Workshop planning and inspection supervision method, device and equipment and storage medium

Abstract

The application discloses a workshop planning and inspection supervision method and device, equipment and a storage medium. The method comprises the following steps: acquiring a first parameter and a second parameter of a target workshop to be planned, wherein the first parameter is used to represent a parameter related to the production capacity of the target workshop to be planned, and the second parameter is used to represent a parameter related to the demand of the target workshop to be planned; according to the first parameter and the second parameter, a first planning suggestion corresponding to the first parameter and a second planning suggestion corresponding to the second parameter are determined through a pre-constructed planning model; and the first planning suggestion and the second planning suggestion are verified based on pre-set verification parameters, and if the verification is passed, the first planning suggestion and the second planning suggestion after the verification are output in a visual manner. According to the technical scheme, the engineering workshop is planned and laid out according to various related parameters, and the rationality of the layout setting in the workshop is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of computer, in particular to a workshop planning and inspection supervision method and device, equipment and storage medium. BACKGROUND

[0002] In the current complete industry, the production area of most enterprises is not scientifically planned, mainly estimated by experienced personnel. This method relies too much on experienced personnel and requires experienced personnel to work in the enterprise for a long time so as to have enough experience and be familiar with the production site. The estimating personnel need to have enough judgment on the volatility and trend of the business. However, at present, the personnel flow is frequent, and it is difficult to retain experienced personnel. Moreover, the subjective factors are too large for manpower estimation, and the calculation accuracy is not high. SUMMARY

[0003] The main purpose of the present application is to provide a workshop planning and inspection supervision method, device and storage medium to solve the above problems.

[0004] In order to achieve the above purpose, according to one aspect of the present application, a workshop planning and inspection supervision method is provided, comprising:

[0005] obtaining a first parameter and a second parameter of a target workshop to be planned, wherein the first parameter is used to represent a parameter related to the production capacity of the target workshop to be planned, and the second parameter is used to represent a parameter related to the demand of the target workshop to be planned;

[0006] According to the first parameter and the second parameter, a first planning suggestion corresponding to the first parameter and a second planning suggestion corresponding to the second parameter are determined through a pre-constructed planning model;

[0007] The first planning suggestion and the second planning suggestion are verified based on a pre-set verification parameter. If the verification is passed, the first planning suggestion and the second planning suggestion after verification are output in a visual way.

[0008] In an embodiment, after the first planning suggestion and the second planning suggestion after verification are output in a visual way, the method further comprises:

[0009] obtaining image information of the target workshop to be planned in the field, and determining whether the first planning suggestion and the second planning suggestion match based on the image information,

[0010] If not, the corresponding prompt information is displayed in the visual interface, and the prompt information is linked to the production management system.

[0011] In an embodiment, the method of determining whether the first planning proposal and the second planning proposal match the running situation of the target workshop comprises:

[0012] acquiring at least one of the number of workstations, the logistics channel, and the warehouse area in the image information based on a pre-trained target recognition model;

[0013] determining a first difference between the number of workstations in the image information and a standard number of workstations, a second difference between the logistics channel in the image information and a standard logistics channel, and a third difference between the warehouse area in the image information and a standard warehouse area, respectively;

[0014] respectively determining whether the first difference, the second difference, and the third difference are within a preset difference range,

[0015] if any of the first difference, the second difference, and the third difference exceeds the preset difference range, it is determined that the running situation of the target workshop to be planned does not match the first planning proposal and the second planning proposal.

[0016] In an embodiment, the first planning proposal and the second planning proposal at least include a main planning scheme and multiple alternative planning schemes, and in the case where it is determined that the running situation of the target workshop to be planned does not match the first planning proposal and the second planning proposal, the method further comprises:

[0017] in the case where the main planning scheme does not match the running situation of the target workshop to be planned, outputting multiple alternative planning schemes.

[0018] In an embodiment, the method further comprises:

[0019] acquiring a first parameter and a second parameter of the target workshop to be planned in real time, in the case where the first parameter and the second parameter change, outputting a changed first planning proposal and a changed second planning proposal corresponding to the changed first parameter and the changed second parameter in real time, and outputting the changed first planning proposal and the changed second planning proposal in a visual manner.

[0020] In an embodiment, the first parameter at least includes at least one of product process-related information, current layout of the workshop, and production capacity of personnel and equipment;

[0021] the second parameter at least includes at least one of land demand, resource demand, and product capacity planning demand;

[0022] the first planning proposal at least includes layout planning of the target workshop to be planned;

[0023] The second planning proposal comprises at least one of logistics planning, storage planning and project output delivery of the target workshop to be planned.

