CN111835582A - Configuration method and device of Internet of things inspection equipment and computer equipment - Google Patents
Configuration method and device of Internet of things inspection equipment and computer equipment Download PDFInfo
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- CN111835582A CN111835582A CN202010566879.1A CN202010566879A CN111835582A CN 111835582 A CN111835582 A CN 111835582A CN 202010566879 A CN202010566879 A CN 202010566879A CN 111835582 A CN111835582 A CN 111835582A
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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
- 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
- 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
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
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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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- 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
Abstract
The application relates to a configuration method and device of an internet of things inspection device, a computer device 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 user identifier; acquiring corresponding equipment attribute information according to the user identification; reading routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring operation data reported by the routing inspection equipment according to the issued instruction; screening abnormal data from the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment; and generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result. By adopting the method, the configuration efficiency of the inspection 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 configuration method and device of an internet of things inspection device, a computer device 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 of various 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 parameters for configuration, for example, when inspection is performed on certain specific equipment, fixed code information needs to be configured on an inspection item of the specific equipment, and therefore a worker can inspect the inspection item corresponding to the equipment by manually inputting corresponding configuration parameters.
Meanwhile, in the field of the traditional internet of things, after all the internet of things devices are connected to the network, data are gathered to the central end for processing, an administrator needs to manually input corresponding inspection item information of different internet of things devices for configuration, a large amount of manpower and energy are needed to arrange configuration, especially, inspection devices of different types are complicated in configuration flow, input errors are easily caused by the manual input mode, repeated configuration operation is needed, and the configuration efficiency of the internet of things inspection devices is easily low.
Disclosure of Invention
Therefore, in order to solve the technical problems, it is necessary to provide a method and an apparatus for configuring an internet of things inspection device, a computer device, and a storage medium, which can improve the efficiency of configuring the internet of things inspection device.
A configuration method of an Internet of things inspection device comprises the following steps:
acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a user identifier;
acquiring corresponding equipment attribute information according to the user identification;
reading routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring operation data reported by the routing inspection equipment according to the issued instruction;
screening abnormal data from the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment;
and generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result.
In one embodiment, the issuing an instruction to the inspection equipment according to the inspection configuration information, and the acquiring the operation data reported by the inspection equipment according to the issued instruction includes:
creating a corresponding message according to the issuing instruction and sending the message to a message queue;
and receiving the operation data reported by the plurality of devices by using the message queue, and acquiring at least one operation data corresponding to the inspection device from the message queue.
In one embodiment, the matching the abnormal data with the historical data in the preset inspection configuration template includes:
acquiring a plurality of historical abnormal data and historical configuration data from a database;
training the plurality of historical abnormal data and the plurality of historical configuration data by using a classification model to obtain a trained classification model;
and inputting the abnormal data into the trained classification model to generate an inspection result corresponding to the inspection equipment.
In one embodiment, the method further comprises:
inputting the abnormal data into the trained classification model to generate weight proportion information matched with a plurality of historical configuration information;
selecting historical configuration information reaching a preset threshold value from the weight proportion information, and performing association setting of key routing inspection items by using the historical configuration information.
In one embodiment, the method further comprises:
when the polling time corresponding to the polling task is inquired to be less than the current system time, executing polling items corresponding to the polling time which is less than the current system time in the polling task to generate a corresponding polling result;
and calculating the execution time of the next period according to the inspection result, and generating key inspection item information corresponding to the next period.
In one embodiment, after generating the key inspection item information corresponding to the device attribute information according to the inspection result, the method further includes:
when the inspection result has an abnormal detection result, generating corresponding work order data;
matching the work order data with a plurality of polling personnel to obtain the polling personnel matched with the work order data;
and pushing the matched inspection personnel to the user corresponding to the inspection task.
