CN116545795A - Data processing system of cloud computing data center - Google Patents

Abstract

The invention discloses a data processing system of a cloud computing data center, which relates to the technical field of data processing and comprises a front end acquisition unit, a data processing unit and a background management and control unit, wherein the front end acquisition unit, the data processing unit and the background management and control unit are connected through signals, household data are acquired through the front end acquisition unit to realize the monitoring of household appliances, the household data are processed and analyzed through the data processing unit, abnormal intrusion conditions of unrelated persons and the like in a home are judged, the background management and control unit carries out corresponding processing on abnormal results through alarm prompt and automatic management, personal and property safety under abnormal conditions is guaranteed, and the preprocessed personnel state information, household energy information and household energy abnormal conditions are integrated through an integration and evaluation unit, so that the comfort level, the energy consumption condition and the aging level of urban residential areas are evaluated, and the residential safety of the city is guaranteed.

Description

Data processing system of cloud computing data center

Technical Field

The invention relates to the technical field of data processing, in particular to a data processing system of a cloud computing data center.

Background

Cloud computing is one of distributed computing, and refers to a technology that breaks down a huge data computing process program into numerous small programs through a network 'cloud', then processes and analyzes the small programs through a system composed of a plurality of servers to obtain results, and returns the results to a user, so that the processing of tens of thousands of data can be completed in a short time (a few seconds), thereby achieving powerful network services.

With the development of internet technology, cloud computing is gradually popularized in daily life of people, such as mobile communication cloud computing, electronic commerce cloud computing and the like, and electricity consumption, water consumption and gas consumption conditions in daily life of residents are respectively applied to cloud computing for data processing, so that payment is more convenient for people, but only simple operation is performed on data, the utilization rate of the data is low, the effect is limited, residents possibly encounter accidents such as fire disaster and property loss caused by the abnormality of electricity consumption, water consumption and gas consumption in daily life, or sudden accidents of personnel at home cannot be timely processed, and the loss range is enlarged; in addition, energy consumption and abnormal conditions in the home can influence the safety of communities and residents in the whole city, but the energy consumption and abnormal conditions are difficult to evaluate and predict, and targeted guiding management cannot be realized;

in order to overcome the technical defects, a data processing system of a cloud computing data center is provided.

Disclosure of Invention

The invention aims to provide a data processing system of a cloud computing data center, which solves the problem of residential safety.

In order to achieve the above purpose, the present invention adopts the following technical scheme: the data processing system of the cloud computing data center comprises a front end acquisition unit, a data processing unit and a background management and control unit, wherein the front end acquisition unit, the data processing unit and the background management and control unit are connected through signals, and the data processing unit is connected with an integration evaluation unit through signals;

the front end acquisition unit is used for acquiring household data;

the household data comprise household energy information and personnel state information;

the data processing unit is used for acquiring and preprocessing the family data and sending the family data to the integration evaluation unit;

judging whether the household appliances are abnormal in use or not according to the household energy information, wherein the household appliances comprise household appliances, household water pipes and gas cookers;

locking the labels of the abnormal household appliances according to the abnormal conditions of the household appliances; analyzing personnel abnormal conditions through personnel state information and carrying out corresponding processing; when the abnormal condition of the household appliance is analyzed, judging whether a person breaks into the household appliance abnormally or not, and processing the abnormal condition, and judging the state sign of the person and the abnormal cause of energy consumption in the household;

the integration evaluation unit is used for integrating the preprocessed personnel state information and evaluating the livability of the urban residential area; integrating the preprocessed household energy information, and evaluating the energy consumption state of the urban residential area; the pretreated household energy abnormal conditions are integrated, the aging degree of communities is estimated, and timely maintenance is carried out;

the background management and control unit carries out alarm prompt or automatic management on the processing result of the family data;

the alarm prompt comprises the steps of displaying an alarm text and sending out prompt voice, and reporting the property of the community and the home of the owner; the automatic management is to apply for obtaining corresponding management authority from the owner mobile phone end or to adopt forced management for emergency avoidance.

Further, the household energy information comprises a gas parameter, an electricity parameter and a water parameter, and the personnel status information comprises personnel in-out quantity, personnel in-out time and status signs;

the gas parameters comprise gas consumption and gas consumption time, the electricity consumption parameters comprise electricity consumption and electricity consumption time, and the water consumption parameters comprise water consumption and water consumption time.

Further, the specific process for judging the abnormality of the household energy is as follows:

substituting each numerical value in the household energy information into a unified analysis model to obtain a corresponding abnormal judgment value, comparing the abnormal judgment value with a preset value corresponding to the abnormal judgment value, generating an energy abnormal signal when the abnormal judgment value is larger than the preset value, and performing corresponding abnormal processing operation after generating the energy abnormal signal.

