Workshop abnormality handling method, system, device, equipment and storage medium

Abstract

The present application discloses a workshop abnormality handling method, system, device, equipment and storage medium. The method is to obtain abnormal information in the target workshop, and the abnormal information includes: abnormal information of operating parameters of the target equipment and / or abnormal packaging information of the product; generate corresponding abnormality resolution information based on the abnormal information; send the abnormality resolution information to the abnormality handling device, so that the abnormality handling device can solve the abnormality in the target workshop based on the abnormality resolution information. The corresponding abnormality resolution information can be automatically generated according to the abnormal information detected in the target workshop, and the abnormality resolution information can be sent to the abnormality handling device. The processing process is simple and less time-consuming, which improves the processing efficiency when handling abnormal problems in the workshop.

Description

Technical Field

[0001] The present application belongs to the technical field of lithium battery positive electrode material production, and in particular, relates to a workshop abnormality handling method, system, device, equipment and storage medium. Background Art

[0002] In the prior art, when producing lithium battery positive electrode materials, production workshops are mostly divided into production lines for division of labor. When abnormal problems occur in different production lines, multiple personnel are required to communicate across departments to determine solutions to the abnormal problems, and resource scheduling is required. The process of solving abnormal problems is relatively cumbersome and consumes a lot of time and manpower costs, resulting in low processing efficiency when dealing with abnormal problems in the workshop. Summary of the invention

[0003] The embodiment of the present application provides an implementation scheme different from the prior art to solve the technical problem of low processing efficiency when processing abnormal problems in a workshop in the related art.

[0004] In a first aspect, the present application provides a workshop exception handling method, which is applicable to intelligent control equipment, including: obtaining exception information in a target workshop, the exception information including: abnormal information on operating parameters of the target equipment and / or packaging abnormal information of the product; generating corresponding exception resolution information based on the exception information; and sending the exception resolution information to an exception handling device, so that the exception handling device resolves the exception occurring in the target workshop based on the exception resolution information.

[0005] In the second aspect, the present application provides a workshop exception handling system, comprising: an intelligent control device, a detection device, and an exception handling device; wherein: the detection device is used to detect the equipment, products, and environment in the target workshop, and obtain a first detection result; based on the first detection result, the abnormal information in the target workshop is determined and sent to the intelligent control device, and the abnormal information includes: the operating parameter abnormal information of the target equipment and / or the packaging abnormal information of the product; the intelligent control device is used to generate corresponding exception solution information based on the abnormal information; the exception solution information is sent to the exception handling device, so that the exception handling device solves the abnormality occurring in the target workshop based on the exception solution information.

[0006] In the third aspect, the present application provides a workshop exception handling device, which is suitable for intelligent control equipment, including: an acquisition unit, used to obtain exception information in a target workshop, and the exception information includes: abnormal operation parameter information of the target equipment and / or packaging abnormality information of the product; a generation unit, used to generate corresponding exception solution information based on the exception information; a solution unit, used to send the exception solution information to the exception handling device, so that the exception handling device solves the exception occurring in the target workshop based on the exception solution information.

[0007] In a fourth aspect, the present application provides an electronic device comprising: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to execute any method in the first aspect or any possible implementation scheme of the first aspect by executing the executable instructions.

[0008] In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the computer program implements any method in the first aspect or any possible implementation manner of the first aspect.

[0009] In a sixth aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the method described in the first aspect or any possible implementation manner of the first aspect.

[0010] The present application provides a solution for obtaining abnormal information in a target workshop, wherein the abnormal information includes: abnormal information on the operating parameters of the target equipment and / or abnormal information on the packaging of the product; generating corresponding abnormal solution information based on the abnormal information; and sending the abnormal solution information to an abnormality handling device so that the abnormality handling device can solve the abnormality in the target workshop based on the abnormal solution information. The corresponding abnormal solution information can be automatically generated according to the abnormal information detected in the target workshop, and the abnormal solution information can be sent to the abnormality handling device so that the abnormality handling device can solve the abnormality in the target workshop based on the abnormal solution information. The processing process is simple and less time-consuming, thereby improving the processing efficiency when handling abnormal problems in the workshop. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0012] Figure 1A flow chart of a workshop abnormality handling method provided in one embodiment of the present application;

[0013] Figure 2 A structural schematic diagram of a workshop abnormality handling system is provided for an embodiment of the present application;

[0014] Figure 3 A schematic diagram of the structure of a detection device provided in one embodiment of the present application;

[0015] Figure 4 A schematic diagram of the structure of an intelligent control device provided in one embodiment of the present application;

[0016] Figure 5 A schematic diagram of the structure of a personnel management module provided in one embodiment of the present application;

[0017] Figure 6 A schematic diagram of the structure of a workshop abnormality handling device provided in one embodiment of the present application;

[0018] Figure 7 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0019] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, but cannot be understood as limiting the present application.

[0020] The terms "first" and "second" etc. in the specification, claims and drawings of the embodiments of the present application are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein, for example. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment.

[0021] First, some terms in the embodiments of the present application are explained below to facilitate understanding by those skilled in the art.

[0022] AGV: (Automated Guided Vehicle) is an unmanned transport vehicle. AGV has the functions of automatic navigation, handling, positioning, obstacle avoidance, communication, etc. It can automatically drive on a preset path and complete tasks such as handling, stacking, and sorting of goods as needed.

[0023] Materials: Raw materials, components or accessories used in the production process of products.

[0024] In the prior art, workshops are mostly divided into production lines for division of labor. When abnormal problems occur in different production lines, multiple personnel are required to communicate across departments to determine solutions to the abnormal problems, and resource scheduling is required. Especially at night, it is more difficult to determine solutions to abnormal problems. The process of solving abnormal problems is relatively cumbersome and consumes a lot of time and manpower costs, resulting in low processing efficiency when dealing with abnormal problems in the workshop.

[0025] Specifically, taking the traditional material production workshop as an example, the traditional material production workshop is based on the division of labor of production lines of people, machines, materials, methods, and environments. If abnormal problems occur in different production lines during the production of the material workshop, the solution strategy in the prior art is to mobilize the various production line departments of the material production workshop to dispatch resource allocation to coordinate and solve the abnormal problem. However, the communication management and resolution of solutions across production line departments are relatively cumbersome, especially when abnormal management is carried out at night, which will result in a lot of time and manpower costs, and the lag in communication makes it difficult to deal with abnormal problems in a timely manner. And when facing similar abnormal problems and choosing different means to solve them, the responsible employees of each production line department are usually organized to hold meetings to discuss solutions to the abnormal problems, which is a waste of time and the efficiency of handling abnormal problems is low. In actual production, failure to handle abnormal problems in a timely manner will cause a certain degree of loss.

[0026] The technical solution of the present application and how the technical solution of the present application solves the above-mentioned technical problems are described in detail below with specific embodiments. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of the present application will be described below in conjunction with the accompanying drawings.

[0027] Figure 1A flow chart of a workshop exception handling method provided for an exemplary embodiment of the present application, the execution subject of the method may be an intelligent control device, and the intelligent control device may be a terminal or a server or other device. The terminal may be a tablet computer or a laptop computer. The server may be an independent physical server, or a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (CDN), and big data and artificial intelligence platforms. Optionally, the method includes at least the following steps S101-S103:

[0028] S101, obtaining abnormal information in a target workshop, wherein the abnormal information includes: abnormal information on operating parameters of target equipment and / or abnormal information on packaging of products;

[0029] Optionally, the aforementioned target workshop is a production workshop for lithium battery positive electrode materials.

[0030] Optionally, the intelligent control device may be inside the target workshop or outside the target workshop. The target workshop may have multiple devices for product production, packaging, transportation, etc. The aforementioned target device may be any one or more devices in the target workshop.

[0031] Optionally, the operating parameter abnormality information of the target device may include the operating parameters of the device where the abnormality occurs.

[0032] Optionally, the operating parameter abnormality information of the target device may include: the operating parameters of the device where the abnormality occurs and an abnormality prompt indicating that the operating parameter abnormality occurs.

