CN114463096A - Information pairing method, device, equipment and medium - Google Patents
Information pairing method, device, equipment and medium Download PDFInfo
- Publication number
- CN114463096A CN114463096A CN202210134541.8A CN202210134541A CN114463096A CN 114463096 A CN114463096 A CN 114463096A CN 202210134541 A CN202210134541 A CN 202210134541A CN 114463096 A CN114463096 A CN 114463096A
- Authority
- CN
- China
- Prior art keywords
- target
- equipment
- industrial
- alternative
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 51
- 230000002159 abnormal effect Effects 0.000 claims abstract description 123
- 238000012216 screening Methods 0.000 claims abstract description 61
- 238000012544 monitoring process Methods 0.000 claims description 18
- 238000003860 storage Methods 0.000 claims description 14
- 238000001914 filtration Methods 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000004519 manufacturing process Methods 0.000 abstract description 21
- 239000002699 waste material Substances 0.000 abstract description 5
- 238000005516 engineering process Methods 0.000 description 9
- 230000002238 attenuated effect Effects 0.000 description 8
- 230000008569 process Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 5
- 239000002994 raw material Substances 0.000 description 5
- 238000013473 artificial intelligence Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000012790 confirmation Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 230000003203 everyday effect Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000013135 deep learning Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000011065 in-situ storage Methods 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008707 rearrangement Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0645—Rental transactions; Leasing transactions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The embodiment of the invention discloses an information pairing method, an information pairing device, information pairing equipment and an information pairing medium. The method comprises the steps of collecting working state description data of each industrial device in real time, and calculating operation rate fluctuation description information of each industrial device; screening target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment from all electronic lease orders according to the equipment type of the target equipment; and screening target renting orders respectively corresponding to the target equipment in the alternative renting orders according to the abnormal idle time period and the equipment position information of the target equipment, and establishing an information pairing relation between the target equipment and the matched target renting orders. The problem of idle equipment productivity waste of industrial manufacturing enterprise is solved for productivity utilization rate maximize.
Description
Technical Field
The present invention relates to computer data processing technologies, and in particular, to an information pairing method, apparatus, device, and medium.
Background
In the current industrial manufacturing field, equipment of a manufacturing enterprise is quite common in an idle state, and in addition, updated old equipment is in an idle state for a long time before being sold, so that the problem of resource waste caused by the situations is solved.
The equipment in the industrial manufacturing field is valuable, expensive, bulky, heavy and the like, and once in an idle state, it occupies a large space and cannot generate any economic value. The new generation of equipment for second-hand equipment sales also requires a considerable amount of time to find the business that needs to be purchased, which is the case with the equipment. Most of the manufacturers take the problem of difficulty in moving heavy equipment into consideration, and exclude the approach of doing business lease to generate economic value, so most of the manufacturers have more or less idle equipment occupying the field at the present stage.
At present, the methods for counting the idle equipment state of the manufacturing industry all adopt a door-to-door communication confirmation or a mode of contacting the responsible person of the enterprise to know, so that the problems of information delay and equipment state change can not be known in time exist.
Disclosure of Invention
The embodiment of the invention provides an information pairing method, device, equipment and medium, which aim to improve the utilization rate of large-scale industrial equipment to the greatest extent.
In a first aspect, an embodiment of the present invention provides an information pairing method, including:
collecting working state description data of each industrial device in real time, and calculating operating rate fluctuation description information of each industrial device according to the working state description data;
screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively;
screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment;
screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices;
and establishing an information pairing relation between each target device and the matched target lessee order.
In a second aspect, an embodiment of the present invention further provides an information pairing apparatus, where the information pairing apparatus includes:
the operation rate fluctuation description information calculation module is used for collecting the working state description data of each industrial device in real time and calculating the operation rate fluctuation description information of each industrial device;
the target equipment determining module is used for screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information and determining abnormal idle time periods corresponding to the target equipment respectively;
the alternative lessee order screening module is used for screening alternative lessee orders respectively corresponding to the target equipment in all electronic lessee orders according to the equipment type of the target equipment;
a target renting order obtaining module, configured to filter, according to the abnormal idle time period and the device location information of each target device, each alternative renting order to obtain a target renting order corresponding to each target device;
and the information pairing relationship establishing module is used for establishing an information pairing relationship between each target device and the matched target lessee orders.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the information pairing method according to any embodiment of the present invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the information pairing method according to any embodiment of the present invention.
According to the technical scheme provided by the embodiment of the invention, the operating state description data of each industrial device is collected in real time, and the operating rate fluctuation description information of each industrial device is calculated according to each operating state description data; screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices; and establishing an information pairing relation between each target device and the matched target lessee order. According to the technical scheme of the embodiment of the invention, the matched relationship is established between the most matched lessee order and the abnormal idle industrial equipment by dynamically monitoring the abnormal idle industrial equipment and screening out all the lessee orders, so that the problem of waste of the idle equipment yield of an industrial manufacturing enterprise is solved, the idle resources are integrated and the required lessee enterprises are butted, the yield utilization rate is maximized, the production delivery efficiency of the manufacturing industry is further improved, and the development of the whole manufacturing industry is promoted.
Drawings
Fig. 1 is a flowchart of an information pairing method according to an embodiment of the present invention;
fig. 2 is a flowchart of another information pairing method according to an embodiment of the present invention;
fig. 3 is a flowchart of another information pairing method according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an information pairing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present invention are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in the present invention are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that reference to "one or more" unless the context clearly dictates otherwise.
The names of messages or information exchanged between devices in the embodiments of the present invention are for illustrative purposes only, and are not intended to limit the scope of the messages or information.
The embodiment of the invention can provide the rental service related data of the industrial equipment for the computer system realized based on the artificial intelligence technology. Among them, Artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human Intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a robot technology, a biological recognition technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
Fig. 1 is a flowchart of an information pairing method according to an embodiment of the present invention. The method and the system are suitable for performing the operational lease on the enterprise equipment which is shut down for a long time or has insufficient capacity, and change the passive treatment into the active operation, so that the conditions of filling the liquidity and reusing the idle resources are realized. The method of the embodiment may be performed by an information pairing apparatus, which may be implemented by software and/or hardware, and may be configured in a server of an electronic transaction platform. As shown in fig. 1, the method specifically includes the following steps:
and S110, collecting the working state description data of each industrial device in real time, and calculating the operation rate fluctuation description information of each industrial device according to each working state description data.
