CN111835585A - Inspection method and device for Internet of things equipment, computer equipment and storage medium - Google Patents
Inspection method and device for Internet of things equipment, computer equipment and storage medium Download PDFInfo
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- CN111835585A CN111835585A CN202010568174.3A CN202010568174A CN111835585A CN 111835585 A CN111835585 A CN 111835585A CN 202010568174 A CN202010568174 A CN 202010568174A CN 111835585 A CN111835585 A CN 111835585A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C3/00—Registering or indicating the condition or the working of machines or other apparatus, other than vehicles
- G07C3/08—Registering or indicating the production of the machine either with or without registering working or idle time
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5061—Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the interaction between service providers and their network customers, e.g. customer relationship management
- H04L41/5074—Handling of user complaints or trouble tickets
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Abstract
The application relates to a method and a device for polling Internet of things equipment, computer equipment and a storage medium. The method comprises the following steps: acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a task identifier; acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information; acquiring label information corresponding to the inspection equipment; matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment; matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment; generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection; and receiving the inspection result returned by the inspection personnel. By adopting the method, the accuracy of the inspection of the equipment of the Internet of things can be effectively improved.
Description
Technical Field
The application relates to the technical field of computers, in particular to a method and a device for polling Internet of things equipment, computer equipment and a storage medium.
Background
With the development of computer technology and the coming of the 5G era, the appearance of the Internet of things brings great convenience to modern life, and more enterprises can intelligently sense, identify and manage various devices and use processes on line by using an Internet of things platform. Because the internet of things industry equipment is various in types and protocols, when equipment inspection needs to be performed on the internet of things equipment of different enterprises, management personnel are generally required to manually input related inspection detail contents, for example, when inspection is performed on certain specific equipment, a worker is required to manually input information to be inspected through the management personnel, and the related inspection personnel are assigned to perform inspection on the equipment at irregular time.
Meanwhile, in the field of traditional internet of things, after all internet of things equipment are connected to a network, data are gathered to a central end for processing, a manager needs to manually configure routing inspection information of different internet of things equipment, a large amount of manpower and energy are needed to be spent to arrange configuration, especially, routing inspection personnel related to different organizations have different professional levels and professional directions, when the routing inspection personnel inspect different internet of things equipment by means of self experience, human errors easily occur, the routing inspection accuracy of the internet of things equipment is low, and targeted professional routing inspection cannot be provided.
Disclosure of Invention
Therefore, it is necessary to provide a method and an apparatus for routing inspection of an internet of things device, a computer device, and a storage medium, which can improve the accuracy of routing inspection of the internet of things device, in order to solve the above technical problems.
A method for polling Internet of things equipment comprises the following steps:
acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a task identifier;
acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information;
acquiring label information corresponding to the inspection equipment;
matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment;
matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment;
generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection;
and receiving the inspection result returned by the inspection personnel.
In one embodiment, after the obtaining of the configuration information corresponding to the task identifier, the method further includes:
issuing an instruction to corresponding inspection equipment according to the configuration information, and receiving operation data reported by the inspection equipment according to the issued instruction by using message queue;
inquiring whether the operating data reported by the inspection equipment exist in a message queue;
if the running data exists, the running data is verified, and a routing inspection result corresponding to the routing inspection equipment is generated;
otherwise, generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for manual inspection.
In one embodiment, the method further comprises:
acquiring organization mechanism information corresponding to the inspection task in the platform of the Internet of things;
reading role information in the organization information, selecting information corresponding to inspection personnel in the role information, and generating a corresponding sample set;
acquiring attribute information corresponding to the inspection personnel and generating a corresponding attribute set;
and inputting the sample set and the attribute set into a classification model to obtain role characteristic data corresponding to the inspection personnel.
In one embodiment, the matching the tag information with the internet of things role feature data includes:
constructing a corresponding dictionary string set according to the Internet of things role characteristic data;
acquiring character string information corresponding to the label information;
and searching a sub-string matched with the current character in the dictionary string set, and traversing and searching the sub-string in the mismatch pointer path corresponding to the current character until the root node stops.
In one embodiment, the traversing searching for a substring in a mismatch pointer path corresponding to the current character until the root node stops includes:
when the matching is successful, marking the information corresponding to the matched target character as the information of the inspection personnel to be recommended;
and returning the currently searched character string information when the matching fails, and searching other branches corresponding to the character string information by using the current node mismatch pointer for matching.
In one embodiment, after the polling task of the internet of things device is obtained, the method further includes:
when the polling time corresponding to the polling task is inquired to be less than the current system time, executing the polling task according to the preset polling time to obtain a corresponding polling result;
and calculating the execution time of the next period according to the inspection result, and creating an inspection task corresponding to the next period according to the execution time.
