CN109472372A - Resource data distribution method, device and computer equipment based on leased equipment - Google Patents
Resource data distribution method, device and computer equipment based on leased equipment Download PDFInfo
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Abstract
This application involves a kind of resource data distribution method, device and computer equipment based on leased equipment.Include: the information of lease for obtaining leased equipment, monitoring instruction is sent to leased equipment, so that leased equipment acquires equipment operating data according to predeterminated frequency；Receive the equipment operating data that leased equipment is uploaded according to predeterminated frequency；Preset device analysis model is obtained, device data and equipment operating data are analyzed by device analysis model, obtains analysis result；When in analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；Maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance terminal according to geographical location information, so that the maintenance terminal of preferential competition for orders obtains maintenance of equipment order；It receives the repair message that maintenance terminal is uploaded according to maintenance of equipment order and is stored.The allocative efficiency of mantenance data can be effectively improved, using this method to effectively improve leased equipment troubleshooting efficiency.
Description
Technical field
This application involves field of computer technology, more particularly to a kind of resource data distribution side based on leased equipment
Method, device and computer equipment.
Background technique
With economic sustainable development, financing rent industry also rapidly develops therewith, can be effective by financing lease
Alleviate Financing difficulty, and the allocative efficiency of lease resource can be effectively improved.To some manufacturing enterprises
Speech, relies primarily on various manufacturing equipment etc. and carrys out the corresponding product of output, to maintain to manufacture the running of enterprise, therefore it is right
The maintenance of leased equipment is extremely important.With the rapid development of technology of Internet of things, there is management and maintenance on some lines
Mode can be managed and be monitored by state of the inline system to leased equipment.
However in this traditional mode, it is managed simply by state of the inline system to leased equipment, works as management
Personnel detect that equipment notifies corresponding maintenance personal manually there are when failure, then by administrative staff to repair.And repair people
Member can not obtain the fault message of leased equipment in time, can not accurately and effectively repair to leased equipment, this side
Formula is lower to the Maintenance Resource allocative efficiency of leased equipment to be repaired, and then causes the troubleshooting efficiency of leased equipment lower.
Therefore, the Maintenance Resource allocative efficiency of leased equipment how is effectively improved to improve the troubleshooting efficiency of leased equipment, is become
The technical issues that need to address at present.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of mantenance data that can effectively improve leased equipment
Allocative efficiency, and then effectively improve leased equipment troubleshooting efficiency the resource data distribution method based on leased equipment,
Device and computer equipment.
A kind of resource data distribution method based on leased equipment, comprising:
The information of lease of leased equipment is obtained, the information of lease includes device data and geographical location information；
Monitoring instruction is sent to the leased equipment, so that the leased equipment, which acquires equipment according to predeterminated frequency, runs number
According to；
Receive the equipment operating data that the leased equipment is uploaded according to predeterminated frequency；
Obtain preset device analysis model, by the device analysis model to device data and equipment operating data into
Row analysis obtains analysis result；
When in the analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；
The maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance according to the geographical location information
Terminal, so that the maintenance terminal of preferential competition for orders obtains the maintenance of equipment order；
Receive the repair message that the maintenance terminal is uploaded according to the maintenance of equipment order, and to the repair message into
Row storage.
The device data includes device type in one of the embodiments, described to pass through the device analysis model
Device data and equipment operating data are analyzed, comprising: to the device data and the equipment operating data amount of progress
Change analysis；Corresponding quantized data is resolved to according to preset rules according to the device type；The quantized data is input to
In the device analysis model, the leased equipment is analyzed according to the quantized data by the analysis model, and
Obtain analysis result.
In one of the embodiments, before the preset device analysis model of acquisition, further includes: obtain multiple equipment
Data and equipment operating data；Big data analysis is carried out to multiple equipment data and equipment operating data, and to the number after analysis
According to feature selecting is carried out, the characteristic variable for reaching preset threshold is extracted；It is calculated according to the characteristic variable of the extraction corresponding
Basic parameter；Device analysis model is established according to predetermined manner according to the characteristic variable and corresponding basic parameter.
It include in one of the embodiments, host node in server and multiple from node, it is described according to the geographical position
The maintenance of equipment Order splitting to multiple maintenance sides is identified corresponding maintenance terminal by confidence breath, comprising: host node is to described
It is multiple to be polled from the present load weight of node, it is balanced to obtain each present load from node；According to each from node
Present load equilibrium multiple equipment maintenance order is distributed to corresponding from node, so that multiple set to multiple respectively from node
Standby maintenance order is handled；The corresponding multiple competition for orders requests of multiple thread receiving device maintenance orders are called from node, according to
The competition for orders time is ranked up multiple competition for orders request, obtains preferential competition for orders request；It is described to be asked from node according to the preferential competition for orders
Corresponding maintenance task is sought survival into, and the maintenance task is distributed to the preferential competition for orders and requests corresponding maintenance terminal.
The maintenance of equipment order includes class label in one of the embodiments, the method also includes: it obtains more
The user information and history mantenance data that a maintenance side identifies；Obtain preset disaggregated model, by the disaggregated model according to
User information and history mantenance data are classified to for maintenance user, and add corresponding class label to maintenance side's mark；
It is described according to the geographical location information that the maintenance of equipment Order splitting is corresponding to multiple maintenance sides mark
Maintenance terminal, comprising: according to the geographical location information and the class label by the maintenance of equipment Order splitting to multiple
Maintenance side identifies corresponding maintenance terminal.
The repair message that the maintenance terminal is sent according to the maintenance of equipment order is received in one of the embodiments,
Later, the method also includes: obtain preset evaluation model, the repair message evaluated by the evaluation model
Analysis obtains maintenance analysis result；Result is analyzed according to the maintenance to score to the repair message, obtains this maintenance
Scoring；Obtain user information, this maintenance scoring and history mantenance data that the maintenance side identifies；Obtain preset evaluation mould
Type, by the evaluation model according to the user information, this maintenance scoring and history mantenance data to maintenance side identify into
Row analysis, obtains corresponding customer analysis result；It is scored according to the customer analysis result maintenance side mark, and
The scoring is added in corresponding maintenance side's mark.
A kind of resource data distributor based on leased equipment, comprising:
Data acquisition module, for obtaining the information of lease of leased equipment, the information of lease includes device data and ground
Manage location information；
Monitoring of tools module, for sending monitoring instruction to the leased equipment, so that the leased equipment is according to default
Frequency collection equipment operating data；
The data acquisition module is also used to receive the equipment operating data that the leased equipment is uploaded according to predeterminated frequency；
Data analysis module, for obtaining preset device analysis model, by the device analysis model to number of devices
It is analyzed according to equipment operating data, obtains analysis result；
Order generation module, for when in the analysis result there are when equipment fault, it is raw according to corresponding fault message
Forming apparatus maintenance order；
Data allocation module, for according to the geographical location information by the maintenance of equipment Order splitting to multiple maintenances
Side identifies corresponding maintenance terminal, so that the maintenance terminal of preferential competition for orders obtains the maintenance of equipment order；
Data memory module, the repair message uploaded for receiving the maintenance terminal according to the maintenance of equipment order,
And the repair message is stored.