The operation state description data may refer to description information for determining whether the industrial device is in an operation or running state, and the operation state description data may be current data, amplitude data, surface temperature, sound data, and the like of the industrial device. The operation rate fluctuation description information may be information describing operation rate fluctuation conditions of each industrial device in a certain period.
Optionally, the collecting the description data of the working state of each industrial device in real time includes: through the equipment bracelet that sets up on each industrial equipment, collect in real time each industrial equipment's amplitude data and/or through the current acquisition device of configuration on each industrial equipment place electric network line, collect in real time each industrial equipment's current data.
Wherein, the amplitude data of each industrial equipment can real-time collection to equipment bracelet. Specifically, because each industrial equipment can operate and produce vibration amplitude at the during operation, can further judge whether each industrial equipment is in operating condition through equipment bracelet from this.
Correspondingly, the current acquisition device can collect current data of each industrial device in real time. Specifically, each industrial device generates corresponding current data when operating, so that whether each industrial device is in a working state can be further judged through the current data acquired by the current acquisition device.
Amplitude data of each industrial device is collected through the device bracelet, and whether each industrial device works is judged according to the collected amplitude data. However, in the process of moving workers and not working, each industrial device still generates amplitude data, so that judgment is only carried out through the amplitude data collected by the device bracelet, and misjudgment may occur.
Further, whether each industrial device works or not is judged according to the collected current data through the current data collected by the current collecting device. However, each industrial device may acquire current data under other fault conditions, for example, leakage of electricity in the industrial device. Therefore, it is explained that the judgment is performed only by the current data collected by the current collection device, and there may be a case of erroneous judgment.
In summary, the amplitude data of each industrial device is collected through the device bracelet, and whether each industrial device works is further judged through the current data and the amplitude data through the current data collected by the current collecting device.
Correspondingly, after the working state description data of each industrial device is obtained, the operating rate of each industrial device in each day, the current week or each month can be calculated according to each working state description data, and then the difference value between the operating rates of a plurality of continuous days, weeks or months can be determined as the operating rate fluctuation description information of each industrial device.
And S120, screening target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively.
According to the operation rate fluctuation description information, all the devices meeting the operation rate abnormal attenuation condition can be screened out and determined as target devices; or, after each device meeting the abnormal attenuation condition of the operating rate is screened out firstly, the fault device in each device can be screened out to obtain the final target device.
The abnormal idle period may be an idle period that is acquired after the screened target device is used for external rental.
Optionally, screening out target devices that satisfy the abnormal operating rate attenuation condition from among all the industrial devices may include: screening to obtain alternative target equipment with the operation rate abnormally attenuated along with time according to the operation rate fluctuation description information of each industrial equipment in a preset observation time interval; and filtering out fault equipment included in each candidate target equipment to obtain the target equipment.
By analyzing the working state description data of each industrial device at different time points, the working time of each industrial device per day, per week or per month, or the work rate can be determined, and the work rate fluctuation description information of each industrial device can be calculated according to the work rate. By analyzing the operation rate fluctuation description information of each industrial device, the industrial device meeting the abnormal operation rate attenuation condition can be determined.
If an industrial device is abnormally attenuated in operation rate, there may be various reasons, for example, the industrial device is out of order due to upgrading, or the industrial device is passively idle due to lack of production order.
It can be understood that if the operation rate of an industrial device is abnormally attenuated due to a fault, the industrial device can be rented outwards, so that the utilization rate and the capacity of the industrial device are improved.
Correspondingly, after the industrial equipment meeting the abnormal operating rate attenuation condition is obtained, the fault equipment can be screened out from the industrial equipment, and then the rest industrial equipment can be determined as the target equipment meeting the abnormal operating rate attenuation condition.
In order to further improve the accuracy of determining the target equipment, after the faulty equipment is screened out from each industrial equipment, a lease confirmation request can be further sent to an owner of each industrial equipment, the owner confirms whether each target equipment can be leased and used by other users, and each industrial equipment leased by the owner confirmation can be determined as the target equipment meeting the abnormal operating rate attenuation condition. By the above arrangement, it is possible to further screen out industrial equipment which may be restored to normal production in a short period of time or have a rebound of operation rate in the next period of time.
Further, in order to rent the target devices outwards, it is necessary to determine the abnormal idle periods respectively corresponding to each target device at the same time, that is, within what time period in the future, the renting service can be provided outwards.
In an optional implementation manner of this embodiment, the reason for the abnormal attenuation of the operating rate of each target device may be further determined according to the operating state description data of each industrial device, for example, when it is determined that a certain target device belongs to an upgraded and obsolete industrial device, a longest lease time point (for example, after three months) may be preset, and then, a full time period composed of the current time point and the longest lease time point may be used as an abnormal idle time period corresponding to the industrial device; or, when it is determined that a certain target device belongs to the industrial device which is passively idle due to lack of the production order, the working time interval of the target device may be predicted in a time interval composed of the current time point and the longest lease time point, and the difference interval obtained after the working time interval is filtered from the time interval may be used as the abnormal idle time interval corresponding to the industrial device.
In another optional implementation manner of this embodiment, the abnormal idle period of each target device may also be acquired from the possessor of each target device.
And S130, screening out alternative lease orders respectively corresponding to the target devices from all the electronic lease orders according to the device types of the target devices.
The device type of the target device may be information describing the target device of each industrial device, and may be description information such as a model, a name, or an alias of the target device, which is used to determine a function that the target device can execute. The electronic rental order may be an electronic rental order including rental information issued by a renter requiring the target device on a related rental platform, and specifically, the electronic rental order may include information of the renter, regional information where the renter is located, a device type and rental duration of the target device. The alternative rental order can be the selected rental order which is most matched with the target device in the electronic rental orders which are released on the related rental platforms and contain the rental information.
