Industrial production data acquisition solution automatic generation method and system

Abstract

The invention discloses an industrial production data acquisition solution automatic generation method and system, acquisition of user demands is realized by adopting an interactive heuristic question and answer mode, the whole process is completed by selecting a list of monitoring equipment information and management demands provided by the system, and a preset solution template is called to realize automatic generation of the industrial production data acquisition solution. And a solution is quickly and automatically generated by combining a big data intelligent analysis method. According to the method, the solution making efficiency is improved, the user only needs to select the list provided by the system according to the collection capability of the user, the demand collection process can be rapidly completed, the user side and the solution provider can cross the communication gap, the key information expression is clear and definite, and the user experience is improved. Therefore, the final solution is more accurate.

Description

Technical Field

[0001] The present application belongs to the field of industrial control digital information, and in particular relates to a method and system for automatically generating industrial production data acquisition solutions. Background Art

[0002] With the development of industrial intelligence, the safety monitoring of industrial production has gradually been replaced by intelligent monitoring instead of traditional methods (such as manual inspections). The core working principle of intelligent monitoring is to collect various key data (including equipment data, system data, etc.) in the industrial production environment, and then use the program to conduct targeted statistics and analysis on various data to give monitoring results. To smoothly transition the industrial scene from traditional methods to intelligent monitoring, an accurate and applicable industrial production data collection solution is needed. However, there are currently major problems in the formulation of this solution.

[0003] The formulation of industrial production data collection solutions requires the joint participation of users and solution providers. Users are generally front-line practitioners in the industrial industry, while solution providers are generally non-front-line personnel, or even non-direct industrial industry personnel. Therefore, the current industrial data collection solution formulation process has the following problems: users do not know how to collect data with various devices in their hands, what data to collect, what problems to solve, and most importantly, what information the solution provider needs to provide in cooperation; similarly, the solution provider does not know what devices the user has, what usage scenarios, and what problems the user cares about. Most importantly, they do not know how to guide the user to give the demand from the perspective of technical implementation. To solve the above problems, the current solution is to collect needs through questionnaires or interviews, but this method of demand collection is not only easy to cause inaccurate demand positioning because the user is separated from the actual collection capabilities that the system can provide, but also the process of solution formulation is heavily dependent on the professional capabilities of the solution provider. Therefore, the efficiency of data collection solution formulation is low and the effect is poor.

[0004] Based on the above situation, the traditional industrial production data collection solution formulation method cannot effectively meet the actual needs. There is an urgent need for an automatic generation method of industrial production data collection solutions that can achieve good interaction between user needs and solution providers and can be implemented efficiently. Summary of the invention

[0005] The embodiment of the present application provides a method and system for automatically generating industrial production data collection solutions. It uses an interactive heuristic question-and-answer method led by the solution provider to complete the interaction between user needs and solutions, and uses the method of calling preset solution templates and combining the use of big data intelligent analysis to achieve rapid and automatic generation of solutions. This method not only improves the efficiency of solution formulation, but also because the user only needs to select the list provided by the system based on its own collection capabilities, the demand collection process can be quickly completed, allowing the user and the solution provider to bridge the communication gap, and the key information is clearly expressed, so that the final solution is more accurate.

[0006] In a first aspect, an embodiment of the present application provides a method for automatically generating an industrial production data collection solution, the method comprising: Equipment information collection: The user selects the monitored equipment information list provided by the system to complete the collection of the monitored equipment information. The monitored equipment information includes the monitored equipment type information and the monitored equipment basic attribute information. The monitored equipment type information includes: host equipment type and / or network equipment type. The monitored equipment basic attribute information includes: brand and model; Management requirement information collection: The user selects the management requirement list provided by the system and completes the collection of the management requirement information. The management requirement information includes device management requirements and scenario management requirements. The device management requirements include: safe operation and / or device operation and maintenance; the scenario management requirements include: smart factory and / or smart park; Collection solution generation: Based on the information collected by the equipment information collection and the management demand collection, the preset solution template is retrieved, combined with the use of big data intelligent analysis, to generate an industrial production data collection solution.

