CN114519521A - Resource scheduling method and device, computer equipment and storage medium - Google Patents
Resource scheduling method and device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN114519521A CN114519521A CN202210146551.3A CN202210146551A CN114519521A CN 114519521 A CN114519521 A CN 114519521A CN 202210146551 A CN202210146551 A CN 202210146551A CN 114519521 A CN114519521 A CN 114519521A
- Authority
- CN
- China
- Prior art keywords
- resource
- epidemic situation
- emergency
- target
- scheduling
- 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
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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The application is applicable to the technical field of big data, and provides a resource scheduling method, a resource scheduling device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring emergency resource condition information of a target epidemic situation distribution area, wherein the emergency resource condition information comprises resource quantity, resource area distribution and resource capacity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels; acquiring an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk grade; acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the epidemic situation future development trend curve; and performing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information. According to the scheme, efficient epidemic situation resource scheduling can be achieved, and the intelligent level of emergency command decision is improved.
Description
Technical Field
The present application belongs to the field of big data technologies, and in particular, to a resource scheduling method, apparatus, computer device, and storage medium.
Background
The current data insights based on epidemic diseases such as new crown, influenza, hand-foot-and-mouth disease, schistosomiasis and the like are still mainly focused on the analysis level of descriptive, diagnostic and the like. And the hierarchical classification of the current situation shows that the core contents such as the prediction of unknown risks still mainly come from experience accumulation of professionals, and the prospective intelligent analysis capability based on data and oriented to the future is lacked.
The epidemic situation brings great threat to social economy and physical health of people, and meanwhile, in the process of overcoming the epidemic situation, the emergency command scheduling examination in sudden public health events such as living goods and materials, medical goods and materials and the like is faced.
At present, a command system applied to emergency treatment of emergent public health events cannot realize digital rapid matching and decision support, has relatively poor tendency studying and judging capability and resource scheduling capability of emergent public health events, and is difficult to realize efficient epidemic situation resource scheduling.
Disclosure of Invention
The embodiment of the application provides a resource scheduling method, a resource scheduling device, computer equipment and a storage medium, and aims to solve the problems that a command system applied to emergency processing of emergent public health events at present cannot realize digital rapid matching and decision support, has relatively poor tendency studying and judging capability and resource scheduling capability of emergent public health events and is difficult to realize efficient epidemic situation resource scheduling.
A first aspect of an embodiment of the present application provides a resource scheduling method, including:
acquiring emergency resource condition information of a target epidemic situation distribution area, wherein the emergency resource condition information comprises resource quantity, resource area distribution and resource productivity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels;
acquiring an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk level;
acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the epidemic situation future development trend curve;
and performing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information.
Optionally, the performing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information includes:
determining resource shortage information of each target epidemic situation distribution area under different epidemic situation development nodes based on the resource consumption demand and the emergency resource condition information;
selecting a target emergency area and a target resource emergency scheduling strategy for providing emergency resources for the resource shortage area in the target epidemic situation distribution area based on the resource shortage information and in combination with the resource emergency scheduling strategy;
And providing emergency resource scheduling for the resource shortage region in the target epidemic situation distribution region according to the target resource emergency scheduling strategy based on the target emergency region.
Optionally, the selecting, based on the resource shortage information and in combination with a resource emergency scheduling policy, a target emergency area and a target resource emergency scheduling policy for providing emergency resources for a resource shortage area in the target epidemic situation distribution area includes:
based on the resource shortage information, an emergency candidate area for providing emergency resources for a resource shortage area in the target epidemic situation distribution area is selected by combining the geographical area position information;
performing resource emergency simulation on each emergency candidate region based on the resource emergency scheduling strategies to obtain an emergency simulation evaluation result corresponding to each resource emergency scheduling strategy;
and based on the emergency simulation evaluation result, selecting a strategy matched with a target emergency simulation evaluation result from the resource emergency scheduling strategies as the target resource emergency scheduling strategy, and selecting an area matched with the target emergency simulation evaluation result from the candidate emergency areas as the target emergency area.
Optionally, the obtaining of an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk level includes:
acquiring epidemic situation outbreak quantity of each target epidemic situation distribution area under the corresponding epidemic situation risk level;
and fitting to obtain an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation outbreak number and by combining the disease type of the epidemic situation and the epidemic situation development cycle under the disease type.