Further, the specific process of preprocessing the personnel status information is as follows:

firstly, collecting personnel state information: the status of the personnel is identified through the video acquisition equipment, the status of the personnel comprises normal conditions and abnormal conditions,

wherein the person abnormal condition includes a non-awake state including coma and sleep and a refractory state including inactivity and uncontrolled behavior;

counting the personnel input quantity, judging the number of the residual people in the home, judging whether abnormal intrusion such as idle people exists in the home, and carrying out corresponding treatment:

if someone breaks in abnormally, and the people at home do not take care of or only have the weak people such as old/young/sick,

the owner is reminded by the short message, the intruder is warned by voice broadcasting to the home, and the social area and the police office are reported in real time;

the specific process for carrying out integrated evaluation on the preprocessed personnel state information comprises the following steps:

setting the total number of living people in a community as R, counting the occurrence times of abnormal conditions of people in one community as N1 times, and generating a resident health degree value Yjk;

counting the number of abnormal intruders in a community as N2 persons, and generating a community peace degree value Yaj;

generating a community stability coefficient Ysq comprehensively according to the health degree of residents and the community peace degree;

calculating community stability coefficients of M communities in a city through the cloud to obtain city stability values Ycs of the city, and evaluating the livability of urban residential areas;

by descending order of community stability coefficients Ysq of M communities in one city, the top order is optimal, and the community suitability is high.

Further, the specific process of judging the status of the personnel in the home is as follows:

when the energy abnormal signal is received, firstly judging the number of people in the home,

if no one is at home, automatically managing the abnormal household appliances;

if someone is at home, judging whether the status of the personnel at home is physical signs, namely the status of the personnel such as the old, young children, patients and the like is safe:

when the personnel in the home are in a state of waking and moving, the abnormal situation of the household appliance is directly informed by voice, and the reason for abnormal increase of the electricity consumption, the water consumption or the gas consumption is inquired:

if the user is temporarily used, the user is not treated;

if the closing is forgotten, reminding a person at home to close;

if the automatic management forced closing is not performed, the automatic management forced closing is performed;

when the personnel in the home are in a state of no waking and difficult to act, voice alarm is firstly carried out, and then an automatic management mode is carried out.

Further, the specific process of the home appliance automatic management mode is as follows:

firstly inquiring whether the resident is closed or not, and setting the reply time; then carrying out corresponding treatment according to the reply condition;

if the reply content is not approved to be closed within the set time, the corresponding electric switch, water valve or gas valve is not closed, and the inquiry is periodically made to prevent sudden accidents;

if the reply content is authorized to be closed within the set time, acquiring the management authority, and automatically closing the corresponding electric gate, water valve or gas valve;

if the valve is not recovered within the set time, the corresponding electric switch, water valve or gas valve is forcibly closed.

Further, the specific process of integrating the household energy information is as follows:

accumulating the electricity consumption, the water consumption and the gas consumption of the X1 family in one community within one year to obtain the total energy consumption of the community within one year, so as to predict the total energy consumption of the community within the next year;

the furniture energy information of X2 communities in a city is calculated through the cloud to obtain the total energy consumption of the city, and the average energy consumption of the city is obtained according to the population number of residential areas of the city, so that whether the city belongs to high energy consumption is judged, and the urban residents are led to build an energy-saving environment-friendly concept;

dividing the city into Z areas, accumulating the household energy information in the Z areas, and then ordering the Z areas in a descending order according to the accumulated household energy information, wherein the top of the Z areas belongs to high energy consumption, and the reason of the high energy consumption should be focused on and treated, so that the resource waste of the high energy consumption is avoided.

Further, the specific process of integrating the abnormal household energy is as follows:

the occurrence frequency of family energy abnormality of X1 family in a community in a year is counted up to N3 times, and the aging coefficient of the community is calculated through the family energy abnormality frequency, so that the aging degree of the community is judged;

and predicting the remaining life of the community according to the aging degree of the community, and maintaining a community circuit, a water pipe and a gas pipeline.

