CN112149978A - Order distribution method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses an order distribution method and device, electronic equipment and a storage medium, and belongs to the technical field of household appliances. The method comprises the steps of obtaining order description information of a target order of a first object, wherein the order description information is used for describing order requirements of the first object and the target order; acquiring regional environment information of at least one region, wherein the at least one region comprises a target region where an order position of a target order is located; acquiring order related information of a second object, wherein the order related information is information related to order processing; and matching a target object from the second object according to the order description information, the area environment information and the order association information, wherein the target object is an object to which the target order is allocated. According to the method and the device, the customer complaint rate is reduced and the overall service quality is improved while the customer installation service requirement is accurately positioned.
Description
Technical Field
The present application relates to the field of household appliance technologies, and in particular, to a method and an apparatus for order allocation, an electronic device, and a storage medium.
Background
In the household appliance industry, especially the air conditioner sale market, no matter the on-line service or the off-line service, the on-site installation of the household appliances is needed, at present, the household appliances are installed only by manual telephone communication with customers, the installation time is determined, and then the company randomly assigns installers to serve the household appliances, so that the problems of door-to-door delay, poor service evaluation, customer complaints and the like can occur. Such installation services have a negative impact on product sales even because such services are losing more potential customers. Therefore, a more scientific method for dispatching home appliance installation is needed to achieve the purposes of reducing customer complaints and providing high-quality service.
In the related art, the customer of the logistics system signs the receipt information to judge that the customer has received the goods, then contacts the customer through manual customer service, and manually communicates to confirm the specific installation time, confirms the installation position, the surrounding environment and the like. Because the customer is actively contacted manually, some important parameters are often missed in the process of knowing the basic condition of the customer, the information received manually is less, the content is single, and multiple considerations are lacked, so that the evaluation on the customer is not enough, the 'wrong' dispatching is caused, and the overall service is lowered.
Disclosure of Invention
In order to solve the technical problem or at least partially solve the technical problem, the application provides a method, an apparatus, an electronic device, and a storage medium for order allocation.
According to an aspect of an embodiment of the present application, there is provided an order allocation method, including:
acquiring order description information of a target order of a first object, wherein the order description information is used for describing the first object and the order requirement of the target order;
acquiring regional environment information of at least one region, wherein the at least one region comprises a target region where an order position of the target order is located;
acquiring order related information of a second object, wherein the order related information is information related to order processing;
matching a target object from the second object according to the order description information, the area environment information and the order association information, wherein the target object is an object to which the target order is allocated.
Optionally, the obtaining the order description information of the target order of the first object includes:
receiving voice data input by the first object, wherein the voice data is used for describing the target order;
performing voice recognition on the voice data, and extracting order requirement information, wherein the order requirement information is used for describing order requirements of the target order;
extracting emotion information of the first object from the voice data, wherein the emotion information is used for describing emotion of the first object, and the order description information comprises the order demand information and the emotion information.
Optionally, the acquiring the regional environment information of the at least one region includes:
acquiring the order position of the target order;
and acquiring the regional environment information of the at least one region within a preset range according to the order position, wherein the preset range is determined according to the order position.
Optionally, the obtaining the order related information of the second object includes:
determining at least one second object within the preset range;
and respectively acquiring the order related information of each second object in at least one second object.
Optionally, the matching a target object from the second object according to the order description information, the area environment information, and the order association information includes:
determining work order details and work order sequences corresponding to the target order according to the weight information of the order description information and the weight information of the area environment information, wherein the work order details are used for indicating the area position of an object to be dispatched in the second object and the equipment information to be carried, and the work order sequences are used for indicating the dispatching priority of the target order;
and matching the target object from the second object according to the work order detail, the work order sequence and the order correlation information.
Optionally, the determining, according to the weight information of the order description information and the weight information of the regional environment information, the work order details and the work order sequence corresponding to the target order includes:
determining a regional emergency level corresponding to the target order according to the weight information of the regional environment information, wherein the regional emergency level is used for indicating an order dispatching emergency level in the target region where the target order is located;
determining the work order details and an object emergency level corresponding to the target order according to the weight information of the order description information, wherein the object emergency level is used for indicating the order dispatching emergency level of the first object;
and determining the work order sequence of the target order according to the regional emergency level and the object emergency level.
Optionally, the matching the target object from the second object according to the work order details, the work order sequence, and the order association information includes:
determining a service level of the second object according to the weight information of the order association information, wherein the service level is used for indicating the level of the second object for processing the order;
and matching the target object from the second object according to the work order detail, the work order sequence and the service level.