It include in one of the embodiments, host node and multiple from node in server, the data allocation module is also
It is polled, obtains each equal from the present load of node from the present load weight of node to the multiple for host node
Weighing apparatus；Multiple equipment maintenance order is distributed to corresponding from node, so that multiple according to each present load equilibrium from node
Multiple equipment maintenance order is handled respectively from node；Call multiple thread receiving device maintenance orders corresponding from node
Multiple competition for orders requests are ranked up multiple competition for orders request according to the competition for orders time, obtain preferential competition for orders request；It is described from node root
Corresponding maintenance task is generated according to the preferential competition for orders request, and the maintenance task is distributed to the preferential competition for orders request pair
The maintenance terminal answered.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
The information of lease of leased equipment is obtained, the information of lease includes device data and geographical location information；
Monitoring instruction is sent to the leased equipment, so that the leased equipment, which acquires equipment according to predeterminated frequency, runs number
According to；
Receive the equipment operating data that the leased equipment is uploaded according to predeterminated frequency；
Obtain preset device analysis model, by the device analysis model to device data and equipment operating data into
Row analysis obtains analysis result；
When in the analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；
The maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance according to the geographical location information
Terminal, so that the maintenance terminal of preferential competition for orders obtains the maintenance of equipment order；
Receive the repair message that the maintenance terminal is uploaded according to the maintenance of equipment order, and to the repair message into
Row storage.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
The information of lease of leased equipment is obtained, the information of lease includes device data and geographical location information；
Monitoring instruction is sent to the leased equipment, so that the leased equipment, which acquires equipment according to predeterminated frequency, runs number
According to；
Receive the equipment operating data that the leased equipment is uploaded according to predeterminated frequency；
Obtain preset device analysis model, by the device analysis model to device data and equipment operating data into
Row analysis obtains analysis result；
When in the analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；
The maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance according to the geographical location information
Terminal, so that the maintenance terminal of preferential competition for orders obtains the maintenance of equipment order；
Receive the repair message that the maintenance terminal is uploaded according to the maintenance of equipment order, and to the repair message into
Row storage.
Above-mentioned resource data distribution method, device and computer equipment based on leased equipment, server obtain lease and set
Standby information of lease, information of lease include device data and geographical location information.Server sends monitoring instruction to leased equipment,
So that leased equipment acquires equipment operating data according to predeterminated frequency.Server receives multiple leased equipments according on predeterminated frequency
After the equipment operating data of biography, preset device analysis model is obtained, device data and equipment are transported by device analysis model
Row data are analyzed, and analysis result is obtained.Device data and equipment are run according to node sequence by device analysis model
Data carry out Analysis of Policy Making, can effectively and accurately analyze leased equipment with the presence or absence of failure.When there are equipment for analysis result
When failure, maintenance of equipment order is divided according to corresponding fault message generating device maintenance order, and according to geographical location information
It is assigned to multiple maintenance sides and identifies corresponding maintenance terminal, so that multiple maintenance terminals carry out competition for orders.Server receives maintenance terminal
According to the repair message that maintenance of equipment order uploads, and repair message is stored.By distributing maintenance order to meeting
It is required that maintenance terminal so that maintenance terminal to maintenance order carry out competition for orders, thus, it is possible to effectively improve mantenance data point
With efficiency, maintenance order is timely and effectively handled, and then the troubleshooting efficiency of equipment can be effectively improved.
Detailed description of the invention
Fig. 1 is the application scenario diagram of the resource data distribution method based on leased equipment in one embodiment；
Fig. 2 is the flow diagram of the resource data distribution method based on leased equipment in one embodiment；
Fig. 3 is flow diagram the step of analysis in one embodiment leased equipment；
The flow diagram of the step of Fig. 4 is in one embodiment by maintenance of equipment Order splitting to multiple maintenance terminals；
Fig. 5 is the structural block diagram of the resource data distributor based on leased equipment in one embodiment；
Fig. 6 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
Resource data distribution method provided by the present application based on leased equipment, can be applied to application as shown in Figure 1
In environment.Wherein, leased equipment 102 is communicated by network with server 104, and maintenance terminal 106 passes through network and service
Device 104 is communicated.Wherein, leased equipment 102 can be the leases equipment such as various numerically-controlled machine tools, injection molding machine, manufacturing equipment,
Server 104 can realize with the server cluster of independent server either multiple servers composition, maintenance terminal 106
It can be, but not limited to be various personal computers, laptop, smart phone and tablet computer.Server 104 is available
The information of lease of multiple leased equipments 102, information of lease include device data and geographical location information；It is sent out to leased equipment 102
Monitoring is sent to instruct, so that leased equipment 102 acquires equipment operating data according to predeterminated frequency.Server 104 receives leased equipment
After 102 equipment operating data according to predeterminated frequency upload, preset device analysis model is obtained, device analysis model pair is passed through
Device data and equipment operating data are analyzed, and analysis result is obtained；When analysis result is there are when equipment fault, according to correspondence
Fault message generating device maintenance order；Maintenance of equipment Order splitting to multiple maintenance sides is identified according to geographical location information
Corresponding maintenance terminal 106, so that the maintenance terminal 106 of preferential competition for orders, which obtains maintenance of equipment order server 104, receives maintenance
The repair message that terminal 106 is uploaded according to maintenance of equipment order, and repair message is stored.It is leased by automatically analyzing out
Failure existing for equipment generates corresponding maintenance order, and maintenance order is distributed to satisfactory maintenance terminal, so that dimension
It repairs terminal and competition for orders is carried out to maintenance order, thus, it is possible to effectively improve the allocative efficiency of mantenance data, enable maintenance order
It is timely and effectively handled, and then the troubleshooting efficiency of equipment can be effectively improved.
In one embodiment, as shown in Fig. 2, providing a kind of resource data distribution method based on leased equipment, with
This method is applied to be illustrated for the server in Fig. 1, comprising the following steps:
Step 202, the information of lease of leased equipment is obtained, information of lease includes device data and geographical location information.
Wherein, leased equipment can be the leases equipment such as various numerically-controlled machine tools, injection molding machine, manufacturing equipment, vehicle, lease
In equipment can installation data collector in advance, include GPS positioning function and data acquisition function in data collector.Collector
It is connected by corresponding interface with leased equipment, leased equipment is carried out data transmission by data collector and server.Number
According to the facility information of the available leased equipment of collector and operation data etc., and leased equipment can be controlled.
Leased equipment can preset information of lease when hiring out.It may include the number of devices of equipment in information of lease
According to charter information etc., chartering information then includes the geographical location information chartered.Wherein, information of lease can store sets in lease
In standby, it can also be stored in advance in the database of server.After leased equipment is hired out, server can then be obtained simultaneously and be chartered
The information of lease of the corresponding one or more leased equipments in side.
Step 204, monitoring instruction is sent to leased equipment, so that leased equipment, which acquires equipment according to predeterminated frequency, runs number
According to.