In summary, due to the adoption of the technical scheme, the beneficial effects of the invention are as follows:

1. in the data processing system of the cloud computing data center, home data are collected through the front-end collection unit to realize the monitoring of home appliances, the data processing unit is used for processing and analyzing the home data, judging the abnormal condition of the home appliances, analyzing the abnormal reasons and locking the abnormal home appliance labels, the data processing unit can also judge the abnormal intrusion condition of unrelated people and the like in the home, judge the personnel state in the home, select the personnel for processing the abnormal condition and carry out emergency rescue, and the background management and control unit is used for carrying out corresponding processing on the abnormal result through alarm prompt and automatic management to ensure the personal and property safety under the abnormal condition;

2. according to the household appliance monitoring system, the abnormal conditions are analyzed and judged and timely processed through monitoring the electricity consumption, water consumption and gas consumption conditions in the household, so that the safety of household appliances in the household is ensured, the personnel handling the abnormal conditions are selected through analyzing the personnel entering and exiting conditions and the personnel states, the abnormal intrusion condition can be judged, and the personal safety and the household property safety of the old and weak groups in the household are ensured;

3. according to the invention, the pretreated personnel state information, the household energy information and the household energy abnormal condition are integrated through the integrated evaluation unit, so that the dwelling degree, the energy consumption condition and the aging degree of the urban residential area are evaluated, the development of the urban residential area towards the direction of public security management dwelling, environmental protection, energy conservation and infrastructure safety is realized, and the resident residential safety of the city is ensured.

Drawings

For a clearer description of embodiments of the present application or of the solutions in the prior art, the drawings that are needed in the embodiments will be briefly described, it being obvious that the drawings in the following description are only some embodiments described in the present invention, and that other drawings may be obtained according to these drawings by a person skilled in the art;

FIG. 1 is a schematic block diagram of the present invention;

FIG. 2 is a flow chart of the integrated evaluation unit and data processing unit of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

Example 1:

1-2, a data processing system of a cloud computing data center comprises a front end acquisition unit, a data processing unit and a background management and control unit, wherein the front end acquisition unit, the data processing unit and the background management and control unit are connected through signals;

the working steps are as follows:

s1: the front end acquisition unit is used for acquiring household data;

the household data comprises household energy information and personnel information, wherein the household energy information comprises gas parameters, electricity parameters and water parameters, and the personnel status information comprises personnel in-out quantity, in-out time and status signs;

the gas parameters in the household energy information are collected, wherein the gas parameters comprise gas consumption and gas consumption time, the electricity parameters comprise electricity consumption and electricity consumption time, the water parameters comprise water consumption and water consumption time, and the specific collection process is as follows:

the gas consumption of the natural gas is collected through a gas flowmeter, the gas consumption time is collected through a first timer, and the opening or closing of the natural gas is controlled through a gas valve;

the household ammeter is used for collecting electricity consumption, the second timer is used for collecting electricity consumption time of the corresponding household appliance, and the corresponding socket is controlled to be electrified or powered off through the interface switch;

collecting water consumption through a water meter, collecting water consumption time through a third timer, and controlling water to flow on or off through a water valve;

the household articles including household appliances, household water pipes and gas stoves are monitored by collecting household energy information, and whether hidden danger exists in a household or not is analyzed and judged through the state information of the household articles, for example, a machine is burnt out when an electric kettle is continuously powered for use, so that fire is induced, and personal injury is caused; the continuous water discharge of the water pipe port can cause the floor in the household to be damaged, thereby causing property loss; the continuous combustion of the gas stove can cause the burning of food in the pot and even fire, and the gas leakage risk is higher, and poisoning or explosion can be caused, so that the monitoring of household articles is very important;

s2: the data processing unit is used for acquiring and processing the family data;

substituting each numerical value in the household energy information into a unified analysis model to obtain a corresponding abnormal judgment value, comparing the abnormal judgment value with a preset value corresponding to the abnormal judgment value, generating an energy abnormal signal when the abnormal judgment value is larger than the preset value, and performing corresponding abnormal processing operation after generating the energy abnormal signal;

the specific process of the unified analysis model is as follows:

a1: abnormal electricity consumption: firstly setting the unit time as T01, setting the electricity consumption in the unit time as Wi, and drawing and displaying a dynamic waveform chart of the T01-Wi according to the collected electricity consumption and the electricity consumption time;

setting Wf as a high power consumption value, and when Wi > Wf, carrying out important monitoring on the power consumption Wi:

setting a threshold value for limiting the duration time of high power consumption as T11, namely, the state of high power consumption cannot exceed a time value of T11, if the state exceeds the time value of T11, the state is high power consumption of the household appliance and the duration time of power consumption is long, and judging that the power consumption is abnormal;

when the electricity consumption is judged to be abnormal, the current is collected through an interface ammeter of the household appliance socket to judge whether the corresponding household appliance is electrified:

the individual household appliances are first given the reference ni= { N1, N2 … … Nx },

