identification and measured equipment information uploaded by measured industrial equipment;

[0011] The wear condition information of the measured equipment is obtained according to the industrial identification, the measured equipment information and the attribute information.

[0012] Optionally, the measured device information includes: an actual three-dimensional model of the measured device;

[0013] According to the industrial identification, the measured equipment information and the attribute information, the wear condition information of the measured equipment is obtained, including:

[0014] According to the industrial identification, a standard three-dimensional model corresponding to the measured equipment is obtained;

[0015] The actual three-dimensional model is compared with the standard three-dimensional model in the attribute information to obtain the wear condition information of the measured equipment.

[0016] Optionally, comparing the actual three-dimensional model with the standard three-dimensional model to obtain wear information of the measured equipment includes:

[0017] Reconstructing the actual three-dimensional model in three dimensions by using a preset algorithm to obtain a new actual three-dimensional model, and calculating the centroid of the new actual three-dimensional model;

[0018] Taking the center of mass of the standard three-dimensional model as the coordinate origin, the new actual three-dimensional model and the standard three-dimensional model are overlapped, and the error part between the new actual three-dimensional model and the standard three-dimensional model is determined as the wear condition information of the measured equipment.

[0019] Optionally, the preset algorithm is a tensor voting algorithm, and the actual three-dimensional model is three-dimensionally reconstructed by the preset algorithm to obtain a new actual three-dimensional model, and the centroid of the new actual three-dimensional model is calculated, including:

[0020] For each grid point of the actual three-dimensional model, a neighboring point adjacent to the grid point is selected, where the neighboring point is a tensor, and a set of tensors obtained from all the neighboring points is the tensor of the grid point;

[0021] Voting for each grid point of the actual three-dimensional model, obtaining a tensor for each vote, and obtaining tensors of all grid points;

[0022] Obtain explicit features based on dense tensor mapping;

[0023] According to the dominant features, a new actual three-dimensional model is obtained;

[0024] The centroid of the actual three-dimensional model is calculated according to a centroid calculation formula.

[0025] Optionally, the attribute information includes at least one of the following:

[0026] Standard 3D models of industrial equipment;

[0027] Equipment identification for industrial equipment;

[0028] Manufacturer identification of industrial equipment;

[0029] Product region identification for industrial equipment.

[0030] An embodiment of the present invention further provides a method for processing industrial equipment information, which is applied to on-site processing equipment, and the method includes:

[0031] Acquire an industrial identifier configured for an industrial device and attribute information of the industrial device corresponding to the industrial identifier;

[0032] The industrial identification of the industrial equipment and the attribute information are uploaded to the cloud.

[0033] Optionally, the method for processing industrial equipment information further includes:

[0034] Obtain industrial identification and actual 3D models of measured industrial equipment;

[0035] The industrial identification and the actual three-dimensional model of the measured industrial equipment are uploaded to the cloud.

[0036] Optionally, the method for processing industrial equipment information further includes:

[0037] A comparison result obtained by comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information of the industrial equipment is received by the cloud.

[0038] An embodiment of the present invention further provides an industrial equipment information processing device, comprising:

[0039] A processing module, used to obtain an industrial identifier configured for an industrial device and attribute information of the industrial device;

[0040] The transceiver module is used to upload the industrial identification of the industrial equipment and the attribute information to the cloud.

[0041] An embodiment of the present invention further provides an industrial equipment information processing device, which is applied in the cloud, and includes:

[0042] The transceiver module is used to receive the industrial identification configured for the industrial equipment and the uploaded attribute information of the industrial equipment.

[0043] An embodiment of the present invention further provides a processing device, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed.

[0044] An embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the method described above.