[0024] In an embodiment, the visualization mode comprises at least one of a proposal, a video and a three-dimensional and / or two-dimensional image.

[0025] In an embodiment, a monitoring image frame in the production workshop is acquired;

[0026] According to the monitoring image frame, it is determined whether the employee is in compliance and / or whether the workshop layout is reasonable;

[0027] If not, corresponding alarm information is sent.

[0028] In an embodiment, according to the monitoring image frame, it is determined whether the workshop layout is reasonable, comprising:

[0029] A workbench in the image frame is identified based on a pre-trained target recognition detection model;

[0030] The number of the workbench is counted;

[0031] A difference between the number of the workbench and the number of the standard workstations is calculated;

[0032] If the difference is less than a predetermined difference range, it is determined that the workshop layout is reasonable.

[0033] In an embodiment, according to the monitoring image frame, it is determined whether the employee is in compliance, comprising:

[0034] An operator in the image frame is identified based on a pre-trained target recognition detection model;

[0035] It is determined whether the operator wears a safety helmet;

[0036] If not, alarm information is sent to the workbench where the operator is located.

[0037] In an embodiment, for any group of workbenches;

[0038] Coordinates of a center point of a marking box of the operator and a center point of a marking box of the workbench in the workbench are acquired;

[0039] A difference between a horizontal coordinate of the center point of the marking box of the operator and a horizontal coordinate of the center point of the marking box of the workbench is calculated;

[0040] It is determined whether the difference is greater than a predetermined difference distance;

[0041] If the difference distance is greater than a predetermined difference distance, it is determined that the operator is in a non-working state.

[0042] In one embodiment, in a working day, the time period in which the operator is in a non-working state is statistically calculated;

[0043] It is determined whether the time period is greater than a predetermined time threshold;

[0044] If so, the performance of the operator is penalized.

[0045] To achieve the above-mentioned purpose, the second aspect provides a workshop planning and inspection supervision device, comprising:

[0046] A first unit is configured to obtain a first parameter and a second parameter of a target workshop to be planned, wherein the first parameter is used to represent a parameter related to the production capacity of the target workshop to be planned, and the second parameter is used to represent a parameter related to the demand of the target workshop to be planned;

[0047] A second unit is configured to determine a first planning suggestion corresponding to the first parameter and a second planning suggestion corresponding to the second parameter by a pre-constructed planning model according to the first parameter and the second parameter;

[0048] A third unit is configured to verify the first planning suggestion and the second planning suggestion based on a pre-set verification parameter, and if the verification is passed, the first planning suggestion and the second planning suggestion after the verification are output in a visual manner.

[0049] To achieve the above-mentioned purpose, according to the third aspect of the present application, an electronic device is provided; comprising at least one processor and at least one memory; the memory is used to store one or more program instructions; the processor is used to run one or more program instructions to execute the steps of any of the above.

[0050] According to the fourth aspect of the present application, a computer readable storage medium is provided, and the computer readable storage medium contains one or more program instructions, and the one or more program instructions are used to execute the steps of any of the above.

[0051] In the embodiments of the present application, the first parameter and the second parameter of the to-be-planned target workshop are acquired, and a first planning suggestion corresponding to the first parameter and a second planning suggestion corresponding to the second parameter are respectively determined according to the first parameter and the second parameter through a pre-constructed planning model. The first planning suggestion and the second planning suggestion are verified based on pre-set verification parameters, and then the first planning suggestion and the second planning suggestion that pass the verification are output in a visual manner. The rationality of the layout setting in the workshop is improved. BRIEF DESCRIPTION OF DRAWINGS

[0052] The accompanying drawings, which form a part of this application, are intended to provide further understanding of the application and are incorporated herein for a purpose of explanations and are in no way limiting to the present application. The schematic embodiment drawings of the present application and the descriptions thereof are used to explain the present application, and do not constitute an improper limitation to the present application. In the drawings:

[0053] Figure 1 is a flow chart of a workshop planning and inspection supervision method according to an embodiment of the present application;

[0054] Figure 2 is a schematic diagram of a worker and workbench position relationship according to an embodiment of the present application;

[0055] Figure 3 is a structural schematic diagram of a workshop planning and inspection supervision device according to an embodiment of the present application;

[0056] Figure 4 is a structural schematic diagram of a workshop planning and inspection supervision device according to an embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the personnel in the technical field better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by the personnel in the field without creative labor should belong to the protection scope of the present application.

[0058] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0059] Furthermore, in addition to indicating direction or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in certain situations to indicate a dependency or connection. Those skilled in the art can understand the specific meaning of these terms in this invention based on the specific circumstances.

