CN112686649A

CN112686649A - Construction equipment management system based on artificial intelligence

Info

Publication number: CN112686649A
Application number: CN202110146474.7A
Authority: CN
Inventors: 何荣临; 邵宏波
Original assignee: Zhejiang Goldcard Industrial Co ltd
Current assignee: Zhejiang Goldcard Industrial Co ltd
Priority date: 2021-02-03
Filing date: 2021-02-03
Publication date: 2021-04-20
Anticipated expiration: 2041-02-03
Also published as: CN112686649B

Abstract

The invention discloses a building equipment management system based on artificial intelligence, which comprises a data primary inspection module, a safety early warning module and a fault maintenance module; the data initial inspection module is used for receiving basic information of the building equipment and performing initial inspection on the basic information of the building equipment; the server receives and judges the operation value of the construction equipment; the safety early warning module carries out safety early warning analysis on the building equipment after receiving a safety early warning instruction sent by the server; the fault maintenance module is combined with the maintenance distribution unit to carry out fault maintenance on the building equipment, and safety inspection is carried out on the external environment where the building equipment is located and the building equipment when the building equipment is started, so that the use normalization and the safety of the building equipment are ensured; when the building equipment breaks down, maintenance resources are reasonably distributed, the best maintenance resources are scientifically and intelligently selected, and the building equipment is timely and effectively maintained.

Description

Construction equipment management system based on artificial intelligence

Technical Field

The invention belongs to the technical field of buildings, relates to a building equipment management technology, and particularly relates to a building equipment management system based on artificial intelligence.

Background

The building equipment is an important component of a building and comprises facility equipment such as water supply, drainage, heating, ventilation, air conditioning, electricity, elevators, communication, building intellectualization and the like. People's daily life and work in a building always cannot be done without water, air and electricity, and the equipment providing these necessary things is called building equipment, including water supply and drainage, heating, ventilation and air conditioning, and power and electricity systems.

In the prior art, when the building equipment is started, the external environment where the building equipment is located and the building equipment are not subjected to safety inspection, so that safety accidents and building equipment faults are easily caused, the use standardization of the building equipment is not guaranteed, and the safety of building construction is not guaranteed; when building equipment breaks down, an intelligent reasonable process method is not provided for selecting the optimal maintenance resources, and meanwhile, the maintenance resources are not reasonably distributed, so that the building equipment cannot be timely and effectively overhauled after the building equipment breaks down.

Disclosure of Invention

Aiming at the defects in the prior art, the invention aims to provide a building equipment management system based on artificial intelligence.

The technical problem to be solved by the invention is as follows:

(1) when the building equipment is started, the external environment where the building equipment is located and the building equipment are not subjected to safety inspection, so that safety accidents and building equipment faults are easily caused, the use standardization of the building equipment is not guaranteed, and the safety of building construction is not guaranteed;

(2) when the building equipment breaks down, the optimal maintenance resources are not selected by an intelligent reasonable process method, and meanwhile, the maintenance resources are not reasonably distributed, so that the building equipment cannot be timely and effectively overhauled after the building equipment breaks down.

The purpose of the invention can be realized by the following technical scheme:

a building equipment management system based on artificial intelligence comprises a data acquisition module, a data primary inspection module, a safety early warning module, a storage module, a data entry module, an on-register registration module, a display module, a fault maintenance module, a timing unit and a server;

the data entry module is used for entering basic information of the building equipment and sending the basic information to the on-register registration module, wherein the basic information comprises the equipment model, the equipment weight, the equipment specification and the production date of the building equipment; the system comprises an on-register registration module, a data primary inspection module, a storage module and a data primary inspection module, wherein the on-register registration module is used for receiving basic information sent by the data entry module, the on-register registration module is used for carrying out on-register registration on the basic information of the building equipment, the basic information of the building equipment which is successfully registered in the on-register registration is sent to the data primary inspection module, the data primary inspection module is used for receiving the basic information of the building equipment and carrying out primary inspection on the basic information of the building equipment, and the basic information of the building equipment which is qualified in;