[0045] The above solution of the present invention includes at least the following beneficial effects:

[0046] By obtaining the industrial identification configured for the industrial equipment and the attribute information of the industrial equipment corresponding to the industrial identification, the industrial identification of the industrial equipment and the attribute information are uploaded to the cloud, so that the information of the industrial equipment can be processed in the cloud. This facilitates the unified management of data and saves costs. Different products from different manufacturers in different regions can be transmitted and stored in the cloud at the same time, reducing the manufacturer's costs in product storage and use. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 is a flowchart of a method for processing industrial equipment information according to an embodiment of the present invention;

[0048] Figure 2 It is a schematic diagram of storing industrial identification and attribute information in the method for processing industrial equipment information in an embodiment of the present invention;

[0049] Figure 3 It is a schematic diagram of the data storage stage in the method for processing industrial equipment information according to an embodiment of the present invention;

[0050] Figure 4 It is a schematic diagram of a specific implementation flow of the method for processing industrial equipment information according to an embodiment of the present invention;

[0051] Figure 5 is a schematic diagram of a standard three-dimensional model in specific embodiment 1 of the present invention;

[0052] Figure 6 is a schematic diagram of an actual three-dimensional model of the industrial equipment in the specific embodiment 1 of the present invention;

[0053] Figure 7 is a schematic diagram of a comparison model in specific embodiment 1 of the present invention;

[0054] Figure 8 It is a schematic diagram of the quality inspection process on the industrial equipment assembly line in the specific embodiment 2 of the present invention;

[0055] Fig. 9 is a schematic diagram of estimating the degree of wear of industrial equipment in specific embodiment 3 of the present invention;

[0056] Fig.10 It is a flowchart of a method for processing industrial equipment information applied to a cloud side according to an embodiment of the present invention;

[0057] Fig.11 It is a module schematic diagram of the device for processing industrial equipment information according to an embodiment of the present invention. DETAILED DESCRIPTION

[0058] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0059] like Figure 1 As shown, an embodiment of the present invention provides a method for processing industrial equipment information, which is applied to field processing equipment, and the method includes:

[0060] Step 11, obtaining an industrial identifier configured for the industrial equipment and attribute information of the industrial equipment corresponding to the industrial identifier;

[0061] Step 12: Upload the industrial identification of the industrial equipment and the attribute information to the cloud.

[0062] In this embodiment, the industrial identification configured for the industrial equipment and the attribute information of the industrial equipment corresponding to the industrial identification are obtained; the industrial identification of the industrial equipment and the attribute information are uploaded to the cloud. This facilitates the unified management of data and saves costs. Different industrial equipment from different manufacturers in different regions can be simultaneously transmitted and stored in the cloud, reducing the manufacturer's cost in terms of storage and use of industrial equipment.

[0063] like Figure 2 As shown, in an embodiment of the present invention, when the industrial identification of the industrial equipment and the attribute information are uploaded to the cloud for storage, the data storage is based on taking the industrial identification of the industrial equipment as the key value (key value) for storing data, and storing the attribute information of the industrial equipment as the value (value) in the cloud for unified management, thereby reducing the enterprise's costs in data storage and personnel management.

[0064] The attribute information here may include at least one of the following: a standard three-dimensional model of the industrial equipment; an equipment identification of the industrial equipment; an identification of the manufacturer of the industrial equipment; and a product region identification of the industrial equipment.

[0065] like Figure 2As shown in the figure, it is the correspondence between the industrial identification and the attribute information of the industrial equipment. The key value is the industrial identification, and the Value value refers to the attribute information of the industrial equipment, including the standard three-dimensional model of the industrial equipment, the equipment identification of the industrial equipment, the manufacturer identification of the industrial equipment, the product region identification of the industrial equipment and other data. The part inside the ellipse refers to the cloud part. The large ellipse part is the cloud storage part, and its corresponding function is to store the industrial identification Key of the industrial equipment and its uniquely corresponding Value data. At the same time, the stored data is used for calling and querying the cloud processing part; the small ellipse part is the cloud processing part, and its corresponding function is to accept the real data RealValue from the industrial equipment on the user side, and call the user-side industrial equipment configuration Value from the cloud storage part for comparison processing. The real data here refers to the industrial identification configured by the industrial equipment and the attribute information of the industrial equipment. Upload the Key value and Value value to the cloud storage. Key1, Key2, Key3 and Keyn correspond to the unique Value1, Value2, Value3 and Value n respectively. The user side obtains the industrial identifier of industrial equipment 1 corresponding to Key1, obtains the real data RealValue on the user side and uploads it to the cloud for processing. The cloud processing part compares and processes the real data of industrial equipment 1, the industrial identifier configured by the industrial equipment and the attribute information of the industrial equipment, and finally returns the calculation result to the user side.