[0033] Optionally, the operating parameters of the target device include parameters such as operating time, operating temperature, rotation speed and zero point of the target device.

[0034] Optionally, different target devices have different operating parameters.

[0035] Optionally, the target device is one or more production devices among a plurality of production devices for producing lithium battery positive electrode materials.

[0036] The production equipment for producing lithium battery positive electrode materials mainly has the properties of efficient mixing, fine ball milling, precise tableting, and automated control to ensure material uniformity, surface smoothness and production efficiency.

[0037] Optionally, the production equipment for producing lithium battery positive electrode materials includes mixing equipment, grinding equipment, drying equipment, kiln equipment, crushing and grading equipment, and packaging equipment.

[0038] Specifically, the mixing equipment may be a double planetary mixer, the grinding equipment may be a ball mill, the drying equipment may be a spray dryer, the kiln equipment may be a roller kiln or a rotary kiln, the crushing and grading equipment may be a jet mill, and the packaging equipment may be a packaging machine.

[0039] For example, when the target device is a jet mill, the operating parameters of the jet mill may include grinding air pressure, high material level, low material level, feeding frequency, and classification frequency.

[0040] In some embodiments, when an operating parameter of a target device is abnormal, the target device will generate abnormal information. Whether the operating parameter of the target device is abnormal can be determined based on a preset normal range of the operating parameter, wherein the normal range of the operating parameter can be set according to actual needs. When a certain operating parameter is not within its corresponding normal range, it is considered that the operating parameter is abnormal.

[0041] Optionally, the packaging abnormality information refers to packaging abnormality prompt information such as the product packaging is damaged, stained, incorrectly packaged, collapsed, etc.

[0042] S102, generating corresponding exception resolution information based on the exception information;

[0043] Optionally, in S102, corresponding exception resolution information is generated based on the exception information, including: obtaining a preset target exception resolution model, wherein the target exception resolution model may be a model with computer vision function; inputting the exception information into the target exception resolution model to obtain the exception resolution information.

[0044] Optionally, the acquisition process of the target anomaly resolution model may refer to the following content, and the method further includes S10221-S10222:

[0045] S10221. Acquire multiple groups of sample abnormality information of the target workshop, wherein the sample abnormality information includes sample operation parameter abnormality information of the target equipment and / or sample packaging abnormality information of the product, wherein the sample operation parameter abnormality information and / or the sample packaging abnormality information of the product may be in the format of picture information and / or text information;

[0046] S10222: Train the initial anomaly resolution model based on the multiple groups of sample anomaly information to obtain a target anomaly resolution model, so that the target anomaly resolution model generates corresponding anomaly resolution information based on the input anomaly information.

[0047] Optionally, the training process of the target anomaly resolution model can be executed in the intelligent control device or in other devices. When the training process of the target anomaly resolution model is executed in other devices, the other devices need to upload the target anomaly resolution model to the intelligent control device.

[0048] Among them, the specific training process of training the initial exception resolution model to obtain the target exception resolution model will not be described in detail, and reference can be made to the process of training the model to obtain the target model in the prior art.

[0049] When the abnormal information includes abnormal operation parameter information of the target device, the abnormality resolution information includes target parameters corresponding to the abnormal operation parameter information, wherein the target parameters refer to normal operation parameters.

[0050] When the exception information includes product packaging exception information, the exception resolution information includes a transportation control instruction for controlling a product transportation device to transport a first to-be-processed product corresponding to the to-be-processed product information to a to-be-processed warehouse.

[0051] S103: Send the exception resolution information to an exception handling device, so that the exception handling device resolves the exception occurring in the target workshop based on the exception resolution information.

[0052] Optionally, when the abnormal information includes abnormal operation parameter information of the target device, in the aforementioned S102, generating corresponding abnormal solution information based on the abnormal information includes the following steps S1021-S1024:

[0053] S1021, obtaining product indicators of the product being processed by the target device;

[0054] Optionally, product indicators refer to various parameters used to measure and evaluate products, such as particle size, volume, etc. When the target product processed by the target equipment is a ternary lithium battery positive electrode material, the product indicators include: particle size (different particle sizes such as D50 and D100), specific surface area, compounding value, and total alkali, etc. The product indicators of different products are different.

[0055] S1022, obtaining a preset target parameter adjustment model;

[0056] Optionally, the target parameter adjustment model can be determined by machine learning, and the method includes the following steps S01-S03:

[0057] S01, obtaining a plurality of historical operating parameters when the target device processes a plurality of historical products;

[0058] S02. For each of the plurality of historical operating parameters, a historical product index of a corresponding historical product obtained by processing a material by the target device with the historical operating parameter is obtained, and a plurality of historical product indexes are obtained. When the target device processes a material with the historical operating parameter to obtain the historical product whose product index is the historical product index, no abnormality occurs in the historical operating parameter.

[0059] Optionally, the intelligent control device may include a first data storage unit, and the intelligent control device may obtain a plurality of historical operating parameters of the target device and a plurality of historical product indicators corresponding to the plurality of historical operating parameters from the first data storage unit.

[0060] S03. Training an initial parameter adjustment model based on the multiple historical operating parameters and the multiple historical product indicators to obtain the target parameter adjustment model.

[0061] The aforementioned multiple historical operating parameters and the aforementioned multiple historical product indicators may be data within a preset historical time period.

[0062] Optionally, the first data storage unit is used to store the aforementioned multiple historical operating parameters, the aforementioned multiple historical product indicators, and the production environment information within the aforementioned preset historical time period, wherein the production environment information may include: the production environment of the target equipment when processing the product, such as the temperature and humidity of the target workshop.

[0063] Optionally, the target parameter adjustment model may be obtained by training in combination with production environment information.

[0064] In some optional embodiments of the present application, each target device corresponds to a target parameter adjustment model.

[0065] In some optional embodiments of the present application, different target devices may correspond to the same target parameter adjustment model.

[0066] In some optional embodiments of the present application, when the target device is a jet mill, the aforementioned multiple historical product indicators may be multiple product indicators of multiple batches of historical products crushed by the jet mill in the historical time period. The aforementioned multiple historical operating parameters may be a set of device operating parameters used for each batch of multiple batches of historical products crushed by the jet mill in the historical time period. The device operating parameters may include the classifying wheel speed, feeding frequency, etc.

[0067] S1023. Analyze the abnormal operation parameter information and the product index based on the target parameter adjustment model to obtain a target parameter corresponding to the abnormal operation parameter information;

[0068] Optionally, the analyzing the abnormal operation parameter information and the product index based on the target parameter adjustment model to obtain the target parameter corresponding to the abnormal operation parameter information includes: inputting the abnormal operation parameter information and the product index into the target parameter adjustment model to obtain the target parameter corresponding to the abnormal operation parameter information. The target parameter is the optimal solution of the parameter determined by the target parameter adjustment model.

[0069] The internal unit in the target parameter adjustment model has the function of performing regression simulation analysis on the abnormal information of the operating parameters and the product indicators, and determining whether the product indicators are reasonable.

[0070] When product indicators are unreasonable, determine the target parameters.

[0071] Optionally, the training process of the target parameter adjustment model can be executed in the intelligent control device or in other devices. When the training process of the target parameter adjustment model is executed in other devices, the other devices need to upload the target parameter adjustment model to the intelligent control device.

[0072] S1024. Generate corresponding exception resolution information based on the target parameter, wherein the exception handling device is the target device.

[0073] Optionally, in S1024, generating corresponding exception resolution information based on the target parameter includes: using the target parameter as the corresponding exception resolution information, or a part of the exception resolution information.

[0074] Optionally, when the abnormal information includes abnormal information on the operating parameters of the target device, an operable intelligent control control may be displayed on the control panel of the aforementioned target device. The intelligent control control can set the adjustment method of the operating parameters of the target device to switch remote / manual / intelligent mode according to the instructions of relevant personnel, and adjust the operating parameters of the target device corresponding to the central control personnel / on-site production personnel / intelligent machine operation respectively.

[0075] Optionally, the intelligent control device may include a second data storage unit, and the method further includes the following steps S330-S332:

[0076] S330, obtaining a first operating parameter of the target device before parameter adjustment and a first product index of a product obtained by processing a material by the target device based on the first operating parameter;

[0077] S331, obtaining a second operating parameter of the target device after parameter adjustment and a second product index of a product obtained by processing a material by the target device based on the second operating parameter;

[0078] S332: Store the first operating parameter, the first product index, the second operating parameter, and the second product index in a second data storage unit.

[0079] Optionally, the second data storage unit is used to store the device operating parameters and product indicators before and after the parameter adjustment for later data analysis.

[0080] Optionally, the intelligent control device may include a third data storage unit for storing log information of the target workshop, which includes operating parameters of each device, corresponding processed materials, obtained products, product indicators, production environment data when generating products, etc.

[0081] The data stored in the first data storage unit and the data stored in the second data storage unit are included in the aforementioned log information.

[0082] Optionally, when the abnormal information includes abnormal packaging information of the product, in the aforementioned S102, generating corresponding abnormality resolution information based on the abnormal information includes the following steps S001-S003:

[0083] S001. Obtain the product information to be processed corresponding to the packaging abnormality information;

[0084] The product information to be processed corresponding to the packaging abnormality information refers to: the product identifier of the first product to be processed corresponding to the packaging abnormality information, wherein the product identifier may refer to the product name.

[0085] Optionally, whether there is any abnormality in the packaging of the product can be detected by packaging detection equipment based on visual technology.

[0086] Optionally, the method further comprises the following steps S1-S2:

[0087] S1. After receiving an indication signal indicating that the packaging of the product to be inspected is completed, generating a transport instruction for controlling a product transport device to transport the product to be inspected to an inspection position of a packaging inspection device;

[0088] S2. Sending a transport instruction to the product transport device, so that the product transport device is controlled to transport the product to be inspected to the inspection position of the packaging inspection device based on the transport instruction.

[0089] S002, generating a transport control instruction for controlling a product transport device to transport a first product to be processed corresponding to the product information to be processed to a warehouse to be processed;

[0090] Optionally, the product transport equipment may be an AGV vehicle.

[0091] Optionally, in the aforementioned S002, the generating of the transport control instruction for controlling the product transport equipment to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed includes the following steps S0021-S0025:

[0092] S0021. Obtaining map information of the target workshop;

[0093] S0022. Acquire first position information of a first product to be processed corresponding to the product information to be processed;

[0094] S0023. Obtain the second location information of the warehouse to be processed;

[0095] S0024. Planning a transportation route for transporting the first product to be processed to a warehouse to be processed based on the map information, the first location information, and the second location information;

[0096] S0025. Generate a transportation control instruction for controlling a product transportation device to transport a first product to be processed corresponding to the product information to be processed to a warehouse to be processed based on the transportation route.

[0097] The transportation control instruction is used to instruct the product transportation equipment to transport the first product to be processed corresponding to the product to be processed information to the warehouse to be processed according to the transportation route.

[0098] S003. Generate corresponding exception resolution information based on the transportation control instruction; wherein the exception handling device includes the product transportation equipment.

[0099] Optionally, in S003, generating corresponding exception resolution information based on the transportation control instruction includes: using the transportation control instruction as the corresponding exception resolution information, or a part of the exception resolution information.

[0100] Optionally, the method further comprises the following steps S0001-S0002:

[0101] S0001. Obtain quality inspection information of the second product to be processed in normal packaging in the target workshop;

[0102] S0002. Control the transmission of the third product to be processed whose quality is indicated as qualified by the quality inspection information among the second product to be processed to the shipping port.

[0103] Exemplarily, for products with normal packaging, when the intelligent control device obtains the quality inspection information uploaded by the inspection center, it analyzes and processes the quality inspection information. If the quality inspection information indicates that the product quality of the second product to be processed is qualified, it is determined that the product can be shipped, and then a first shipping and transportation instruction is generated to control the product transportation equipment to transport the second product to be processed to the shipping port, and the first shipping and transportation instruction is sent to the product transportation equipment, so that the product transportation equipment transports the second product to be processed to the shipping port based on the first shipping and transportation instruction.

[0104] Optionally, the method further includes: generating a second shipping instruction for controlling the product transport device to transport the second product to be processed to the warehouse to be shipped, and issuing the second shipping instruction to the product transport device, so that the product transport device transports the second product to be processed to the warehouse to be shipped based on the second shipping instruction. The aforementioned shipping port is a shipping port in the warehouse to be shipped.

[0105] Optionally, the first shipping and transportation instructions and the second shipping and transportation instructions may include the product number of the second product to be processed, and products with adjacent product numbers may be placed in adjacent positions.

[0106] Optionally, when the abnormal information further includes environmental abnormal information and / or external appearance abnormal information of the target device, the method further includes the following steps S1011-S1012:

[0107] S1011, generating abnormal prompt information corresponding to the environmental abnormal information and / or the external appearance abnormal information;

[0108] Optionally, the environmental anomaly includes metal impurities exceeding the standard in the target workshop, temperature exceeding the standard in the target workshop, dust exceeding the standard in the target workshop, ambient temperature exceeding the standard in the target workshop, and ambient humidity exceeding the standard in the target workshop. Exceeding the standard means setting a standard range. If the actual parameter exceeds the corresponding standard range, it is deemed that the actual parameter exceeds the standard. The environmental anomaly information includes the actual environmental parameters of the target workshop that are abnormal.

[0109] Optionally, the aforementioned target workshop is a production workshop for lithium battery positive electrode materials, and the dust exceeding the standard in the target workshop means that the dust concentration generated in the target workshop during the production process exceeds the standard range.

[0110] During the production process of lithium battery positive electrode materials, dust containing lithium and other transition metals will inevitably be produced. When the dust comes into contact with the workshop environment, dust carrying metal foreign matter may be brought into the product, such as dust carrying Cu in the workshop air. However, if dust carrying Cu is mixed into normally produced lithium battery products, it is very easy to generate metal elements during the subsequent use of the battery, thereby puncturing the battery diaphragm and causing the battery to short-circuit, thus causing safety accidents. Therefore, in the production workshop of lithium battery positive electrode materials, it is necessary to detect the dust concentration in the workshop, so as to better control the dust concentration in the workshop and avoid safety problems in the lithium battery products produced due to excessive dust concentration.

[0111] Optionally, the external appearance abnormal information refers to information such as rust on the target device, gas leakage, water leakage, dripping and liquid leakage on the target device.

[0112] Optionally, the inspection robot can detect the target workshop environment and the external appearance of each device to obtain a second detection result, wherein the second detection result is detection information that the inspection robot detects abnormalities in the target workshop environment and / or the external appearance of each device.

[0113] S1012: Send the abnormal prompt information to a prompt device, so that the prompt device displays the abnormal prompt information for relevant personnel to view.

[0114] Optionally, the prompt device may be a large display screen corresponding to the target workshop, or may be a terminal device of a person in the target workshop who is responsible for the abnormal problem corresponding to the abnormal prompt information, and may be a mobile phone or other terminal devices.

[0115] Optionally, when receiving the abnormal prompt information, the relevant personnel should take corresponding measures to solve the abnormal problem corresponding to the abnormal prompt information, so as to put the target equipment or target workshop into a safe production state.

[0116] Optionally, the inspection robot may automatically perform abnormality detection on the environment of the target workshop and the external appearance of the target equipment in the target workshop at a set frequency and route.

[0117] Optionally, the method also includes: if the exception information in the target workshop is received from the first terminal and the corresponding exception resolution information is not successfully generated based on the exception information, the exception information is sent to the second terminal; wherein the management level corresponding to the first terminal is lower than the management level corresponding to the second terminal.

[0118] Optionally, the method further includes S220-S221:

[0119] S220, obtaining employee entry information, the entry information including identity information and entry time;

[0120] S221. Implementing an employee's clock-in function based on the entry information, and / or determining whether the employee can enter a target workshop based on the entry information.

[0121] The identity information may include at least one of the following: fingerprint information, facial information, and employee number.

[0122] Optionally, the method further includes: acquiring and storing video information of the target workshop in real time for relevant personnel to manage personnel and equipment in the target workshop, thereby realizing responsibility management, better enhancing employees' sense of responsibility, and further ensuring the safety of the target workshop.

[0123] Optionally, the method also includes: acquiring and storing in real time the production standards, exception information and exception resolution information of the target workshop, acquiring detection information, acquiring target information based on the retrieval information, and displaying the target information so that relevant staff can obtain the required exception information, exception resolution information and workshop production standards by performing exception retrieval or production standard retrieval.

[0124] The present application provides a solution for obtaining abnormal information in a target workshop, wherein the abnormal information includes: abnormal information on the operating parameters of the target equipment and / or abnormal information on the packaging of the product; generating corresponding abnormal solution information based on the abnormal information; and sending the abnormal solution information to an abnormality handling device so that the abnormality handling device can solve the abnormality in the target workshop based on the abnormal solution information. The corresponding abnormal solution information can be automatically generated based on the abnormal information detected in the target workshop, and the abnormal solution information can be sent to the abnormality handling device so that the abnormality handling device can solve the abnormality in the target workshop based on the abnormal solution information. The processing process is simple and time-consuming, which improves the processing efficiency when handling abnormal problems in the workshop.

[0125] In summary, this solution also determines whether employees can enter the target workshop based on the entry information to ensure the safety of the target workshop. In addition, this solution also introduces a target parameter adjustment model trained by computer vision and machine learning to provide data analysis and data prediction for abnormal problems of workshop equipment, and obtain solutions to equipment abnormalities. And automatically handle abnormal problems in the workshop through intelligent control equipment (big data and AI technology), saving manpower and thus improving the efficiency of handling abnormal problems. By performing packaging inspection on the packaging of the product, and automatically delivering the product to the designated warehouse according to the test results, and determining whether the product can be shipped based on the test information, the product is automatically shipped. There is no need for manpower to check the packaging of the product, and there is no need for manpower to ship the product, which improves the packaging inspection efficiency of the product and the shipping efficiency of the product. And by sending products with abnormal packaging to the warehouse to be processed for isolation to avoid sending products with abnormal packaging, the customer complaint rate is reduced and the shipping efficiency is improved.

[0126] Figure 2 A structural diagram of a workshop abnormality handling system provided for an exemplary embodiment of the present application; the system includes an intelligent control device 20, a detection device 21, and an abnormality handling device 22; wherein:

[0127] The detection device 21 is used to detect the equipment, products, and environment in the target workshop and obtain a first detection result; based on the first detection result, abnormal information in the target workshop is determined and sent to the intelligent control device 20, and the abnormal information includes: abnormal operation parameter information of the target equipment and / or abnormal packaging information of the product;

[0128] The intelligent control device 20 is used to generate corresponding exception resolution information based on the exception information; send the exception resolution information to the exception handling device 22, so that the exception handling device 22 resolves the exception occurring in the target workshop based on the exception resolution information.

[0129] Optionally, the intelligent control device 20 may be inside or outside the target workshop. The target workshop may have a plurality of devices for product production, packaging, transportation, etc. The aforementioned target device may be any one or more devices in the target workshop.

[0130] Optionally, the operating parameter abnormality information of the target device may include the operating parameters of the device where the abnormality occurs.

[0131] Optionally, the operating parameter abnormality information of the target device may include: the operating parameters of the device where the abnormality occurs and an abnormality prompt indicating that the operating parameter abnormality occurs.

[0132] Optionally, the operating parameters of the target device include parameters such as operating time, operating temperature, rotation speed and zero point of the target device.

[0133] Optionally, different target devices have different operating parameters.

[0134] For example, when the target device is a jet mill, the operating parameters of the jet mill may include grinding air pressure, high material level, low material level, feeding frequency, and classification frequency.

[0135] In some embodiments, when an operating parameter of a target device is abnormal, the target device will generate abnormal information. Whether the operating parameter of the target device is abnormal can be determined based on a preset normal range of the operating parameter, wherein the normal range of the operating parameter can be set according to actual needs. When a certain operating parameter is not within its corresponding normal range, it is considered that the operating parameter is abnormal.

[0136] Optionally, the packaging abnormality information refers to packaging abnormality prompt information such as the product packaging is damaged, stained, incorrectly packaged, collapsed, etc.

[0137] Optionally, when the abnormal information includes abnormal operating parameter information of the target device, the intelligent control device 20, when used to generate corresponding abnormal solution information based on the abnormal information, is specifically used to: obtain product indicators of the product being processed by the target device; obtain a preset target parameter adjustment model; based on the target parameter adjustment model, analyze the abnormal operating parameter information and the product indicators to obtain target parameters corresponding to the abnormal operating parameter information; generate corresponding abnormal solution information based on the target parameters, wherein the abnormal handling device 22 is the target device.

[0138] Optionally, the system or intelligent control device 20 further includes a parameter adjustment training module, the parameter adjustment training module being used to: obtain a plurality of historical operating parameters when the target device processes a plurality of historical products; for each of the plurality of historical operating parameters, obtain a historical product index of a corresponding historical product obtained by the target device processing a material with the historical operating parameter, and obtain a plurality of historical product indexes, and when the target device processes a material with the historical operating parameter to obtain the historical product whose product index is the historical product index, the historical operating parameter is not abnormal;

[0139] The initial parameter adjustment model is trained based on the multiple historical operating parameters and the multiple historical product indicators to obtain the target parameter adjustment model.

[0140] Optionally, the intelligent control device 20 further includes a first data storage unit, and the intelligent control device can obtain multiple historical operating parameters of the target device and multiple historical product indicators corresponding to the multiple historical operating parameters from the first data storage unit. The aforementioned multiple historical operating parameters and the aforementioned multiple historical product indicators can be data within a preset historical time period.

[0141] Optionally, the first data storage unit is used to store the aforementioned multiple historical operating parameters, the aforementioned multiple historical product indicators, and the production environment information within the aforementioned preset historical time period, wherein the production environment information may include: the production environment of the target equipment when processing the product, such as the temperature and humidity of the target workshop.

[0142] Optionally, the parameter adjustment training module can be trained in combination with production environment information to obtain a target parameter adjustment model.

[0143] Optionally, the parameter adjustment training module mainly trains the target parameter adjustment model based on machine learning. The training process can be executed in the intelligent control device 20 or in other devices. When the training process of the parameter adjustment training module is executed in other devices, the other devices need to upload the target parameter adjustment model obtained by the parameter adjustment training module to the intelligent control device 20. The training process of the model will not be repeated here.

[0144] In some optional embodiments of the present application, each target device corresponds to a target parameter adjustment model.

[0145] In some optional embodiments of the present application, different target devices may correspond to the same target parameter adjustment model.

[0146] In some optional embodiments of the present application, when the target device is a jet mill, the aforementioned multiple historical product indicators may be multiple product indicators of multiple batches of historical products crushed by the jet mill in the historical time period. The aforementioned multiple historical operating parameters may be a set of device operating parameters used for each batch of multiple batches of historical products crushed by the jet mill in the historical time period. The device operating parameters may include the classifying wheel speed, feeding frequency, etc.

[0147] Optionally, when the intelligent control device 20 is used to analyze the abnormal operation parameter information and the product index based on the target parameter adjustment model to obtain the target parameter corresponding to the abnormal operation parameter information, it is specifically used to: input the abnormal operation parameter information and the product index into the target parameter adjustment model to obtain the target parameter corresponding to the abnormal operation parameter information. The target parameter is the optimal solution of the parameter determined by the target parameter adjustment model. The internal unit in the target parameter adjustment model has the function of performing regression simulation analysis on the abnormal operation parameter information and the product index, and determining whether the product index is reasonable, and determining the target parameter when the product index is unreasonable.

[0148] Specifically, the internal unit in the target parameter adjustment model may be a machine learning unit having a function of performing regression simulation analysis on data.

[0149] Optionally, when the abnormal information includes the packaging abnormal information of the product, the intelligent control device 20 is used to generate the corresponding abnormal solution information based on the abnormal information, specifically for: obtaining the product information to be processed corresponding to the packaging abnormal information; generating a transportation control instruction for controlling the product transportation device to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed; generating the corresponding abnormal solution information based on the transportation control instruction; wherein the abnormality handling device 22 includes the product transportation device. The product information to be processed corresponding to the packaging abnormal information refers to: the product identification of the first product to be processed corresponding to the packaging abnormal information, wherein the product identification may refer to the product name.

[0150] Optionally, the detection device 21 in the system further includes a packaging detection device and an alarm unit: the packaging detection device is used to detect the packaging of the products in the target workshop to obtain first detection information, and the alarm unit is used to alarm when the packaging detection device detects that there is an abnormality in the packaging of the product. Specifically, the packaging detection device can automatically detect whether there is a packaging abnormality in the product packaging of each product through visual technology.

[0151] Optionally, the system also includes a product transportation device, and the intelligent control device 20 is also used to: after receiving an indication signal that packaging of the product to be inspected is completed, generate a transportation instruction for controlling the product transportation device to transport the product to be inspected to the inspection position of the packaging inspection device; send the transportation instruction to the product transportation device; the product transportation device is used to transport the product to be inspected to the inspection position of the packaging inspection device based on the transportation instruction.

[0152] Optionally, the product transport equipment may be an AGV vehicle.

[0153] Optionally, when the intelligent control device 20 is used to generate the transportation control instruction for controlling the product transportation device to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed, it is specifically used to: obtain the map information of the target workshop; obtain the first location information of the first product to be processed corresponding to the product information to be processed; obtain the second location information of the warehouse to be processed; plan the transportation route for transporting the first product to be processed to the warehouse to be processed based on the map information, the first location information, and the second location information; generate the transportation control instruction for controlling the product transportation device to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed based on the transportation route. The transportation control instruction is used to instruct the product transportation device to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed according to the transportation route.

[0154] Optionally, when the intelligent control device 20 is used to generate corresponding exception resolution information based on the transportation control instruction, it is specifically used to: use the transportation control instruction as the corresponding exception resolution information, or a part of the exception resolution information.

[0155] Optionally, the system further comprises a prompting device, such as Figure 3 As shown, the detection device 21 includes an inspection module 214; the inspection module 214 is used to detect the environment in the target workshop and the external appearance of each device, and obtain a second detection result, and the abnormal information also includes the environmental abnormality information and / or the external appearance abnormality information of the target device in the second detection result, and the second detection result is included in the first detection result; the intelligent control device 20 is also used to generate abnormal prompt information corresponding to the environmental abnormality information and / or the external appearance abnormality information; send the abnormal prompt information to the prompt device, so that the prompt device displays the abnormal prompt information for relevant personnel to view.

[0156] Optionally, the prompt device may be a large display screen corresponding to the target workshop, or may be a terminal device of a person in the target workshop who is responsible for the abnormal problem corresponding to the abnormal prompt information, and may be a mobile phone or other terminal devices.

[0157] Optionally, the environmental abnormality information includes abnormal information indicating that metal impurities in the target workshop exceed the standard, the temperature in the target workshop exceeds the standard, the dust in the target workshop exceeds the standard, the ambient temperature in the target workshop exceeds the standard, and the ambient humidity in the target workshop exceeds the standard.

[0158] Optionally, the external appearance abnormal information refers to information such as rust on the target device, gas leakage, water leakage, dripping and liquid leakage on the target device.

[0159] Alternatively, if Figure 3As shown, the inspection module 214 also includes an inspection robot.

[0160] Optionally, the inspection robot can automatically detect the target workshop environment and the external appearance of each device according to a set frequency and route, and obtain a second detection result. The second detection result is detection information that the inspection robot detects that the target workshop environment and / or the external appearance of each device are abnormal.

[0161] The inspection robot includes a mechanical arm detector, a metal impurity tester, a dust tester, a temperature and humidity tester, etc. The mechanical arm detector is used to detect the external appearance of the target device;

[0162] The metal impurity detector is used to detect whether the metal impurities in the target workshop exceed the standard; the dust tester is used to detect whether the dust in the target workshop exceeds the standard; the temperature and humidity tester is used to detect whether the temperature and / or humidity in the target workshop exceeds the standard.

[0163] In some optional embodiments of the present application, the detection device 21 also includes an information processor, which is used to determine abnormal information in the target workshop according to the first detection result and send the abnormal information to the intelligent control device 20.

[0164] In some other optional embodiments of the present application, the detection device 21 further includes an information processor, the aforementioned information processor includes a first sub-information processor, a second sub-information processor, and a third sub-information processor. The first sub-information processor is used to send the abnormal operation parameter information of the target device to the first notification device, the second sub-information processor is used to send the abnormal packaging information of the product to the second notification device, and the third sub-information processor is used to send the abnormal environment information and / or the abnormal external appearance information of the target device to the third notification device.

[0165] Among them, the first notification device, the second notification device, and the third notification device may correspond to different responsible persons respectively.

[0166] Furthermore, the first notification device, the second notification device, and the third notification device may be respectively provided with a signal converter, and the first notification device, the second notification device, and the third notification device may send corresponding abnormal information to the intelligent control device 20 through their respective signal converters.

[0167] Each of the first sub-information processor, the second sub-information processor, and the third sub-information processor may be paired with the first notification device, the second notification device, and the third notification device, respectively.

[0168] The first notification device, the second notification device, and the third notification device can transmit data without hindrance throughout the day.

[0169] It should be understood that in the prior art, the inspection robots in the workshop are relatively simple and cannot perform one-by-one inspections on complex production sites. They also need to upload abnormal situations, and the person in charge at the background will review the reported abnormal situations, which is lagging. At the same time, the existing inspection robots do not have the ability to inspect the temperature, humidity, and dust in the workshop. However, the inspection robot of this solution includes a mechanical arm detector, a metal impurity tester, a dust tester, a temperature and humidity tester, etc., which can perform special operations. The mechanical arm detector can be used to check whether the external appearance of complex mechanical equipment is abnormal. At the same time, the information processor can quickly generate corresponding abnormal information based on the detection information, and quickly transmit the abnormal information to the intelligent control device 20. The intelligent control device 20 generates prompt information based on the abnormal information and sends it to the first prompt terminal to prompt the relevant personnel in the corresponding position to handle it, saving the time of manual review in the background and improving the efficiency of handling abnormal problems.

[0170] Optionally, the inspection module 214 is further configured to collect and store second detection information indicating that the inspection robot detects that the production environment of the target workshop and / or the external appearance of the equipment in the target workshop is abnormal, and to generate an alarm when the inspection robot detects the second detection information. Figure 3 As shown, the inspection module 214 further includes: a data collector and an abnormal alarm; the data collector is used to collect and store the second detection information that the inspection robot detects that the production environment of the target workshop and / or the external appearance of the equipment in the target workshop is abnormal. The abnormal alarm is used to alarm when the inspection robot detects the second detection information.

[0171] In summary, the second detection information recorded and stored in the data collector can be used to analyze and determine whether the environmental abnormalities or external appearance abnormalities of the target workshop occur frequently. For the environment of the workshop or the equipment in the workshop where abnormal problems often occur, key rectification and maintenance can be carried out to ensure the safe operation of the workshop.

[0172] Optionally, when the intelligent control device 20 is used to generate corresponding exception resolution information based on the exception information, it is specifically used to: obtain a preset target exception resolution model, wherein the target exception resolution model can be a model with computer vision function; input the exception information into the target exception resolution model to obtain the exception resolution information.

[0173] Optionally, when the abnormal information includes abnormal operation parameter information of the target device, the abnormal solution information includes the target parameter corresponding to the abnormal operation parameter information, wherein the target parameter refers to a normal operation parameter. When the abnormal information includes abnormal packaging information of the product, the abnormal solution information includes a transportation control instruction for controlling the product transportation equipment to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed.

[0174] Optionally, when the intelligent control device 20 is used to generate corresponding exception resolution information based on the exception information, it is specifically used to: obtain product indicators of the product being processed by the target device; obtain a preset target parameter adjustment model; based on the target parameter adjustment model, analyze the operating parameter abnormal information and the product indicators to obtain the target parameters corresponding to the operating parameter abnormal information; generate corresponding exception resolution information based on the target parameters, wherein the exception handling device 22 is the target device.

[0175] Optionally, product indicators refer to various parameters used to measure and evaluate products, such as particle size, volume, etc. When the product being processed by the target equipment is a ternary lithium battery positive electrode material, the product indicators include: particle size (different particle sizes such as D50 and D100), specific surface area, compounding value, and total alkali, etc. The product indicators of different products are different.

[0176] Optionally, when the intelligent control device 20 is used to generate corresponding exception resolution information based on the target parameter, it is specifically used to: use the target parameter as the corresponding exception resolution information, or a part of the exception resolution information.

[0177] Optionally, the intelligent control device 20 also includes a cloud-based intelligent controller, and the cloud-based intelligent controller is used to generate corresponding exception resolution information based on the target parameters.

[0178] Optionally, when the abnormal information includes abnormal information on the operating parameters of the target device, an operable intelligent control control may be displayed on the control panel of the aforementioned target device. The intelligent control control can set the adjustment method of the operating parameters of the target device to switch remote / manual / intelligent mode according to the instructions of relevant personnel, and adjust the operating parameters of the target device corresponding to the central control personnel / on-site production personnel / intelligent machine operation respectively.

[0179] Optionally, the system further includes an exception resolution model training module, which is used to: obtain multiple sets of sample exception information of the target workshop, wherein the sample exception information includes sample operation parameter exception information of the target equipment and / or sample packaging exception information of the product, wherein the format of the sample operation parameter exception information and / or the sample packaging exception information of the product can be image information and / or text information; train the initial exception resolution model based on the multiple sets of sample exception information to obtain the target exception resolution model. So that the target exception resolution model generates corresponding exception resolution information based on the input exception information. So that when similar abnormal problems occur in the target workshop, the target exception resolution model can be used to quickly obtain the exception resolution information.

[0180] Optionally, the training process of the abnormality resolution model training module can be executed in the intelligent control device 20 or in other devices. When the training process of the abnormality resolution model training module is executed in other devices, the other devices need to upload the target abnormality resolution model obtained by training the abnormality resolution model training module to the intelligent control device 20. The specific training process of training the initial abnormality resolution model to obtain the target abnormality resolution model will not be described in detail, and the process of training the model to obtain the target model in the prior art can be referred to.

[0181] Alternatively, if Figure 2 As shown, the system further includes a first terminal 25 and a second terminal 26: specifically, the detection device 21 includes the first terminal 25; the detection device 21 can specifically send the abnormal information in the target workshop determined based on the first detection result to the intelligent control device 20 by the first terminal 25; the first terminal 25 is used to send the abnormal information in the target workshop to the intelligent control device 20; the intelligent control device 20 is also used to: if the abnormal information in the target workshop is received from the first terminal 25, and the corresponding abnormal solution information is not successfully generated based on the abnormal information, then send the abnormal information to the second terminal 26; the second terminal 26 is used to receive the abnormal information sent by the intelligent control device 20. Among them, the management level corresponding to the first terminal 25 is lower than the management level corresponding to the second terminal 26. The efficiency of abnormal information reporting is improved by directly sending the abnormal information to the second terminal through the first terminal.

[0182] Optionally, the intelligent control device 20 is also used to: obtain quality inspection information of a second product to be processed with normal packaging in the target workshop; and control the transmission of a third product to be processed whose quality inspection information indicates qualified quality among the second product to be processed to the shipping port.

[0183] Exemplarily, for products with normal packaging, when the intelligent control device 20 obtains the quality inspection information uploaded by the inspection center, it analyzes and processes the quality inspection information. If the quality inspection information indicates that the product quality of the second product to be processed is qualified, it is determined that the product can be shipped, and then a first shipping and transportation instruction is generated to control the product transportation equipment to transport the second product to be processed to the shipping port, and the first shipping and transportation instruction is sent to the product transportation equipment, so that the product transportation equipment transports the second product to be processed to the shipping port based on the first shipping and transportation instruction.

[0184] Optionally, the intelligent control device 20 is further used to: generate a second shipping instruction for controlling the product transport device to transport the second product to be processed to the warehouse to be shipped, and issue the second shipping instruction to the product transport device, so that the product transport device transports the second product to be processed to the warehouse to be shipped based on the second shipping instruction. The aforementioned shipping port is a shipping port in the warehouse to be shipped.

[0185] Optionally, the first shipping and transportation instructions and the second shipping and transportation instructions may include the product number of the second product to be processed, and products with adjacent product numbers may be placed in adjacent positions.

[0186] Alternatively, if Figure 4 As shown, the intelligent control device 20 includes a link module, and the link module includes a detection system link terminal, a warehouse management system link terminal, and an AGV management system link terminal. The detection system link terminal is used to determine whether the second to-be-processed product with normal packaging is qualified based on quality detection information, and the warehouse management system link terminal is used to store the product corresponding to the product number to a designated location based on the product number, wherein the designated location is an adjacent storage location of the product with a product number adjacent to the product number; the AGV management system link terminal is used to generate a transportation control instruction for controlling the product transportation equipment, wherein the transportation control instruction includes a transportation control instruction for transporting products with normal packaging and qualified quality to the shipping port, a transportation control instruction for transporting products with abnormal packaging to the to-be-processed warehouse, a transportation control instruction for transporting products with normal packaging to the designated location of the to-be-shipped warehouse, and a transportation control instruction for transporting the packaged products to the detection location of the packaging detection equipment.

[0187] Optionally, the system further includes a real-time detector, and the intelligent control device 20 further includes a second data storage unit; the real-time detector is used to collect the first operating parameter of the target device before parameter adjustment, the first product index of the product obtained by the target device based on the first operating parameter when the target device processes the material, the second operating parameter of the target device after parameter adjustment, and the second product index of the product obtained by the target device based on the second operating parameter when the target device processes the material, and send the first operating parameter, the first product index, the second operating parameter, and the second product index to the intelligent control device 20; the intelligent control device 20 is also used to obtain the first operating parameter of the target device before parameter adjustment and the first product index of the product obtained by the target device based on the first operating parameter when the target device processes the material; obtain the second operating parameter of the target device after parameter adjustment and the second product index of the product obtained by the target device based on the second operating parameter when the target device processes the material; store the first operating parameter, the first product index, the second operating parameter, and the second product index in the second data storage unit. The second data storage unit is used to store the device operating parameters and product indexes before and after parameter adjustment for later data analysis.

[0188] Optionally, the intelligent control device 20 also includes a third data storage unit, which is used to store log information of the target workshop, including operating parameters of each device, corresponding processed materials, obtained products, product indicators, production environment data when generating products, etc.

[0189] The data stored in the first data storage unit and the data stored in the second data storage unit are included in the aforementioned log information.

[0190] Optionally, the intelligent control device 20 is further used to obtain employee entry information, the entry information including identity information and entry time; implement the employee's clock-in function based on the entry information, and / or determine whether the employee can enter the target workshop based on the entry information. The identity information may include at least one of the following: fingerprint information, facial information, and employee number.

[0191] Alternatively, if Figure 5As shown, the system also includes a personnel management module. Specifically, the personnel management module includes a time clock and a face recognition access control. Specifically, the time clock is used to collect the identity information of the employee and send the identity information to the intelligent control device 20. When the intelligent control device 20 is used to implement the employee's clock-in function based on the entry information, it is specifically used to obtain the employee's identity information and the current time, and implement the employee's clock-in function based on the identity information and the current time, wherein the identity information and the current time are the entry information; the face recognition access control is used to collect the employee's facial information and send the facial information to the intelligent control device 20. When the intelligent control device 20 is used to determine whether the employee can enter the target workshop based on the entry information, it is specifically used to obtain the employee's facial information, and determine whether the employee can enter the target workshop based on the facial information, wherein the facial information is included in the entry information.

[0192] Optionally, the intelligent control device 20 is also used to: acquire and store video information of the target workshop in real time, so that relevant personnel can manage the personnel and equipment of the target workshop, thereby realizing responsibility management, better enhancing the sense of responsibility of employees, and further ensuring the safety of the target workshop.

[0193] Alternatively, if Figure 4 The personnel management module also includes a panoramic camera; the panoramic camera is used to collect video information of the target workshop in real time and send the video information to the intelligent control device 20, and the intelligent control device 20 is used to obtain and store the video information of the target workshop in real time.

[0194] In summary, the personnel management module can automatically manage and monitor employees, and automatically determine the relevant personnel who can enter the target workshop, ensuring the safety of the target workshop. In addition, a panoramic camera is set up to collect video information of the workshop in real time, realizing responsibility management, better improving the sense of responsibility of employees, and further ensuring the safety of the target workshop.

[0195] Optionally, the intelligent control device 20 is also used to: acquire and store in real time the production standards, abnormality information and abnormality resolution information of the target workshop, acquire detection information, acquire target information based on the retrieval information, and display the target information so that relevant personnel can obtain the required abnormality information, abnormality resolution information and workshop production standards by performing abnormality retrieval or production standard retrieval.

[0196] Optionally, the intelligent control device 20 further includes an AI server and an AI service unit. The AI ​​server is used to obtain and store the production standards, abnormal information, and abnormal solution information of the target workshop in real time. The AI ​​service unit is used to obtain detection information. The AI ​​server is used to obtain target information based on the search information. The AI ​​service unit is also used to display the target information. The AI ​​server can be used to retrieve the production standards, abnormal problems, and solutions to the abnormal problems of each process in the target workshop. The AI ​​service unit is the terminal of the AI ​​server.

[0197] Figure 6 A schematic diagram of a workshop abnormality handling device provided as an exemplary embodiment of the present application; the device is applicable to intelligent control equipment, wherein the device includes:

[0198] An acquisition unit 61 is used to acquire abnormal information in a target workshop, wherein the abnormal information includes: abnormal operation parameter information of a target device and / or abnormal packaging information of a product;

[0199] A generating unit 62, configured to generate corresponding exception resolution information based on the exception information;

[0200] The solving unit 63 is used to send the exception solving information to the exception handling device, so that the exception handling device solves the exception occurring in the target workshop based on the exception solving information.

[0201] Optionally, when the abnormal information also includes environmental abnormal information and / or external appearance abnormal information of the target device, the device is also used to: generate abnormal prompt information corresponding to the environmental abnormal information and / or the external appearance abnormal information; send the abnormal prompt information to the prompt device, so that the prompt device displays the abnormal prompt information for relevant personnel to view.

[0202] Optionally, the device is also used to: if the abnormal information in the target workshop is received from the first terminal and the corresponding abnormal resolution information is not successfully generated based on the abnormal information, the abnormal information is sent to the second terminal; wherein the management level corresponding to the first terminal is lower than the management level corresponding to the second terminal.

[0203] Optionally, when the exception information includes abnormal operating parameter information of the target device, the device, when used to generate corresponding exception resolution information based on the exception information, is specifically used to: obtain product indicators of the product being processed by the target device; obtain a preset target parameter adjustment model; based on the target parameter adjustment model, analyze the abnormal operating parameter information and the product indicators to obtain target parameters corresponding to the abnormal operating parameter information; generate corresponding exception resolution information based on the target parameters, wherein the exception handling device is the target device.

[0204] Optionally, the device is also used to: obtain multiple historical operating parameters when the target device processes multiple historical products; for each historical operating parameter among the multiple historical operating parameters, obtain historical product indicators of the corresponding historical products obtained by the target device processing materials with the historical operating parameters, and obtain multiple historical product indicators, when the target device processes materials with the historical operating parameters to obtain the historical products whose product indicators are the historical product indicators, the historical operating parameters are not abnormal; train an initial parameter adjustment model based on the multiple historical operating parameters and the multiple historical product indicators to obtain the target parameter adjustment model.

[0205] Optionally, when the exception information includes packaging exception information of a product, the device, when used to generate corresponding exception resolution information based on the exception information, is specifically used to: obtain the product information to be processed corresponding to the packaging exception information; generate a transportation control instruction for controlling a product transportation equipment to transport the first product to be processed corresponding to the product information to be processed to a warehouse to be processed; generate corresponding exception resolution information based on the transportation control instruction; wherein the exception handling equipment includes the product transportation equipment.

[0206] Optionally, when the device is used to generate a transportation control instruction for controlling a product transportation equipment to transport a first product to be processed corresponding to the product information to be processed to a warehouse to be processed, the device is specifically used to: obtain map information of the target workshop; obtain first location information of the first product to be processed corresponding to the product information to be processed; obtain second location information of the warehouse to be processed; plan a transportation route for transporting the first product to be processed to the warehouse to be processed based on the map information, the first location information, and the second location information; and generate a transportation control instruction for controlling the product transportation equipment to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed based on the transportation route.

[0207] Optionally, the device is also used to: obtain quality inspection information of a second product to be processed that is normally packaged in the target workshop; and control the transmission of a third product to be processed whose quality inspection information indicates is of qualified quality among the second product to be processed to a shipping port.

[0208] Optionally, when the abnormal information also includes environmental abnormal information and / or external appearance abnormal information of the target device, the device is also used to: generate abnormal prompt information corresponding to the environmental abnormal information and / or external appearance abnormal information; send the abnormal prompt information to the prompt device, so that the prompt device displays the abnormal prompt information for relevant personnel to view.

[0209] Optionally, the device is also used to: if the abnormal information in the target workshop is received from the first terminal and the corresponding abnormal resolution information is not successfully generated based on the abnormal information, the abnormal information is sent to the second terminal; wherein the management level corresponding to the first terminal is lower than the management level corresponding to the second terminal.

[0210] Optionally, when the exception information includes abnormal operating parameter information of the target device, the device is used to generate corresponding exception resolution information based on the exception information, specifically for: obtaining product indicators of the product being processed by the target device; obtaining a preset target parameter adjustment model; based on the target parameter adjustment model, analyzing the abnormal operating parameter information and the product indicators to obtain target parameters corresponding to the abnormal operating parameter information; generating corresponding exception resolution information based on the target parameters, wherein the exception handling device is the target device.

[0211] Optionally, the device is also used to: for each historical operating parameter among multiple historical operating parameters of the target device, obtain historical product indicators of historical products processed by the target device when the operating parameter is the historical operating parameter, and obtain multiple historical product indicators; train an initial parameter adjustment model based on the multiple historical operating parameters and the multiple historical product indicators to obtain the target parameter adjustment model.

[0212] Optionally, when the exception information includes packaging exception information of a product, the device is used to generate corresponding exception resolution information based on the exception information, specifically for: obtaining the product information to be processed corresponding to the packaging exception information; generating a transportation control instruction for controlling a product transportation equipment to transport the first product to be processed corresponding to the product information to be processed to a warehouse to be processed; generating corresponding exception resolution information based on the transportation control instruction; wherein the exception handling equipment includes the product transportation equipment.

[0213] Optionally, when the device is used to generate a transportation control instruction for controlling a product transportation equipment to transport a first product to be processed corresponding to the product information to be processed to a warehouse to be processed, the device is specifically used to: obtain map information of the target workshop; obtain first location information of the first product to be processed corresponding to the product information to be processed; obtain second location information of the warehouse to be processed; plan a transportation route for transporting the first product to be processed to the warehouse to be processed based on the map information, the first location information, and the second location information; and generate a transportation control instruction for controlling the product transportation equipment to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed based on the transportation route.

[0214] Optionally, the device is also used to: obtain quality inspection information of a second product to be processed that is normally packaged in a target workshop; and control the transmission of a third product to be processed whose quality inspection information indicates is of qualified quality among the second product to be processed to a shipping port.

[0215] It should be understood that the device embodiment and the method embodiment may correspond to each other, and similar descriptions may refer to the method embodiment. To avoid repetition, no further description is given here. Specifically, the device may perform the above method embodiment, and the above and other operations and / or functions of each module in the device are the corresponding processes in each method in the above method embodiment, respectively, and no further description is given here for the sake of brevity.