[0060] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0061] For manufacturing companies, machines are assembled in sets within the workshop. For example, in a motor factory workshop, there are multiple assembly stations, each where motors are assembled. The generated area refers to the total area of ​​all these assembly stations.

[0062] Production area is affected by the orders from manufacturers. If the order quantity is large, the production area should be expanded; if the order quantity is small, the production area should be reduced.

[0063] like Figure 1 As shown, the method includes the following steps S102 to S106:

[0064] Step S102: Obtain the first and second parameters of the target workshop to be planned;

[0065] Wherein, the first parameter is used to characterize parameters related to the production capacity of the target workshop to be planned, and the second parameter is used to characterize parameters related to the demand of the target workshop to be planned;

[0066] Specifically, the first parameter includes at least one of the following: product process-related data, current workshop layout, and personnel, equipment, and production capacity.

[0067] The second parameter includes at least one of the following: land demand, resource demand, and product capacity planning demand.

[0068] Referring to Table 1:

[0069]

[0070]

[0071] Table 1, the existing production material related parameters and demand parameters can affect the planning of the factory workshop.

[0072] Product process related information includes: process flow chart of each product family, operation sequence and process processing time;

[0073] Current layout includes: workshop layout, in-process quantity and distribution point, in-process storage mode and quantity;

[0074] Personnel / equipment generating capacity includes: equipment list / size / weight / water and electricity demand; process / equipment processing capacity; personnel arrangement / human-machine configuration;

[0075] Land demand information includes: planning land red line map & surveying map; government requirements for industrial park construction;

[0076] Resource demand includes: equipment, production line, manpower demand estimation; site detailed demand estimation;

[0077] Energy demand assessment includes: space structure demand estimation; auxiliary facility demand estimation;

[0078] Product & capacity planning demand includes: representative product ratio, annual capacity, peak month proportion; typical product BOM table.

[0079] Step S104, according to the first parameter and the second parameter, through the pre-constructed planning model, respectively determine the first planning suggestion corresponding to the first parameter, and the second planning suggestion corresponding to the second parameter.

[0080] Specifically, the planning model can be implemented by a pre-trained neural network model.

[0081] The first planning suggestion at least includes the layout planning of the target workshop to be planned;

[0082] The second planning suggestion at least includes at least one of logistics planning, storage planning and project output delivery of the target workshop to be planned.

[0083] Step S106, based on the pre-set verification parameter, the first planning suggestion and the second planning suggestion are verified, if the verification is passed, the first planning suggestion and the second planning suggestion after the verification are output in a visual way.

[0084] If the verification fails, the first planning proposal and the second planning proposal are adjusted.

[0085] The visualization mode at least includes at least one of a scheme book, a video, and a three-dimensional and / or two-dimensional image.

[0086] Specifically, the verification parameter includes one or more of the following: functional area, human flow on the visiting route, or logistics bottleneck.

[0087] The functional area mainly refers to the production area, which refers to the area occupied by the production of products. It does not include the area of the channel, nor does it include the area of the product material storage.

[0088] For example, if the workshop is an assembly workshop of a motor factory, the production area refers to the sum of the areas of various workstations for assembling motors.

[0089] For example, the total area of a production workshop is 100 square meters; after planning:

[0090] Scheme one: functional area 70 square meters; channel area 20 square meters; warehouse area 10 square meters;

[0091] Scheme two: functional area 60 square meters; channel area 30 square meters; warehouse area 10 square meters;

[0092] Scheme three: functional area 50 square meters; channel area 30 square meters; warehouse area 20 square meters;

[0093] Scheme four: functional area 50 square meters; channel area 20 square meters; warehouse area 30 square meters;

[0094] If the minimum threshold of the functional area is 65 square meters; then determine that schemes two, three, and four fail to pass the verification.

[0095] In the planning scheme, if the human flow on the visiting route is greater than the human flow threshold on the visiting route, the planning scheme fails to pass the verification. Or, if the logistics is greater than the logistics threshold on the route, the planning scheme fails to pass the verification.

[0096] Each scheme can also be simulated to simulate the human flow and logistics on each channel.

[0097] For example, the channel area of scheme one is 20 square meters; if the human flow and logistics on the channel of this scheme are relatively large and crowded, scheme one fails to pass the verification; replace scheme two and continue to simulate.

[0098] Specifically, in order to increase the visual display, the planning proposal can be output in a visual manner; a dynamic video of the planning scheme can be displayed on a display screen; the video shows the planned production workshop from the perspective of a visitor. Or a three-dimensional or two-dimensional static image of the planning scheme of the production workshop is displayed on the display screen.

