CN114840589A - Industrial equipment basic parameter management system based on SaaS cloud platform - Google Patents
Industrial equipment basic parameter management system based on SaaS cloud platform Download PDFInfo
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Abstract
The invention provides an industrial equipment basic parameter management system based on a SaaS cloud platform, which comprises the following steps: the equipment import layer is used for updating the equipment import information to the equipment library in real time; the SaaS cloud platform is used for managing the industrial equipment contained in the equipment library based on the to-be-executed items input by the user to obtain corresponding management threads; the management analysis layer is used for analyzing the management thread to obtain a corresponding analysis result, and performing secondary management on the corresponding industrial equipment based on the analysis result to obtain a corresponding final management thread; the method and the system are used for managing basic parameters of different industrial equipment managed by different enterprises based on the SaaS cloud platform, and generating corresponding management threads based on the input to-be-executed project, so that damage and faults of the industrial equipment in the project execution process are reduced, the management cost is reduced, and the management efficiency is improved.
Description
Technical Field
The invention relates to the technical field of equipment management, in particular to an industrial equipment basic parameter management system based on a software as a service (SaaS) cloud platform.
Background
SaaS is a short name for Software-as-a-service, and is a development of internet technology and a maturation of application Software. The system is a mode for providing software through the Internet, a manufacturer uniformly deploys application software on a server of the manufacturer, and a customer can order required application software services from the manufacturer through the Internet according to actual requirements of the customer and obtain the services provided by the manufacturer through the Internet. Users manage business activities based on Web-based software. SaaS is the best approach to adopt advanced technology for many small businesses, eliminating the need for businesses to purchase, build, and maintain infrastructure and applications.
Currently, the basic parameter settings for device management contain 7 major parts: function setting, equipment type, inspection items, equipment grouping, fault type, spare part management and equipment inspection parameters; because the management of the basic parameters of the industrial equipment relates to huge data information, parameter libraries and limiting rules, the management efficiency of a manual mode is extremely low, unified management system software for different equipment managed by different enterprises does not exist, and if the construction of personalized software is required for the industrial equipment managed by the enterprises, the cost is huge, and the application of small and medium-sized enterprises is not facilitated.
Therefore, the invention provides an industrial equipment basic parameter management system based on a SaaS cloud platform.
Disclosure of Invention
The invention provides an industrial equipment basic parameter management system based on a SaaS cloud platform, which is used for managing basic parameters of different industrial equipment managed by different enterprises based on the SaaS cloud platform and generating corresponding management threads based on input to-be-executed projects, so that the damage and the fault of the industrial equipment in the project execution process are reduced, the management cost is reduced, and the management efficiency is increased.
The invention provides an industrial equipment basic parameter management system based on a software as a service (SaaS) cloud platform, which comprises the following steps:
the equipment import layer is used for updating the equipment import information to the equipment library in real time;
the SaaS cloud platform is used for managing the industrial equipment contained in the equipment library based on the to-be-executed items input by the user to obtain corresponding management threads;
and the management analysis layer is used for analyzing the management thread to obtain a corresponding analysis result, and performing secondary management on the corresponding industrial equipment based on the analysis result to obtain a corresponding final management thread.
Preferably, the device import layer includes:
the information receiving module is used for receiving equipment import information input by a user in real time based on any communication terminal for building a preset server;
the summary table updating module is used for obtaining a latest industrial equipment summary table based on the equipment import information;
and the equipment library updating module is used for updating the latest industrial equipment summary table to the equipment library based on a preset network protocol.
Preferably, the summary table updating module includes:
the information analysis unit is used for analyzing the equipment import information to obtain an equipment number and an equipment type corresponding to the equipment to be imported;
the classification and summarization unit is used for classifying and summarizing all equipment numbers based on the equipment types to obtain an equipment list corresponding to each equipment type;
and the summary table updating unit is used for updating the equipment import information to the equipment list and then updating the equipment import information to obtain the latest industrial equipment summary table.
Preferably, the SaaS cloud platform includes:
the item receiving unit is used for receiving the item to be executed input by the user;
the equipment management unit is used for managing the corresponding industrial equipment contained in the equipment library based on the item to be executed;
and the thread recording unit is used for recording the corresponding management thread based on the to-be-executed item.