[0066] In an embodiment of the present invention, an industrial identifier refers to a code / symbol / name that uniquely identifies a target object within a certain range. Industrial data is stored in the cloud based on the industrial identifier. After an industrial device is produced and offline, it is configured with a unique industrial identifier and recorded in the cloud database. The unique industrial identifier is composed of the above industrial identifier and attribute information and configured in the industrial device, wherein the identifier refers to a code / symbol / name that uniquely identifies a target object within a certain range, and the industrial identifier includes a standard three-dimensional model of the industrial device; an equipment identifier of the industrial device; an identification of the manufacturer of the industrial device; and an identification of the product region of the industrial device. The industrial device information is then stored in the cloud through big data cloud storage technology, and the industrial identifier is the unique key value for obtaining the industrial device information. The uniqueness mentioned here refers to the fact that the industrial identifier of the industrial device has the globally unique characteristic. This uniqueness reduces the difficulty of data storage and acquisition, and also saves the cost of manufacturers and users.

[0067] like Figure 3 As shown, in an optional embodiment of the present invention, the method for processing industrial equipment information may further include:

[0068] Step 13, obtaining the industrial identification and actual three-dimensional model of the measured industrial equipment;

[0069] Step 14: Upload the industrial identification and actual three-dimensional model of the measured industrial equipment to the cloud.

[0070] In this embodiment, scanning technology is used to measure industrial equipment, and the actual three-dimensional model of the scanned part is obtained through edge detection technology processing, and the industrial identification and actual three-dimensional model of the measured industrial equipment are obtained and uploaded to the cloud. It should be noted that for the inspection and maintenance of some more complex workpieces, in order to ensure the accuracy of their inspection and maintenance, mechanical measurement can also be further used.

[0071] In an optional embodiment of the present invention, the method for processing industrial equipment information may further include:

[0072] Step 15, receiving a comparison result obtained by the cloud by comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information of the industrial equipment.

[0073] like Figure 4 As shown, specifically, step 15 may include:

[0074] Step 151, the user transmits the scanned actual 3D model of the industrial equipment and the industrial identification of the industrial equipment to the cloud to the processing library through the 5G network;

[0075] Step 152, the cloud searches for a standard three-dimensional model of the industrial equipment to be processed through the industrial identification of the industrial equipment;

[0076] Step 153, in the cloud processing area, the standard three-dimensional model and the actual three-dimensional model are compared to calculate the degree of wear and the wear location;

[0077] Step 154, obtain the comparison results, and transmit the results back to the testing site in real time via the 5G network. At this point, the cloud step is completed.

[0078] The above steps 151 to 154 upload the industrial identification and actual three-dimensional model of the industrial equipment to the cloud, remotely and centrally process the data, obtain the wear comparison results, and return the wear comparison results to the inspection site, completing the cloud data processing process.

[0079] In an optional embodiment of the present invention, the cloud compares the actual three-dimensional model with the standard three-dimensional model of the industrial equipment, including:

[0080] Reconstructing the actual three-dimensional model in three dimensions by using an analytical tensor voting algorithm to obtain a new actual three-dimensional model, and calculating the centroid of the new three-dimensional model;

[0081] The center of mass of the standard three-dimensional model is used as the coordinate origin, and the standard three-dimensional model and the new actual three-dimensional model are overlapped to obtain the worn part of the industrial equipment.

[0082] In this embodiment, the industrial equipment inspection site data is transmitted to the cloud for comparison and processing, and then the processing results are transmitted back to the inspection site through the 5G network to implement data transmission.

