CN118297575A - Intelligent maintenance method and device for urban equipment based on Internet of things - Google Patents

Abstract

The invention discloses an intelligent maintenance method and device for urban equipment based on the Internet of things, comprising the following steps: acquiring equipment monitoring data of at least one intelligent equipment in a target area, determining equipment operation parameters of the intelligent equipment according to the equipment monitoring data of each intelligent equipment, judging whether the equipment operation parameters of the intelligent equipment meet preset equipment operation conditions, if not, determining the intelligent equipment as equipment to be maintained, generating target maintenance parameters of the equipment to be maintained according to the equipment monitoring data of the equipment to be maintained, and executing equipment maintenance operation matched with the target maintenance parameters of the equipment to be maintained on the equipment to be maintained. Therefore, the intelligent equipment in the city can be monitored in real time by implementing the method, the efficiency and the accuracy for maintaining the fault equipment in the city are improved, the rationality for allocating the maintenance resources is improved, and the experience and the comfort level of urban residents are improved.

Description

Intelligent maintenance method and device for urban equipment based on Internet of things

Technical Field

The invention relates to the technical field of equipment maintenance, in particular to an intelligent maintenance method and device for urban equipment based on the Internet of things.

Background

Along with the development of science and technology, the development level of society and the development level of life quality of people are also increasing, and smart cities are also developing gradually. With the construction of urban infrastructure and the development of smart cities, effective security protection of smart devices installed in cities is required. At present, the monitoring method for intelligent equipment in a city is generally implemented by manual inspection, and when the fault equipment is found, equipment management personnel execute corresponding maintenance operation on the fault equipment based on the content of the work order in a mode of manually reporting the work order. However, the maintenance mode of the intelligent equipment in the city still depends on manual inspection, so that the problems of low maintenance efficiency and low maintenance accuracy of the equipment exist, and the living experience in urban residents can be directly influenced. It is important to provide a new device maintenance method to improve the efficiency of maintaining the faulty device and the accuracy of maintaining the faulty device, so as to improve the experience of urban residents.

Disclosure of Invention

The invention aims to solve the technical problem of providing the intelligent maintenance method and the intelligent maintenance device for the urban equipment based on the Internet of things, which can realize real-time monitoring of the intelligent equipment in the city, are beneficial to improving the maintenance efficiency and accuracy of the fault equipment in the city, are beneficial to improving the rationality of allocating maintenance resources, and are further beneficial to improving the experience and comfort of urban residents.

In order to solve the technical problems, the first aspect of the invention discloses an intelligent maintenance method for urban equipment based on the Internet of things, which comprises the following steps:

Acquiring device monitoring data of at least one intelligent device in a target area, wherein the device monitoring data comprises one or more of device real-time operation data of each intelligent device, device historical operation data of each intelligent device and device operation loss data of each intelligent device;

For each intelligent device, determining the device operation parameters of the intelligent device according to the device monitoring data of the intelligent device, and judging whether the device operation parameters of the intelligent device meet preset device operation conditions;

for each intelligent device, when judging that the device operation parameters of the intelligent device do not meet the preset device operation conditions, determining the intelligent device as a device to be maintained;

and for each device to be maintained, generating a target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained, and executing device maintenance operation matched with the target maintenance parameter of the device to be maintained on the device to be maintained.

As an optional implementation manner, in the first aspect of the present invention, before the generating, for each device to be maintained, a target maintenance parameter of the device to be maintained according to device monitoring data of the device to be maintained, the method further includes:

Determining a device monitoring data set, wherein the device monitoring data set comprises device monitoring data of all intelligent devices included in the target area;

For each device to be maintained, determining maintenance reference parameters of the device to be maintained according to the device monitoring data of the device to be maintained and the device monitoring data set;

Wherein, for each device to be maintained, generating a target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained, including:

and for each device to be maintained, generating target maintenance parameters of the device to be maintained according to the device monitoring data of the device to be maintained and the maintenance reference parameters of the device to be maintained.

As an alternative embodiment, in the first aspect of the present invention, the method further includes:

determining data source information of device monitoring data of each intelligent device;

For each intelligent device, determining the data source attribute of the intelligent device according to the data source information of the intelligent device;

generating device data acquisition attributes of the target area according to the data source attributes of all the intelligent devices;

Judging whether the equipment data acquisition attribute meets a preset data acquisition condition or not;

when the equipment data acquisition attribute is judged to not meet the preset data acquisition condition, determining equipment data acquisition requirements based on the data acquisition condition;

and generating data acquisition update parameters according to the equipment data acquisition requirements, wherein the data acquisition update parameters are used for updating the acquisition mode of equipment monitoring data of each intelligent equipment in the target area.

As an optional implementation manner, in the first aspect of the present invention, before the generating the data acquisition update parameter according to the regional data acquisition requirement, the method further includes:

acquiring region construction requirement information of the target region, and generating region data acquisition requirements of the target region based on the region construction requirement information; the regional data acquisition requirements comprise one or more of data acquisition direction requirements of the target region and data acquisition mode requirements of the target region;

wherein, according to the equipment data acquisition requirement, generating data acquisition update parameters includes:

and generating data acquisition update parameters according to the equipment data acquisition requirements and the regional data acquisition requirements.

As an alternative embodiment, in the first aspect of the present invention, the method further includes:

For each intelligent device, determining the connection parameters of the intelligent device and the internet of things platform;

Generating a connection parameter set according to connection parameters of all the intelligent devices and the internet of things platform, wherein the device connection parameter set comprises connection parameters of all the intelligent devices and the internet of things platform;

Based on the connection parameter set, performing clustering operation on all intelligent devices to obtain device clustering results, and judging whether the Internet of things platform meets preset device connection conditions according to the device clustering results and the connection parameter set;

When the fact that the Internet of things platform does not meet the preset equipment connection conditions is judged, generating platform updating parameters according to the equipment clustering result and the connection parameter set, wherein the platform updating parameters are used for updating the equipment connection parameters of the Internet of things platform.

As an optional implementation manner, in the first aspect of the present invention, after the acquiring device monitoring data of at least one smart device in the target area, the method further includes:

Detecting data precision parameters of each device monitoring data, and generating device data precision parameters of all intelligent devices in the target area according to the data precision parameters of each device monitoring data;

calculating the data matching degree between the equipment data precision parameter and the Internet of things platform, and judging whether the data matching degree meets a preset matching condition or not;

And when the data matching degree is judged to not meet the preset matching condition, determining network updating parameters, wherein the network updating parameters are used for updating a network system corresponding to the Internet of things platform.

As an optional implementation manner, in the first aspect of the present invention, the generating, for each device to be maintained, a target maintenance parameter of the device to be maintained according to device monitoring data of the device to be maintained includes:

For each device to be maintained, determining target operation data of the device to be maintained, and determining at least one operation influence factor of the device to be maintained based on the target operation data of the device to be maintained and device monitoring data of the device to be maintained;

And for each device to be maintained, generating an operation influence reason of the device to be maintained according to all operation influence factors of the device to be maintained, and determining a target maintenance parameter matched with the operation influence reason of the device to be maintained based on the operation influence reason of the device to be maintained.

