CN114360222B - Status early warning method, device, equipment and medium of leasing equipment - Google Patents
Status early warning method, device, equipment and medium of leasing equipment Download PDFInfo
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Abstract
The embodiment of the invention discloses a status early warning method, device, equipment and medium of leasing equipment. The method comprises the steps of collecting working state data of leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data; calculating at least one health work index matched with the leasing equipment according to the start-up state description information; and dynamically monitoring each health work index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter can provide additional services for the renter of the renting equipment. The technical scheme of the embodiment of the invention provides a novel technology for dynamically monitoring whether the leasing equipment can work healthily, so as to ensure that the leasing equipment is efficient, stable and effective to provide service for lessees.
Description
Technical Field
The embodiment of the invention relates to an electric power metering technology, in particular to a state early warning method, device, equipment and medium of leasing equipment.
Background
With the strong support of the country to small micro enterprises, especially manufacturing industry, small and medium enterprises are well developed, and the equipment renting demands of the small and medium enterprises are also increasing.
The equipment renting refers to medium and heavy equipment which is temporarily incapable of being purchased by a small enterprise, is purchased by a renting service provider, and provides equipment use rights for equipment renting enterprises in the form of collecting rentals. In the prior art, a rental service provider can manage each piece of rental equipment through a rental equipment management platform, and an equipment renting enterprise can check information of the rental equipment through logging in the rental equipment management platform.
The inventor finds that in the process of realizing the invention, the existing leasing equipment management platform only carries out simple statistical analysis based on the basic information of the leasing equipment, mainly comprises longitude and latitude, equipment running state, equipment early warning and the like, can not effectively monitor the health working state of the leasing equipment of each equipment leasing enterprise, and can not ensure that the leasing equipment can efficiently, stably and effectively provide services for leasers.
Disclosure of Invention
The embodiment of the invention provides a status early warning method, a status early warning device, status early warning equipment and status early warning media for rental equipment, so as to ensure that the rental equipment efficiently, stably and effectively provides service for lessees.
In a first aspect, an embodiment of the present invention provides a status pre-warning method for rental equipment, where the method includes:
collecting working state data of leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data;
calculating at least one health work index matched with the leasing equipment according to the start-up state description information;
and dynamically monitoring each health work index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter can provide additional services for the renter of the renting equipment.
In a second aspect, an embodiment of the present invention further provides a status early warning device for a rental device, where the status early warning device includes:
the start-up state description information calculation module is used for collecting working state data of the leasing equipment in real time and calculating start-up state description information matched with the leasing equipment according to the working state data;
the health work weighing index calculation module is used for calculating at least one health work weighing index matched with the leasing equipment according to the start state description information;
And the early warning module is used for dynamically monitoring each health work measurement index, and providing matched early warning information for the renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter of the renting equipment can provide additional services.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
a storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement a status pre-warning method for rental equipment according to any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the program when executed by a processor implements a status pre-warning method for rental equipment according to any embodiment of the present invention.
According to the embodiment of the invention, the working state data of the leasing equipment are collected in real time, and the start-up state description information matched with the leasing equipment is calculated according to the working state data; calculating at least one health work index matched with the leasing equipment according to the start-up state description information; the method comprises the steps of dynamically monitoring each health work index, providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter of the renting equipment can provide additional services for the renter, solving the problems that the health work state of the renting equipment of each equipment renter enterprise cannot be effectively monitored and the renting equipment can be effectively, stably and effectively provided with services for the renter in the prior art, and providing a novel technology for dynamically monitoring whether the renting equipment can be used for health work or not so as to ensure that the renter can be effectively, stably and effectively provided with services.
Drawings
FIG. 1 is a flowchart of a status pre-warning method for rental equipment according to an embodiment of the present invention;
FIG. 2 is a flowchart of another status pre-warning method for rental equipment according to the second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a status warning device for rental equipment according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Example 1
Fig. 1 is a flowchart of a status early warning method for a rental device according to an embodiment of the present invention, where the method may be performed by a status early warning device for the rental device, and the device may be implemented in software and/or hardware. The device can be configured in a leasing equipment management platform, the leasing equipment management platform is used for uniformly managing each leasing equipment leased by a plurality of lessees in the leasing direction, and the leasing equipment management platform can provide access channels for the leasing party and the lessee at the same time so that the leasing party or the lessee can inquire each item of information of the leasing equipment. Correspondingly, the method specifically comprises the following steps:
S110, collecting working state data of the leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data.
The operating state data may refer to data synchronously generated by the rental device during the operation, such as temperature data, amplitude data, current data of the rental device, and the like. The start-up status description information may refer to status information of a tenant of the rental equipment performing a production job by running the rental equipment, for example, information such as a time of day that the tenant uses the rental equipment in one week. The start-up status description information may include at least one of: the operating rate, the operating duration, and the operating peak time period at least one time unit. The time units may be day, week, month, etc.