Optionally, after the resource scheduling is performed on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information, the method further includes:
extracting data of an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area to obtain epidemic situation development trend data of each target epidemic situation distribution area under a corresponding epidemic situation risk level;
performing data extraction on different resource emergency scheduling strategies adopted by each target epidemic situation distribution area to obtain resource scheduling data;
and summarizing the epidemic situation development trend data and the resource scheduling data to generate a scheduling processing information summary text.
Optionally, after the summarizing the epidemic situation development trend data and the resource scheduling data and generating a scheduling processing information summary text, the method further includes:
and updating the resource emergency scheduling strategy based on the scheduling processing information summary text.
Optionally, before the obtaining the emergency resource status information of the target epidemic situation distribution area, the method further includes:
acquiring epidemic situation risk levels of different epidemic situation statistical regions in an epidemic situation statistical range;
and based on the epidemic situation statistical range, selecting the epidemic situation statistical region with the epidemic situation risk level exceeding a threshold value to be determined as the target epidemic situation distribution region.
A second aspect of the embodiments of the present application provides a resource scheduling apparatus, including:
the first acquisition module is used for acquiring emergency resource condition information of a target epidemic situation distribution area, wherein the emergency resource condition information comprises resource quantity, resource area distribution and resource productivity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels;
the second acquisition module is used for acquiring an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk grade;
The third acquisition module is used for acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the future epidemic situation development trend curve;
and the scheduling module is used for implementing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information.
A third aspect of embodiments of the present application provides a terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method according to the first aspect when executing the computer program.
A fourth aspect of embodiments of the present application provides a computer-readable storage medium, in which a computer program is stored, which, when executed by a processor, performs the steps of the method according to the first aspect.
A fifth aspect of the present application provides a computer program product, which, when run on a terminal, causes the terminal to perform the steps of the method of the first aspect described above.
Therefore, in the embodiment of the application, the epidemic situation future development trend curves corresponding to different epidemic situation distribution areas are obtained based on the epidemic situation risk levels, the resource requirements of the different areas under different epidemic situation development nodes under different risk levels are obtained, and then the resource requirements are combined with the emergency resource status information of the epidemic situation distribution areas, through the coordinated scheduling of resources in the different areas, the conditions such as disease development trend and resource consumption condition can be researched and judged in advance when an emergency epidemic situation event occurs, the emergency response under a major emergency public health event is realized, corresponding auxiliary decision support is provided for decision makers, efficient epidemic situation resource scheduling is realized, and the intelligent level of emergency command decision is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a first flowchart of a resource scheduling method according to an embodiment of the present application;
fig. 2 is a flowchart ii of a resource scheduling method according to an embodiment of the present disclosure;
fig. 3 is a structural diagram of a resource scheduling apparatus according to an embodiment of the present application;
fig. 4 is a block diagram of a computer device according to an embodiment of the present disclosure.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items and includes such combinations.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
In particular implementations, the terminals described in embodiments of the present application include, but are not limited to, other portable devices such as mobile phones, laptop computers, or tablet computers having touch sensitive surfaces (e.g., touch screen displays and/or touch pads). It should also be understood that in some embodiments, the device is not a portable communication device, but is a desktop computer having a touch-sensitive surface (e.g., a touch screen display and/or a touchpad).
In the discussion that follows, a terminal that includes a display and a touch-sensitive surface is described. However, it should be understood that the terminal may include one or more other physical user interface devices such as a physical keyboard, mouse, and/or joystick.
The terminal supports various applications, such as one or more of the following: a drawing application, a presentation application, a word processing application, a website creation application, a disc burning application, a spreadsheet application, a gaming application, a telephone application, a video conferencing application, an email application, an instant messaging application, an exercise support application, a photo management application, a digital camera application, a web browsing application, a digital music player application, and/or a digital video player application.
Various applications that may be executed on the terminal may use at least one common physical user interface device, such as a touch-sensitive surface. One or more functions of the touch-sensitive surface and corresponding information displayed on the terminal can be adjusted and/or changed between applications and/or within respective applications. In this way, a common physical architecture (e.g., touch-sensitive surface) of the terminal can support various applications with user interfaces that are intuitive and transparent to the user.
It should be understood that, the sequence numbers of the steps in this embodiment do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic of the process, and should not constitute any limitation to the implementation process of the embodiment of the present application.
In order to explain the technical means described in the present application, the following description will be given by way of specific examples.