Preferably, the device management unit includes:
the information analysis subunit is used for analyzing the to-be-executed item to obtain corresponding execution equipment information;
the equipment screening subunit is used for screening out corresponding first industrial equipment from the equipment library based on the execution equipment information;
the logic determination subunit is used for determining a corresponding execution plan based on the project to be executed and determining execution logic between the first industrial equipment based on the execution plan;
the equipment association subunit is used for carrying out logic association on the first industrial equipment based on the execution logic to obtain corresponding associated industrial equipment;
the equipment sorting subunit is used for sorting the associated industrial equipment based on the execution plan to obtain a project execution thread;
the network generation subunit is used for supplementing other first industrial equipment except the associated industrial equipment to the project execution thread based on the execution plan to obtain a corresponding primary project execution network;
the parameter giving subunit is used for giving a corresponding execution parameter change thread to corresponding first industrial equipment contained in the primary project execution network based on subtask information contained in the execution plan so as to obtain a corresponding secondary project execution network;
the length setting subunit is used for predicting the corresponding predicted execution time of each first industrial device contained in the secondary project execution network based on the subtask information, setting the network branch length of the secondary project execution network based on the predicted execution time, and obtaining the corresponding tertiary project execution network;
and the thread extraction subunit is used for screening out the same first industrial equipment in the tertiary project execution network, extracting all the same first industrial equipment and network branches between all the same first industrial equipment and execution parameter change threads corresponding to the same first industrial equipment in the tertiary project execution network, and obtaining a management thread corresponding to the first industrial equipment.
Preferably, the management analysis layer includes:
the thread analysis module is used for carrying out exception analysis on the management thread to obtain a corresponding analysis result;
the thread updating module is used for updating the management thread into a management record when the analysis result indicates that the management thread is not abnormal;
and the secondary management module is used for carrying out secondary management on the corresponding industrial equipment based on the analysis result and obtaining a corresponding final management thread when the analysis result indicates that the management thread is abnormal.
Preferably, the thread analysis module includes:
a rule calling unit, configured to call out a restriction rule of the first industrial device in the device library;
the first analysis unit is used for analyzing the restriction rule to obtain a restriction device corresponding to the first industrial device and a corresponding association restriction rule;
a first judgment unit, configured to judge, based on a corresponding management thread, whether there is a first limitation device in the tertiary item execution network whose connection relationship satisfies a connection relationship included in a corresponding association limitation rule, and if yes, take the first limitation device and the first industrial device as a corresponding first device to be judged;
the second analysis unit is used for analyzing the sub-restriction rules to obtain a first execution parameter association restriction range corresponding to the first industrial equipment and a second execution parameter association restriction range corresponding to the corresponding restriction equipment;
a thread calling unit, configured to call out, based on the tertiary item execution network, a first execution parameter change thread corresponding to the first industrial device and a second execution parameter change thread corresponding to the first limiting device;
a second determining unit, configured to, when a first abnormal execution parameter exceeding a first execution parameter association limit range exists in the first execution parameter change thread or a second abnormal execution parameter exceeding a second execution parameter association limit range exists in the second execution parameter change thread, take, as a corresponding first sub-analysis result, an abnormality in the management thread corresponding to the first device to be determined, and otherwise, take, as a corresponding first sub-analysis result, an absence of an abnormality in the management thread corresponding to the first device to be determined;
a third determining unit, configured to determine whether a total number of identical first industrial devices included in the management thread is 1 when there is no first limitation device whose connection relationship satisfies a connection relationship included in a corresponding sub-limitation rule in the tertiary item execution network;
a third analyzing unit, configured to, when the total number of identical first industrial devices included in the management thread is 1, use a corresponding first industrial device as a second device to be determined, analyze a restriction rule corresponding to the second device to be determined to obtain a corresponding normal state restriction rule, and determine a normal state restriction range corresponding to the second device to be determined based on the normal state restriction rule;
a fourth judging unit, configured to fetch, based on the tertiary item execution network, a third execution parameter change thread corresponding to the second device to be judged, and judge whether a third abnormal execution parameter exceeding a corresponding normal state limit range exists in the third execution parameter change thread, if yes, taking that a management thread corresponding to the second device to be judged has an abnormality as a corresponding second sub-analysis result, otherwise, taking that a management thread corresponding to the second device to be judged has no abnormality as a corresponding second sub-analysis result;
a fourth analyzing unit, configured to, when the total number of the same first industrial devices included in the management thread is not 1, take the corresponding first industrial device as a corresponding third device to be determined, and analyze a restriction rule corresponding to the third device to be determined to obtain a corresponding reuse restriction rule;
the data determining unit is used for determining corresponding reuse prediction interval time and execution parameter interval difference based on the management thread corresponding to the third device to be judged;
a fifth judging unit, configured to judge whether the reuse prediction interval time and the execution parameter interval difference satisfy a corresponding reuse restriction rule, if yes, use as a corresponding third sub-analysis result that a management thread corresponding to a third device to be judged is not abnormal, otherwise, use as a corresponding third sub-analysis result that a management thread corresponding to a third device to be judged is abnormal;
wherein the analysis result comprises: a first sub-analysis result, a second sub-analysis result, and a third sub-analysis result.
Preferably, the secondary management module includes:
the request generating unit is used for generating a corresponding correction request based on the analysis result when the analysis result indicates that the management thread is abnormal;
a feedback receiving unit, configured to receive request feedback input by a user based on the correction request;
the secondary management unit is used for carrying out secondary management on the corresponding industrial equipment based on the request feedback, recording and obtaining a corresponding final management thread, and updating the final management thread into a management record;
wherein the requesting feedback comprises: correcting the execution items and correcting the inspection items.