Step 206, the equipment operating data that leased equipment is uploaded according to predeterminated frequency is received.
After server obtains the information of lease of leased equipment, monitoring instruction is sent to leased equipment.Leased equipment receives
After the monitoring instruction that server is sent, then the current equipment operating data of leased equipment is acquired according to preset frequency in real time.Its
In, equipment operating data may include the data such as equipment energy consumption, operation duration, equipment yield, equipment yield.Predeterminated frequency can be with
It is the temporal frequencies such as 1 minute, 1 hour, 2 hours.The equipment operating data of acquisition is simultaneously uploaded to server by leased equipment in real time.
Step 208, preset device analysis model is obtained, number is run to device data and equipment by device analysis model
According to being analyzed, analysis result is obtained.
After server receives the equipment operating data that leased equipment is sent according to predeterminated frequency each time, obtain preset
Device analysis model analyzes device data and equipment operating data by device analysis model, obtains corresponding analysis
As a result.Analysis result may include equipment fault, equipment operational excellence and a variety of results such as equipment yield is higher.Pass through utilization
Device analysis model analyzes equipment, and thus, it is possible to effectively analyze leased equipment with the presence or absence of the event of failure or hidden danger
Barrier.
For example, device analysis model can be decision-tree model, multiple decision trees are pre-set in device analysis model
Device data and equipment operating data are input in device analysis model by node, server simultaneously in turn, and according to equipment point
The sequence of decision tree nodes is traversed in analysis model, until obtaining corresponding Analysis of Policy Making result.For example, when equipment runs number
Equipment yield data in are significant lower, equipment energy consumption is insufficient or output product quality it is not up to standard when, pass through equipment
Analysis model can effectively analyze the leased equipment, and there are failures.By device analysis model according to node sequence to number of devices
Analysis of Policy Making is carried out according to equipment operating data, the efficiency analyzed the state of leased equipment can be effectively improved, thus
Effectively and accurately decision can have leased equipment with the presence or absence of failure.
Step 210, it when analyzing in result there are when equipment fault, is ordered according to the maintenance of corresponding fault message generating device
It is single.
After server analyzes device data and equipment operating data by device analysis model, corresponding point is obtained
Analyse result.When analysis result is there are when equipment fault, then needing to repair the leased equipment of failure, to ensure leased equipment
Timely enter operating state.It further include the fault message of leased equipment in analysis result, server is then believed according to corresponding failure
Cease generating device maintenance order.
Step 212, maintenance of equipment Order splitting to multiple maintenance sides is identified by corresponding maintenance according to geographical location information
Terminal, so that the maintenance terminal of preferential competition for orders obtains maintenance of equipment order.
Deploy leased equipment management system in server in advance, multiple equipment safeguards that manufacturer and multiple maintenance personals can be with
It is registered using corresponding maintenance terminal in leased equipment management system and uploads corresponding information.Server is then by multiple dimensions
The side's of repairing mark and corresponding information are stored into database.
After server is according to corresponding fault message generating device maintenance order, then equipment is tieed up according to geographical location information
It repairs multiple maintenance sides in Order splitting to preset range and identifies corresponding maintenance terminal.Multiple maintenance sides identify corresponding maintenance eventually
After termination receives the prompt that equipment is revision list, competition for orders request can be sent to server to obtain the maintenance of equipment order.Clothes
After business device receives the competition for orders request that multiple maintenance terminals are sent, it is ranked up, is obtained most according to the sending time that competition for orders is requested
The competition for orders request first sent, and the maintenance task of the maintenance of equipment order is generated according to the competition for orders request sent at first, and send
Corresponding maintenance terminal is requested to competition for orders is sent at first.By the way that maintenance of equipment Order splitting is whole to satisfactory multiple maintenances
End, so that multiple maintenance terminals carry out competition for orders, thus, it is possible to effectively improve the allocative efficiency of mantenance data, so that maintenance of equipment
Order can be handled timely and effectively, and then can effectively improve the troubleshooting efficiency of equipment.
Step 214, the repair message that maintenance terminal is uploaded according to maintenance of equipment order is received, and repair message is deposited
Storage.
After maintenance terminal receives maintenance task, corresponding maintenance personal is then according to maintenance task in time to there are failures
Leased equipment repairs, and generates corresponding repair message during maintenance and using maintenance terminal, maintenance terminal then basis
Repair message is uploaded to server by maintenance of equipment order.After server receives the repair message of maintenance terminal upload, to dimension
It repairs information to be stored, so that the later period safeguards leased equipment.
In the above-mentioned resource data distribution method based on leased equipment, server obtains the information of lease of leased equipment, rents
Information of renting includes device data and geographical location information.Server sends monitoring instruction to leased equipment, so that leased equipment
Equipment operating data is acquired according to predeterminated frequency.Server receives multiple leased equipments and is run according to the equipment that predeterminated frequency uploads
After data, preset device analysis model is obtained, device data and equipment operating data are divided by device analysis model
Analysis, obtains corresponding analysis result.By device analysis model according to node sequence to device data and equipment operating data into
Row Analysis of Policy Making can effectively and accurately analyze leased equipment with the presence or absence of failure.When analysis result is there are when equipment fault,
According to corresponding fault message generating device maintenance order, and according to geographical location information by maintenance of equipment Order splitting to multiple
Maintenance side identifies corresponding maintenance terminal, so that multiple maintenance terminals carry out competition for orders.Server receives maintenance terminal according to setting
The repair message that standby maintenance order uploads, and repair message is stored.By distributing maintenance order to satisfactory
Maintenance terminal, so that maintenance terminal carries out competition for orders to maintenance order, thus, it is possible to effectively improve the allocative efficiency of mantenance data,
Maintenance order is timely and effectively handled, and then the troubleshooting efficiency of equipment can be effectively improved.
In one embodiment, as shown in figure 3, device data includes device type, by device analysis model to equipment
The step of data and equipment operating data are analyzed, specifically includes the following contents:
Step 302, quantitative analysis is carried out to device data and equipment operating data.
Step 304, corresponding quantized data is resolved to according to preset rules according to device type.
Step 306, quantized data is input in device analysis model, by analysis model according to quantized data to lease
Equipment is analyzed, and obtains analysis result.
It include the device data and geographical location information of leased equipment in information of lease.The rent of server acquisition leased equipment
After information of renting, monitoring instruction is sent to leased equipment, is rented so that leased equipment is acquired according to monitoring instruction according to predeterminated frequency
The equipment operating data for equipment of renting.Server receives the equipment operating data that leased equipment is sent according to predeterminated frequency each time
Afterwards, then preset device analysis model is obtained, device data and equipment operating data are analyzed by device analysis model,
Obtain corresponding analysis result.
Specifically, server can carry out quantitative analysis to device data and equipment operating data.Wherein, server can be with
Preset quantitative model is obtained, quantitative analysis is carried out to equipment operation information by quantitative model.Server and according to equipment class
Device data and equipment operating data are resolved to corresponding quantized data according to preset rules by type.Server then further will amount
Change data to be input in device analysis model, leased equipment is analyzed according to quantized data by analysis model, and obtains
Corresponding analysis result.Analysis result may include equipment fault, equipment operational excellence and a variety of knots such as equipment yield is higher
Fruit.By being analyzed using device analysis model equipment, thus, it is possible to effectively analyze leased equipment with the presence or absence of event
The failure of barrier or hidden danger.