[0007] Furthermore, the device type information also includes: PLC equipment, and / or production equipment, and / or safety equipment, and / or database, and / or robot, and / or intelligent instrument; the device type information of the host device class includes the host device's: operating system, and / or CPU bit number, and / or device quantity; the device type information of the network device class includes the device type of the network device, and the device type includes: switch, and / or router.

[0008] Furthermore, the list of monitored device information provided by the system also includes collection indicators of the monitored devices selected by the user.

[0009] Furthermore, the equipment management requirements for the security operation include: host virus detection, and / or host whitelist; the equipment management requirements for the equipment operation and maintenance include: host operation monitoring, and / or host core process port monitoring.

[0010] Furthermore, the scenario management requirements of the smart factory include: real-time monitoring, and / or production capacity analysis, and / or energy consumption analysis, and / or equipment comprehensive efficiency analysis; the scenario management requirements of the smart park include: energy consumption data monitoring, and / or cost data monitoring.

[0011] Furthermore, the list of management requirements provided by the system also includes style templates of the device management requirements and / or scene management requirements, and the user can select from the style templates as needed.

[0012] Furthermore, the acquisition solution includes that the system recommends basic device attribute information of the hardware acquisition device based on the collected monitoring device information and using a big data intelligent analysis algorithm, and the hardware acquisition device is a network device that performs the acquisition task.

[0013] In a second aspect, an embodiment of the present application provides an automatic generation system for an industrial production data acquisition solution, the system comprising: Device information collection module: the user selects the monitored device information list provided by the system to complete the collection of the monitored device information, the monitored device information includes the monitored device type information and the monitored device basic attribute information, the monitored device type information includes: host device type and / or network device type, the monitored device basic attribute information includes: brand and model; Management demand information collection module: The user selects according to the list of management requirements provided by the system to complete the collection of the management demand information. The management demand information includes equipment management requirements and scenario management requirements. The equipment management requirements include: safe operation and / or equipment operation and maintenance; the scenario management requirements include: smart factory and / or smart park; Collection solution generation module: Based on the information collected by the equipment information collection module and the management demand collection module, the preset solution template is retrieved and combined with the use of big data intelligent analysis to generate an industrial production data collection solution.

[0014] In a third aspect, an embodiment of the present application provides a target device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, it implements a method for automatically generating an industrial production data acquisition solution as described in any one of the first aspects above.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for automatically generating an industrial production data collection solution as described in any one of the first aspects above is implemented.

[0016] It can be understood that the beneficial effects of the second to fourth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0017] Compared with the prior art, the beneficial effects of the embodiments of the present application are as follows: the collection of user needs in the present application is realized by an interactive heuristic question-and-answer method, and the whole process is completed by selecting the list of monitoring equipment information and management needs provided by the system, so while saving the cost of technical explanation, it cleverly crosses the communication gap between the user and the solution provider. The list provided by the system in the present application is different from the existing commonly used demand questionnaire, but takes into account the requirements of facilitating the automated implementation of the solution and comprehensively obtaining the key information required for the key links. At the same time, the list of management needs provided by the system also includes style templates for equipment management needs and / or scene management needs, which can enable users to confirm the future solution form in advance, reducing the possibility of disagreements during solution acceptance. And the generation process of the acquisition solution in the present application calls the preset solution template, and combined with the hardware acquisition equipment recommended by the big data intelligent analysis algorithm, it can quickly and automatically generate the optimal acquisition solution under the existing acquisition resources, improving the efficiency and effect of solution generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0019] Figure 1 It is a flowchart of a method for automatically generating an industrial production data collection solution provided by an embodiment of the present application; Figure 2 This is a schematic diagram of an automatic generation method of an industrial production data collection solution and a system division of labor interface provided by an embodiment of the present application; Figure 3 This is a schematic diagram of a device information collection process provided by an embodiment of the present application; Figure 4 This is a logical example diagram of the list composition of monitored device information in device information collection provided in an embodiment of the present application; Figure 5 This is a schematic diagram of the management requirement information collection process provided by an embodiment of the present application; Figure 6 This is an example diagram of a device management requirement style template provided in an embodiment of the present application; Figure 7 This is a schematic diagram of a collection solution generation process provided by an embodiment of the present application; Figure 8 This is an example diagram of an industrial production data collection solution provided by an embodiment of the present application; Fig. 9 This is a schematic diagram of an automatic generation system for an industrial production data collection solution provided by an embodiment of the present application; Fig.10 It is a schematic diagram of a target device of an automatic generation method of an industrial production data acquisition solution provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0021] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0022] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0023] As used in the specification and appended claims of this application, the term "if" can be interpreted as "when" or "uponce" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "uponce it is determined" or "in response to determining" or "uponce [described condition or event] is detected" or "in response to detecting [described condition or event]", depending on the context.