A configuration device of internet of things inspection 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 user identifier; acquiring corresponding equipment attribute information according to the user identification;
the reading module is used for reading the routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to the corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring the operation data reported by the routing inspection equipment according to the issued instruction;
the matching module is used for screening abnormal data from the operating data, matching the abnormal data with historical data in a preset inspection configuration template, and obtaining an inspection result corresponding to the inspection equipment;
and the generating module is used for generating key inspection item information corresponding to the equipment attribute information according to the inspection result.
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 user identifier;
acquiring corresponding equipment attribute information according to the user identification;
reading routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring operation data reported by the routing inspection equipment according to the issued instruction;
screening abnormal data from the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment;
and generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result.
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 user identifier;
acquiring corresponding equipment attribute information according to the user identification;
reading routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring operation data reported by the routing inspection equipment according to the issued instruction;
screening abnormal data from the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment;
and generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result.
According to the configuration method and device of the Internet of things inspection equipment, the computer equipment and the storage medium, the inspection task of the Internet of things equipment is obtained, and the inspection task carries the user identification. Compared with the configuration mode of the routing inspection equipment in the field of the traditional Internet of things, the routing inspection equipment acquires the corresponding equipment attribute information according to the user identification, reads the routing inspection configuration information corresponding to the equipment attribute information, issues an instruction to the corresponding routing inspection equipment according to the routing inspection configuration information, and acquires the operation data reported by the routing inspection equipment according to the issued instruction. And screening abnormal data in the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment. And generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result. Therefore, when the user needs to patrol different types of Internet of things equipment, the user only needs to log in the Internet of things platform, the corresponding inspection task is created through triggering operation, the Internet of things platform acquires corresponding equipment attribute information according to the user identification carried in the inspection task, the inspection configuration information corresponding to the equipment attribute information is read, issuing an instruction to the corresponding inspection equipment according to the inspection configuration information, acquiring the operation data reported by the inspection equipment, obtaining an inspection result corresponding to the inspection equipment through intelligent matching analysis, namely, abnormal data in the operating data is matched with historical data in a preset routing inspection configuration template, the automatic dynamic configuration of the different types of the internet of things equipment can be correspondingly inspected, and the complex operation of inspecting fixed codes of the information configuration of each internet of things equipment in the traditional mode and the limitation that the equipment cannot be adapted to various types of equipment are avoided. Meanwhile, according to the routing inspection result corresponding to the routing inspection equipment, key routing inspection item information corresponding to the equipment attribute information is generated, automatic routing inspection item information for configuring different types of equipment can be configured, the complex flow of manual operation and the consumption of a large amount of time are avoided, human errors easily caused in manual operation are also avoided, repeated manual configuration operation is not needed, the operation flow of routing inspection equipment configuration of the Internet of things is greatly simplified, and therefore the configuration efficiency of the routing inspection equipment of the Internet of things is effectively improved.