It should be noted that the main application scenario of the embodiment of the present invention is an open electronic rental platform for various large-scale industrial devices, and a user may select to issue various electronic rental orders or electronic rental orders on the rental platform. Furthermore, the user with the lease requirement or the lease requirement can finally achieve the lease requirement or the lease requirement of the industrial equipment by acquiring the electronic lease order or the electronic lease order.
Illustratively, the target device meeting the abnormal work rate attenuation condition is determined to be device a through analysis, and the lease message is issued by a plurality of lessees on a related lease platform, which may specifically be: "rental order 1: ' company: XX corporation; geographic location: shandong; the device type: a device A; leasing time: one month' "," rental order 2: ' company: XX corporation; geographic location: shanxi; the device type: a device A; leasing time: three month' "and" lease order 3: ' company: XX corporation; geographic location: tianjin; the device type: a device B; leasing time: a week' ", and the like. Furthermore, after all electronic rental orders corresponding to the device a and the device B are obtained on the rental platform, further screening may be performed to screen out corresponding alternative rental orders. Specifically, the alternative rental orders, that is, the rental order 1 and the rental order 2, may be screened out of the above three electronic rental orders.
In this embodiment, first, according to the device type of the target device, in each electronic rental order currently issued in the electronic rental platform, candidate rental orders respectively corresponding to each target device may be screened out. That is, the device type of the industrial device to be rented in the alternative rental order matches the device type of the target device.
And S140, screening the alternative lease orders according to the abnormal idle time period and the device position information of each target device to obtain target lease orders respectively corresponding to each target device.
The device location information may be geographical location information of the target device. As described above, the lease order generally includes the geographic location information of the tenant and the lease duration. The target renting order can be the renting order obtained by matching the geographic position information and the renting duration of the renter in the alternative renting order with the abnormal idle time period and the device position information of each target device.
Generally, each electronic rental order generally includes a rental period, and the rental period of an electronic rental order may be less than an abnormal idle period of a target device. Furthermore, a lease relationship between a plurality of electronic lease orders and a target device can be established at different time intervals, and available abnormal idle time intervals corresponding to each electronic lease order are correspondingly distributed for the target device.
In addition, each electronic lessee order also generally comprises the information of the geographic position of the lessee. On the basis of the fact that the target equipment is inconvenient to move generally, a mode of renting the capacity of the equipment is generally adopted when the target equipment is rented in an operating mode, and in the process of matching the renting business, the position relation between the equipment position information of the target equipment and the geographic position information of the renter is considered at the same time, so that the renter can transport the production raw materials to the site of the renter in time, and the process of carrying the products for multiple times is saved when the products are delivered.
Correspondingly, target rental orders respectively corresponding to the target devices can be obtained by screening the alternative rental orders according to the abnormal idle time periods and the device position information of the target devices and combining the rental duration and the tenant position information included in the alternative rental orders.
For example, it is assumed that the target device satisfying the operation rate abnormal degradation condition is device a, and the device a is santa officinari city a, and the abnormal idle period is one month. Tenant 1, tenant 3, and tenant 4 all want tenant device a, and tenant 2 wants tenant device B.
The renter issues the renting message on the related renting platform, which may specifically be: "rental order 1: the' lessee 1 company: XX corporation; geographic location: shandong province A city; the device type: a device A; leasing time: one month' "," rental order 2: the' lessee 2 company: XX corporation; geographic location: shandong province, B city; the type of the device: a device B; leasing time: three month' "," rental order 3: the' lessee 3 company: XX corporation; geographic location: tianjin; the type of the device: a device A; leasing time: one month' "and" rental order 4: ' tenant 4 company: XX corporation; geographic location: shandong province A city; the device type: a device A; leasing time: three months' ", and the like.
In the process of screening the target rental order, because the target device type to be rented by the tenant 2 is device B, the rental order 2 corresponding to the tenant 2 is removed, and the screened alternative rental orders are rental order 1, rental order 3, and rental order 4. Because the geographic location of the device a is Shandong A city, the geographic location of the lessee 3 is Tianjin, and because of the difference of the geographic locations, the lessee order 3 corresponding to the lessee 3 is removed, so the screened lessee orders are the lessee order 1 and the lessee order 4. Further, since the abnormal idle period of the device a is one month, the rental period required by the tenant 4 is three months, and since the rental period is longer than the difference between the abnormal idle periods, the tenant order 4 corresponding to the tenant 4 is removed, so that the finally obtained target tenant order after the screening is the tenant order 1.
S150, establishing a pairing relation between each target device and the matched target renting order.
In this embodiment, after obtaining each target device and the target tenant orders respectively corresponding to each target device, a pairing relationship between the target device and the target device may be established in a manner of distributing the target tenant orders to the target device owners, or in a manner of distributing various pieces of information of the target devices to the tenants issuing the target tenant orders.
Specifically, when various items of information of the target device are distributed to the lessee issuing the target rental order, the target device needs to be simultaneously allocated to the available abnormal idle period of the target rental order, and the available abnormal idle period is synchronously provided for the lessee issuing the target rental order.
It can be understood that, for a specific target device a, if a target rental order of the target device a cannot be obtained by screening in the electronic rental platform, a matched electronic rental order may be constructed according to the abnormal idle time period of the target device a, the device location information, and the like, and the electronic rental order is issued in the electronic rental platform.
In the previous example, after the screening, the target rental order is the rental order 1, so that the corresponding pairing relationship can be established between each target device of the renter and the target rental order.
Optionally, after the establishing of the pairing relationship between each target device and the matched target rental order, the method may further include: and establishing a pairing relation between each lessee and the site where the target equipment is located and/or the adjacent storage facilities.