[0099] The technical scheme of the present application can automatically obtain the workshop layout planning, logistics planning and storage planning through the planning model, thereby improving the rationality of the factory planning layout.

[0100] In an embodiment, the first planning proposal and the second planning proposal at least include a main planning scheme and multiple alternative planning schemes, and in the case that the first planning proposal and the second planning proposal are determined to be mismatched with the on-site operation of the target workshop to be planned, the multiple alternative planning schemes are output in the case that the main planning scheme is mismatched with the on-site operation of the target workshop to be planned.

[0101] For example, the first planning proposal is: workshop layout 1; in the workshop layout 1, the number of workstations is 10, the number of logistics channels is 2, and the storage area is 15 square meters; wherein, the area of a single workstation is 4 square meters.

[0102] The second planning proposal requires that the area of the warehouse is at least 20 square meters.

[0103] It can be seen that the first planning proposal and the second planning proposal are mismatched;

[0104] The alternative scheme of the first planning proposal is:

[0105] Workshop layout 2; in the workshop layout 2, the number of workstations is 8, the number of logistics channels is 2, and the storage area is 23 square meters; wherein, the area of a single workstation is 4 square meters.

[0106] Workshop layout 3; in the workshop layout 3, the number of workstations is 7, the number of logistics channels is 2, and the storage area is 27 square meters; wherein, the area of a single workstation is 4 square meters.

[0107] In an embodiment, after the first planning proposal and the second planning proposal that pass the verification are output in a visual manner, the image information of the on-site operation of the target workshop to be planned is acquired, it is determined whether the first planning proposal and the second planning proposal are matched based on the image information, if not, the corresponding prompt information is displayed in the visual interface, and the prompt information is linked to the production management system.

[0108] Exemplarily, the visual interface can be a display large screen. If the first planning proposal and the second planning proposal match, a check mark can be displayed on the display large screen. If the first planning proposal and the second planning proposal do not match, a cross mark can be displayed on the display large screen. The specific position of the mismatch in the workshop can also be displayed. For example, the number of logistics aisles is too small, the warehouse area is too small, etc. The aisle or work station can be displayed in a highlighted form, which plays a role of reminding the user.

[0109] After the prompt information is linked to the production management system, the production management system can regenerate the planning proposal.

[0110] In an embodiment, when determining whether the first planning proposal and the second planning proposal match based on the image information, at least one of the number of work stations, the logistics channel, and the warehouse area in the image information is obtained based on a pre-trained target recognition model.

[0111] A first difference value between the number of work stations in the image information and a standard number of work stations, a second difference value between the logistics channel in the image information and a standard logistics channel, and a third difference value between the warehouse area in the image information and a standard warehouse area are respectively determined.

[0112] It is respectively determined whether the first difference value, the second difference value, and the third difference value are within a preset difference value range. If any one of the first difference value, the second difference value, and the third difference value exceeds the preset difference value range, it is determined that the running situation of the target workshop to be planned does not match the first planning proposal and the second planning proposal.

[0113] Specifically, in an embodiment, the workshop layout planning includes a standard number of work stations.

[0114] When determining whether the first planning proposal and the second planning proposal match based on the image information, a workbench in the image frame is identified based on a pre-trained target recognition detection model.

[0115] The target detection recognition model algorithm is an existing algorithm, and the target detection recognition model algorithm can identify the target in the image. The target includes the workbench and the person.

[0116] The number of the workbenches is counted.

[0117] A difference value between the number of the workbenches and the standard number of work stations is calculated. If the difference value is less than a predetermined difference value range, it is determined that the workshop layout is reasonable.

[0118] For example, if the target detection algorithm detects that the number of workstations in the image frame is 20; the standard number of workstations calculated by the above method is 22; the difference is 2; and the difference is less than the predetermined difference range threshold of 5; it is determined that the layout of the workshop is reasonable. The difference range threshold can be flexibly set, and the present application is not limited.

[0119] In an embodiment, the workshop layout planning includes: a standard number of logistics channels;

[0120] When determining whether the first planning suggestion and the second planning suggestion match based on the image information, the logistics channels in the image frame are identified based on a pre-trained target recognition detection model; the number of logistics channels is counted; the difference between the number of logistics channels and the standard number of logistics channels is calculated; and if the difference is greater than a predetermined difference range, it is determined that the workshop layout is unreasonable.

[0121] In an embodiment, the workshop layout planning includes: a standard warehouse area;

[0122] When determining whether the first planning suggestion and the second planning suggestion match based on the image information, the warehouse in the image frame is identified based on a pre-trained target recognition detection model; the area of the warehouse is calculated; the difference between the area of the warehouse and the standard warehouse area is calculated; and if the difference is greater than a predetermined difference range, it is determined that the workshop layout is unreasonable.

