AR intelligent remote sampling inspection method and device

Abstract

The invention provides an AR intelligent remote sampling inspection method and equipment, and the method comprises the steps: employing a material differentiation sampling inspection model, and generating a sampling inspection plan; generating a remote spot check plan according to the spot check plan in combination with a spot check principle; the remote sampling inspection plan is issued to the sampling inspection mobile device, and the sampling inspection mobile device executes and feeds back the sampling result of the sampling inspection sample; and according to the sampling result, in combination with the received detection result of the sampling sample, remote sampling inspection of the power grid materials is completed. According to the invention, a sampling plan of less sampling of high-quality suppliers and more and more sampling of bad suppliers can be realized, and the phenomenon of sampling resource waste caused by single sampling management and control strategy is avoided; a corresponding remote spot check plan can be generated and executed for the power grid material arrived at each time, so that the spot check timeliness of the power grid material is improved; according to the AR intelligent sampling inspection system, the sampling inspection process can be effectively supervised, the detection data of each remote sampling inspection plan can be stored, and the concentration of the detection data is realized.

Description

Technical Field

[0001] The patent application of this invention belongs to the technical field of material sampling inspection, and specifically relates to an AR intelligent remote sampling inspection method and equipment. Background Art

[0002] The electric power industry is an important basic industry of the national economy. The quality of power equipment directly affects the safe and stable operation of the power system and the reliable supply of electricity. It is currently entering a stage of high-quality development and is in a critical period of transforming development methods, optimizing economic structure, and converting growth momentum. However, problems such as tightening constraints on resource and environmental factors, low adaptability of manufacturing supply to market demand, and challenges facing the stability of the industrial chain and supply chain are becoming increasingly prominent. The development of a green, modern, digital supply chain is imminent.

[0003] Improving the quality of power grid materials, reducing resource and energy consumption, and unblocking the industrial chain and supply chain have put forward higher requirements on the quality level of power grid materials. The random inspection management of power grid materials is an important link to strengthen material quality supervision, further realize the "selection of the best from the good" in purchasing equipment, and deepen the panoramic quality control and intelligent operation. It is urgent to build a power grid material quality supervision and random inspection system that is suitable for the current material quality control requirements.

[0004] At present, there are problems such as low timeliness of random inspections of incoming power grid materials, single random inspection control strategy, lack of effective supervision of the random inspection process, and inability to collect test data in a timely manner. Summary of the invention

[0005] In order to overcome the above-mentioned deficiencies of the prior art, the present invention patent application proposes an AR intelligent remote sampling method, including:

[0006] In the AR intelligent sampling inspection system, the pre-built material differentiation sampling inspection model is used to generate the sampling inspection plan;

[0007] For each delivery of power grid materials, a remote sampling plan is generated according to the sampling plan and sampling principles;

[0008] The remote sampling inspection plan is sent to the sampling inspection mobile device, and the sampling inspection mobile device executes the remote sampling inspection plan and then feeds back the sampling results of the sampling samples;

[0009] According to the sampling results, combined with the received test results of the sample for random inspection, the remote random inspection of the power grid materials is completed.

[0010] Preferably, in the AR intelligent sampling inspection system, a pre-built material differentiation sampling inspection model is used to generate a sampling inspection plan, including:

[0011] In the AR intelligent sampling inspection system, an initial sampling inspection plan is configured according to the power grid material procurement contract; the initial sampling inspection plan includes: the initial sampling sample quantity, the initial sampling quantity, the sampling sample category, the sampling sample inspection level and the inspection unit;

[0012] Based on the initial number of samples for random inspection and the initial number of sampling, the final number of samples for random inspection and the final number of sampling are obtained through a pre-constructed differentiated material inspection model;

[0013] A sampling plan for the material sampling platform is generated according to the final number of samples for random inspection, the final number of sampling, the category of the samples for random inspection, the detection level of the samples for random inspection and the detection unit.

[0014] Preferably, the construction of the differentiated sampling inspection model for materials includes:

[0015] Based on the relevant data of remote sampling inspection of power grid, a decision tree neural network is used to train a differentiated sampling inspection model for materials;

[0016] Adopting multi-dimensional accumulation strategy technology, optimizing the differentiated material sampling inspection model, and completing the construction of the differentiated material sampling inspection model;

[0017] The power grid remote sampling inspection related data includes one or more of the following: historical sampling unqualified data, new supplier data and equipment operation history data.

[0018] Preferably, the sampling result includes: a sample site image and a sample sealing label; the remote sampling plan is sent to the sampling mobile device, and after the sampling mobile device executes the remote sampling plan, the sampling result of the sample is fed back, including:

[0019] The remote sampling plan is sent to the sampling mobile device of the remote sampling personnel, and the sampling mobile device performs sampling inspection on each sampling sample of the remote sampling plan;

[0020] Receive the sample site image and sample sealing label of each sample uploaded by the sampling inspection mobile device after the sampling inspection.