setting the power-on state as D1, the power-off state as D2,

the on-off state of the household appliance respectively generates corresponding signals and sends the signals to the background management unit for display;

for example, the continuous heating of the electric kettle can cause fire disaster, the use state of the electric kettle is monitored in real time, and the dynamic waveform chart generated by the electricity consumption in unit time is displayed in the mobile phone end of the owner and the control room of the property, so that the owner can conveniently pick up and watch the electric kettle at any time and monitor and manage the property;

when the power consumption is abnormal, the abnormal electric appliance can be directly positioned by the label, then the electric appliance is automatically managed by remote signal control, for example, the power supply is forcibly turned off, the on-off state of the electric appliance can be directly observed, after receiving the signal by the background management unit, the text or the indicator lamp is edited for display,

for example, text editing: power-on display "D1", power-off display "D2",

or when the power is on, the indicator lamp is on, and after the power is off, the indicator lamp is off;

a2: abnormal water consumption: firstly, setting a unit time T02, wherein the water consumption in the unit time is Vi, and drawing the water consumption in the unit time into a dynamic waveform diagram of T02-Vi according to the collected water consumption and water consumption time;

setting Vf as a high water consumption value, and when Vi > Vf, performing key monitoring on the water consumption Vi:

setting a threshold value for limiting the duration time of high water consumption as T12, namely that the state of high water consumption cannot exceed a time value of T12, and judging that the water consumption is abnormal if the state of high water consumption exceeds the time value of T12, namely that the water consumption of the water pipe is high and the water consumption time is long;

when the water consumption is judged to be abnormal, the pressure sensor is arranged at the pipe orifice of the household faucet to collect the impact force Fs of the water flow, the marks Li= { L1, L2 … … Lx } are firstly carried out on each faucet,

when the collected water flow impact force fs=0, the water valve of the water tap is closed;

when the collected water flow impact force Fs is more than 0, a water valve of the water tap is opened;

and when the collected pressure value is larger, the water flow speed is faster, and the water flow is more, so that whether the corresponding water pipe is running water or not is judged:

respectively generating corresponding signals for the water on-off state of the household water pipe, and sending the signals to a background management unit for display;

for example, property loss such as floor foam may be caused by forgetting to close the water pipe, the water pipe mouth with large water output and long water discharge time is monitored by monitoring the water consumption in unit time, when the water consumption is abnormal, a certain abnormal faucet can be judged by the pressure sensor, and when all the faucets are judged to be in a closed state, the water consumption is excessive, and the cause of the excessive water consumption is possibly water leakage caused by pipeline breakage;

therefore, the abnormal water consumption judgment is beneficial to monitoring whether the household water pipe orifice is forgotten to be closed or not, and also beneficial to judging whether the household water pipe has the hidden trouble of rupture or not, so that the maintenance treatment is convenient to carry out in time;

a3: abnormal consumption of qi: firstly, setting a unit time T03, wherein the air consumption in the unit time is Ui, and drawing the air consumption in the unit time into a dynamic waveform diagram of the T03-Ui according to the acquired air consumption and the air consumption time;

setting Uf as a high-consumption gas value, and when Ui is larger than Uf, carrying out key monitoring on the gas consumption Ui:

setting a threshold value for limiting the duration time of high consumption gas as T13, namely that the state of high consumption gas cannot exceed a time value of T13, and judging that the gas consumption is abnormal if the state of high consumption gas exceeds the time value of T13, namely that the gas stove continuously burns or a gas pipeline leaks;

when the gas consumption is judged to be abnormal, the temperature of the gas cooking range is detected through the temperature sensor, whether the natural gas is combusted is judged, and whether the gas is leaked is judged through the smoke alarm:

setting the temperature of a gas cooking range as Wr, setting the temperature threshold value of the gas cooking range when in low-fire combustion as W1, and setting the temperature threshold value of the gas cooking range when in high-fire combustion as W2;

when Wr is more than W1, judging that the gas cooking range is in a low-fire combustion state;

when Wr is more than W2, judging that the gas cooking range is in a high-fire combustion state;

the combustion state of the gas cooking bench generates corresponding signals respectively and sends the signals to the background management unit for display;

when the gas burner is not combusted and the gas consumption is continuously increased, judging whether the gas pipeline leaks or not through the smoke alarm:

if the smoke alarm alarms and the gas burner is not combusted and the gas consumption is continuously increased, the leakage of the gas pipeline can be judged;

if the smoke alarm alarms and the gas burner is not combusted and the gas consumption is not increased, judging that other reasons cause smoke, wherein the other reasons comprise smoking conditions;

when the smoke alarm detects gas leakage, an alarm signal is generated and sent to the background management unit;