[0216] The above describes the device of the embodiment of the present application from the perspective of the functional module in conjunction with the accompanying drawings. It should be understood that the functional module can be implemented in hardware form, can be implemented by instructions in software form, and can also be implemented by a combination of hardware and software modules. Specifically, the steps of the method embodiment in the embodiment of the present application can be completed by the hardware integrated logic circuit and / or software form instructions in the processor, and the steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or a combination of hardware and software modules in the decoding processor to perform. Optionally, the software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory, and completes the steps in the above method embodiment in conjunction with its hardware.

[0217] Figure 7 is a schematic block diagram of an electronic device provided in an embodiment of the present application, and the electronic device may include:

[0218] The memory 301 and the processor 302, the memory 301 is used to store the computer program and transmit the program code to the processor 302. In other words, the processor 302 can call and run the computer program from the memory 301 to implement the method in the embodiment of the present application.

[0219] For example, the processor 302 may be configured to execute the above method embodiments according to instructions in the computer program.

[0220] In some embodiments of the present application, the processor 302 may include but is not limited to:

[0221] General-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc.

[0222] In some embodiments of the present application, the memory 301 includes but is not limited to:

[0223] Volatile memory and / or non-volatile memory. Among them, the non-volatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM) or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus random access memory (DR RAM).

[0224] In some embodiments of the present application, the computer program may be divided into one or more modules, which are stored in the memory 301 and executed by the processor 302 to complete the method provided by the present application. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, and the instruction segments are used to describe the execution process of the computer program in the electronic device.

[0225] like Figure 7 As shown, the electronic device may also include:

[0226] The transceiver 303 may be connected to the processor 302 or the memory 301 .

[0227] The processor 302 may control the transceiver 303 to communicate with other devices, specifically, to send information or data to other devices, or to receive information or data sent by other devices. The transceiver 303 may include a transmitter and a receiver. The transceiver 303 may further include an antenna, and the number of antennas may be one or more.

[0228] It should be understood that the various components in the electronic device are connected via a bus system, wherein the bus system includes not only a data bus but also a power bus, a control bus and a status signal bus.

[0229] The present application also provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a computer, the computer can perform the method of the above method embodiment. In other words, the present application embodiment also provides a computer program product containing instructions, and when the instructions are executed by a computer, the computer can perform the method of the above method embodiment.

[0230] When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integration. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a digital video disc (digital video disc, DVD)), or a semiconductor medium (e.g., a solid state drive (solid state disk, SSD)), etc.

[0231] Those of ordinary skill in the art will appreciate that the modules 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 this application.

[0232] In the several embodiments provided in the present application, it should be understood that the disclosed systems, 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 module is only a logical function division. There may be other division methods in actual implementation, such as multiple modules 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 modules, which can be electrical, mechanical or other forms.

[0233] The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. For example, each functional module in each embodiment of the present application may be integrated into a processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0234] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A workshop abnormality handling method, characterized in that: Suitable for intelligent control equipment, including: Acquiring abnormal information in a target workshop, wherein the abnormal information includes: abnormal information on operating parameters of target equipment and / or abnormal information on packaging of products; Generate corresponding exception resolution information based on the exception information; The exception resolution information is sent to an exception handling device, so that the exception handling device resolves the exception occurring in the target workshop based on the exception resolution information.

2. The method according to claim 1, characterized in that When the abnormal information further includes environmental abnormal information and / or external appearance abnormal information of the target device, the method further includes: Generate abnormal prompt information corresponding to the environmental abnormal information and / or the external appearance abnormal information; The abnormal prompt information is sent to the prompt device, so that the prompt device displays the abnormal prompt information for relevant personnel to view.

3. The method according to claim 1, characterized in that The method further comprises: If the abnormality information in the target workshop is received from the first terminal and the corresponding abnormality resolution information is not successfully generated based on the abnormality information, sending the abnormality information to the second terminal; The management level corresponding to the first terminal is lower than the management level corresponding to the second terminal.

4. The method according to claim 1, characterized in that: When the abnormal information includes abnormal operation parameter information of the target device, generating corresponding abnormal solution information based on the abnormal information includes: Obtain product indicators of the product being processed by the target device; Obtaining a preset target parameter adjustment model; Based on the target parameter adjustment model, the abnormal operation parameter information and the product index are analyzed to obtain the target parameter corresponding to the abnormal operation parameter information; Corresponding exception resolution information is generated based on the target parameter, wherein the exception handling device is the target device.

5. The method according to claim 4, characterized in that The method further comprises: Acquire a plurality of historical operating parameters when the target device processes a plurality of historical products; For each of the multiple historical operating parameters, a historical product index of a corresponding historical product obtained by processing a material with the historical operating parameter by the target device is obtained, and multiple historical product indexes are obtained. When the target device processes a material with the historical operating parameter to obtain the historical product whose product index is the historical product index, no abnormality occurs in the historical operating parameter; The initial parameter adjustment model is trained based on the multiple historical operating parameters and the multiple historical product indicators to obtain the target parameter adjustment model.

6. The method according to claim 1, characterized in that When the abnormal information includes abnormal packaging information of the product, generating corresponding abnormal solution information based on the abnormal information includes: Obtaining product information to be processed corresponding to the packaging abnormality information; Generate a transportation control instruction for controlling a product transportation device to transport a first product to be processed corresponding to the product information to be processed to a warehouse to be processed; generating corresponding exception resolution information based on the transportation control instruction; Wherein, the abnormality handling equipment includes the product transportation equipment.

7. The method according to claim 6, characterized in that The generating of the transport control instruction for controlling the product transport equipment to transport the first product to be processed corresponding to the product information to be processed to the warehouse to be processed includes: Obtaining map information of the target workshop; Acquire first position information of a first product to be processed corresponding to the product information to be processed; Obtain second location information of the warehouse to be processed; Planning a transportation route for transporting the first product to be processed to a warehouse to be processed based on the map information, the first location information, and the second location information; A transportation control instruction is generated based on the transportation route to control the product transportation equipment to transport the first product to be processed corresponding to the product to be processed information to the warehouse to be processed.

8. The method according to claim 1, characterized in that The method further comprises: Acquire quality inspection information of the second product to be processed that is normally packaged in the target workshop; Controlling the transmission of the third product to be processed whose quality is indicated as qualified by the quality inspection information among the second product to be processed to the shipping port.

9. A workshop abnormality handling system, characterized in that: include: Intelligent control equipment, detection equipment, and abnormality handling equipment; among which: The detection device is used to detect the equipment, products, and environment in the target workshop and obtain a first detection result; based on the first detection result, abnormal information in the target workshop is determined and sent to the intelligent control device, wherein the abnormal information includes: abnormal operation parameter information of the target equipment and / or abnormal packaging information of the product; The intelligent control device is used to generate corresponding exception resolution information based on the exception information; send the exception resolution information to the exception handling device, so that the exception handling device resolves the exception occurring in the target workshop based on the exception resolution information.

10. The system according to claim 9, characterized in that The system also includes a prompting device, and the detection device includes an inspection module; The inspection module is used to detect the environment in the target workshop and the external appearance of each device, and obtain a second detection result, the abnormal information also includes the environmental abnormality information and / or the external appearance abnormality information of the target device in the second detection result, and the second detection result is included in the first detection result; The intelligent control device is further used to generate abnormal prompt information corresponding to the environmental abnormal information and / or the external appearance abnormal information; The abnormal prompt information is sent to the prompt device, so that the prompt device displays the abnormal prompt information for relevant personnel to view.

11. A workshop abnormality handling device, characterized in that: Suitable for intelligent control equipment, including: An acquisition unit, used to acquire abnormal information in a target workshop, wherein the abnormal information includes: abnormal operation parameter information of the target equipment and / or abnormal packaging information of the product; A generating unit, configured to generate corresponding exception resolution information based on the exception information; The solution unit is used to send the exception solution information to the exception handling device, so that the exception handling device solves the exception occurring in the target workshop based on the exception solution information.

12. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; The processor is configured to perform the method of any one of claims 1 to 8 by executing the executable instructions.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.

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