[0083] like Figure 5 As shown, a standard three-dimensional model image is obtained from the cloud library, and the centroid of the model is calculated by parsing the tensor voting algorithm;

[0084] like Figure 6 As shown, the uploaded scanned industrial equipment model is 3D reconstructed through the tensor voting algorithm to obtain the actual 3D model after 3D reconstruction, and the centroid of the model is calculated;

[0085] like Figure 7 As shown, the standard three-dimensional model is regarded as a coordinate system, and the two models are overlapped with the center of mass of the standard three-dimensional model as the coordinate origin. The error area is measured, the different parts are distinguished and marked, and a comparison result model is generated. The wear ratio is calculated by volume to obtain a three-dimensional view and corresponding error parameters. Finally, the comparison model diagram and data comparison are transmitted to the on-site machine, triggering the threshold set by the on-site machine and performing related preset operations.

[0086] like Figure 7 As shown, in a specific embodiment 1, the difference between the actual 3D model of the measured industrial equipment and its standard 3D model is marked with a shaded part. It can be seen that the standard 3D model is a regular cube with a side length of (s+r), and its obvious wear part is a regular triangular pyramid with a side edge length of r and a bottom surface with a side length of An equilateral triangle.

[0087] It should be noted that the tensor voting algorithm uses image data to process data points based on tensor analysis, matrix theory and geometric knowledge to derive the required geometric structure. It has the advantages of being able to process large amounts of data and being robust to noise. In the above-mentioned embodiment, the tensor voting algorithm is a preferred 3D reconstruction algorithm.

[0088] like Figure 8 As shown, in an optional embodiment of the present invention, the method for processing industrial equipment information may further include:

[0089] If the wear portion of the industrial equipment is greater than a preset threshold, the measured industrial equipment is determined to be unqualified, otherwise, the measured industrial equipment is determined to be qualified.

[0090] In this embodiment, in a specific embodiment 2, the industrial equipment on the assembly line is scanned; the scanned actual three-dimensional model is uploaded to the cloud storage; the standard three-dimensional model of the industrial equipment is obtained through the industrial identification of the industrial equipment and the type of industrial equipment in this operation; then the actual three-dimensional model of the production is compared with the standard three-dimensional model in the cloud, and the degree of discreteness is calculated (here, the degree of discreteness is the data used to measure the degree of wear); the threshold comparison and judgment of the degree of discreteness is performed. If it is greater than the predetermined threshold, it can be determined that the industrial equipment is unqualified and goes to the destruction route; if it is less than the predetermined threshold, it can be determined that the industrial equipment is qualified and goes to the packaging offline process. For users, users can perform cloud computing through key values ​​and scanned actual three-dimensional models to obtain the compared results. Wear is estimated through the results, so as to budget for later investment. If it is assembly line production, real-time calculation results can be obtained through the 5G network, and defective products can be quickly eliminated. 5G has the advantages of low latency, high reliability, high speed, and large capacity; for users, all users need to do is scan and upload, and they do not need to find standard models and calculate and compare by themselves; for enterprises, small and medium-sized enterprises can save computing and communication costs.

[0091] This embodiment can be applied to terminal detection equipment, computer application software, etc., by obtaining the industrial identification and attribute information of industrial equipment, uploading the industrial identification and attribute information to the cloud for processing, providing a matching method from the production of industrial equipment with a unique industrial identification tag to physical application and then to loss and repair. It rationally utilizes the characteristics of big data storage and 5G low latency, and provides customers with a cost-effective solution with the help of 5G and big data storage.

[0092] like Fig. 9 As shown, in a specific embodiment 3, after the industrial equipment leaves the factory, the industrial identification is configured and the data is uploaded to the cloud. The factory scans the industrial equipment in use, uploads the actual 3D model obtained by the scan to the cloud processing area, compares the discreteness of the scan and the standard model in the cloud processing area, and finally transmits the calculation results back to the inspection site in real time through the 5G network. This embodiment facilitates users to estimate the remaining life and usage of industrial equipment, and greatly reduces the complex and expensive industrial equipment loss calculation.

