Workshop monitoring method, system and equipment based on industrial internet of things, and medium

Abstract

The invention discloses a workshop monitoring method, system and device based on the industrial Internet of Things and a medium, and relates to the technical field of the Internet of Things, and the method comprises the steps: obtaining a processing task of a target production line in a workshop, and determining the target production rate of the target production line and at least one target processing device according to the processing task; determining an optimal environment parameter of the at least one target processing device according to the target production rate, and dividing the workshop into at least one environment regulation area according to the optimal environment parameter and the at least one target processing device; for each environment adjustment area in the at least one environment adjustment area, obtaining distribution data of each environment adjustment terminal in the workshop, and determining target adjustment parameters corresponding to each environment adjustment terminal in the environment adjustment area according to the distribution data; and generating an environment adjustment instruction according to the target adjustment parameter. The method has the effect of improving the intellectualization level of the workshop.

Description

Technical Field

[0001] The present application relates to the technical field of industrial Internet of Things, and in particular to a workshop monitoring method, system, equipment and medium based on the industrial Internet of Things. Background Art

[0002] In modern industrial production, the monitoring and adjustment of workshop environment is crucial to improving production efficiency, ensuring product quality, and protecting employee health. At present, many companies still use traditional environmental adjustment methods, such as simple regulation of mechanical ventilation and air-conditioning systems. These methods usually rely on manual monitoring and manual adjustment, lack of real-time feedback, resulting in unstable environmental parameters and failure to respond to changes in the workshop in a timely manner.

[0003] In addition, although existing sensor equipment can monitor temperature, humidity, and air quality to a certain extent, its integration is not high, and most systems lack effective data connectivity and collaboration. This makes it difficult to achieve optimized automation and intelligent management of workshop environment regulation.

[0004] Therefore, overall, the current level of intelligentization in workshops is still relatively low, and modern technical means have not been fully utilized to achieve efficient and accurate environmental control. With the development of industrial Internet of Things technology, the intelligentization potential of workshop environment adjustment in the future is huge, and it is urgently needed to improve production efficiency. Summary of the invention

[0005] In order to improve the intelligence level of workshops, this application provides workshop monitoring methods, systems, equipment and media based on industrial Internet of Things.

[0006] In the first aspect, the present application provides a workshop monitoring method based on the industrial Internet of Things, which adopts the following technical solutions: The workshop monitoring method based on the industrial Internet of Things is applied to the industrial Internet of Things system, wherein the industrial Internet of Things system includes a management platform, a sensor network platform and an object platform which are sequentially connected in communication. The method is executed by the management platform and includes: Obtaining a processing task of a target production line in a workshop, and determining a target production rate and at least one target processing equipment of the target production line according to the processing task; Determining optimal environmental parameters of the at least one target processing equipment according to the target production rate, and dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment; For each of the at least one environmental adjustment area, obtaining distribution data of each environmental adjustment terminal in the workshop, and determining a target adjustment parameter corresponding to each of the environmental adjustment terminals in the environmental adjustment area according to the distribution data; An environmental adjustment instruction is generated according to the target adjustment parameter to control the corresponding environmental adjustment terminal in the at least one environmental adjustment area, so that the at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters.

[0007] By adopting the above technical solution, the processing task of the target production line in the workshop is obtained, and the target production rate and at least one target processing equipment of the target production line are determined according to the processing task, and then the optimal environmental parameters of the at least one target processing equipment are determined according to the target production rate, and the workshop is divided into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment, and then for each of the at least one environmental adjustment area, the distribution data of each environmental adjustment terminal in the workshop is obtained, and the target adjustment parameters corresponding to each environmental adjustment terminal in the environmental adjustment area are determined according to the distribution data, and finally, the environmental adjustment instructions are generated according to the target adjustment parameters to control the corresponding environmental adjustment terminals in at least one environmental adjustment area, so that at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters; through the above method, the intelligent adjustment of the environment in various places in the workshop is realized. Compared with the manual adjustment method, it can respond to the changing needs in the workshop in time, and then realize the efficient and accurate adjustment and control of the environment in various places in the workshop, thereby improving the intelligence, automation and information level of the workshop, and better meeting the intelligent and automated production needs of modern industry.

[0008] Optionally, the step of determining the target production rate of the target production line and at least one target processing equipment according to the processing task includes: Acquire the processing quantity, processing deadline and processing procedure of the target production line according to the processing task; A target production rate of the target production line is determined according to the processing quantity and the processing procedure, and at least one target processing equipment is determined from the target production line according to the processing procedure.

[0009] By adopting the above technical scheme, in order to determine the target production rate and at least one target processing equipment, the processing quantity, processing deadline and processing procedure of the target production line are obtained according to the processing task, and then the target production rate of the target production line is determined according to the processing quantity and processing procedure, and at least one target processing equipment is determined from the target production line according to the processing procedure.