[0024] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0025] References to "one embodiment" or "some embodiments" etc. described in the specification of this application mean that one or more embodiments of the present application include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0026] The embodiment of the present application provides a method and system for automatically generating industrial production data collection solutions. It uses an interactive heuristic question-and-answer method led by the solution provider to complete the interaction between user needs and solutions, and uses the method of calling preset solution templates and combining the use of big data intelligent analysis to achieve rapid and automatic generation of solutions. This method not only improves the efficiency of solution formulation, but also because the user only needs to select the list provided by the system based on its own collection capabilities, the demand collection process can be quickly completed, allowing the user and the solution provider to bridge the communication gap, and the key information is clearly expressed, so that the final solution is more accurate.

[0027] In one example, the method for automatically generating an industrial production data collection solution of the present application is used in an automatic generation system for an industrial production data collection solution, and includes the following main steps: S101, device information collection: the user selects the monitored device information list provided by the system to complete the monitored device information collection, the monitored device information includes the monitored device type information and the monitored device basic attribute information, the monitored device type information includes: host device type and / or network device type, the monitored device basic attribute information includes: brand and model; S102, collection of management demand information: the user selects according to the list of management requirements provided by the system, and completes the collection of the management demand information, the management demand information includes device management requirements and scenario management requirements, the device management requirements include: safe operation and / or device operation and maintenance; the scenario management requirements include: smart factory and / or smart park; S103, collection solution generation: based on the information collected by the equipment information collection and the management demand collection, a preset solution template is retrieved, and combined with big data intelligent analysis, an industrial production data collection solution is generated.

[0028] This application investigates a large number of cases of industrial production scenarios transforming from traditional monitoring to intelligent monitoring, and determines a general model formed by the key processes of various cases to be presented to users in the form of questions and answers, so that users can quickly and effectively provide the solution provider with clear and definite key information required; at the same time, the solution provider tailors a solution for the user based on the user's input, providing an efficient communication method for both parties. The specific process can be found in the attached Figure 1 .

[0029] The main steps of the method for automatically generating a solution for industrial production data collection of the present application are described below in conjunction with an embodiment to illustrate the method for automatically generating a solution of the present invention.

[0030] S101, Equipment Information Collection: In one embodiment, the process of collecting device information is as follows: Figure 3 As shown, it is divided into three key steps: the first step is that the user needs to input the device information; the second step is that the system (the solution provider of the present invention includes an industrial production data acquisition solution automatic generation system, which will not be repeated below) matches the corresponding acquisition method according to the device information input by the user; the third step is that the system feeds back the solution of the acquisition device to the user. It can be seen that the user's ability to accurately input the information of the monitored device is the basis for forming a suitable production data acquisition plan and ultimately achieving successful acquisition. When the user inputs the first step of the device information acquisition solution, the user is required to clearly and explicitly provide the specific type of equipment to be managed and monitored (such as host equipment, network equipment, etc.) and the basic attribute information of the equipment (such as brand and model, etc.). However, in production practice, due to the existence of similar communication gaps pointed out in the background technology. This basic data is often not accurately obtained.