According to another aspect of the embodiments of the present application, there is also provided an order distribution apparatus, including:
the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring order description information of a target order of a first object, and the order description information is used for describing the first object and order requirements of the target order;
the second acquisition module is used for acquiring regional environment information of at least one region, wherein the at least one region comprises a target region where the order position of the target order is located;
the third acquisition module is used for acquiring order related information of a second object, wherein the order related information is information related to order processing;
and the matching module is used for matching a target object from the second object according to the order description information, the regional environment information and the order association information, wherein the target object is an object to which the target order is allocated.
Optionally, the first obtaining module includes:
the receiving unit is used for receiving voice data input by the first object, wherein the voice data is used for describing the target order;
the first extraction unit is used for carrying out voice recognition on the voice data and extracting order requirement information, wherein the order requirement information is used for describing order requirements of the target order;
the second extraction unit is used for extracting emotion information of the first object from the voice data, wherein the emotion information is used for describing emotion of the first object, and the order description information comprises the order demand information and the emotion information.
Optionally, the second obtaining module includes:
a first obtaining unit, configured to obtain the order position of the target order;
a second obtaining unit, configured to obtain the area environment information of the at least one area within a preset range according to the order position, where the preset range is a range determined according to the order position.
Optionally, the third obtaining module includes:
a second object determining unit, configured to determine at least one second object within the preset range;
and the obtaining associated information unit is used for respectively obtaining the order associated information of each second object in at least one second object.
Optionally, the matching module comprises:
a determining unit, configured to determine a work order detail and a work order sequence corresponding to the target order according to the weight information of the order description information and the weight information of the area environment information, where the work order detail is used to indicate an area location where an object to be dispatched in the second object is located and device information to be carried, and the work order sequence is used to indicate a dispatch priority of the target order;
and the matching unit is used for matching the target object from the second object according to the work order detail, the work order sequence and the order correlation information.
Optionally, the determining unit includes:
a determining area emergency level subunit, configured to determine an area emergency level corresponding to the target order according to weight information of the area environment information, where the area emergency level is used to indicate an order dispatch emergency level in the target area where the target order is located;
an object emergency level determining subunit, configured to determine, according to the weight information of the order description information, the work order details and an object emergency level corresponding to the target order, where the object emergency level is used to indicate an order dispatch emergency level of the first object;
and the work order sequencing determining subunit is used for determining the work order sequencing of the target order according to the regional emergency level and the object emergency level.
Optionally, the matching unit includes:
a service level determining subunit, configured to determine a service level of the second object according to the weight information of the order-related information, where the service level is used to indicate a level at which the second object processes an order;
and the matching target object subunit is used for matching the target object from the second object according to the work order detail, the work order sequence and the service level.
According to another aspect of the embodiments of the present application, there is also provided a storage medium including a stored program, which when executed performs the steps of the method for dispatch allocation described above.
According to another aspect of the embodiments of the present application, there is also provided an electronic apparatus, including a processor, a communication interface, a memory, and a communication bus, where the processor, the communication interface, and the memory complete communication with each other through the communication bus; wherein: a memory for storing a computer program; and the processor is used for executing the steps of the method for dispatching the order in the method by running the program stored on the memory.
Embodiments of the present application also provide a computer program product containing instructions, which when run on a computer, cause the computer to perform the steps of the method of dispatch allocation in the above method.
Compared with the prior art, the technical scheme provided by the embodiment of the application has the following advantages:
in the embodiment of the application, the order requirement of the target order of the first object (customer), the order correlation information of the second object (installer) and the dimensional data of each target area where the order position of the target order is located are collected, and the target object served by the order is matched from the second object, so that the customer installation service requirement is accurately located, the customer complaint rate is reduced, and the overall service quality is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic flow chart illustrating an alternative method for order allocation according to an embodiment of the present disclosure;
FIG. 2 is a block diagram of an alternative order distribution apparatus according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an alternative electronic device according to an embodiment of the present disclosure.