[0021] Preferably, the remote sampling inspection of the power grid materials is completed according to the sampling results and in combination with the received test results of the sample for sampling, including:

[0022] The inspection personnel perform structured storage of the sample site image and the sample sealing label according to the coding of the remote sampling inspection plan;

[0023] Generate test results based on the on-site image and sealing label of each sample;

[0024] Based on the detection results, complete the remote sampling inspection of the power grid materials.

[0025] Preferably, after receiving the test results of the sample inspection and completing the remote inspection of the power grid materials, the method further includes:

[0026] Through the AR intelligent sampling system, the remote sampling plan is displayed with full process information;

[0027] Among them, the full-process information display includes one or more of the following: approval information of the remote sampling plan, issuance information of the remote sampling plan, information of the sampling samples and test results.

[0028] Preferably, after receiving the test results of the sample inspection and completing the remote inspection of the power grid materials, the method further includes:

[0029] According to the test results, the relevant information of the sample failure of the sample under inspection is pushed to the supplier misconduct platform;

[0030] The sample unqualified related information includes one or more of the following: unqualified sample information, supplier information, material category, unqualified grade and unqualified items.

[0031] Based on the same inventive concept, the patent application of the present invention also provides an AR intelligent remote sampling inspection device, including: a sampling inspection plan generation module, a remote sampling inspection plan generation module, a sampling result acquisition module and a remote sampling inspection summary module;

[0032] The sampling inspection plan generation module is used to generate a sampling inspection plan in the AR intelligent sampling inspection system by using a pre-built material differentiation sampling inspection model;

[0033] The remote sampling plan generation module is used to generate a remote sampling plan for each arrival of power grid materials according to the sampling plan combined with the sampling principle;

[0034] The sampling result acquisition module is used to send the remote sampling inspection plan to the sampling inspection mobile device, and the sampling inspection mobile device feeds back the sampling results of the sampling samples after executing the remote sampling inspection plan;

[0035] The remote sampling summary module is used to complete the remote sampling of the power grid materials according to the sampling results and the test results of the received sampling samples.

[0036] Preferably, the sampling inspection plan generation module is specifically used to:

[0037] In the AR intelligent sampling inspection system, an initial sampling inspection plan is configured according to the power grid material procurement contract; the initial sampling inspection plan includes: the initial sampling sample quantity, the initial sampling quantity, the sampling sample category, the sampling sample inspection level and the inspection unit;

[0038] Based on the initial number of samples for random inspection and the initial number of sampling, the final number of samples for random inspection and the final number of sampling are obtained through a pre-constructed differentiated material inspection model;

[0039] A sampling plan for the material sampling platform is generated according to the final number of samples for random inspection, the final number of sampling, the category of the samples for random inspection, the detection level of the samples for random inspection and the detection unit.

[0040] Preferably, the device further comprises: a differentiated material sampling inspection model building module, which is used to:

[0041] Based on the relevant data of remote sampling inspection of power grid, a decision tree neural network is used to train a differentiated sampling inspection model for materials;

[0042] Adopting multi-dimensional accumulation strategy technology, optimizing the differentiated material sampling inspection model, and completing the construction of the differentiated material sampling inspection model;

[0043] The power grid remote sampling inspection related data includes one or more of the following: historical sampling unqualified data, new supplier data and equipment operation history data.

[0044] Preferably, the sampling result includes: sample site image and sample sealing label; the remote sampling plan generation module is specifically used for:

[0045] The remote sampling plan is sent to the sampling mobile device of the remote sampling personnel, and the sampling mobile device performs sampling inspection on each sampling sample of the remote sampling plan;

[0046] Receive the sample site image and sample sealing label of each sample uploaded by the sampling inspection mobile device after the sampling inspection.

[0047] Preferably, the remote sampling summary module is specifically used for:

[0048] The inspection personnel perform structured storage of the sample site image and the sample sealing label according to the coding of the remote sampling inspection plan;

[0049] Generate test results based on the on-site image and sealing label of each sample;

[0050] Based on the detection results, complete the remote sampling inspection of the power grid materials.

[0051] Preferably, the device further comprises: a remote sampling information display module, which is used to:

[0052] Through the AR intelligent sampling system, the remote sampling plan is displayed with full process information;

[0053] Among them, the full-process information display includes one or more of the following: approval information of the remote sampling plan, issuance information of the remote sampling plan, information of the sampling samples and test results.

[0054] Preferably, the device further comprises: a supplier bad behavior platform interaction module, which is used to:

[0055] According to the test results, the relevant information of the sample failure of the sample under inspection is pushed to the supplier misconduct platform;

[0056] The sample unqualified related information includes one or more of the following: unqualified sample information, supplier information, material category, unqualified grade and unqualified items.