Drawings
Fig. 1 is an application environment diagram of a configuration method of an internet of things inspection device in one embodiment;
fig. 2 is a schematic flow chart of a configuration method of the internet of things inspection equipment in one embodiment;
FIG. 3 is a flowchart illustrating the matching procedure of the anomaly data with historical data in the predetermined patrol configuration template in one embodiment;
FIG. 4 is a flowchart illustrating the steps of setting association of key routing inspection items using historical configuration information in another embodiment;
fig. 5 is a block diagram of a configuration device of the internet of things inspection equipment 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 configuration method of the Internet of things inspection 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 corresponding internet of things equipment inspection task through a triggering operation. The server 104 acquires an internet of things equipment inspection task created by the user terminal 102, wherein the inspection task carries a user identifier. The server 104 obtains corresponding device attribute information according to the user identifier. The server 104 reads the routing inspection configuration information corresponding to the equipment attribute information, and issues an instruction to the corresponding routing inspection equipment according to the routing inspection configuration information, and the server 104 acquires the operation data reported by the routing inspection equipment according to the issued instruction. The server 104 screens abnormal data in the operation data, and the server 104 matches the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment. The server 104 generates the key inspection item information corresponding to the equipment attribute information according to the inspection result. 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 configuration method of an internet of things inspection device is provided, which is described by taking the method applied to the server in fig. 1 as an example, 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 configuration management is carried out on products and Internet of things equipment in the Internet of things application interface. 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, different types of enterprise tenants can log in a specific intelligent internet of things platform main page 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. 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, wherein the routing inspection tasks carry user identifications, and the user identifications are used for identifying the identities of the users. The inspection task can comprise inspection equipment information, inspection time information, inspection personnel information, inspection rule information, inspection item information 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, the administrator can add a new intelligent patrol task by logging in the intelligent patrol interface, and the new patrol task can include a patrol period and corresponding patrol contents. 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. When a tenant needs to create a self-defined internet of things application according to a current specific scene, for example, the tenant needs to monitor and control street lamps in a certain scenic spot range in real time, the tenant can send a request for creating the scenic spot internet of things application to a super administrator of the internet of things platform, so that the server creates a corresponding scenic spot internet of things application according to the request of the tenant. In the main application page of the scenic spot Internet of things, a tenant administrator can select an intelligent equipment inspection button through a trigger operation point, a corresponding Internet of things equipment inspection task can be created, and the task enters a page for configuring inspection information of the scenic spot Internet of things equipment. For example, when an administrator of a certain tenant logs in the home page of the internet of things platform, the administrator of the tenant may log in an application of a specific scene based on the internet of things platform, and configure the internet of things device in the application interface. In the application configuration process, an administrator can send a polling task starting request to the server through a triggering operation, for example, by clicking a polling task starting button, so that the server starts the intelligent polling task of the device corresponding to the tenant specific scene application according to the received user request.
And step 204, acquiring corresponding equipment attribute information according to the user identification.
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 in the application interface, after the user creates a corresponding routing inspection task through triggering operation, the server acquires equipment attribute information corresponding to the routing inspection task according to a user identifier in the routing inspection task. 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. Different departments of the tenant can create the own application of the internet of things of the department on an application management center interface by logging in the management account. Namely, the application of the internet of things can be created by each department in a user-defined manner according to business requirements. 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. The super administrator can log in a certain application interface corresponding to the tenant through triggering operation, and classification entry columns such as corresponding product management, equipment management and equipment physical position can be displayed in the interface. For example, when creating a product in the application, an administrator may log in a product management interface in the entry column, and in the product management interface, the administrator may perform corresponding configuration information setting according to the currently accessed internet of things device, and the configuration information in the product management interface may include basic information, dynamic attributes, static attributes, and product service information of the product. In the product management interface, an administrator may set the static attribute of the newly added product device by clicking the static attribute, for example, the static attribute setting may include a static attribute name corresponding to the internet of things device, such as an installation height. Static attribute settings may also include static attribute identifiers, data types, units, value ranges, and the like. The dynamic attribute settings may include dynamic attribute names, such as presence status. The dynamic attribute setting may further include a dynamic attribute identifier, a data type, data requirement details, operation information, a read-write type, and the like. The corresponding product list can be displayed in the equipment management interface, and an administrator can set information such as equipment names, equipment identifiers, product models, physical positions, coordinate systems, longitude and latitude information, installation addresses and installation dates of the internet of things equipment. Meanwhile, the tenant can log in the equipment management interface to check information such as equipment information, real-time data, historical data, service call, file management, service logs and cleaning data. In the device physical location interface, an administrator can set physical location names, upper level physical locations, and physical location codes of different internet of things devices. Specifically, when different users log in a main page of the platform of the internet of things, the users log in an application interface of a specific scene through triggering operation, in the application interface, the users can create corresponding intelligent routing inspection tasks through the triggering operation, and the server acquires corresponding equipment attribute information according to user identifications in the intelligent routing inspection tasks. The device attribute information may include static attribute information and dynamic attribute information.