Specifically, working state data of the leasing equipment can be collected in real time, and matched start-up state description information is calculated according to the working state data of the leasing equipment.
In an alternative implementation manner of this embodiment, collecting the operating status data of the rental device in real time may include: and collecting amplitude data of the leasing equipment in real time through equipment handrings arranged on the leasing equipment, and/or collecting current data of the leasing equipment in real time through current collecting devices configured on a power grid line where the leasing equipment is positioned.
Specifically, for a single rental device, the amplitude data of the single rental device can be collected in real time only through the device bracelet; the current data flowing through the leasing equipment can be collected in real time only through the current collecting device on the power network line; amplitude data and corresponding current data can also be acquired.
In another optional implementation manner of this embodiment, calculating the start-up status description information matched with the rental device according to the working status data may include: acquiring equipment basic information of the leasing equipment, and screening out a target working state identification model matched with the leasing equipment from all working state identification models according to the equipment basic information; inputting the working state data into the target working state identification model to acquire start-up state description information matched with the leasing equipment;
the device basic information may include information such as a device brand, a device type, and a device model. The working state recognition model can be pre-trained and used for recognizing and calculating the starting state description information of the leasing equipment according to the working state data of the leasing equipment, and the leasing equipment corresponding to each piece of equipment basic information can train one working state recognition model according to the matched working state data so as to form all the working state recognition models. The target working state recognition model may be a working state recognition model which is screened from all working state recognition models and matches with the equipment basic information of the rental equipment required to calculate the start-up state description information. The device base information may be identification information of a screening target operating state recognition model.
Optionally, for the renting equipment of the currently processed lessee, acquiring the equipment basic information of the renting equipment, taking the equipment basic information as an identifier, and screening a target working state identification model matched with the equipment basic information of the currently processed renting equipment from all working state identification models which are trained in advance and correspond to various renting equipment; further, the working state data of the leasing equipment can be input into a screened target working state identification model to obtain start-up state description information matched with the leasing equipment.
For example, for a certain type of equipment, amplitude data of the equipment can be collected in real time through an equipment bracelet configured on the equipment, current data of the equipment can be collected in real time through a current collecting device on a power network line where the equipment is located, and CPU temperature data of the equipment can be collected in real time through a temperature sensor configured on the equipment; according to the model of the equipment, a working state identification model corresponding to the model is obtained, the acquired amplitude data, current data and temperature data of the equipment are input into the working state identification model, and the starting state description information such as the starting rate, the starting time length and the starting peak time period of the equipment in each week is output.
S120, calculating at least one health work index matched with the leasing equipment according to the start-up state description information.
The health work index may refer to a parameter for measuring whether the working state of the rental device is healthy, for example, a maintenance period, an idle rate, and an electricity limiting impact index.
At least one health work metric index matched with the rental equipment can be calculated according to the start-up state description information obtained through the work state identification model.
In an optional implementation manner of this embodiment, calculating at least one health work metric index matched with the rental equipment according to the start-up status description information may include: according to the equipment basic information of the leasing equipment, acquiring a standard maintenance period matched with the leasing equipment; and adjusting the standard maintenance period according to the start-up state description information and the working environment description information of the leasing equipment to obtain the maintenance period of the leasing equipment.
The standard maintenance period can be a maintenance period corresponding to the ideal working state of the leased equipment when leaving a factory. Each rental device has a corresponding standard maintenance period. The work environment description information may refer to information of an environment in which the rental equipment is located, for example, information of temperature, humidity, etc., when the tenant works using the rental equipment. The maintenance period of the rental equipment can be the maintenance period of the rental equipment obtained by adaptively adjusting the standard maintenance period after judging the loss of the rental equipment according to the start-up state description information and the working environment description information of the rental equipment after the renter takes the rental equipment.
Specifically, after obtaining the standard maintenance period according to the equipment basic information of the rental equipment, the renter of the rental equipment can judge the loss and estimated loss of the rental equipment further according to the start-up state description information and the working environment description information of the rental equipment obtained from the renter of the rental equipment, and adjust the standard maintenance period of the rental equipment to obtain the maintenance period of the rental equipment.
For example, a standard maintenance period of a certain rental device is 3 years, a renter of the rental device obtains 50% of operating rate of the rental device per month and 264 hours of operating duration according to operating state description information and operating environment description information of the renter on the rental device, and the average environment temperature of the rental device per month is 35 ℃ and the average humidity is 45%, so that the lost and estimated loss of the rental device can be judged, and the maintenance period of the rental device is adjusted to be 2 and half years. Correspondingly, if the values of the operating rate, the operating time and the like of the leasing equipment are smaller, and the values of the description information of the environment where the leasing equipment is located are better, the leasing equipment can be maintained according to the standard maintenance period.