the data preliminary examination module is used for judging that the architectural equipment is in the off-state when detecting the temperature value of architectural equipment and being less than preset temperature threshold value, the data preliminary examination module is used for judging that the architectural equipment is in operating condition when detecting the temperature value of architectural equipment and surpassing preset temperature threshold value, the data preliminary examination module be used for when the architectural equipment is in operating condition to timing unit transmission begins timing signal, timing unit is automatic when receiving the timing signal of data preliminary examination module transmission and begins the timing, and the preliminary examination step is specifically as follows:

the method comprises the following steps: acquiring temperature information before the building equipment starts to work, marking the temperature information as an initial temperature value W1, acquiring corresponding time information when the building equipment is at the initial temperature value, and marking the corresponding time information as T1;

step two: acquiring time information of reaching a preset temperature value WY in the working process of the building equipment, and marking the corresponding time information as T2;

step three: obtaining a heating rate J1 of the building equipment by using a formula J1= (WY-W1)/(T2-T1);

step four: acquiring corresponding time information when the temperature information reaches an initial temperature value after the construction equipment works, and marking the corresponding time information as T3;

step five: obtaining a cooling rate J2 of the building equipment by using a formula J2= (WY-W1)/(T3-T2);

step six: obtaining the working time TG of the building equipment according to a formula T = T3-T1, dividing the working time into a plurality of time points TGi, obtaining the temperature information corresponding to the building equipment when the time points TGi are obtained, and marking the corresponding temperature information as W_TGiI =1, 2, … …, n; obtaining the average temperature Wp of the construction equipment in the working time by using a summation and averaging formula;

step seven: using formulas

Calculating the operation value of the building equipment, wherein a1, a2, a3 and a4 are all preset fixed proportional coefficient values;

step eight: the data initial inspection module sends the operation value of the building equipment to a server;

the server receives and judges the operation value of the building equipment, generates a safety instruction when the operation value is greater than or equal to a preset value X1, generates a safety early warning instruction when the operation value is less than a preset value X1, and sends the safety early warning instruction to the safety early warning module; when the operation value is smaller than a preset value X2, generating a fault maintenance instruction; the server sends a safety instruction, a safety early warning instruction and a fault maintenance instruction to a display module, and the display module is used for receiving and displaying the safety instruction, the safety early warning instruction and the fault maintenance instruction; wherein X2 is less than X1.

Furthermore, the data acquisition module specifically comprises a positioning unit, a temperature acquisition unit, a wind power acquisition unit, a visibility detection unit, a humidity acquisition unit and a weather acquisition unit, wherein the positioning unit is used for positioning the geographical position of the building equipment in real time, the temperature acquisition unit is used for acquiring the temperature value of the building equipment in real time, the wind power acquisition unit is used for acquiring the wind power value of the area where the building equipment is located in real time, the visibility detection unit is used for acquiring the visibility of the area where the building equipment is located in real time, the humidity acquisition unit is used for acquiring the soil humidity value of the area where the building equipment is located in real time, and the weather acquisition unit is used for acquiring the weather forecast data of the area where the building equipment is located;

the positioning unit is used for sending the geographical position of the building equipment to the data preliminary examination module, the temperature acquisition unit is used for sending the temperature value of the building equipment to the data preliminary examination module, the wind power acquisition unit is used for sending the area of the building equipment to the data preliminary examination module, the visibility detection unit is used for sending the visibility of the area of the building equipment to the data preliminary examination module, the humidity acquisition unit is used for sending the soil humidity value of the area of the building equipment to the data preliminary examination module, and the weather acquisition unit is used for sending the weather forecast data of the area of the building equipment to the data preliminary examination module.