For example, device analysis model can be decision-tree model, multiple decision trees are pre-set in device analysis model
Device data and equipment operating data are input in device analysis model by node, server simultaneously in turn, and according to equipment point
The sequence of decision tree nodes is traversed in analysis model, until obtaining corresponding Analysis of Policy Making result.For example, when equipment runs number
Equipment yield data in are significant lower, equipment energy consumption is insufficient or output product quality it is not up to standard when, pass through equipment
Analysis model can effectively analyze the leased equipment, and there are failures.By device analysis model according to node sequence to number of devices
Analysis of Policy Making is carried out according to equipment operating data, the efficiency analyzed the state of leased equipment can be effectively improved, thus
Effectively and accurately decision can have leased equipment with the presence or absence of failure.
It in one embodiment, further include establishing device analysis model before obtaining preset device analysis model, packet
It includes: obtaining multiple equipment data and equipment operating data；Big data analysis is carried out to multiple equipment data and equipment operating data,
And feature selecting is carried out to the data after analysis, extract the characteristic variable for reaching preset threshold；According to the characteristic variable of extraction
Calculate corresponding basic parameter；Device analysis model is established according to predetermined manner according to characteristic variable and corresponding basic parameter.
Before obtaining preset device analysis model, server can pre-establish device analysis model.Specifically, it takes
Business device can obtain a large amount of device data and equipment operating data from local data base or third party database.Wherein equipment
It include device type in data.Server further carries out big data analysis to a large amount of device data and equipment operating data,
For example, clustering can be carried out to device data and equipment operating data using clustering algorithm, corresponding cluster result is obtained,
Data after analyzing.Server carries out feature selecting to the data after analysis in turn.
Specifically, server carries out feature extraction to device data and equipment operating data, extracts plurality of devices type
Corresponding characteristic variable.After server extracts the corresponding characteristic variable of plurality of devices type, cluster point is carried out to characteristic variable
Analysis, such as can be using the method for k-means (k- mean algorithm) cluster.By obtain after repeatedly clustering to characteristic variable
Multiple cluster results.Server is further respectively combined the characteristic variable in multiple cluster results, obtains multiple combinations
Characteristic variable.Target variable is obtained, correlation test is carried out to multiple assemblage characteristic variables using target variable.It upchecks
When, interactive tag is added to assemblage characteristic variable.Utilize the corresponding feature of assemblage characteristic variable resolution after addition interactive tag
Variable.Assemblage characteristic variable after adding interactive tag can be the characteristic variable for reaching preset threshold, and server then extracts
Reach preset threshold characteristic variable.
Further, after server extracts the characteristic variable for reaching preset threshold, then the corresponding base of characteristic variable is calculated
Quasi- parameter.It include corresponding reference data in the corresponding device data of distinct device type, by analyzing reference data,
Obtain more accurately basic parameter.Server then obtains corresponding basic parameter according to characteristic variable, and according to characteristic variable
Device analysis model is established according to predetermined manner with corresponding basic parameter.By running number to a large amount of device data and equipment
After carrying out big data analysis, building includes the device analysis model of plurality of devices type, accurate thus, it is possible to effectively establish
The higher device analysis model of rate, the state so as to the leased equipment effectively to plurality of devices type are analyzed.
It include the device data and geographical location information of leased equipment in information of lease.The rent of server acquisition leased equipment
After information of renting, monitoring instruction is sent to leased equipment, is rented so that leased equipment is acquired according to monitoring instruction according to predeterminated frequency
The equipment operating data for equipment of renting.Server receives the equipment operating data that leased equipment is sent according to predeterminated frequency each time
Afterwards, then preset device analysis model is obtained, device data and equipment operating data are analyzed by device analysis model,
Obtain corresponding analysis result.By being analyzed using the device analysis model pre-established equipment state, and then can
Accurately and effectively analyze the state of equipment and with the presence or absence of failure.
In one embodiment, as shown in figure 4, including host node and multiple from node in server, according to geographical location
The step of information maintenance of equipment Order splitting is corresponding to multiple maintenance users maintenance terminal, specifically include the following contents:
Step 402, host node is polled to multiple from the present load weight of node, is obtained each from the current of node
Load balancing.
Step 404, according to each present load equilibrium from node by multiple equipment maintenance order distribute to it is corresponding from
Node, so that multiple respectively handled multiple equipment maintenance order from node.
Step 406, the corresponding multiple competition for orders requests of multiple thread receiving device maintenance orders are called from node, according to competition for orders
Time is ranked up multiple competition for orders request, obtains preferential competition for orders request.
Step 408, corresponding maintenance task is generated from node according to preferential competition for orders request, and maintenance task is distributed to excellent
Corresponding maintenance terminal is requested in first competition for orders.
It include the device data and geographical location information of leased equipment in information of lease.The rent of server acquisition leased equipment
After information of renting, monitoring instruction is sent to leased equipment, is rented so that leased equipment is acquired according to monitoring instruction according to predeterminated frequency
The equipment operating data for equipment of renting.Server receives the equipment operating data that leased equipment is sent according to predeterminated frequency each time
Afterwards, then preset device analysis model is obtained, device data and equipment operating data are analyzed by device analysis model,
Obtain corresponding analysis result.When analyzing result there are when equipment fault, ordered according to the maintenance of corresponding fault message generating device
It is single.Server is according to the geographical location information of leased equipment to be repaired by maintenance of equipment Order splitting to multiple maintenance sides mark pair
The maintenance terminal answered, so that multiple maintenance terminals carry out competition for orders.
Further, server can be cluster server, and cluster server includes corresponding multiple nodes.The above method
In server can be host node.Host node can simultaneously analyze multiple leased equipments, set when analysis result exists
When standby failure, after generating corresponding maintenance of equipment order according to the fault message of leased equipment.Host node is then according to every in cluster
It is a corresponding from node identification for the selection of each maintenance of equipment order from the present load weight of node, and to the slave section selected
The corresponding present load weight of point identification is smoothed, and selects next maintenance of equipment to order using the result after smoothing processing
It is single corresponding from node identification, until being selected for multiple equipment maintenance order corresponding from node identification.Thus host node root
Multiple equipment maintenance order is distributed to corresponding from node according to the slave node identification being selected so that each from node to point
The maintenance of equipment order matched is handled.It can be disappeared to the resource of the slave node of currently allocated analysis task by smoothing processing
Consumption is offset, and is prevented from computing repeatedly its load weight, is reached multiple load balancing from node in cluster with this.