[0010] Optionally, the step of determining the optimal environmental parameters of the at least one target processing equipment according to the target production rate includes: Acquire a historical processing rate of the at least one target processing device, and determine a processing rate ratio of the at least one target processing device according to the historical processing rate; Determining a target processing rate corresponding to each target processing equipment according to the target production rate and the processing rate ratio; For each target processing equipment, obtaining evaluation data of the target processing equipment by an evaluation personnel, wherein the evaluation data includes rate data and environmental parameter data, and generating a corresponding environmental parameter vector according to the environmental parameter data; Fitting a data relationship between the rate data and the environmental parameter vector according to the rate data and the environmental parameter vector to obtain a corresponding fitting function; The target processing rate is input into the fitting function to obtain the optimal environmental parameters corresponding to the target processing equipment.

[0011] By adopting the above technical scheme, in order to determine the optimal environmental parameters of at least one target processing equipment, the historical processing rate of at least one target processing equipment is obtained, and the processing rate ratio of at least one target processing equipment is determined based on the historical processing rate, and then the target processing rate corresponding to each target processing equipment is determined based on the target production rate and the processing rate ratio, and then for each target processing equipment, the evaluation data of the target processing equipment by the evaluator is obtained, the evaluation data includes rate data and environmental parameter data, and a corresponding environmental parameter vector is generated based on the environmental parameter data, and then the data relationship between the rate data and the environmental parameter vector is fitted based on the rate data and the environmental parameter vector to obtain the corresponding fitting function, and finally the target processing rate is input into the fitting function to obtain the optimal environmental parameters corresponding to the target processing equipment.

[0012] Optionally, the step of dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameter and the at least one target processing equipment includes: Acquire scanning data of the workshop, and generate an environment model corresponding to the workshop according to the scanning data; Obtaining a preset grid division accuracy, and gridding the internal space of the workshop according to the grid division accuracy and the environmental model to obtain corresponding grid data; Determine a target grid and a non-target grid according to the grid data; the grid of the internal space includes the target grid and the non-target grid, and the target grid is a grid corresponding to the space where the at least one target processing equipment is located; Determine a first environmental parameter corresponding to each of the target grids according to the optimal environmental parameter of the at least one target processing device, and determine a second environmental parameter corresponding to each of the non-target grids according to the first environmental parameter; Determine a first environmental impact factor corresponding to each of the target grids according to a first environmental parameter corresponding to each of the target grids, and determine a second environmental impact factor corresponding to each of the non-target grids according to a second environmental parameter corresponding to each of the target grids; Performing cluster analysis on the grids of the internal space according to the first influencing factor and the second influencing factor to obtain corresponding clustering results; The grids of the internal space are merged according to the clustering result to obtain at least one environment adjustment area.

[0013] By adopting the above technical solution, in order to divide the workshop into at least one environmental adjustment area, the scanning data of the workshop is obtained, and the environmental model corresponding to the workshop is generated according to the scanning data, and then the preset grid division accuracy is obtained, and the internal space of the workshop is grid-divided according to the grid division accuracy and the environmental model to obtain the corresponding grid data, and then the target grid and non-target grid are determined according to the grid data. The grid of the internal space includes the target grid and the non-target grid, and the target grid is the grid corresponding to the space where at least one target processing equipment is located, and then the first environmental parameter corresponding to each target grid is determined according to the optimal environmental parameter of at least one target processing equipment, and the second environmental parameter corresponding to each non-target grid is determined according to the first environmental parameter, and then the first environmental impact factor corresponding to each target grid is determined according to the first environmental parameter corresponding to each target grid, and the second environmental impact factor corresponding to each non-target grid is determined according to the second environmental parameter corresponding to each target grid, and then the grid of the internal space is clustered according to the first impact factor and the second impact factor to obtain the corresponding clustering result, and finally the grid of the internal space is merged according to the clustering result to obtain at least one environmental adjustment area.

[0014] Optionally, the first environmental parameter includes a first temperature parameter and a first humidity parameter, and the step of determining the first environmental impact factor corresponding to each target grid according to the first environmental parameter corresponding to each target grid includes: Inputting the first temperature parameters corresponding to each of the target grids into a preset temperature influence function to obtain a temperature influence value, and inputting the first humidity parameters corresponding to each of the target grids into a preset humidity influence function to obtain a humidity influence value; A first weight corresponding to the temperature impact value and a second weight corresponding to the humidity impact value are obtained, and a first environmental impact factor is determined according to the first weight, the second weight, the temperature impact value, and the humidity impact value.

[0015] By adopting the above technical scheme, in order to determine the first environmental impact factor corresponding to each target grid, the first temperature parameter corresponding to each target grid is first input into the preset temperature impact function to obtain the temperature impact value, and the first humidity parameter corresponding to each target grid is input into the preset humidity impact function to obtain the humidity impact value, and then the first weight corresponding to the temperature impact value and the second weight corresponding to the humidity impact value are obtained, and the first environmental impact factor is determined according to the first weight, the second weight, the temperature impact value and the humidity impact value.