According to the start-up status description information, calculating at least one health work index matched with the leasing equipment, and further comprising: acquiring an industry field to which the leasing equipment and/or the lessee belong, and acquiring an average work index matched with the industry field; and calculating the idle rate of the leasing equipment according to the start-up state description information and the average work index.
The average work index may be description information of an average operation state of leased equipment in the industry field, for example, index information such as an average operation rate and an average operation duration. The idle rate of the rental device can be a duty cycle of an idle time period of the rental device at an average work time period relative to an average work index of the rental device in the industry.
Specifically, the average work index of the leasing equipment in the industry field can be obtained according to the leasing equipment and/or the industry field of the leasing equipment lessee; and calculating the idle rate of the leasing equipment by using the start-up state description information and the average work index of the leasing equipment. For example, if a certain rental device has a monthly working time of 88 hours and the average monthly working time index of the industry field to which the rental device belongs is 120 hours, the idle rate of the rental device can be calculated to be (120-88)/120=27%.
If the working time of the leasing equipment is lower than the average index in the industry field, the larger the gap is, the higher the idle rate of the leasing equipment is; if the working time of the leasing equipment is lower than the average index in the industry field, the smaller the gap is, the lower the idle rate of the leasing equipment is. Of course, the duration of the rental device may also be higher than the average index of the industry, where the rental device does not have a corresponding idle rate.
According to the start-up status description information, calculating at least one health work index matched with the leasing equipment, and further comprising:
determining a non-start-up period matched with the leasing equipment according to the start-up state description information; and matching the non-starting time period with the historical published electricity limiting time period, and calculating an electricity limiting influence index according to a matching result.
Wherein, the unoperated period may be a period in which the rental device is not operating. The electricity limit period may refer to a period of time during which a policy is issued to limit electricity usage by a particular enterprise. The limit electricity impact index may refer to the extent to which a limit electricity time period of policy issuance affects rental equipment operation.
Specifically, according to the description information of the start-up state of the renting equipment of the lessee, the time period without the start-up of the renting equipment can be determined, the time period without the start-up of the renting equipment is matched with the historical published limit time period, and the influence degree of the limit time period on the renting equipment is calculated. If the matching degree (namely the real-time coincidence degree) between the unoperated time period and the limited time period of the leasing equipment is higher, the influence degree of the limited time period on the operation of the leasing equipment is deeper, namely, the limited electric influence index is larger; if the unoperated time period of the rental equipment is matched with the limited time period (i.e., the degree of coincidence is detected), the influence degree of the limited time period on the operation of the rental equipment is shallower, i.e., the limited influence index is smaller.
And S130, dynamically monitoring each health work measurement index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter can provide additional services for the renter of the renting equipment.
The early warning condition may refer to an upper limit value of each health work measurement index value of the rental equipment. The alert information may be information presented to the renter of the rental device that alerts the renter that one or more indices of the rental device are up to an alert condition. The additional service may refer to a service provided to the tenant by the rental equipment in addition to the rental service.
Specifically, the calculated health work indexes of the leasing equipment are dynamically monitored to obtain a monitoring result, if each health work index meets the corresponding early warning condition according to the monitoring result, corresponding early warning information can be generated and provided for the leasing party according to the health work indexes meeting the early warning condition, and the leasing party provides more humanized additional services for the lessee of the leasing equipment according to the early warning information.
In an optional implementation manner of this embodiment, the dynamically monitoring each health work metric index, and providing the matched early warning information to the renter of the renting device when determining that the monitoring result determines that the early warning condition is met, may include: and dynamically monitoring the maintenance period of the leasing equipment, and providing maintenance early warning information for the leasing party when the leasing equipment reaches the maintenance time point.
The maintenance time point may be the latest maintenance time point of the rental device obtained after the maintenance period of the rental device is combined from the time when the tenant rents a certain rental device. The maintenance early warning information can be information displayed to the renter and is used for warning the renter that certain renting equipment reaches the latest maintenance time point, and maintenance is needed to be carried out on the renting equipment.
Optionally, dynamically monitoring the maintenance period in the health work index of the leasing equipment, and when judging that the current leasing equipment reaches or is about to reach the maintenance time point, generating maintenance early warning information matched with the leasing equipment and providing the maintenance early warning information for the leasing party.
The dynamically monitoring the health work indexes, and providing the matched early warning information for the renter of the renting equipment when the monitoring result is determined to meet the early warning condition, may further include: dynamically monitoring the idle rate of the leasing equipment, and providing equipment idle early warning for the leasing party when the idle rate is determined to be greater than or equal to a first threshold; collecting a demand order matched with the leasing equipment at a production order release platform, and detecting full-load enterprises with the operating rate greater than or equal to a second threshold in the industry field; and providing the demand order and the full-load enterprise to the renter so that the renter can generate a work rate improvement scheme for the renting equipment.