Referring to fig. 1, fig. 1 is a first flowchart of a resource scheduling method according to an embodiment of the present application. As shown in fig. 1, a resource scheduling method includes the following steps:
Specifically, the epidemic situation is, for example, a major public health incident spreading in a wide range, such as a new crown epidemic situation, a pneumonia epidemic situation, a hand-foot-and-mouth disease, and the like.
The emergency resource condition information comprises resource quantity, resource area distribution and resource productivity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels.
The emergency resource is medical resource such as a breathing machine, medicine, reagent, disinfection article, protective equipment and the like, or the emergency resource is living goods such as food, drinking water, vegetables and the like.
The method includes acquiring emergency resource condition information, specifically acquiring distribution conditions of emergency resources in each target epidemic situation distribution area (for example, epidemic prevention point distribution data storing emergency materials, distribution places of grain bins), stock of various emergency resources, capacity of manufacturers in epidemic situations, and the like.
Wherein, the target epidemic situation distribution area is required to be determined.
Correspondingly, before the emergency resource condition information of the target epidemic situation distribution area is obtained, the method comprises the following steps:
acquiring epidemic situation risk levels of different epidemic situation statistical regions in an epidemic situation statistical range; and selecting an epidemic situation statistical region with an epidemic situation risk level exceeding a threshold value as a target epidemic situation distribution region based on the epidemic situation statistical range.
The determination of the epidemic risk level can be determined based on the number of cases, the concentration degree of the outbreak of the cases and other factors. Alternatively, the epidemic risk level can be extracted directly from the public health database.
Most of them are in a multi-spot outbreak state.
Different epidemic outbreak areas can be determined as different risk levels when the number of outbreak cases, the concentration degree of case outbreaks and other factors are different.
The different epidemic situation distribution areas are, for example, areas where epidemic situations are distributed in different provinces throughout the country, areas where epidemic situations are distributed in different counties in the same province, and the like.
Here, the area with the epidemic situation risk level exceeding the threshold is used as a target epidemic situation distribution area, so that a scientific and reasonable emergency coping strategy can be made for the serious area of the epidemic situation in time.
And 102, acquiring an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk level.
The future development trend curve of the epidemic situation can be obtained by taking the historical development trend information of the epidemic situation as reference, combining factors such as prevention and control measures and the like according to the current situation of the epidemic situation and simulating and deducing the future development trend of the epidemic situation through an algorithm model.
Alternatively, the fitting of the development trend curve is performed based on information such as the disease type of the epidemic, the disease development cycle of the disease type, the number of cases in different epidemic areas, and the number of closely-contacted people of the cases.
The development trend curve can be fitted to obtain an epidemic situation future development trend curve by transversely taking time as an axis and longitudinally taking the number of people in a diseased state as an axis.
For different epidemic risk levels, the origin values of the development trend curves are different, and the magnitude of the origin values is positively correlated with the epidemic risk levels.
Specifically, in an optional embodiment, the obtaining of the future epidemic development trend curve corresponding to each target epidemic distribution area based on the epidemic risk level includes:
acquiring epidemic situation outbreak quantity of each target epidemic situation distribution area under the corresponding epidemic situation risk level; based on the epidemic situation outbreak number, combining the disease type of the epidemic situation and the epidemic situation development cycle under the disease type, and fitting to obtain an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area.
The outbreak number of epidemic situations, as exemplified by new coronary epidemic situations, specifically includes the number of confirmed cases that have been positive in nucleic acid retest and have been transported to a fixed-point medical institution for treatment and isolation, the number of observed cases that have been in isolated medical observation for 14 days after the cases are cured and discharged from hospital, and the number of asymptomatic infectors that have been positive in nucleic acid detection but have no clinical manifestations.
For the determination of disease types and epidemic situation development cycles under the disease types, the disease pathogenic types can be judged by using the disease characteristic data of the current epidemic situation; matching similar diseases with higher similarity by using disease pathogenic types; and judging the disease development stage and the disease transmission risk of the current epidemic situation based on the similar disease incidence trend and incidence period, and fitting to obtain an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area.
And 103, acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the future development trend curve of the epidemic situation.
With the development of epidemic situation, a small number of confirmed persons and many close-coupled persons are involved in the initial stage, and the consumption of resources may mainly include medical materials under the totally enclosed treatment of the confirmed persons, and materials such as living facilities and living food in the close-coupled isolation area and the sealed control area of the close-coupled persons.
Over time, the number of confirmed persons in the isolated observation can be increased intensively, and the consumption of resources is changed into more medical material consumption and reduced living material consumption.