[0016] Optionally, the step of determining, according to the distribution data, the target adjustment parameters corresponding to each of the environment adjustment terminals in the environment adjustment area includes: For each of the at least one environmental adjustment area, determining a regional adjustment source corresponding to the environmental adjustment area according to the environmental model and the distribution data; the regional adjustment source is the environmental adjustment terminal in the environmental adjustment area; Determining average environmental parameters of the environmental adjustment area according to the grid data; Determine the target adjustment parameter corresponding to each of the environmental adjustment terminals in the environmental adjustment area according to the average environmental parameter.

[0017] By adopting the above technical solution, in order to determine the target adjustment parameters corresponding to each environmental adjustment terminal, for each environmental adjustment area in at least one environmental adjustment area, the regional adjustment source corresponding to the environmental adjustment area is determined according to the environmental model and the distribution data. The regional adjustment source is the environmental adjustment terminal in the environmental adjustment area, and then the average environmental parameter of the environmental adjustment area is determined according to the grid data, and finally the target adjustment parameter corresponding to each environmental adjustment terminal in the environmental adjustment area is determined according to the average environmental parameter.

[0018] Optionally, the average environmental parameter includes average temperature and average humidity, and the step of determining the average environmental parameter of the environmental adjustment area according to the grid data includes: For each of the at least one environmental adjustment area, acquiring temperature data and humidity data corresponding to a grid in the environmental adjustment area according to the grid data, the first environmental data, and the second environmental data; Determine the grid average temperature in the environmental adjustment area according to the temperature data, and use the grid average temperature as the average temperature parameter of the environmental adjustment area; The average humidity of the grids in the environmental adjustment area is determined according to the humidity data, and the average humidity of the grids is used as the average humidity parameter of the environmental adjustment area.

[0019] By adopting the above-mentioned technical scheme, in order to determine the average environmental parameters of the environmental adjustment area, for each environmental adjustment area in at least one environmental adjustment area, the temperature data and humidity data corresponding to the grids in the environmental adjustment area are obtained according to the grid data, the first environmental data and the second environmental data, and then the average temperature of the grids in the environmental adjustment area is determined according to the temperature data, and the average temperature of the grids is used as the average temperature parameter of the environmental adjustment area. Finally, the average humidity of the grids in the environmental adjustment area is determined according to the humidity data, and the average humidity of the grids is used as the average humidity parameter of the environmental adjustment area.

[0020] On the second aspect, the present application also provides a workshop monitoring system based on the industrial Internet of Things, which adopts the following technical solutions: The workshop monitoring system based on the industrial Internet of Things includes a management platform, a sensor network platform and an object platform which are sequentially connected in communication. The sensor network platform is used to collect data through sensors. The object platform includes each production line and processing equipment in each production line. The management platform is configured with: A target production rate determination module, used to obtain a processing task of a target production line in a workshop, and determine a target production rate and at least one target processing equipment of the target production line according to the processing task; an environmental adjustment area division module, configured to determine the optimal environmental parameters of the at least one target processing equipment according to the target production rate, and to divide the workshop into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment; an environment adjustment area generation module, configured to obtain, for each of the at least one environment adjustment area, distribution data of each environment adjustment terminal in the workshop, and determine, according to the distribution data, a target adjustment parameter corresponding to each of the environment adjustment terminals in the environment adjustment area; The environmental adjustment instruction generation module is used to generate environmental adjustment instructions according to the target adjustment parameters to control the corresponding environmental adjustment terminal in the at least one environmental adjustment area, so that the at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters.

[0021] In a third aspect, the present application also provides a computer device, which adopts the following technical solution: A computer device comprises a memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor implements the method described in the first aspect when executing the computer program.

[0022] In a fourth aspect, the present application further provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program that can be loaded by a processor and execute the method described in the first aspect.

[0023] In summary, the present application includes at least the following beneficial technical effects: obtaining the processing task of the target production line in the workshop, and determining the target production rate and at least one target processing equipment of the target production line according to the processing task, and then determining the optimal environmental parameters of at least one target processing equipment according to the target production rate, and dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameters and at least one target processing equipment, and then for each of the at least one environmental adjustment area, obtaining the distribution data of each environmental adjustment terminal in the workshop, and determining the target adjustment parameters corresponding to each environmental adjustment terminal in the environmental adjustment area according to the distribution data, and finally generating an environmental adjustment instruction according to the target adjustment parameters to control the corresponding environmental adjustment terminal in at least one environmental adjustment area, so that at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters; through the above method, intelligent adjustment of the environment in various places in the workshop is realized. Compared with the manual adjustment method, it can respond to the changing needs in the workshop in a timely manner, and then realize efficient and accurate adjustment and control of the environment in various places in the workshop, thereby improving the intelligence, automation and informatization level of the workshop, and better meeting the intelligent and automated production needs of modern industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of the overall process of an embodiment of the present application.

[0025] Figure 2 It is a structural diagram of one application scenario of the system of an embodiment of the present application.

[0026] Figure 3 It is a structural diagram of another application scenario of the system of an embodiment of the present application.

[0027] Figure 4 It is a structural block diagram of the computer device of the present application. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0029] The embodiment of the present application discloses a workshop monitoring method based on industrial Internet of Things.