[0093] The solution of the present invention uses industrial identification as the key value and industrial equipment data as the value, and stores the data in the cloud, which facilitates the unified management of data; online calculation and real-time transmission provide real-time calculation methods for small and medium-sized enterprise users, saving costs; big data transmission, different industrial equipment from different manufacturers in different regions can be simultaneously transmitted and stored in the cloud, reducing the manufacturer's costs in industrial equipment storage and use.

[0094] like Fig.10As shown, the present invention also provides a method for processing industrial equipment information, which is applied in the cloud, comprising:

[0095] Step 101, obtaining an industrial identifier configured for an industrial device and attribute information of the industrial device corresponding to the industrial identifier;

[0096] Step 102, receiving the industrial identification and measured equipment information uploaded by the measured industrial equipment;

[0097] Step 103: Obtain wear information of the measured equipment according to the industrial identification, the measured equipment information and the attribute information.

[0098] This embodiment, by receiving the industrial identification uploaded by the industrial equipment, can quickly obtain the attribute information corresponding to the industrial identification based on the industrial identification, and further calculate the wear information of the measured equipment based on the industrial identification, the measured equipment information and the attribute information, thereby realizing rapid damage assessment of the on-site equipment.

[0099] In an optional embodiment of the present invention, the attribute information includes at least one of the following: a standard three-dimensional model of the industrial equipment; an equipment identification of the industrial equipment; a manufacturer identification of the industrial equipment; and a product region identification of the industrial equipment.

[0100] Here, if Figure 2 As shown, there is a correspondence between the industrial identification and the standard three-dimensional model of the industrial equipment, the equipment identification, the manufacturer identification, and the product region identification. After obtaining the industrial identification of the equipment, the standard three-dimensional model of the industrial equipment can be quickly obtained through the corresponding relationship.

[0101] In an optional embodiment of the present invention, the measured device information includes: an actual three-dimensional model of the measured device; step 103 may include:

[0102] Step 1031, obtaining a standard three-dimensional model corresponding to the measured equipment according to the industrial identification;

[0103] Step 1032: Compare the actual three-dimensional model with the standard three-dimensional model in the attribute information to obtain wear information of the measured equipment.

[0104] Here, step 1032 may specifically include:

[0105] Step 10321, reconstructing the actual three-dimensional model in three dimensions by using a preset algorithm to obtain a new actual three-dimensional model, and calculating the centroid of the new actual three-dimensional model;

[0106] Step 10322, taking the center of mass of the standard three-dimensional model as the coordinate origin, overlapping the new actual three-dimensional model and the standard three-dimensional model, and determining the error portion between the new actual three-dimensional model and the standard three-dimensional model as the wear information of the measured equipment.

[0107] In an achievable example, the preset algorithm is a tensor voting algorithm. In the above step 10321, the actual 3D model is 3D reconstructed by the preset algorithm to obtain a new actual 3D model, and the centroid of the new actual 3D model is calculated, including:

[0108] For each grid point of the actual three-dimensional model, a neighboring point adjacent to the grid point is selected, where the neighboring point is a tensor, and a set of tensors obtained from all the neighboring points is the tensor of the grid point;

[0109] Voting for each grid point of the actual three-dimensional model, obtaining a tensor for each vote, and obtaining tensors of all grid points;

[0110] Obtain explicit features based on dense tensor mapping;

[0111] According to the dominant features, a new actual three-dimensional model is obtained;

[0112] The centroid of the actual three-dimensional model is calculated according to a centroid calculation formula.

[0113] Here, if Figure 5 As shown, the standard three-dimensional model is a cube; Figure 6 As shown in , the actual three-dimensional model is a cube with wear; Figure 7 Shown is a schematic diagram of the worn part determined after calculation and comparison.

[0114] Taking a cube as an example, the center of mass of the standard three-dimensional model is the center of gravity of the cube. Figure 6 The center of mass of the actual three-dimensional model shown is calculated according to the center of gravity calculation formula; Figure 7 As shown in the figure, the difference between the actual 3D model of the measured industrial equipment and its standard 3D model is marked with shaded parts. It can be seen that the standard 3D model is a regular cube with a side length of (s+r), and its obvious wear part is a regular triangular pyramid with a side edge length of r and a bottom surface with a side length of An equilateral triangle.