The invention discloses an intelligent maintenance device for urban equipment based on the Internet of things, which comprises:

the device monitoring system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring device monitoring data of at least one intelligent device in a target area, wherein the device monitoring data comprises one or more of device real-time operation data of each intelligent device, device historical operation data of each intelligent device and device operation loss data of each intelligent device;

the determining module is used for determining the equipment operation parameters of the intelligent equipment according to the equipment monitoring data of the intelligent equipment for each intelligent equipment;

The judging module is used for judging whether the equipment operation parameters of the intelligent equipment meet preset equipment operation conditions or not;

The determining module is further configured to determine, for each of the intelligent devices, the intelligent device as a device to be maintained when the judging module judges that the device operation parameter of the intelligent device does not meet the preset device operation condition;

The generating module is used for generating target maintenance parameters of the equipment to be maintained according to the equipment monitoring data of the equipment to be maintained for each piece of equipment to be maintained;

And the maintenance module is used for executing equipment maintenance operation matched with the target maintenance parameters of the equipment to be maintained on the equipment to be maintained.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to determine, before the generating module generates, for each device to be maintained, a target maintenance parameter of the device to be maintained according to device monitoring data of the device to be maintained, a device monitoring data set, where the device monitoring data set includes device monitoring data of all intelligent devices included in the target area;

The determining module is further configured to determine, for each device to be maintained, a maintenance reference parameter of the device to be maintained according to device monitoring data of the device to be maintained and the device monitoring data set;

The specific way of generating the target maintenance parameter of the equipment to be maintained according to the equipment monitoring data of the equipment to be maintained by the generating module for each equipment to be maintained comprises the following steps:

and for each device to be maintained, generating target maintenance parameters of the device to be maintained according to the device monitoring data of the device to be maintained and the maintenance reference parameters of the device to be maintained.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to determine data source information of device monitoring data of each of the smart devices; for each intelligent device, determining the data source attribute of the intelligent device according to the data source information of the intelligent device;

The generation module is further used for generating equipment data acquisition attributes of the target area according to the data source attributes of all the intelligent equipment;

the judging module is further used for judging whether the equipment data acquisition attribute meets a preset data acquisition condition;

the determining module is further configured to determine, when the judging module judges that the device data acquisition attribute does not meet the preset data acquisition condition, a device data acquisition requirement based on the data acquisition condition;

The generation module is further configured to generate a data acquisition update parameter according to the device data acquisition requirement, where the data acquisition update parameter is used to update an acquisition mode for acquiring device monitoring data of each intelligent device in the target area.

As an optional implementation manner, in the second aspect of the present invention, the obtaining module is further configured to obtain area construction requirement information of the target area before the generating module generates the data acquisition update parameter according to the area data acquisition requirement;

The generating module is further used for generating an area data acquisition requirement of the target area based on the area construction requirement information; the regional data acquisition requirements comprise one or more of data acquisition direction requirements of the target region and data acquisition mode requirements of the target region;

The specific mode of generating the data acquisition update parameters by the generation module according to the equipment data acquisition requirement comprises the following steps:

and generating data acquisition update parameters according to the equipment data acquisition requirements and the regional data acquisition requirements.

As an optional implementation manner, in the second aspect of the present invention, the determining module is further configured to determine, for each of the smart devices, a connection parameter of the smart device to the platform of the internet of things;

The generating module is further configured to generate a connection parameter set according to connection parameters of all the intelligent devices and the internet of things platform, where the connection parameter set includes connection parameters of all the intelligent devices and the internet of things platform;

the apparatus further comprises:

the clustering module is used for executing clustering operation on all the intelligent devices based on the connection parameter set to obtain device clustering results;

The judging module is further configured to judge whether the internet of things platform meets a preset device connection condition according to the device clustering result and the connection parameter set;

The generating module is further configured to generate a platform update parameter according to the device clustering result and the connection parameter set when the judging module judges that the internet of things platform does not meet the preset device connection condition, where the platform update parameter is used to update the device connection parameter of the internet of things platform.

As an alternative embodiment, in the second aspect of the present invention, the apparatus further includes:

The detection module is used for detecting the data precision parameter of each device monitoring data after the acquisition module acquires the device monitoring data of at least one intelligent device in the target area;

the generating module is further configured to generate device data precision parameters of all the intelligent devices in the target area according to the data precision parameters of each device monitoring data;

The calculation module is used for calculating the data matching degree between the equipment data precision parameter and the Internet of things platform;

the judging module is further used for judging whether the data matching degree meets a preset matching condition;

The determining module is further configured to determine a network update parameter when the judging module judges that the data matching degree does not meet a preset matching condition, where the network update parameter is used to update a network system corresponding to the internet of things platform.

In a second aspect of the present invention, as an optional implementation manner, the generating module, for each device to be maintained, generates, according to device monitoring data of the device to be maintained, a target maintenance parameter of the device to be maintained in a specific manner includes:

For each device to be maintained, determining target operation data of the device to be maintained, and determining at least one operation influence factor of the device to be maintained based on the target operation data of the device to be maintained and device monitoring data of the device to be maintained;

And for each device to be maintained, generating an operation influence reason of the device to be maintained according to all operation influence factors of the device to be maintained, and determining a target maintenance parameter matched with the operation influence reason of the device to be maintained based on the operation influence reason of the device to be maintained.

The third aspect of the invention discloses another intelligent maintenance device for urban equipment based on the Internet of things, which comprises:

A memory storing executable program code;

A processor coupled to the memory;

the processor calls the executable program codes stored in the memory to execute the intelligent maintenance method of the urban equipment based on the Internet of things, disclosed in the first aspect of the invention.

The fourth aspect of the present invention discloses a computer storage medium, where the computer storage medium stores computer instructions, where the computer instructions are used to execute the intelligent maintenance method for urban equipment based on the internet of things disclosed in the first aspect of the present invention when the computer instructions are called.

Compared with the prior art, the embodiment of the invention has the following beneficial effects:

In the embodiment of the invention, equipment monitoring data of at least one intelligent equipment in a target area is acquired, equipment operation parameters of the intelligent equipment are determined according to the equipment monitoring data of each intelligent equipment, whether the equipment operation parameters of the intelligent equipment meet preset equipment operation conditions or not is judged, if not, the intelligent equipment is determined to be equipment to be maintained, target maintenance parameters of the equipment to be maintained are generated according to the equipment monitoring data of the equipment to be maintained, and equipment maintenance operation matched with the target maintenance parameters of the equipment to be maintained is executed on the equipment to be maintained. Therefore, the intelligent equipment in the city can be monitored in real time by implementing the method, the efficiency and the accuracy for maintaining the fault equipment in the city are improved, the rationality for allocating the maintenance resources is improved, and the experience and the comfort level of urban residents are improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic flow chart of an intelligent maintenance method for urban equipment based on the internet of things, which is disclosed by the embodiment of the invention;

Fig. 2 is a schematic flow chart of another intelligent maintenance method for urban equipment based on the internet of things, which is disclosed in the embodiment of the invention;

Fig. 3 is a schematic structural diagram of an intelligent maintenance device for urban equipment based on the internet of things, which is disclosed in the embodiment of the invention;

Fig. 4 is a schematic structural diagram of another intelligent maintenance device for urban equipment based on the internet of things, which is disclosed in the embodiment of the invention;

Fig. 5 is a schematic structural diagram of an intelligent maintenance device for urban equipment based on the internet of things according to an embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

The invention discloses an intelligent maintenance method and device for urban equipment based on the Internet of things, which can realize real-time monitoring of intelligent equipment in a city, are beneficial to improving the maintenance efficiency and accuracy of fault equipment in the city, are beneficial to improving the rationality of allocating maintenance resources, and are further beneficial to improving the experience and comfort of urban residents. The following will describe in detail.

Example 1

Referring to fig. 1, fig. 1 is a schematic flow chart of an intelligent maintenance method for urban equipment based on the internet of things according to an embodiment of the present invention. The intelligent maintenance method of the urban equipment based on the internet of things described in fig. 1 can be applied to the intelligent maintenance device of the urban equipment based on the internet of things, wherein the intelligent maintenance device of the urban equipment based on the internet of things can be integrated in a cloud server or a local server, and the embodiment of the invention is not limited. As shown in fig. 1, the intelligent maintenance method for urban equipment based on the internet of things may include the following operations:

101. Device monitoring data of at least one intelligent device in the target area is obtained.

In the embodiment of the invention, the device monitoring data comprises one or more of device real-time operation data of each intelligent device, device historical operation data of each intelligent device and device operation loss data of each intelligent device.

In the embodiment of the present invention, the number of the intelligent devices may be one or more, and the embodiment of the present invention is not particularly limited. Further alternatively, the smart device may be all the smart devices installed in the target area. Further, the target area may be one or more of a street area, a market area, and the like, and embodiments of the present invention are not limited in detail.

In the embodiment of the present invention, optionally, the device monitoring data of at least one intelligent device in the target area may be obtained in real time, or may be obtained at fixed time according to a preset time period, or may be obtained when intelligent maintenance of the device is required.

In the embodiment of the present invention, optionally, the device real-time operation data of each intelligent device includes one or more of real-time operation power consumption data of the intelligent device, real-time operation state data of the intelligent device, real-time operation current data of the intelligent device, real-time operation voltage data of the intelligent device, and real-time operation power data of the intelligent device; the device history operation data of each intelligent device comprises one or more of device history operation time length data of the intelligent device, device history operation power data of the intelligent device and device history operation function data of the intelligent device; the equipment operation loss data of each intelligent equipment comprises one or more of equipment operation maintenance frequency data of the intelligent equipment, equipment operation maintenance duration data of the intelligent equipment and equipment operation loss degree data of the intelligent equipment.

102. For each intelligent device, determining the device operation parameters of the intelligent device according to the device monitoring data of the intelligent device, and judging whether the device operation parameters of the intelligent device meet preset device operation conditions.

In the embodiment of the present invention, optionally, the device operation parameter of each intelligent device includes one or more of a device operation duration parameter of the intelligent device, a device operation voltage parameter of the intelligent device, a device operation current parameter of the intelligent device, a device power parameter of the intelligent device, a device temperature parameter of the intelligent device, a device humidity parameter of the intelligent device, a device pressure parameter of the intelligent device, and a device load rate parameter of the intelligent device.

103. And for each intelligent device, when judging that the device operation parameters of the intelligent device do not meet the preset device operation conditions, determining the intelligent device as the device to be maintained.

In the embodiment of the present invention, further optionally, when it is determined that the device operation parameters of the intelligent device meet the preset device operation conditions, the process may be ended.

In the embodiment of the present invention, optionally, the number of devices to be maintained may be one or more, and the embodiment of the present invention is not limited specifically.

104. And for each device to be maintained, generating target maintenance parameters of the device to be maintained according to the device monitoring data of the device to be maintained, and executing device maintenance operation matched with the target maintenance parameters of the device to be maintained on the device to be maintained.

In the embodiment of the invention, optionally, each device to be maintained has a corresponding target maintenance parameter; further, the target maintenance parameters corresponding to different devices to be maintained may be the same or different, and the embodiment of the present invention is not specifically limited.

It can be seen that implementing the intelligent maintenance method for the urban equipment based on the internet of things described in fig. 1 can obtain the equipment monitoring data of at least one intelligent equipment in the target area and determine the equipment operation parameters of each intelligent equipment, determine whether the equipment operation parameters of each intelligent equipment meet the preset equipment operation conditions, if not, determine the intelligent equipment as equipment to be maintained, generate the target maintenance parameters according to the equipment monitoring data of each equipment to be maintained and execute the equipment maintenance operation matched with the target maintenance parameters on each equipment to be maintained, determine the equipment operation parameters according to the equipment monitoring data of each intelligent equipment, determine the accuracy and reliability of the equipment operation parameters of each intelligent equipment, and determine the intelligence and the efficiency of the equipment operation parameters of each intelligent equipment, thereby being beneficial to improving the accuracy and the reliability of determining whether the equipment operation parameters of each intelligent equipment meet the preset equipment operation conditions, generating the target maintenance parameters of each equipment to be maintained and executing the corresponding equipment maintenance operation, being beneficial to improving the accuracy and the reliability of the equipment to be maintained, being beneficial to improving the accuracy and the reliability of the urban equipment to be maintained, realizing the improvement of the accuracy and the comfort of the maintenance operation of all intelligent equipment in real-time and the urban equipment.

Example two

Referring to fig. 2, fig. 2 is a flow chart of another intelligent maintenance method for urban equipment based on the internet of things according to an embodiment of the present invention. The intelligent maintenance method of the urban equipment based on the internet of things described in fig. 2 can be applied to the intelligent maintenance device of the urban equipment based on the internet of things, wherein the intelligent maintenance device of the urban equipment based on the internet of things can be integrated in a cloud server or a local server, and the embodiment of the invention is not limited. As shown in fig. 2, the intelligent maintenance method for urban equipment based on the internet of things may include the following operations:

201. device monitoring data of at least one intelligent device in the target area is obtained.

202. For each intelligent device, determining the device operation parameters of the intelligent device according to the device monitoring data of the intelligent device, and judging whether the device operation parameters of the intelligent device meet preset device operation conditions.

203. And for each intelligent device, when judging that the device operation parameters of the intelligent device do not meet the preset device operation conditions, determining the intelligent device as the device to be maintained.

In the embodiment of the present invention, for the detailed descriptions of step 201 to step 203, please refer to other descriptions of step 101 to step 103 in the first embodiment, and the detailed description of the embodiment of the present invention is omitted.

204. A device monitoring data set is determined.

In an embodiment of the present invention, optionally, the device monitoring data set includes device monitoring data of all intelligent devices included in the target area.

In an embodiment of the present invention, optionally, the device monitoring data set may further include all device monitoring data of all intelligent devices included in the target area in a preset history period. Further, the preset history period may be 24 hours, 36 hours or one month, which is not limited in the embodiment of the present invention.

205. And for each device to be maintained, determining maintenance reference parameters of the device to be maintained according to the device monitoring data and the device monitoring data set of the device to be maintained.

In an embodiment of the present invention, optionally, for each device to be maintained, determining, according to the device monitoring data and the device monitoring data set of the device to be maintained, a maintenance reference parameter of the device to be maintained may include:

for each device to be maintained, determining comprehensive monitoring data of the device to be maintained according to the device monitoring data and the device monitoring data set of the device to be maintained, wherein the comprehensive monitoring data comprises all device monitoring data of the device to be maintained;

for each device to be maintained, determining equipment maintenance parameters matched with the comprehensive monitoring data of the device to be maintained from a predetermined equipment maintenance reference parameter set according to the comprehensive monitoring data of the device to be maintained, and determining the determined equipment maintenance parameters matched with the comprehensive monitoring data of the device to be maintained as maintenance reference parameters of the device to be maintained.

In an embodiment of the present invention, optionally, for each device to be maintained, determining, according to the comprehensive monitoring data of the device to be maintained, a device maintenance parameter matching with the comprehensive monitoring data of the device to be maintained in a predetermined device maintenance reference parameter set may include:

And for each device to be maintained, calculating the parameter matching degree between the comprehensive monitoring data of the device to be maintained and each device maintenance reference parameter included in the predetermined device maintenance reference parameter set according to the comprehensive monitoring data of the device to be maintained and the predetermined device maintenance reference parameter set, and determining the device maintenance reference parameter with the parameter matching degree greater than or equal to a preset matching degree threshold as the device maintenance parameter matched with the comprehensive monitoring data of the device to be maintained.

206. And for each device to be maintained, generating a target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained and the maintenance reference parameter of the device to be maintained, and executing device maintenance operation matched with the target maintenance parameter of the device to be maintained on the device to be maintained.

In an embodiment of the present invention, optionally, for each device to be maintained, generating the target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained and the maintenance reference parameter of the device to be maintained may include:

For each device to be maintained, determining first maintenance data based on device monitoring data of the device to be maintained, determining second maintenance data based on maintenance reference parameters of the device to be maintained, generating target maintenance data based on the first maintenance data and the second maintenance data, and determining target maintenance parameters of the device to be maintained based on the target maintenance data.

Therefore, implementing the intelligent maintenance method for the urban equipment based on the internet of things described in fig. 2 can determine the equipment monitoring data set and determine the maintenance reference parameters of each equipment to be maintained according to the equipment monitoring data of each equipment to be maintained and the equipment monitoring data set, and generate the target maintenance parameters according to the equipment monitoring data and the maintenance reference data of each equipment to be maintained, can jointly determine the maintenance reference parameters of each equipment to be maintained according to the equipment monitoring data and the equipment monitoring data set of each equipment to be maintained, can realize comprehensive determination of the maintenance reference parameters of each equipment to be maintained by multiple aspects of information, is beneficial to improving the accuracy and reliability of determining each maintenance reference parameter, and the intelligence and efficiency of determining each maintenance reference parameter, thereby being beneficial to improving the accuracy and reliability of generating the target maintenance parameters of the equipment to be maintained based on the equipment monitoring data and the maintenance reference data of each equipment to be maintained, being beneficial to improving the efficiency and the accuracy of maintaining fault equipment in cities, and not requiring to execute maintenance operations on all intelligent equipment, being beneficial to improving the rationality and comfort of allocation of urban resources, and being beneficial to residents.

In an alternative embodiment, the method further comprises:

determining data source information of device monitoring data of each intelligent device;

for each intelligent device, determining the data source attribute of the intelligent device according to the data source information of the intelligent device;

Generating device data acquisition attributes of the target area according to the data source attributes of all intelligent devices;

Judging whether the equipment data acquisition attribute meets a preset data acquisition condition or not;

When the equipment data acquisition attribute is judged to not meet the preset data acquisition condition, determining equipment data acquisition requirements based on the data acquisition condition;

And generating data acquisition updating parameters according to the equipment data acquisition requirements, wherein the data acquisition updating parameters are used for updating the acquisition mode of equipment monitoring data of each intelligent equipment in the acquisition target area.

In this optional embodiment, optionally, the data source information of the device monitoring data of each intelligent device includes one or more of data source device information, device source time information, device source communication mode information, and device source acquisition mode information.

In this optional embodiment, optionally, generating the device data collection attribute of the target area according to the data source attributes of all the intelligent devices may include:

Determining equipment data source information of a target area according to the data source attribute of all intelligent equipment, wherein the equipment data source information of the target area comprises one or more of data source mode information of all intelligent equipment in the target area, data source time information of all intelligent equipment in the target area, data acquisition equipment information of all intelligent equipment in the target area, acquisition time information of all intelligent equipment in the target area and acquisition time information of all intelligent equipment in the target area;

Determining equipment data acquisition attribute information of the target area according to the equipment data source information of the target area; the device data acquisition attribute information of the target area comprises one or more of device data acquisition mode information, device data acquisition quantity information, device data acquisition duration information and device data acquisition time information of the target area.

In this optional embodiment, further optionally, when it is determined that the device data acquisition attribute meets a preset data acquisition condition, the present procedure may be ended.

In this optional embodiment, optionally, determining the device data acquisition requirement based on the data acquisition condition may include:

and determining at least one equipment data acquisition requirement parameter in the target area based on the data acquisition conditions and the equipment data acquisition attribute of the target area, and determining equipment data acquisition requirements based on all the equipment data acquisition requirement parameters.

It can be seen that implementing this optional embodiment can confirm the data source information of the equipment monitoring data of every smart machine and confirm the data source attribute of every smart machine, generate the equipment data acquisition attribute of target area according to the data source attribute of all smart machines, judge whether equipment data acquisition attribute satisfies preset data acquisition condition, if not satisfy then confirm equipment data acquisition demand and further generate data acquisition update parameter based on data acquisition condition, equipment data acquisition attribute of target area can be combined with the data source attribute of smart machine, be favorable to improving the precision and the reliability of generating equipment data acquisition attribute, and can combine the equipment data acquisition attribute of all smart machines that include in the target area of various information comprehensive generation, be favorable to improving the precision and the reliability of confirming equipment data acquisition attribute, and be favorable to improving the intelligence and the efficiency of confirming equipment data acquisition attribute, thereby be favorable to improving the precision and the reliability of judging whether equipment data acquisition attribute satisfies data acquisition condition, and be favorable to improving the precision and the reliability of generating data acquisition update parameter under the condition of equipment data acquisition attribute, be favorable to improving the precision and the reliability of follow-up equipment data acquisition update parameter based on the accuracy and the reliability of all-on the information comprehensive equipment monitoring data acquisition attribute, be favorable to improving the accuracy and the reliability of the urban equipment and further improvement of the accuracy and the quality of the urban area, and further be favorable to improving the accuracy and the reliability of monitoring data acquisition of the urban equipment.

In another alternative embodiment, before generating the data acquisition update parameter according to the regional data acquisition requirement, the method further comprises:

Acquiring regional construction requirement information of a target region, and generating regional data acquisition requirements of the target region based on the regional construction requirement information; the regional data acquisition requirements comprise one or more of data acquisition direction requirements of a target region and data acquisition mode requirements of the target region;

wherein, according to equipment data acquisition demand, generate data acquisition update parameter, include:

And generating data acquisition update parameters according to the equipment data acquisition requirements and the regional data acquisition requirements.

In this optional embodiment, optionally, the area construction requirement information of the target area may be acquired in real time, or may be acquired at fixed time according to a preset time period, or may be acquired when device monitoring data of an intelligent device in the target area needs to be acquired.

In this optional embodiment, optionally, generating the area data acquisition requirement of the target area based on the area construction requirement information may include:

Determining equipment construction demand information of a target area based on the area construction demand information, wherein the equipment construction demand information comprises one or more of equipment construction quantity demand information of the target area, equipment construction data demand information of the target area, equipment construction position demand information of the target area and equipment construction type demand information of the target area;

generating the regional data acquisition requirement of the target region according to the equipment construction requirement information of the target region.

In this optional embodiment, optionally, the data acquisition direction requirement information of the target area includes data requirement direction type information of the target area; the data acquisition mode demand information of the target area comprises one or more of data acquisition time demand information of the target area, data acquisition time demand information of the target area and data acquisition quantity demand information of the target area.

In this optional embodiment, optionally, generating the data acquisition update parameter according to the device data acquisition requirement and the area data acquisition requirement may include:

According to the equipment data acquisition requirement, a first acquisition requirement parameter is determined, a second acquisition requirement parameter is determined according to the regional data acquisition requirement, a parameter fusion operation is performed on the first acquisition requirement parameter and the second acquisition requirement parameter, an acquisition requirement fusion parameter is obtained, and a data acquisition update parameter is generated based on the acquisition requirement fusion parameter.

It can be seen that, implementing this optional embodiment can obtain the regional construction demand information of target area, and based on regional construction demand information generates the regional data acquisition demand of target area, generate data acquisition update parameter according to equipment data acquisition demand and regional data acquisition demand, can combine the regional construction demand information generation regional data acquisition demand of target area who obtains, be favorable to improving the precision and the reliability of generating regional data acquisition demand, and be favorable to improving the instantaneity and the timeliness of generating regional data acquisition demand, thereby be favorable to improving follow-up combination equipment acquisition demand and regional data acquisition demand and jointly generate the precision and the reliability of data acquisition update parameter, and be favorable to improving follow-up combination equipment acquisition demand and regional data acquisition demand and jointly generate the intelligence and the efficiency of data acquisition update parameter, and then be favorable to improving follow-up accuracy and the reliability of the collection mode of each intelligent device's equipment monitoring data in the target area based on data acquisition update parameter, further still be favorable to improving the success rate and the comprehensiveness of carrying out the collection to the equipment monitoring data of intelligent device, still be favorable to improving the efficiency and the sense of carrying out the city and the comfort of the improvement in city and the comfort of the city and the improvement.

In yet another alternative embodiment, the method further comprises:

For each intelligent device, determining the connection parameters of the intelligent device and the internet of things platform;

Generating a connection parameter set according to connection parameters of all intelligent devices and the internet of things platform, wherein the device connection parameter set comprises the connection parameters of all intelligent devices and the internet of things platform;

Based on the connection parameter set, performing clustering operation on all intelligent devices to obtain device clustering results, and judging whether the Internet of things platform meets preset device connection conditions according to the device clustering results and the connection parameter set;

When the fact that the Internet of things platform does not meet the preset equipment connection conditions is judged, generating platform updating parameters according to equipment clustering results and the connection parameter set, wherein the platform updating parameters are used for updating the equipment connection parameters of the Internet of things platform.

In this optional embodiment, optionally, the connection parameters of each intelligent device and the platform of the internet of things include one or more of a connection rate parameter, a connection mode parameter, and a connection duration parameter of the intelligent device and the platform of the internet of things.

In this optional embodiment, optionally, performing clustering operation on all intelligent devices based on the connection parameter set to obtain a device clustering result may include:

for each intelligent device, calculating the connection parameter matching degree between the intelligent device and each remaining intelligent device based on the connection parameter set to obtain the connection parameter matching degree set of the intelligent device, wherein the connection parameter matching degree set of each intelligent device comprises the connection parameter matching degree between the intelligent device and each remaining intelligent device;

Screening at least one target connection parameter matching degree of which the connection parameter matching degree is greater than or equal to a preset connection parameter matching threshold value from the connection parameter matching degree sets according to the connection parameter matching degree sets of each intelligent device;

And for each target connection parameter matching degree, determining all intelligent devices corresponding to the target connection parameter matching degree as a device sub-clustering result, and generating a device clustering result according to all the device sub-clustering results.

In this optional embodiment, optionally, determining, according to the device clustering result and the connection parameter set, whether the platform of the internet of things meets a preset device connection condition may include:

Determining platform communication parameters of the internet of things platform according to the device clustering result and the connection parameter set, wherein the platform communication parameters comprise one or more of communication rate parameters, communication quantity parameters, communication mode parameters and communication device parameters of the internet of things platform;

Calculating the communication difference degree between the platform communication parameters of the Internet of things platform and the preset equipment connection conditions, judging whether the communication difference degree is smaller than or equal to a preset difference degree threshold, determining that the Internet of things platform meets the preset equipment connection conditions when judging that the communication difference degree is smaller than or equal to the preset difference degree threshold, and determining that the Internet of things platform does not meet the preset equipment connection conditions when judging that the communication difference degree is larger than the preset difference degree threshold.

In this optional embodiment, further optionally, when it is determined that the platform of the internet of things meets a preset device connection condition, the process may be ended.

In this optional embodiment, optionally, the platform update parameter may include one or more of a networking connection parameter, a data transmission rate parameter, a data transmission number parameter, a data transmission duration parameter, and a data transmission rate parameter of the internet of things platform.

It can be seen that implementing the alternative embodiment can determine the connection parameters of each intelligent device and the platform of the internet of things and generate a connection parameter set according to the connection parameters of all intelligent devices and the platform of the internet of things, perform clustering operation on all intelligent devices based on the connection parameter set to obtain device clustering results and judge whether the platform of the internet of things meets preset device connection conditions, if not, generate platform updating parameters according to the device clustering results and the connection parameter set, generate a connection parameter set according to the connection parameters of each intelligent device and the platform of the internet of things and cluster all intelligent devices, thereby being beneficial to improving the accuracy and reliability of the device clustering results and the intelligence and efficiency of the device clustering results, thereby be favorable to improving follow-up based on equipment clustering result and connection parameter set and generate the precision and the reliability of platform update parameter to and be favorable to generating the intelligent and the efficiency of platform update parameter, and then be favorable to improving the efficiency and the intelligent of data transmission between thing networking platform and each intelligent device, and be favorable to improving the precision and the reliability of data transmission between thing networking platform and each intelligent device, further still be favorable to improving thing networking platform and each intelligent device and carry out communication connection's comprehensiveness and instantaneity, still be favorable to improving the success rate and the comprehensiveness of gathering the equipment monitoring data of intelligent device, still be favorable to improving the efficiency and the accuracy of maintaining the fault equipment in the city, and then be favorable to improving city resident's experience sense and comfort level.

In yet another alternative embodiment, after acquiring device monitoring data of at least one smart device within the target area, the method further comprises:

detecting data precision parameters of each device monitoring data, and generating device data precision parameters of all intelligent devices in a target area according to the data precision parameters of each device monitoring data;

Calculating the data matching degree between the data precision parameter of the equipment and the platform of the Internet of things, and judging whether the data matching degree meets a preset matching condition or not;

When the data matching degree is judged to not meet the preset matching condition, determining network updating parameters, wherein the network updating parameters are used for updating a network system corresponding to the Internet of things platform.

In this alternative embodiment, further optionally, the method may further include:

and executing updating operation on a network system corresponding to the Internet of things platform based on the network updating parameters, and retriggering and executing operation of acquiring the device monitoring data of at least one intelligent device in the target area.

In this alternative embodiment, further optionally, the method may further include:

when judging that the data matching degree meets the preset matching condition, triggering and executing the operation of judging whether the equipment operation parameters of the intelligent equipment meet the preset equipment operation condition or not according to the equipment monitoring data of the intelligent equipment for each intelligent equipment.

In this alternative embodiment, the device data accuracy parameter may optionally include a device accuracy average for all intelligent devices within the target area.

In this optional embodiment, optionally, the determining whether the data matching degree meets the preset matching condition may include:

judging whether the data matching degree is larger than or equal to a matching threshold value corresponding to a preset matching condition;

When the data matching degree is judged to be larger than or equal to a matching threshold value corresponding to a preset matching condition, determining that the data matching degree meets the preset matching condition;

When the data matching degree is judged to be smaller than the matching threshold value corresponding to the preset matching degree condition, determining that the data matching degree does not meet the preset matching condition.

In this alternative embodiment, the network update parameters may optionally include one or more of network architecture update parameters, network protocol update parameters, network configuration update parameters, and network address update parameters.

Therefore, implementing this optional embodiment can detect the data precision parameter of each device monitoring data and generate the device data precision parameter of all intelligent devices in the target area, calculate the data matching degree between the device precision parameter and the platform of the internet of things, and judge whether the data matching degree meets the preset matching condition, if not, determine the network updating parameter used for updating the network system corresponding to the platform of the internet of things, and can combine the data precision parameter of each device monitoring data to generate the device data precision parameter of all intelligent devices in the target area, thereby being beneficial to improving the precision and reliability of the device data precision parameter, and the precision and reliability of the device data precision parameter, thereby being beneficial to improving the precision and reliability of the follow-up judging whether the data matching degree meets the preset matching degree condition, further being beneficial to improving the precision and reliability of the network updating parameter when the data matching degree is not judged to meet the matching condition, and being beneficial to improving the intelligence and efficiency of the network updating parameter, and being beneficial to improving the success rate and the overall acquiring the device monitoring data of the intelligent device, and improving the urban fault feeling and comfort of the device in the city, and further being beneficial to improving the comfort of the urban situation.

In yet another alternative embodiment, for each device to be maintained, generating a target maintenance parameter for the device to be maintained from device monitoring data of the device to be maintained includes:

For each device to be maintained, determining target operation data of the device to be maintained, and determining at least one operation influence factor of the device to be maintained based on the target operation data of the device to be maintained and device monitoring data of the device to be maintained;

And for each device to be maintained, generating an operation influence reason of the device to be maintained according to all operation influence factors of the device to be maintained, and determining a target maintenance parameter matched with the operation influence reason of the device to be maintained based on the operation influence reason of the device to be maintained.

In this optional embodiment, optionally, the target operation data of each device to be maintained includes one or more of target operation current data of the device to be maintained, target operation voltage data of the device to be maintained, target operation power data of the device to be maintained, target operation energy consumption data of the device to be maintained, and target operation duration data of the device to be maintained.

In this optional embodiment, optionally, determining at least one operation impact factor of the device to be maintained based on the target operation data of the device to be maintained and the device monitoring data of the device to be maintained may include:

Determining target equipment operation parameters of the equipment to be maintained based on the target operation data of the equipment to be maintained and the equipment monitoring data of the equipment to be maintained, determining at least one target operation influence factor matched with the target equipment operation parameters from a predetermined operation influence factor set according to the target equipment operation parameters of the equipment to be maintained, and determining all the target operation influence factors as operation influence factors of the equipment to be maintained.

In this optional embodiment, optionally, for each device to be maintained, generating the cause of the operational influence of the device to be maintained according to all the operational influence factors of the device to be maintained may include:

for each device to be maintained, generating an influence factor keyword according to all operation influence factors of the device to be maintained, and generating an operation influence reason of the device to be maintained according to the influence factor keyword.

In this optional embodiment, optionally, determining, based on the cause of the operation influence of the device to be maintained, a target maintenance parameter that matches the cause of the operation influence of the device to be maintained may include:

Based on the operation influence reasons of the equipment to be maintained, extracting reason keywords, calculating the matching degree of the maintenance parameters between the reason keywords and each equipment maintenance parameter included in a predetermined equipment maintenance parameter library, and screening out target maintenance parameters with the matching degree of the maintenance parameters greater than or equal to a preset maintenance parameter matching threshold value from all the maintenance parameter matching degrees.

It can be seen that implementing this optional embodiment can determine the target operation data of each device to be maintained and determine at least one operation influence factor of each device to be maintained in combination with the device monitoring data of the devices to be maintained, generate operation influence reasons according to all operation influence factors of each device to be maintained, comprehensively generate operation influence factors of each device to be maintained in combination with the target operation data of each device to be maintained and the device monitoring data, facilitate to improve the accuracy and reliability of generating operation influence factors of each device to be maintained, and facilitate to improve the intelligence and efficiency of generating operation influence factors of each device to be maintained, thereby facilitating to improve the accuracy and reliability of determining operation influence factors and further determining target maintenance parameters based on all operation influence factors, enable to realize real-time monitoring on intelligent devices in cities, facilitate to improve the efficiency and accuracy of maintaining faulty devices in cities, and facilitate to improve the rationality of allocating maintenance resources without executing maintenance operations on all intelligent devices, and further facilitate to improve the sense and comfort of experience of city residents.

Example III

Referring to fig. 3, fig. 3 is a schematic structural diagram of an intelligent maintenance device for urban equipment based on the internet of things according to an embodiment of the present invention. As shown in fig. 3, the intelligent maintenance device for urban equipment based on the internet of things may include:

An obtaining module 301, configured to obtain device monitoring data of at least one intelligent device in the target area, where the device monitoring data includes one or more of device real-time operation data of each intelligent device, device historical operation data of each intelligent device, and device operation loss data of each intelligent device;

A determining module 302, configured to determine, for each intelligent device, a device operation parameter of the intelligent device according to device monitoring data of the intelligent device;

a judging module 303, configured to judge whether the device operation parameter of the intelligent device meets a preset device operation condition;

The determining module 302 is further configured to determine, for each intelligent device, the intelligent device as a device to be maintained when the determining module determines that the device operation parameter of the intelligent device does not meet a preset device operation condition;

a generating module 304, configured to generate, for each device to be maintained, a target maintenance parameter of the device to be maintained according to device monitoring data of the device to be maintained;

A maintenance module 305, configured to perform, on the device to be maintained, a device maintenance operation that matches a target maintenance parameter of the device to be maintained.

It can be seen that the device described in fig. 3 can acquire the device monitoring data of at least one intelligent device in the target area and determine the device operation parameters of each intelligent device, determine whether the device operation parameters of each intelligent device meet the preset device operation conditions, if not, determine the intelligent device as a device to be maintained, generate the target maintenance parameters according to the device monitoring data of each device to be maintained and execute the device maintenance operation matched with the target maintenance parameters on each device to be maintained, determine the device operation parameters in combination with the device monitoring data of each intelligent device, improve the accuracy and reliability of determining the device operation parameters of each intelligent device, and improve the intelligence and efficiency of determining the device operation parameters of each intelligent device, thereby being beneficial to improving the accuracy and reliability of determining whether the device operation parameters of each intelligent device meet the preset device operation conditions, improving the accuracy and reliability of generating the target maintenance parameters of each device to be maintained and executing the corresponding device maintenance operation, realizing the real-time monitoring operation on the devices in cities, improving the accuracy and reliability of the fault monitoring devices in the cities, and improving the comfort of the maintenance operation of all devices.

In an alternative embodiment, as shown in fig. 3, the determining module 302 is further configured to determine, before the generating module 304 generates, for each device to be maintained, a target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained, a device monitoring data set including device monitoring data of all intelligent devices included in the target area;

The determining module 302 is further configured to determine, for each device to be maintained, a maintenance reference parameter of the device to be maintained according to the device monitoring data and the device monitoring data set of the device to be maintained;

The specific manner of generating, by the generating module 304, the target maintenance parameter of each device to be maintained according to the device monitoring data of the device to be maintained includes:

and for each device to be maintained, generating target maintenance parameters of the device to be maintained according to the device monitoring data of the device to be maintained and the maintenance reference parameters of the device to be maintained.

It can be seen that implementing the apparatus described in fig. 3 can determine the device monitoring data set and determine the maintenance reference parameter of each device to be maintained according to the device monitoring data of each device to be maintained and the device monitoring data set, and generate the target maintenance parameter according to the device monitoring data and the maintenance reference data of each device to be maintained, determine the maintenance reference parameter of each device to be maintained in combination with the device monitoring data and the device monitoring data set of each device to be maintained, and implement comprehensive determination of the maintenance reference parameter of each device to be maintained, thereby being beneficial to improving the accuracy and reliability of determining each reference parameter to be maintained, and the intelligence and efficiency of determining each reference parameter to be maintained, thereby being beneficial to improving the accuracy and reliability of generating the target maintenance parameter of the device to be maintained based on the device monitoring data and the maintenance reference data of each device to be maintained, being beneficial to improving the efficiency and accuracy of maintaining fault devices in cities, not requiring to execute maintenance operations on all intelligent devices, being beneficial to improving the rationality of allocation of maintenance resources, and improving the comfort of residents.

In another alternative embodiment, as shown in fig. 3, the determining module 302 is further configured to determine data source information of the device monitoring data of each smart device; for each intelligent device, determining the data source attribute of the intelligent device according to the data source information of the intelligent device;

The generating module 304 is further configured to generate a device data acquisition attribute of the target area according to the data source attributes of all intelligent devices;

The judging module 303 is further configured to judge whether the device data acquisition attribute meets a preset data acquisition condition;

The determining module 302 is further configured to determine, when the determining module 303 determines that the device data acquisition attribute does not meet a preset data acquisition condition, a device data acquisition requirement based on the data acquisition condition;

the generating module 304 is further configured to generate data acquisition update parameters according to the device data acquisition requirements, where the data acquisition update parameters are used to update an acquisition mode of device monitoring data of each intelligent device in the acquisition target area.

It can be seen that implementing the apparatus described in fig. 3 is capable of determining data source information for device monitoring data for each smart device and determining data source attributes for each smart device, generating device data acquisition attributes of the target area according to the data source attributes of all intelligent devices, judging whether the device data acquisition attributes meet preset data acquisition conditions, if not, determining device data acquisition requirements based on the data acquisition conditions and further generating data acquisition update parameters, generating the device data acquisition attributes of the target area by combining the data source attributes of the intelligent devices, being beneficial to improving the accuracy and reliability of generating the device data acquisition attributes, and can comprehensively generate the equipment data acquisition attributes of all intelligent equipment included in the target area by combining various information, thereby being beneficial to improving the accuracy and reliability of determining the equipment data acquisition attributes and the intelligence and efficiency of determining the equipment data acquisition attributes, thereby being beneficial to improving the accuracy and the reliability of judging whether the data acquisition attribute of the equipment meets the data acquisition condition, and is beneficial to improving the accuracy and reliability of generating the data acquisition update parameters under the condition that the data acquisition attribute of the equipment does not meet the data acquisition condition, and then be favorable to improving follow-up accuracy and reliability based on the collection mode of the equipment monitoring data of each intelligent device in the data acquisition update parameter to the target area, further still be favorable to improving success rate and the comprehensiveness of gathering the equipment monitoring data of intelligent device, still be favorable to improving efficiency and the accuracy of maintaining the fault device in the city, and then be favorable to improving urban resident's experience sense and comfort level.

In yet another alternative embodiment, as shown in fig. 3, the obtaining module 301 is further configured to obtain the region construction requirement information of the target region before the generating module 304 generates the data acquisition update parameter according to the region data acquisition requirement;

the generating module 304 is further configured to generate an area data acquisition requirement of the target area based on the area construction requirement information; the regional data acquisition requirements comprise one or more of data acquisition direction requirements of a target region and data acquisition mode requirements of the target region;

the specific way of generating the data collection update parameter by the generating module 304 according to the device data collection requirement includes:

And generating data acquisition update parameters according to the equipment data acquisition requirements and the regional data acquisition requirements.

It can be seen that the device described in fig. 3 can acquire the regional construction requirement information of the target region, and generate the regional data acquisition requirement of the target region based on the regional construction requirement information, generate the data acquisition update parameter according to the equipment data acquisition requirement and the regional data acquisition requirement, and generate the regional data acquisition requirement according to the acquired regional construction requirement information of the target region, which is favorable for improving the accuracy and reliability of the generated regional data acquisition requirement, and is favorable for improving the instantaneity and timeliness of the generated regional data acquisition requirement, thereby being favorable for improving the accuracy and reliability of the data acquisition update parameter generated jointly by combining the equipment acquisition requirement and the regional data acquisition requirement, and further favorable for improving the intelligence and efficiency of the data acquisition update parameter generated jointly by combining the equipment acquisition requirement and the regional data acquisition requirement, further favorable for improving the accuracy and reliability of the acquisition mode of the equipment monitoring data of each intelligent equipment in the target region based on the data acquisition update parameter, and further favorable for improving the success rate and comprehensiveness of the equipment monitoring data acquisition of the intelligent equipment, and further favorable for improving the urban fault feeling experience and the comfort of residents.

In yet another alternative embodiment, as shown in fig. 4, the determining module 302 is further configured to determine, for each smart device, a connection parameter of the smart device to the platform of the internet of things;

The generating module 304 is further configured to generate a device connection parameter set according to connection parameters of all intelligent devices and the internet of things platform, where the device connection parameter set includes connection parameters of all intelligent devices and the internet of things platform;

the apparatus further comprises:

the clustering module 306 is configured to perform clustering operation on all intelligent devices based on the connection parameter set, so as to obtain a device clustering result;

the judging module 303 is further configured to judge, according to the device clustering result and the connection parameter set, whether the platform of the internet of things meets a preset device connection condition;

the generating module 304 is further configured to generate a platform update parameter according to the device clustering result and the connection parameter set when the judging module judges that the internet of things platform does not meet the preset device connection condition, where the platform update parameter is used to update the device connection parameter of the internet of things platform.

It can be seen that implementing the device described in fig. 4 can confirm the connection parameter of every intelligent device and the platform of the internet of things and generate a connection parameter set according to the connection parameter of all intelligent devices and the platform of the internet of things, perform clustering operation to all intelligent devices based on the connection parameter set to obtain device clustering results and judge whether the platform of the internet of things meets preset device connection conditions, if not, generate platform updating parameters according to the device clustering results and the connection parameter set, can combine the connection parameter set of every intelligent device and the platform of the internet of things to generate connection parameter sets and cluster all intelligent devices, thereby being favorable to improving the accuracy and reliability of the device clustering results, and the accuracy and the efficiency of generating platform updating parameters based on the device clustering results and the connection parameter set, further being favorable to improving the efficiency and the intelligence of data transmission between the platform of the internet of things and every intelligent device, further being favorable to improving the accuracy and the reliability of data transmission between the platform of the internet of things and the intelligent device, further being favorable to improving the accuracy and the reliability of the internet of things, further being favorable to the communication and the monitoring and further improving the reliability of the urban devices.

In yet another alternative embodiment, as shown in fig. 4, the apparatus further comprises:

a detection module 307, configured to detect a data precision parameter of each device monitoring data after the acquisition module acquires the device monitoring data of at least one intelligent device in the target area;

The generating module 304 is further configured to generate device data precision parameters of all intelligent devices in the target area according to the data precision parameters of the monitoring data of each device;

the calculating module 308 is configured to calculate a data matching degree between the device data precision parameter and the platform of the internet of things;

the judging module 303 is further configured to judge whether the data matching degree meets a preset matching condition;

The determining module 302 is further configured to determine a network update parameter when the judging module 303 judges that the data matching degree does not meet a preset matching condition, where the network update parameter is used to update a network system corresponding to the platform of the internet of things.

As can be seen, implementing the apparatus described in fig. 4 can detect the data precision parameters of each device monitoring data and generate the device data precision parameters of all intelligent devices in the target area, calculate the data matching degree between the device precision parameters and the platform of the internet of things, and determine whether the data matching degree meets the preset matching condition, if not, determine the network updating parameters of the network system corresponding to the platform of the internet of things, generate the device data precision parameters of all intelligent devices in the target area in combination with the data precision parameters of each device monitoring data, thereby being beneficial to improving the precision and reliability of the device data precision parameters, and the precision and reliability of the device data precision parameters, so as to be beneficial to improving the precision and reliability of the follow-up judging whether the data matching degree meets the preset matching degree condition, further being beneficial to improving the precision and reliability of the network updating parameters when the data matching degree is not met, and being beneficial to improving the intelligence and efficiency of the network updating parameters, and being beneficial to improving the success rate and the overall acquiring the device monitoring data of the intelligent devices, improving the urban efficiency, and being beneficial to improving the comfort of the urban fault feeling and the urban situation.

In yet another alternative embodiment, as shown in fig. 4, the generating module 304, for each device to be maintained, generates, according to the device monitoring data of the device to be maintained, the specific manner of generating the target maintenance parameter of the device to be maintained includes:

For each device to be maintained, determining target operation data of the device to be maintained, and determining at least one operation influence factor of the device to be maintained based on the target operation data of the device to be maintained and device monitoring data of the device to be maintained;

And for each device to be maintained, generating an operation influence reason of the device to be maintained according to all operation influence factors of the device to be maintained, and determining a target maintenance parameter matched with the operation influence reason of the device to be maintained based on the operation influence reason of the device to be maintained.

As can be seen, implementing the apparatus described in fig. 4 can determine the target operation data of each device to be maintained and determine at least one operation influence factor of each device to be maintained in combination with the device monitoring data of the device to be maintained, generate operation influence reasons according to all operation influence factors of each device to be maintained, comprehensively generate operation influence factors of each device to be maintained in combination with the target operation data of each device to be maintained and the device monitoring data, facilitate improving the accuracy and reliability of generating operation influence factors of each device to be maintained, and facilitate improving the intelligence and efficiency of generating operation influence factors of each device to be maintained, thereby facilitating improving the accuracy and reliability of determining operation influence factors and further determining target maintenance parameters based on all operation influence factors, realizing real-time monitoring on intelligent devices in cities, facilitating improving the efficiency and accuracy of maintaining fault devices in cities, and facilitating improving the rationality of allocating maintenance resources without executing maintenance operations on all intelligent devices, and facilitating improving the experience and comfort of residents in cities.

Example IV

Referring to fig. 5, fig. 5 is a schematic structural diagram of an intelligent maintenance device for urban equipment based on the internet of things according to an embodiment of the present invention. As shown in fig. 5, the intelligent maintenance device for urban equipment based on the internet of things may include:

a memory 401 storing executable program codes;

A processor 402 coupled with the memory 401;

the processor 402 invokes executable program codes stored in the memory 401 to execute steps in the intelligent maintenance method for urban equipment based on the internet of things described in the first embodiment or the second embodiment of the present invention.

Example five

The embodiment of the invention discloses a computer storage medium which stores computer instructions, wherein the computer instructions are used for executing the steps in the intelligent maintenance method of urban equipment based on the Internet of things described in the first embodiment or the second embodiment of the invention when the computer instructions are called.

Example six

An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the intelligent maintenance method for urban equipment based on the internet of things described in the first embodiment or the second embodiment.

The apparatus embodiments described above are merely illustrative, wherein the modules illustrated as separate components may or may not be physically separate, and the components shown as modules may or may not be physical, i.e., may be located in one place, or may be distributed over a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.

Finally, it should be noted that: the embodiment of the invention discloses an intelligent maintenance method and device for urban equipment based on the Internet of things, which are disclosed as preferred embodiments of the invention, and are only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. An intelligent maintenance method for urban equipment based on the Internet of things is characterized by comprising the following steps:

Acquiring device monitoring data of at least one intelligent device in a target area, wherein the device monitoring data comprises one or more of device real-time operation data of each intelligent device, device historical operation data of each intelligent device and device operation loss data of each intelligent device;

For each intelligent device, determining the device operation parameters of the intelligent device according to the device monitoring data of the intelligent device, and judging whether the device operation parameters of the intelligent device meet preset device operation conditions;

for each intelligent device, when judging that the device operation parameters of the intelligent device do not meet the preset device operation conditions, determining the intelligent device as a device to be maintained;

and for each device to be maintained, generating a target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained, and executing device maintenance operation matched with the target maintenance parameter of the device to be maintained on the device to be maintained.

2. The intelligent maintenance method for urban equipment based on the internet of things according to claim 1, wherein, for each equipment to be maintained, before generating the target maintenance parameter of the equipment to be maintained according to the equipment monitoring data of the equipment to be maintained, the method further comprises:

Determining a device monitoring data set, wherein the device monitoring data set comprises device monitoring data of all intelligent devices included in the target area;

For each device to be maintained, determining maintenance reference parameters of the device to be maintained according to the device monitoring data of the device to be maintained and the device monitoring data set;

Wherein, for each device to be maintained, generating a target maintenance parameter of the device to be maintained according to the device monitoring data of the device to be maintained, including:

and for each device to be maintained, generating target maintenance parameters of the device to be maintained according to the device monitoring data of the device to be maintained and the maintenance reference parameters of the device to be maintained.

3. The intelligent maintenance method for urban equipment based on the internet of things according to claim 1 or 2, wherein the method further comprises:

determining data source information of device monitoring data of each intelligent device;

For each intelligent device, determining the data source attribute of the intelligent device according to the data source information of the intelligent device;

generating device data acquisition attributes of the target area according to the data source attributes of all the intelligent devices;

Judging whether the equipment data acquisition attribute meets a preset data acquisition condition or not;

when the equipment data acquisition attribute is judged to not meet the preset data acquisition condition, determining equipment data acquisition requirements based on the data acquisition condition;

and generating data acquisition update parameters according to the equipment data acquisition requirements, wherein the data acquisition update parameters are used for updating the acquisition mode of equipment monitoring data of each intelligent equipment in the target area.

4. The intelligent maintenance method for urban equipment based on the internet of things according to claim 3, wherein before generating the data acquisition update parameter according to the regional data acquisition requirement, the method further comprises:

acquiring region construction requirement information of the target region, and generating region data acquisition requirements of the target region based on the region construction requirement information; the regional data acquisition requirements comprise one or more of data acquisition direction requirements of the target region and data acquisition mode requirements of the target region;

wherein, according to the equipment data acquisition requirement, generating data acquisition update parameters includes:

and generating data acquisition update parameters according to the equipment data acquisition requirements and the regional data acquisition requirements.

5. The intelligent maintenance method for urban equipment based on the internet of things according to claim 3, wherein the method further comprises:

For each intelligent device, determining the connection parameters of the intelligent device and the internet of things platform;

Generating a connection parameter set according to connection parameters of all the intelligent devices and the internet of things platform, wherein the device connection parameter set comprises connection parameters of all the intelligent devices and the internet of things platform;

Based on the connection parameter set, performing clustering operation on all intelligent devices to obtain device clustering results, and judging whether the Internet of things platform meets preset device connection conditions according to the device clustering results and the connection parameter set;

When the fact that the Internet of things platform does not meet the preset equipment connection conditions is judged, generating platform updating parameters according to the equipment clustering result and the connection parameter set, wherein the platform updating parameters are used for updating the equipment connection parameters of the Internet of things platform.

6. The intelligent maintenance method for urban equipment based on the internet of things according to claim 5, wherein after the acquiring the equipment monitoring data of at least one intelligent equipment in the target area, the method further comprises:

Detecting data precision parameters of each device monitoring data, and generating device data precision parameters of all intelligent devices in the target area according to the data precision parameters of each device monitoring data;

calculating the data matching degree between the equipment data precision parameter and the Internet of things platform, and judging whether the data matching degree meets a preset matching condition or not;

And when the data matching degree is judged to not meet the preset matching condition, determining network updating parameters, wherein the network updating parameters are used for updating a network system corresponding to the Internet of things platform.

7. The intelligent maintenance method of the urban equipment based on the internet of things according to claim 1, wherein the generating, for each of the to-be-maintained equipment, the target maintenance parameter of the to-be-maintained equipment according to the equipment monitoring data of the to-be-maintained equipment includes:

For each device to be maintained, determining target operation data of the device to be maintained, and determining at least one operation influence factor of the device to be maintained based on the target operation data of the device to be maintained and device monitoring data of the device to be maintained;

And for each device to be maintained, generating an operation influence reason of the device to be maintained according to all operation influence factors of the device to be maintained, and determining a target maintenance parameter matched with the operation influence reason of the device to be maintained based on the operation influence reason of the device to be maintained.

8. Urban equipment intelligent maintenance device based on thing networking, its characterized in that, the device includes:

the device monitoring system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring device monitoring data of at least one intelligent device in a target area, wherein the device monitoring data comprises one or more of device real-time operation data of each intelligent device, device historical operation data of each intelligent device and device operation loss data of each intelligent device;

the determining module is used for determining the equipment operation parameters of the intelligent equipment according to the equipment monitoring data of the intelligent equipment for each intelligent equipment;

The judging module is used for judging whether the equipment operation parameters of the intelligent equipment meet preset equipment operation conditions or not;

The determining module is further configured to determine, for each of the intelligent devices, the intelligent device as a device to be maintained when the judging module judges that the device operation parameter of the intelligent device does not meet the preset device operation condition;

The generating module is used for generating target maintenance parameters of the equipment to be maintained according to the equipment monitoring data of the equipment to be maintained for each piece of equipment to be maintained;

And the maintenance module is used for executing equipment maintenance operation matched with the target maintenance parameters of the equipment to be maintained on the equipment to be maintained.

9. Urban equipment intelligent maintenance device based on thing networking, its characterized in that, the device includes:

A memory storing executable program code;

A processor coupled to the memory;

the processor invokes the executable program code stored in the memory to perform the intelligent maintenance method for the urban equipment based on the internet of things as claimed in any one of claims 1 to 7.

10. A computer storage medium storing computer instructions for performing the internet of things-based intelligent maintenance method of urban equipment according to any one of claims 1-7 when invoked.