In one embodiment, the method further comprises:
when an inspection task corresponding to the next period is created, inquiring similar equipment information of the inspection equipment;
and acquiring key inspection item information and historical inspection personnel information corresponding to the similar equipment, and performing association setting on the key inspection item information, the historical inspection personnel information and the inspection task.
An inspection device of internet of things equipment, the device comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an inspection task of the Internet of things equipment, and the inspection task carries a task identifier; acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information; acquiring label information corresponding to the inspection equipment;
the matching module is used for matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment; matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment;
the inspection module is used for generating corresponding work order information according to the key inspection item information and sending the work order information to the inspection personnel for inspection;
and the receiving module is used for receiving the inspection result returned by the inspection personnel.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a task identifier;
acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information;
acquiring label information corresponding to the inspection equipment;
matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment;
matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment;
generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection;
and receiving the inspection result returned by the inspection personnel.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a task identifier;
acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information;
acquiring label information corresponding to the inspection equipment;
matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment;
matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment;
generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection;
and receiving the inspection result returned by the inspection personnel.
According to the method and device for polling the Internet of things equipment, the computer equipment and the storage medium, the polling task of the Internet of things equipment is obtained, and the polling task carries the task identifier. For the mode of patrolling and examining of thing networking device in the traditional thing networking field, through the configuration information that acquires the task sign correspondence, the configuration information includes equipment of patrolling and examining, patrols and examines time and patrol and examine information. And acquiring label information corresponding to the inspection equipment, and matching the label information with the role characteristic data of the Internet of things to obtain inspection personnel matched with the inspection equipment. And matching the label information with the historical inspection information to obtain key inspection item information matched with the inspection equipment. And generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection. And receiving the inspection result returned by the inspection personnel. Therefore, when a user needs to patrol and examine different types of Internet of things equipment, the user only needs to log in the Internet of things platform, a corresponding patrol and examine task is created through triggering operation, the Internet of things platform acquires label information corresponding to the patrol and examine equipment according to a task identifier carried in the patrol and examine task, the label information is matched with the Internet of things role characteristic data, and patrol and examine personnel matched with the patrol and examine equipment are obtained. Meanwhile, the label information is matched with the historical inspection information to obtain the key inspection item information matched with the inspection equipment, and the key inspection item information corresponding to the inspection equipment and professional inspection personnel are obtained through intelligent matching analysis, so that the inspection personnel can perform targeted professional inspection on different types of Internet of things equipment according to the key inspection item information, the problem that targeted professional inspection cannot be provided in a traditional mode is solved, human errors easily caused in manual operation are avoided, manual configuration operation by a manager is not needed repeatedly, pain points of the equipment can be targeted during inspection, the rational distribution of the professional inspection personnel is realized, and the accuracy of inspection on the Internet of things equipment is effectively improved.
Drawings
Fig. 1 is an application environment diagram of a polling method of an internet of things device in one embodiment;
fig. 2 is a schematic flow chart of a polling method of the internet of things device in one embodiment;
fig. 3 is a schematic flow chart illustrating a step of querying whether there is operation data reported by the inspection device in one embodiment;
FIG. 4 is a schematic flow chart illustrating a matching procedure of the tag information and the Internet of things role feature data in one embodiment;
fig. 5 is a block diagram of the inspection device of the internet of things device in one embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The inspection method for the Internet of things equipment can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. When the user terminal 102 logs in the internet of things platform, the user terminal 102 may create a polling task of the corresponding internet of things device through a triggering operation. The server 104 obtains an inspection task of the internet of things equipment created by the user terminal 102, wherein the inspection task carries a task identifier. The server 104 obtains configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information. The server 104 acquires label information corresponding to the inspection equipment, and the server 104 matches the label information with the role characteristic data of the internet of things to obtain inspection personnel matched with the inspection equipment. The server 104 matches the label information with the historical inspection information to obtain key inspection item information matched with the inspection equipment. The server 104 generates corresponding work order information according to the key inspection item information, the server 104 issues the work order information to the inspection personnel for inspection, and the server 104 receives an inspection result returned by the inspection personnel. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In an embodiment, as shown in fig. 2, a method for polling an internet of things device is provided, which is described by taking the method as an example applied to the server in fig. 1, and includes the following steps:
The terminal may communicate with the server over a network and remain online over a network communication connection. For example, different types of terminal devices may be transmitted using the operator-stable network after connecting to the wireless network or the local area network. The user can use different types of terminal equipment to log in the Internet of things platform, and when different users log in the Internet of things platform, the user can log in the corresponding Internet of things application interface through triggering operation, and products and Internet of things equipment in the Internet of things application interface are managed. The internet of things is an information bearing body such as the internet and a traditional telecommunication network, and all common objects capable of performing independent functions are enabled to realize an interconnected network. The Internet of things platform can provide real-time panoramic monitoring for all Internet of things devices on the platform, including panoramic monitoring of device temperature, humidity, on-off state and the like, and can also perform issuing operation of application for a certain classification, grouping or single device in batches, and enterprise tenants can perform intelligent sensing, identification and management on various devices and using processes on line by using the Internet of things platform. Different enterprise tenants can perform real-time statistical analysis on the equipment monitoring conditions in different scenes through the Internet of things platform, visually display analysis results, and intuitively and comprehensively control the operation conditions of all access equipment on the platform. For example, enterprise tenants of different types can log in a main page of the intelligent internet of things platform in an account password mode, the tenants can display information of the internet of things equipment through established internet of things applications, and the tenants can check the running state of any currently accessed internet of things equipment. The types of the different internet of things devices may include direct connection devices, gateway devices, and gateway sub-devices. Different tenants can create the Internet of things custom application corresponding to various scenes according to different business requirements of enterprises, and the Internet of things custom application can comprise scenic spot Internet of things application, station monitoring Internet of things application and the like. Specifically, the server can simultaneously acquire routing inspection tasks created by a plurality of different users, and the routing inspection tasks carry task identifiers. The inspection task can comprise inspection equipment information, inspection time information, inspection personnel information, inspection rules and the like. The polling task may further include dynamic attribute information of the device to be polled, service information of the device to be polled, polling rule information corresponding to the service of the device, and the like. For example, an administrator can add a new manual polling task by logging in a manual polling interface, and the new polling task may include a polling period and corresponding polling device information. The inspection content can include inspection products, inspection equipment, inspection of dynamic attributes of the products, inspection of service of the products, intelligent analysis, abnormal handling information and the like. For example, when an administrator of an enterprise tenant logs in a home page of the internet of things platform, the administrator of the enterprise tenant may log in an application of a specific scene based on the internet of things platform, and configure patrol information of the internet of things device in the application interface. The administrator may create the corresponding patrol task by a triggering operation, such as by clicking a create patrol task button.
And 204, acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information.
When a user logs in a main page of the platform of the internet of things, the user can log in an application interface of a specific scene through triggering operation, and after the user creates a corresponding inspection task through triggering operation in the application interface, the server acquires configuration information corresponding to the inspection task according to a task identifier in the inspection task. The configuration information may include inspection equipment, inspection time, and inspection information. Specifically, administrators of tenants of different enterprises can log in an application interface of a specific scene through triggering operation, and set routing inspection rules by clicking manual routing inspection in item columns. Different polling task configuration information can be set for different types of internet of things equipment, and the configuration information can comprise an access mode, a reporting period, polling rules and the like of the polling equipment. For example, the configuration information may be preset to perform polling on all polling devices of the same type, or randomly perform polling on some polling devices. The setting of the patrol content may include patrolling dynamic attributes of the device and patrolling product services. The server can generate corresponding manual inspection rules according to inspection item information and inspection equipment information selected by an administrator and recorded in the database. When the user starts the intelligent inspection task next time, and when the triggering condition of the inspection task is met, the server can automatically monitor according to the pre-generated manual inspection rule, generate corresponding work order data and distribute the work order data to the corresponding inspection personnel.
And step 206, acquiring label information corresponding to the inspection equipment.
And after the server acquires the configuration information corresponding to the task identifier, the server acquires label information corresponding to the inspection equipment in the inspection task. The label information is representative feature information extracted according to the fields of different types of internet of things equipment, related functional characteristics and the like. For example, after the server acquires the configuration information corresponding to the task identifier, the server may acquire tag information corresponding to the inspection device air conditioner 01 in the inspection task, that is, the server acquires that the tag information corresponding to the air conditioner 01 is the temperature adjustment device.
And 208, matching the label information with the role characteristic data of the Internet of things to obtain the inspection personnel matched with the inspection equipment.