And step 206, reading the routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to the corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring the operation data reported by the routing inspection equipment according to the issued instruction.
And after the server acquires the corresponding equipment attribute information according to the user identification in the polling task, the server reads the polling configuration information corresponding to the equipment attribute information, issues an instruction to the corresponding polling equipment according to the polling configuration information, and acquires the operating data reported by the polling equipment according to the issued instruction. Wherein, the polling configuration information can comprise polling types, polling products, polling task states and the like. Specifically, the server may read routing inspection configuration information, such as routing inspection product information, corresponding to the device attribute information, and further, the server issues an instruction to the corresponding routing inspection device according to the routing inspection product information. The server can keep a long connection state with a plurality of different types of internet of things devices by utilizing a message queue, and data transmission is carried out in a mode of subscribing and publishing messages. 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. The user can wash the screening through the equipment data that equipment access layer obtained at present in equipment management interface, through clicking the washing data button, because sometimes equipment can produce some data that do not conform to normal rule (dirty data promptly), probably the equipment problem leads to itself, therefore the purpose of washing data is in order to filter dirty data fast, provides accurate effectual equipment operation data.
And 208, screening abnormal data in the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment.
The server sends an instruction to the corresponding inspection equipment according to the inspection configuration information, after the server obtains the operation data reported by the inspection equipment according to the instruction from the message queue, the server screens abnormal data from the operation 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 equipment creating stage, the server sets a corresponding equipment data verification rule according to attribute information of creating equipment and normal value range information of the attribute of the creating equipment. After the system finishes each inspection task, the server calls the calculation module to count the information of the abnormal sending times of the attributes of the inspection equipment, and the abnormal information and the corresponding equipment are set in an associated mode. When the next cycle of routing inspection equipment configuration is performed, the server can recommend and display the abnormal information or routing inspection item information associated with the routing inspection equipment as the key routing inspection item information. The server can extract the corresponding preset inspection configuration template according to the abnormal information of the inspection equipment, for example, after the inspection task is completed each time, the server can extract the corresponding preset inspection configuration template by counting the number of times of abnormal transmission of the attributes of the inspection equipment. 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. Specifically, the server screens abnormal data from the operating data, and the server can match the abnormal data with historical data in a preset inspection configuration template by using a pre-trained classification recognition model to obtain an inspection result corresponding to the inspection equipment. The inspection result can be displayed in a list mode according to the inspection result corresponding to each inspection item, and the administrator can select and execute corresponding operation according to the inspection result corresponding to each inspection item. The server can generate corresponding manual inspection rules according to the inspection items and the inspection equipment information selected by the 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 generate corresponding work order data according to the pre-generated manual inspection rule and distribute the work order data to the corresponding inspection personnel.
And step 210, generating key inspection item information corresponding to the equipment attribute information according to the inspection result.
And the server generates key polling item information corresponding to the equipment attribute information according to the polling result corresponding to the polling equipment. The important inspection item information can comprise inspection item information with more historical abnormal data corresponding to the inspection equipment, namely, inspection item information which corresponds to the inspection equipment of the type and needs important monitoring. The server can automatically analyze the historical abnormal detection result of the inspection equipment to determine the inspection item content corresponding to the current inspection equipment. For example, when the server detects that the historical abnormal data of the current routing inspection equipment is more, more routing inspection items are set for the current routing inspection equipment in an associated manner; when the server detects that the historical abnormal data of the current routing inspection equipment is less, the system only needs to set the key routing inspection items in the routing inspection equipment. Meanwhile, the server can also determine the routing inspection items with the result guiding relation with the historical abnormal routing inspection items by automatically analyzing the historical abnormal routing inspection items or the historical routing inspection templates, so that the routing inspection items with the result guiding relation are recommended to an administrator as key routing inspection items in the current equipment routing inspection. For example, the abnormal temperature of a certain type of inspection equipment may cause a problem of abnormal line, and the like, so the server needs to perform timed automatic inspection on the line corresponding to the type of inspection equipment.