The first threshold may be an upper limit of an idle rate of the rental equipment relative to an industry domain average index. The equipment idle early warning can be early warning information that the idle time of a certain leasing equipment is too long. The second threshold may be an upper limit of operating rates of all of the same type of equipment in the industry area where the rental equipment is located. The power-on lifting scheme can be a scheme for reducing the idle rate of leased equipment with excessively high idle rate by a pointer.
Specifically, the method comprises the steps of dynamically monitoring the idle rate in the health work index of the leasing equipment, and providing equipment idle early warning for a leasing party of the leasing equipment if the idle rate of the currently monitored leasing equipment is determined to be greater than or equal to the upper limit value, namely, a first threshold value; the demand orders matched with the currently monitored leasing equipment can be collected in the production order release platform, and enterprises with excessively high operating rates (namely, operating rates greater than or equal to a second threshold value) in the industry field corresponding to the leasing equipment, namely, full-load enterprises are detected; further, the renter can generate a scheme for reducing the idle rate of the currently monitored renting equipment according to the collected demand orders and the detected full-load enterprises so as to improve the operating rate of the renting equipment. It can be appreciated that the renter of the renting device can provide information such as a demand order and a full-load enterprise in the industry field to the renter, and the renter can decide or choose to contact the full-load enterprise by himself so as to obtain more orders for the renting device.
The dynamically monitoring the health work indexes, and providing the matched early warning information for the renter of the renting equipment when the monitoring result is determined to meet the early warning condition, may further include: and dynamically monitoring the electricity limiting influence index of the leasing equipment, and providing wind control early warning for the leasing party when the electricity limiting influence index is determined to be greater than or equal to a third threshold value threshold.
The third threshold may be an upper limit of the electronic impact index of the rental equipment. The wind control pre-warning may refer to whether a lessee of the rental equipment has warning information to pay for the rental of the rental equipment.
Specifically, when dynamically monitoring the electricity limiting impact index in the health work index of the leasing equipment, if it is determined that the electricity limiting impact index of the leasing equipment is too high, that is, the degree of influence of the historically issued electricity limiting time period on the starting of the leasing equipment is greater than or equal to a third threshold, it is indicated that the limited electric effect of the lessee of the leasing equipment is deeper, and at the moment, the lessee needs to consider whether the lessee has the capability of repayment of the leasing cost in the future, so that risk control early warning information for the leasing equipment can be generated.
According to the maintenance early warning, the idle early warning and the wind control early warning information, the renter can provide proper additional services for the renter, such as reminding of reaching the maintenance time point service, providing the demand order and the full-load enterprise information, and repayment of the replacement mode service of the renting cost.
According to the technical scheme, working state data of the leasing equipment are collected in real time, and working state description information matched with the leasing equipment is calculated according to the working state data; calculating at least one health work index matched with the leasing equipment according to the start-up state description information; the health work index is dynamically monitored, and when the monitoring result is determined to meet the early warning condition, matched early warning information is provided for the renter of the renting equipment so that the renter of the renting equipment can provide additional services, the technical means that the health work state of the renting equipment of each equipment renting enterprise cannot be effectively monitored in the prior art, and the problem that the renting equipment can be effectively, stably and effectively provided with services for the renter cannot be guaranteed.
Example two
Fig. 2 is a flowchart of another status pre-warning method for rental equipment according to a second embodiment of the present invention, in which operations are preferably further added after calculating start-up status description information matched with the rental equipment according to the working status data, and operations are further added after calculating at least one health work metric matched with the rental equipment according to the start-up status description information, referring to fig. 2, the method specifically includes:
s210, collecting working state data of the leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data.
S220, calculating auxiliary start-up description information matched with the leasing equipment according to the start-up state description information.
The auxiliary operation description information can comprise information such as industry operation rate ranking, region operation rate ranking, residual value range and the like of the leasing equipment. The industry availability ranking may refer to an availability of a tenant corresponding to the currently monitored rental equipment, and within the industry domain to which it belongs, the availability ranking may be ranked in at least one time unit. The regional operation rate ranking may refer to an operation rate of a tenant corresponding to the currently monitored rental equipment, and operation rates of similar devices within a regional range where the operation rate ranking is planned to be known, where the operation rate ranking may be ranked in at least one time unit. The residual value range may refer to a value range to which the rental device corresponds after being used for a period of time.
In this embodiment, the auxiliary start-up description information of the rental device may be calculated based on the start-up state description information of the rental device.
In an optional implementation manner of this embodiment, calculating auxiliary start-up description information matched with the rental equipment according to the start-up state description information may include: screening out the same-industry leasing equipment matched with the leasing equipment according to the leasing equipment and/or the industry field of the lessee, and calculating the industry operating rate ranking of the leasing equipment according to the operating rate of each same-industry leasing equipment; and screening out similar leasing equipment matched with the leasing equipment in a set region range according to the equipment basic information of the leasing equipment, and calculating the region operating rate ranking of the leasing equipment according to the operating rate of each similar leasing equipment.