Specifically, multiple maintenance terminals receive host node transmission maintenance of equipment order prompt after, maintenance personal is then
Competition for orders request can be sent to carry out competition for orders to host node by corresponding maintenance terminal.Multiple threads are then called to receive from node
The corresponding multiple competition for orders requests of maintenance of equipment order, are ranked up multiple competition for orders request according to the competition for orders time, acquisition is preferentially robbed
Single request.Corresponding maintenance task is generated from node and then according to preferential competition for orders request, and maintenance task is distributed to preferentially robbing
It is single to request corresponding maintenance terminal, so that corresponding maintenance terminal is according to maintenance task in time to there are the leased equipments of failure
It repairs.By distributing maintenance order to satisfactory maintenance terminal, so that maintenance terminal carries out maintenance order
Competition for orders enables maintenance order timely and effectively to be handled, in turn thus, it is possible to effectively improve the allocative efficiency of mantenance data
The troubleshooting efficiency of equipment can be effectively improved.
In one embodiment, maintenance personal is using corresponding maintenance terminal competition for orders success, and gets corresponding maintenance
After task, reaches target location and leased equipment to be repaired is repaired, during maintenance eventually by corresponding maintenance
End record repair message, and repair message is uploaded to server and is stored.Server receives the dimension of maintenance terminal upload
After repairing information, corresponding maintenance cost is calculated according to preset rules according to repair message, and hold from the leased equipment is corresponding
Corresponding maintenance cost is deducted in rent side's account.It, being capable of effective land rent by deducting corresponding maintenance cost according to repair message
The maintenance efficiency for equipment of renting.
In one embodiment, maintenance of equipment order includes class label, this method further include: obtains multiple maintenance side's marks
The user information and history mantenance data of knowledge；Preset disaggregated model is obtained, by disaggregated model according to user information and history
Mantenance data is classified to for maintenance user, and adds corresponding class label to maintenance side's mark.
Deploy leased equipment management system in server in advance, multiple equipment safeguards that manufacturer and multiple maintenance personals can be with
It is registered using corresponding maintenance terminal in leased equipment management system, fills in maintenance side in registration and identify corresponding user
Information, and user information is uploaded to by server by corresponding maintenance terminal.It such as may include the basic letter of maintenance personal
The information such as breath, maintenance field, maintenance speciality.Server then stores multiple maintenance sides mark and corresponding user information to data
In library.After maintenance personal passes through corresponding maintenance terminal acquisition maintenance task every time and repairs, corresponding maintenance letter is generated
It ceases and is uploaded to server.
Server can further obtain the user information and history mantenance data that multiple maintenance sides identify, and obtain default
Disaggregated model.Wherein, disaggregated model can be the disaggregated model neural network based pre-established.Server is then by user
Information and history mantenance data are input in disaggregated model, are classified by disaggregated model to maintenance personal, and to maintenance side
Mark adds corresponding class label.For example, class label may include the marks such as maintenance field, the maintenance speciality that the side of maintenance identifies
Label.Can accurately and effectively it be classified to maintenance personal by preset disaggregated model.
Further, maintenance of equipment Order splitting to multiple maintenance sides is identified by corresponding maintenance according to geographical location information
Terminal, comprising: according to geographical location information and class label that maintenance of equipment Order splitting is corresponding to multiple maintenance sides mark
Maintenance terminal.
Specifically, after the information of lease of server acquisition leased equipment, monitoring instruction is sent to leased equipment, so that renting
Equipment of renting is according to monitoring instruction according to the equipment operating data of predeterminated frequency acquisition leased equipment.Server receives rent each time
After the equipment operating data that equipment of renting is sent according to predeterminated frequency, then preset device analysis model is obtained, device analysis is passed through
Model analyzes device data and equipment operating data, obtains corresponding analysis result.When there are equipment events for analysis result
When barrier, according to corresponding fault message generating device maintenance order.Server is believed according to the geographical location of leased equipment to be repaired
Breath and class label are by maintenance of equipment Order splitting to the corresponding maintenance terminal of multiple maintenance sides mark, so that multiple maintenances are eventually
End carries out competition for orders.Thus, it is possible to which the corresponding maintenance order of leased equipment is effectively pushed to classification to match maintenance terminal, with
Guarantee that maintenance personal can efficiently solve failure existing for leased equipment, and then the failure of leased equipment can be effectively improved
Treatment effeciency.
In one embodiment, after receiving the repair message that maintenance terminal is sent according to maintenance of equipment order, this method
Further include: preset evaluation model is obtained, evaluation analysis is carried out to repair message by evaluation model, obtains maintenance analysis knot
Fruit；It is scored according to maintenance analysis result repair message, obtains this maintenance scoring；Obtain user's letter that maintenance side identifies
Breath, this maintenance scoring and history mantenance data；Preset evaluation model is obtained, is believed by evaluation model according to the user
Breath, this maintenance scoring and history mantenance data analyze maintenance side's mark, obtain corresponding customer analysis result；According to
Customer analysis result scores to maintenance side's mark, and scoring is added in corresponding maintenance side's mark.
After server obtains the information of lease of leased equipment, monitoring instruction is sent to leased equipment, so that leased equipment
According to monitoring instruction according to the equipment operating data of predeterminated frequency acquisition leased equipment.Server receives leased equipment each time
After the equipment operating data sent according to predeterminated frequency, then preset device analysis model is obtained, device analysis model pair is passed through
Device data and equipment operating data are analyzed, and corresponding analysis result is obtained.When analysis result is there are when equipment fault, root
According to corresponding fault message generating device maintenance order.Server is according to the geographical location information and classification of leased equipment to be repaired
Maintenance of equipment Order splitting to multiple maintenance sides is identified corresponding maintenance terminal by label, so that multiple maintenance terminals are robbed
Single, the successful maintenance terminal of competition for orders then in time repairs the leased equipment there are failure according to maintenance of equipment order, and on
Corresponding repair message is passed to server.Server receives the repair message that maintenance terminal is uploaded according to maintenance of equipment order,
And repair message is stored.
After server receives the repair message that maintenance terminal is sent according to maintenance of equipment order, then preset evaluation is obtained
Repair message is input in evaluation model by model, by evaluation model to this repair row evaluation analysis, and is obtained corresponding
Maintenance analysis result.Server then scores to repair message according to maintenance analysis result, and then obtains this maintenance scoring.
Evaluation analysis effectively can be carried out to each maintenance by evaluation model, troubleshooting shape that can effectively to leased equipment
State is analyzed and is supervised.
Further, after server scores to this maintenance, user information, this maintenance that maintenance side identifies are obtained
Scoring and history mantenance data, and preset evaluation model is obtained, maintenance side is identified into corresponding user information, this maintenance is commented
Divide and history mantenance data is input in evaluation model, maintenance personal is analyzed by evaluation model, obtains corresponding use
Analyze result in family.And then it is scored according to customer analysis result maintenance side's mark, and scoring is added to corresponding maintenance
In side's mark.It analyzes and scores by correlation of the evaluation model to maintenance personal, it can be effectively to the dimension of maintenance personal
It repairs efficiency to be evaluated, so that server can refer to corresponding scoring in distributing equipment maintenance order, and then can be effective
The troubleshooting efficiency of ground raising equipment.