[0057] Based on the same inventive concept, the patent application of the present invention also provides an electronic device, comprising: at least one processor and a memory; the memory and the processor are connected via a bus;

[0058] The memory is used to store one or more programs;

[0059] When the one or more programs are executed by the at least one processor, an AR intelligent remote sampling method as described above is implemented.

[0060] Based on the same inventive concept, the patent application of the present invention also provides a readable storage medium, on which a computer program and an execution program are stored. When the execution program is executed, an AR intelligent remote sampling method as described above is implemented.

[0061] Compared with the closest prior art, the patent application of this invention has the following beneficial effects:

[0062] The patent application of the present invention provides an AR intelligent remote sampling method and device, including: in an AR intelligent sampling system, a pre-built material differentiation sampling model is used to generate a sampling plan; for each arrival of power grid materials, a remote sampling plan is generated according to the sampling plan combined with the sampling principle; the remote sampling plan is sent to the sampling mobile device, and after the sampling mobile device executes the remote sampling plan, the sampling results of the sampling samples are fed back; according to the sampling results, combined with the received detection results of the sampling samples, the remote sampling of the power grid materials is completed; the present invention adopts a material differentiation sampling model, which can realize a sampling plan of less sampling for high-quality suppliers and more sampling and additional sampling for bad suppliers, avoiding the phenomenon of waste of sampling resources due to a single sampling control strategy; for each arrival of power grid materials, a corresponding remote sampling plan can be generated and executed, thereby improving the timeliness of the sampling of power grid materials; the AR intelligent sampling system can effectively supervise the sampling process, and store the detection data of each remote sampling plan, thereby realizing the concentration of detection data. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 A flowchart of an AR intelligent remote sampling method provided for the patent application of the present invention;

[0064] Figure 2 A schematic diagram of the operation of the remote inspection technology provided for the patent application of the present invention;

[0065] Figure 3 A schematic diagram of an AR intelligent remote sampling device provided for the patent application of the present invention;

[0066] Figure 4 A result schematic diagram of an electronic device provided for the patent application of the present invention. DETAILED DESCRIPTION

[0067] The specific implementation methods of the patent application of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0068] Embodiment 1:

[0069] The present invention patent application provides an AR intelligent remote sampling method such as Figure 1 As shown, including:

[0070] Step 1: In the AR (Augmented Reality) intelligent sampling inspection system, a pre-built material differentiated sampling inspection model is used to generate a sampling inspection plan;

[0071] Step 2: For each delivery of power grid materials, generate a remote sampling plan based on the sampling plan and sampling principles;

[0072] Step 3: Send the remote sampling plan to the sampling mobile device, and the sampling mobile device will feed back the sampling results of the sampling samples after executing the remote sampling plan;

[0073] Step 4: Based on the sampling results and the received test results of the sampled samples, complete the remote sampling inspection of the power grid materials.

[0074] As power grid projects continue to expand, the quality of power materials entering the warehouse, on-site sampling of power materials, and sample testing are the top priorities for improving the operation of power grid projects. The rapid development of mobile Internet of Things technology and the energy industry provides new solutions for the sampling of power materials.

[0075] At present, in the context of the development of green modern digital supply chain has risen to the national strategy and digital transformation has become the general trend, digital tools represented by deep learning, neural networks and RPA (Robotic process automation) robotic process automation technology have become the only way for enterprises to achieve digital transformation. From a technical perspective, the technical characteristics of various digital tools such as non-intrusiveness, strong scalability, and integration enable them to be integrated into more business systems and "handle" various business scenarios. The smart material quality supervision and sampling system of power grid enterprises under the development of green modern digital supply chain adheres to the principles of "problem-oriented, responsibility-oriented, and goal-oriented", optimizes the intelligent and smart management of the whole process of material sampling, deepens the digital transformation and standardization of the panoramic quality control system, strengthens the accountability for breach of contract of power grid material quality, comprehensively strengthens the source quality control of suppliers' equipment, strives to eliminate equipment quality hazards, ensures the safe and reliable operation of the power grid, and creates a good atmosphere for the whole industry to participate, govern, and improve together.

[0076] In one implementation, in the above step 1, in the AR intelligent sampling system, a pre-built material differentiation sampling model is used to generate a sampling plan, including:

[0077] In the AR intelligent sampling inspection system, an initial sampling inspection plan is configured according to the power grid material procurement contract; the initial sampling inspection plan includes: the initial sampling sample quantity, the initial sampling quantity, the sampling sample category, the sampling sample inspection level and the inspection unit;

[0078] For example, the sampling plan setting and detection capability configuration: for power grid materials, according to the power grid material procurement contract, the sampling sample categories, initial sampling sample quantity, sampling sample detection level, detection unit and initial sampling quantity of the power grid material sampling samples are manually initially configured to realize the binding of sampling samples, detection level and initial sampling quantity, and to realize the binding of sampling samples and detection bases.