[0123] In an embodiment, the first parameter and the second parameter of the target workshop to be planned are obtained in real time, and in the case that the first parameter and the second parameter change, the first planning suggestion and the second planning suggestion corresponding to the changed first parameter and the second parameter are output in real time, and the changed first planning suggestion and the second planning suggestion are output in a visual manner.

[0124] In an embodiment, when training the planning model, a model training data set is constructed, and the data in the model training data set is labeled and data feature vectorized; based on the training data set, each unit of the production area planning model to be trained is trained, so that the loss function corresponding to each unit meets the preset convergence condition.

[0125] In an embodiment, the planning model is a neural network model.

[0126] Preferably, a convolutional neural network (CNN) can be used. It is a kind of feedforward neural network containing convolution calculation and having a deep structure, and is one of the representative algorithms of deep learning. It is composed of several convolution kernels, pooling layers and end full connection layers.

[0127] Specifically, historical related parameters can be acquired, and the historical related parameters are taken as samples to train the neural network model. The samples include two parts, one part is a standard sample, and the other part is a test sample. During training, the weights of the neural network are adjusted based on the standard sample, and the training of the neural network is stopped when the loss value of the loss function corresponding to each unit of the neural network is less than a predetermined loss value threshold.

[0128] The loss function can be a softmax function, a cross-entropy function, a loss function of SVM, etc.

[0129] The loss value threshold can be flexibly set, and the present application is not limited.

[0130] The model training data set includes a standard result sample and a test training sample.

[0131] When the planning model is trained, the test training sample is input into the planning model, the output value of the planning model is compared with the standard result sample, the loss function value is calculated, and if the loss function value is less than a predetermined threshold, the training is stopped, and the model output value is the final output value.

[0132] If the loss function value is greater than the predetermined loss function value, the weights of the model are continuously adjusted, and the calculation is continuously performed until the loss function value of the output value is less than the loss function value of the standard result sample value.

[0133] In an embodiment, the input parameters of the above-mentioned model include the following contents during implementation:

[0134] 1) Confirm market demand - product model and its order status (category, quantity, delivery time, etc.);

[0135] 2) Product information - size (external size), product operation surface (several surfaces need to be operated) and unfolded size, bill of materials;

[0136] 3) Process information - process flow, standard working hours;

[0137] 4) Production organization information - daily available working hours;

[0138] 5) Auxiliary information - personnel work area, equipment and its work area, passage size, material placement area, available space status and restrictions;

[0139] The parameters of the model processing include the following:

[0140] 1) Calculate the "daily demand" of the product according to market demand;

[0141] 2) Calculate the "daily output" according to available working hours and standard working hours;

[0142] 3) Calculate the required "number of stations" according to the daily demand and the daily output;

[0143] 4) Calculate the single-station usage area according to product size, work surface, and deployment size;

[0144] For example, product size: length L, width W; product is a single work surface; product gap L1 (determined according to demand, generally recommended L1 = 0.1m); personnel work distance W1 (if the work surface needs to open the product door (door width L), then W1 = L and W1 >= 0.8m); single-station minimum floor area S min ;

[0145] S min = (L + L1) x (W + W1 + L1);

[0146] 5) Calculate other auxiliary areas according to auxiliary information.

[0147] After calculation, the output information includes the following:

[0148] 1) Required number of stations, direct personnel requirement;

[0149] 2) Direct production area, auxiliary area, etc.

[0150] In one embodiment, according to the factory-related parameters, through the pre-constructed planning model, the planning suggestions corresponding to the factory-related parameters are determined, the current production workshop is obtained through the camera, and the image frame is obtained; according to the image frame and the workshop layout planning, it is judged whether the current workshop layout is reasonable; if not, output alarm prompt information in a visual manner.

[0151] For example, the prompt information can be displayed on the display screen, and the prompt information can be an exclamation mark or an X mark, indicating that the current workshop layout is not reasonable.

[0152] In order to conduct inspection and supervision, in one embodiment, a monitoring image frame in a production workshop is obtained;

[0153] According to the monitoring image frame, it is judged whether the employee is in compliance; if not, the corresponding alarm information is issued.

[0154] Specifically, a plurality of cameras can be arranged in the workshop. The positions and angles of the cameras can be flexibly set. The images in the workshop are acquired by the cameras. The supervision of the workers in the workshop is realized.

[0155] In order to realize the function of supervising the workers, in an embodiment, when judging whether the employee is in compliance according to the monitoring image frame, the operating worker in the image frame is identified based on a pre-trained target recognition detection model; it is judged whether the operating worker wears a safety helmet; if not, an alarm information is sent to the workbench where the operating worker is located.