Further, the safety early warning module performs safety early warning analysis on the building equipment after receiving a safety early warning instruction sent by the server, and the analysis process specifically comprises the following steps:

s1: the safety early warning module immediately carries out safety early warning analysis on the construction equipment when receiving the safety early warning instruction, obtains a temperature value WD, a wind power value FL, visibility NJD, a soil humidity value SD and weather forecast data of an area where the construction equipment is located, and calculates and obtains the soil bearing capacity TC of the area where the construction equipment is located by combining the soil humidity value; the weather forecast data specifically comprises a wind power value, a rainfall, a visibility value and a temperature value of an area where the construction equipment is located;

s2: acquiring weather forecast data of an area where the building equipment is located, processing the weather forecast data, obtaining an environmental impact value of the weather forecast data on the area where the building equipment is located after processing, and sending the environmental impact value to a safety early warning module;

s3: acquiring the building equipment in the area where the building equipment is located, acquiring the weight value of the corresponding building equipment, acquiring the total weight value ZZ of the building equipment in the area where the building equipment is located by using a summation formula, entering the next step if ZZ is larger than or equal to TC, and otherwise generating a safety early warning signal;

s4: and calculating to obtain a safety early warning value of the construction equipment by using a formula, wherein the formula is as follows:

wherein c1, c2 and c3 are all fixed values of preset proportionality coefficients;

s5: the safety early warning module sends a safety early warning value of the building equipment to the server;

s6: the server receives a safety early warning value of the building equipment, and generates a safety early warning signal when the safety early warning value is smaller than a set threshold value, and generates an unsafe early warning signal when the safety early warning value is larger than or equal to the set threshold value;

the server is also used for sending the safety early warning signals obtained by the safety early warning module to the display module, and the display module receives and displays the safety early warning signals obtained by the safety early warning module.

Further, the processing steps in S2 are specifically as follows:

s21: acquiring rainfall values Qd of corresponding time in weather forecast data, wherein d =1, 2, … …, m; wherein, d is the number of days of expression;

s22: matching the service time of the construction equipment with the rainfall value in the weather forecast data to obtain the rainfall value corresponding to the area where the construction equipment is located during the service period, and summing to obtain a total rainfall value JY;

s23: matching the service time of the building equipment with the temperature value in the weather forecast data to obtain a temperature value corresponding to the area where the building equipment is located during the service period, and adding the temperature values of the area where the building equipment is located during the service period to obtain an average temperature WP;

s24: using formulas

Acquiring an environmental influence value of weather forecast data on an area where the building equipment is located; in the formula, b1, b2, b3 and b4 are all preset fixed proportional coefficients; mu is an error compensation constant and takes the value of 5.7535562;

s25: and sending the environmental influence value of the weather forecast data on the area where the building equipment is located to the safety early warning module.

Further, the fault maintenance module is configured to receive a fault maintenance instruction sent by the server, the fault maintenance module includes a maintenance allocation unit, the fault maintenance module performs fault maintenance on the building device in combination with the maintenance allocation unit, and the fault maintenance process specifically includes:

step SS 1: acquiring fault maintainers in an idle state, and classifying all the fault maintainers in the idle state into to-be-selected persons;

step SS 2: the method comprises the steps that a fault maintenance module sends a fault maintenance request instruction to a mobile terminal of a person to be selected respectively, meanwhile, a timing unit records the sending time of the fault maintenance request instruction as Tf, the person to be selected receives the fault maintenance request instruction and sends confirmation information to the fault maintenance module, meanwhile, the timing unit records the receiving time of the confirmation information as Tj, the time difference between the time Tf and the time Tj is calculated, the time difference marks the waiting reply duration TH of the person to be selected, the waiting reply duration TH is judged, when the waiting reply duration TH is smaller than a set time threshold, the person to be selected is classified as an optimal person, the optimal person is marked as u, u =1, 2, … …, v, and the waiting reply duration of the optimal person is marked as TH1 u;

step SS 3: the fault maintenance module sends a positioning request instruction to a mobile terminal of a preferred person through a positioning unit, a timing unit starts timing at the same time, the time for starting timing is recorded as Tk, a person to be selected receives the positioning request instruction and sends confirmation information to the fault maintenance module, and the timing unit stops timing at the same time and records the time for stopping timing as Tt; calculating the time difference between the time Tk and the time Tt, and marking the time difference as the waiting reply time length of the preferred personnel as TH2 u;