[0030] Reference Figure 1The workshop monitoring method based on the industrial Internet of Things is applied to the industrial Internet of Things system. The industrial Internet of Things system includes a management platform, a sensor network platform and an object platform which are sequentially connected in communication. The method is executed by the management platform and includes: Step S11, obtaining a processing task of a target production line in a workshop, and determining a target production rate and at least one target processing equipment of the target production line according to the processing task.

[0031] It should be noted that at least one target processing equipment means that the number of target processing equipment is at least one. There are usually multiple processing equipment on the target production line. For different processing tasks, different processing equipment on the target production line usually needs to be called for processing. At least one target processing equipment is a processing equipment selected from the target production line according to the processing task.

[0032] Step S12, determining the optimal environmental parameters of at least one target processing equipment according to the target production rate, and dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment.

[0033] Specifically, for each of the at least one target processing equipment, the optimal environmental parameters of each target processing equipment are determined according to the target production rate of each target processing equipment, and the workshop is divided into at least one environmental adjustment area according to the optimal environmental parameters of each target processing equipment and the target processing equipment.

[0034] Step S13: for each of the at least one environmental adjustment area, obtain distribution data of each environmental adjustment terminal in the workshop, and determine the target adjustment parameter corresponding to each environmental adjustment terminal in the environmental adjustment area according to the distribution data.

[0035] It should be noted that the optimal environmental parameters may include temperature, humidity, air flow speed, light intensity and other parameters. For temperature, the temperature in the workshop is monitored and adjusted in real time through air conditioning, heaters or cooling systems to keep it within the optimal operating temperature range of the equipment. The specific range can be adjusted according to the manufacturer's recommendations or evaluation data of the equipment; for humidity, a humidifier or dehumidifier is used to control the relative humidity in the workshop to ensure that the materials and equipment are in a suitable humid environment; for air flow speed, the air flow speed can be actively adjusted by installing fans, ventilation systems or air purifiers to improve equipment cooling and the comfort of the working environment; for light intensity, the brightness of the lighting equipment is adjusted, such as using dimmable lamps, to ensure that the working area has sufficient light to improve production efficiency and processing accuracy.

[0036] It should be further explained that the environmental adjustment terminal may include a temperature adjustment source, a humidity adjustment source, an airflow adjustment source, a light adjustment source, etc. The temperature adjustment source may be an air conditioner, a heater or a cooling system, etc. The humidity adjustment source may be a humidifier, a dehumidifier, a dryer, etc. The airflow adjustment source may be a fan, a ventilation system, an air purifier, etc. The light adjustment source is usually a lighting fixture.

[0037] Step S14, generating an environmental adjustment instruction according to the target adjustment parameters to control a corresponding environmental adjustment terminal in at least one environmental adjustment area, so that at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters.

[0038] It should be noted that at least one environmental adjustment zone represents an environmental adjustment zone of no less than one number. Through the target adjustment parameters in step S14, the environmental adjustment terminals in each environmental adjustment zone can be adjusted, so that each target processing equipment in each environmental adjustment zone can operate under its corresponding optimal environmental parameters, thereby realizing precise control of the environmental parameters in the workshop and ensuring production quality and efficiency.

[0039] In the above embodiment, the processing task of the target production line in the workshop is obtained, and the target production rate and at least one target processing equipment of the target production line are determined according to the processing task, and then the optimal environmental parameters of the at least one target processing equipment are determined according to the target production rate, and the workshop is divided into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment, and then for each of the at least one environmental adjustment area, the distribution data of each environmental adjustment terminal in the workshop is obtained, and the target adjustment parameters corresponding to each environmental adjustment terminal in the environmental adjustment area are determined according to the distribution data, and finally, the environmental adjustment instructions are generated according to the target adjustment parameters to control the corresponding environmental adjustment terminals in at least one environmental adjustment area, so that at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters; through the above method, the intelligent adjustment of the environment in various places in the workshop is realized. Compared with the manual adjustment method, it can respond to the changing needs in the workshop in a timely manner, and then realize the efficient and accurate adjustment and control of the environment in various places in the workshop, thereby improving the intelligence, automation and information level of the workshop, and better meeting the intelligent and automated production needs of modern industry.

[0040] As a further embodiment of the method, the step of determining a target production rate of a target production line and at least one target processing equipment according to the processing task includes: Step S21, obtaining the processing quantity, processing deadline and processing procedure of the target production line according to the processing task.

[0041] It should be noted that the task information that needs to be processed is extracted from the production scheduling system or the work order management system. This information usually includes the processing quantity, processing deadline and processing process. The processing quantity represents the number of products that need to be produced in the order, the processing deadline represents the delivery time of the order, and determines the production time frame. The processing process represents the various processes that need to be performed, which may include cutting, welding, assembly, etc.

[0042] Step S22, determining a target production rate of the target production line according to the processing quantity and the processing procedure, and determining at least one target processing equipment from the target production line according to the processing procedure.