[0031] In order to solve the above problem, in one embodiment of the present application, the user selects according to the list of monitored device information provided by the system to complete the collection of the monitored device information. Figure 4As shown, it is necessary to take into account the requirements of facilitating the automated implementation of the solution and fully obtaining the key information required for the key links. This requirement of taking both into account will be concentrated in the process of generating solutions in the following text, and will not be expanded here. Due to the above reasons, the list of monitored equipment information will integrate most types of equipment in the industry, and list the manufacturers and models with a wide audience for each type of equipment in a selection manner. Users only need to follow the guidance and simply click to clearly convey their needs to the solution provider, down to the specific manufacturer model.

[0032] In another embodiment, the device type information also includes: PLC equipment, and / or production equipment, and / or safety equipment, and / or database, and / or robot, and / or intelligent instrument; the device type information of the host device class includes the host's: operating system, and / or CPU bit number, and / or number of devices; the device type information of the network device class includes the device type of the network device, and the device type includes: switch, and / or router.

[0033] In another embodiment, Figure 2 As shown, the automatic solution generation system, that is, the solution provider, after obtaining the device list provided by the above-mentioned user, matches the corresponding collection method for each device, including the physical model of the device, and the device collection APP; then the solution provider can feedback to the user which key indicators each device will collect for the user's second confirmation.

[0034] In another embodiment, Figure 2 As shown, the list of monitored device information provided by the solution automatically generates the system also includes the collection indicators of the monitored devices selected by the user. For example, in host products, key indicators include: basic system information, ARP cache information, firewall information, file modification information, hardware status information, etc.; in network equipment products, the key indicators of switch products include: system information, ARP information, port network information, TCP information, IP information, bridge information, etc. The clarification of these collection indicators is an important factor affecting the accuracy of the collection solution and the actual needs of production. This is especially evident in some professional or special scenarios. In other more general scenarios, the system can formulate solutions based on the default general collection indicators.

[0035] S102. Management demand information collection: In one embodiment, the implementation process of management requirement information collection is as follows: Figure 5As shown, this stage is mainly divided into five steps: the first step is that the user inputs the requirements for equipment management according to the list; the second step is that the system feedbacks the corresponding equipment management function; the third step is that the system provides value-added equipment services for users to choose; the fourth step is that the user inputs the requirements for scene management; the fifth step is that the system provides a specific service list for the management of the selected scene for users to choose.

[0036] Specifically, the collection of management demand information is completed by the user selecting according to the list of management demand provided by the system. The collection of management demand information involves two aspects: one is the user's management demand for equipment; the other is the user's management demand for scenes.

[0037] Equipment management requirements include: security operation, and / or equipment operation and maintenance, and / or fault diagnosis. Equipment management requirements for security operation include: host virus detection, and / or host whitelist; equipment management requirements for equipment operation and maintenance include: host operation monitoring, and / or host core process port monitoring. Based on user input, the system will provide users with a specific list of equipment management requirements, such as real-time monitoring APP, abnormality monitoring APP, fault diagnosis APP, etc., which will be selected by the user.

[0038] In one embodiment, the scenario management requirements include: smart factory, and / or smart park, and / or electronic equipment production line, and / or OEE analysis, etc. The scenario management requirements of smart factory include: real-time monitoring, and / or capacity analysis, and / or energy consumption analysis, and / or equipment comprehensive efficiency analysis; the scenario management requirements of smart park include: energy consumption data monitoring, and / or cost data monitoring.

[0039] In another embodiment, based on the user's input, the system can recommend similar equipment management functions in the equipment management demand library as value-added functions to the user, and the user can confirm whether to use them, such as operation rule APP, fault prediction APP, equipment portrait APP, health assessment APP, predictive maintenance APP, life cycle management APP, etc.

[0040] In another embodiment, the system provides corresponding service functions based on the usage scenarios input by the user, such as production line monitoring APP, production line anomaly detection APP, production line fault diagnosis APP, OEE analysis APP, production capacity forecasting APP, energy consumption analysis APP, etc., which can be selected by the user.

[0041] In another embodiment, Figure 6 As shown, the list of management requirements provided by the system also includes style templates of device management requirements and / or scene management requirements. The user selects from the style templates as needed and the user confirms again.

[0042] S103, Collection Solution Generation: like Figure 7 As shown, the collection solution is generated based on the information collected by the equipment information collection module and the management demand collection module, calling the preset solution template, and combining the use of big data intelligent analysis to generate an industrial production data collection solution.

[0043] In one implementation, when generating a solution, the system uses a big data intelligent analysis algorithm to recommend basic device attribute information of a hardware acquisition device based on the collected monitoring device information. The hardware acquisition device is a network device that performs acquisition tasks. When the device type is determined to be a certain model of PLC device through device information collection, the system will query the resource library and feedback the acquisition indicators of the device to the user, such as the following five items: 1.CPU operation mode; 2. Device system time; 3.PLC model; 4. Memory usage (total memory capacity, free capacity, used capacity, and usage rate); 5. Equipment fault log (fault code, fault content, fault occurrence time, fault type).

[0044] The amount of data collected by each of the above indicators can be estimated: the amount of data collected by the CPU operation mode indicator is about 3B / time; the amount of data collected by the device system time indicator is about 19B / time, the amount of data collected by the PLC model indicator is about 10B / time, the amount of data collected by the memory usage indicator is about 20B / time, and the amount of data collected by the device fault log indicator is about 102B / time. The data collection cycle of the gateway is 60s / time, so the amount of data collected in one day can be calculated, which is approximately: 86400 / 60*(3+19+10+20+102) / 1024 / 1024=0.212MB The above algorithm can evaluate the amount of data collected by all the user's devices in a day, and can also evaluate the required bandwidth and other information based on the collected indicators; at the same time, the above data volume can be analyzed, and the resources required to process this part of the data can be roughly calculated based on the selected big data analysis algorithm. Through the above method, the theoretically required hardware resources can be calculated to provide users with reasonable suggestions. Then, based on the management demand information provided by the user and the template inside the system, fill in the corresponding content to generate the final industrial production data collection solution.

[0045] Figure 8 An example of the final industrial production data acquisition solution generated for an example of this application.

[0046] Based on the same technical concept, such as Fig. 9As shown, the embodiment of the present application also provides an automatic generation system for industrial production data collection solutions. For the sake of convenience, only the parts related to the embodiment of the present application are shown. Fig. 9 The system has a device information collection module 301, a management demand information collection module 302, and a collection solution generation module 303. Device information collection module 301: The user selects the monitored device information list provided by the system to complete the collection of the monitored device information, wherein the monitored device information includes the monitored device type information and the monitored device basic attribute information, wherein the monitored device type information includes: host device type and / or network device type, and the monitored device basic attribute information includes: brand and model; Management requirement information collection module 302: The user selects according to the list of management requirements provided by the system to complete the collection of the management requirement information, the management requirement information includes device management requirements and scenario management requirements, the device management requirements include: safe operation and / or device operation and maintenance; the scenario management requirements include: smart factory and / or smart park; Collection solution generation module 303: based on the information collected by the equipment information collection module and the management demand collection module, retrieve the preset solution template, combine it with big data intelligent analysis, and generate an industrial production data collection solution.

[0047] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0048] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of the present application. Their specific functions and technical effects can be found in the method embodiment part and will not be repeated here.

[0049] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0050] like Fig.10 As shown, an embodiment of the present application also provides a target device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the target device program, the steps in any of the above-mentioned method embodiments are implemented.