[0115] This embodiment of the present invention uses industrial identification as the key and workpiece or equipment data as the value to store data in the cloud. Because of the uniqueness and consensus of industrial representation, it is convenient to manage and unify data. Online computing and real-time transmission provide real-time computing methods for small and medium-sized enterprise users, saving costs. For big data transmission, different products from different manufacturers in different regions can be simultaneously transmitted and stored in the cloud, reducing the manufacturer's costs in product storage and use.

[0116] It should be noted that this method is different from the above Figure 1 The method shown corresponds to the cloud method, and all implementation methods in the above method embodiments are applicable to the embodiments of the method and can achieve the same technical effect.

[0117] like Fig.11 As shown, an embodiment of the present invention further provides an industrial equipment information processing device 110, comprising:

[0118] The processing module 111 is used to obtain the industrial identification configured for the industrial equipment and the attribute information of the industrial equipment corresponding to the industrial identification;

[0119] The transceiver module 112 is used to upload the industrial identification of the industrial equipment and the attribute information to the cloud.

[0120] Optionally, the attribute information includes at least one of the following: a standard three-dimensional model of the industrial equipment; an equipment identification of the industrial equipment; an identification of a manufacturer of the industrial equipment; and a product region identification of the industrial equipment.

[0121] Optionally, the processing module 111 is further used to: obtain the industrial identification and the actual three-dimensional model of the measured industrial equipment; and upload the industrial identification and the actual three-dimensional model of the measured industrial equipment to the cloud.

[0122] Optionally, the transceiver module 112 is further used to: receive a comparison result obtained by the cloud by comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information of the industrial equipment.

[0123] Optionally, the processing module 111 is further used to: if the comparison result indicates that the wear portion of the industrial equipment is greater than a preset threshold, determine that the measured industrial equipment is unqualified; otherwise, determine that the measured industrial equipment is qualified.

[0124] It should be noted that the device is a device corresponding to the above method, and all implementation methods in the above method embodiments are applicable to the embodiments of the device and can achieve the same technical effects.

[0125] An embodiment of the present invention further provides an industrial equipment information processing device, which is applied in the cloud, and includes:

[0126] The transceiver module is used to obtain the industrial identification configured for the industrial equipment and the attribute information of the industrial equipment corresponding to the industrial identification; receive the industrial identification and measured equipment information uploaded by the measured industrial equipment;

[0127] The processing module is used to obtain the wear information of the measured equipment according to the industrial identification, the measured equipment information and the attribute information.

[0128] Optionally, the measured equipment information includes: an actual three-dimensional model of the measured equipment; obtaining wear information of the measured equipment according to the industrial identification, the measured equipment information and the attribute information, including:

[0129] According to the industrial identification, a standard three-dimensional model corresponding to the measured equipment is obtained;

[0130] The actual three-dimensional model is compared with the standard three-dimensional model in the attribute information to obtain the wear condition information of the measured equipment.

[0131] Optionally, comparing the actual three-dimensional model with the standard three-dimensional model to obtain wear information of the measured equipment includes:

[0132] Reconstructing the actual three-dimensional model in three dimensions by using a preset algorithm to obtain a new actual three-dimensional model, and calculating the centroid of the new actual three-dimensional model;

[0133] Taking the center of mass of the standard three-dimensional model as the coordinate origin, the new actual three-dimensional model and the standard three-dimensional model are overlapped, and the error part between the new actual three-dimensional model and the standard three-dimensional model is determined as the wear condition information of the measured equipment.

[0134] Optionally, the preset algorithm is a tensor voting algorithm, and the actual three-dimensional model is three-dimensionally reconstructed by the preset algorithm to obtain a new actual three-dimensional model, and the centroid of the new actual three-dimensional model is calculated, including:

[0135] For each grid point of the actual three-dimensional model, a neighboring point adjacent to the grid point is selected, where the neighboring point is a tensor, and a set of tensors obtained from all the neighboring points is the tensor of the grid point;

[0136] Voting for each grid point of the actual three-dimensional model, obtaining a tensor for each vote, and obtaining tensors of all grid points;

[0137] Obtain explicit features based on dense tensor mapping;

[0138] According to the dominant features, a new actual three-dimensional model is obtained;

[0139] The centroid of the actual three-dimensional model is calculated according to a centroid calculation formula.