for example, when the gas consumption is monitored to find that the gas consumption is excessive, the gas stove is firstly judged whether to be in a burning state, if the gas consumption is continuously increased and the gas stove is not burning, the gas valve is required to be immediately closed at the moment to inform the owner of the possibility of gas leakage, and if the gas consumption is continuously increased and the gas stove is in a burning state, the burning power is required to be judged, and after the burning power state is displayed, the gas stove is respectively processed according to the fire power condition;

when the gas stove is in the low-fire combustion state, the gas consumption abnormal condition can be notified to a homeowner firstly, and then the abnormality can be processed according to the actual gas consumption condition;

when the gas stove is in the high-fire combustion state, immediately closing the gas valve, informing the owner of abnormal gas consumption, and enabling the owner to open or perform other treatment according to the actual situation;

s3: when the abnormal condition of the household appliance is analyzed, judging whether a person breaks into the household appliance abnormally and processes the abnormal condition, and judging whether the personnel state of the household appliance, namely the personnel state of the old, young children, patients and the like, is safe;

the specific process for collecting personnel information is as follows:

collecting personnel state information: the status of the personnel is identified through the video acquisition equipment, the status of the personnel comprises normal conditions and abnormal conditions,

wherein the person abnormal condition includes a non-awake state including coma and sleep and a refractory state including inactivity and uncontrolled behavior;

count the personnel intake: respectively counting the entering quantity and the exiting quantity of the personnel through an infrared counter, setting counting time, respectively accumulating the entering quantity and the exiting quantity of the personnel in the counting time, and comparing to judge the residual number of people in the home;

the method comprises the steps of calculating the number of people in the home, sending the number of people in the home to a mobile phone end of an owner in real time, judging whether abnormal intrusion of idle people and the like exists in the home, and carrying out corresponding treatment:

if someone breaks in abnormally, and the people at home do not take care of or only have the weak people such as old/young/sick,

the owner is reminded by the short message, the intruder is warned by voice broadcasting to the home, and the community and police office are reported in real time;

the management of household safety can be enhanced through the judgment of abnormal intrusion, so that the personal safety and property safety of a family vulnerable group are ensured, and the loss of properties in the family or the injury to the vulnerable group are avoided;

the specific process for judging the personnel state is as follows:

when the abnormal condition of electricity/water/gas occurs, the number of people in the home is firstly judged,

if no one is at home, automatically managing the abnormal household appliances;

if someone is at home, judging the status of the personnel at home:

when the personnel in the home are in a state of waking and moving, the abnormal situation of the household appliance is directly informed by voice, and the reason for abnormal increase of the electricity consumption, the water consumption or the gas consumption is inquired:

if the user is temporarily used, the user is not treated;

if the closing is forgotten, reminding a person at home to close;

if the automatic management forced closing is not performed, the automatic management forced closing is performed;

when the personnel in the home are in a state of no waking and difficult to act, voice alarm is firstly carried out, and then an automatic management mode is carried out;

when abnormal conditions of the home occur in the home, the home owner needs to be informed to immediately perform closing operation, and if no one is determined in the home, automatic management is performed through a management end of the property, for example, the corresponding home is powered off so as to be forcibly closed;

if the person in the home is judged, the state of the person is firstly identified and judged, if the person is in a normal state, an owner is informed to contact the person, and the corresponding home is closed;

if the person is in an abnormal state, automatically managing the household appliance, wherein the abnormal state comprises the following steps: the elderly can not automatically control Alzheimer's disease, the child has poor performance and development, and the patient is injured and can not move,

the household articles cannot be actively closed by personnel abnormality, so that the personnel abnormality judgment can be carried out by only sending some behavior instructions to the personnel and observing whether the personnel can normally execute the instructions or not;

the voice alarm can directly remind the personnel in the home of abnormal conditions, the abnormal conditions can be fed back immediately through voice communication, for example, the old accidentally falls down on the way of closing the water valve, the old is difficult to stand and cannot contact the family, the emergency can be found in time through voice communication between the family and the property end, the special person is arranged to immediately enter the home to help or rescue, and the conditions are fed back to the owner end immediately;

for the situations of abnormal home and abnormal personnel in home, an automatic management mode is needed to be implemented, and the home appliances are forcibly closed;

s4: the background management and control unit carries out alarm prompt or automatic management on the processing result of the family data;

the alarm prompt comprises the steps of displaying an alarm text and sending out prompt voice, and reporting the property of the community and the home of the owner;

the automatic management is to apply for obtaining corresponding management authority from the owner mobile phone end or to adopt forced management for emergency avoidance;