[0043] It should be noted that the target production rate is calculated based on the processing quantity and processing deadline. The formula is usually: target production rate = processing quantity / processing deadline (hours), and the target production rate represents the number of production pieces that need to be completed in each time unit. According to the requirements of the processing procedure, evaluate the available production equipment, including the processing capacity, efficiency and working method of the equipment. Select at least one equipment that meets the requirements of the processing procedure. The following factors may need to be considered: whether the maximum production capacity of the equipment meets the target production rate; the availability of the equipment, confirm whether the equipment is available within the plan; the type of equipment required for a specific process.

[0044] In the above embodiment, in order to determine the target production rate and at least one target processing equipment, the processing quantity, processing deadline and processing procedure of the target production line are obtained according to the processing task, and then the target production rate of the target production line is determined according to the processing quantity and processing procedure, and at least one target processing equipment is determined from the target production line according to the processing procedure.

[0045] As a further embodiment of the method, the step of determining the optimal environmental parameters of at least one target processing equipment according to the target production rate includes: Step S31, obtaining a historical processing rate of at least one target processing equipment, and determining a processing rate ratio of at least one target processing equipment according to the historical processing rate.

[0046] Step S32, determining the target processing rate corresponding to each target processing equipment according to the target production rate and the processing rate ratio.

[0047] Step S33, for each target processing equipment, obtaining the evaluation data of the target processing equipment by the evaluation personnel, the evaluation data including rate data and environmental parameter data, and generating a corresponding environmental parameter vector according to the environmental parameter data.

[0048] Step S34, fitting the data relationship between the rate data and the environmental parameter vector according to the rate data and the environmental parameter vector to obtain a corresponding fitting function.

[0049] Step S35, inputting the target processing rate into the fitting function to obtain the optimal environmental parameters corresponding to the target processing equipment.

[0050] In the above embodiment, in order to determine the optimal environmental parameters of at least one target processing equipment, the historical processing rate of at least one target processing equipment is obtained, and the processing rate ratio of at least one target processing equipment is determined based on the historical processing rate, and then the target processing rate corresponding to each target processing equipment is determined based on the target production rate and the processing rate ratio, and then for each target processing equipment, the evaluation data of the target processing equipment by the evaluator is obtained, the evaluation data includes rate data and environmental parameter data, and a corresponding environmental parameter vector is generated based on the environmental parameter data, and then the data relationship between the rate data and the environmental parameter vector is fitted based on the rate data and the environmental parameter vector to obtain the corresponding fitting function, and finally the target processing rate is input into the fitting function to obtain the optimal environmental parameters corresponding to the target processing equipment.

[0051] As a further embodiment of the method, the step of dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameters and at least one target processing equipment includes: Step S41, acquiring scanning data of the workshop, and generating an environment model corresponding to the workshop according to the scanning data.

[0052] Step S42, obtaining a preset grid division accuracy, and gridding the internal space of the workshop according to the grid division accuracy and the environmental model to obtain corresponding grid data.

[0053] Step S43, determining the target grid and the non-target grid according to the grid data.

[0054] The grids of the internal space include target grids and non-target grids, and the target grid is a grid corresponding to a space where at least one target processing device is located.

[0055] It can be understood that the non-target grids are other grids in the grid of the internal space except the target grid.

[0056] Step S44, determining first environmental parameters corresponding to each target grid according to the optimal environmental parameters of at least one target processing equipment, and determining second environmental parameters corresponding to each non-target grid according to the first environmental parameters.

[0057] Step S45, determining the first environmental impact factor corresponding to each target grid according to the first environmental parameter corresponding to each target grid, and determining the second environmental impact factor corresponding to each non-target grid according to the second environmental parameter corresponding to each target grid.

[0058] Step S46: performing cluster analysis on the grids of the internal space according to the first influencing factor and the second influencing factor to obtain corresponding clustering results.

[0059] Step S47: merging the grids of the internal space according to the clustering result to obtain at least one environment adjustment area.

[0060] In the above embodiment, in order to divide the workshop into at least one environmental adjustment area, the scanning data of the workshop is obtained, and the environmental model corresponding to the workshop is generated according to the scanning data, and then the preset grid division accuracy is obtained, and the internal space of the workshop is grid-divided according to the grid division accuracy and the environmental model to obtain the corresponding grid data, and then the target grid and the non-target grid are determined according to the grid data. The grid of the internal space includes the target grid and the non-target grid, and the target grid is the grid corresponding to the space where at least one target processing equipment is located, and then the first environmental parameter corresponding to each target grid is determined according to the optimal environmental parameter of at least one target processing equipment, and the second environmental parameter corresponding to each non-target grid is determined according to the first environmental parameter, and then the first environmental impact factor corresponding to each target grid is determined according to the first environmental parameter corresponding to each target grid, and the second environmental impact factor corresponding to each non-target grid is determined according to the second environmental parameter corresponding to each target grid, and then the grid of the internal space is clustered according to the first impact factor and the second impact factor to obtain the corresponding clustering result, and finally the grid of the internal space is merged according to the clustering result to obtain at least one environmental adjustment area.