Specifically, considering the characteristics of large volume and heavy weight of target equipment, a lessee generally selects a place where the target equipment of a lessee is located to deliver relevant raw materials, and uses the target equipment in situ. The raw materials need to be temporarily stored in the warehouse, and the target equipment also needs to occupy the site when in use, so that the renting relation between each renter and the site where the target equipment is located and/or the adjacent storage facilities can be further matched and established, the paired relation between the renters and the site where the target equipment is located and/or the adjacent storage facilities can be synchronously established while the renting service of the target equipment by the renters is established, the closed loop of the whole renting process is ensured, and the renting service efficiency is improved.
The advantages of such an arrangement are: the problem of inconvenience of storing raw materials by a renter is solved, the renter can obtain corresponding expenses of renting storage facilities, industrial equipment can be rented more reasonably and comprehensively, income channels can be expanded, and accordingly income is increased.
According to the technical scheme provided by the embodiment of the invention, the operating state description data of each industrial device is collected in real time, and the operating rate fluctuation description information of each industrial device is calculated according to each operating state description data; screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices; and establishing an information pairing relation between each target device and the matched target lessee order. According to the technical scheme of the embodiment of the invention, the matched relationship is established between the most matched lessee order and the abnormal idle industrial equipment by dynamically monitoring the abnormal idle industrial equipment and screening out all the lessee orders, so that the problem of waste of the idle equipment yield of an industrial manufacturing enterprise is solved, the idle resources are integrated and the required lessee enterprises are butted, the yield utilization rate is maximized, the production delivery efficiency of the manufacturing industry is further improved, and the development of the whole manufacturing industry is promoted.
Fig. 2 is a flowchart of another information pairing method according to an embodiment of the present invention. In this embodiment, the step of screening out the target devices satisfying the abnormal operating rate attenuation condition from all the industrial devices according to the operating state description data is further refined.
Correspondingly, the method specifically comprises the following steps:
and S210, collecting the working state description data of each industrial device in real time.
And S220, acquiring a historical comparison time interval and a current monitoring time interval.
The historical comparison time interval may be a time interval of a previous time span, the current monitoring time interval may be a time interval of the current time span, and specifically, the working state description data of the time spans of each day, each week, each month, and the like may be acquired.
And S230, determining the current operating rate of each industrial device under a plurality of types of time spans according to each working state description data of each industrial device in the current monitoring time interval.
Among other things, the multiple types of time spans may include daily, weekly, and monthly time spans. The current operation rate may be an operation rate calculated at a time span of the current monitoring time interval.
S240, determining the historical operating rate of each industrial device under the multiple types of time spans according to the operating state description data of each industrial device in the historical comparison time interval.
The historical operating rate may be an operating rate calculated under a time span of the historical comparison time interval.
And S250, calculating the difference value of the operating rate of each industrial device under the time spans of multiple types according to the current operating rate and the historical operating rate of each industrial device under the time span of the same type, and using the difference value as the operating rate fluctuation description information.
The difference value of the operating rates can be obtained by subtracting the historical operating rate from the current operating rate.
And S260, acquiring the industrial equipment of which the operating rate difference value exceeds a preset difference threshold under each type of time span as alternative equipment.
The preset difference threshold may be a threshold for limiting a difference value of the operation rate, and specifically, when the difference value of the operation rate is greater than the preset difference threshold, it may be determined that the device is an alternative device in which the operation rate is abnormally attenuated along with time; if the difference value of the operating rate is smaller than or equal to the preset difference threshold, the equipment is determined not to be alternative equipment with abnormal attenuation of the operating rate along with the time.
For example, the operating rate is further calculated assuming that the operating state description data is acquired every day for a period. Assuming that the operating rate of the company XX in 12 months 13 days of XX to 19 days of XX in 12 months of XX is 50%, 90%, 100%, 30%, 20%, 0% and 80%, respectively, the operating rate of the company XX in 7 days can be calculated, and then the operating rate of each day can be calculated to be 38.57%, that is, the current operating rate of the current monitoring time interval is 38.57%.
Correspondingly, the historical comparison time interval can acquire the working state description data of the company from 12 months 6 days in XX year to 12 months 12 days in XX year, and the working rates of the company in 7 days can be calculated to be 80%, 90%, 100%, 80%, 90%, 100% and 80%, respectively, so that the working rate of each day can be calculated to be 88.57%, namely the historical working rate of the historical comparison time interval is 88.57%.
Therefore, compared with the historical operating rate of the historical comparison time interval, the current operating rate of the current monitoring time interval is attenuated by 50%, namely the operating rate difference value is 50%. If the preset difference threshold of the difference value of the operating rate of the current device is 30%, the device can be determined to be an alternative device with the operating rate being abnormally attenuated along with time. If the preset difference threshold of the difference value of the operating rate of the current device is 60%, it can be determined that the device does not belong to the alternative device with the operating rate being abnormally attenuated along with time.
S270, filtering out fault equipment included in each alternative equipment to obtain the target equipment.
The fault equipment can be caused by that the industrial equipment fails to work normally due to the fault of the industrial equipment, so that the operation rate of the equipment is abnormally reduced along with time.
Specifically, when the obtained device is a candidate device whose operating rate is abnormally attenuated with time, it is necessary to determine whether the device is a faulty device, and if the device is a faulty device, the device needs to be removed, so that the target device can be further obtained.
Optionally, the filtering out the faulty devices included in each of the candidate devices to obtain the target device includes: acquiring an amplitude data fluctuation curve of each alternative device in an observation time interval; the observation time interval is a combination of the historical comparison time interval and the current monitoring time interval; comparing the amplitude data fluctuation curves with standard fluctuation curves, and identifying to obtain abnormal amplitude data fluctuation curves; and filtering out fault equipment corresponding to the abnormal amplitude data fluctuation curve in each alternative equipment to obtain the target equipment.
The preset observation time interval may be the period of obtaining the working state description data of each industrial device, and may be the period of collecting and obtaining the data every day, every week and every month. The operation rate can be the ratio of the actual working time of the equipment in one day to the preset working time in one day, and the corresponding operation rate is obtained. The abnormal attenuation may be a reduction in the operating rate due to the operating rate of each industrial device being significantly lower than the historical operating rate.