Preferably, the secondary management unit includes:
the information receiving subunit is used for receiving project correction information input by a user based on the request feedback when the request feedback is a correction execution project;
the plan generating subunit is used for generating a corresponding latest inspection maintenance plan based on abnormal equipment contained in the analysis result when the request feedback is the inspection item correction;
and the secondary management subunit is used for carrying out secondary management on the corresponding industrial equipment based on the project correction information or the latest inspection maintenance plan, recording and obtaining a corresponding final management thread, and updating the final management thread into a management record.
Preferably, the secondary management subunit includes:
a project correction subunit, configured to correct the to-be-executed project based on the project correction information and generate a corresponding latest execution project when the request feedback is a correction execution project;
the latest management subunit is used for carrying out secondary management on the corresponding industrial equipment contained in the equipment library based on the latest execution item, recording a corresponding final management thread, and updating the final management thread into a management record;
and the latest inspection sub-unit is used for setting corresponding basic parameters based on the latest inspection maintenance plan when the request feedback is the correction inspection maintenance item, recording the corresponding setting thread to obtain a corresponding final management thread, and updating the final management thread into a management record.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic diagram of an industrial equipment basic parameter management system based on a SaaS cloud platform in an embodiment of the present invention;
FIG. 2 is a schematic diagram of a device import layer according to an embodiment of the present invention;
FIG. 3 is a block diagram of a summary table update module according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a SaaS cloud platform according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating an apparatus management unit according to an embodiment of the present invention;
FIG. 6 is a diagram illustrating a management analysis layer according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating a thread analysis module according to an embodiment of the present invention;
FIG. 8 is a diagram illustrating a secondary management module according to an embodiment of the present invention;
FIG. 9 is a diagram illustrating a secondary management unit according to an embodiment of the present invention;
fig. 10 is a schematic diagram of a secondary management subunit according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
the invention provides an industrial equipment basic parameter management system based on a SaaS cloud platform, which comprises the following components with reference to figure 1:
the equipment import layer is used for updating the equipment import information to the equipment library in real time;
the SaaS cloud platform is used for managing the industrial equipment contained in the equipment library based on the to-be-executed items input by the user to obtain corresponding management threads;
and the management analysis layer is used for analyzing the management thread to obtain a corresponding analysis result, and performing secondary management on the corresponding industrial equipment based on the analysis result to obtain a corresponding final management thread.
In this embodiment, the item to be executed is an item that needs to be executed by the industrial equipment and is input by the user.
In this embodiment, the device library is a database for storing industrial devices.
In this embodiment, the device import information is information of the user import device input by the user.
In this embodiment, the management thread is a recording thread obtained by setting parameters of the industrial equipment included in the equipment library based on the to-be-executed item input by the user.
In this embodiment, the analysis result is a corresponding result obtained by analyzing the management thread.
In this embodiment, the final management thread is a management thread obtained after performing secondary management on the corresponding industrial device based on the analysis result.
The beneficial effects of the above technology are: the method and the system realize management of basic parameters of different industrial equipment managed by different enterprises based on the SaaS cloud platform, and generate corresponding management threads based on input to-be-executed projects, so that damage and faults of the industrial equipment in the project execution process are reduced, the management cost is reduced, and the management efficiency is improved.
Example 2:
on the basis of embodiment 1, the apparatus, referring to fig. 2, includes:
the information receiving module is used for receiving equipment import information input by a user in real time based on any communication terminal for building a preset server;
the summary table updating module is used for obtaining a latest industrial equipment summary table based on the equipment import information;
and the equipment library updating module is used for updating the latest industrial equipment summary table to the equipment library based on a preset network protocol.
In this embodiment, the preset server is, for example, an MQTT subscription server.
In this embodiment, the communication terminal is, for example, a mobile phone, a computer, or the like.
In this embodiment, the industrial device summary table is a summary table formed by the industrial devices that need to be imported and are determined based on the device import information.
In this embodiment, a network protocol such as TCP/IP is preset.
The beneficial effects of the above technology are: the method and the device are used for receiving the device import information based on the communication terminal which builds the preset server, and generating the corresponding industrial device summary table based on the device import information, so that the import function of the industrial device is realized.
Example 3:
on the basis of embodiment 2, the summary table updating module, referring to fig. 3, includes:
the information analysis unit is used for analyzing the equipment import information to obtain an equipment number and an equipment type corresponding to the equipment to be imported;
the classification and summarization unit is used for classifying and summarizing all equipment numbers based on the equipment types to obtain an equipment list corresponding to each equipment type;
and the summary table updating unit is used for updating the equipment import information to the equipment list and then updating the equipment import information to obtain the latest industrial equipment summary table.
In this embodiment, the device numbers are numbers for distinguishing different devices, and the numbers of each industrial device are different.
In this embodiment, the device type is a type of the device included in the device import information, and the device types corresponding to the industrial devices of different functional types are different.
In this embodiment, the device list is a list formed by device codes corresponding to each device type, which are obtained by classifying and summarizing all device numbers based on the device type.