[0061] As a further implementation of the method, the first environmental parameter includes a first temperature parameter and a first humidity parameter, and the step of determining the first environmental impact factor corresponding to each target grid according to the first environmental parameter corresponding to each target grid includes: Step S51, inputting the first temperature parameters corresponding to each target grid into a preset temperature influence function to obtain a temperature influence value, and inputting the first humidity parameters corresponding to each target grid into a preset humidity influence function to obtain a humidity influence value.

[0062] It should be noted that in this application, the temperature influence function is:

[0063] Where t represents the first temperature parameter, is a critical low temperature. is a critical high temperature.

[0064] The humidity influence function is:

[0065] Wherein, h represents the first humidity parameter, is a critical low temperature. is a critical high temperature.

[0066] Step S52, obtaining a first weight corresponding to the temperature influence value and a second weight corresponding to the humidity influence value, and determining a first environmental influence factor according to the first weight, the second weight, the temperature influence value and the humidity influence value.

[0067] It should be noted that the calculation method of the second environmental impact factor in step S45 is consistent with the calculation method of the first environmental impact factor. Specifically, the second environmental impact factor includes a second temperature parameter and a second humidity parameter. The second temperature parameters corresponding to each non-target grid are respectively input into a preset temperature impact function to obtain a second temperature impact value, and the second humidity parameters corresponding to each non-target grid are input into a preset humidity impact function to obtain a second humidity impact value; the first weight corresponding to the temperature impact value and the second weight corresponding to the humidity impact value are obtained, and the second environmental impact factor is determined based on the first weight, the second weight, the second temperature impact value and the second humidity impact value.

[0068] In the above embodiment, in order to determine the first environmental impact factor corresponding to each target grid, the first temperature parameter corresponding to each target grid is first input into a preset temperature impact function to obtain a temperature impact value, and the first humidity parameter corresponding to each target grid is input into a preset humidity impact function to obtain a humidity impact value, and then the first weight corresponding to the temperature impact value and the second weight corresponding to the humidity impact value are obtained, and the first environmental impact factor is determined based on the first weight, the second weight, the temperature impact value and the humidity impact value.

[0069] As a further implementation of the method, the step of determining the target adjustment parameters corresponding to each environment adjustment terminal in the environment adjustment area according to the distribution data includes: Step S61: for each environment adjustment area in at least one environment adjustment area, determine a regional adjustment source corresponding to the environment adjustment area according to the environment model and the distribution data.

[0070] Among them, the regional regulation source is the environmental regulation terminal within the environmental regulation area.

[0071] Step S62: determining the average environmental parameters of the environmental adjustment area according to the grid data.

[0072] Step S63: determining the target adjustment parameter corresponding to each environment adjustment terminal in the environment adjustment area according to the average environment parameter.

[0073] It should be noted that in step S63, the average environmental parameter can be used as the target adjustment parameter corresponding to each environmental adjustment terminal in the environmental adjustment area, or the target adjustment parameter can be set to a value higher or lower than the average environmental parameter according to the temperature difference and humidity difference inside and outside the workshop.

[0074] In the above implementation, in order to determine the target adjustment parameters corresponding to each environmental adjustment terminal, for each environmental adjustment area in at least one environmental adjustment area, the regional adjustment source corresponding to the environmental adjustment area is determined according to the environmental model and the distribution data. The regional adjustment source is the environmental adjustment terminal in the environmental adjustment area, and then the average environmental parameter of the environmental adjustment area is determined according to the grid data, and finally the target adjustment parameter corresponding to each environmental adjustment terminal in the environmental adjustment area is determined according to the average environmental parameter.

[0075] As a further embodiment of the method, the average environmental parameter includes average temperature and average humidity, and the step of determining the average environmental parameter of the environmental adjustment area according to the grid data includes: Step S71: for each of the at least one environment adjustment area, obtain temperature data and humidity data corresponding to a grid in the environment adjustment area according to the grid data, the first environment data and the second environment data.

[0076] Step S72: determining the average temperature of the grids in the environment adjustment area according to the temperature data, and using the average temperature of the grids as the average temperature parameter of the environment adjustment area.

[0077] Step S73, determining the average humidity of the grids in the environmental adjustment area according to the humidity data, and using the average humidity of the grids as the average humidity parameter of the environmental adjustment area.

[0078] In the above embodiment, in order to determine the average environmental parameters of the environmental adjustment area, for each environmental adjustment area in at least one environmental adjustment area, the temperature data and humidity data corresponding to the grids in the environmental adjustment area are obtained according to the grid data, the first environmental data and the second environmental data, and then the average temperature of the grids in the environmental adjustment area is determined according to the temperature data, and the average temperature of the grids is used as the average temperature parameter of the environmental adjustment area. Finally, the average humidity of the grids in the environmental adjustment area is determined according to the humidity data, and the average humidity of the grids is used as the average humidity parameter of the environmental adjustment area.

[0079] The embodiment of the present application also discloses a workshop monitoring system based on the industrial Internet of Things.

[0080] refer to Figure 2The workshop monitoring system based on the industrial Internet of Things includes a management platform, a sensor network platform and an object platform which are sequentially connected in communication, the sensor network platform is used to collect data through sensors, the object platform includes each production line and processing equipment in each production line, and the management platform is configured with: A target production rate determination module, used to obtain the processing tasks of the target production line in the workshop, and determine the target production rate and at least one target processing equipment of the target production line according to the processing tasks; An environment adjustment area division module, used to determine the optimal environment parameters of at least one target processing equipment according to the target production rate, and divide the workshop into at least one environment adjustment area according to the optimal environment parameters and the at least one target processing equipment; An environment adjustment area generation module, used for obtaining distribution data of each environment adjustment terminal in the workshop for each environment adjustment area in at least one environment adjustment area, and determining target adjustment parameters corresponding to each environment adjustment terminal in the environment adjustment area according to the distribution data; The environment adjustment instruction generation module is used to generate environment adjustment instructions according to target adjustment parameters to control the corresponding environment adjustment terminal in at least one environment adjustment area so that at least one target processing equipment in the workshop operates under the corresponding optimal environment parameters.

[0081] The overall framework of another application scenario of the workshop monitoring system based on the industrial Internet of Things of this application is as follows Figure 3 As shown, it may include a user platform, a service platform, a management platform, a sensor network platform and an object platform that interact in sequence, forming a five-platform architecture based on the Internet of Things. Among them, the management platform includes a target production rate determination module, an environmental adjustment area division module, an environmental adjustment area generation module and an environmental adjustment instruction generation module; the service platform includes a service total database, n service sub-platforms and n service sub-databases, each service sub-platform can communicate with the corresponding service sub-database, and each service sub-database can communicate with the service total database.

[0082] Specifically, in another application scenario mentioned above, the workshop monitoring system based on the industrial Internet of Things includes a management platform, which is configured to: obtain processing tasks of a target production line in the workshop, and determine a target production rate and at least one target processing equipment of the target production line based on the processing tasks; determine the optimal environmental parameters of at least one target processing equipment based on the target production rate, and divide the workshop into at least one environmental adjustment area based on the optimal environmental parameters and at least one target processing equipment; for each of the at least one environmental adjustment area, obtain distribution data of each environmental adjustment terminal in the workshop, and determine the target adjustment parameters corresponding to each environmental adjustment terminal in the environmental adjustment area based on the distribution data; generate environmental adjustment instructions based on the target adjustment parameters to control the corresponding environmental adjustment terminals in at least one environmental adjustment area, so that at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters.

[0083] Through the interaction between the various functional platforms of the workshop monitoring system based on the Industrial Internet of Things based on the above three platforms or five platforms, a complete closed-loop information operation logic is established, ensuring the orderly operation of perception information and control information and realizing intelligent equipment management.

[0084] The workshop monitoring system based on industrial Internet of Things of the present invention can implement any one of the workshop monitoring methods based on industrial Internet of Things, and the specific working process of the workshop monitoring system based on industrial Internet of Things of the present invention can refer to the corresponding process in the above-mentioned workshop monitoring method based on industrial Internet of Things.

[0085] The embodiment of the present application also discloses a computer device.

[0086] refer to Figure 4 A computer device includes a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, any of the above-mentioned workshop monitoring methods based on industrial Internet of Things is implemented.

[0087] The embodiment of the present application also discloses a computer-readable storage medium.

[0088] A computer-readable storage medium stores a computer program that can be loaded by a processor and execute any one of the above-mentioned workshop monitoring methods based on industrial Internet of Things.

[0089] Among them, computer-readable storage media can be any tangible medium that contains or stores a program, which can be used by or in conjunction with an instruction execution system, apparatus or device; the program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[0090] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. A workshop monitoring method based on industrial Internet of Things, characterized in that: Applied to an industrial Internet of Things system, the industrial Internet of Things system includes a management platform, a sensor network platform and an object platform that are sequentially communicatively connected, and the method is executed by the management platform, including: Obtaining a processing task of a target production line in a workshop, and determining a target production rate and at least one target processing equipment of the target production line according to the processing task; Determining optimal environmental parameters of the at least one target processing equipment according to the target production rate, and dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment; For each of the at least one environmental adjustment area, obtaining distribution data of each environmental adjustment terminal in the workshop, and determining a target adjustment parameter corresponding to each of the environmental adjustment terminals in the environmental adjustment area according to the distribution data; An environmental adjustment instruction is generated according to the target adjustment parameter to control the corresponding environmental adjustment terminal in the at least one environmental adjustment area, so that the at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters.

2. The workshop monitoring method based on industrial Internet of Things according to claim 1 is characterized in that: The step of determining the target production rate of the target production line and at least one target processing equipment according to the processing task comprises: Acquire the processing quantity, processing deadline and processing procedure of the target production line according to the processing task; A target production rate of the target production line is determined according to the processing quantity and the processing procedure, and at least one target processing equipment is determined from the target production line according to the processing procedure.