the specific process of the household electrical appliance automatic management mode is as follows:

firstly inquiring whether the resident is closed or not, and setting the reply time; then carrying out corresponding treatment according to the reply condition;

if the reply content is not approved to be closed within the set time, the corresponding electric switch, water valve or gas valve is not closed, and the inquiry is periodically made to prevent sudden accidents;

if the reply content is authorized to be closed within the set time, acquiring the management authority, and automatically closing the corresponding electric gate, water valve or gas valve;

if the valve is not recovered within the set time, the corresponding electric brake, water valve or gas valve is forcedly closed;

the home privacy is guaranteed, the home management system has certain flexibility, and corresponding management operation can be performed according to actual conditions by firstly applying for the home owner to acquire certain authority for management, but in order to avoid the possibility of danger, automatic management is adopted to avoid dangerous situations under the condition that the home owner does not respond, so that the home security is guaranteed;

by monitoring the abnormal conditions of families, the monitoring of the abnormal conditions of buildings and communities is realized, the safety of communities is improved, the safety of communities is avoided, the safety is further expanded to cities, and the safety of urban areas is ensured, wherein the safety comprises the property loss and personal injury caused by water, electricity and gas fault disasters and illegal intrusion.

According to the data processing system of the cloud computing data center, home data are collected through the front-end collection unit, home data are monitored, the data processing unit is used for processing and analyzing the home data, abnormal conditions of the home appliances are judged, reasons of the abnormal conditions are analyzed, abnormal home appliance labels are locked, abnormal intrusion conditions of persons and the like at home can be judged by the data processing unit, the states of persons and the like at home are judged, people for processing the abnormal conditions are selected and emergency rescue is carried out, and the background management and control unit is used for correspondingly processing abnormal results through alarm prompt and automatic management, so that personal and property safety under the abnormal conditions is guaranteed;

the household appliance safety monitoring system and the household appliance safety monitoring method based on the intelligent monitoring system can analyze and judge abnormal conditions and timely process the abnormal conditions through monitoring the electricity consumption, the water consumption and the gas consumption in the household, select the personnel handling the abnormal conditions through analyzing the personnel access conditions and the personnel states, judge the abnormal intrusion conditions and guarantee the personal safety and the household property safety of the old and weak groups in the household.

Example 2:

as shown in fig. 1-2, the data processing unit is in signal connection with an integrated evaluation unit;

u1: the integration evaluation unit is used for integrating the preprocessed personnel state information and evaluating the livability of the urban residential area;

the specific process for carrying out integrated evaluation on the preprocessed personnel state information comprises the following steps:

setting the total number of living people in a community as R, counting the occurrence times of abnormal conditions of people in one community as N1 times, and generating a resident health degree value Yjk:

counting the number of people with abnormal intrusion in a community as N2 people, and generating a community peace degree value Yaj:

the community stability coefficient Ysq is comprehensively generated through the health degree of residents and the community peace degree:

Ysq＝f1*Yjk+f2*Yaj

wherein f1 and f2 are weight factor coefficients of a resident health degree value and a community safety degree value respectively, and f1 and f2 are both larger than 0,

calculating community stability coefficients of M communities in a city through the cloud to obtain city stability values Ycs of the city, and evaluating the livability of urban residential areas:

the community stability coefficients Ysq of M communities in one city are ordered in a descending order, and the top order is optimal, so that the community is high in livability;

u2: the integration evaluation unit integrates the preprocessed household energy information and evaluates the energy consumption state of the urban residential area;

the specific process for integrating the household energy information comprises the following steps:

accumulating the electricity consumption a, the water consumption b and the gas consumption c of the X1 family in one community within one year to obtain the total energy consumption Wn0 of the community within one year:

Wn0＝k1*a+k2*b+k3*c

wherein k1, k2 and k3 are weight factor coefficients of electricity consumption, water consumption and gas consumption respectively, and k1, k2 and k3 are all larger than 0;

predicting the total energy consumption Wn1 of the next year of the community according to the total energy consumption Wn0 of the current year of the community;

the furniture energy information of X2 communities in a city is calculated through the cloud to obtain the total energy consumption Wz of the city, and the average energy consumption Wr of the city is obtained according to the population number Nz of residential areas of the city:

setting the critical value of the energy consumption per person reaching high energy consumption as Wf, judging whether the city belongs to high energy consumption, and when Wr is more than or equal to Wf, indicating that the city belongs to the high energy consumption city, and guiding urban residents to establish an energy-saving environment-friendly concept;