Detailed Description
In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments, and the illustrative embodiments and descriptions thereof of the present application are used for explaining the present application and do not constitute a limitation to the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another similar entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
In the current online household appliance market, when the home-in installation service is arranged, whether a customer has received goods is generally judged according to the customer signing-in information of a logistics system, then the customer is contacted through manual customer service, the specific installation time is confirmed through manual communication, the installation position is confirmed, the surrounding environment is confirmed, and the like. Because the client is actively contacted manually, the situation that the installer carelessly speaks to crime the client with different emotions can occur; in addition, omission of some important parameters often occurs in the telephone communication process, so that the preparation is insufficient when an installer installs the mobile phone at home, the use of products is finally delayed, and finally poor evaluation of after-sale installation services is caused. In order to solve the above problem, an embodiment of the present application provides an order allocation method, as shown in fig. 1, the method includes:
step S101, obtaining order description information of a target order of a first object, wherein the order description information is used for describing order requirements of the first object and the target order.
Optionally, call content is set through an intelligent customer service technology, and call records of actively contacting after-sales calls of customers and actively contacting customers of companies after receiving goods are stored in a big data platform storage.
The method comprises the steps of obtaining order description information of a target order of a first object (namely a customer) from a big data platform, wherein the order description information is used for describing order requirements of the first object and the target order.
The target order may be an order for after-sale installation of the current first object, and the order requirement may be information of home appliances, parts, or door installation time for after-sale installation of the current first object.
Step S102, obtaining area environment information of at least one area, wherein the at least one area comprises a target area where an order position of a target order is located.
Optionally, in this embodiment of the application, regional environment information of at least one region is obtained through a crawler and a form and method cooperating with a weather prediction department, where the environmental information refers to weather conditions, and the main collected content includes dimensional information such as temperature and humidity, temperature and humidity trend prediction, local regional temperature difference, air quality, weather conditions, and the collected data may be stored in a big data platform storage.
The regional environment information may be a weather condition of a current geographic location of the client, and preferably a weather condition of a target region where an order location of the target order is located, for example, when the client makes an after-sales call on business, a geographic location installed at home may be a home location or a relative location, so in this embodiment, the target region of the order location of the target order is preferably used as the location information of the acquisition regional environment.
Step S103, acquiring order related information of the second object, wherein the order related information is information related to order processing.
Optionally, order related information of a second object is obtained, where the second object refers to an installer, and the order related information is information related to order processing, for example, dimension information such as height, age, personality, examination score, professional skill certificate, specific order number, goodness rate and complaint rate in historical installation data of the installer is obtained. And the collected data can be stored in a large data platform storage bin.
And step S104, matching a target object from the second object according to the order description information, the regional environment information and the order association information, wherein the target object is an object to which the target order is allocated.
Optionally, when order distribution is performed, order description information is obtained from the big data platform, the approximate service requirement level of the customer, such as picking, selecting phobia, being more violent, being more severe and the like, can be obtained according to the order description information, meanwhile, specific requirement data of the customer can also be obtained, and a cushion is made for selection of installation workers, preparation of equipment in the earlier stage and the like.
And acquiring personal basic information of the installation workers from the big data platform, wherein the personal basic information can be order related information related to order processing, such as a work goodness rate, a work complaint rate, a personal professional skill certificate, characters and the like, so as to rank the installation workers.
In addition, the regional environment information is obtained from the big data platform and can be used as an auxiliary influence factor for distributing orders.
And finally, matching a target object from a plurality of installers according to the order description information, the regional environment information and the order correlation information, and dispatching the target object as an object allocated by the target order, namely dispatching the target order to the installers with the matched comprehensive ranking level for home-entry installation service.
In the embodiment of the application, the order requirement of the target order of the first object (customer), the order correlation information of the second object (installer) and the dimensional data of each target area where the order position of the target order is located are collected, and the target object served by the order is matched from the second object, so that the customer installation service requirement is accurately located, the customer complaint rate is reduced, and the overall service quality is improved.
Based on the content of the above embodiments, as an alternative embodiment: the obtaining of the order description information of the target order of the first object includes:
receiving voice data input by a first object, wherein the voice data is used for describing a target order;
carrying out voice recognition on voice data, and extracting order requirement information, wherein the order requirement information is used for describing order requirements of a target order;
and extracting emotion information of the first object from the voice data, wherein the emotion information is used for describing the emotion of the first object, and the order description information comprises order demand information and emotion information.
Optionally, by using the existing voice semantic recognition technology, voice data acquired by the customer service is analyzed, the call records are recognized, key element information data are extracted, and order requirements of the target order, such as dimension information of installation time, installation devices, home addresses and the like, are obtained. The method has the advantages that the rough emotion information of the client is analyzed through the neural network technology, the emotion of the client is classified into dimension information such as pleasure, calmness and boredom, the emotion of the client can be used as a basis for judging the urgency degree of the order dispatching, and meanwhile, the emotion of the client can also be used as a reference index for grade division of the client.