step SS 4: adding the waiting reply time length TH1u and the waiting reply time length TH2u, and averaging to obtain the waiting reply average time length THPu of the preferred personnel; calculating a distance difference JLu according to the current position of the preferred person and the position coordinates of the fault building equipment;

step SS 5: acquiring the total maintenance amount and the successful maintenance amount of the building equipment of the preferred personnel, and comparing the successful maintenance amount with the total maintenance amount to obtain the success maintenance rate WCu of the preferred personnel; acquiring WDu the maintenance amount of the preferable personnel building equipment; acquiring the maintenance time length of the preferred personnel building equipment, and calculating the average maintenance time length WPTu of the preferred personnel building equipment by utilizing a summation and averaging formula; obtaining the maintenance quality guarantee time length of the preferred personnel building equipment, and calculating the average maintenance quality guarantee time length WPTBu of the preferred personnel building equipment by utilizing a summation and averaging formula; acquiring the maintenance rate WHu, the maintenance price WJu and the time of entry TRZu of the building equipment of the preferred personnel;

the time of the preferred personnel is the time difference between the current time of the system and the time of logging in the system for the first time;

step SS 6: the recommended value TJu of the preferred personnel building equipment is calculated by using a formula, wherein the specific formula is as follows:

in the formula, d1, d2, d3 and d4 are all preset fixed proportional coefficient values;

step SS 7: acquiring an optimal person with the largest maintenance value, selecting the optimal person as a maintenance person of the building equipment, sending a maintenance selection instruction to a mobile terminal of the maintenance person by a fault maintenance module, and increasing the total maintenance amount of the maintenance person once;

step SS 8: the method comprises the steps that when a maintenance worker arrives at the position of a fault building device, current positioning is sent to a fault maintenance module through a mobile terminal, the fault maintenance module carries out position matching, after the position matching is successful, a maintenance starting instruction is sent to the mobile terminal of the maintenance worker, meanwhile, a timing module starts timing, and time information for starting timing is recorded;

step SS 9: and the maintenance personnel carries out maintenance work on the fault building equipment after receiving the maintenance starting instruction, sends a maintenance finishing instruction to the fault maintenance module after the maintenance is finished, and the fault maintenance module stops timing by the timing unit after receiving the maintenance finishing instruction, records the time information of the timing stopping and obtains the maintenance duration of the maintenance personnel by utilizing time difference calculation.

Furthermore, the timing unit is also used for sending timing information of the maintenance completion instruction to the storage module for storage, when the building equipment after maintenance completion of the maintenance personnel fails again, the timing unit records the time when the building equipment fails again, and the maintenance quality guarantee duration of the building equipment of the maintenance personnel is obtained by calculating the time difference;

the maintenance personnel also send the fault reason and the maintenance experience of the building equipment to the storage module for storage through the data entry module; the server is also used for sending a fault maintenance instruction and fault information of the building equipment to the storage module, and the storage module is used for recording and storing the fault information of the building equipment and then generating a fault record table;

the repair experience includes fault factors, solutions, and repair summaries for the construction equipment.

Compared with the prior art, the invention has the beneficial effects that:

1. the invention detects the temperature value of the building equipment through the data initial detection module, compares the temperature value of the building equipment with the preset temperature threshold value so as to judge the working state of the building equipment, when the temperature value exceeds the preset temperature threshold value, the building equipment is judged to be in a working state, the data initial inspection module performs initial inspection on the building equipment, calculating the operation value of the building equipment through the heating rate and the cooling rate of the building equipment and the average temperature of the building equipment in the working time, generating different instructions after the operation value of the building equipment is compared with a preset value, sending the different instructions to the corresponding safety early warning module and the corresponding fault maintenance module, sending the basic information of the building equipment qualified by primary inspection to the storage module for storage, the design carries out data initialization on the building equipment so as to generate different signal instructions to be loaded into corresponding functional modules;