3. The workshop monitoring method based on industrial Internet of Things according to claim 1 is characterized in that: The step of determining the optimal environmental parameters of at least one target processing equipment according to the target production rate comprises: Acquire a historical processing rate of the at least one target processing device, and determine a processing rate ratio of the at least one target processing device according to the historical processing rate; Determining a target processing rate corresponding to each target processing equipment according to the target production rate and the processing rate ratio; For each target processing equipment, obtaining evaluation data of the target processing equipment by an evaluation personnel, wherein the evaluation data includes rate data and environmental parameter data, and generating a corresponding environmental parameter vector according to the environmental parameter data; Fitting a data relationship between the rate data and the environmental parameter vector according to the rate data and the environmental parameter vector to obtain a corresponding fitting function; The target processing rate is input into the fitting function to obtain the optimal environmental parameters corresponding to the target processing equipment.

4. The workshop monitoring method based on industrial Internet of Things according to claim 1 is characterized in that: The step of dividing the workshop into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment comprises: Acquire scanning data of the workshop, and generate an environment model corresponding to the workshop according to the scanning data; Obtaining a preset grid division accuracy, and gridding the internal space of the workshop according to the grid division accuracy and the environmental model to obtain corresponding grid data; Determine a target grid and a non-target grid according to the grid data; the grid of the internal space includes the target grid and the non-target grid, and the target grid is a grid corresponding to the space where the at least one target processing equipment is located; Determine a first environmental parameter corresponding to each of the target grids according to the optimal environmental parameter of the at least one target processing device, and determine a second environmental parameter corresponding to each of the non-target grids according to the first environmental parameter; Determine a first environmental impact factor corresponding to each of the target grids according to a first environmental parameter corresponding to each of the target grids, and determine a second environmental impact factor corresponding to each of the non-target grids according to a second environmental parameter corresponding to each of the target grids; Performing cluster analysis on the grids of the internal space according to the first influencing factor and the second influencing factor to obtain corresponding clustering results; The grids of the internal space are merged according to the clustering result to obtain at least one environment adjustment area.

5. The workshop monitoring method based on industrial Internet of Things according to claim 4 is characterized in that: The first environmental parameter includes a first temperature parameter and a first humidity parameter. The step of determining the first environmental impact factor corresponding to each target grid according to the first environmental parameter corresponding to each target grid includes: Inputting the first temperature parameters corresponding to each of the target grids into a preset temperature influence function to obtain a temperature influence value, and inputting the first humidity parameters corresponding to each of the target grids into a preset humidity influence function to obtain a humidity influence value; A first weight corresponding to the temperature impact value and a second weight corresponding to the humidity impact value are obtained, and a first environmental impact factor is determined according to the first weight, the second weight, the temperature impact value, and the humidity impact value.

6. The workshop monitoring method based on industrial Internet of Things according to claim 4 is characterized in that: The step of determining the target adjustment parameters corresponding to each of the environment adjustment terminals in the environment adjustment area according to the distribution data includes: For each of the at least one environmental adjustment area, determining a regional adjustment source corresponding to the environmental adjustment area according to the environmental model and the distribution data; the regional adjustment source is the environmental adjustment terminal in the environmental adjustment area; Determining average environmental parameters of the environmental adjustment area according to the grid data; Determine the target adjustment parameter corresponding to each of the environmental adjustment terminals in the environmental adjustment area according to the average environmental parameter.

7. The workshop monitoring method based on industrial Internet of Things according to claim 6 is characterized in that: The average environmental parameters include average temperature and average humidity. The step of determining the average environmental parameters of the environmental adjustment area according to the grid data includes: For each of the at least one environmental adjustment area, acquiring temperature data and humidity data corresponding to a grid in the environmental adjustment area according to the grid data, the first environmental data, and the second environmental data; Determine the grid average temperature in the environmental adjustment area according to the temperature data, and use the grid average temperature as the average temperature parameter of the environmental adjustment area; The average humidity of the grids in the environmental adjustment area is determined according to the humidity data, and the average humidity of the grids is used as the average humidity parameter of the environmental adjustment area.

8. The workshop monitoring system based on industrial Internet of Things is characterized by: It includes a management platform, a sensor network platform and an object platform which are sequentially connected in communication, the sensor network platform is used to collect data through sensors, the object platform includes each production line and processing equipment in each production line, and the management platform is configured with: A target production rate determination module, used to obtain a processing task of a target production line in a workshop, and determine a target production rate and at least one target processing equipment of the target production line according to the processing task; an environmental adjustment area division module, configured to determine the optimal environmental parameters of the at least one target processing equipment according to the target production rate, and to divide the workshop into at least one environmental adjustment area according to the optimal environmental parameters and the at least one target processing equipment; an environment adjustment area generation module, configured to obtain, for each of the at least one environment adjustment area, distribution data of each environment adjustment terminal in the workshop, and determine, according to the distribution data, a target adjustment parameter corresponding to each of the environment adjustment terminals in the environment adjustment area; The environmental adjustment instruction generation module is used to generate environmental adjustment instructions according to the target adjustment parameters to control the corresponding environmental adjustment terminal in the at least one environmental adjustment area, so that the at least one target processing equipment in the workshop operates under the corresponding optimal environmental parameters.

9. A computer device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor implements the method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 7.

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