In this embodiment, through the task of patrolling and examining of obtaining thing networking device, carry user identification in the task of patrolling and examining. Compared with the configuration mode of the routing inspection equipment in the field of the traditional Internet of things, the routing inspection equipment acquires the corresponding equipment attribute information according to the user identification, reads the routing inspection configuration information corresponding to the equipment attribute information, issues an instruction to the corresponding routing inspection equipment according to the routing inspection configuration information, and acquires the operation data reported by the routing inspection equipment according to the issued instruction. And screening abnormal data in the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment. And generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result. Therefore, when the user needs to patrol different types of Internet of things equipment, the user only needs to log in the Internet of things platform, the corresponding inspection task is created through triggering operation, the Internet of things platform acquires corresponding equipment attribute information according to the user identification carried in the inspection task, the inspection configuration information corresponding to the equipment attribute information is read, issuing an instruction to the corresponding inspection equipment according to the inspection configuration information, acquiring the operation data reported by the inspection equipment, obtaining an inspection result corresponding to the inspection equipment through intelligent matching analysis, namely, abnormal data in the operating data is matched with historical data in a preset routing inspection configuration template, the automatic dynamic configuration of the different types of the internet of things equipment can be correspondingly inspected, and the complex operation of inspecting fixed codes of the information configuration of each internet of things equipment in the traditional mode and the limitation that the equipment cannot be adapted to various types of equipment are avoided. Meanwhile, according to the routing inspection result corresponding to the routing inspection equipment, key routing inspection item information corresponding to the equipment attribute information is generated, automatic routing inspection item information for configuring different types of equipment can be configured, the complex flow of manual operation and the consumption of a large amount of time are avoided, human errors easily caused in manual operation are also avoided, repeated manual configuration operation is not needed, the operation flow of routing inspection equipment configuration of the Internet of things is greatly simplified, and therefore the configuration efficiency of the routing inspection equipment of the Internet of things is effectively improved.
In one embodiment, the step of issuing an instruction to the corresponding inspection equipment according to the inspection configuration information and acquiring the operation data reported by the inspection equipment according to the issued instruction comprises the following steps:
and creating a corresponding message according to the issued instruction and sending the message to a message queue.
And receiving the operation data reported by the plurality of devices by using the message queue, and acquiring at least one operation data corresponding to the inspection device from the message queue.
After the server acquires the equipment attribute information corresponding to the inspection task according to the user identification, the server reads the inspection configuration information corresponding to the equipment attribute information, issues an instruction to the corresponding inspection equipment according to the inspection configuration information, and acquires the operation data reported by the inspection equipment according to the issued instruction. Specifically, the server may maintain a long connection state with a plurality of different types of internet of things devices by using a message queue, and perform data transmission through a mode of subscribing to and publishing messages. The message queue is deployed on an Internet of things platform and mainly provides receiving and sending of messages, and when a large amount of task information is faced, the message queue can carry out peak clipping and valley leveling on the messages. The server can create corresponding messages according to the issued commands and send the messages to the message queue, different inspection equipment obtains the corresponding command messages from the message queue, and the inspection equipment reports the running data of the current equipment to the message queue according to the obtained command messages. The server obtains at least one piece of operation data corresponding to the current inspection equipment from the message queue. The server can also obtain the operation data of a plurality of current inspection devices at the same time. Therefore, all equipment modules of the Internet of things platform are mutually interacted in an information form, data are automatically analyzed, the operation is independent, the decoupling is high, a plurality of concurrent tasks of the inspection equipment can be simultaneously executed, the complicated flow of manual configuration operation is avoided, and the configuration efficiency of the inspection equipment of the Internet of things is effectively improved.