The amplitude data fluctuation curve may be a fluctuation curve acquired by acquiring through an equipment bracelet or other equipment when the current candidate equipment is in a working state. The standard fluctuation curve can be a corresponding fluctuation curve collected by a certain type of equipment under a normal working state. The abnormal amplitude data fluctuation curve may be an amplitude data fluctuation curve that is largely different from a standard fluctuation curve, so that the amplitude data fluctuation curve of the apparatus is regarded as the abnormal amplitude data fluctuation curve.
The advantages of such an arrangement are: the abnormal amplitude data fluctuation curve is identified and obtained through the acquisition of the amplitude data fluctuation curve of each industrial device and the acquisition of the standard fluctuation curve. Furthermore, the fault equipment can be removed from the alternative equipment to obtain corresponding target equipment, so that damage to the credit of a renter due to the fact that the fault target equipment is rented out is avoided, and economic loss caused by the fact that orders cannot be completed on schedule due to equipment faults of the renter and a lessee is avoided.
And S280, determining abnormal idle time periods corresponding to the target devices respectively.
Optionally, determining the abnormal idle periods corresponding to the target devices respectively includes: and inputting the current operating rate of each target device under the multiple types of time spans into a pre-trained abnormal idle time prediction model, and acquiring abnormal idle time periods corresponding to each target device.
The pre-trained lease time prediction model can further obtain the abnormal idle time periods respectively corresponding to the target devices by inputting the current operating rates of the target devices under a plurality of types of time spans.
Specifically, the target device a and the target device B are input into the pre-trained lease time prediction model according to the current operating rate in the time span of each day, so that the abnormal idle time periods corresponding to the target device a and the target device B respectively can be obtained. Illustratively, it can be obtained that the abnormal idle period corresponding to the target device a is one month (may specifically be XX 9 months to XX 10 months), and the abnormal idle period corresponding to the target device B is a specific certain time period of a certain day (may specifically be XX 9 months, 13 days, 10 hours — XX 9 months, 13 days, 22 days).
Further, the range of the abnormal idle time period is small, for example, when XX year is 9, month and 13, day 10-XX year is 9, month and 13, day 22, the adjacent companies can be considered in advance, so that raw material transportation is relatively convenient, relatively speaking, the range of the abnormal idle time period is small, the number of matched tenants is relatively small, and conversely, the range of the abnormal idle time period is large, and the number of matched tenants is relatively large.
The advantages of such an arrangement are: the current operating rate of each target device under the time spans of the multiple types is input into the pre-trained lease time prediction model, so that the abnormal idle time periods corresponding to the target devices are obtained, and the abnormal idle time periods corresponding to the target devices can be obtained quickly and accurately.
And S290, screening alternative lease orders corresponding to the target devices respectively in all the electronic lease orders according to the device types of the target devices.
And S2100, screening the alternative rental orders according to the abnormal idle time periods and the device position information of the target devices to obtain target rental orders respectively corresponding to the target devices.
And S2110, establishing an information pairing relation between each target device and the matched target lessee orders.
According to the technical scheme provided by the embodiment of the invention, the working state description data of each industrial device is collected in real time, and a historical comparison time interval and a current monitoring time interval are obtained; determining the current operating rate of each industrial device under a plurality of types of time spans according to each working state description data of each industrial device in the current monitoring time interval: determining the historical operating rate of each industrial device under the multiple types of time spans according to the operating state description data of each industrial device in the historical comparison time interval; calculating the difference values of the operating rates of the industrial equipment under the time spans of the multiple types according to the current operating rate and the historical operating rate of the industrial equipment under the time span of the same type, and using the difference values as the operating rate fluctuation description information; acquiring industrial equipment of which the operating rate difference value exceeds a preset difference threshold under each type of time span as alternative equipment; filtering out fault equipment included in each alternative equipment to obtain the target equipment, and determining abnormal idle time periods respectively corresponding to each target equipment; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices; and establishing an information pairing relation between each target device and the matched target lessee order. The method can obtain the alternative equipment with the operating rate abnormally reduced along with the time, remove the fault equipment in the alternative equipment to obtain the corresponding target equipment, avoid the damage to the credit of a leasing party caused by leasing out the fault equipment, avoid the economic loss caused by the fact that orders cannot be completed according to time due to equipment faults of the leasing party and a lessee, save the time cost and maximize the productivity utilization rate.
Fig. 3 is a flowchart of another information pairing method according to an embodiment of the present invention. In this embodiment, the step of screening the target rental orders respectively corresponding to the target devices in the alternative rental orders according to the abnormal idle periods and the device location information of the target devices is further detailed.
Correspondingly, the method specifically comprises the following steps:
s310, collecting the working state description data of each industrial device in real time, and calculating the operation rate fluctuation description information of each industrial device according to the working state description data.
S320, screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively. S330, screening alternative lease orders respectively corresponding to the target equipment in all the electronic lease orders according to the equipment type of the target equipment.
S340, obtaining the device position information corresponding to the current target device which is currently processed, and determining the target searching range according to the device position information.
The device location information may be geographical location information of a current target device. The target search range may be searched in a circular manner by using the location information of the current target device as a search center, and corresponding alternative rental orders are obtained.
And S350, acquiring each alternative lessee order corresponding to the current target equipment, and acquiring the position information of the lessee corresponding to each alternative lessee order.
The tenant location information may be geographic location information of the tenant included in each alternative tenant order.
S360, obtaining target alternative lease orders of which the lease position information is located in the target search range, and extracting lease duration corresponding to each target alternative lease order.
S370, filling the extracted lease duration in the abnormal idle time period of the current target device, expanding the target search range when the sum of the lease duration is determined to be smaller than the abnormal idle time period of the current target device, and filling the lease duration of the new target alternative lease order in the abnormal idle time period of the target device.
For example, it is assumed that the target device satisfying the abnormal operating rate attenuation condition is device a, and the geographic location of the lender is shandong province a city and the rental time is one month. Tenant 1, tenant 3, and tenant 4 all want tenant device a, and tenant 2 wants tenant device B.