And subsequently, along with the treatment and rehabilitation of the confirmed diagnosis personnel, the isolation of the isolation observer is finished, so that the consumption of medical supplies is reduced, and the consumption of living supplies is further reduced.
Therefore, different resource consumption requirements can occur under different epidemic situation development time nodes.
The future epidemic situation development trend curve comprises outbreak population corresponding to different epidemic situation development nodes, and the corresponding resource consumption demand can be estimated and obtained based on the outbreak population.
And step 104, performing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information.
At this time, when the resource consumption demands under different epidemic situation development nodes are met, the global resource scheduling can be performed by combining the information of resource area distribution, resource quantity, resource productivity and the like in different target epidemic situation distribution areas.
The process combines the resource demands of the confirmed people in different epidemic situation development time nodes under different risk levels, and realizes emergency response to major sudden public health events through coordinated scheduling of resources in different areas, so that the emergency resources can be applied to the most needed places under the condition of multipoint emergency, the emergency response under the sudden events is ensured, and timely and reasonable life treatment and life guarantee are ensured to be implemented for people in the epidemic situation.
As an optional implementation manner, the resource scheduling for the target epidemic situation distribution area based on the resource consumption demand and the emergency resource status information includes:
determining resource shortage information of each target epidemic situation distribution area under different epidemic situation development nodes based on resource consumption requirements and emergency resource condition information;
Selecting a target emergency area and a target resource emergency scheduling strategy for providing emergency resources for a resource shortage area in an epidemic situation distribution area based on the resource shortage information and in combination with the resource emergency scheduling strategy;
and providing emergency resource scheduling for the resource shortage area in the target epidemic situation distribution area according to the target emergency scheduling strategy based on the target emergency area.
When global resource scheduling is performed by combining information such as resource area distribution, resource quantity and resource productivity in different target epidemic situation distribution areas, resource shortage information of each target epidemic situation distribution area in different epidemic situation development nodes needs to be predicted.
The resource shortage information may change with the change of epidemic situation development trend. For example, the gap in emergency resources is relatively small at the early and late stages of epidemic development, while the gap in emergency resources is large at the peak stage of epidemic development. Different target epidemic situation distribution areas may have different resource shortage information in different epidemic situation development nodes. In the process, the epidemic situation risk level can be correspondingly adjusted and changed along with the change of the epidemic situation development trend.
After the resource shortage information of each target epidemic situation distribution area under different epidemic situation development nodes is obtained, a target emergency area and a target resource emergency scheduling strategy for providing emergency resources for the resource shortage area in the target epidemic situation distribution area can be selected in combination with the resource emergency scheduling strategy.
The target emergency area is an area with abundant resources, and specifically may be an area without an epidemic situation or an area with a low epidemic situation risk level and abundant resources.
The resource emergency scheduling policy may be that an area with an epidemic situation risk level lower than a set threshold is preferentially used as a target emergency area for providing emergency resources for a resource shortage area in an target epidemic situation distribution area, or may be that areas are selected as the target emergency area according to a priority order of a geographical area position distance from near to far.
In one embodiment, the selecting a target emergency area and a target resource emergency scheduling policy for providing emergency resources for a resource shortage area in an target epidemic situation distribution area based on the resource shortage information and in combination with the resource emergency scheduling policy includes:
selecting an emergency candidate area for providing emergency resources for a resource shortage area in an epidemic situation distribution area based on resource shortage information and combined with geographical area position information;
performing resource emergency simulation on each emergency candidate area based on the resource emergency scheduling strategy to obtain an emergency simulation evaluation result corresponding to each resource emergency scheduling strategy;
and based on the emergency simulation evaluation result, selecting a strategy matched with the target emergency simulation evaluation result from the resource emergency scheduling strategies as a target resource emergency scheduling strategy, and selecting an area matched with the target emergency simulation evaluation result from the emergency candidate areas as a target emergency area.
In the process, the geographical region position information is introduced to converge various basic data related to public health treatment, and when an emergency happens, the priority calling of nearby resources is guaranteed.
And the process also introduces the scheduling strategy and the selected candidate region to carry out the prior scheduling simulation, and the scheduling effect is ensured and the scheduling defects are reduced as much as possible through the evaluation of the dynamic decision effect, so that the normal and ordered material supply of each region is ensured.