It should be understood that although each step in the flow chart of Fig. 2-4 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 2-4
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 5, providing a kind of resource data distributor based on leased equipment, packet
It includes: data acquisition module 502, monitoring of tools module 504, data analysis module 506, order generation module 508, data distribution mould
Block 510 and data memory module 512, in which:
Data acquisition module 502, for obtaining the information of lease of leased equipment, information of lease includes device data and geography
Location information；
Monitoring of tools module 504, for sending monitoring instruction to leased equipment, so that leased equipment is adopted according to predeterminated frequency
Collect equipment operating data；
Data acquisition module 502 is also used to receive the equipment operating data that leased equipment is uploaded according to predeterminated frequency；
Data analysis module 506, for obtaining preset device analysis model, by device analysis model to device data
It is analyzed with equipment operating data, obtains analysis result；
Order generation module 508, for being generated according to corresponding fault message when analyzing in result there are when equipment fault
Maintenance of equipment order；
Data allocation module 510, for being marked maintenance of equipment Order splitting to multiple maintenance sides according to geographical location information
Corresponding maintenance terminal is known, so that the maintenance terminal of preferential competition for orders obtains maintenance of equipment order；
Data memory module 512, the repair message uploaded for receiving maintenance terminal according to maintenance of equipment order, and to dimension
Information is repaired to be stored.
Device data includes device type in one of the embodiments, and data analysis module 506 is also used to number of devices
Quantitative analysis is carried out according to equipment operating data；Corresponding quantized data is resolved to according to preset rules according to device type；It will
Quantized data is input in device analysis model, is analyzed according to quantized data leased equipment by analysis model, and
To analysis result.
In one of the embodiments, before obtaining preset device analysis model, which further includes model construction
Module, for obtaining multiple equipment data and equipment operating data；Multiple equipment data and equipment operating data count greatly
Feature selecting is carried out according to analysis, and to the data after analysis, extracts the characteristic variable for reaching preset threshold；According to the spy of extraction
It levies variable and calculates corresponding basic parameter；Device analysis is established according to predetermined manner according to characteristic variable and corresponding basic parameter
Model.
It include in one of the embodiments, host node and multiple from node in server, data allocation module 510 is also used
It is polled to multiple from the present load weight of node in host node, it is balanced to obtain each present load from node；According to
Each distribute from the present load equilibrium of node by multiple equipment maintenance order to corresponding from node, so that multiple from node point
It is other that multiple equipment maintenance order is handled；The corresponding multiple competition for orders of multiple thread receiving device maintenance orders are called from node
Request is ranked up multiple competition for orders request according to the competition for orders time, obtains preferential competition for orders request；It is asked from node according to preferential competition for orders
Corresponding maintenance task is sought survival into, and maintenance task is distributed to preferential competition for orders and requests corresponding maintenance terminal.
Maintenance of equipment order includes class label in one of the embodiments, which further includes categorization module, is used for
Obtain the user information and history mantenance data that multiple maintenance sides identify；Preset disaggregated model is obtained, disaggregated model root is passed through
Classify according to user information and history mantenance data to for maintenance user, and corresponding classification mark is added to maintenance side's mark
Label；Data allocation module 510 is also used to maintenance of equipment Order splitting to multiple dimensions according to geographical location information and class label
The side of repairing identifies corresponding maintenance terminal.
The repair message that the maintenance terminal is sent according to the maintenance of equipment order is received in one of the embodiments,
Later, which further includes evaluation module, for obtaining preset evaluation model, is commented by evaluation model repair message
Valence analysis obtains maintenance analysis result；It is scored according to maintenance analysis result repair message, obtains this maintenance scoring；
Obtain user information, this maintenance scoring and history mantenance data that maintenance side identifies；Preset evaluation model is obtained, by commenting
Valence model analyzes maintenance side's mark according to user information, this maintenance scoring and history mantenance data, obtains corresponding
Customer analysis result；It is scored according to customer analysis result maintenance side's mark, and scoring is added to corresponding maintenance side
In mark.
Specific restriction about the resource data distributor based on leased equipment may refer to above for based on rent
The restriction of the resource data distribution method for equipment of renting, details are not described herein.The above-mentioned resource data based on leased equipment distributes dress
Modules in setting can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module can be in the form of hardware
It is embedded in or independently of the storage that in the processor in computer equipment, can also be stored in a software form in computer equipment
In device, the corresponding operation of the above modules is executed in order to which processor calls.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 6.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is for data such as storage device data, equipment operating data, repair messages.The network of the computer equipment
Interface is used to communicate with external terminal by network connection.To realize that one kind is based on when the computer program is executed by processor
The resource data distribution method of leased equipment.
It will be understood by those skilled in the art that structure shown in Fig. 6, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, which is stored with
Computer program, the processor perform the steps of when executing computer program
The information of lease of leased equipment is obtained, information of lease includes device data and geographical location information；
Monitoring instruction is sent to leased equipment, so that leased equipment acquires equipment operating data according to predeterminated frequency；
Receive the equipment operating data that leased equipment is uploaded according to predeterminated frequency；
Preset device analysis model is obtained, device data and equipment operating data are divided by device analysis model
Analysis obtains analysis result；
When in analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；
Maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance terminal according to geographical location information, so that
The maintenance terminal of preferential competition for orders obtains maintenance of equipment order；
The repair message that maintenance terminal is uploaded according to maintenance of equipment order is received, and repair message is stored.
In one embodiment, device data includes device type, is also realized when processor executes computer program following
Step: quantitative analysis is carried out to device data and equipment operating data；Correspondence is resolved to according to preset rules according to device type
Quantized data；Quantized data is input in device analysis model, by analysis model according to quantized data to leased equipment
It is analyzed, and obtains analysis result.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains multiple equipment data
And equipment operating data；Big data analysis carried out to multiple equipment data and equipment operating data, and to the data after analysis into
Row feature selecting extracts the characteristic variable for reaching preset threshold；Corresponding basic parameter is calculated according to the characteristic variable of extraction；
Device analysis model is established according to predetermined manner according to characteristic variable and corresponding basic parameter.
It in one embodiment, include host node in server and multiple from node, when processor executes computer program
It also performs the steps of host node to be polled to multiple from the present load weight of node, obtain each from the current of node
Load balancing；Multiple equipment maintenance order is distributed to corresponding from node according to each present load equilibrium from node, with
Make multiple respectively to handle multiple equipment maintenance order from node；Multiple thread receiving device maintenance orders are called from node
Corresponding multiple competition for orders requests are ranked up multiple competition for orders request according to the competition for orders time, obtain preferential competition for orders request；From node
Corresponding maintenance task is generated according to preferential competition for orders request, and maintenance task is distributed to preferential competition for orders and requests corresponding maintenance eventually
End.
In one embodiment, maintenance of equipment order includes class label, and processor is also realized when executing computer program
Following steps: user information and history mantenance data that multiple maintenance sides identify are obtained；Preset disaggregated model is obtained, by dividing
Class model is classified according to user information and history mantenance data to for maintenance user, and corresponding to the mark addition of maintenance side
Class label；Maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding dimension according to geographical location information and class label
Repair terminal.