According to the method and the device, the emotion information of the client is acquired while the client order requirement is acquired, and therefore follow-up installers can conveniently get ready for home-going installation service.
Based on the content of the above embodiments, as an alternative embodiment: acquiring regional environment information of at least one region includes:
obtaining an order position of a target order;
and acquiring regional environment information of at least one region in a preset range according to the order position, wherein the preset range is determined according to the order position.
Optionally, in this embodiment of the present application, since the regional environment information (which refers to weather conditions) may be real-time and may be changed according to the location of the region, in this embodiment of the present application, an order location of the target order is obtained first, for example, an order geographic location of the target order in the call record is identified through a semantic technology, and then the regional environment information of at least one region within a preset range is obtained, it should be noted that the preset range is a range determined according to the order location, for example, within 5 kilometers around the current order location, and a distance of the preset range is not specifically limited here.
The preset range set by the embodiment of the application can be used for accurately judging the regional environment information where the current target order is located, and is more beneficial to accurately judging the regional local order dispatching emergency.
Based on the content of the above embodiments, as an alternative embodiment: the acquiring of the order related information of the second object comprises:
determining at least one second object within a preset range;
and respectively acquiring order association information of each second object in the at least one second object.
Optionally, in obtaining the order related information of the second object, in addition to obtaining the basic information of the installer, in order to reduce obtaining of too much information of the installer, in the embodiment of the present application, a preset range is set for obtaining at least one second object within the preset range, for example, obtaining information of the installer within 5 kilometers of a periphery of a current order position, and for example, finding an installer closest to the current target order according to a geographic position where a plurality of installers are located, and the like. The distance of the preset range is not particularly limited herein.
Through the preset range set by the embodiment of the application, the data volume of the server for acquiring the information of the installation workers can be reduced, and meanwhile, the convenience and timeliness of the door-to-door service of the installation workers can be improved.
Based on the content of the above embodiments, as an alternative embodiment: matching the target object from the second object according to the order description information, the area environment information and the order association information comprises:
determining work order details and work order sequences corresponding to the target order according to the weight information of the order description information and the weight information of the regional environment information, wherein the work order details are used for indicating the regional position of the object to be dispatched in the second object and the equipment information to be carried, and the work order sequences are used for indicating the dispatching priority of the target order;
and matching the target object from the second object according to the work order detail, the work order sequence and the order association information.
Optionally, the weight information of multiple dimensions of the order description information may be calculated according to a weight algorithm to obtain an object emergency level corresponding to the target order, where the object emergency level is classified mainly as a high level for a customer with a high complaint occurrence probability or a high bad comment probability. Similarly, according to the weighting algorithm, the weighting information of multiple dimensions of the regional environment information can be calculated to obtain the regional order dispatch emergency level corresponding to the target order, and according to the weighting information of multiple dimensions of the order description information (namely, the object emergency level corresponding to the target order) and the weighting information of multiple dimensions of the regional environment information (namely, the regional order dispatch emergency level corresponding to the target order), the work order sequence corresponding to the target order, namely, the order dispatch priority of the current target order can be determined; for example, the weight information value of the order description information of the current target order is higher (customers are impatient and have more installation requirements), and the weight information value of the regional environment information (weather humidity is higher), the corresponding work order sequence will be higher, and the order dispatching priority will be higher. Here, the customer's installation needs can be flexibly arranged in advance or in delay, etc., according to the weather forecast situation.
Meanwhile, according to the weight information of the order description information, a work order detail corresponding to the target order can be determined, the work order detail comprises a specific dispatching address of an installer, equipment to be carried by the installer and the like, and meanwhile, a proper installer is matched from the second object to serve as the target object to dispatch the order by combining the order association information.
According to the method and the device, the weather is used as the most original background, local order dispatching emergency level division is carried out on the responsible area, specific requirements of customers are analyzed, the customer emergency level is judged, the work order sequence of the target orders is comprehensively obtained, then appropriate installers are distributed and matched according to the positions of the target orders provided by the customers to carry out home-entry installation service, high-level installers can go to the customers with higher service levels, the requirements of the customers are prepared in advance, and the purposes of accurate dispatching, quick installation and reduction of complaints and poor comments are achieved.
Based on the content of the above embodiments, as an alternative embodiment: matching the target object from the second object according to the work order detail, the work order sequence and the order association information comprises:
determining a service level of the second object according to the weight information of the order correlation information, wherein the service level is used for indicating the level of the second object for processing the order;
and matching the target object from the second object according to the work order detail, the work order sequence and the service level.
Optionally, the weight information of the order associated information of each installer is obtained according to a weight algorithm, and then the service level of each installer is determined, where the service level is used to indicate the level of the installer processing the order, for example, if the installer a has more personal skill certificates, better characters, a historical service goodness rating higher than 98%, and a complaint rate lower than 2%, then the installer a may judge that the service level is high.
And matching target objects from a plurality of installers according to the work order detail, the work order sequence and the service level to distribute the target orders.
According to the method and the device, the service grades of the installers are divided, the installers of different grades can serve the clients of different grades, the reasonable distribution of resources is achieved, and the purposes of reducing complaints and poor comments are achieved.
According to another aspect of the embodiment of the application, an order distribution device is further provided. The device is used for completing the technical scheme of order allocation provided by the embodiment of the application in the embodiments. Therefore, the description and definition in the order distribution method provided in the embodiment of the present application in the foregoing embodiments may be used for understanding each execution module in the embodiment of the present application.
Fig. 2 is a block diagram of an order distribution apparatus provided in an embodiment of the present application, and as shown in fig. 2, the order distribution apparatus includes:
a first obtaining module 201, configured to obtain order description information of a target order of a first object, where the order description information is used to describe order requirements of the first object and the target order;
a second obtaining module 202, configured to obtain regional environment information of at least one region, where the at least one region includes a target region where an order position of a target order is located;
a third obtaining module 203, configured to obtain order related information of the second object, where the order related information is information related to order processing;
the matching module 204 is configured to match a target object from the second object according to the order description information, the area environment information, and the order association information, where the target object is an object to which the target order is assigned.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
In the embodiment of the application, the order requirement of the target order of the first object (customer), the order correlation information of the second object (installer) and the dimensional data of each target area where the order position of the target order is located are collected, and the target object served by the order is matched from the second object, so that the customer installation service requirement is accurately located, the customer complaint rate is reduced, and the overall service quality is improved.
Optionally, the first obtaining module includes:
the receiving unit is used for receiving voice data input by the first object, wherein the voice data is used for describing the target order;
the first extraction unit is used for carrying out voice recognition on voice data and extracting order requirement information, wherein the order requirement information is used for describing order requirements of a target order;
and the second extraction unit is used for extracting the emotion information of the first object from the voice data, wherein the emotion information is used for describing the emotion of the first object, and the order description information comprises order demand information and emotion information.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
Optionally, the second obtaining module includes:
the first acquisition unit is used for acquiring the order position of the target order;
and the second acquisition unit is used for acquiring the regional environment information of at least one region in a preset range according to the order position, wherein the preset range is determined according to the order position.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
Optionally, the third obtaining module includes:
a second object determining unit for determining at least one second object within a preset range;
and the acquiring association information unit is used for respectively acquiring order association information of each second object in the at least one second object.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
Optionally, the matching module comprises:
the determining unit is used for determining work order details and work order sequences corresponding to the target order according to the weight information of the order description information and the weight information of the area environment information, wherein the work order details are used for indicating the area position where the to-be-dispatched object in the second object is located and the equipment information to be carried, and the work order sequences are used for indicating the dispatching priority of the target order;
and the matching unit is used for matching the target object from the second object according to the work order detail, the work order sequence and the order association information.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
Optionally, the determining unit includes:
the determining region emergency level subunit is used for determining a region emergency level corresponding to the target order according to the weight information of the region environment information, wherein the region emergency level is used for indicating the order dispatching emergency level in the target region where the target order is located;
the object emergency level determining subunit is used for determining the work order details and the object emergency level corresponding to the target order according to the weight information of the order description information, wherein the object emergency level is used for indicating the order dispatching emergency level of the first object;
and the work order sequencing determining subunit is used for determining the work order sequencing of the target order according to the regional emergency level and the object emergency level.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
Optionally, the matching unit comprises:
the service level determining subunit is used for determining the service level of the second object according to the weight information of the order correlation information, wherein the service level is used for indicating the level of the second object for processing the order;
and the matching target object subunit is used for matching a target object from the second object according to the work order detail, the work order sequence and the service level.
Optionally, specific processes of implementing the functions of each module in the apparatus of this embodiment may refer to related descriptions in the corresponding method embodiments, and are not described herein again.
The embodiment of the present application further provides an electronic device, as shown in fig. 3, which includes a processor 301, a communication interface 302, a memory 303, and a communication bus 304, where the processor 301, the communication interface 302, and the memory 303 complete mutual communication through the communication bus 304,
a memory 303 for storing a computer program;
the processor 301, when executing the program stored in the memory 303, implements the following steps: acquiring order description information of a target order of a first object, wherein the order description information is used for describing order requirements of the first object and the target order; acquiring regional environment information of at least one region, wherein the at least one region comprises a target region where an order position of a target order is located; acquiring order related information of a second object, wherein the order related information is information related to order processing; and matching a target object from the second object according to the order description information, the area environment information and the order association information, wherein the target object is an object to which the target order is allocated. The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In yet another embodiment provided by the present application, there is also provided a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to perform the method of order allocation described in any of the above embodiments.
In yet another embodiment provided herein, there is also provided a computer program product containing instructions which, when run on a computer, cause the computer to perform the method of order distribution as described in any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.
The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of order distribution, the method comprising:
acquiring order description information of a target order of a first object, wherein the order description information is used for describing the first object and the order requirement of the target order;
acquiring regional environment information of at least one region, wherein the at least one region comprises a target region where an order position of the target order is located;
acquiring order related information of a second object, wherein the order related information is information related to order processing;
matching a target object from the second object according to the order description information, the area environment information and the order association information, wherein the target object is an object to which the target order is allocated.
2. The method of claim 1, wherein obtaining order description information for the target order for the first object comprises:
receiving voice data input by the first object, wherein the voice data is used for describing the target order;
performing voice recognition on the voice data, and extracting order requirement information, wherein the order requirement information is used for describing order requirements of the target order;
extracting emotion information of the first object from the voice data, wherein the emotion information is used for describing emotion of the first object, and the order description information comprises the order demand information and the emotion information.
3. The method of claim 1, wherein the obtaining regional environment information for at least one region comprises:
acquiring the order position of the target order;
and acquiring the regional environment information of the at least one region within a preset range according to the order position, wherein the preset range is determined according to the order position.
4. The method of claim 3, wherein obtaining order-related information for the second object comprises:
determining at least one second object within the preset range;
and respectively acquiring the order related information of each second object in at least one second object.
5. The method according to any one of claims 1 to 4, wherein the matching out of the second object according to the order description information, the regional environment information, and the order association information comprises:
determining work order details and work order sequences corresponding to the target order according to the weight information of the order description information and the weight information of the area environment information, wherein the work order details are used for indicating the area position of an object to be dispatched in the second object and the equipment information to be carried, and the work order sequences are used for indicating the dispatching priority of the target order;
and matching the target object from the second object according to the work order detail, the work order sequence and the order correlation information.
6. The method of claim 5, wherein the determining the work order detail and the work order sequence corresponding to the target order according to the weight information of the order description information and the weight information of the regional environment information comprises:
determining a regional emergency level corresponding to the target order according to the weight information of the regional environment information, wherein the regional emergency level is used for indicating an order dispatching emergency level in the target region where the target order is located;
determining the work order details and an object emergency level corresponding to the target order according to the weight information of the order description information, wherein the object emergency level is used for indicating the order dispatching emergency level of the first object;
and determining the work order sequence of the target order according to the regional emergency level and the object emergency level.
7. The method of claim 5, wherein said matching said target object from said second object according to said work order detail, said work order sequence, and said order correlation information comprises:
determining a service level of the second object according to the weight information of the order association information, wherein the service level is used for indicating the level of the second object for processing the order;
and matching the target object from the second object according to the work order detail, the work order sequence and the service level.
8. An apparatus for order distribution, the apparatus comprising:
acquiring order description information of a target order of a first object, wherein the order description information is used for describing the first object and the order requirement of the target order;
acquiring regional environment information of at least one region, wherein the at least one region comprises a target region where an order position of the target order is located;
acquiring order related information of a second object, wherein the order related information is information related to order processing;
matching a target object from the second object according to the order description information, the area environment information and the order association information, wherein the target object is an object to which the target order is allocated.
9. A computer-readable storage medium, comprising a stored program, wherein the program is operative to perform the method steps of order allocation of any of claims 1 to 7.
10. An electronic device comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus; wherein:
a memory for storing a computer program;
a processor for executing the steps of the method of order allocation of any of claims 1 to 7 by executing a program stored on a memory.
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| CN202010968803.1A CN112149978A (en) | 2020-09-15 | 2020-09-15 | Order distribution method and device, electronic equipment and storage medium |
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