After the server acquires the label information corresponding to the inspection equipment, the server matches the label information with the role characteristic data of the Internet of things to obtain inspection personnel matched with the inspection equipment. The Internet of things platform can establish corresponding tenant information according to different enterprise types, the data of the Internet of things among tenants are completely isolated, and the data of the Internet of things can comprise equipment data, work order data, organizational structure data and the like of the Internet of things. The system of the internet of things partitions a user management center and an application management center corresponding to the same tenant, and the user management center uses a set of unified organization, role information and user information, namely unified data of organization, role, user and the like, which can be shared by all departments in the same tenant. For example, the internet of things platform can create different types of tenants in a tenant management center interface through a super administrator. Each tenant, i.e., different enterprise or department, can create applications belonging to different roles and different scenarios under its own organizational framework. The application management center interface can display the currently created application information of the internet of things. Each internet of things application can support access of a plurality of different types of internet of things devices. The internet of things equipment can comprise home internet of things equipment, scenic spot internet of things equipment, vehicle internet of things equipment, office internet of things equipment and the like. The server may be different for the organizational structure created by each tenant, and a super administrator may perform a setting update operation by logging in a user management center interface, and may display role information corresponding to a user and associated application information in the user management center interface. The configuration information of the role of the internet of things can comprise various role types, such as different role information of the internet of things like a patrol inspector, an equipment manager and a secondary manager. For example, role information corresponding to a user with the user name of Zhang III is displayed in a user management center interface of a certain enterprise tenant as a patrol inspector, the organization to which the user name belongs is the Ministry of great popularity and tax, the application authority is Ministry of great popularity and fire prevention, and the application state is enabled. Specifically, the server may obtain configuration information of corresponding roles of the internet of things according to different user identifiers, that is, the server may extract, according to an association relationship between the configured user and the configured roles and between the configured roles and the configured applications, internet of things role feature data corresponding to different role information by using a classification algorithm. The role feature data may be feature information associated with role information extracted according to behavior appeal of different role information, for example, the server may extract features of the configuration information of the internet of things role by using a classification model, and extract keyword information in the configuration information of the internet of things. The server can screen the patrol inspection personnel information matched with the label information of the patrol inspection equipment from the obtained role characteristic data of the internet of things by using a multi-mode matching algorithm, and can screen historical patrol inspection records corresponding to patrol inspection personnel and professional information, working years, belonging technical industries and the like of the patrol inspection personnel.
And step 210, matching the label information with the historical inspection information to obtain key inspection item information matched with the inspection equipment.
After the server acquires the label information corresponding to the inspection equipment, the server matches the label information with the historical inspection information to obtain key inspection item information matched with the inspection equipment. The inspection information can include the running state of the inspection equipment, the dynamic attribute of the inspection equipment, the service of the inspection product and the like. Specifically, the server can input the label information and the historical inspection information into the classification model to obtain the key inspection item information matched with the inspection equipment. The server can select routing inspection information with more historical abnormal data corresponding to the current routing inspection equipment from the historical routing inspection information, namely routing inspection information which corresponds to the type of routing inspection equipment and needs to be monitored in a key mode. The server can automatically analyze the historical abnormal detection information to determine the key inspection item content matched with the current inspection equipment. For example, when the server detects that the historical abnormal data matched with the label information of the current inspection equipment is more, more important inspection items are set in association with the current inspection equipment; when the server detects that the historical abnormal data matched with the label information of the current inspection equipment is less, the system only needs to set the key inspection items in the inspection items.
And 212, generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection.
After the server obtains the key polling item information matched with the polling equipment, the server generates corresponding work order information according to the key polling item information, and sends the work order information to matched polling personnel for polling. The server can also automatically analyze the historical abnormal inspection item information to determine the key inspection items with result guiding relation with the historical abnormal inspection items, so that in the current equipment inspection, the server generates corresponding work order information according to the key inspection items with result guiding relation, and sends the work order information to the matched inspection personnel for inspection. For example, the abnormal temperature of a certain type of inspection equipment may cause the problem of abnormal line, and the like, so the server needs to perform manual inspection on the line corresponding to the type of inspection equipment at regular time.
And step 214, receiving the inspection result returned by the inspection personnel.
When the server generates corresponding work order information according to the key inspection item information, the work order information is issued to the inspection personnel for inspection, the inspection personnel manually inspects different Internet of things devices on the spot according to the received work order information, the key inspection item information inspected by the inspection personnel as required is used for inspecting the Internet of things devices, the analysis is carried out to obtain corresponding inspection results, and the inspection personnel reports the inspection results obtained by actual inspection to the Internet of things platform. And after receiving the inspection results returned by different inspection personnel, the server sets the inspection task of the next period according to the inspection results.