[0140] Optionally, the attribute information includes at least one of the following:

[0141] Standard 3D models of industrial equipment;

[0142] Equipment identification for industrial equipment;

[0143] Manufacturer identification of industrial equipment;

[0144] Product region identification for industrial equipment.

[0145] It should be noted that the device is a device corresponding to the above-mentioned cloud-side method, and all implementation methods in the above-mentioned method embodiments are applicable to the embodiments of the device and can achieve the same technical effects.

[0146] The embodiment of the present invention further provides a processing device, comprising: a processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method described above is executed. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0147] The embodiment of the present invention further provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute the above method. All implementations in the above method embodiment are applicable to this embodiment and can achieve the same technical effect.

[0148] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0149] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0150] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0151] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0152] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0153] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0154] In addition, it should be noted that in the apparatus and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. Moreover, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order, and some steps can be performed in parallel or independently of each other. For those of ordinary skill in the art, it is understood that all or any steps or components of the method and apparatus of the present invention can be implemented in any computing device (including processors, storage media, etc.) or a network of computing devices in hardware, firmware, software or a combination thereof, which can be achieved by those of ordinary skill in the art using their basic programming skills after reading the description of the present invention.

[0155] Therefore, the purpose of the present invention can also be achieved by running a program or a group of programs on any computing device. The computing device can be a well-known general device. Therefore, the purpose of the present invention can also be achieved by simply providing a program product containing a program code that implements the method or device. That is to say, such a program product also constitutes the present invention, and the storage medium storing such a program product also constitutes the present invention. Obviously, the storage medium can be any well-known storage medium or any storage medium developed in the future. It should also be pointed out that in the device and method of the present invention, it is obvious that each component or each step can be decomposed and / or recombined. These decompositions and / or recombinations should be regarded as equivalent schemes of the present invention. In addition, the steps of performing the above-mentioned series of processing can naturally be performed in chronological order according to the order of description, but it is not necessary to perform them in chronological order. Some steps can be performed in parallel or independently of each other.

[0156] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for processing industrial equipment information, characterized in that: Applied in the cloud, including: Acquire an industrial identifier configured for an industrial device and attribute information of the industrial device corresponding to the industrial identifier; Receive industrial identification and measured equipment information uploaded by measured industrial equipment; Obtaining wear information of the measured equipment according to the industrial identification, the measured equipment information and the attribute information; The measured equipment information includes: an actual three-dimensional model of the measured equipment; According to the industrial identification, the measured equipment information and the attribute information, the wear condition information of the measured equipment is obtained, including: According to the industrial identification, a standard three-dimensional model corresponding to the measured equipment is obtained; Comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information to obtain wear information of the measured equipment; Comparing the actual three-dimensional model with the standard three-dimensional model to obtain wear information of the measured equipment includes: Reconstructing the actual three-dimensional model in three dimensions by using a preset algorithm to obtain a new actual three-dimensional model, and calculating the centroid of the new actual three-dimensional model, wherein the preset algorithm is a tensor voting algorithm; The new actual three-dimensional model and the standard three-dimensional model are overlapped with the center of mass of the standard three-dimensional model as the coordinate origin, and the error part between the new actual three-dimensional model and the standard three-dimensional model is determined as the wear condition information of the measured equipment.

2. The method for processing industrial equipment information according to claim 1, characterized in that: The actual three-dimensional model is three-dimensionally reconstructed by a preset algorithm to obtain a new actual three-dimensional model, and the centroid of the new actual three-dimensional model is calculated, including: For each grid point of the actual three-dimensional model, a neighboring point adjacent to the grid point is selected, the neighboring point is a tensor, and the set of tensors obtained by all neighboring points is the tensor of the grid point; Voting for each grid point of the actual three-dimensional model, obtaining a tensor for each vote, and obtaining tensors of all grid points; Obtain explicit features based on dense tensor mapping; According to the dominant features, a new actual three-dimensional model is obtained; The centroid of the actual three-dimensional model is calculated according to a centroid calculation formula.