[0079] Based on the initial number of samples for random inspection and the initial number of sampling, the final number of samples for random inspection and the final number of sampling are obtained through a pre-constructed differentiated material inspection model;

[0080] For example, based on the initial random inspection sample quantity and initial sampling quantity manually configured, a differentiated material inspection model is adopted to continuously optimize the initial random inspection sample quantity and initial sampling quantity set in the inspection plan to obtain the final random inspection sample quantity and final sampling quantity.

[0081] According to the final number of samples for random inspection, the final number of samplings, the category of samples for random inspection, the detection level of samples for random inspection and the detection unit, a random inspection plan for the material random inspection platform is generated; the present invention adopts a differentiated material random inspection model to optimize the initial number of samples for random inspection and the initial number of samplings, and realizes the linkage control of the random inspection plan by intelligent analysis methods such as high-quality material random inspection strategies, conventional strategies, and strict strategies, so as to improve the pertinence and management efficiency of the random inspection management of power grid materials.

[0082] In one implementation, the construction of the differentiated material sampling inspection model includes:

[0083] Based on the relevant data of remote sampling inspection of power grid, a decision tree neural network is used to train a differentiated sampling inspection model for materials;

[0084] For example, a differentiated material inspection model is established based on the decision tree neural network.

[0085] Adopting multi-dimensional accumulation strategy technology, optimizing the differentiated material sampling inspection model, and completing the construction of the differentiated material sampling inspection model;

[0086] For example, through the application of multi-dimensional accumulation strategy technology, the differentiated material inspection model is optimized to achieve efficient integration and management of inspection data.

[0087] Among them, the power grid remote sampling inspection related data includes one or more of the following: historical sampling inspection unqualified data, new supplier data and equipment operation history data; the present invention has found through statistics on power grid material failures in recent years that material quality problems are the main cause of power grid material failures. For example, failures of combined electrical appliances due to poor product quality account for 82% of the total failures, and failures of transformers due to product quality account for 58% of the total failures. The main causes of power grid material failures are poor control of the supplier's manufacturing process, unreasonable product design, and lax quality control of key original parts purchased from outside. Material sampling management is the basis for ensuring equipment quality and improving the safe operation capability of the power grid. Based on the business attributes of power grid material sampling, the hierarchical management of power grid material sampling is designed with the architecture of "integrated layout, multi-dimensional analysis, and lean implementation". Based on the historical sampling unqualified data, new supplier data, and equipment operation history data, a differentiated material sampling model is established to realize the linkage management and control of sampling plans through intelligent analysis methods such as high-quality sampling strategies, conventional strategies, and strict strategies for material sampling. Based on the results of the model algorithm, the principle of less sampling of high-quality suppliers and more sampling of bad suppliers is implemented to improve the pertinence and management efficiency of power grid material sampling management.

[0088] In one implementation, in the above step 2, for each delivery of power grid materials, a remote sampling plan is generated according to the sampling plan and sampling principles.

[0089] For example, the remote sampling inspection plan of materials is intelligently edited. The material quality manager generates a regular sampling inspection plan, which is also a remote sampling inspection plan, based on the actual arrival of materials, the final sampling number, the category of the sampling samples, the inspection level of the sampling samples and the inspection unit, in accordance with the sampling inspection principle;

[0090] For example, the sampling inspection principle is three 100% sampling inspection principles, specifically, each supplier and each material category shall be sampled at least once every quarter; the present invention can autonomously generate a remote sampling inspection plan in the time dimension based on the sampling inspection plan combined with the sampling inspection principles, ensuring that there is a remote sampling inspection plan every quarter.

[0091] In one implementation, the sampling result includes: a sample site image and a sample sealing label; the remote sampling plan is sent to the sampling mobile device in the above step 3, and after the sampling mobile device executes the remote sampling plan, the sampling result of the sample is fed back, including:

[0092] The remote sampling plan is sent to the sampling mobile device of the remote sampling personnel, and the sampling mobile device performs sampling inspection on each sampling sample of the remote sampling plan;

[0093] For example, the remote sampling plan responsibility configuration is that after the remote sampling plan review is completed, it is automatically transferred to the sampling unit. The sampling unit maintains the information of on-site sampling personnel, transportation units, transportation personnel, etc. according to the remote sampling plan, and sends the sampling plan to the sampling personnel's mobile application.

[0094] For example, through the interaction between the AR intelligent sampling inspection system and the sampling inspection mobile device, remote inspection technology can be realized, such as Figure 2 As shown, remote supervision technology is a new technology that uses modern information technology to conduct real-time, off-site supervision and inspection of distant objects or activities. Remote supervision technology can obtain information about the inspected objects in real time and quickly, greatly shortening the inspection cycle and improving work efficiency. The remote supervision technology of the present invention is composed of an information system material intelligent sampling platform (AR intelligent sampling system) and the State Grid mobile application Shaanxi Electricity sampling mobile application. During the on-site material sampling and sealing process, supervision is carried out on the entire on-site sampling and sealing process.