In this embodiment, through the task of patrolling and examining of obtaining thing networking device, carry the task sign in patrolling and examining the task. For the mode of patrolling and examining of thing networking device in the traditional thing networking field, through the configuration information that acquires the task sign correspondence, the configuration information includes equipment of patrolling and examining, patrols and examines time and patrol and examine information. And acquiring label information corresponding to the inspection equipment, and matching the label information with the role characteristic data of the Internet of things to obtain inspection personnel matched with the inspection equipment. And matching the label information with the historical inspection information to obtain key inspection item information matched with the inspection equipment. And generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection. And receiving the inspection result returned by the inspection personnel. Therefore, when a user needs to patrol and examine different types of Internet of things equipment, the user only needs to log in the Internet of things platform, a corresponding patrol and examine task is created through triggering operation, the Internet of things platform acquires label information corresponding to the patrol and examine equipment according to a task identifier carried in the patrol and examine task, the label information is matched with the Internet of things role characteristic data, and patrol and examine personnel matched with the patrol and examine equipment are obtained. Meanwhile, the label information is matched with the historical inspection information to obtain the key inspection item information matched with the inspection equipment, and the key inspection item information corresponding to the inspection equipment and professional inspection personnel are obtained through intelligent matching analysis, so that the inspection personnel can perform targeted professional inspection on different types of Internet of things equipment according to the key inspection item information, the problem that targeted professional inspection cannot be provided in a traditional mode is solved, human errors easily caused in manual operation are avoided, manual configuration operation by a manager is not needed repeatedly, pain points of the equipment can be targeted during inspection, the rational distribution of the professional inspection personnel is realized, and the accuracy of inspection on the Internet of things equipment is effectively improved.
In an embodiment, as shown in fig. 3, after the configuration information corresponding to the task identifier is obtained, the method further includes a step of querying whether there is running data reported by the inspection device, and specifically includes:
and 302, issuing an instruction to the corresponding inspection equipment according to the configuration information, and receiving the operation data reported by the inspection equipment according to the issued instruction by using the message queue.
And step 304, inquiring whether the running data reported by the inspection equipment exists in the message queue.
And 306, if the operation data exists, verifying the operation data to generate an inspection result corresponding to the inspection equipment.
And 308, otherwise, generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for manual inspection.
And after the server acquires the configuration information corresponding to the task identifier, the server issues an instruction to the corresponding inspection equipment according to the configuration information, and receives the operation data reported by the inspection equipment according to the issued instruction by using the message queue. And the server inquires whether the operation data reported by the inspection equipment exists or not from the message queue, and if so, the server verifies the operation data to generate an inspection result corresponding to the inspection equipment. Otherwise, the server generates corresponding work order information according to the key inspection item information, and issues the work order information to the inspection personnel for manual inspection. Specifically, after the server acquires the configuration information corresponding to the task identifier, the server may issue an instruction to the corresponding inspection device according to the inspection product information and the inspection rule in the configuration information. The server can keep a long connection state with a plurality of different types of Internet of things equipment by utilizing the message queue, and data transmission is carried out in a mode of subscribing and publishing messages. And reporting the corresponding operating data by different routing inspection equipment according to the received issuing instruction. The server can obtain the operation data reported by the inspection equipment according to the issued instruction from the message queue. The operation data of the inspection equipment can include the service time of the equipment, the online state of the equipment and other data. When the server inquires the running data reported by the current inspection equipment from the message queue, the server can verify the obtained running data according to the verification rule in the configuration information to generate an inspection result corresponding to the inspection equipment. For example, after the server acquires the running data reported by the current inspection equipment according to the issued instruction from the message queue, the server screens abnormal data from the running data, and matches the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment. In the tenant device creation phase, the server may set a corresponding device data check rule according to attribute information of the creation device and normal value range information of the attribute of the creation device. After the system finishes the polling task each time, the server calls the calculation module to count the information of the abnormal sending times of the polling equipment attribute, and the abnormal information and the corresponding equipment are set in an associated mode. The abnormal data is data that does not conform to the preset device data check rule, and may include device attribute abnormal data and device service state abnormal data. When the user starts the intelligent patrol task next time and meets the triggering condition of the patrol task, the server can automatically carry out intelligent patrol according to the preset patrol rule without starting manual patrol. When the server does not inquire the operation data reported by the current inspection equipment from the message queue, the server indicates that the inspection equipment is disconnected with the server and needs to carry out manual inspection to inspect the fault, the server generates corresponding work order information according to the key inspection item information and sends the work order information to the inspection personnel for manual inspection. Therefore, the Internet of things platform can provide professional routing inspection with pertinence according to different conditions of the Internet of things equipment, so that pain points of the equipment can be aimed at during routing inspection, and the accuracy of routing inspection of the Internet of things equipment is effectively improved.
In one embodiment, the method further includes a step of obtaining role feature data corresponding to the inspection personnel, and specifically includes:
and acquiring organization information corresponding to the patrol task in the platform of the Internet of things.
And reading role information in the organization information, selecting information corresponding to the inspection personnel in the role information, and generating a corresponding sample set.
And acquiring attribute information corresponding to the inspection personnel, and generating a corresponding attribute set.
And inputting the sample set and the attribute set into a classification model to obtain role characteristic data corresponding to the inspection personnel.