The renter issues the renting message on the related renting platform, which may specifically be: "rental order 1: the' lessee 1 company: company XX; geographic location: shandong province A city; the device type: equipment A; leasing time: one month' "," rental order 2: the' lessee 2 company: XX corporation; geographic location: shandong province, B city; the device type: a device B; leasing time: three month' "," rental order 3: the' lessee 3 company: XX corporation; geographic location: tianjin; the device type: equipment A; leasing time: one month' "and" rental order 4: ' tenant 4 company: XX corporation; geographic location: shandong province A city; the device type: equipment A; leasing time: three months' ", and the like.
In the process of screening the target rental order, because the type of the equipment which the tenant 2 wants to rent is equipment B, the rental order 2 corresponding to the tenant 2 is removed, and the selected alternative rental orders are the rental order 1, the rental order 3 and the rental order 4.
First, the device location information corresponding to the current target device is obtained as Shandong province A city, and the device location information is determined as a target search range. Further, acquiring each alternative lessee order corresponding to the current target device, and acquiring the position information of a lessee corresponding to each alternative lessee order, wherein the position information of the lessee corresponding to the lessee order 1 is Shandong province A city; the position information of the lessee corresponding to the lessee order 3 is Tianjin; the position information of the lessee corresponding to the lessee order 4 is Shandong province A city. Then the rental order 3 can be removed due to the difference in geographic locations, resulting in rental order 1 and rental order 4.
And then, obtaining target alternative lease orders of which the lease position information is located in the target search range, and extracting lease duration corresponding to each target alternative lease order, namely the lease duration is one month. Specifically, the renting time of the lessee corresponding to the renting order 1 is one month; the lease duration corresponding to the lease order 4 is three months.
Filling the extracted lease durations in the abnormal idle time period of the current target equipment, expanding the target search range when the sum of the lease durations is determined to be smaller than the abnormal idle time period of the current target equipment, and acquiring the lease durations of a new target alternative lease order to fill the abnormal idle time period of the current target equipment; and determining each target alternative lease order successfully completed with filling processing as a target lease order corresponding to the current target equipment. Because the renting time of the lessee corresponding to the renting order 1 is one month, the renting time of the lessee is met, and the renting time of the rentee order 4 is not met for three months, the renting order 4 is removed to obtain the renting order 1, namely the renting order 1 is the target renting order corresponding to the current target equipment.
And S380, determining each target alternative lessee order successfully completed with the filling processing as a target lessee order corresponding to the current target equipment.
And S390, establishing an information pairing relationship between each target device and the matched target lessee order.
According to the technical scheme provided by the embodiment of the invention, the operating state description data of each industrial device is collected in real time, and the operating rate fluctuation description information of each industrial device is calculated according to each operating state description data; screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; acquiring equipment position information corresponding to current target equipment which is currently processed, and determining a target search range according to the equipment position information; acquiring alternative lease orders corresponding to the current target equipment, and acquiring position information of tenants corresponding to the alternative lease orders respectively; acquiring target alternative lesson orders of which the lesson position information is located in the target search range, and extracting lesson duration corresponding to each target alternative lesson order; filling the extracted lease durations in the abnormal idle time period of the current target equipment, expanding the target search range when the sum of the lease durations is determined to be smaller than the abnormal idle time period of the current target equipment, and filling the lease durations of the new target alternative lease orders in the abnormal idle time period of the target equipment; determining each target alternative lessee order successfully completed with filling processing as a target lessee order corresponding to the current target equipment; and establishing an information pairing relation between each target device and the matched target lessee order. And screening according to the position information of the lessee, the length of the lessee and other information to obtain a target lessee order which is most matched with the target equipment. Therefore, the pairing relationship can be more reasonably established, the pairing success rate is improved, the equipment leasing efficiency is improved, and the maximum productivity utilization rate is further realized.
Fig. 4 is a schematic structural diagram of an information pairing device according to an embodiment of the present invention, where the information pairing device provided in this embodiment may be implemented by software and/or hardware, and may be configured in a server of an electronic transaction platform. As shown in fig. 4, the apparatus may specifically include: the operation rate fluctuation description information calculation module 410, the target device determination module 420, the alternative tenant order screening module 430, the target tenant order obtaining module 440 and the information pairing relationship establishment module 450.
The operating rate fluctuation description information calculation module 410 is configured to collect working state description data of each industrial device in real time, and calculate operating rate fluctuation description information of each industrial device;
a target device determining module 420, configured to screen out, from all industrial devices, a target device that meets an abnormal attenuation condition of the operating rate according to each operating rate fluctuation description information, and determine an abnormal idle time period corresponding to each target device;
an alternative lease order screening module 430, configured to screen, in all electronic lease orders, alternative lease orders that correspond to each of the target devices, according to a device type of each of the target devices;
a target tenant order obtaining module 440, configured to filter, according to the abnormal idle time period and the device location information of each target device, a target tenant order corresponding to each target device in each alternative tenant order;
an information pairing relationship establishing module 450, configured to establish an information pairing relationship between each target device and the matched target tenant order.
According to the technical scheme provided by the embodiment of the invention, the operating state description data of each industrial device is collected in real time, and the operating rate fluctuation description information of each industrial device is calculated according to each operating state description data; screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices; and establishing an information pairing relation between each target device and the matched target lessee order. According to the technical scheme of the embodiment of the invention, the matched relationship is established between the most matched lessee order and the abnormal idle industrial equipment by dynamically monitoring the abnormal idle industrial equipment and screening out all the lessee orders, so that the problem of waste of the idle equipment yield of an industrial manufacturing enterprise is solved, the idle resources are integrated and the required lessee enterprises are butted, the yield utilization rate is maximized, the production delivery efficiency of the manufacturing industry is further improved, and the development of the whole manufacturing industry is promoted.
On the basis of the foregoing embodiments, the operation rate fluctuation description information calculation module 410 may be specifically configured to: the amplitude data of each industrial device is collected in real time through an equipment bracelet arranged on each industrial device, and/or the current data of each industrial device is collected in real time through a current collecting device configured on a power grid line where each industrial device is located.