[0095] For example, mobile application technology refers to the technology of software development and application using mobile devices, including but not limited to smartphones, tablets, wearable devices, etc. Since the advent of the first mobile phone in the early 1970s, mobile application technology has undergone many iterations and changes. From the initial simple communication function to today's support for complex applications, multimedia content and interconnection with other devices, the development of mobile application technology has greatly changed the way people live and work. Mobile application technology not only focuses on the software development process, but also includes application deployment, maintenance, optimization and improvement of user experience. The application of mobile application technology is the "gas station" of the current material sampling process, providing the basis for real-time data transmission for on-site sample sampling and sealing processes, and providing guarantees for the authenticity and reliability of sampling.

[0096] Receive the sample site image and sample sealing label of each sample uploaded by the sampling inspection mobile device after the sampling inspection.

[0097] For example, in on-site sample collection, the sampler uses the ISC account (Integrated Supply Chain) and password to verify the authority. After the verification is passed, the unfinished tasks, completed tasks, etc. can be viewed on the mobile application.

[0098] For example, in the on-site sample information verification, the sampling personnel confirm the on-site material sample information according to the incomplete remote sampling plan, and upload the full picture of the on-site sample information and the sealing label, and complete the electronic signature at the same time; the present invention adopts an AR intelligent sampling system for overall planning, and adopts sampling mobile devices for implementation. Through the interaction between the AR intelligent sampling system and the sampling mobile devices, the AR intelligent sampling system is remotely supervised, which can obtain the information of power grid materials in real time and quickly, greatly shortening the inspection cycle and improving work efficiency.

[0099] In one implementation, the above step 4, based on the sampling result and in combination with the received test result of the sample, completes the remote sampling of the power grid materials, including:

[0100] The inspection personnel perform structured storage of the sample site image and the sample sealing label according to the coding of the remote sampling inspection plan;

[0101] For example, for on-site sample information storage, the AR intelligent sampling inspection system uploads on-site sample information photos based on the sampling personnel, and structures the on-site photos according to the sampling plan coding.

[0102] Generate test results based on the on-site image and sealing label of each sample;

[0103] For example, in sample testing, the testers conduct sample testing based on the samples transported by the samplers, enter the test results, and upload the report.

[0104] According to the detection results, the remote sampling of the power grid materials is completed; the remote sampling plan of the power grid materials of the present invention mainly refers to that before the installation of various types of power grid materials, the material management department or relevant departments should test the quality of the power grid materials supplied by the supplier in a sampling manner, and determine the product supply quality through experimental data and experimental results; based on the application of AR intelligent sampling system and information system, the authenticity of on-site material sampling samples and the real-time data interaction are improved, and the on-site sampling process and sample photos are recorded in real time after the on-site sampling personnel, transportation personnel, and sample collection personnel arrive at the site, so as to improve the authenticity of the power grid material sampling; therefore, in the face of the increasingly high quality requirements of power grid materials, it is urgent to empower and optimize various digital and information means, so as to further promote the deep integration of material sampling management and digital means, and promote the intelligent operation and lean management of power grid material quality supervision and sampling.

[0105] According to the requirements of the quality supervision department for material sampling, the present invention realizes full coverage of the material sampling plan based on three dimensions of information: material category, supplier, and arrival time. At the same time, based on mobile applications, one-to-one correspondence of sampling results is achieved to ensure that the on-site sampling information is authentic, valid, legal, and compliant.

[0106] In one implementation, after receiving the test results of the sample inspection and completing the remote inspection of the power grid materials, the method further includes:

[0107] Through the AR intelligent sampling system, the remote sampling plan is displayed with full process information;

[0108] Among them, the full-process information display includes one or more of the following: approval information of the remote sampling plan, issuance information of the remote sampling plan, information of the sampling samples and test results.

[0109] For example, the whole process information is displayed. The material sampling inspection platform realizes the whole process tracking of sampling inspection plan approval, sampling inspection plan issuance, on-site material sampling information, test results and other information according to the sampling inspection plan, providing guarantee for the safe operation of subsequent power grid projects; the AR intelligent sampling inspection system of the present invention realizes the whole process tracking of sampling inspection plan approval, sampling inspection plan issuance, on-site material sampling information, test results and other information according to the sampling inspection plan, providing guarantee for the safe operation of subsequent power grid projects.

[0110] In one implementation, after receiving the test results of the sample inspection and completing the remote inspection of the power grid materials, the method further includes:

[0111] According to the test results, the relevant information of the sample failure of the sample under inspection is pushed to the supplier misconduct platform;

[0112] The sample unqualified related information includes one or more of the following: unqualified sample information, supplier information, material category, unqualified grade and unqualified items.

[0113] For example, expand the integration with supplier misconduct. When the test results are confirmed to be correct, the information of unqualified samples, supplier information, material categories, unqualified grades, unqualified items, etc. will be automatically pushed to the supplier misconduct platform, so as to achieve the connection between random inspection and supplier misconduct disposal information and improve the quality of incoming materials.

[0114] The present invention is based on an AR intelligent sampling system and a sampling mobile device to build a device that can replace complex manual business operations, realize intelligent preparation of sampling plans, and track the sampling results throughout the process. The material sampling mobile application APP realizes the digitization, structuring, and intelligence of the on-site material sampling process through remote information confirmation, on-site picture upload, on-site abnormal feedback, on-site electronic signature, remote guidance, remote monitoring, remote reminder, physical ID (identification) label and other technologies; it solves the problems of low timeliness of sampling inspection of power grid materials entering the warehouse, single sampling inspection management strategy, lack of effective supervision of the sampling inspection process, difficulty in tracing information throughout the sampling inspection process, inability to collect test data in a timely manner, and incomplete coverage of the sampling inspection plan.

[0115] Therefore, the present invention uses the AR intelligent sampling system to implement the remote sampling plan according to the requirements of digital, intelligent and visual management, and the beneficial effects are as follows:

[0116] (I) Business management benefits

[0117] The implementation of lean management of material quality supervision under the promotion of digital transformation has achieved low-carbon and convenient supplier qualification verification, smart and efficient material supervision and sampling, and fair and just supplier evaluation and handling of bad behaviors. We have successfully completed routine quality supervision work such as supplier qualification and capability verification, supervision and sampling, and handling of bad behaviors. At the same time, we have carried out information construction such as direct connection with testing institutions, e-commerce data structuring, and "cloud supervision", thus realizing the full-service online management of panoramic quality control with pre-control, in-process supervision, and post-closed loop, and extending the quality supervision business from result control to process control.

[0118] (II) Enterprise Economic Benefits

[0119] The application of lean management of material quality supervision under the promotion of digital transformation has realized the optimization of the sampling implementation model of Shaanxi Company throughout 2021, strengthened the linkage between sampling plan and supply plan, and strictly implemented the sampling, testing and problem handling of arrival through the "monthly plan + daily control" sampling mode to ensure that all inspections must be carried out and closed-loop management is implemented. For the three key materials of cable reels, the Quality Supervision Department strengthened the coordination of new equipment and the use of new testing technologies, completed the testing of 1,950 reels of cable reels in stock, carried out full pre-screening of arrivals, and continuously strengthened the quality supervision of cable materials, effectively improved the quality of cable materials entering the network, created a good market ecological environment of honesty and trustworthiness, and ensured the safe and stable operation of the power grid. At the same time, 150 purchase orders were selected to carry out full-process tracking of the EIP platform to promote the application of smart IoT in electrical equipment. The panoramic quality control digital system has been initially built and applied.

[0120] 3. Social management benefits

[0121] The lean management of material quality supervision under the digital transformation covers pre-control, in-process supervision, post-closed loop, cloud diagnosis and other contents through the construction of ESC (Enterprise SupplyChain Operation Center) platform, and automatically calculates, analyzes and supervises the data of ECP (Electronic Commerce Platform) and EIP (Electric Power Equipment Internet of Things Platform), and initially realizes the intelligent operation of the whole business, and realizes the green and efficient construction of the front-end, middle-end and end of the business chain.

[0122] Embodiment 2:

[0123] Based on the same inventive concept, the present invention patent application also provides an AR intelligent remote sampling device such as Figure 3 As shown, it includes: a sampling inspection plan generation module, a remote sampling inspection plan generation module, a sampling result acquisition module and a remote sampling inspection summary module;

[0124] The sampling inspection plan generation module is used to generate a sampling inspection plan in the AR intelligent sampling inspection system by using a pre-built material differentiation sampling inspection model;

[0125] The remote sampling plan generation module is used to generate a remote sampling plan for each arrival of power grid materials according to the sampling plan combined with the sampling principle;

[0126] The sampling result acquisition module is used to send the remote sampling inspection plan to the sampling inspection mobile device, and the sampling inspection mobile device feeds back the sampling results of the sampling samples after executing the remote sampling inspection plan;

[0127] The remote sampling summary module is used to complete the remote sampling of the power grid materials according to the sampling results and the test results of the received sampling samples.

[0128] Preferably, the sampling inspection plan generation module is specifically used to:

[0129] In the AR intelligent sampling inspection system, an initial sampling inspection plan is configured according to the power grid material procurement contract; the initial sampling inspection plan includes: the initial sampling sample quantity, the initial sampling quantity, the sampling sample category, the sampling sample inspection level and the inspection unit;

[0130] Based on the initial number of samples for random inspection and the initial number of sampling, the final number of samples for random inspection and the final number of sampling are obtained through a pre-constructed differentiated material inspection model;

[0131] A sampling plan for the material sampling platform is generated according to the final number of samples for random inspection, the final number of sampling, the category of the samples for random inspection, the detection level of the samples for random inspection and the detection unit.

[0132] Preferably, the device further comprises: a differentiated material sampling inspection model building module, which is used to:

[0133] Based on the relevant data of remote sampling inspection of power grid, a decision tree neural network is used to train a differentiated sampling inspection model for materials;

[0134] Adopting multi-dimensional accumulation strategy technology, optimizing the differentiated material sampling inspection model, and completing the construction of the differentiated material sampling inspection model;

[0135] The power grid remote sampling inspection related data includes one or more of the following: historical sampling unqualified data, new supplier data and equipment operation history data.

[0136] Preferably, the sampling result includes: sample site image and sample sealing label; the remote sampling plan generation module is specifically used for:

[0137] The remote sampling plan is sent to the sampling mobile device of the remote sampling personnel, and the sampling mobile device performs sampling inspection on each sampling sample of the remote sampling plan;

[0138] Receive the sample site image and sample sealing label of each sample uploaded by the sampling inspection mobile device after the sampling inspection.

[0139] Preferably, the remote sampling summary module is specifically used for:

[0140] The inspection personnel perform structured storage of the sample site image and the sample sealing label according to the coding of the remote sampling inspection plan;

[0141] Generate test results based on the on-site image and sealing label of each sample;

[0142] Based on the detection results, complete the remote sampling inspection of the power grid materials.

[0143] Preferably, the device further comprises: a remote sampling information display module, which is used to:

[0144] Through the AR intelligent sampling system, the remote sampling plan is displayed with full process information;

[0145] Among them, the full-process information display includes one or more of the following: approval information of the remote sampling plan, issuance information of the remote sampling plan, information of the sampling samples and test results.

[0146] Preferably, the device further comprises: a supplier bad behavior platform interaction module, which is used to:

[0147] According to the test results, the relevant information of the sample failure of the sample under inspection is pushed to the supplier misconduct platform;

[0148] The sample unqualified related information includes one or more of the following: unqualified sample information, supplier information, material category, unqualified grade and unqualified items.

[0149] Example 3

[0150] like Figure 4 As shown, the present invention also provides an electronic device, which may be a computer device, a single-chip device, an intelligent mobile device, etc. The electronic device in this embodiment may include a processor, a memory, a transceiver component, etc. The memory, the processor, and the transceiver component are connected via a bus; the memory may be used to store an execution program, and an exemplary execution program may include instructions; the processor is used to execute the instructions stored in the memory. The memory may also be used to store data, which may be called and / or modified when the instructions are executed.

[0151] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in a storage medium to implement the corresponding method flow or corresponding functions, so as to realize the steps of an AR intelligent remote sampling method in the above-mentioned embodiment.

[0152] Example 4

[0153] Based on the same inventive concept, the present invention also provides a readable storage medium, specifically an electronic device readable storage medium (Memory), which is a memory device in an electronic device for storing programs and data. It is understandable that the storage medium here may include both a built-in storage medium in an electronic device and an extended storage medium supported by the electronic device. The storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions may be one or more execution programs (including program codes). It should be noted that the storage medium here may be a high-speed RAM memory or a non-volatile memory, such as at least one disk storage. The processor loads and executes one or more instructions stored in the storage medium, which can implement the steps of an AR intelligent remote sampling method in the above embodiment.

[0154] It should be understood by those skilled in the art that the embodiments of the present invention patent application can be provided as methods, systems, or computer program products. Therefore, the present invention patent application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention patent application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0155] The present invention patent application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present invention patent application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0156] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1A function specified in one or more boxes.

[0157] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0158] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the patent application of the present invention rather than to limit its protection scope. Although the patent application of the present invention is described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that after reading the patent application of the present invention, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation methods of the application, but these changes, modifications or equivalent substitutions are all within the protection scope of the claims to be approved.

Claims

1. An AR intelligent remote sampling method, characterized in that: include: In the AR intelligent sampling inspection system, the pre-built material differentiation sampling inspection model is used to generate the sampling inspection plan; For each delivery of power grid materials, a remote sampling plan is generated according to the sampling plan and sampling principles; The remote sampling inspection plan is sent to the sampling inspection mobile device, and the sampling inspection mobile device executes the remote sampling inspection plan and then feeds back the sampling results of the sampling samples; According to the sampling results, combined with the received test results of the sample for random inspection, the remote random inspection of the power grid materials is completed.