The beneficial effects of the above technology are: the device codes of the industrial devices contained in the device import information are classified and summarized based on the device types contained in the device import information, so that the import efficiency and the import accuracy are improved, and the automatic arrangement of the device library is realized.
Example 4:
on the basis of embodiment 3, the SaaS cloud platform, with reference to fig. 4, includes:
the item receiving unit is used for receiving the item to be executed input by the user;
the equipment management unit is used for managing the corresponding industrial equipment contained in the equipment library based on the item to be executed;
and the thread recording unit is used for recording the corresponding management thread based on the to-be-executed item.
The beneficial effects of the above technology are: and managing the corresponding industrial equipment in the equipment library based on the to-be-executed item, and simultaneously recording and acquiring a corresponding management thread, thereby providing an important basis for the follow-up pre-detection of the abnormality of the to-be-executed item based on the management thread.
Example 5:
on the basis of embodiment 4, the device management unit, referring to fig. 5, includes:
the information analysis subunit is used for analyzing the item to be executed to obtain corresponding execution equipment information;
the equipment screening subunit is used for screening out corresponding first industrial equipment from the equipment library based on the execution equipment information;
the logic determination subunit is used for determining a corresponding execution plan based on the project to be executed and determining execution logic between the first industrial equipment based on the execution plan;
the equipment association subunit is used for carrying out logic association on the first industrial equipment based on the execution logic to obtain corresponding associated industrial equipment;
the equipment sorting subunit is used for sorting the associated industrial equipment based on the execution plan to obtain a project execution thread;
the network generation subunit is used for supplementing other first industrial equipment except the associated industrial equipment to the project execution thread based on the execution plan to obtain a corresponding primary project execution network;
the parameter giving subunit is used for giving a corresponding execution parameter change thread to corresponding first industrial equipment contained in the primary project execution network based on subtask information contained in the execution plan so as to obtain a corresponding secondary project execution network;
the length setting subunit is used for predicting the corresponding predicted execution time of each first industrial device contained in the secondary project execution network based on the subtask information, setting the network branch length of the secondary project execution network based on the predicted execution time, and obtaining the corresponding tertiary project execution network;
and the thread extraction subunit is used for screening out the same first industrial equipment in the tertiary project execution network, extracting all the same first industrial equipment and network branches between all the same first industrial equipment and execution parameter change threads corresponding to the same first industrial equipment in the tertiary project execution network, and obtaining a management thread corresponding to the first industrial equipment.
In this embodiment, the execution device information parses the to-be-executed item to obtain the relevant information of the device required by the corresponding execution item.
In this embodiment, the first industrial device is the corresponding industrial device screened from the device library based on the execution device information.
In this embodiment, the execution plan is a plan of an execution item determined based on the to-be-executed item.
In this embodiment, the execution logic is an execution sequence between the first industrial devices determined based on the execution plan.
In this embodiment, the associated industrial devices are two or more industrial devices obtained by logically associating the first industrial device based on the execution logic.
In this embodiment, the project execution thread is a thread representing a project execution process obtained by sorting the associated industrial devices based on the execution plan.
In this embodiment, the primary project execution network is a network representing a project execution sequence obtained after supplementing other first industrial devices except the associated industrial device to the project execution thread based on the execution plan.
In this embodiment, the secondary project execution network is a network representing a project execution sequence obtained after corresponding first industrial equipment included in the primary project execution network is given a corresponding execution parameter change thread based on subtask information included in the execution plan.
In this embodiment, the subtask information executes the task information included in the plan.
In this embodiment, the execution parameter is a thread of change of a parameter set when the device executes the item.
In this embodiment, the tertiary project execution network is a network representing the project execution sequence obtained after the network branch length of the secondary project execution network is set based on the predicted execution time.
In this embodiment, the predicted execution time is a time required for predicting the first industrial device to execute the corresponding sub-task.
In this embodiment, the network branch length is a length of a corresponding network branch included in the secondary item execution network determined based on the predicted execution time of the corresponding first industrial device.
In this embodiment, setting the network branch length of the secondary item execution network based on the predicted execution time includes:
in the formula, L 1 Executing the network branch length of the network for the secondary project, wherein L is the maximum value of the network branch length, e is a natural constant, the value of e is 2.72, alpha is a conversion coefficient, and T is 1 In order to predict the execution time, T is the maximum value of the predicted execution time;
for example, L is 10, α is 0.1, T 1 Is 10, T is 10, L 1 Was 11.05.
The beneficial effects of the above technology are: the method comprises the steps of screening, logically associating, sequencing, supplementing, giving execution parameters, predicting execution time and setting network branch length to the industrial equipment contained in the equipment library based on the to-be-executed items, further generating a corresponding item execution network, and extracting the management thread of the corresponding industrial equipment from the item execution network, so that the obtained management thread of the corresponding industrial equipment can completely and accurately represent the management process of the corresponding industrial equipment when the to-be-executed items are executed.