On the basis of the foregoing embodiments, the operation rate fluctuation description information calculation module 410 may be specifically configured to: acquiring a historical comparison time interval and a current monitoring time interval; determining the current operating rate of each industrial device under a plurality of types of time spans according to each working state description data of each industrial device in the current monitoring time interval: determining the historical operating rate of each industrial device under the multiple types of time spans according to the operating state description data of each industrial device in the historical comparison time interval; and calculating the difference value of the operating rate of each industrial device under the time spans of the multiple types according to the current operating rate and the historical operating rate of each industrial device under the time span of the same type, and using the difference value as the operating rate fluctuation description information.
On the basis of the foregoing embodiments, the target device determining module 420 may specifically include: the alternative equipment acquisition unit is used for acquiring industrial equipment of which the operating rate difference value exceeds a preset difference threshold under each type of time span as alternative equipment; and the target equipment obtaining unit is used for filtering out fault equipment included in each alternative equipment to obtain the target equipment.
On the basis of the foregoing embodiments, the target device obtaining unit may be specifically configured to: acquiring an amplitude data fluctuation curve of each alternative device in an observation time interval; the observation time interval is a combination of the historical comparison time interval and the current monitoring time interval; comparing the amplitude data fluctuation curves with standard fluctuation curves, and identifying to obtain abnormal amplitude data fluctuation curves; and filtering out fault equipment corresponding to the abnormal amplitude data fluctuation curve in each alternative equipment to obtain the target equipment.
On the basis of the foregoing embodiments, the target device determining module 420 may be specifically configured to: and inputting the current operating rate of each target device under the multiple types of time spans into a pre-trained abnormal idle time prediction model, and acquiring abnormal idle time periods corresponding to each target device.
On the basis of the foregoing embodiments, the target tenant order obtaining module 440 may be specifically configured to: acquiring equipment position information corresponding to current target equipment which is currently processed, and determining a target search range according to the equipment position information; acquiring alternative lease orders corresponding to the current target equipment, and acquiring position information of tenants corresponding to the alternative lease orders respectively; acquiring target alternative lesson orders of which the lesson position information is located in the target search range, and extracting lesson duration corresponding to each target alternative lesson order; filling the extracted lease time length in the abnormal idle time period of the current target equipment, expanding the target search range when the sum of the lease time lengths is determined to be smaller than the abnormal idle time period of the current target equipment, and acquiring the lease time length of a new target alternative lease order to fill in the abnormal idle time period of the target equipment; and determining each target alternative lease order successfully completed with filling processing as a target lease order corresponding to the current target equipment.
The information pairing device can execute the information pairing method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
Fig. 5 is a schematic structural diagram of a computer device according to another embodiment of the present invention. As shown in fig. 5, the apparatus includes a processor 510, a memory 520, an input device 530, and an output device 540; the number of the processors 510 in the device may be one or more, and one processor 510 is taken as an example in fig. 5; the processor 510, the memory 520, the input device 530 and the output device 540 of the apparatus may be connected by a bus or other means, as exemplified by the bus connection in fig. 5.
The memory 520 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the information pairing method in the embodiment of the present invention (for example, the operation rate fluctuation description information calculation module 410, the target device determination module 420, the alternative tenant order screening module 430, the target tenant order obtaining module 440, and the information pairing relationship establishing module 450). The processor 510 executes various functional applications and data processing of the device by executing software programs, instructions and modules stored in the memory 520, so as to implement the information pairing method, which includes: collecting working state description data of each industrial device in real time, and calculating operating rate fluctuation description information of each industrial device according to the working state description data; according to the operating rate fluctuation description information, screening out target equipment meeting operating rate abnormal attenuation conditions in all industrial equipment, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices; and establishing an information pairing relation between each target device and the matched target lessee order.
The memory 520 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, memory 520 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, memory 520 may further include memory located remotely from processor 510, which may be connected to devices through 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 device 530 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus. The output device 540 may include a display device such as a display screen.
Embodiments of the present invention also provide a storage medium including computer-readable instructions, which when executed by a computer processor, perform a method for pairing information, the method including: collecting working state description data of each industrial device in real time, and calculating operating rate fluctuation description information of each industrial device according to the working state description data; screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively; screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment; screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices; and establishing an information pairing relation between each target device and the matched target lessee order. Of course, the embodiment of the present invention provides a storage medium containing computer-readable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the information pairing method provided in any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the information pairing device, the included units and modules are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. 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, although the present invention has been described in some detail by the above embodiments, the invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the invention, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. An information pairing method, comprising:
collecting working state description data of each industrial device in real time, and calculating operating rate fluctuation description information of each industrial device according to the working state description data;
screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information, and determining abnormal idle time periods corresponding to the target equipment respectively;
screening alternative lease orders respectively corresponding to the target equipment in all electronic lease orders according to the equipment type of the target equipment;
screening the alternative lease orders to obtain target lease orders respectively corresponding to the target devices according to the abnormal idle time periods and the device position information of the target devices;
and establishing an information pairing relation between each target device and the matched target lessee order.
2. The method of claim 1, wherein collecting operational state descriptive data for each industrial device in real-time comprises:
collecting amplitude data of each industrial device in real time through a device bracelet arranged on each industrial device, and/or
And collecting current data of each industrial device in real time through a current collecting device configured on a power grid line where each industrial device is located.
3. The method of claim 1, wherein calculating the operating rate fluctuation description information of each of the industrial devices according to each of the operating state description data comprises:
acquiring a historical comparison time interval and a current monitoring time interval;
determining the current operating rate of each industrial device under a plurality of types of time spans according to each working state description data of each industrial device in the current monitoring time interval:
determining the historical operating rate of each industrial device under the multiple types of time spans according to each operating state description data of each industrial device in a historical comparison time interval;
and calculating the difference value of the operating rate of each industrial device under the time spans of the multiple types according to the current operating rate and the historical operating rate of each industrial device under the time span of the same type, and using the difference value as the operating rate fluctuation description information.