In one embodiment, it is also performed the steps of when processor executes computer program and obtains preset evaluation mould
Type carries out evaluation analysis to repair message by evaluation model, obtains maintenance analysis result；According to maintenance analysis result to maintenance
Information scores, and obtains this maintenance scoring；Obtain user information, this maintenance scoring and history maintenance that maintenance side identifies
Data；Preset evaluation model is obtained, by evaluation model according to user information, this maintenance scoring and history mantenance data pair
Maintenance side's mark is analyzed, and corresponding customer analysis result is obtained；Maintenance side's mark is commented according to customer analysis result
Point, and scoring is added in corresponding maintenance side's mark.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
The information of lease of leased equipment is obtained, information of lease includes device data and geographical location information；
Monitoring instruction is sent to leased equipment, so that leased equipment acquires equipment operating data according to predeterminated frequency；
Receive the equipment operating data that leased equipment is uploaded according to predeterminated frequency；
Preset device analysis model is obtained, device data and equipment operating data are divided by device analysis model
Analysis obtains analysis result；
When in analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；
Maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance terminal according to geographical location information, so that
The maintenance terminal of preferential competition for orders obtains maintenance of equipment order；
The repair message that maintenance terminal is uploaded according to maintenance of equipment order is received, and repair message is stored.
In one embodiment, device data includes device type, when computer program is executed by processor also realize with
Lower step: quantitative analysis is carried out to device data and equipment operating data；It is resolved to pair according to device type according to preset rules
The quantized data answered；Quantized data is input in device analysis model, lease is set according to quantized data by analysis model
It is standby to be analyzed, and obtain analysis result.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains multiple equipment number
According to and equipment operating data；Big data analysis is carried out to multiple equipment data and equipment operating data, and to the data after analysis
Feature selecting is carried out, the characteristic variable for reaching preset threshold is extracted；Corresponding benchmark ginseng is calculated according to the characteristic variable of extraction
Number；Device analysis model is established according to predetermined manner according to characteristic variable and corresponding basic parameter.
It in one embodiment, include host node and multiple from node in server, computer program is executed by processor
When also perform the steps of host node and be polled to multiple from the present load weight of node, obtain each working as from node
Preceding load balancing；Multiple equipment maintenance order is distributed to corresponding from node according to each present load equilibrium from node,
So that multiple respectively handled multiple equipment maintenance order from node；Multiple thread receiving device maintenances are called to order from node
Single corresponding multiple competition for orders requests, are ranked up multiple competition for orders request according to the competition for orders time, obtain preferential competition for orders request；From section
Point generates corresponding maintenance task according to preferential competition for orders request, and maintenance task is distributed to preferential competition for orders and requests corresponding maintenance
Terminal.
In one embodiment, maintenance of equipment order includes class label, and reality is gone back when computer program is executed by processor
Existing following steps: user information and history mantenance data that multiple maintenance sides identify are obtained；Preset disaggregated model is obtained, is passed through
Disaggregated model is classified according to user information and history mantenance data to for maintenance user, and is identified addition to maintenance side and corresponded to
Class label；It is according to geographical location information and class label that maintenance of equipment Order splitting is corresponding to multiple maintenance sides mark
Maintenance terminal.
In one embodiment, it is also performed the steps of when computer program is executed by processor and obtains preset evaluation
Model carries out evaluation analysis to repair message by evaluation model, obtains maintenance analysis result；According to maintenance analysis result to dimension
It repairs information to score, obtains this maintenance scoring；Obtain user information, this maintenance scoring and history dimension that maintenance side identifies
Repair data；Preset evaluation model is obtained, by evaluation model according to user information, this maintenance scoring and history mantenance data
Maintenance side's mark is analyzed, corresponding customer analysis result is obtained；Maintenance side is identified according to customer analysis result and is carried out
Scoring, and scoring is added in corresponding maintenance side's mark.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of resource data distribution method based on leased equipment, comprising:
The information of lease of leased equipment is obtained, the information of lease includes device data and geographical location information；
Monitoring instruction is sent to the leased equipment, so that the leased equipment acquires equipment operating data according to predeterminated frequency；
Receive the equipment operating data that the leased equipment is uploaded according to predeterminated frequency；
Preset device analysis model is obtained, device data and equipment operating data are divided by the device analysis model
Analysis obtains analysis result；
When in the analysis result there are when equipment fault, according to corresponding fault message generating device maintenance order；
The maintenance of equipment Order splitting to multiple maintenance sides is identified into corresponding maintenance terminal according to the geographical location information,
So that the maintenance terminal of preferential competition for orders obtains the maintenance of equipment order；
The repair message that the maintenance terminal is uploaded according to the maintenance of equipment order is received, and the repair message is deposited
Storage.
2. described to pass through institute the method according to claim 1, wherein the device data includes device type
Device analysis model is stated to analyze device data and equipment operating data, comprising:
Quantitative analysis is carried out to the device data and the equipment operating data；
Corresponding quantized data is resolved to according to preset rules according to the device type；
The quantized data is input in the device analysis model, by the analysis model according to the quantized data pair
The leased equipment is analyzed, and obtains analysis result.
3. the method according to claim 1, wherein also being wrapped before the preset device analysis model of acquisition
It includes:
Obtain multiple equipment data and equipment operating data；
Big data analysis is carried out to multiple equipment data and equipment operating data, and feature selecting is carried out to the data after analysis,
Extract the characteristic variable for reaching preset threshold；
Corresponding basic parameter is calculated according to the characteristic variable of the extraction；
Device analysis model is established according to predetermined manner according to the characteristic variable and corresponding basic parameter.
4. method according to any one of claims 1 to 3, which is characterized in that in server include host node and it is multiple from
Node, it is described that the maintenance of equipment Order splitting to multiple maintenance sides is identified by corresponding maintenance according to the geographical location information
Terminal, comprising:
Host node is polled to the multiple from the present load weight of node, is obtained each equal from the present load of node
Weighing apparatus；
Multiple equipment maintenance order is distributed to corresponding from node, so that multiple according to each present load equilibrium from node
Multiple equipment maintenance order is handled respectively from node；
The corresponding multiple competition for orders requests of multiple thread receiving device maintenance orders are called from node, are robbed according to the competition for orders time to multiple
Single request is ranked up, and obtains preferential competition for orders request；
It is described that corresponding maintenance task is generated according to the preferential competition for orders request from node, and the maintenance task is distributed to institute
It states preferential competition for orders and requests corresponding maintenance terminal.
5. the method according to claim 1, wherein the maintenance of equipment order includes class label, the side
Method further include:
Obtain the user information and history mantenance data that multiple maintenance sides identify；
Preset disaggregated model is obtained, by the disaggregated model according to user information and history mantenance data to repair user
Classify, and corresponding class label is added to maintenance side's mark；
It is described that the maintenance of equipment Order splitting to multiple maintenance sides is identified by corresponding maintenance according to the geographical location information
Terminal, comprising:
The maintenance of equipment Order splitting to multiple maintenance sides is identified according to the geographical location information and the class label
Corresponding maintenance terminal.