After the server acquires the label information corresponding to the inspection equipment, the server further acquires role characteristic data corresponding to the inspection personnel. Specifically, the server can acquire the organization information corresponding to the routing inspection task in the platform of the internet of things. And the server reads the role information in the information of different organizations, selects the information corresponding to the inspection personnel in the role information and generates a corresponding sample set. And the server acquires the attribute information corresponding to the inspection personnel and generates a corresponding attribute set. And the server inputs the sample set and the attribute set into the classification model to obtain role characteristic data corresponding to the inspection personnel. For example, the server may generate the corresponding intelligent patrol rules in advance according to historical patrol configuration data set by different tenant administrators. The ID3 algorithm is based on the speed of decrease of the entropy as the criterion for selecting the test attribute, that is, selecting the attribute with the highest information gain that has not been used for division at each node as the division criterion until the generated decision tree can perfectly classify the training samples. The server can select role configuration data which accord with intelligent inspection rules from tenant data which correspond to the inspection tasks as a sample set, train the sample set by using an ID3 algorithm, and output a corresponding decision tree, so that role characteristic data which accord with the inspection rules can be obtained. Therefore, the characteristic data of the inspectors are constructed by using a machine learning algorithm, the intelligent analysis label index is established, the inspectors corresponding to the automatic dynamic configuration of the different types of Internet of things equipment can be realized, and the reasonable distribution of professional inspectors is realized.
In one embodiment, as shown in fig. 4, the step of matching the tag information with the internet of things role feature data includes:
and 402, constructing a corresponding dictionary string set according to the role characteristic data of the Internet of things.
And 406, searching a sub-string matched with the current character in the dictionary string set, and traversing to search the sub-string in the mismatch pointer path corresponding to the current character until the root node stops.
After the server acquires the label information corresponding to the inspection equipment, the server matches the label information with the role characteristic data of the Internet of things. Specifically, the server constructs a corresponding dictionary string set according to the role characteristic data of the Internet of things, and the server acquires character string information corresponding to the label information. And the server searches the substring matched with the current character in the dictionary string set, and traverses the substring in the mismatch pointer path corresponding to the current character until the root node stops. The AC automata algorithm, namely the Aho-Corasick algorithm, belongs to a character string searching algorithm. The server can match the label information corresponding to the inspection equipment with the role characteristic data of the Internet of things by using an AC automaton algorithm. The server constructs a corresponding dictionary string set according to the existing Internet of things user image data in the system, and the dictionary string set can comprise image information of corresponding users under different enterprise tenants. Further, the server acquires the character string information corresponding to the label information of the inspection equipment according to a preset protocol, namely, the server converts the label information corresponding to the inspection equipment into the character string information. And the server searches the substrings matched with the current label information characters in the dictionary string set, and traverses the substrings in the mismatch pointer path corresponding to the current characters until the root node stops. Therefore, by establishing the intelligent analysis label index, the routing inspection personnel corresponding to the automatic dynamic matching of the different types of the Internet of things equipment can be realized, and the reasonable distribution of professional routing inspection personnel is realized, so that the accuracy of routing inspection of the Internet of things equipment is effectively improved.
In one embodiment, the step of traversing and searching substrings in a mismatch pointer path corresponding to a current character until a root node stops includes:
and when the matching is successful, marking the information corresponding to the matched target character as the information of the inspection personnel to be recommended.
And returning the currently searched character string information when the matching fails, and searching other branches corresponding to the character string information by using the current node mismatch pointer for matching.
And the server searches substrings matched with the current label information characters in the dictionary string set, searches the substrings in the mismatch pointer path corresponding to the current characters in a traversing manner, and marks the information corresponding to the matched target characters as the information of the inspection personnel to be recommended when the matching is successful. And when the matching fails, returning the currently searched character string information by the server, and searching other branches corresponding to the character string information by using the current node mismatch pointer for matching. That is, when the match fails, the server may continue the match using the kmp algorithm and the mismatch pointer until the target character is matched. The kmp algorithm is an improved string matching algorithm, and can use information after matching failure to reduce the matching times of the pattern string and the main string as much as possible to achieve the purpose of quick matching. Therefore, by utilizing the multi-mode matching algorithm, the inspection personnel corresponding to the automatic dynamic matching of the different types of the Internet of things equipment can be realized, and the reasonable distribution of professional inspection personnel is realized, so that the inspection accuracy of the Internet of things equipment is effectively improved.
In one embodiment, after the polling task of the internet of things device is obtained, the method further includes the step of calculating the execution time of the next period according to the polling result, and the method specifically includes:
and when the polling time corresponding to the polling task is less than the current system time, executing the polling task according to the preset polling time to obtain a corresponding polling result.
And calculating the execution time of the next period according to the inspection result, and creating an inspection task corresponding to the next period according to the execution time.