In one embodiment, as shown in fig. 3, the step of matching the abnormal data with the historical data in the preset inspection configuration template includes:
And 304, training the plurality of historical abnormal data and the plurality of historical configuration data by using the classification model to obtain the trained classification model.
And step 306, inputting the abnormal data into the trained classification model to generate an inspection result corresponding to the inspection equipment.
The server sends an instruction to the corresponding inspection equipment according to the inspection configuration information, after the server obtains the operation data reported by the inspection equipment according to the instruction from the message queue, the server screens abnormal data from the operation 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. Specifically, the server may obtain a plurality of historical anomaly data and historical configuration data from the database. And the server trains the plurality of historical abnormal data and the plurality of historical configuration data by using the classification model to obtain the trained classification model. Namely, the server can generate corresponding intelligent patrol rules according to historical patrol configuration data of different tenant administrators. The server can select historical configuration data which accords with the intelligent inspection rule from historical configuration data corresponding to a certain specific type of inspection equipment as a training set, and the training set of the historical configuration data is trained by using a classification recognition model to obtain a trained classification model which accords with the inspection rule. And the server inputs the abnormal data detected in the current inspection task into the trained classification model, and then generates an inspection result corresponding to the current inspection equipment. Therefore, the inspection model is built by using a machine learning algorithm, the intelligent analysis label index is built, inspection information corresponding to the automatic dynamic configuration of the different types of internet of things equipment can be achieved, the complex operation that fixed codes are configured for each piece of internet of things equipment in a traditional mode and the limitation that the equipment cannot be adapted to various types of equipment are avoided, meanwhile, manual configuration operation is not needed, the operation flow of the configuration of the internet of things inspection equipment is greatly simplified, and therefore the configuration efficiency of the internet of things inspection equipment is effectively improved.
In one embodiment, as shown in fig. 4, the method further includes a step of performing association setting of the key routing inspection item by using the historical configuration information, and specifically includes:
step 402, inputting abnormal data into the trained classification model, and generating weight proportion information matched with a plurality of historical configuration information.
And 404, selecting historical configuration information reaching a preset threshold value from the weight proportion information, and performing association setting on the key routing inspection item by using the historical configuration information.
And the server inputs the abnormal data into the trained classification model to generate a routing inspection result corresponding to the routing inspection equipment. Specifically, the server inputs the abnormal data into the trained classification model, and generates weight proportion information matched with the plurality of historical configuration information. For example, when the server performs polling on a polling task created by a secondary administrator with a user identification of great interest, the server inputs abnormal data of the current polling device as the camera 110 into the trained classification model, and then generates a plurality of pieces of historical configuration information matched with the camera 110, wherein when the weight ratio of a product service item, namely polling "camera rotation" matched with the camera 110 reaches a preset threshold value, the server performs association setting with the camera 110 of the internet of things by using the historical configuration information, namely, polling "camera rotation" as a key polling item. Therefore, when the server automatically carries out intelligent inspection according to a fixed period, the server can acquire the output parameters reported by the corresponding cameras, namely whether the output parameters successfully rotate or not, so that the cameras which cannot normally rotate are automatically analyzed, manual configuration operation is not needed, the operation flow of the inspection equipment for the Internet of things is greatly simplified, and the configuration efficiency of the inspection equipment for the Internet of things is effectively improved.
In one embodiment, when a user logs in a main page of an internet of things platform, the user can log in an application interface of a specific scene through triggering operation, and in the application interface, after the user creates an inspection task through triggering operation, a server can inquire whether a corresponding inspection period 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 the next 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 does not inquire that the inspection time corresponding to the inspection task is greater than the current system time, the server executes the inspection item corresponding to the inspection time which is less than the current system time in the inspection task and generates a corresponding inspection result. 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, routing inspection information corresponding to the automatic dynamic configuration of different types of Internet of things equipment can be realized.
In one embodiment, the method further includes a step of calculating the execution time of the next cycle according to the inspection result, and specifically includes:
and when the polling time corresponding to the polling task is less than the current system time, executing polling items corresponding to the polling time less than the current system time in the polling task, and generating corresponding polling results.