dividing the city into Z areas, accumulating household energy information in the Z areas, and then ordering the Z areas in a descending order according to the accumulated household energy information, wherein the top of the Z areas belongs to high energy consumption, and the reason of the high energy consumption should be focused to be checked and processed, so that the resource waste of the high energy consumption is avoided;

for example, when the difference in gas consumption between two areas of a city is too large, one of the areas is too low in energy consumption, and the other area is too high in energy consumption, the reason for this may be as follows:

the area with high energy consumption is in winter, the temperature is cold, the wall body of the residential building has poor heat retention, the residential building needs to be heated by electric floor heating or air conditioning, natural gas is needed to heat daily water, the total energy consumption is greatly increased compared with that of the residential building, the wall body of the residential building has good heat retention in the area with low energy consumption, and the daily life can be ensured by the air conditioning;

according to the reason of high energy consumption, the heat preservation layer can be added to the wall building, so that the heat preservation requirement of residents in winter can be ensured, and energy sources can be saved;

u3: the integration evaluation unit integrates the pretreated household energy abnormal conditions, evaluates the aging degree of communities and maintains the communities in time;

the specific process for integrating the abnormal energy sources of the families comprises the following steps:

the occurrence frequency of family energy abnormality of X1 family in a community in a year is counted up to N3 times, and the aging coefficient Ysl of the community is calculated through the family energy abnormality frequency, so that the aging degree of the community is judged;

the range of the preset aging coefficient Ysl is J1 and J2, the residual life of the community is predicted according to the aging degree of the community, and a community circuit, a water pipe and a gas pipeline are maintained, so that the residence safety is ensured;

when Ysl is more than 1 and less than or equal to J1, determining the aging degree as primary without treatment;

when J1 is more than Ysl and less than or equal to J2, judging the aging degree to be medium, and repairing and maintaining circuits, water pipes and gas pipelines in the community are needed;

when the value of Ysl is more than J2, judging that the aging degree is serious, and replacing a circuit, a water pipe and a gas pipeline in the community;

according to the invention, the pretreated personnel state information, the household energy information and the household energy abnormal condition are integrated through the integrated evaluation unit, so that the dwelling degree, the energy consumption condition and the aging degree of the urban residential area are evaluated, the development of the urban residential area towards the direction of public security management dwelling, environmental protection, energy conservation and infrastructure safety is realized, and the resident residential safety of the city is ensured.

The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.

Claims (8)

1. A data processing system of a cloud computing data center, characterized in that: the system comprises a front end acquisition unit, a data processing unit and a background management and control unit, wherein the front end acquisition unit, the data processing unit and the background management and control unit are connected through signals, and the data processing unit is connected with an integration evaluation unit through signals;

the front end acquisition unit is used for acquiring household data;

the household data comprise household energy information and personnel state information;

the data processing unit is used for acquiring and preprocessing the family data and sending the family data to the integration evaluation unit;

judging whether the household appliances are abnormal in use or not according to the household energy information, wherein the household appliances comprise household appliances, household water pipes and gas cookers;

locking the labels of the abnormal household appliances according to the abnormal conditions of the household appliances; analyzing personnel abnormal conditions through personnel state information and carrying out corresponding processing; when the abnormal condition of the household appliance is analyzed, judging whether a person breaks into the household appliance abnormally or not, and processing the abnormal condition, and judging the state sign of the person and the abnormal cause of energy consumption in the household;

the integration evaluation unit is used for integrating the preprocessed personnel state information and evaluating the livability of the urban residential area; integrating the preprocessed household energy information, and evaluating the energy consumption state of the urban residential area; the pretreated household energy abnormal conditions are integrated, the aging degree of communities is estimated, and timely maintenance is carried out;

the background management and control unit carries out alarm prompt or automatic management on the processing result of the family data;

the alarm prompt comprises the steps of displaying an alarm text and sending out prompt voice, and reporting the property of the community and the home of the owner; the automatic management is to apply for obtaining corresponding management authority from the owner mobile phone end or to adopt forced management for emergency avoidance.

2. A data processing system of a cloud computing data center as recited in claim 1, wherein: the household energy information comprises gas parameters, electricity parameters and water parameters, and the personnel status information comprises personnel in-out quantity, time and status signs;

the gas parameters comprise gas consumption and gas consumption time, the electricity consumption parameters comprise electricity consumption and electricity consumption time, and the water consumption parameters comprise water consumption and water consumption time.