Specifically, from the industries of the leasing equipment and/or the lessees, screening to obtain all the same-industry leasing equipment matched with the leasing equipment in the same industry and the operation rates corresponding to all the same-industry leasing equipment, thereby obtaining the operation rate ranking of the leasing equipment in the industry; and screening all similar leasing equipment and operating rates corresponding to all similar leasing equipment in a set region range according to the equipment basic information of the leasing equipment, so as to obtain the operating rate ranking of the leasing equipment in the set region range.
In another optional implementation manner of this embodiment, calculating auxiliary start-up description information matched with the rental equipment according to the start-up state description information may include: screening target residual value estimation models matched with the leasing equipment from all residual value estimation models according to the equipment basic information of the leasing equipment; and inputting the start-up state description information of the leasing equipment into the target residual value estimation model to obtain the residual value range of the leasing equipment.
The residual value estimation model can be obtained by training a device sample with a residual value range marked in advance, and the device sample can comprise: and the operation state description information corresponding to the equipment of the target type and the associated equipment belonging to the same industry with the equipment of the target type and the matched residual value range labeling result. The target residual value estimation model may be a target model selected from all residual value estimation models to match the rental equipment currently being processed.
Specifically, the device basic information of the currently processed rental device can be used as a selection identifier, a required target residual value estimation model is selected from all the residual value estimation models trained in advance, and the starting state description information of the currently processed rental device is input into the selected target residual value estimation model, so that the residual value range of the rental device is obtained.
S230, calculating at least one health work index matched with the leasing equipment according to the start-up state description information.
S240, responding to the information inquiry request of the lessee and/or the leasing party, acquiring matched inquiry information from the start-up state description information, the auxiliary start-up description information and the health work index, and displaying the inquiry information.
The information query request may refer to a query request of a lessee and/or a leasing party for information related to the leasing device.
Specifically, when the lessee and/or the leaseholder has a query requirement on information of the leaseholder, information matched with the query requirement of the lessee and/or the leaseholder can be obtained from the start-up status description information, the auxiliary start-up description information and the health work index corresponding to the leaseholder, and the information is displayed to the lessee and/or the leaseholder.
S250, dynamically monitoring each health work index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter can provide additional services for the renter of the renting equipment.
According to the technical scheme, working state data of the leasing equipment are collected in real time, and working state description information matched with the leasing equipment is calculated according to the working state data; calculating auxiliary start-up description information matched with the leasing equipment according to the start-up state description information; calculating at least one health work index matched with the leasing equipment according to the start-up state description information; responding to the information inquiry request of the lessee and/or the leasing party, acquiring matched inquiry information from the start-up state description information, the auxiliary start-up description information and the health work index, and displaying the inquiry information; the health work index is dynamically monitored, and when the monitoring result is determined to meet the early warning condition, matched early warning information is provided for the renter of the renting equipment so that the renter of the renting equipment can provide additional services, the technical means that the health work state of the renting equipment of each equipment renting enterprise cannot be effectively monitored in the prior art, and the problem that the renting equipment can be effectively, stably and effectively provided with services for the renter cannot be guaranteed.
On the basis of the above embodiments, it is preferable that the method further comprises: responding to a substitute equipment recommendation request of the lessee for the leasing equipment, and acquiring an industry operation rate ranking and a region operation rate ranking of the leasing equipment; screening target replacement equipment with the rank positioned in front of the leasing equipment from all the equipment according to the industry operation rate rank and the region operation rate rank; pushing the target replacement device to the tenant.
Wherein, the substitute device recommendation request may refer to recommendation information that the tenant wishes to obtain, and the recommendation information may include a substitute device for a device currently rented by the tenant. The target replacement device may refer to a replacement device that is capable of implementing the functionality of the current rental device while having performance, etc., that is superior to the current rental device.
Specifically, if the tenant has a replacement requirement for the current rental device, the industry operation rate ranking and the region operation rate ranking of the current rental device can be obtained, the target replacement device is screened from all devices above the current rental device operation rate ranking to be recommended to the tenant, and finally the tenant can decide whether to rent the target replacement device.
The advantage of this is that by recommending target replacement devices, a more comfortable service experience can be obtained with the lessee.
Example III
Fig. 3 is a schematic structural diagram of a status pre-warning device for rental equipment according to a third embodiment of the present invention, where the status pre-warning device can execute the status pre-warning method for rental equipment according to any embodiment of the present invention. Referring to fig. 3, the apparatus includes: a start-up state description information calculation module 310, a health work metric calculation module 320 and an early warning module 330.