When scheduling simulation is carried out, daily monitoring data in epidemic situation development and grasped medical emergency resource information are combined, a prevention and control emergency knowledge base is combined, an intelligent simulation algorithm is adopted to simulate prevention and control effects under different resource scheduling strategies, for example, information such as survey results after epidemiological investigation is carried out, epidemic situation propagation links and the like is combined, personnel flow information among regions is combined to determine disease propagation risks of all regions, the possibility that subsequent development of the epidemic situation has the lowest influence on resource calling-out regions is ensured, and the like, the factors are taken into deduction conditions of the prevention and control scheduling, different results of situation development under different emergency disposal and resource scheduling modes are output, and simulation of the prevention and control effects is achieved.
The embodiment of the application can acquire and process related data based on an 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 base technologies generally include 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.
In the embodiment of the application, the future development trend curves of the epidemic situation corresponding to different epidemic situation distribution areas are obtained based on the epidemic situation risk levels, the resource requirements of the different areas under different epidemic situation development nodes under different risk levels are obtained, and then the future development trend curves are combined with the emergency resource condition information of the epidemic situation distribution areas, the emergency response under the major sudden public health events is realized through the coordinated scheduling of resources in the different areas, the conditions such as the disease development trend and the resource consumption condition can be researched and judged in advance when the emergency epidemic situation events occur, the simulation prediction can be carried out on the event development under various policy measures, an intelligent dynamic decision scheme is formed by combining with a structured plan, corresponding auxiliary decision support is provided for decision makers, and the intelligent level of emergency command decision is improved.
The embodiment of the application also provides different implementation modes of the resource scheduling method.
Referring to fig. 2, fig. 2 is a second flowchart of a resource scheduling method according to an embodiment of the present application. As shown in fig. 2, a resource scheduling method includes the following steps:
The emergency resource condition information comprises resource quantity, resource area distribution and resource productivity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels.
The implementation process of this step is the same as that of step 101 in the foregoing embodiment, and is not described here again.
The implementation process of this step is the same as that of step 102 in the foregoing embodiment, and is not described here again.
And 203, acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the future development trend curve of the epidemic situation.
The implementation process of this step is the same as the implementation process of step 103 in the foregoing embodiment, and is not described here again.
And step 204, performing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information.
The implementation process of this step is the same as that of step 104 in the foregoing embodiment, and is not described here again.
And step 205, performing data extraction on the epidemic situation future development trend curve corresponding to each target epidemic situation distribution area to obtain epidemic situation development trend data of each target epidemic situation distribution area under the corresponding epidemic situation risk level.
The data extraction is carried out on the future development trend curve of the epidemic situation, and specifically, the data such as the starting and ending time of the epidemic situation, the peak height of the epidemic situation, the corresponding epidemic situation outbreak number of the epidemic situation under different development nodes and the like can be extracted.
here, the data extraction is performed on the resource emergency scheduling policy, and specifically, the data extraction may be performed on a scheduling route, transportation vehicle scheduling data, personnel allocation data, cost data, time consumption data, and the like.
And step 207, summarizing the epidemic situation development trend data and the resource scheduling data to generate a scheduling processing information summary text.
This process has provided the retrospective analysis function that summarizes after the affairs to help emergent managers to accomplish the work summary fast, promote epidemic situation emergency treatment's feedback analysis efficiency and intellectuality.
Further, after summarizing the epidemic situation development trend data and the resource scheduling data and generating a scheduling processing information summary text, the method further comprises the following steps:
and updating the resource emergency scheduling strategy based on the scheduling processing information summary text.
For example, route planning, the number of vehicles and personnel mobile equipment, a more reasonable emergency resource reserve bank and the like in the resource emergency scheduling strategy can be updated.
In the embodiment of the application, the epidemic situation future development trend curves corresponding to different epidemic situation distribution areas are obtained based on the epidemic situation risk levels, the resource requirements of the different areas under different risk levels under different epidemic situation development nodes are obtained, and then the emergency resource status information of the epidemic situation distribution areas is combined, through the coordinated scheduling of resources in the different areas, the conditions such as disease development trend, resource consumption condition and the like can be researched and judged in advance and summarized and reviewed afterwards when an emergency epidemic situation event occurs, the emergency response under a major emergency public health event is realized, corresponding auxiliary decision support is provided for decision makers, efficient epidemic situation resource scheduling is realized, and the intelligent level of emergency command decision is improved.
Referring to fig. 3, fig. 3 is a structural diagram of a resource scheduling apparatus according to an embodiment of the present application, and for convenience of description, only parts related to the embodiment of the present application are shown.
The resource scheduling apparatus 300 includes:
the first obtaining module 301 is configured to obtain emergency resource status information of a target epidemic situation distribution area, where the emergency resource status information includes resource quantity, resource area distribution, and resource productivity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels;
a second obtaining module 302, configured to obtain an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk level;
a third obtaining module 303, configured to obtain, based on the epidemic situation future development trend curve, a resource consumption requirement of each target epidemic situation distribution area at each epidemic situation development node;
and the scheduling module 304 is configured to implement resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource status information.
The scheduling module 304 is specifically configured to:
determining resource shortage information of each target epidemic situation distribution area under different epidemic situation development nodes based on the resource consumption demand and the emergency resource condition information;
Selecting a target emergency area and a target resource emergency scheduling strategy for providing emergency resources for the resource shortage area in the target epidemic situation distribution area based on the resource shortage information and in combination with the resource emergency scheduling strategy;
and providing emergency resource scheduling for the resource shortage region in the target epidemic situation distribution region according to the target resource emergency scheduling strategy based on the target emergency region.
Wherein, the scheduling module 304 is more specifically configured to:
based on the resource shortage information, an emergency candidate area for providing emergency resources for a resource shortage area in the target epidemic situation distribution area is selected by combining the geographical area position information;
performing resource emergency simulation on each emergency candidate area based on the resource emergency scheduling strategies to obtain emergency simulation evaluation results corresponding to each resource emergency scheduling strategy;
and based on the emergency simulation evaluation result, selecting a strategy matched with a target emergency simulation evaluation result from the resource emergency scheduling strategies as the target resource emergency scheduling strategy, and selecting an area matched with the target emergency simulation evaluation result from the emergency candidate areas as the target emergency area.
The second obtaining module 302 is specifically configured to:
acquiring epidemic situation outbreak quantity of each target epidemic situation distribution area under the corresponding epidemic situation risk level;
and fitting to obtain an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation outbreak number and by combining the disease type of the epidemic situation and the epidemic situation development cycle under the disease type.
The device also includes: a text generation module to:
extracting data of an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area to obtain epidemic situation development trend data of each target epidemic situation distribution area under a corresponding epidemic situation risk level;
performing data extraction on different resource emergency scheduling strategies adopted by each target epidemic situation distribution area to obtain resource scheduling data;
and summarizing the epidemic situation development trend data and the resource scheduling data to generate a scheduling processing information summary text.
The device also includes:
and the updating module is used for updating the resource emergency scheduling strategy based on the scheduling processing information summary text.
The device also includes: a selection module for:
Acquiring epidemic situation risk levels of different epidemic situation statistical regions in an epidemic situation statistical range;
and selecting an epidemic situation statistical area with the epidemic situation risk level exceeding a threshold value as the target epidemic situation distribution area based on the epidemic situation statistical range.
The resource scheduling apparatus provided in the embodiment of the present application can implement each process of the embodiment of the resource scheduling method, and can achieve the same technical effect, and for avoiding repetition, details are not repeated here.
Fig. 4 is a block diagram of a computer device according to an embodiment of the present disclosure. As shown in the figure, the computer device 4 of this embodiment includes: at least one processor 40 (only one shown in fig. 4), a memory 41, and a computer program 42 stored in the memory 41 and executable on the at least one processor 40, the steps of any of the various method embodiments described above being implemented when the computer program 42 is executed by the processor 40.
The computer device 4 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The computer device 4 may include, but is not limited to, a processor 40, a memory 41. Those skilled in the art will appreciate that fig. 4 is merely an example of a computer device 4 and is not intended to limit computer device 4 and may include more or fewer components than those shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The Processor 40 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the computer device 4, such as a hard disk or a memory of the computer device 4. The memory 41 may also be an external storage device of the computer device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the computer device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the computer device 4. The memory 41 is used for storing the computer program and other programs and data required by the computer device. The memory 41 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only used for distinguishing one functional unit from another, and are not used for limiting the protection scope of the present application. For the specific working processes of the units and modules in the system, reference may be made to the corresponding processes in the foregoing method embodiments, which are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by a computer program, which can be stored in a computer-readable storage medium and can realize the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The present application realizes all or part of the processes in the method of the above embodiments, and may also be implemented by a computer program product, when the computer program product runs on a terminal, the steps in the above method embodiments may be implemented when the terminal executes the computer program product.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A method for scheduling resources, comprising:
acquiring emergency resource condition information of a target epidemic situation distribution area, wherein the emergency resource condition information comprises resource quantity, resource area distribution and resource capacity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels;
Acquiring an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk level;
acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the future epidemic situation development trend curve;
and performing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information.