[0156] Specifically, the target detection model can be trained; the trained target detection model can successfully distinguish between workers wearing safety helmets and workers not wearing safety helmets.

[0157] The workers can be supervised in the working state according to the image frame. In an embodiment, referring to a schematic diagram of the relationship between a worker and a workbench position shown in FIG. 1; Figure 2

[0158] For any group of workbenches, the center point coordinates (X2, Y2) of the marking box of the operating worker in the workbench and the center point coordinates (X1, Y1) of the marking box of the workbench are acquired;

[0159] The difference between the horizontal coordinate X2 of the center point of the marking box of the operating worker and the horizontal coordinate X1 of the center point of the marking box of the workbench is calculated;

[0160] It is judged whether the difference is greater than a predetermined difference distance;

[0161] If the difference distance is greater than the predetermined difference distance, it is determined that the operating worker is in a non-working state.

[0162] Specifically, because the worker works on the workbench, in theory, the horizontal coordinate of the recognized worker should be within the range of the horizontal coordinate of the workbench. If the difference between the horizontal coordinate of the center point of the worker marking box and the horizontal coordinate of the center point of the workbench is greater than the predetermined difference range, it is determined that the worker is not working on the workbench. At this time, the state is a non-working state.

[0163] Through the monitoring of the image frame, the work performance of the worker can also be managed. In an embodiment, in a working day, the time period during which the operating worker is in a non-working state is statistically calculated; it is judged whether the time period is greater than a predetermined time threshold; if so, the performance of the operating worker is deducted.

[0164] ​Specifically, the non-working state time period can be divided into different levels according to time length; each level corresponds to different deduction values.

[0165] Referring to Table 2 shown:

[0166] first tier first time period range first deduction value second tier second time period range second deduction value third tier third time period range third deduction value fourth tier fourth time period range fourth deduction value

[0167] Table 2

[0168] The above embodiments of the present application establish a scientific and systematic model; reduce the dependence on personnel experience; can discuss or simulate the rationality of the production area before implementation, reducing the risk of errors; based on scientific calculation, long-term planning is carried out to avoid repeated planning or production "filling in the gaps", and to maintain the orderly operation of the site with reasonable production area.

[0169] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown.

[0170] In a second aspect, the present application also provides a workshop planning and inspection supervision device, referring to the structural schematic diagram of a workshop planning and inspection supervision device shown in the accompanying drawings; the device comprises: Figure 3 The device comprises:

[0171] The first unit 31 is configured to acquire a first parameter and a second parameter of a target workshop to be planned, wherein the first parameter is used to represent a parameter related to the production capacity of the target workshop to be planned, and the second parameter is used to represent a parameter related to the demand of the target workshop to be planned;

[0172] The second unit 32 is configured to determine a first planning suggestion corresponding to the first parameter and a second planning suggestion corresponding to the second parameter by using a pre-constructed planning model according to the first parameter and the second parameter.

[0173] The third unit 33 is configured to verify the first planning suggestion and the second planning suggestion based on a pre-set verification parameter, and if the verification is passed, the first planning suggestion and the second planning suggestion after the verification are output in a visual manner.

[0174] In an embodiment, the fourth unit 34 is further configured to, after the third unit 33 outputs the first planning suggestion and the second planning suggestion after the verification in a visual manner,

[0175] Obtain image information of the target workshop's on-site operation, and determine whether the image information matches the first planning suggestion and the second planning suggestion.

[0176] If there is a mismatch, a corresponding prompt will be displayed in the visual interface, and the prompt will be linked to the production management system.

[0177] In one embodiment, the fourth unit 34 is further configured to obtain at least one of the following in the image information: workstation number, logistics channel, and warehouse area, based on a pre-trained target recognition model.

[0178] The first difference between the number of workstations in the image information and the standard number of workstations, the second difference between the logistics channel in the image information and the standard logistics channel, and the third difference between the warehouse area in the image information and the standard warehouse area are determined respectively.

[0179] Determine whether the first difference, the second difference, and the third difference are within a preset difference range.

[0180] If any one of the first difference, the second difference, and the third difference exceeds the preset difference range, then it is determined that the on-site operation of the target workshop to be planned does not match the first planning suggestion and the second planning suggestion.

[0181] In one implementation, the first planning proposal and the second planning proposal include at least one master planning scheme and multiple alternative planning schemes;

[0182] The fourth unit 34 is also used to, when it is determined that the on-site operation of the target workshop to be planned does not match the first planning suggestion and the second planning suggestion,

[0183] If the main planning scheme does not match the actual operation of the target workshop, multiple alternative planning schemes will be output.