The start-up state description information calculation module 310 is configured to collect working state data of the rental equipment in real time, and calculate start-up state description information matched with the rental equipment according to the working state data;
a health work metric calculation module 320, configured to calculate at least one health work metric matched with the rental device according to the start-up status description information;
and the early warning module 330 is configured to dynamically monitor each health work index, and provide matched early warning information for a renter of the renting equipment when the monitoring result is determined to satisfy the early warning condition, so that the renter can provide additional services for the renter of the renting equipment.
According to the technical scheme, working state data of the leasing equipment are collected in real time, and working state description information matched with the leasing equipment is calculated according to the working state data; calculating at least one health work index matched with the leasing equipment according to the start-up state description information; the health work index is dynamically monitored, and when the monitoring result is determined to meet the early warning condition, matched early warning information is provided for the renter of the renting equipment so that the renter of the renting equipment can provide additional services, the technical means that the health work state of the renting equipment of each equipment renting enterprise cannot be effectively monitored in the prior art, and the problem that the renting equipment can be effectively, stably and effectively provided with services for the renter cannot be guaranteed.
In the above apparatus, optionally, the start-up status description information calculating module 310 may be specifically configured to:
Collecting amplitude data of the leasing equipment in real time through equipment handrings arranged on the leasing equipment, and/or
And collecting current data of the leasing equipment in real time through a current acquisition device configured on a power network line where the leasing equipment is located.
In the above apparatus, optionally, the start-up status description information calculating module 310 may be further specifically configured to:
acquiring equipment basic information of the leasing equipment, and screening out a target working state identification model matched with the leasing equipment from all working state identification models according to the equipment basic information;
inputting the working state data into the target working state identification model to acquire start-up state description information matched with the leasing equipment;
wherein, the start-up state description information comprises at least one of the following: the operating rate, the operating duration, and the operating peak time period at least one time unit.
In the above apparatus, optionally, the health work metric calculation module 320 may be specifically configured to:
according to the equipment basic information of the leasing equipment, acquiring a standard maintenance period matched with the leasing equipment;
according to the start-up state description information and the working environment description information of the leasing equipment, the standard maintenance period is adjusted, and the maintenance period of the leasing equipment is obtained;
The early warning module 330 may be specifically configured to:
and dynamically monitoring the maintenance period of the leasing equipment, and providing maintenance early warning information for the leasing party when the leasing equipment reaches the maintenance time point.
In the above apparatus, optionally, the health work metric index calculation module 320 may be further specifically configured to:
acquiring an industry field to which the leasing equipment and/or the lessee belong, and acquiring an average work index matched with the industry field;
calculating the idle rate of the leasing equipment according to the start-up state description information and the average work index;
the early warning module 330 may be further specifically configured to:
dynamically monitoring the idle rate of the leasing equipment, and providing equipment idle early warning for the leasing party when the idle rate is determined to be greater than or equal to a first threshold;
collecting a demand order matched with the leasing equipment at a production order release platform, and detecting full-load enterprises with the operating rate greater than or equal to a second threshold in the industry field;
and providing the demand order and the full-load enterprise to the renter so that the renter can generate a work rate improvement scheme for the renting equipment.
In the above apparatus, optionally, the health work metric index calculation module 320 may be further specifically configured to:
determining a non-start-up period matched with the leasing equipment according to the start-up state description information;
matching the non-starting time period with the historical published electricity limiting time period, and calculating an electricity limiting influence index according to a matching result;
the early warning module 330 may be further specifically configured to:
and dynamically monitoring the electricity limiting influence index of the leasing equipment, and providing wind control early warning for the leasing party when the electricity limiting influence index is determined to be greater than or equal to a third threshold value threshold.
In the above apparatus, optionally, the apparatus further includes an auxiliary start-up description information calculating module, configured to, after calculating start-up description information matched with the rental equipment according to the working state data:
calculating auxiliary start-up description information matched with the leasing equipment according to the start-up state description information;
the query information display module is used for calculating at least one health work metric index matched with the leasing equipment according to the start state description information:
and responding to the information inquiry request of the lessee and/or the leasing party, acquiring matched inquiry information from the start-up state description information, the auxiliary start-up description information and the health work index, and displaying the inquiry information.
In the above apparatus, optionally, the auxiliary start description information calculating module may be specifically configured to:
screening out the same-industry leasing equipment matched with the leasing equipment according to the leasing equipment and/or the industry field of the lessee, and calculating the industry operating rate ranking of the leasing equipment according to the operating rate of each same-industry leasing equipment; and
and screening out similar leasing equipment matched with the leasing equipment in a set region range according to the equipment basic information of the leasing equipment, and calculating the region operating rate ranking of the leasing equipment according to the operating rate of each similar leasing equipment.
In the above device, optionally, the auxiliary start description information calculating module may be further specifically configured to:
screening target residual value estimation models matched with the leasing equipment from all residual value estimation models according to the equipment basic information of the leasing equipment;
inputting the start-up state description information of the leasing equipment into the target residual value estimation model to obtain the residual value range of the leasing equipment;
the residual value estimation model is obtained by training a device sample with a residual value range marked in advance, and the device sample comprises the following components: and the operation state description information corresponding to the equipment of the target type and the associated equipment belonging to the same industry with the equipment of the target type and the matched residual value range labeling result.