2. according to the invention, the safety early warning module carries out safety early warning on the building equipment after receiving the safety early warning instruction, the soil bearing capacity of the area where the building equipment is located is obtained by calculating the environmental influence value of the area where the building equipment is located through the temperature value, the wind power value, the visibility, the soil humidity value, the weather forecast data and the weather forecast data of the area where the building equipment is located in combination with the soil humidity value, the safety early warning value of the building equipment is obtained by calculating a formula, the safety early warning value of the building equipment is compared with a set threshold value to generate a safety early warning signal and an unsafe early warning signal, and the design carries out safety check on the external environment where the building equipment is located and the building equipment when the building equipment is started, so that safety accidents and faults of the building equipment are avoided, the use standardization of the building equipment is ensured, and the safety of building construction;

3. when a fault maintenance module receives a fault maintenance instruction, the fault maintenance module combines a maintenance distribution unit to perform fault maintenance on the building equipment, judges whether primary selection is a preferred person or not according to the waiting reply duration of the fault maintenance request instruction, further obtains the waiting reply duration of a positioning request instruction on the basis of the preferred person, adds the waiting reply duration of the fault maintenance request instruction and the waiting reply duration of the positioning request instruction and obtains an average waiting reply duration of the preferred person by averaging, and calculates a recommended value of the building equipment of the preferred person by using a formula according to data such as distance difference, maintenance success rate, maintenance quantity to be maintained, average maintenance duration, average maintenance quality guarantee duration, maintenance good evaluation rate, maintenance price and job time duration of the preferred person, wherein the preferred person with the largest maintenance value is selected as a maintenance person of the building equipment, and meanwhile, the fault maintenance module also calculates the maintenance duration, maintenance time of the maintenance person and job time, The maintenance quality guarantee period is long to record, the maintenance value of maintenance personnel is convenient to calculate accurately, when the building equipment breaks down, the best maintenance resource is selected through a flow method on the basis of reasonably distributing the maintenance resource, and the broken down building equipment can be overhauled timely and effectively.

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 block diagram of an overall system according to a first embodiment of the present invention;

FIG. 2 is a system block diagram of a data acquisition module according to a first embodiment of the present invention;

FIG. 3 is a block diagram of an overall system according to a second embodiment of the present invention;

fig. 4 is a system block diagram of a data acquisition module according to a second embodiment of the present invention.

Detailed Description

The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.

Example one

Referring to fig. 1-2, a building equipment management system based on artificial intelligence includes a data acquisition module, a data initial inspection module, a safety early warning module, a storage module, a data entry module, an on-register registration module, a display module, a fault maintenance module, a timing unit and a server;

the data entry module is used for entering basic information of the building equipment and sending the basic information to the on-register registration module, the basic information comprises the equipment model, the equipment weight, the equipment specification, the production date and the like of the building equipment, fault maintenance preparation work can be conveniently carried out by building equipment maintenance personnel, and the maintenance personnel can carry required maintenance tools according to the type and the model of the building equipment; the system comprises an on-register registration module, a data primary inspection module, a storage module and a data primary inspection module, wherein the on-register registration module is used for receiving basic information sent by the data entry module, the on-register registration module is used for carrying out on-register registration on the basic information of the building equipment, the basic information of the building equipment which is successfully registered in the on-register registration is sent to the data primary inspection module, the data primary inspection module is used for receiving the basic information of the building equipment and carrying out primary inspection on the basic information of the building equipment, and the basic information of the building equipment which is qualified in;

the data acquisition module specifically comprises a positioning unit, a temperature acquisition unit, a wind power acquisition unit, a visibility detection unit, a humidity acquisition unit and a weather acquisition unit, wherein the positioning unit is used for positioning the geographical position of the building equipment in real time, the temperature acquisition unit is used for acquiring the temperature value of the building equipment in real time, the wind power acquisition unit is used for acquiring the wind power value of the area where the building equipment is located in real time, the visibility detection unit is used for acquiring the visibility of the area where the building equipment is located in real time, the humidity acquisition unit is used for acquiring the soil humidity value of the area where the building equipment is located in real time, and the weather acquisition unit is used for acquiring weather forecast data of the area where the building equipment is;