3. The method for processing industrial equipment information according to claim 1, characterized in that: The attribute information includes at least one of the following: Standard 3D models of industrial equipment; Equipment identification for industrial equipment; Manufacturer identification of industrial equipment; Product regional identification for industrial equipment.

4. A device for processing industrial equipment information, characterized in that: Applied in the cloud, including: The transceiver module is used to receive the industrial identification configured for the industrial equipment and the uploaded attribute information of the industrial equipment; receive the industrial identification uploaded by the measured industrial equipment and the measured equipment information; A processing module, configured to obtain wear information of the measured device according to the industrial identification, the measured device information and the attribute information, wherein the measured device information includes: an actual three-dimensional model of the measured device; obtaining wear information of the measured device according to the industrial identification, the measured device information and the attribute information, including: obtaining a standard three-dimensional model corresponding to the measured device according to the industrial identification; comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information to obtain the wear information of the measured device; The actual three-dimensional model is compared with the standard three-dimensional model to obtain the wear information of the measured equipment, including: Reconstructing the actual three-dimensional model in three dimensions by using a preset algorithm to obtain a new actual three-dimensional model, and calculating the centroid of the new actual three-dimensional model, wherein the preset algorithm is a tensor voting algorithm; Taking the center of mass of the standard three-dimensional model as the coordinate origin, the new actual three-dimensional model and the standard three-dimensional model are overlapped, and the error part between the new actual three-dimensional model and the standard three-dimensional model is determined as the wear condition information of the measured equipment.

5. A processing device, characterized in that: include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to any one of claims 1 to 3 is executed.

6. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer is caused to perform the method according to any one of claims 1 to 3.

7. A method for processing industrial equipment information, characterized in that: Applied to on-site processing equipment, the method comprises: Acquire an industrial identifier configured for an industrial device and attribute information of the industrial device corresponding to the industrial identifier; Uploading the industrial identification of the industrial equipment and the attribute information to the cloud; Obtain industrial identification and actual 3D models of measured industrial equipment; Uploading the industrial identification and the actual three-dimensional model of the measured industrial equipment to the cloud; A comparison result is received by the cloud from comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information of the industrial equipment, wherein the actual three-dimensional model is three-dimensionally reconstructed by a preset algorithm to obtain a new actual three-dimensional model, and the comparison result is determined based on the wear condition information of the measured industrial equipment obtained by comparing the new actual three-dimensional model with the standard three-dimensional model, and the preset algorithm is a tensor voting algorithm.

8. An industrial equipment information processing device, characterized in that: Applied to field processing equipment, including: A processing module, configured to obtain an industrial identification configured for an industrial device and attribute information of the industrial device, wherein the attribute information includes at least one of the following: a standard three-dimensional model of the industrial device, an equipment identification of the industrial device, a manufacturer identification of the industrial device, and a product region identification of the industrial device; A transceiver module, used to upload the industrial identification of the industrial equipment and the attribute information to the cloud; Obtain industrial identification and actual 3D models of measured industrial equipment; Uploading the industrial identification and the actual three-dimensional model of the measured industrial equipment to the cloud; A comparison result is received by the cloud from comparing the actual three-dimensional model with the standard three-dimensional model in the attribute information of the industrial equipment, wherein the actual three-dimensional model is three-dimensionally reconstructed by a preset algorithm to obtain a new actual three-dimensional model, and the comparison result is determined based on the wear condition information of the measured industrial equipment obtained by comparing the new actual three-dimensional model with the standard three-dimensional model, and the preset algorithm is a tensor voting algorithm.

9. A processing device, characterized in that: include: A processor and a memory storing a computer program, wherein when the computer program is executed by the processor, the method according to claim 7 is performed.

10. A computer-readable storage medium, characterized in that: Instructions are stored, which, when executed on a computer, cause the computer to perform the method as claimed in claim 7.

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