In the above apparatus, optionally, the target replacement device pushing module is further configured to:
responding to a substitute equipment recommendation request of the lessee for the leasing equipment, and acquiring an industry operation rate ranking and a region operation rate ranking of the leasing equipment;
screening target replacement equipment with the rank positioned in front of the leasing equipment from all the equipment according to the industry operation rate rank and the region operation rate rank;
pushing the target replacement device to the tenant.
The status early warning device of the leasing equipment provided by the embodiment of the invention can execute the status early warning method of the leasing equipment provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention, where, as shown in fig. 4, the device includes a processor 410, a storage device 420, an input device 430, and an output device 440; the number of processors 410 in the device may be one or more, one processor 410 being taken as an example in fig. 4; the processor 410, the storage 420, the input 430, and the output 440 in the apparatus may be connected by a bus or other means, which is illustrated in fig. 4 as a bus connection.
The storage device 420 is used as a computer readable storage medium, and can be used to store a software program, a computer executable program, and a module, such as program instructions/modules corresponding to the status warning method of the rental device in the embodiment of the invention (for example, the start-up status description information calculating module 310, the health work metric calculating module 320, and the warning module 330 in the status warning device of the rental device). Processor 410 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in storage 420, i.e., implements the status pre-warning method of rental devices described above, which includes:
collecting working state data of leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data;
calculating at least one health work index matched with the leasing equipment according to the start-up state description information;
and dynamically monitoring each health work index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter can provide additional services for the renter of the renting equipment.
The storage device 420 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, at least one application program required for functions; the storage data area may store data created according to the use of the terminal, etc. In addition, the storage 420 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some examples, the storage 420 may further include memory remotely located with respect to the processor 410, which may be connected to the device via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input means 430 may be used to receive entered numeric or character information and to generate key signal inputs related to user settings and function control of the device. The output 440 may include a display device such as a display screen.
Example five
A fifth embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program for executing a status pre-warning method of rental equipment when executed by a computer processor, the method comprising:
Collecting working state data of leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data;
calculating at least one health work index matched with the leasing equipment according to the start-up state description information;
and dynamically monitoring each health work index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition, so that the renter can provide additional services for the renter of the renting equipment.
Of course, the computer readable storage medium provided by the embodiment of the present invention has a computer program stored thereon, and the computer program is not limited to the method operations described above, but may also perform related operations in the status early warning method of the rental device provided by any embodiment of the present invention.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the embodiment of the status early warning device of the rental apparatus, each unit and module included are only divided according to the functional logic, but not limited to the above-mentioned division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (12)
1. The status early warning method of the leasing equipment is characterized by comprising the following steps of:
collecting working state data of leasing equipment in real time, and calculating start-up state description information matched with the leasing equipment according to the working state data; the start-up state description information comprises at least one of the following: operating rate, operating duration and operating peak time period under at least one time unit;
Calculating at least one health work index matched with the leasing equipment according to the start-up state description information;
dynamically monitoring each health work index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition so as to provide additional services for the renter of the renting equipment;
wherein, according to the start-up status description information, calculating at least one health work index matched with the leasing equipment, comprising:
acquiring an industry field to which the leasing equipment and/or the lessee belong, and acquiring an average work index matched with the industry field;
calculating the idle rate of the leasing equipment according to the start-up state description information and the average work index;
the dynamically monitoring the health work indexes, and providing matched early warning information for the renter of the renting equipment when the monitoring result is determined to meet the early warning condition, comprising:
dynamically monitoring the idle rate of the leasing equipment, and providing equipment idle early warning for the leasing party when the idle rate is determined to be greater than or equal to a first threshold;
Collecting a demand order matched with the leasing equipment at a production order release platform, and detecting full-load enterprises with the operating rate greater than or equal to a second threshold in the industry field;
and providing the demand order and the full-load enterprise to the renter so that the renter can generate a work rate improvement scheme for the renting equipment.
2. The method of claim 1, wherein collecting operational status data of the rental device in real-time comprises:
collecting amplitude data of the leasing equipment in real time through equipment handrings arranged on the leasing equipment, and/or
And collecting current data of the leasing equipment in real time through a current acquisition device configured on a power network line where the leasing equipment is located.
3. The method of claim 2, wherein calculating start-up status description information matching the rental equipment based on the operational status data, comprises:
acquiring equipment basic information of the leasing equipment, and screening out a target working state identification model matched with the leasing equipment from all working state identification models according to the equipment basic information;
and inputting the working state data into the target working state identification model to acquire start-up state description information matched with the leasing equipment.