2. The method of claim 1, wherein the performing resource scheduling for the target epidemic distribution area based on the resource consumption needs and the emergency resource situation information comprises:
determining resource shortage information of each target epidemic situation distribution area under different epidemic situation development nodes based on the resource consumption demand and the emergency resource condition information;
selecting a target emergency area and a target resource emergency scheduling strategy for providing emergency resources for the resource shortage area in the target epidemic situation distribution area based on the resource shortage information and in combination with the resource emergency scheduling strategy;
and based on the target emergency area, providing emergency resource scheduling for the resource shortage area in the target epidemic situation distribution area according to the target resource emergency scheduling strategy.
3. The method according to claim 2, wherein selecting a target emergency area and a target resource emergency scheduling policy for providing emergency resources for the resource shortage area in the epidemic situation distribution area based on the resource shortage information and in combination with the resource emergency scheduling policy comprises:
based on the resource shortage information, an emergency candidate area for providing emergency resources for a resource shortage area in the target epidemic situation distribution area is selected by combining the geographical area position information;
performing resource emergency simulation on each emergency candidate area based on the resource emergency scheduling strategies to obtain emergency simulation evaluation results corresponding to each resource emergency scheduling strategy;
and based on the emergency simulation evaluation result, selecting a strategy matched with a target emergency simulation evaluation result from the resource emergency scheduling strategies as the target resource emergency scheduling strategy, and selecting an area matched with the target emergency simulation evaluation result from the emergency candidate areas as the target emergency area.
4. The method according to claim 1, wherein obtaining an epidemic future development trend curve corresponding to each target epidemic distribution area based on the epidemic risk level comprises:
Acquiring epidemic situation outbreak quantity of each target epidemic situation distribution area under the corresponding epidemic situation risk level;
and fitting to obtain an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation outbreak number and by combining the disease type of the epidemic situation and the epidemic situation development period under the disease type.
5. The method of claim 1, wherein after performing resource scheduling for the target epidemic situation distribution area based on the resource consumption requirement and the emergency resource situation information, the method further comprises:
extracting data of an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area to obtain epidemic situation development trend data of each target epidemic situation distribution area under a corresponding epidemic situation risk level;
performing data extraction on different resource emergency scheduling strategies adopted by each target epidemic situation distribution area to obtain resource scheduling data;
and summarizing the epidemic situation development trend data and the resource scheduling data to generate a scheduling processing information summary text.
6. The method of claim 5, wherein after the summarizing the epidemic situation development trend data and the resource scheduling data and generating a scheduling processing information summary text, further comprising:
And updating the resource emergency scheduling strategy based on the scheduling processing information summary text.
7. The method of claim 1, wherein before obtaining the emergency resource status information of the target epidemic situation distribution area, the method further comprises:
acquiring epidemic situation risk levels of different epidemic situation statistical regions in an epidemic situation statistical range;
and based on the epidemic situation statistical range, selecting the epidemic situation statistical region with the epidemic situation risk level exceeding a threshold value to be determined as the target epidemic situation distribution region.
8. A resource scheduling apparatus, comprising:
the first acquisition module is used for acquiring emergency resource condition information of a target epidemic situation distribution area, wherein the emergency resource condition information comprises resource quantity, resource area distribution and resource productivity, and different target epidemic situation distribution areas have corresponding epidemic situation risk levels;
the second acquisition module is used for acquiring an epidemic situation future development trend curve corresponding to each target epidemic situation distribution area based on the epidemic situation risk grade;
the third acquisition module is used for acquiring the resource consumption requirement of each target epidemic situation distribution area under each epidemic situation development node based on the future development trend curve of the epidemic situation;
And the scheduling module is used for implementing resource scheduling on the target epidemic situation distribution area based on the resource consumption demand and the emergency resource condition information.