Example 6:
on the basis of embodiment 5, the management analysis layer, referring to fig. 6, includes:
the thread analysis module is used for carrying out exception analysis on the management thread to obtain a corresponding analysis result;
the thread updating module is used for updating the management thread into a management record when the analysis result indicates that the management thread is not abnormal;
and the secondary management module is used for carrying out secondary management on the corresponding industrial equipment based on the analysis result and obtaining a corresponding final management thread when the analysis result indicates that the management thread is abnormal.
In this embodiment, the management record is a record for storing basic parameter management of the industrial equipment.
The beneficial effects of the above technology are: by carrying out abnormity analysis on the management thread, the abnormity conditions such as faults, equipment damage and the like which can occur when the corresponding industrial equipment executes the project to be executed can be pre-detected in advance, and then early warning correction can be carried out in advance, so that the damage and the faults of the industrial equipment in the project execution process are reduced, the management cost is also reduced, and the management efficiency is increased.
Example 7:
on the basis of the embodiment 6, the thread analysis module, referring to fig. 7, includes:
a rule calling unit, configured to call out a restriction rule of the first industrial device in the device library;
the first analysis unit is used for analyzing the restriction rule to obtain a restriction device corresponding to the first industrial device and a corresponding association restriction rule;
a first judgment unit, configured to judge, based on a corresponding management thread, whether there is a first limitation device in the tertiary item execution network whose connection relationship satisfies a connection relationship included in a corresponding association limitation rule, and if yes, take the first limitation device and the first industrial device as a corresponding first device to be judged;
the second analysis unit is used for analyzing the sub-restriction rules to obtain a first execution parameter association restriction range corresponding to the first industrial equipment and a second execution parameter association restriction range corresponding to the corresponding restriction equipment;
a thread calling unit, configured to call out, based on the tertiary item execution network, a first execution parameter change thread corresponding to the first industrial device and a second execution parameter change thread corresponding to the first limiting device;
a second judging unit, configured to, when a first abnormal execution parameter exceeding a first execution parameter association limit range exists in the first execution parameter change thread or a second abnormal execution parameter exceeding a second execution parameter association limit range exists in the second execution parameter change thread, take a management thread corresponding to the first device to be judged as a corresponding first sub-analysis result, and otherwise, take a management thread corresponding to the first device to be judged as a corresponding first sub-analysis result if no abnormality exists;
a third determining unit, configured to determine whether a total number of identical first industrial devices included in the management thread is 1 when there is no first limitation device whose connection relationship satisfies a connection relationship included in a corresponding sub-limitation rule in the tertiary item execution network;
a third analyzing unit, configured to, when the total number of identical first industrial devices included in the management thread is 1, use a corresponding first industrial device as a second device to be determined, analyze a restriction rule corresponding to the second device to be determined to obtain a corresponding normal state restriction rule, and determine a normal state restriction range corresponding to the second device to be determined based on the normal state restriction rule;
a fourth judging unit, configured to fetch, based on the tertiary item execution network, a third execution parameter change thread corresponding to the second device to be judged, and judge whether a third abnormal execution parameter exceeding a corresponding normal state limit range exists in the third execution parameter change thread, if yes, taking that a management thread corresponding to the second device to be judged has an abnormality as a corresponding second sub-analysis result, otherwise, taking that a management thread corresponding to the second device to be judged has no abnormality as a corresponding second sub-analysis result;
a fourth analyzing unit, configured to, when the total number of the same first industrial devices included in the management thread is not 1, take the corresponding first industrial device as a corresponding third device to be determined, and analyze a restriction rule corresponding to the third device to be determined to obtain a corresponding reuse restriction rule;
the data determining unit is used for determining corresponding reuse prediction interval time and execution parameter interval difference based on the management thread corresponding to the third device to be judged;
a fifth judging unit, configured to judge whether the reuse prediction interval time and the execution parameter interval difference satisfy a corresponding reuse restriction rule, if yes, use as a corresponding third sub-analysis result that a management thread corresponding to a third device to be judged is not abnormal, otherwise, use as a corresponding third sub-analysis result that a management thread corresponding to a third device to be judged is abnormal;
wherein the analysis result comprises: a first sub-analysis result, a second sub-analysis result, and a third sub-analysis result.
In this embodiment, the restriction rule is a restriction rule during use corresponding to the first industrial device called out from the device library.
In this embodiment, the limitation device is a device with usage limitation corresponding to the first industrial device obtained after the limitation rule is parsed.
In this embodiment, the associated restriction rule is a restriction rule for use corresponding to the first industrial device and the corresponding restriction device.
In this embodiment, the first device to be determined is the first limitation device whose connection relationship in the tertiary item execution network satisfies the connection relationship included in the corresponding association limitation rule.
In this embodiment, the first execution parameter association limiting range is a usable range of the execution parameter corresponding to the first industrial device obtained by analyzing the sub-limiting rule.
In this embodiment, the second execution parameter association limiting range is a usable range of the execution parameter corresponding to the corresponding limiting device obtained by analyzing the sub-limiting rule.
In this embodiment, the first execution parameter change thread is a change thread of the execution parameter corresponding to the first industrial device that is called out based on the third project execution network.
In this embodiment, the second execution parameter change thread is a change thread of the execution parameter corresponding to the first limitation device that is called out based on the third-time item execution network.
In this embodiment, the first sub-analysis result is a result obtained after performing anomaly analysis on the first device to be determined.
In this embodiment, the second device to be determined is the corresponding first industrial device when the total number of the same first industrial devices included in the management thread is 1.
In this embodiment, the normal state restriction rule is a restriction rule obtained after the restriction rule corresponding to the second device to be determined is analyzed, where the restriction rule has no associated restriction device when used and corresponds to a case where the device is repeatedly used.
In this embodiment, the third execution parameter change thread is a change thread of the execution parameter corresponding to the second device to be determined, which is called out by the network based on the third item execution.
In this embodiment, the normal state limitation range is a limitation range corresponding to a case where the second device to be determined, which is determined based on the normal state limitation rule, has no associated limitation device when in use and is repeatedly used.
In this embodiment, the second sub-analysis result is a result obtained after performing anomaly analysis on the second device to be determined.
In this embodiment, the third device to be determined is the corresponding first industrial device when the total number of the same first industrial devices included in the management thread is not 1.
In this embodiment, the reuse restriction rule is a restriction rule corresponding to reuse obtained after the restriction rule corresponding to the third device to be determined is analyzed.
In this embodiment, determining, based on the management thread corresponding to the third device to be determined, the corresponding reuse prediction interval time and the execution parameter interval difference includes:
the reuse prediction interval time is the prediction interval time of the third equipment to be judged which is determined based on the management thread corresponding to the third equipment to be judged and is reused;
where Δ S is an execution parameter interval difference, and i is a current setting during a previous use when the third judged device is repeatedly usedN is the total number of times the execution parameter was set during the previous use when the third judged device was reused, a 1i An execution parameter set for the ith time in the previous use when the third judged device is reused, j is an execution parameter set for the current time in the next use when the third judged device is reused, m is the total number of times of setting the execution parameter in the next use when the third judged device is reused, A 2i Setting an execution parameter for the jth time in the next using process when the third judged device is repeatedly used;
for example, the parameters set during the previous use when the third determined device is reused are: 5. 6, 7, the parameters set in the next using process when the third judged device is repeatedly used are as follows: 3. 4, 5, then Δ S is 2.
In this embodiment, the second sub-analysis result is a result obtained after performing anomaly analysis on the third device to be determined.
The beneficial effects of the above technology are: the first industrial equipment is classified based on the finally determined project execution network and the corresponding management thread, and then the management thread is subjected to abnormity analysis according to the limit rules corresponding to different conditions, so that a corresponding analysis result is obtained, the damage and the fault of the industrial equipment in the project execution process are reduced, the management cost is reduced, and the management efficiency is improved.
Example 8:
on the basis of embodiment 7, the secondary management module, with reference to fig. 8, includes:
the request generating unit is used for generating a corresponding correction request based on the analysis result when the analysis result indicates that the management thread is abnormal;
a feedback receiving unit, configured to receive request feedback input by a user based on the correction request;
the secondary management unit is used for carrying out secondary management on the corresponding industrial equipment based on the request feedback, recording and obtaining a corresponding final management thread, and updating the final management thread into a management record;
wherein the requesting feedback comprises: correcting the execution items and correcting the inspection items.
In this embodiment, the correction request is a request for requesting a user to correct the execution item or to correct the inspection item.
In this embodiment, the requested feedback is feedback received from the user based on the request for correction.
In this embodiment, the correction execution item is the to-be-executed correction rhizoma curcas.
In this embodiment, the modified polling item is the original polling item modified for the corresponding industrial device.
The beneficial effects of the above technology are: and when the analysis result is abnormal, sending a correction request to a user, receiving corresponding request feedback, and performing secondary management on the parameters of the industrial equipment based on the request feedback, so that the abnormal prevention of the industrial equipment and the comprehensive management of the basic parameters are realized.
Example 9:
on the basis of embodiment 8, the secondary management unit, referring to fig. 9, includes:
the information receiving subunit is used for receiving project correction information input by a user based on the request feedback when the request feedback is a correction execution project;
the plan generating subunit is used for generating a corresponding latest inspection maintenance plan based on abnormal equipment contained in the analysis result when the request feedback is the inspection item correction;
and the secondary management subunit is used for carrying out secondary management on the corresponding industrial equipment based on the project correction information or the latest inspection maintenance plan, recording and obtaining a corresponding final management thread, and updating the final management thread into a management record.
In this embodiment, the item correction information is correction information about an item to be executed.
In this embodiment, the abnormal device is the corresponding first industrial device that is determined by the management thread as having an abnormality in the analysis result.
In this embodiment, the latest inspection maintenance plan is a plan corresponding to the first industrial device for the latest inspection maintenance generated based on the abnormal device included in the analysis result.
The beneficial effects of the above technology are: when the management thread is judged to have the abnormality, the execution item correction is carried out based on the corresponding abnormal equipment, so that the maintenance of the industrial equipment is enhanced, and the fault damage condition of the industrial equipment is reduced.
Example 10:
on the basis of embodiment 9, the secondary management subunit, referring to fig. 10, includes:
a project correction subunit, configured to correct the to-be-executed project based on the project correction information and generate a corresponding latest execution project when the request feedback is a correction execution project;
the latest management subunit is used for carrying out secondary management on the corresponding industrial equipment contained in the equipment library based on the latest execution item, recording a corresponding final management thread, and updating the final management thread into a management record;
and the latest inspection sub-unit is used for setting corresponding basic parameters based on the latest inspection maintenance plan when the request feedback is the correction inspection maintenance item, recording the corresponding setting thread to obtain a corresponding final management thread, and updating the final management thread into a management record.
In this embodiment, the latest execution item is the latest to-be-executed item generated after the to-be-executed item is corrected based on the item correction information when the request feedback is the correction execution item.
In this embodiment, the basic parameter is, for example, a polling period.
The beneficial effects of the above technology are: when the management thread is judged to have the abnormality, the inspection item is corrected based on the corresponding abnormal equipment, so that the maintenance of the industrial equipment is enhanced, and the fault damage condition of the industrial equipment is reduced.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. An industrial equipment basic parameter management system based on a software as a service (SaaS) cloud platform is characterized by comprising:
the equipment import layer is used for updating the equipment import information to the equipment library in real time;
the SaaS cloud platform is used for managing the industrial equipment contained in the equipment library based on the to-be-executed items input by the user to obtain corresponding management threads;
and the management analysis layer is used for analyzing the management thread to obtain a corresponding analysis result, and performing secondary management on the corresponding industrial equipment based on the analysis result to obtain a corresponding final management thread.
2. The system according to claim 1, wherein the device import layer includes:
the information receiving module is used for receiving equipment import information input by a user in real time based on any communication terminal for building a preset server;
the summary table updating module is used for obtaining a latest industrial equipment summary table based on the equipment import information;
and the equipment library updating module is used for updating the latest industrial equipment summary table to the equipment library based on a preset network protocol.
3. The system according to claim 2, wherein the summary table updating module comprises:
the information analysis unit is used for analyzing the equipment import information to obtain an equipment number and an equipment type corresponding to the equipment to be imported;
the classification and summarization unit is used for classifying and summarizing all equipment numbers based on the equipment types to obtain an equipment list corresponding to each equipment type;
and the summary table updating unit is used for updating the equipment import information to the equipment list and then updating the equipment import information to obtain the latest industrial equipment summary table.
4. The system according to claim 3, wherein the SaaS cloud platform comprises:
the item receiving unit is used for receiving the item to be executed input by the user;
the equipment management unit is used for managing the corresponding industrial equipment contained in the equipment library based on the item to be executed;
and the thread recording unit is used for recording the corresponding management thread based on the to-be-executed item.
5. The industrial equipment basic parameter management system based on the SaaS cloud platform as claimed in claim 4, wherein the equipment management unit comprises:
the information analysis subunit is used for analyzing the item to be executed to obtain corresponding execution equipment information;
the equipment screening subunit is used for screening out corresponding first industrial equipment from the equipment library based on the execution equipment information;
the logic determination subunit is used for determining a corresponding execution plan based on the project to be executed and determining execution logic between the first industrial equipment based on the execution plan;
the equipment association subunit is used for carrying out logic association on the first industrial equipment based on the execution logic to obtain corresponding associated industrial equipment;
the equipment sorting subunit is used for sorting the associated industrial equipment based on the execution plan to obtain a project execution thread;
the network generation subunit is used for supplementing other first industrial equipment except the associated industrial equipment to the project execution thread based on the execution plan to obtain a corresponding primary project execution network;
the parameter giving subunit is used for giving a corresponding execution parameter change thread to corresponding first industrial equipment contained in the primary project execution network based on subtask information contained in the execution plan so as to obtain a corresponding secondary project execution network;
the length setting subunit is used for predicting the corresponding predicted execution time of each first industrial device contained in the secondary project execution network based on the subtask information, setting the network branch length of the secondary project execution network based on the predicted execution time and obtaining a corresponding tertiary project execution network;
and the thread extraction subunit is used for screening out the same first industrial equipment in the tertiary project execution network, extracting all the same first industrial equipment and network branches between all the same first industrial equipment and execution parameter change threads corresponding to the same first industrial equipment in the tertiary project execution network, and obtaining a management thread corresponding to the first industrial equipment.
6. The system according to claim 5, wherein the management analysis layer comprises:
the thread analysis module is used for carrying out exception analysis on the management thread to obtain a corresponding analysis result;
the thread updating module is used for updating the management thread into a management record when the analysis result indicates that the management thread is not abnormal;
and the secondary management module is used for carrying out secondary management on the corresponding industrial equipment based on the analysis result and obtaining a corresponding final management thread when the analysis result indicates that the management thread is abnormal.
7. The system according to claim 6, wherein the thread analysis module comprises:
a rule calling unit, configured to call out a restriction rule of the first industrial device in the device library;
the first analysis unit is used for analyzing the restriction rule to obtain a restriction device corresponding to the first industrial device and a corresponding association restriction rule;
a first judgment unit, configured to judge, based on a corresponding management thread, whether there is a first limitation device in the tertiary item execution network whose connection relationship satisfies a connection relationship included in a corresponding association limitation rule, and if yes, take the first limitation device and the first industrial device as a corresponding first device to be judged;
the second analysis unit is used for analyzing the sub-restriction rules to obtain a first execution parameter association restriction range corresponding to the first industrial equipment and a second execution parameter association restriction range corresponding to the corresponding restriction equipment;
a thread calling unit, configured to call out, based on the tertiary item execution network, a first execution parameter change thread corresponding to the first industrial device and a second execution parameter change thread corresponding to the first limiting device;
a second judging unit, configured to, when a first abnormal execution parameter exceeding a first execution parameter association limit range exists in the first execution parameter change thread or a second abnormal execution parameter exceeding a second execution parameter association limit range exists in the second execution parameter change thread, take a management thread corresponding to the first device to be judged as a corresponding first sub-analysis result, and otherwise, take a management thread corresponding to the first device to be judged as a corresponding first sub-analysis result if no abnormality exists;
a third determining unit, configured to determine whether a total number of identical first industrial devices included in the management thread is 1 when there is no first limitation device whose connection relationship satisfies a connection relationship included in a corresponding sub-limitation rule in the tertiary item execution network;
a third analyzing unit, configured to, when the total number of identical first industrial devices included in the management thread is 1, use a corresponding first industrial device as a second device to be determined, analyze a restriction rule corresponding to the second device to be determined to obtain a corresponding normal state restriction rule, and determine a normal state restriction range corresponding to the second device to be determined based on the normal state restriction rule;
a fourth judging unit, configured to fetch, based on the tertiary item execution network, a third execution parameter change thread corresponding to the second device to be judged, and judge whether a third abnormal execution parameter exceeding a corresponding normal state limit range exists in the third execution parameter change thread, if yes, taking that a management thread corresponding to the second device to be judged has an abnormality as a corresponding second sub-analysis result, otherwise, taking that a management thread corresponding to the second device to be judged has no abnormality as a corresponding second sub-analysis result;
a fourth analyzing unit, configured to, when the total number of the same first industrial devices included in the management thread is not 1, take the corresponding first industrial device as a corresponding third device to be determined, and analyze a restriction rule corresponding to the third device to be determined to obtain a corresponding reuse restriction rule;
the data determining unit is used for determining corresponding reuse prediction interval time and execution parameter interval difference based on the management thread corresponding to the third device to be judged;
a fifth judging unit, configured to judge whether the reuse prediction interval time and the execution parameter interval difference satisfy a corresponding reuse restriction rule, if yes, use as a corresponding third sub-analysis result that a management thread corresponding to a third device to be judged is not abnormal, otherwise, use as a corresponding third sub-analysis result that a management thread corresponding to a third device to be judged is abnormal;
wherein the analysis result comprises: a first sub-analysis result, a second sub-analysis result, and a third sub-analysis result.
8. The system according to claim 7, wherein the secondary management module comprises:
the request generating unit is used for generating a corresponding correction request based on the analysis result when the analysis result indicates that the management thread has the abnormality;
a feedback receiving unit, configured to receive request feedback input by a user based on the correction request;
the secondary management unit is used for carrying out secondary management on the corresponding industrial equipment based on the request feedback, recording and obtaining a corresponding final management thread, and updating the final management thread into a management record;
wherein the requesting feedback comprises: correcting the execution items and correcting the inspection items.
9. The system according to claim 8, wherein the secondary management unit comprises:
the information receiving subunit is used for receiving project correction information input by a user based on the request feedback when the request feedback is a correction execution project;
the plan generating subunit is used for generating a corresponding latest inspection maintenance plan based on abnormal equipment contained in the analysis result when the request feedback is the inspection item correction;
and the secondary management subunit is used for carrying out secondary management on the corresponding industrial equipment based on the project correction information or the latest inspection maintenance plan, recording and obtaining a corresponding final management thread, and updating the final management thread into a management record.
10. The system according to claim 9, wherein the secondary management subunit includes:
a project correction subunit, configured to correct the to-be-executed project based on the project correction information and generate a corresponding latest execution project when the request feedback is a correction execution project;
the latest management subunit is used for carrying out secondary management on the corresponding industrial equipment contained in the equipment library based on the latest execution item, recording a corresponding final management thread, and updating the final management thread into a management record;
and the latest inspection sub-unit is used for setting corresponding basic parameters based on the latest inspection maintenance plan when the request feedback is the correction inspection maintenance item, recording the corresponding setting thread to obtain a corresponding final management thread, and updating the final management thread into a management record.
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