When a user logs in a main page of the Internet of things platform, the user can log in an application interface of a specific scene through trigger operation, and in the application interface, after the user creates an inspection task through trigger operation, the server can inquire whether a corresponding inspection cycle is a fixed value or not according to the inspection task. When the server inquires that the polling period corresponding to the current polling task is a fixed value, the server further inquires whether the polling personnel corresponding to the polling task is a fixed value. And if the server does not inquire that the polling period corresponding to the current polling task is a fixed value, the server waits for the user to issue corresponding polling time to the current polling task. When the server does not inquire that the patrol personnel corresponding to the patrol task is a fixed value, the server can automatically match the corresponding patrol personnel through a preset manual patrol rule to execute manual patrol operation. And when the server inquires that the polling personnel corresponding to the polling task is a fixed value, the server inquires whether the polling time corresponding to the polling task is greater than the current system time. And when the server inquires that the polling time corresponding to the polling task is less than the current system time, the server executes the polling task according to the preset polling time and generates a corresponding polling result. And the server calculates the execution time of the next period according to the inspection result, and establishes an inspection task corresponding to the next period according to the execution time. And when the server inquires that the inspection time corresponding to the inspection task is longer than the current system time, the server performs warehousing operation on the inspection task and waits for task scheduling of the next period. Therefore, inspection information corresponding to automatic dynamic configuration of different types of Internet of things equipment can be achieved, the operation flow of inspection of the Internet of things inspection equipment is greatly simplified, professional inspection with pertinence can be provided, and therefore the accuracy of inspection of the Internet of things equipment is effectively improved.
In one embodiment, the method further includes a step of querying information of similar devices to the inspection device, and specifically includes:
and when the routing inspection task corresponding to the next period is created, inquiring the similar equipment information of the routing inspection equipment.
And acquiring important polling item information and historical polling personnel information corresponding to the similar equipment, and performing associated setting on the important polling item information and the historical polling personnel information and the polling task.
When the server creates the inspection task corresponding to the next period according to the inspection result, the server can inquire the similar equipment information of the inspection equipment. The server acquires key inspection item information and historical inspection personnel information corresponding to the similar equipment, and the server performs associated setting on the key inspection item information and the historical inspection personnel information and the inspection task. For example, when the server queries that the device information similar to the current patrol device camera 01 is the device of which the device information in the organization is the camera 02. The server acquires the key patrol inspection item information and the historical patrol inspection personnel information corresponding to the camera 02 of the similar device, and the server performs associated setting on the key patrol inspection item information and the historical patrol inspection personnel information and the current patrol inspection task. Therefore, through intelligent analysis, the similar equipment is utilized to perform correlation operation, inspection personnel matched with the label information can be recommended to the inspection equipment quickly and accurately as candidates, and compared with selection from a pile of disordered inspection personnel information, the reasonable distribution of professional inspection personnel can be realized, so that the inspection accuracy of the internet of things equipment is effectively improved.
It should be understood that although the various steps in the flow charts of fig. 1-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-4 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 5, there is provided an inspection device for an internet of things device, including: an obtaining module 502, a matching module 504, a polling module 506 and a receiving module 508, wherein:
an obtaining module 502, configured to obtain an inspection task of the internet of things device, where the inspection task carries a task identifier; acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information; and acquiring label information corresponding to the inspection equipment.
The matching module 504 is used for matching the label information with the role characteristic data of the internet of things to obtain an inspection person matched with the inspection equipment; and matching the label information with the historical inspection information to obtain key inspection item information matched with the inspection equipment.
And the inspection module 506 is used for generating corresponding work order information according to the key inspection item information and sending the work order information to the inspection personnel for inspection.
And the receiving module 508 is used for receiving the inspection result returned by the inspection personnel.
In one embodiment, the apparatus further comprises: and (5) a query module.
The query module is used for issuing an instruction to the corresponding inspection equipment according to the configuration information and receiving the operation data reported by the inspection equipment according to the issued instruction by utilizing the message queue; inquiring whether the running data reported by the inspection equipment exists in the message queue; if the operation data exists, the operation data is verified, and a routing inspection result corresponding to the routing inspection equipment is generated; otherwise, generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for manual inspection.
In one embodiment, the obtaining module is further configured to obtain organization information corresponding to the inspection task in the platform of the internet of things, read role information in the organization information, select information corresponding to the inspection staff in the role information, and generate a corresponding sample set. Acquiring attribute information corresponding to the inspection personnel, generating a corresponding attribute set, and inputting the sample set and the attribute set into a classification model to obtain role characteristic data corresponding to the inspection personnel.
In one embodiment, the apparatus further comprises: and a searching module.
The searching module is used for constructing a corresponding dictionary string set according to the role characteristic data of the Internet of things, acquiring character string information corresponding to the label information, searching substrings matched with the current characters in the dictionary string set, and searching the substrings in the mismatch pointer path corresponding to the current characters in a traversing mode until the root node stops.