4. The method according to claim 3, wherein screening out target devices having an operation rate satisfying an abnormal attenuation condition among all the industrial devices according to the operation rate fluctuation description information comprises:
acquiring industrial equipment of which the operating rate difference value exceeds a preset difference threshold under each type of time span as alternative equipment;
and filtering out fault equipment included in each alternative equipment to obtain the target equipment.
5. The method of claim 4, wherein filtering out the faulty device included in each of the candidate devices to obtain the target device comprises:
acquiring an amplitude data fluctuation curve of each alternative device in an observation time interval; the observation time interval is a combination of the historical comparison time interval and the current monitoring time interval;
comparing the amplitude data fluctuation curves with standard fluctuation curves, and identifying to obtain abnormal amplitude data fluctuation curves;
and filtering out fault equipment corresponding to the abnormal amplitude data fluctuation curve in each alternative equipment to obtain the target equipment.
6. The method of claim 3, wherein determining abnormal idle periods corresponding to respective target devices comprises:
and inputting the current operating rate of each target device under the multiple types of time spans into a pre-trained abnormal idle time prediction model, and acquiring abnormal idle time periods corresponding to each target device.
7. The method according to claim 1, wherein the step of screening, according to the abnormal idle period and the device location information of each target device, target tenant orders respectively corresponding to each target device from each alternative tenant order comprises:
acquiring equipment position information corresponding to current target equipment which is currently processed, and determining a target search range according to the equipment position information;
acquiring alternative lease orders corresponding to the current target equipment, and acquiring position information of tenants corresponding to the alternative lease orders respectively;
acquiring target alternative lesson orders of which the lesson position information is located in the target search range, and extracting lesson duration corresponding to each target alternative lesson order;
filling the extracted lease durations in the abnormal idle time period of the current target equipment, expanding the target search range when the sum of the lease durations is determined to be smaller than the abnormal idle time period of the current target equipment, and filling the lease durations of the new target alternative lease orders in the abnormal idle time period of the target equipment;
and determining each target alternative lease order successfully completed with filling processing as a target lease order corresponding to the current target equipment.
8. An information pairing apparatus, comprising:
the operation rate fluctuation description information calculation module is used for collecting the working state description data of each industrial device in real time and calculating the operation rate fluctuation description information of each industrial device;
the target equipment determining module is used for screening out target equipment meeting abnormal attenuation conditions of the operating rate from all industrial equipment according to the operating rate fluctuation description information and determining abnormal idle time periods corresponding to the target equipment respectively;
the alternative lessee order screening module is used for screening alternative lessee orders respectively corresponding to the target equipment in all electronic lessee orders according to the equipment type of the target equipment;
a target renter order obtaining module, configured to filter, according to the abnormal idle time period and the device location information of each target device, a target renter order corresponding to each target device in each alternative renter order;
and the information pairing relationship establishing module is used for establishing an information pairing relationship between each target device and the matched target renting order.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the information pairing method as claimed in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, the computer program, when being executed by a processor, implementing an information pairing method of an industrial device according to any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210134541.8A CN114463096A (en) | 2022-02-14 | 2022-02-14 | Information pairing method, device, equipment and medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210134541.8A CN114463096A (en) | 2022-02-14 | 2022-02-14 | Information pairing method, device, equipment and medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114463096A true CN114463096A (en) | 2022-05-10 |
Family
ID=81412809
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210134541.8A Pending CN114463096A (en) | 2022-02-14 | 2022-02-14 | Information pairing method, device, equipment and medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114463096A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115946132A (en) * | 2023-03-15 | 2023-04-11 | 江西丹巴赫机器人股份有限公司 | Intelligent dense warehouse and logistics robot system and fault monitoring method thereof |
-
2022
- 2022-02-14 CN CN202210134541.8A patent/CN114463096A/en active Pending
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115946132A (en) * | 2023-03-15 | 2023-04-11 | 江西丹巴赫机器人股份有限公司 | Intelligent dense warehouse and logistics robot system and fault monitoring method thereof |
CN115946132B (en) * | 2023-03-15 | 2023-05-30 | 江西丹巴赫机器人股份有限公司 | Intelligent intensive warehouse and logistics robot system and fault monitoring method thereof |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109472372B (en) | Resource data distribution method and device based on leasing equipment and computer equipment | |
CN110796343A (en) | Intelligent dispatching method, device and system | |
CN111177222A (en) | Model testing method and device, computing equipment and storage medium | |
CN103856339A (en) | Method and device for compressing alarm information | |
CN109447432A (en) | A kind of method, apparatus and equipment of emergency command scheduling | |
CN110009347B (en) | Block chain transaction information auditing method and device | |
CN112348345A (en) | Intelligent automatic order dispatching method and system | |
CN110570113A (en) | Work order processing method and system | |
CN111461399A (en) | Method for configuring stagnation point coordinates based on fault nonlinear discrete distribution | |
CN112819258A (en) | Bank branch to store customer quantity prediction method and device | |
CN112465615A (en) | Bill data processing method, device and system | |
CN114463096A (en) | Information pairing method, device, equipment and medium | |
CN111585798A (en) | Network resource parameter configuration method, device and computer readable storage medium | |
CN116074215A (en) | Network quality detection method, device, equipment and storage medium | |
CN113780595B (en) | Method for first-aid repair of base station in power failure and data analysis server | |
CN106447242A (en) | Power consumption service acceptance time limit management method and device | |
CN107590747A (en) | Power grid asset turnover rate computational methods based on the analysis of comprehensive energy big data | |
CN110609761B (en) | Method and device for determining fault source, storage medium and electronic equipment | |
CN113379363A (en) | Urban water supply informatization intelligent management platform | |
CN106600144A (en) | Anti-electricity-theft early warning analysis method with single anomaly analysis | |
CN114881596A (en) | Automatic management method, device and equipment for field inspection | |
CN115529351A (en) | Wisdom city management system based on block chain | |
CN115049107A (en) | Electric quantity prediction system based on thing allies oneself with collection edge calculation | |
CN114493262A (en) | System, method and device for processing electric power big data and computer equipment | |
CN111949246A (en) | Method and device for creating new energy power industry application |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |