CN115271526A - Smart city management system based on digital twin - Google Patents
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Abstract
The invention discloses a smart city management system based on a digital twin, which relates to the technical field of smart city management and solves the technical problems that in the prior art, the corresponding region of a smart city cannot ensure the timeliness of information transmission in the region and the controllability of each department in the region cannot be analyzed; and carrying out quantitative analysis on each department in the control area, judging the real-time running state of the control area, and simultaneously analyzing the corresponding controllability of each department in the control area, so that the control intensity and the control efficiency of the control area of the smart city are improved.
Description
Technical Field
The invention relates to the technical field of smart city management, in particular to a smart city management system based on digital twin.
Background
The digital twin is to fully utilize data such as a physical model, sensor updating, operation history and the like, integrate a simulation process with multiple subjects, multiple physical quantities, multiple scales and multiple probabilities, and complete mapping in a virtual space so as to reflect the full life cycle process of corresponding entity equipment, the smart city management is a new city management mode supported by a new generation of information technology, comprehensive and thorough perception, broadband ubiquitous interconnection and intelligent fusion application are realized through the support of the new generation of information technology, people-oriented sustainable innovation characterized by user innovation, open innovation, public innovation and collaborative innovation is promoted, and the smart city management is an important component of a smart city;
however, in the prior art, the corresponding region of the smart city cannot guarantee the timeliness of information transmission in the region, and meanwhile, the controllability of each department in the region cannot be analyzed, so that the smart city management and control efficiency is low, and the controllability is poor; meanwhile, whether the real-time operation of each department is qualified or not cannot be accurately judged, and the supervision of the smart city is reduced;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a digital twin-based intelligent city management system, which analyzes the information acquisition in a city management area in time, judges whether the information in the city management area has timeliness, prevents the low information timeliness from causing the low city management efficiency and can not accurately and reasonably control; and carrying out quantitative analysis on each department in the control area, judging the real-time running state of the control area, and simultaneously analyzing the corresponding controllability of each department in the control area, so that the control intensity and the control efficiency of the control area of the smart city are improved.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a wisdom city management system based on digit twin, includes management platform, and management platform communication connection has:
the information timeliness analysis unit is used for carrying out timeliness analysis on information acquisition in the city management area, marking the city management area as a control area, generating timeliness abnormal signals and timeliness normal signals through analysis, and sending the timeliness abnormal signals and the timeliness normal signals to the management platform;
the system comprises a quantitative index analysis unit, a management platform and a control platform, wherein the quantitative index analysis unit is used for carrying out quantitative analysis on each department in a control area, judging the real-time running state of the control area, obtaining a quantitative index analysis coefficient in the control area through analysis, comparing the quantitative index analysis coefficient with the quantitative index analysis coefficient to generate a qualified area control efficiency signal and an unqualified area control efficiency signal, and sending the qualified area control efficiency signal and the unqualified area control efficiency signal to the management platform;
the real-time operation monitoring and early warning unit is used for monitoring and early warning each department in the control area, generating an operation early warning signal, an inefficient operation signal and an efficient operation signal through analysis, and sending the operation early warning signal, the inefficient operation signal and the efficient operation signal to the management platform;
and the cooperative emergency detection unit is used for detecting cooperative emergency of each department in the control area, generating a cooperative emergency abnormal signal and a cooperative emergency normal signal through analysis, and sending the signals to the management platform.
As a preferred embodiment of the present invention, the operation process of the information timeliness analysis unit is as follows:
collecting the real-time updating period of the operation information of each department in the control area and the updating value deviation of the operation information of the corresponding department, and comparing the real-time updating period with the updating period threshold and the updating value deviation threshold respectively:
if the real-time updating period of the operation information of each department in the control area exceeds the updating period threshold value or the updating value deviation of the operation information of the corresponding department exceeds the updating value deviation threshold value, judging that the timeliness analysis of the information in the control area is unqualified, generating a timeliness abnormal signal and sending the timeliness abnormal signal to the management platform; if the real-time updating period of the operation information of each department in the control area does not exceed the updating period threshold value and the updating value deviation of the operation information of the corresponding department does not exceed the updating value deviation threshold value, the timeliness analysis of the information in the control area is judged to be qualified, and a timeliness normal signal is generated and sent to the management platform.
As a preferred embodiment of the present invention, the operation of the quantitative index analyzing unit is as follows:
analyzing the operation information of each department in the control area, and if the control direction of the corresponding numerical value of single data in the operation information of the department is promoting to increase, marking the corresponding data as proportional data; on the contrary, if the corresponding numerical value control direction of single data in the operation information of the department is the inhibition growth, the corresponding data is marked as inverse ratio data;
acquiring the qualification rate of department corresponding to the control of the proportional data in the control area, the time consumption of the department corresponding to the control of the floating of the proportional data value, the proportional data quantity value of the growth trend and the inverse data quantity value of the reduction trend in the control area; obtaining a quantitative index analysis coefficient in a control area through analysis;
comparing the quantitative index analysis coefficient in the control area with a quantitative index analysis coefficient threshold value:
if the quantitative index analysis coefficient in the control area exceeds the quantitative index analysis coefficient threshold value, judging that the quantitative index in the control area is qualified in analysis, generating a qualified area control efficiency signal and sending the qualified area control efficiency signal to a management platform; and if the quantitative index analysis coefficient in the control area does not exceed the quantitative index analysis coefficient threshold value, judging that the quantitative index analysis in the control area is unqualified, generating an area control efficiency unqualified signal and sending the area control efficiency unqualified signal to the management platform.
As a preferred embodiment of the present invention, the operation process of the real-time operation monitoring and early warning unit is as follows:
monitoring each department in a control area, setting a historical operation time period, acquiring a lower limit value of the department corresponding to the proportional data and an average growth speed of the department corresponding to the proportional data in the historical operation time period, and marking the lower limit value and the average growth speed as a proportional lower limit value and a proportional upper speed respectively; collecting an upper limit value corresponding to the inverse proportion data and an average reduction speed corresponding to the inverse proportion data of a department in a historical operation time period, and respectively marking the upper limit value and the average reduction speed as an inverse proportion upper limit value and an inverse proportion lower speed;
acquiring a real-time operation time period of a control area, if real-time proportional data of departments in the control area do not exceed a proportional lower limit value or real-time inverse proportion data of corresponding departments exceed an inverse proportion upper limit value in the real-time operation time period, judging that the corresponding departments in the control area are abnormal in operation, generating an operation early warning signal and sending the operation early warning signal to a management platform; and if the real-time proportional data of departments in the control area in the real-time operation time period exceeds the proportional lower limit value and the real-time inverse proportion data of the corresponding departments do not exceed the inverse proportion upper limit value, performing speed analysis.
As a preferred embodiment of the present invention, the velocity analysis process is as follows:
if the average increasing speed of real-time proportional data of departments in the control area does not exceed the proportional upper speed or the average decreasing speed of the corresponding inverse proportional data of the departments does not exceed the inverse lower speed within the real-time operation time period, judging that the operation efficiency of the corresponding departments is low, generating inefficient operation signals and sending the inefficient operation signals to the management platform;
and if the average increasing speed of real-time proportional data of departments in the control area exceeds the proportional upper speed and the average decreasing speed of the corresponding inverse proportional data of the departments exceeds the inverse lower speed within the real-time operation time period, judging that the operation efficiency of the corresponding departments is high, generating high-efficiency operation signals and sending the high-efficiency operation signals to the management platform.
As a preferred embodiment of the present invention, the operation process of the cooperative emergency detection unit is as follows:
acquiring an emergency event of a control area, acquiring a maximum duration difference value of a corresponding department of the emergency event in the control area at a corresponding counter measure execution time and a difference value of the corresponding department counter measure execution duration, and comparing the maximum duration difference value with a maximum duration difference threshold value:
if the maximum time length difference value of the corresponding department of the emergency event in the control area exceeds the maximum time length difference value threshold, or the difference value of the corresponding department of the emergency event exceeds the execution time length difference value threshold, generating a collaborative emergency abnormal signal and sending the collaborative emergency abnormal signal to the management platform;
and if the maximum time length difference value of the corresponding department of the emergency event in the control area does not exceed the maximum time length difference value threshold value and the difference value of the corresponding department of the emergency event does not exceed the execution time length difference value threshold value, generating a cooperative emergency normal signal and sending the cooperative emergency normal signal to the management platform.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the information acquisition in the city management area is analyzed in timeliness, whether the information in the city management area has timeliness is judged, and the low city management efficiency caused by low information timeliness is prevented, so that the reasonable control cannot be accurately carried out; each department in the control area is subjected to quantitative analysis, the real-time operation state of the control area is judged, and meanwhile, the corresponding controllability of each department in the control area is analyzed, so that the control force and the control efficiency of the control area of the smart city are improved;
2. according to the invention, each department in the control area is monitored and early warned, so that the situation that the corresponding department still runs inefficiently on the premise that the control efficiency is qualified is prevented, and the control efficiency of the smart city in the control area is reduced; the cooperative emergency of each department in the control area is detected, and whether the linkage of each department is qualified or not is judged, so that the control strength of the control area is ensured, and the efficiency of smart city control in the control area is improved.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a digital twin-based smart city management system according to the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
With the accelerated construction of cities, the management problem of the cities becomes more serious and is more and more widely concerned by people, and the old management mode cannot meet the requirement of the current city management; referring to fig. 1, a digital twin-based smart city management system includes a management platform, the management platform is connected with an information timeliness analysis unit, a quantitative index analysis unit, a real-time operation monitoring and early warning unit and a collaborative emergency detection unit in a communication manner, wherein the management platform is connected with the information timeliness analysis unit, the quantitative index analysis unit, the real-time operation monitoring and early warning unit and the collaborative emergency detection unit in a bidirectional communication manner;
the management platform generates an information timeliness analysis signal and sends the information timeliness analysis signal to the information timeliness analysis unit, and the information timeliness analysis unit analyzes information collection in the city management area in timeliness after receiving the information timeliness analysis signal, judges whether the information in the city management area has timeliness or not, prevents low city management efficiency caused by low information timeliness and can not accurately and reasonably control;
marking the city management area as a control area, acquiring the real-time updating period of the operation information of each department and the updating numerical deviation of the operation information of the corresponding department in the control area, and comparing the real-time updating period of the operation information of each department and the updating numerical deviation of the operation information of the corresponding department in the control area with an updating period threshold and an updating numerical deviation threshold respectively: the department in the control area is represented as a department required by city control in the prior art, such as a traffic management department, an environmental protection management department, a transportation management department and the like, the operation information is represented as related data of the corresponding department, and the operation information corresponding to the traffic management department is represented as related data of congestion frequency, vehicle traffic volume, communication speed and the like;
if the real-time updating period of the operation information of each department in the control area exceeds the updating period threshold value, or the updating value deviation of the operation information of the corresponding department exceeds the updating value deviation threshold value, judging that the information in the control area is unqualified in timeliness analysis, generating a timeliness abnormal signal and sending the timeliness abnormal signal to the management platform, after receiving the timeliness abnormal signal, the management platform controls the information updating period of each department in the control area, meanwhile, the accuracy of the information updating value is ensured, and the smart city management is continued after the period control, otherwise, the smart city management is not performed, so that the accuracy of the management is low and unnecessary cost waste is caused;
if the real-time updating period of the operation information of each department in the control area does not exceed the updating period threshold value and the updating value deviation of the operation information of the corresponding department does not exceed the updating value deviation threshold value, judging that the timeliness analysis of the information in the control area is qualified, generating a timeliness normal signal and sending the timeliness normal signal to the management platform;
after the management platform receives the timeliness normal signal, the management platform judges that the corresponding control area can carry out smart city control, generates a quantitative index analysis signal and sends the quantitative index analysis signal to a quantitative index analysis unit, after the quantitative index analysis unit receives the quantitative index analysis signal, each department in the control area carries out quantitative analysis, the real-time running state of the control area is judged, and meanwhile, the corresponding controllability of each department in the control area is analyzed, so that the control strength and the control efficiency of the smart city control area are improved;
analyzing the operation information of each department in the control area, and if the numerical control direction corresponding to a single data in the operation information of the department is promoting growth, marking the corresponding data as proportional data; on the contrary, if the corresponding numerical value control direction of single data in the operation information of the department is the inhibition growth, the corresponding data is marked as inverse ratio data; for example: if the department is a traffic management department, the road congestion frequency in the corresponding operation information is inverse proportion data, and the control direction corresponding to the congestion frequency is to inhibit the increase; meanwhile, the number of vehicles which can pass through the road is proportional data, and the control direction corresponding to the number of vehicles which can pass through is used for promoting the increase;
acquiring the qualification rate of the department corresponding to the proportional data control in the control area and the time consumption of the department corresponding to the control after the inverse proportion data numerical value floats, and respectively marking the qualification rate of the department corresponding to the proportional data control in the control area and the time consumption of the department corresponding to the control after the inverse proportion data numerical value floats as HG and HS; acquiring a proportional data quantity value of a growth trend and an inverse proportional data quantity value of a reduction trend in a control region, and respectively marking the proportional data quantity value of the growth trend and the inverse proportional data quantity value of the reduction trend in the control region as ZBS and FBS;
by the formula
Obtaining a quantitative index analysis coefficient X in a control area, wherein a1, a2, a3 and a4 are preset proportionality coefficients, a1 is greater than a2 and greater than a3 and greater than a4 and greater than 0, and beta is an error correction factor and takes the value of 0.657;
comparing the quantitative index analysis coefficient X in the control area with a quantitative index analysis coefficient threshold value:
if the quantitative index analysis coefficient X in the control area exceeds a quantitative index analysis coefficient threshold value, judging that the quantitative index analysis in the control area is qualified, generating a qualified area control efficiency signal and sending the qualified area control efficiency signal to a management platform;
if the quantitative index analysis coefficient X in the control area does not exceed the quantitative index analysis coefficient threshold, judging that the quantitative index analysis in the control area is unqualified, generating an unqualified area control efficiency signal and sending the unqualified area control efficiency signal to a management platform;
it can be understood that, in order to analyze the proportional data control qualification rate and the inverse ratio data controllability of the control region, the quantitative index analysis of the control region is beneficial to enhancing the accuracy of the quantitative index analysis through the proportional data and inverse ratio data analysis, and the operation control state of each department in the control region is accurately judged;
after receiving the qualified regional control efficiency signal, the management platform generates a real-time operation monitoring and early warning signal and sends the real-time operation monitoring and early warning signal to the real-time operation monitoring and early warning unit, and the real-time operation monitoring and early warning unit carries out monitoring and early warning on each department in the control region after receiving the real-time operation monitoring and early warning signal, so that the situation that the corresponding department still runs inefficiently on the premise that the control efficiency is qualified is prevented, and the control efficiency of the smart city in the control region is reduced;
monitoring each department in the control area, setting a historical operation time period, acquiring a lower limit value of proportional data corresponding to the department and an average growth speed of the proportional data in the historical operation time period, and respectively marking the lower limit value and the average growth speed as a proportional lower limit value and a proportional upper speed; acquiring an upper limit value corresponding to the inverse proportion data and an average reduction speed corresponding to the inverse proportion data of a department in a historical operation time period, and marking the upper limit value and the lower speed as the inverse proportion upper limit value and the inverse proportion lower speed respectively;
acquiring a real-time operation time period of a control area, if real-time proportional data of departments in the control area do not exceed a proportional lower limit value or real-time inverse proportion data of corresponding departments exceed an inverse upper limit value in the real-time operation time period, judging that the corresponding departments in the control area are abnormal in operation, generating an operation early warning signal and sending the operation early warning signal to a management platform; if the real-time proportional data of departments in the control area in the real-time operation time period exceed the proportional lower limit value and the real-time inverse proportion data of the corresponding departments do not exceed the inverse proportion upper limit value, carrying out speed analysis:
if the average increasing speed of real-time proportional data of departments in the control area does not exceed the proportional increasing speed or the average decreasing speed of the corresponding inverse proportional data of the departments does not exceed the inverse proportional decreasing speed within the real-time operation time period, judging that the operation efficiency of the corresponding departments is low, generating an inefficient operation signal and sending the inefficient operation signal to a management platform;
if the average increasing speed of real-time proportional data of departments in the control area exceeds the proportional increasing speed and the average decreasing speed of the corresponding inverse proportion data of the departments exceeds the inverse proportion decreasing speed in the real-time operation time period, judging that the operation efficiency of the corresponding departments is high, generating high-efficiency operation signals and sending the high-efficiency operation signals to the management platform;
it can be understood that the real-time operation time period and the historical operation time period are adjacent time periods, and whether the real-time operation time period is qualified or not and the efficiency are both based on the historical operation time period;
after receiving the operation early warning signal or the low-efficiency operation signal, the management platform performs rectification on the corresponding department, generates a cooperative emergency detection signal and sends the cooperative emergency detection signal to the cooperative emergency detection unit, and after receiving the cooperative emergency detection signal, the cooperative emergency detection unit detects the cooperative emergency of each department in the control area and judges whether the linkage of each department is qualified or not, so that the control strength of the control area is ensured, and the efficiency of smart city control in the control area is improved;
acquiring an emergency event of a control area, wherein the emergency event is represented as an accident, a disaster and other events in the control area; in the application, if the emergency event is an accident in the control area, the corresponding department can be a traffic management department, a medical rescue department and the like, and the corresponding department performs collaborative analysis, so that the emergency capacity of the control area can be favorably detected, and the situation that the control strength of the control area cannot be kept optimal due to the fact that the emergency event cannot be processed in time is prevented;
acquiring a maximum time length difference value of the corresponding department of the emergency in the control area at the execution time of the corresponding counter measures and a difference value of the corresponding department at the execution time of the counter measures, and comparing the maximum time length difference value of the corresponding department of the emergency in the control area at the execution time of the counter measures and the difference value of the corresponding department at the execution time of the counter measures with a maximum time length difference threshold value and an execution time length difference threshold value respectively:
if the maximum time length difference value of the corresponding department of the emergency in the control area at the execution time of the corresponding measures exceeds the maximum time length difference value threshold value, or the difference value of the corresponding department of the corresponding measures at the execution time length exceeds the execution time length difference value threshold value, determining that the department collaborative emergency detection of the control area is unqualified, generating a collaborative emergency abnormal signal and sending the collaborative emergency abnormal signal to a management platform; after receiving the cooperative emergency abnormal signal, the management platform shortens the time consumed by information exchange of the internal door of the corresponding control area and improves the execution efficiency of each department;
if the maximum time length difference value of the corresponding department of the emergency in the control area at the execution time of the corresponding measures does not exceed the maximum time length difference threshold value and the difference value of the corresponding department at the execution time length of the corresponding measures does not exceed the execution time length difference threshold value, determining that the department collaborative emergency detection of the control area is qualified, generating a collaborative emergency normal signal and sending the collaborative emergency normal signal to a management platform;
the formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
when the system is used, the information acquisition in the urban management area is analyzed in time by the information and time analysis unit, the urban management area is marked as a control area, and a time abnormal signal and a time normal signal are generated by analysis and sent to the management platform; the method comprises the steps that each department in a control area is subjected to quantitative analysis through a quantitative index analysis unit, the real-time running state of the control area is judged, quantitative index analysis coefficients in the control area are obtained through analysis, a region control efficiency qualified signal and a region control efficiency unqualified signal are generated according to the comparison of the quantitative index analysis coefficients, and the region control efficiency qualified signal and the region control efficiency unqualified signal are sent to a management platform; monitoring and early warning are carried out on each department in the control area through a real-time operation monitoring and early warning unit, an operation early warning signal, an inefficient operation signal and an efficient operation signal are generated through analysis and are sent to a management platform; the cooperative emergency of each department in the control area is detected through the cooperative emergency detection unit, a cooperative emergency abnormal signal and a cooperative emergency normal signal are generated through analysis, and the signals are sent to the management platform.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The utility model provides a wisdom city management system based on digit twin which characterized in that, including management platform, management platform communication connection has:
the information timeliness analysis unit is used for carrying out timeliness analysis on information acquisition in the city management area, marking the city management area as a control area, generating a timeliness abnormal signal and a timeliness normal signal through analysis, and sending the timeliness abnormal signal and the timeliness normal signal to the management platform;
the system comprises a quantitative index analysis unit, a management platform and a control platform, wherein the quantitative index analysis unit is used for carrying out quantitative analysis on each department in a control area, judging the real-time running state of the control area, obtaining a quantitative index analysis coefficient in the control area through analysis, comparing the quantitative index analysis coefficient with the quantitative index analysis coefficient to generate a qualified area control efficiency signal and an unqualified area control efficiency signal, and sending the qualified area control efficiency signal and the unqualified area control efficiency signal to the management platform;
the real-time operation monitoring and early warning unit is used for monitoring and early warning each department in the control area, generating an operation early warning signal, an inefficient operation signal and an efficient operation signal through analysis, and sending the operation early warning signal, the inefficient operation signal and the efficient operation signal to the management platform;
and the cooperative emergency detection unit is used for detecting cooperative emergency of each department in the control area, generating a cooperative emergency abnormal signal and a cooperative emergency normal signal through analysis, and sending the signals to the management platform.
2. The system of claim 1, wherein the information timeliness analysis unit operates as follows:
collecting the real-time updating period of the operation information of each department in the control area and the updating value deviation of the operation information of the corresponding department, and comparing the real-time updating period with the updating period threshold and the updating value deviation threshold respectively:
if the real-time updating period of the operation information of each department in the control area exceeds the updating period threshold value or the updating value deviation of the operation information of the corresponding department exceeds the updating value deviation threshold value, judging that the timeliness analysis of the information in the control area is unqualified, generating a timeliness abnormal signal and sending the timeliness abnormal signal to a management platform; if the real-time updating period of the operation information of each department in the control area does not exceed the updating period threshold value and the updating value deviation of the operation information of the corresponding department does not exceed the updating value deviation threshold value, the timeliness analysis of the information in the control area is judged to be qualified, and a timeliness normal signal is generated and sent to the management platform.
3. The system of claim 1, wherein the quantitative index analysis unit operates as follows:
analyzing the operation information of each department in the control area, and if the control direction of the corresponding numerical value of single data in the operation information of the department is promoting to increase, marking the corresponding data as proportional data; if the control direction of the corresponding numerical value of the single data in the operation information of the department is the inhibition increase, the corresponding data is marked as the inverse ratio data;
acquiring the qualification rate of department corresponding to the control of the proportional data in the control area, the time consumption of the department corresponding to the control of the floating inverse ratio data value, the proportional data quantity value of the growth trend and the inverse ratio data quantity value of the reduction trend in the control area; obtaining a quantitative index analysis coefficient in a control area through analysis;
comparing the quantitative index analysis coefficient in the control area with a quantitative index analysis coefficient threshold value:
if the quantitative index analysis coefficient in the control area exceeds the quantitative index analysis coefficient threshold value, judging that the quantitative index analysis in the control area is qualified, generating a region control efficiency qualified signal and sending the region control efficiency qualified signal to the management platform; if the quantitative index analysis coefficient in the control area does not exceed the quantitative index analysis coefficient threshold, judging that the quantitative index analysis in the control area is unqualified, generating an area control efficiency unqualified signal and sending the area control efficiency unqualified signal to the management platform.
4. The intelligent city management system based on the digital twin as claimed in claim 1, wherein the real-time operation monitoring and early warning unit is operated as follows:
monitoring each department in a control area, setting a historical operation time period, acquiring a lower limit value of the department corresponding to the proportional data and an average growth speed of the department corresponding to the proportional data in the historical operation time period, and marking the lower limit value and the average growth speed as a proportional lower limit value and a proportional upper speed respectively; collecting an upper limit value corresponding to the inverse proportion data and an average reduction speed corresponding to the inverse proportion data of a department in a historical operation time period, and respectively marking the upper limit value and the average reduction speed as an inverse proportion upper limit value and an inverse proportion lower speed;
acquiring a real-time operation time period of a control area, if real-time proportional data of departments in the control area do not exceed a proportional lower limit value or real-time inverse proportion data of corresponding departments exceed an inverse proportion upper limit value in the real-time operation time period, judging that the corresponding departments in the control area are abnormal in operation, generating an operation early warning signal and sending the operation early warning signal to a management platform; and if the real-time proportional data of departments in the control area in the real-time operation time period exceeds the proportional lower limit value and the real-time inverse proportion data of the corresponding departments do not exceed the inverse proportion upper limit value, performing speed analysis.
5. The system of claim 4, wherein the speed analysis process comprises:
if the average increasing speed of real-time proportional data of departments in the control area does not exceed the proportional upper speed or the average decreasing speed of the corresponding inverse proportional data of the departments does not exceed the inverse lower speed within the real-time operation time period, judging that the operation efficiency of the corresponding departments is low, generating inefficient operation signals and sending the inefficient operation signals to the management platform;
and if the average increasing speed of real-time proportional data of departments in the control area exceeds the proportional increasing speed and the average decreasing speed of the corresponding inverse proportion data of the departments exceeds the inverse proportion decreasing speed in the real-time operation time period, judging that the operation efficiency of the corresponding departments is high, generating high-efficiency operation signals and sending the high-efficiency operation signals to the management platform.
6. The intelligent city management system based on digital twin as claimed in claim 1, wherein the operation process of the cooperative emergency detection unit is as follows:
acquiring an emergency event of a control area, acquiring a maximum time length difference value of a corresponding department of the emergency event in the control area at a corresponding countermeasure execution time and a difference value of the corresponding department at the corresponding countermeasure execution time length, and comparing the maximum time length difference value threshold value and the corresponding department at the corresponding countermeasure execution time length difference value threshold value:
if the maximum time length difference value of the corresponding department of the emergency event in the control area exceeds the maximum time length difference value threshold, or the difference value of the corresponding department of the emergency event exceeds the execution time length difference value threshold, generating a collaborative emergency abnormal signal and sending the collaborative emergency abnormal signal to the management platform;
and if the maximum time length difference value of the corresponding department of the emergency event in the control area does not exceed the maximum time length difference value threshold value and the difference value of the corresponding department of the emergency event does not exceed the execution time length difference value threshold value, generating a cooperative emergency normal signal and sending the cooperative emergency normal signal to the management platform.
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