And calculating the next period of execution time according to the inspection result, and generating key inspection item information corresponding to the next period.
And when the server inquires that the polling time corresponding to the polling task is less than the current system time, the server executes polling items corresponding to the polling time less than the current system time in the polling task to generate a corresponding polling result. And the server calculates the next period of execution time according to the inspection result and generates key inspection item information corresponding to the next period. Therefore, inspection information corresponding to automatic dynamic configuration of different types of internet of things equipment can be achieved, tedious processes of manual operation are avoided, a large amount of time is consumed, the operation process of the configuration of the internet of things inspection equipment is greatly simplified, and therefore the configuration efficiency of the internet of things inspection equipment is effectively improved.
In one embodiment, after generating the key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result, the method further includes the step of pushing the matched routing inspection personnel to the user corresponding to the routing inspection task, and specifically includes:
and when the abnormal detection result exists in the inspection result, generating corresponding work order data.
And matching the work order data with a plurality of inspection personnel to obtain the inspection personnel matched with the work order data.
And pushing the matched polling personnel to the user corresponding to the polling task.
And when the server inquires that the routing inspection result has the abnormal detection result, the server generates corresponding work order data according to the abnormal detection result. And the server matches the work order data with a plurality of polling personnel to obtain the polling personnel matched with the work order data. And the server pushes the matched inspection personnel to the user corresponding to the inspection task. Therefore, the manual inspection rule is configured in the inspection equipment configuration information, so that a work order can be automatically generated at regular time for inspection personnel to inspect and handle, full-automatic intelligent inspection configuration is realized, the complex operation of manual configuration is avoided, and the accuracy of inspection configuration can be 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, a configuration device of an internet of things inspection device is provided, which includes: an obtaining module 502, a reading module 504, a matching module 506, and a generating 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 user identifier; and acquiring corresponding equipment attribute information according to the user identification.
The reading module 504 is configured to read the routing inspection configuration information corresponding to the device attribute information, issue an instruction to the corresponding routing inspection device according to the routing inspection configuration information, and obtain operation data reported by the routing inspection device according to the issued instruction.
And the matching module 506 is used for screening abnormal data from the operating data, matching the abnormal data with historical data in a preset inspection configuration template, and obtaining an inspection result corresponding to the inspection equipment.
And the generating module 508 is configured to generate key inspection item information corresponding to the equipment attribute information according to the inspection result.
In one embodiment, the apparatus further comprises: a module is created.
The creating module is used for creating a corresponding message according to the issued instruction and sending the message to the message queue; and receiving the operation data reported by the plurality of devices by using the message queue, and acquiring at least one operation data corresponding to the inspection device from the message queue.
In one embodiment, the apparatus further comprises: and a training module.
The training module is used for acquiring a plurality of historical abnormal data and historical configuration data from a database; training a plurality of historical abnormal data and a plurality of historical configuration data by using a classification model to obtain a trained classification model; the generation module is also used for inputting the abnormal data into the trained classification model and generating a routing inspection result corresponding to the routing inspection equipment.
In one embodiment, the apparatus further comprises: and selecting a module.
The selection module is used for inputting abnormal data into the trained classification model, generating weight proportion information matched with the plurality of historical configuration information, selecting the historical configuration information reaching a preset threshold value in the weight proportion information, and performing association setting of the key routing inspection item by using the historical configuration information.
In one embodiment, the apparatus further comprises: and a calculation module.
And the computing module is used for executing the inspection item corresponding to the inspection time less than the current system time in the inspection task when the inspection time corresponding to the inspection task is less than the current system time, and generating a corresponding inspection result. And calculating the next period of execution time according to the inspection result, and generating key inspection item information corresponding to the next period.
In one embodiment, the apparatus further comprises: and a pushing module.