6. the method according to claim 1, wherein receiving the maintenance terminal according to the maintenance of equipment order
After the repair message of transmission, the method also includes:
Preset evaluation model is obtained, evaluation analysis is carried out to the repair message by the evaluation model, obtains maintenance point
Analyse result；
Result is analyzed according to the maintenance to score to the repair message, obtains this maintenance scoring；
Obtain user information, this maintenance scoring and history mantenance data that the maintenance side identifies；
Preset evaluation model is obtained, is tieed up by the evaluation model according to the user information, this maintenance scoring and history
It repairs data to analyze maintenance side's mark, obtains corresponding customer analysis result；
It is scored according to the customer analysis result maintenance side mark, and the scoring is added to corresponding maintenance
In side's mark.
7. a kind of resource data distributor based on leased equipment, comprising:
Data acquisition module, for obtaining the information of lease of leased equipment, the information of lease includes device data and geographical position
Confidence breath；
Monitoring of tools module, for sending monitoring instruction to the leased equipment, so that the leased equipment is according to predeterminated frequency
Acquire equipment operating data；
The data acquisition module is also used to receive the equipment operating data that the leased equipment is uploaded according to predeterminated frequency；
Data analysis module, for obtaining preset device analysis model, by the device analysis model to device data and
Equipment operating data is analyzed, and analysis result is obtained；
Order generation module, for when there are when equipment fault, being set according to the generation of corresponding fault message in the analysis result
Standby maintenance order；
Data allocation module, for being marked the maintenance of equipment Order splitting to multiple maintenance sides according to the geographical location information
Corresponding maintenance terminal is known, so that the maintenance terminal of preferential competition for orders obtains the maintenance of equipment order；
Data memory module, the repair message uploaded for receiving the maintenance terminal according to the maintenance of equipment order, and it is right
The repair message is stored.
8. device according to claim 7, which is characterized in that it include host node and multiple from node in server, it is described
Data allocation module is also used to host node and is polled to the multiple from the present load weight of node, obtains each from node
Present load it is balanced；Multiple equipment maintenance order is distributed to corresponding from section according to each present load equilibrium from node
Point, so that multiple respectively handled multiple equipment maintenance order from node；Multiple thread receiving device dimensions are called from node
The single corresponding multiple competition for orders requests of revision, are ranked up multiple competition for orders request according to the competition for orders time, obtain preferential competition for orders request；
It is described that corresponding maintenance task is generated according to the preferential competition for orders request from node, and the maintenance task is distributed to described excellent
Corresponding maintenance terminal is requested in first competition for orders.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 6 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 6 is realized when being executed by processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811211453.3A CN109472372A (en) | 2018-10-17 | 2018-10-17 | Resource data distribution method, device and computer equipment based on leased equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811211453.3A CN109472372A (en) | 2018-10-17 | 2018-10-17 | Resource data distribution method, device and computer equipment based on leased equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109472372A true CN109472372A (en) | 2019-03-15 |
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| CN110119818A (en) * | 2019-04-15 | 2019-08-13 | 杭州瑾信科技有限公司 | Lease printer failure distribution method, device, computer equipment and storage medium |
| CN110659800A (en) * | 2019-08-15 | 2020-01-07 | 平安科技（深圳）有限公司 | Risk monitoring processing method and device, computer equipment and storage medium |
| CN110675079A (en) * | 2019-09-30 | 2020-01-10 | 腾讯科技（深圳）有限公司 | Fault data processing method and device and computer equipment |
| CN110825923A (en) * | 2019-10-25 | 2020-02-21 | 袁茂银 | Underground cable fault repairing method and device based on single model |
| CN111161093A (en) * | 2019-12-05 | 2020-05-15 | 国网浙江省电力有限公司温州供电公司 | Asset full-period management and control method and device based on radio frequency technology |
| CN111369160A (en) * | 2020-03-12 | 2020-07-03 | 苏州随身玩信息技术有限公司 | Balanced distribution method of interpreters, cabinet and server |
| CN113793201A (en) * | 2021-09-17 | 2021-12-14 | 重庆林益工程机械租赁有限公司 | Centralized leasing system for engineering machinery |
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| CN115860278A (en) * | 2023-02-27 | 2023-03-28 | 深圳市利和兴股份有限公司 | Motor assembly production management method and system based on data analysis |
| CN116567454A (en) * | 2023-07-12 | 2023-08-08 | 江苏赛融科技股份有限公司 | Equipment full life cycle operation monitoring method and system based on Internet of things |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110119818A (en) * | 2019-04-15 | 2019-08-13 | 杭州瑾信科技有限公司 | Lease printer failure distribution method, device, computer equipment and storage medium |
| CN110659800A (en) * | 2019-08-15 | 2020-01-07 | 平安科技（深圳）有限公司 | Risk monitoring processing method and device, computer equipment and storage medium |
| CN110675079A (en) * | 2019-09-30 | 2020-01-10 | 腾讯科技（深圳）有限公司 | Fault data processing method and device and computer equipment |
| CN110675079B (en) * | 2019-09-30 | 2024-06-07 | 腾讯科技（深圳）有限公司 | Fault data processing method and device and computer equipment |
| CN110825923A (en) * | 2019-10-25 | 2020-02-21 | 袁茂银 | Underground cable fault repairing method and device based on single model |
| CN111161093A (en) * | 2019-12-05 | 2020-05-15 | 国网浙江省电力有限公司温州供电公司 | Asset full-period management and control method and device based on radio frequency technology |
| CN111369160A (en) * | 2020-03-12 | 2020-07-03 | 苏州随身玩信息技术有限公司 | Balanced distribution method of interpreters, cabinet and server |
| US20230068328A1 (en) * | 2021-09-01 | 2023-03-02 | Caterpillar Inc. | Systems and methods for minimizing customer and jobsite downtime due to unexpected machine repairs |
| CN113793201A (en) * | 2021-09-17 | 2021-12-14 | 重庆林益工程机械租赁有限公司 | Centralized leasing system for engineering machinery |
| CN113807924A (en) * | 2021-09-24 | 2021-12-17 | 华院分析技术(上海)有限公司 | Business processing distribution method, system, storage medium and equipment based on batch processing algorithm |
| CN115860278A (en) * | 2023-02-27 | 2023-03-28 | 深圳市利和兴股份有限公司 | Motor assembly production management method and system based on data analysis |
| CN115860278B (en) * | 2023-02-27 | 2023-04-28 | 深圳市利和兴股份有限公司 | Motor assembly production management method and system based on data analysis |
| CN116567454A (en) * | 2023-07-12 | 2023-08-08 | 江苏赛融科技股份有限公司 | Equipment full life cycle operation monitoring method and system based on Internet of things |
| CN116567454B (en) * | 2023-07-12 | 2023-09-22 | 江苏赛融科技股份有限公司 | Equipment full life cycle operation monitoring method and system based on Internet of things |
| CN117354354A (en) * | 2023-12-05 | 2024-01-05 | 泉州芸台科技有限公司 | Remote control method and system for construction protection platform |
| CN117354354B (en) * | 2023-12-05 | 2024-03-26 | 泉州芸台科技有限公司 | Remote control method and system for construction protection platform |
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