4. The method of claim 3, wherein calculating at least one health work metric index matching the rental equipment based on the start-up status description information, comprises:
according to the equipment basic information of the leasing equipment, acquiring a standard maintenance period matched with the leasing equipment;
according to the start-up state description information and the working environment description information of the leasing equipment, the standard maintenance period is adjusted, and the maintenance period of the leasing equipment is obtained;
the dynamically monitoring the health work indexes, and providing matched early warning information for the renter of the renting equipment when the monitoring result is determined to meet the early warning condition, comprising:
and dynamically monitoring the maintenance period of the leasing equipment, and providing maintenance early warning information for the leasing party when the leasing equipment reaches the maintenance time point.
5. The method of claim 3, wherein calculating at least one health work metric index matching the rental equipment based on the start-up status description information, comprises:
determining a non-start-up period matched with the leasing equipment according to the start-up state description information;
Matching the non-starting time period with the historical published electricity limiting time period, and calculating an electricity limiting influence index according to a matching result;
the dynamically monitoring the health work indexes, and providing matched early warning information for the renter of the renting equipment when the monitoring result is determined to meet the early warning condition, comprising:
and dynamically monitoring the electricity limiting influence index of the leasing equipment, and providing wind control early warning for the leasing party when the electricity limiting influence index is determined to be greater than or equal to a third threshold value threshold.
6. The method of any one of claims 1-5, further comprising, after calculating start-up status description information matching the rental device based on the work status data:
calculating auxiliary start-up description information matched with the leasing equipment according to the start-up state description information;
after calculating at least one health work metric index matching the rental equipment based on the start-up status description information, further comprising:
and responding to the information inquiry request of the lessee and/or the leasing party, acquiring matched inquiry information from the start-up state description information, the auxiliary start-up description information and the health work index, and displaying the inquiry information.
7. The method of claim 6, wherein calculating auxiliary start-up description information matching the rental equipment based on the start-up status description information, comprises:
screening out the same-industry leasing equipment matched with the leasing equipment according to the leasing equipment and/or the industry field of the lessee, and calculating the industry operating rate ranking of the leasing equipment according to the operating rate of each same-industry leasing equipment; and
and screening out similar leasing equipment matched with the leasing equipment in a set region range according to the equipment basic information of the leasing equipment, and calculating the region operating rate ranking of the leasing equipment according to the operating rate of each similar leasing equipment.
8. The method of claim 6, wherein calculating auxiliary start-up description information matching the rental equipment based on the start-up status description information, comprises:
screening target residual value estimation models matched with the leasing equipment from all residual value estimation models according to the equipment basic information of the leasing equipment;
inputting the start-up state description information of the leasing equipment into the target residual value estimation model to obtain the residual value range of the leasing equipment;
The residual value estimation model is obtained by training a device sample with a residual value range marked in advance, and the device sample comprises the following components: and the operation state description information corresponding to the equipment of the target type and the associated equipment belonging to the same industry with the equipment of the target type and the matched residual value range labeling result.
9. The method as recited in claim 7, further comprising:
responding to a substitute equipment recommendation request of the lessee for the leasing equipment, and acquiring an industry operation rate ranking and a region operation rate ranking of the leasing equipment;
screening target replacement equipment with the rank positioned in front of the leasing equipment from all the equipment according to the industry operation rate rank and the region operation rate rank;
pushing the target replacement device to the tenant.
10. A status early warning device for rental equipment, comprising:
the start-up state description information calculation module is used for collecting working state data of the leasing equipment in real time and calculating start-up state description information matched with the leasing equipment according to the working state data; the start-up state description information comprises at least one of the following: operating rate, operating duration and operating peak time period under at least one time unit;
The health work weighing index calculation module is used for calculating at least one health work weighing index matched with the leasing equipment according to the start state description information;
the early warning module is used for dynamically monitoring each health work measurement index, and providing matched early warning information for a renter of the renting equipment when the monitoring result is determined to meet the early warning condition so as to provide additional services for the renter of the renting equipment;
the health work weighing index calculation module is specifically used for:
acquiring an industry field to which the leasing equipment and/or the lessee belong, and acquiring an average work index matched with the industry field;
calculating the idle rate of the leasing equipment according to the start-up state description information and the average work index;
the early warning module is specifically used for:
dynamically monitoring the idle rate of the leasing equipment, and providing equipment idle early warning for the leasing party when the idle rate is determined to be greater than or equal to a first threshold;
collecting a demand order matched with the leasing equipment at a production order release platform, and detecting full-load enterprises with the operating rate greater than or equal to a second threshold in the industry field;
And providing the demand order and the full-load enterprise to the renter so that the renter can generate a work rate improvement scheme for the renting equipment.
11. An electronic device, the electronic device comprising:
one or more processors;
a storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the status pre-warning method of a rental device of any one of claims 1-9.
12. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements a status pre-warning method of a rental device according to any one of claims 1-9.
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| 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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