[0184] In one implementation, the first unit 31 is further configured to acquire the first and second parameters of the target workshop to be planned in real time;

[0185] The second unit 32 is also used to, in the event that the first parameter and the second parameter change, output the changed first planning suggestion and the changed second planning suggestion corresponding to the changed first parameter and the changed second parameter in real time, and output the changed first planning suggestion and the changed second planning suggestion in a visual manner.

[0186] In one embodiment, a fifth unit 35 is also included, for acquiring monitoring image frames within the production workshop;

[0187] The system determines whether an employee is compliant based on the monitored image frames; if not, it issues a corresponding alarm.

[0188] In one embodiment, the fifth unit 35 is further configured to:

[0189] The image frame is used to identify the workers in operation based on a pre-trained target recognition and detection model.

[0190] Determine whether the operator is wearing a safety helmet;

[0191] If not, an alarm message is sent to the workstation where the operator is located.

[0192] In one embodiment, the fifth unit 35 is further configured to:

[0193] For any set of workbenches;

[0194] Obtain the center point of the operator's marker frame and the coordinates of the center point of the marker frame of the workbench;

[0195] Calculate the difference between the x-coordinate of the center point of the operator's marker frame and the x-coordinate of the center point of the workbench's marker frame;

[0196] Determine whether the difference is greater than a predetermined difference distance;

[0197] If the difference distance is greater than a predetermined difference distance, then it is determined that the operator is in a non-working state.

[0198] In one embodiment, the fifth unit 35 is further configured to:

[0199] During a workday, the time period during which the operator is not working is calculated.

[0200] Determine whether the time period is greater than a predetermined time threshold;

[0201] If so, points will be deducted from the performance of the operator.

[0202] According to a third aspect of this application, an electronic device is provided, see appendix. Figure 4 The schematic diagram of the electronic device shown includes at least one processor 41 and at least one memory 42; the memory 42 is used to store one or more program instructions; the processor 41 is used to run one or more program instructions to perform any of the methods described above.

[0203] Fourthly, this application also proposes a computer-readable storage medium containing one or more program instructions for performing the method described in any of the preceding claims.

[0204] The disclosed methods, steps and logic block diagrams in the embodiments of the present application can be implemented or performed with a general- purpose processor, a special purpose processor or any other processor. The steps of the methods disclosed in the embodiments of the present application can be directly embodied to a hardware code, a processor code, a software code, an instruction code, one or more machine learning codes, or any combination thereof. The software code can be located in a storage medium such as a random access memory, a flash memory, a read only memory, a programmable read only memory, an electrically programmable read only memory, a register, or any other storage medium in the art. The processor reads information in the storage medium and combines the hardware to perform the steps of the above-mentioned methods.

[0205] The storage medium can be a memory, for example, a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories.

[0206] The non-volatile memory can be a read only memory (ROM), a programmable read only memory (PROM), an erasable programmable read only memory (EPROM), an electrically EPROM (EEPROM), or a flash memory.

[0207] The volatile memory can be a random access memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM are available, for example, a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate SDRAM (DDR SDRAM), an enhanced SDRAM (ESDRAM), a Synchlink DRAM (SLDRAM), and a direct Rambus RAM (DRRAM).

[0208] The storage medium described in the embodiments of the present application is intended to include, but not limited to, these and any other suitable types of memory.

[0209] Obviously, those skilled in the art should understand that the modules or steps of the present application described above can be realized by using universal computing devices, which can be centralized on a single computing device or distributed on a network composed of multiple computing devices, and optionally, they can be realized by using program codes executable by the computing devices, so that they can be stored in storage devices and executed by the computing devices, or they can be respectively manufactured into individual integrated circuit modules, or multiple modules or steps among them can be manufactured into a single integrated circuit module to realize. Thus, the present application is not limited to any specific combination of hardware and software.

