CN117726193B - City management event intervention control method, device, equipment and storage medium - Google Patents
City management event intervention control method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a city management event intervention control method, a device, equipment and a storage medium, wherein the method comprises the following steps: acquiring historical city management event information in a regional range; according to the historical city management event information, determining a fast moving average value and a slow moving average value of each day in the area range, calculating to obtain a daily dispersion value, and determining a daily dispersion average value; and generating an urban management event intervention control strategy according to the deviation value and the deviation average value corresponding to the current date, and executing intervention. According to the method, the daily deviation value and the daily deviation average value are calculated and obtained through determining the daily fast moving average value and the daily slow moving average value in the area range, the urban management event intervention control strategy is generated, the accuracy of urban management event prediction is improved through monitoring the quantity change trend and the number reversal of the urban management events, and the efficiency of urban management is improved by adopting an intervention means which is more suitable for the current change trend.
Description
Technical Field
The invention relates to the technical field of urban management, in particular to an urban management event intervention control method, an urban management event intervention control device, urban management event intervention control equipment and a storage medium.
Background
In urban management, an important component of urban management work is patrol work of urban management staff, a scheduling scheme of the urban management patrol staff is important for maintaining public order of cities and safety of citizens, and for urban management patrol scheduling, limited human resources often cannot discover and process events in time due to limited human resources and actual condition differences of different areas. Therefore, there is a need to monitor the trend of the number of urban management events over an area.
In the city management process, city patrol events and grid reporting events are carried out every day; in the actual investigation process, the number of events fed back by working days and non-working days is obviously different (the difference between the number of the events can reach 2 to 3 times) due to factors such as manpower and material resources, and the change trend of the number of the urban management events cannot be reflected directly through the daily cycle ratio of the number of the urban management events.
In some solutions, although the introduction of the moving average line eliminates the quantity difference between holidays and workdays, the change trend of the quantity of the events is still not accurate enough through the simple change of the ring ratio, and inaccurate prediction caused by frequent moving average line false signals can occur, and finally, the intervention strategy of urban management events is influenced. In order to more accurately grasp the inversion signal of the change of the number of events, a scheme with higher prediction accuracy needs to be found.
Therefore, how to improve the accuracy of urban management event prediction and how to execute urban management event intervention according to the prediction result is a technical problem to be solved.
Disclosure of Invention
The invention mainly aims to provide a city management event intervention control method, a city management event intervention control device, city management event intervention control equipment and a storage medium, and aims to improve the accuracy of city management event prediction and execute city management event intervention according to a prediction result.
In order to achieve the above object, the present invention provides a city management event intervention control method, the method comprising the steps of:
acquiring historical city management event information in a regional range; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
According to the historical city management event information, determining a daily fast moving average value and a daily slow moving average value in a regional range;
Calculating to obtain a daily dispersion value based on a fast moving average value and a slow moving average value of each day in the area range, and determining a daily dispersion average value according to the dispersion value;
And generating an urban management event intervention control strategy according to the deviation value and the deviation average value corresponding to the current date, and executing intervention according to the urban management event intervention control strategy.
Optionally, the step of determining a fast moving average and a slow moving average of each day in the area according to the historical city management event information specifically includes:
Analyzing the historical city management event information, and extracting a high-frequency event occurrence interval period in the historical city management event information;
determining a coverage period of the fast moving average and the slow moving average based on the interval period;
The daily fast moving average and slow moving average over the area are calculated based on the coverage period of the fast moving average and slow moving average.
Optionally, the coverage period of the fast moving average is 2 high-frequency event occurrence interval periods, and the coverage period of the slow moving average is 4 high-frequency event occurrence interval periods.
Optionally, the step of calculating and obtaining the daily fast moving average and the slow moving average within the area according to the coverage period of the fast moving average and the slow moving average specifically includes:
(1) The expression for calculating the fast moving average is:
；
(2) The expression for calculating the slow moving average is:
；
Where T is the date, T1 is the coverage period of the fast moving average, T2 is the coverage period of the slow moving average, V is the number of city management events, Date of presentation/>The number of city management events at that time.
Optionally, the step of calculating and obtaining a daily dispersion value based on the daily fast moving average and the daily slow moving average within the area range specifically includes:
the expression for calculating daily variance values is:
；
Wherein, Is a fast moving average,/>Is a slow moving average.
Optionally, determining a daily dispersion average value according to the dispersion value, which specifically includes:
the expression for determining daily dispersion averages is:
；
Wherein, As the average of dispersion on day T-1,/>For the difference on day T, when T is 1, the average value of the differences takes the difference on that day.
Optionally, generating an interference control strategy step of the urban management event according to the deviation value and the deviation average value corresponding to the current date, which specifically includes:
When the variance value is positive: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K1; if the dispersion value exceeds the dispersion average value, assigning an interference quantization value of the urban management event as K2;
when the variance value is negative: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K2; if the dispersion average value is a negative value, assigning an interference quantization value of the urban management event as K1; if the deviation value is lower than the deviation average value, assigning an interference quantization value of the urban management event as K3;
Wherein K3 is more than K1 and less than K2;
Generating an urban management event intervention resource allocation strategy according to the urban management event intervention quantized value; wherein, the urban management event intervenes the resource allocation policy is: the interference resources of the urban management events allocated to the corresponding dates are distributed in positive correlation with the interference quantized values of the urban management events; wherein the city management event intervention resource comprises city management personnel and/or equipment.
In addition, in order to achieve the above object, the present invention also provides an intervention control device for urban management events, including:
The acquisition module is used for acquiring historical city management event information in the regional range; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
the determining module is used for determining a fast moving average value and a slow moving average value of each day in the area range according to the historical city management event information;
The computing module is used for computing to obtain a daily dispersion value based on a fast moving average value and a slow moving average value of each day in the area range, and determining a daily dispersion average value according to the dispersion value;
And the intervention module is used for generating an intervention control strategy of the urban management event according to the deviation value and the deviation average value corresponding to the current date, and executing intervention according to the intervention control strategy of the urban management event.
In addition, in order to achieve the above object, the present invention also provides a municipal administration event intervention control apparatus comprising: the system comprises a memory, a processor and a city management event intervention control program stored on the memory and capable of running on the processor, wherein the city management event intervention control program realizes the steps of the city management event intervention control method when being executed by the processor.
In addition, in order to achieve the above object, the present invention also provides a storage medium having stored thereon a municipal administration event intervention control program which, when executed by a processor, implements the steps of the above-described municipal administration event intervention control method.
The invention has the beneficial effects that: the method, the device, the equipment and the storage medium for interference control of the urban management event are provided, the daily deviation value and the daily deviation average value are calculated and obtained by determining the daily fast moving average value and the daily slow moving average value in the area range, and the urban management event interference control strategy is generated by the daily deviation value and the daily deviation average value, and the urban management event prediction accuracy is improved by monitoring the change trend and the number reversal of the urban management event, and the urban management efficiency is improved by adopting an interference means which is more suitable for the current change trend.
Drawings
FIG. 1 is a schematic diagram of a device structure of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an embodiment of a method for controlling intervention of a city management event according to the present invention;
fig. 3 is a block diagram of a device for controlling intervention of a city management event according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic diagram of an apparatus structure of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the apparatus may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the arrangement of the apparatus shown in fig. 1 is not limiting and may include more or fewer components than shown, or certain components may be combined, or a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a city management event intervention control program may be included in a memory 1005, which is a type of computer storage medium.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the city management event intervention control program stored in the memory 1005 and perform the following operations:
acquiring historical city management event information in a regional range; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
According to the historical city management event information, determining a daily fast moving average value and a daily slow moving average value in a regional range;
Calculating to obtain a daily dispersion value based on a fast moving average value and a slow moving average value of each day in the area range, and determining a daily dispersion average value according to the dispersion value;
And generating an urban management event intervention control strategy according to the deviation value and the deviation average value corresponding to the current date, and executing intervention according to the urban management event intervention control strategy.
The specific embodiment of the present invention applied to the apparatus is basically the same as each embodiment of the following method for applying the intervention control of the urban management event, and will not be described herein.
The embodiment of the invention provides a city management event intervention control method, and referring to fig. 2, fig. 2 is a flow chart of the embodiment of the city management event intervention control method.
In this embodiment, the method for controlling intervention of a city management event includes the following steps:
s100: acquiring historical city management event information in a regional range; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
S200: according to the historical city management event information, determining a daily fast moving average value and a daily slow moving average value in a regional range;
s300: calculating to obtain a daily dispersion value based on a fast moving average value and a slow moving average value of each day in the area range, and determining a daily dispersion average value according to the dispersion value;
S400: and generating an urban management event intervention control strategy according to the deviation value and the deviation average value corresponding to the current date, and executing intervention according to the urban management event intervention control strategy.
It should be noted that, in the city management process, city inspection events and grid reporting events are all carried out every day; in the actual investigation process, the number of events fed back by working days and non-working days is obviously different (the difference between the number of the events can reach 2 to 3 times) due to factors such as manpower and material resources, and the change trend of the number of the urban management events cannot be reflected directly through the daily cycle ratio of the number of the urban management events. In some solutions, although the introduction of the moving average line eliminates the quantity difference between holidays and workdays, the change trend of the quantity of the events is still not accurate enough through the simple change of the ring ratio, and inaccurate prediction caused by frequent moving average line false signals can occur, and finally, the intervention strategy of urban management events is influenced. In order to more accurately grasp the inversion signal of the change of the number of events, a scheme with higher prediction accuracy needs to be found.
In order to solve the above problems, in this embodiment, a daily deviation value and a daily deviation average value are calculated and obtained by determining a daily fast moving average value and a daily slow moving average value within a region range, and an urban management event intervention control strategy is generated according to the daily deviation value and the daily deviation average value, and the urban management event prediction accuracy is improved by monitoring the number change trend and the number reversal of urban management events, and the urban management event efficiency is improved by adopting an intervention means more suitable for the current change trend.
In a preferred embodiment, the step of determining a daily fast moving average and a daily slow moving average over the area according to the historical city management event information specifically comprises: analyzing the historical city management event information, and extracting a high-frequency event occurrence interval period in the historical city management event information; determining a coverage period of the fast moving average and the slow moving average based on the interval period; the daily fast moving average and slow moving average over the area are calculated based on the coverage period of the fast moving average and slow moving average.
The coverage period of the fast moving average value is 2 high-frequency event occurrence interval periods, and the coverage period of the slow moving average value is 4 high-frequency event occurrence interval periods.
Wherein, according to the coverage period of the fast moving average value and the slow moving average value, the step of calculating and obtaining the daily fast moving average value and the slow moving average value in the area range specifically comprises the following steps:
(1) The expression for calculating the fast moving average is:
；
(2) The expression for calculating the slow moving average is:
；
Where T is the date, T1 is the coverage period of the fast moving average, T2 is the coverage period of the slow moving average, V is the number of city management events, Date of presentation/>The number of city management events at that time.
In practical application, the fast moving average line adopts 14-day moving average line EMA14, and the date is set to be T, and the number of events occurring on the date T is set to be V (T), then:
the value of the 14-day moving average EMA14 at date T is:
in practical application, the slow moving average line adopts 28-day moving average line EMA28
Let date be T and the number of events occurring at date T be V (T), then:
the value of the 28 day moving average EMA28 at date T is:
In a preferred embodiment, the step of calculating a daily dispersion value based on a daily fast moving average and a daily slow moving average over the area comprises in particular:
the expression for calculating daily variance values is:
；
Wherein, Is a fast moving average,/>Is a slow moving average.
In a preferred embodiment, the step of determining a daily dispersion average value according to the dispersion value specifically comprises:
the expression for determining daily dispersion averages is:
；
Wherein, As the average of dispersion on day T-1,/>For the difference on day T, when T is 1, the average value of the differences takes the difference on that day.
In a preferred embodiment, the step of generating the city management event intervention control strategy according to the deviation value and the deviation average value corresponding to the current date specifically includes: when the variance value is positive: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K1; if the dispersion value exceeds the dispersion average value, assigning an interference quantization value of the urban management event as K2; when the variance value is negative: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K2; if the dispersion average value is a negative value, assigning an interference quantization value of the urban management event as K1; if the deviation value is lower than the deviation average value, assigning an interference quantization value of the urban management event as K3; wherein K3 is more than K1 and less than K2; generating an urban management event intervention resource allocation strategy according to the urban management event intervention quantized value; wherein, the urban management event intervenes the resource allocation policy is: the interference resources of the urban management events allocated to the corresponding dates are distributed in positive correlation with the interference quantized values of the urban management events; wherein the city management event intervention resource comprises city management personnel and/or equipment.
In practical applications, the fast moving average EMA14 represents a short-term change in the number of events, and the slow moving average EMA28 represents a long-term change in the number of events. EMA14 is more sensitive to changes in the number of events than EMA 28. The variance DIF reflects the trend between short-term and long-term changes, and the variance average DEA reflects the trend of variance. Also, DIF is more sensitive to the trend of change between short and long periods than DEA. When DIF is positive, it means that the number of events starts to rise significantly in a short period; if DEA is negative at this time, it indicates that the event count increasing trend is not fully formed at this time; when DEA turns to positive value, it shows that the increasing trend of the event number is formed, and external intervention is needed to restrain the event number from increasing; in particular, when the DIF line breaks up the DEA line, it is shown that the number of events increases rapidly in a short period of time, requiring an increase in external intervention (e.g., increasing allocation of resources for urban management event intervention). Conversely, when DIF is negative, it indicates that the number of events begins to drop significantly in a short period of time; if DEA is positive at this time, it shows that the increasing trend of the event number does not reach the peak value at this time, and external intervention is still needed; when DEA turns to a negative value, the event number is indicated to enter a descending trend, so that external intervention can be gradually reduced, and administrative cost is reduced; in particular, when the DIF line breaks down the DEA line, indicating a rapid decrease in the number of events in the short term, external intervention (e.g., reducing allocation of municipal administration event intervention resources) may be further reduced.
In this embodiment, a method for controlling urban management event intervention is provided, in which a daily deviation value and a daily deviation average value are obtained by determining a daily fast moving average value and a daily slow moving average value within a regional range, and an urban management event intervention control strategy is generated according to the daily deviation value and the daily deviation average value, and the accuracy of urban management event prediction is improved by monitoring the number change trend and the number reversal of urban management events, and the efficiency of urban management is improved by adopting an intervention means more suitable for the current change trend.
Referring to fig. 3, fig. 3 is a block diagram illustrating an embodiment of an intervention control unit for urban management events according to the present invention.
As shown in fig. 3, the urban management event intervention control device provided by the embodiment of the invention includes:
an acquisition module 10, configured to acquire historical city management event information within a regional scope; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
A determining module 20, configured to determine a fast moving average and a slow moving average of each day in the area according to the historical city management event information;
A calculation module 30, configured to calculate a daily dispersion value based on the fast moving average and the slow moving average of each day in the area range, and determine a daily dispersion average according to the dispersion value;
And the intervention module 40 is configured to generate an intervention control strategy for the urban management event according to the deviation value and the deviation average value corresponding to the current date, and execute an intervention according to the intervention control strategy for the urban management event.
Other embodiments or specific implementation manners of the urban management event intervention control device of the present invention may refer to the above method embodiments, and are not described herein.
In addition, the invention also provides a city management event intervention control device, which comprises: the system comprises a memory, a processor and a city management event intervention control program stored on the memory and capable of running on the processor, wherein the city management event intervention control program realizes the steps of the city management event intervention control method when being executed by the processor.
The specific implementation manner of the urban management event intervention control device is basically the same as that of each embodiment of the urban management event intervention control method, and is not repeated here.
Furthermore, the invention also proposes a readable storage medium comprising a computer readable storage medium having stored thereon a city management event intervention control program. The readable storage medium may be a Memory 1005 in the terminal of fig. 1, or may be at least one of a ROM (Read-Only Memory)/RAM (Random Access Memory), a magnetic disk, and an optical disk, and the readable storage medium includes several instructions for causing a device for controlling a management event intervention with a processor to perform the method for controlling a management event intervention according to the embodiments of the present invention.
The specific implementation manner of the readable storage medium of the present application is basically the same as the embodiments of the above-mentioned urban management event intervention control method, and will not be repeated here.
It is appreciated that in the description herein, reference to the terms "one embodiment," "another embodiment," "other embodiments," or "first through nth embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) as described above, comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (5)
1. A method for intervention control of a city management event, the method comprising the steps of:
acquiring historical city management event information in a regional range; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
According to the historical city management event information, determining a daily fast moving average value and a daily slow moving average value in a regional range;
The step of determining a fast moving average value and a slow moving average value of each day in the area range according to the historical city management event information specifically comprises the following steps: analyzing the historical city management event information, and extracting a high-frequency event occurrence interval period in the historical city management event information; determining a coverage period of the fast moving average and the slow moving average based on the interval period; calculating a daily fast moving average value and a daily slow moving average value in the area according to the coverage period of the fast moving average value and the slow moving average value;
wherein, according to the coverage period of the fast moving average value and the slow moving average value, the step of calculating and obtaining the daily fast moving average value and the slow moving average value in the area range specifically comprises the following steps:
(1) The expression for calculating the fast moving average is:
；
(2) The expression for calculating the slow moving average is:
；
Where T is the date, T1 is the coverage period of the fast moving average, T2 is the coverage period of the slow moving average, V is the number of city management events, Date of presentation/>The number of city management events at that time;
Calculating to obtain a daily dispersion value based on a fast moving average value and a slow moving average value of each day in the area range, and determining a daily dispersion average value according to the dispersion value;
Wherein, based on the daily fast moving average and slow moving average in the regional scope, calculate and obtain the step of the daily dispersion, specifically include:
the expression for calculating daily variance values is:
；
Wherein, Is a fast moving average,/>Is a slow moving average;
The step of determining a daily dispersion average value according to the dispersion value specifically comprises the following steps:
the expression for determining daily dispersion averages is:
；
Wherein, As the average of dispersion on day T-1,/>Taking the deviation value of the day as the deviation value of the day T, and taking the deviation value of the day when T is 1;
Generating an urban management event intervention control strategy according to the deviation value and the deviation average value corresponding to the current date, and executing intervention according to the urban management event intervention control strategy;
generating an interference control strategy step of the urban management event according to the deviation value and the deviation average value corresponding to the current date, wherein the interference control strategy step specifically comprises the following steps:
When the variance value is positive: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K1; if the dispersion value exceeds the dispersion average value, assigning an interference quantization value of the urban management event as K2;
when the variance value is negative: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K2; if the dispersion average value is a negative value, assigning an interference quantization value of the urban management event as K1; if the deviation value is lower than the deviation average value, assigning an interference quantization value of the urban management event as K3;
Wherein K3 is more than K1 and less than K2;
Generating an urban management event intervention resource allocation strategy according to the urban management event intervention quantized value; wherein, the urban management event intervenes the resource allocation policy is: the interference resources of the urban management events allocated to the corresponding dates are distributed in positive correlation with the interference quantized values of the urban management events; wherein the city management event intervention resource comprises city management personnel and/or equipment.
2. The urban management event intervention control method according to claim 1, wherein the coverage period of the fast moving average is 2 high frequency event occurrence interval periods, and the coverage period of the slow moving average is 4 high frequency event occurrence interval periods.
3. An urban management event intervention control arrangement, comprising:
The acquisition module is used for acquiring historical city management event information in the regional range; the historical city management event information comprises a plurality of city management events recorded with event occurrence dates;
the determining module is used for determining a fast moving average value and a slow moving average value of each day in the area range according to the historical city management event information;
According to the historical city management event information, a fast moving average value and a slow moving average value of each day in an area range are determined, and the method specifically comprises the following steps: analyzing the historical city management event information, and extracting a high-frequency event occurrence interval period in the historical city management event information; determining a coverage period of the fast moving average and the slow moving average based on the interval period; calculating a daily fast moving average value and a daily slow moving average value in the area according to the coverage period of the fast moving average value and the slow moving average value;
wherein, according to the coverage period of the fast moving average value and the slow moving average value, the fast moving average value and the slow moving average value of each day in the area range are calculated and obtained, and the method specifically comprises the following steps:
(1) The expression for calculating the fast moving average is:
；
(2) The expression for calculating the slow moving average is:
；
Where T is the date, T1 is the coverage period of the fast moving average, T2 is the coverage period of the slow moving average, V is the number of city management events, Date of presentation/>The number of city management events at that time;
The computing module is used for computing to obtain a daily dispersion value based on a fast moving average value and a slow moving average value of each day in the area range, and determining a daily dispersion average value according to the dispersion value;
Wherein, based on the daily fast moving average and the daily slow moving average in the regional scope, calculate and obtain daily dispersion value, specifically include:
the expression for calculating daily variance values is:
；
Wherein, Is a fast moving average,/>Is a slow moving average;
The step of determining a daily dispersion average value according to the dispersion value specifically comprises the following steps:
the expression for determining daily dispersion averages is:
；
Wherein, As the average of dispersion on day T-1,/>Taking the deviation value of the day as the deviation value of the day T, and taking the deviation value of the day when T is 1;
The intervention module is used for generating an intervention control strategy of the urban management event according to the deviation value and the deviation average value corresponding to the current date, and executing intervention according to the intervention control strategy of the urban management event;
generating an interference control strategy step of the urban management event according to the deviation value and the deviation average value corresponding to the current date, wherein the interference control strategy step specifically comprises the following steps:
When the variance value is positive: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K1; if the dispersion value exceeds the dispersion average value, assigning an interference quantization value of the urban management event as K2;
when the variance value is negative: if the dispersion average value is a positive value, assigning an interference quantization value of the urban management event as K2; if the dispersion average value is a negative value, assigning an interference quantization value of the urban management event as K1; if the deviation value is lower than the deviation average value, assigning an interference quantization value of the urban management event as K3;
Wherein K3 is more than K1 and less than K2;
Generating an urban management event intervention resource allocation strategy according to the urban management event intervention quantized value; wherein, the urban management event intervenes the resource allocation policy is: the interference resources of the urban management events allocated to the corresponding dates are distributed in positive correlation with the interference quantized values of the urban management events; wherein the city management event intervention resource comprises city management personnel and/or equipment.
4. A municipal administration event intervention control apparatus, wherein the municipal administration event intervention control apparatus comprises: memory, a processor and a municipal administration event intervention control program stored on the memory and executable on the processor, which when executed by the processor, implements the steps of the municipal administration event intervention control method of any of claims 1 to 2.
5. A storage medium having stored thereon a municipal administration event intervention control program which when executed by a processor implements the steps of the municipal administration event intervention control method of any of claims 1 to 2.
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