9. A computer arrangement comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210146551.3A CN114519521A (en) | 2022-02-17 | 2022-02-17 | Resource scheduling method and device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210146551.3A CN114519521A (en) | 2022-02-17 | 2022-02-17 | Resource scheduling method and device, computer equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114519521A true CN114519521A (en) | 2022-05-20 |
Family
ID=81599458
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210146551.3A Pending CN114519521A (en) | 2022-02-17 | 2022-02-17 | Resource scheduling method and device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114519521A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115759614A (en) * | 2022-11-15 | 2023-03-07 | 立昂旗云(广州)科技有限公司 | Resource management system and resource management method |
| CN115860645A (en) * | 2023-02-23 | 2023-03-28 | 深圳市鸿鹭工业设备有限公司 | Logistics storage management method and system based on big data |
| CN116362519A (en) * | 2023-05-12 | 2023-06-30 | 河北金锁安防工程股份有限公司 | Emergency resource management system based on urban public health event |
-
2022
- 2022-02-17 CN CN202210146551.3A patent/CN114519521A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115759614A (en) * | 2022-11-15 | 2023-03-07 | 立昂旗云(广州)科技有限公司 | Resource management system and resource management method |
| CN115759614B (en) * | 2022-11-15 | 2023-08-08 | 立昂旗云(广州)科技有限公司 | Resource management system and resource management method |
| CN115860645A (en) * | 2023-02-23 | 2023-03-28 | 深圳市鸿鹭工业设备有限公司 | Logistics storage management method and system based on big data |
| CN115860645B (en) * | 2023-02-23 | 2023-06-02 | 深圳市鸿鹭工业设备有限公司 | Logistics storage management method and system based on big data |
| CN116362519A (en) * | 2023-05-12 | 2023-06-30 | 河北金锁安防工程股份有限公司 | Emergency resource management system based on urban public health event |
| CN116362519B (en) * | 2023-05-12 | 2023-08-15 | 河北金锁安防工程股份有限公司 | Emergency resource management system based on urban public health event |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Meindl et al. | The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives | |
| CN114519521A (en) | Resource scheduling method and device, computer equipment and storage medium | |
| Bell | Visual interactive modelling: the past, the present, and the prospects | |
| Kucher et al. | Active learning and visual analytics for stance classification with ALVA | |
| Bond et al. | Human Centered Artificial Intelligence: Weaving UX into Algorithmic Decision Making. | |
| Codella et al. | Data quality challenges for person-generated health and wellness data | |
| Singh et al. | Data visualization and its key fundamentals: A comprehensive survey | |
| CN109034206A (en) | Image classification recognition methods, device, electronic equipment and computer-readable medium | |
| CN112116391A (en) | Multimedia resource delivery method and device, computer equipment and storage medium | |
| CN114490116B (en) | Data processing method and device, electronic equipment and storage medium | |
| Gavval et al. | CUDA-Self-Organizing feature map based visual sentiment analysis of bank customer complaints for Analytical CRM | |
| Wong et al. | Data mining using parallel multi-objective evolutionary algorithms on graphics processing units | |
| CN111538852B (en) | Multimedia resource processing method, device, storage medium and equipment | |
| CN114817683A (en) | Information recommendation method and device, computer equipment and storage medium | |
| Kumari et al. | Importance of data standardization methods on stock indices prediction accuracy | |
| CN113947322A (en) | Figure matching method and system based on FP-Growth algorithm | |
| Salehnia et al. | Analysis of Casual Relationships between Social Determinants of Health in Iran: Using Fuzzy Cognitive Map | |
| CN114547242A (en) | Questionnaire investigation method and device, electronic equipment and readable storage medium | |
| Ruiz-Navas et al. | Developing a framework to track knowledge convergence in'big data' | |
| Karwowski et al. | Intelligent Human Systems Integration: Proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, January 7-9, 2018, Dubai, United Arab Emirates | |
| CN114548237A (en) | Man-machine interaction multi-mode data fusion method, device and equipment | |
| CN113868437A (en) | Interpretable emotion logic identification method, system and medium based on knowledge graph | |
| CN113688120A (en) | Quality detection method and device for data warehouse and electronic equipment | |
| Olszak et al. | Big Data Approach to Analyzing the IT Job Market | |
| Ponti et al. | Can't we all just get along? Citizen scientists interacting with algorithms |
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 | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20220922 Address after: Room 2601 (Unit 07), Qianhai Free Trade Building, No. 3048, Xinghai Avenue, Nanshan Street, Qianhai Shenzhen-Hong Kong Cooperation Zone, Shenzhen, Guangdong 518000 Applicant after: Shenzhen Ping An Smart Healthcare Technology Co.,Ltd. Address before: 1-34 / F, Qianhai free trade building, 3048 Xinghai Avenue, Mawan, Qianhai Shenzhen Hong Kong cooperation zone, Shenzhen, Guangdong 518000 Applicant before: Ping An International Smart City Technology Co.,Ltd. |