[0210] The above only describes the preferred embodiments of the present application and is not intended to limit the present application. Those skilled in the art can make various modifications and changes to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method of shop floor planning and inspection supervision, characterized in that, The method comprises the following steps: acquiring first parameters and second parameters of a target workshop to be planned, wherein the first parameters are used to represent parameters related to production capacity of the target workshop to be planned, and the second parameters are used to represent parameters related to demand of the target workshop to be planned; determining first planning suggestions corresponding to the first parameters and second planning suggestions corresponding to the second parameters through a pre-constructed planning model according to the first parameters and the second parameters; verifying the first planning suggestions and the second planning suggestions based on pre-set verification parameters, and outputting the first planning suggestions and the second planning suggestions in a visual manner if the verification is passed; after the first planning suggestions and the second planning suggestions that pass the verification are output in a visual manner, the method further comprises the following steps: acquiring image information of on-site operation of the target workshop to be planned, and determining whether the first planning suggestions and the second planning suggestions match based on the image information; if the first planning suggestions and the second planning suggestions do not match, displaying corresponding prompt information in a visual interface, and linking the prompt information to a production management system; the first parameters at least include at least one of product process related data, current situation layout of the workshop, and production capacity of personnel and equipment; the second parameters at least include at least one of land demand, resource demand, and product capacity planning demand; the first planning suggestions at least include layout planning of the target workshop to be planned; the second planning suggestions at least include at least one of logistics planning, storage planning, and project output delivery of the target workshop to be planned; the method of determining whether the first planning suggestions and the second planning suggestions match based on the image information comprises the following steps: acquiring at least one of the number of workstations, the logistics channel, and the warehouse area in the image information based on a pre-trained target recognition model; determining a first difference value between the number of workstations in the image information and a standard number of workstations, a second difference value between the logistics channel in the image information and a standard logistics channel, and a third difference value between the warehouse area in the image information and a standard warehouse area; determining whether the first difference value, the second difference value, and the third difference value are within a pre-set difference value range; if any one of the first difference value, the second difference value, and the third difference value exceeds the pre-set difference value range, it is determined that the on-site operation of the target workshop to be planned does not match the first planning suggestions and the second planning suggestions.

2. The method of claim 1, wherein, The first planning suggestions and the second planning suggestions at least include one main planning scheme and multiple alternative planning schemes, and in the case that the on-site operation of the target workshop to be planned does not match the first planning suggestions and the second planning suggestions, the method further comprises the following step: outputting multiple alternative planning schemes in the case that the main planning scheme does not match the on-site operation of the target workshop to be planned.

3. The method of claim 1, wherein, The method further comprises the following steps: Real-time acquisition of the first parameter and the second parameter of the target workshop to be planned, in the case of change of the first parameter and the second parameter, real-time output of the first planning suggestion and the second planning suggestion corresponding to the changed first parameter and the second parameter, and visual output of the changed first planning suggestion and the second planning suggestion.

4. The method of claim 1, wherein, The visualization mode at least includes at least one of a scheme book, a video, and a three-dimensional and / or two-dimensional image.

5. A plant planning and inspection supervising device characterized by comprising: Comprise: The first unit is used for acquiring the first parameter and the second parameter of the target workshop to be planned, wherein the first parameter is used to represent the production capacity related parameter of the target workshop to be planned, and the second parameter is used to represent the demand related parameter of the target workshop to be planned; The second unit is used for determining the first planning suggestion corresponding to the first parameter and the second planning suggestion corresponding to the second parameter through the pre-constructed planning model according to the first parameter and the second parameter; The third unit is used for verifying the first planning suggestion and the second planning suggestion based on the pre-set verification parameter, and if the verification is passed, the first planning suggestion and the second planning suggestion after the verification are output in a visual manner; Further comprising a fourth unit, for the third unit after outputting the first planning suggestion and the second planning suggestion after the verification in a visual manner, Acquire image information of the target workshop to be planned on site, and determine whether the first planning suggestion and the second planning suggestion match based on the image information; If not, display the corresponding prompt information in the visual interface, and link the prompt information to the production management system; The first parameter at least includes at least one of product process related data, workshop current layout, and personnel equipment production capacity; The second parameter at least includes at least one of land demand, resource demand, and product capacity planning demand; The first planning suggestion at least includes layout planning of the target workshop to be planned; The second planning suggestion at least includes at least one of logistics planning, warehouse planning and project output delivery of the target workshop to be planned; The fourth unit further acquires at least one of the number of workstations, the logistics channel and the warehouse area in the image information based on the pre-trained target recognition model; Determine the first difference value between the number of workstations in the image information and the standard number of workstations, the second difference value between the logistics channel in the image information and the standard logistics channel, and the third difference value between the warehouse area in the image information and the standard warehouse area, respectively; Determine whether the first difference value, the second difference value and the third difference value are within the pre-set difference value range, respectively; If any one of the first difference value, the second difference value and the third difference value exceeds the pre-set difference value range, it is determined that the on-site running condition of the target workshop to be planned does not match the first planning suggestion and the second planning suggestion.

6. A plant planning and inspection supervising apparatus characterized by comprising: Comprise: At least one processor and at least one memory; The memory is used to store one or more program instructions; The processor is configured to execute one or more program instructions to perform the method of any one of claims 1-4.

7. A computer readable storage medium characterized in that, A computer readable storage medium comprises one or more program instructions for performing the method of any one of claims 1-4.

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