In one embodiment, the matching module is further used for marking the information corresponding to the matched target character as the information of the inspection personnel to be recommended when the matching is successful; and returning the currently searched character string information when the matching fails, and searching other branches corresponding to the character string information by using the current node mismatch pointer for matching.
In one embodiment, the apparatus further comprises: a module is created.
The creating module is used for executing the inspection task according to the preset inspection time when the inspection time corresponding to the inspection task is less than the current system time, and obtaining the corresponding inspection result. And calculating the execution time of the next period according to the inspection result, and creating an inspection task corresponding to the next period according to the execution time.
In one embodiment, the query module is further configured to query similar device information of the inspection device when the inspection task corresponding to the next cycle is created. And acquiring important polling item information and historical polling personnel information corresponding to the similar equipment, and performing associated setting on the important polling item information and the historical polling personnel information and the polling task.
For specific limitations of the inspection device for the internet of things equipment, reference may be made to the above limitations on the inspection method for the internet of things equipment, and details are not described here. All modules in the inspection device of the Internet of things equipment can be completely or partially realized through software, hardware and a combination of the software and the hardware. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing the routing inspection data of the Internet of things equipment. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to realize the inspection method of the Internet of things equipment.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the steps of the above-described method embodiments being implemented when the computer program is executed by the processor.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for polling Internet of things equipment comprises the following steps:
acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a task identifier;
acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information;
acquiring label information corresponding to the inspection equipment;
matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment;
matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment;
generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for inspection;
and receiving the inspection result returned by the inspection personnel.
2. The method according to claim 1, wherein after obtaining the configuration information corresponding to the task identifier, the method further comprises:
issuing an instruction to corresponding inspection equipment according to the configuration information, and receiving operation data reported by the inspection equipment according to the issued instruction by using message queue;
inquiring whether the operating data reported by the inspection equipment exist in a message queue;
if the running data exists, the running data is verified, and a routing inspection result corresponding to the routing inspection equipment is generated;
otherwise, generating corresponding work order information according to the key inspection item information, and issuing the work order information to the inspection personnel for manual inspection.
3. The method of claim 1, further comprising:
acquiring organization mechanism information corresponding to the inspection task in the platform of the Internet of things;
reading role information in the organization information, selecting information corresponding to inspection personnel in the role information, and generating a corresponding sample set;
acquiring attribute information corresponding to the inspection personnel and generating a corresponding attribute set;
and inputting the sample set and the attribute set into a classification model to obtain role characteristic data corresponding to the inspection personnel.
4. The method of claim 1, wherein matching the tag information with internet of things role feature data comprises:
constructing a corresponding dictionary string set according to the Internet of things role characteristic data;
acquiring character string information corresponding to the label information;
and searching a sub-string matched with the current character in the dictionary string set, and traversing and searching the sub-string in the mismatch pointer path corresponding to the current character until the root node stops.
5. The method of claim 4, wherein said traversing to find substrings in a path of a mismatch pointer corresponding to a current character until a root node stops comprises:
when the matching is successful, marking the information corresponding to the matched target character as the information of the inspection personnel to be recommended;
and returning the currently searched character string information when the matching fails, and searching other branches corresponding to the character string information by using the current node mismatch pointer for matching.
6. The method according to claim 1, wherein after the routing inspection task of the internet of things equipment is acquired, the method further comprises:
when the polling time corresponding to the polling task is inquired to be less than the current system time, executing the polling task according to the preset polling time to obtain a corresponding polling result;
and calculating the execution time of the next period according to the inspection result, and creating an inspection task corresponding to the next period according to the execution time.
7. The method of claim 6, further comprising:
when an inspection task corresponding to the next period is created, inquiring similar equipment information of the inspection equipment;
and acquiring key inspection item information and historical inspection personnel information corresponding to the similar equipment, and performing association setting on the key inspection item information, the historical inspection personnel information and the inspection task.
8. The utility model provides a tour inspection device of thing networking equipment, a characterized in that, the device includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring an inspection task of the Internet of things equipment, and the inspection task carries a task identifier; acquiring configuration information corresponding to the task identifier, wherein the configuration information comprises inspection equipment, inspection time and inspection information; acquiring label information corresponding to the inspection equipment;
the matching module is used for matching the label information with the role characteristic data of the Internet of things to obtain an inspection person matched with the inspection equipment; matching the label information with historical inspection information to obtain key inspection item information matched with the inspection equipment;
the inspection module is used for generating corresponding work order information according to the key inspection item information and sending the work order information to the inspection personnel for inspection;
and the receiving module is used for receiving the inspection result returned by the inspection personnel.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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