[0051] An embodiment of the present application provides a computer program product. When the computer program product runs on a terminal, the terminal can implement the steps in the above-mentioned method embodiments when executing the computer program product.

[0052] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / target device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0053] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0054] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0055] In the embodiments provided in the present application, it should be understood that the disclosed devices / network equipment and methods can be implemented in other ways. For example, the device / network equipment embodiments described above are merely schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0056] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0057] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for automatically generating an industrial production data collection solution, characterized in that: The method comprises: Equipment information collection: The user selects the monitored equipment information list provided by the system to complete the collection of the monitored equipment information. The monitored equipment information includes the monitored equipment type information and the monitored equipment basic attribute information. The monitored equipment type information includes: host equipment type and / or network equipment type. The monitored equipment basic attribute information includes: brand and model; Management requirement information collection: The user selects the management requirement list provided by the system and completes the collection of the management requirement information. The management requirement information includes device management requirements and scenario management requirements. The device management requirements include: safe operation and / or device operation and maintenance; the scenario management requirements include: smart factory and / or smart park; Collection solution generation: Based on the information collected by the equipment information collection and the management demand collection, the preset solution template is retrieved, combined with the use of big data intelligent analysis, to generate an industrial production data collection solution.

2. The method for automatically generating an industrial production data collection solution according to claim 1, characterized in that: The device type information also includes: PLC equipment, and / or production equipment, and / or safety equipment, and / or database, and / or robot, and / or intelligent instrument; the device type information of the host device class includes: operating system, and / or CPU bit number, and / or device quantity of the host device; the device type information of the network device class includes the device type of the network device, and the device type includes: switch, and / or router.

3. The method for automatically generating an industrial production data collection solution according to claim 2, characterized in that: The list of monitored device information provided by the system also includes collection indicators of the monitored devices selected by the user.

4. The method for automatically generating an industrial production data collection solution according to claim 1, characterized in that: The equipment management requirements for the security operation include: host virus detection and / or host whitelist; the equipment management requirements for the equipment operation and maintenance include: host operation monitoring and / or host core process port monitoring.

5. The method for automatically generating an industrial production data collection solution according to claim 1, characterized in that: The scenario management requirements of the smart factory include: real-time monitoring, and / or production capacity analysis, and / or energy consumption analysis, and / or equipment comprehensive efficiency analysis; the scenario management requirements of the smart park include: energy consumption data monitoring, and / or cost data monitoring.

6. The method for automatically generating an industrial production data collection solution according to claim 1, characterized in that: The list of management requirements provided by the system also includes style templates of the device management requirements and / or scene management requirements, and the user can select from the style templates as needed.

7. The method for automatically generating an industrial production data collection solution according to claim 1, characterized in that: The acquisition solution includes that the system recommends basic device attribute information of a hardware acquisition device based on the acquired monitoring device information and using a big data intelligent analysis algorithm, wherein the hardware acquisition device is a network device that performs acquisition tasks.

8. An automatic generation system for industrial production data collection solutions, characterized in that: The system comprises: Device information collection module: the user selects the monitored device information list provided by the system to complete the collection of the monitored device information, the monitored device information includes the monitored device type information and the monitored device basic attribute information, the monitored device type information includes: host device type and / or network device type, the monitored device basic attribute information includes: brand and model; Management demand information collection module: The user selects according to the list of management requirements provided by the system to complete the collection of the management demand information. The management demand information includes equipment management requirements and scenario management requirements. The equipment management requirements include: safe operation and / or equipment operation and maintenance; the scenario management requirements include: smart factory and / or smart park; Collection solution generation module: Based on the information collected by the equipment information collection module and the management demand collection module, the preset solution template is retrieved and combined with the use of big data intelligent analysis to generate an industrial production data collection solution.

9. A target device, characterized in that: The target device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for automatically generating an industrial production data acquisition solution as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the method for automatically generating an industrial production data acquisition solution according to any one of claims 1 to 7 is implemented.

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