3. A data processing system of a cloud computing data center as recited in claim 2, wherein: the specific process for judging the abnormality of the household energy is as follows:

substituting each numerical value in the household energy information into a unified analysis model to obtain a corresponding abnormal judgment value, comparing the abnormal judgment value with a preset value corresponding to the abnormal judgment value, generating an energy abnormal signal when the abnormal judgment value is larger than the preset value, and performing corresponding abnormal processing operation after generating the energy abnormal signal.

4. A data processing system of a cloud computing data center as recited in claim 2, wherein: the specific process of preprocessing the personnel status information is as follows:

firstly, collecting personnel state information: the status of the personnel is identified through the video acquisition equipment, the status of the personnel comprises normal conditions and abnormal conditions,

wherein the person abnormal condition includes a non-awake state including coma and sleep and a refractory state including inactivity and uncontrolled behavior;

counting the personnel input quantity, judging the number of the residual people in the home, judging whether abnormal intrusion such as idle people exists in the home, and carrying out corresponding treatment:

if someone breaks in abnormally, and the people at home do not take care of or only have the weak people such as old/young/sick,

the owner is reminded by the short message, the intruder is warned by voice broadcasting to the home, and the social area and the police office are reported in real time;

the specific process for carrying out integrated evaluation on the preprocessed personnel state information comprises the following steps:

setting the total number of living people in a community as R, counting the occurrence times of abnormal conditions of people in one community as N1 times, and generating a resident health degree value Yjk;

counting the number of abnormal intruders in a community as N2 persons, and generating a community peace degree value Yaj;

generating a community stability coefficient Ysq comprehensively according to the health degree of residents and the community peace degree;

calculating community stability coefficients of M communities in a city through the cloud to obtain city stability values Ycs of the city, and evaluating the livability of urban residential areas;

by descending order of community stability coefficients Ysq of M communities in one city, the top order is optimal, and the community suitability is high.

5. A data processing system of a cloud computing data center as recited in claim 3, wherein: the specific process for judging the personnel state in the home is as follows:

when the energy abnormal signal is received, firstly judging the number of people in the home,

if no one is at home, automatically managing the abnormal household appliances;

if someone is at home, judging whether the status of the personnel at home is physical signs, namely the status of the personnel such as the old, young children, patients and the like is safe:

when the personnel in the home are in a state of waking and moving, the abnormal situation of the household appliance is directly informed by voice, and the reason for abnormal increase of the electricity consumption, the water consumption or the gas consumption is inquired:

if the user is temporarily used, the user is not treated;

if the closing is forgotten, reminding a person at home to close;

if the automatic management forced closing is not performed, the automatic management forced closing is performed;

when the personnel in the home are in a state of no waking and difficult to act, voice alarm is firstly carried out, and then an automatic management mode is carried out.

6. A data processing system of a cloud computing data center as recited in claim 3, wherein: the specific process of the household electrical appliance automatic management mode is as follows:

firstly inquiring whether the resident is closed or not, and setting the reply time; then carrying out corresponding treatment according to the reply condition;

if the reply content is not approved to be closed within the set time, the corresponding electric switch, water valve or gas valve is not closed, and the inquiry is periodically made to prevent sudden accidents;

if the reply content is authorized to be closed within the set time, acquiring the management authority, and automatically closing the corresponding electric gate, water valve or gas valve;

if the valve is not recovered within the set time, the corresponding electric switch, water valve or gas valve is forcibly closed.

7. A data processing system of a cloud computing data center as recited in claim 3, wherein: the specific process for integrating the household energy information comprises the following steps:

accumulating the electricity consumption, the water consumption and the gas consumption of the X1 family in one community within one year to obtain the total energy consumption of the community within one year, so as to predict the total energy consumption of the community within the next year;

the furniture energy information of X2 communities in a city is calculated through the cloud to obtain the total energy consumption of the city, and the average energy consumption of the city is obtained according to the population number of residential areas of the city, so that whether the city belongs to high energy consumption is judged, and the urban residents are led to build an energy-saving environment-friendly concept;

dividing the city into Z areas, accumulating the household energy information in the Z areas, and then ordering the Z areas in a descending order according to the accumulated household energy information, wherein the top of the Z areas belongs to high energy consumption, and the reason of the high energy consumption should be focused on and treated, so that the resource waste of the high energy consumption is avoided.

8. A data processing system of a cloud computing data center as recited in claim 3, wherein: the specific process for integrating the abnormal energy sources of the families comprises the following steps:

the occurrence frequency of family energy abnormality of X1 family in a community in a year is counted up to N3 times, and the aging coefficient of the community is calculated through the family energy abnormality frequency, so that the aging degree of the community is judged;

and predicting the remaining life of the community according to the aging degree of the community, and maintaining a community circuit, a water pipe and a gas pipeline.