2. The method according to claim 1, characterized in that In the AR intelligent sampling inspection system, a pre-built material differentiation sampling inspection model is used to generate a sampling inspection plan, including: In the AR intelligent sampling inspection system, an initial sampling inspection plan is configured according to the power grid material procurement contract; the initial sampling inspection plan includes: the initial sampling sample quantity, the initial sampling quantity, the sampling sample category, the sampling sample inspection level and the inspection unit; Based on the initial number of samples for random inspection and the initial number of sampling, the final number of samples for random inspection and the final number of sampling are obtained through a pre-constructed differentiated material inspection model; A sampling plan for the material sampling platform is generated according to the final number of samples for random inspection, the final number of sampling, the category of the samples for random inspection, the detection level of the samples for random inspection and the detection unit.

3. The method according to claim 2, characterized in that The construction of the differentiated material sampling model includes: Based on the relevant data of remote sampling inspection of power grid, a decision tree neural network is used to train a differentiated sampling inspection model for materials; Adopting multi-dimensional accumulation strategy technology, optimizing the differentiated material sampling inspection model, and completing the construction of the differentiated material sampling inspection model; The power grid remote sampling inspection related data includes one or more of the following: historical sampling unqualified data, new supplier data and equipment operation history data.

4. The method according to claim 1, characterized in that The sampling results include: sample site images and sample sealing labels; the remote sampling plan is sent to the sampling mobile device, and after the sampling mobile device executes the remote sampling plan, the sampling results of the sample are fed back, including: The remote sampling plan is sent to the sampling mobile device of the remote sampling personnel, and the sampling mobile device performs sampling inspection on each sampling sample of the remote sampling plan; Receive the sample site image and sample sealing label of each sample uploaded by the sampling inspection mobile device after the sampling inspection.

5. The method according to claim 4, characterized in that The remote sampling inspection of the power grid materials is completed according to the sampling results and in combination with the received test results of the sample for sampling, including: The inspection personnel perform structured storage of the sample site image and the sample sealing label according to the coding of the remote sampling inspection plan; Generate test results based on the on-site image and sealing label of each sample; Based on the detection results, complete the remote sampling inspection of the power grid materials.

6. The method according to claim 1, characterized in that After receiving the test results of the sample inspection and completing the remote inspection of the power grid materials, the method further includes: Through the AR intelligent sampling inspection system, the entire process information of the remote sampling inspection plan is displayed; Among them, the full-process information display includes one or more of the following: approval information of the remote sampling plan, issuance information of the remote sampling plan, information of the sampling samples and test results.

7. The method according to claim 1, characterized in that After receiving the test results of the sample inspection and completing the remote inspection of the power grid materials, the method further includes: According to the test results, the relevant information of the sample failure of the sample under inspection is pushed to the supplier misconduct platform; The sample unqualified related information includes one or more of the following: unqualified sample information, supplier information, material category, unqualified grade and unqualified items.

8. An AR intelligent remote sampling device, characterized in that: include: Sampling inspection plan generation module, remote sampling inspection plan generation module, sampling result acquisition module and remote sampling inspection summary module; The sampling inspection plan generation module is used to generate a sampling inspection plan in the AR intelligent sampling inspection system by using a pre-built material differentiation sampling inspection model; The remote sampling plan generation module is used to generate a remote sampling plan for each arrival of power grid materials according to the sampling plan combined with the sampling principle; The sampling result acquisition module is used to send the remote sampling inspection plan to the sampling inspection mobile device, and the sampling inspection mobile device feeds back the sampling results of the sampling samples after executing the remote sampling inspection plan; The remote sampling summary module is used to complete the remote sampling of the power grid materials according to the sampling results and the test results of the received sampling samples.

9. The device according to claim 8, characterized in that The sampling inspection plan generation module is specifically used for: In the AR intelligent sampling inspection system, an initial sampling inspection plan is configured according to the power grid material procurement contract; the initial sampling inspection plan includes: the initial sampling sample quantity, the initial sampling quantity, the sampling sample category, the sampling sample inspection level and the inspection unit; Based on the initial number of samples for random inspection and the initial number of sampling, the final number of samples for random inspection and the final number of sampling are obtained through a pre-constructed differentiated material inspection model; A sampling plan for the material sampling platform is generated according to the final number of samples for random inspection, the final number of sampling, the category of the samples for random inspection, the detection level of the samples for random inspection and the detection unit.

10. The system according to claim 9, characterized in that The device also includes: a differentiated material sampling inspection model building module, which is used to: Based on the relevant data of remote sampling inspection of power grid, a decision tree neural network is used to train a differentiated sampling inspection model for materials; Adopting multi-dimensional accumulation strategy technology, optimizing the differentiated material sampling inspection model, and completing the construction of the differentiated material sampling inspection model; The power grid remote sampling inspection related data includes one or more of the following: historical sampling unqualified data, new supplier data and equipment operation history data.

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