The pushing module is used for generating corresponding work order data when the abnormal detection result exists in the inspection result. And matching the work order data with a plurality of routing inspection personnel to obtain the routing inspection personnel matched with the work order data, and pushing the matched routing inspection personnel to the user corresponding to the routing inspection task.
For specific limitations of the configuration device of the internet of things inspection equipment, reference may be made to the above limitations on the configuration method of the internet of things inspection equipment, and details are not described here. All modules in the configuration device of the Internet of things inspection 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 configuration data of the Internet of things inspection 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 a configuration method of the inspection equipment of the Internet of things.
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 configuration method of an Internet of things inspection device comprises the following steps:
acquiring an inspection task of the Internet of things equipment, wherein the inspection task carries a user identifier;
acquiring corresponding equipment attribute information according to the user identification;
reading routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring operation data reported by the routing inspection equipment according to the issued instruction;
screening abnormal data from the operating data, and matching the abnormal data with historical data in a preset inspection configuration template to obtain an inspection result corresponding to the inspection equipment;
and generating key routing inspection item information corresponding to the equipment attribute information according to the routing inspection result.
2. The method according to claim 1, wherein the issuing of the instruction to the corresponding inspection equipment according to the inspection configuration information and the obtaining of the operation data reported by the inspection equipment according to the issued instruction comprise:
creating a corresponding message according to the issuing instruction and sending the message to a message queue;
and receiving the operation data reported by the plurality of devices by using the message queue, and acquiring at least one operation data corresponding to the inspection device from the message queue.
3. The method of claim 1, wherein matching the anomaly data to historical data in a preset inspection configuration template comprises:
acquiring a plurality of historical abnormal data and historical configuration data from a database;
training the plurality of historical abnormal data and the plurality of historical configuration data by using a classification model to obtain a trained classification model;
and inputting the abnormal data into the trained classification model to generate an inspection result corresponding to the inspection equipment.
4. The method of claim 3, further comprising:
inputting the abnormal data into the trained classification model to generate weight proportion information matched with a plurality of historical configuration information;
selecting historical configuration information reaching a preset threshold value from the weight proportion information, and performing association setting of key routing inspection items by using the historical configuration information.
5. The method of claim 1, further comprising:
when the polling time corresponding to the polling task is inquired to be less than the current system time, executing polling items corresponding to the polling time which is less than the current system time in the polling task to generate a corresponding polling result;
and calculating the execution time of the next period according to the inspection result, and generating key inspection item information corresponding to the next period.
6. The method according to claim 1, wherein after generating the key inspection item information corresponding to the equipment attribute information according to the inspection result, the method further comprises:
when the inspection result has an abnormal detection result, generating corresponding work order data;
matching the work order data with a plurality of polling personnel to obtain the polling personnel matched with the work order data;
and pushing the matched inspection personnel to the user corresponding to the inspection task.
7. The utility model provides a configuration device of thing networking equipment of patrolling and examining, its 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 user identifier; acquiring corresponding equipment attribute information according to the user identification;
the reading module is used for reading the routing inspection configuration information corresponding to the equipment attribute information, issuing an instruction to the corresponding routing inspection equipment according to the routing inspection configuration information, and acquiring the operation data reported by the routing inspection equipment according to the issued instruction;
the matching module is used for screening abnormal data from the operating data, matching the abnormal data with historical data in a preset inspection configuration template, and obtaining an inspection result corresponding to the inspection equipment;
and the generating module is used for generating key inspection item information corresponding to the equipment attribute information according to the inspection result.
8. The configuration device of the internet of things inspection equipment according to claim 7, wherein the device further comprises:
the training module is used for acquiring a plurality of historical abnormal data and historical configuration data from a database; training the plurality of historical abnormal data and the plurality of historical configuration data by using a classification model to obtain a trained classification model; the generation module is also used for inputting the abnormal data into the trained classification model and generating an inspection result corresponding to the inspection equipment.
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 6 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 6.
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