the system comprises a positioning unit, a temperature acquisition unit, a wind power acquisition unit, a visibility detection unit, a humidity acquisition unit, a data preliminary examination module and a weather forecast unit, wherein the positioning unit is used for sending the geographical position of the building equipment to the data preliminary examination module, the temperature acquisition unit is used for sending the temperature value of the building equipment to the data preliminary examination module, the wind power acquisition unit is used for sending the area where the building equipment is located to the data preliminary examination module, the visibility detection unit is used for sending the visibility of the area where the building equipment is located to the data preliminary examination module, the humidity acquisition unit is used for sending the soil humidity value of the area where the building equipment is located to the data;

step seven: using formulas

the server receives and judges the operation value of the building equipment, generates a safety instruction when the operation value is greater than or equal to a preset value X1, generates a safety early warning instruction when the operation value is less than a preset value X1, and sends the safety early warning instruction to the safety early warning module; when the operation value is smaller than a preset value X2, generating a fault maintenance instruction; the server sends a safety instruction, a safety early warning instruction and a fault maintenance instruction to a display module, and the display module is used for receiving and displaying the safety instruction, the safety early warning instruction and the fault maintenance instruction; wherein X2 is less than X1;

the safety early warning module carries out safety early warning analysis on the building equipment after receiving a safety early warning instruction sent by the server, and the analysis process specifically comprises the following steps:

s1: the safety early warning module immediately carries out safety early warning analysis on the construction equipment when receiving the safety early warning instruction, obtains a temperature value WD, a wind power value FL, visibility NJD, a soil humidity value SD and weather forecast data of an area where the construction equipment is located, and calculates and obtains the soil bearing capacity TC of the area where the construction equipment is located by combining the soil humidity value; the weather forecast data specifically comprises a wind power value, a rainfall, a visibility value, a temperature value and the like of an area where the building equipment is located;

s2: acquiring weather forecast data of an area where the building equipment is located and processing the weather forecast data, wherein the processing steps are as follows:

specifically, when rain exists in the weather forecast data on the fifth day and the tenth day, the matched Q5 and Q10 are summed to obtain a total rainfall value JY;

s24: using formulas

s25: the environmental impact value of the weather forecast data on the area where the building equipment is located is sent to a safety early warning module;

wherein c1, c2 and c3 are all presetThe proportionality coefficient is a fixed value;

the server is also used for sending the safety early warning signal processed by the safety early warning module to the display module, and the display module receives and displays the safety early warning signal processed by the safety early warning module;

specifically, the soil humidity value can be calculated by a gravimetric method, a resistance method, a negative pressure meter method, a neutron method, a remote sensing method and the like; the soil bearing capacity is obtained by calculating the foundation bearing capacity through an in-situ test method, a theoretical formula method, a standard table method, a local experience method and the like;

the fault maintenance module is used for receiving a fault maintenance instruction sent by the server, the fault maintenance module comprises a maintenance distribution unit, the fault maintenance module performs fault maintenance on the building equipment by combining with the maintenance distribution unit, and the fault maintenance process specifically comprises the following steps:

step SS 3: the fault maintenance module sends a positioning request instruction to a mobile terminal of a preferred person through a positioning unit, a timing unit starts timing at the same time, the time for starting timing is recorded as Tk, a person to be selected receives the positioning request instruction and sends confirmation information to the fault maintenance module, the timing unit stops timing at the same time, and the time for stopping timing is recorded as Tt, so that maintenance personnel can conveniently reach the maintenance site of the building equipment in time according to the position information; calculating the time difference between the time Tk and the time Tt, and marking the time difference as the waiting reply time length of the preferred personnel as TH2 u;

step SS 9: after receiving the maintenance start instruction, the maintenance personnel carries out maintenance work on the fault building equipment, after the maintenance is finished, a maintenance completion instruction is sent to the fault maintenance module, the fault maintenance module stops timing by the timing unit after receiving the maintenance completion instruction, the timing stopping time information is recorded, and the maintenance duration of the maintenance personnel is calculated by using the time difference;

the timing unit is also used for sending timing information of the maintenance completion instruction to the storage module for storage, when the building equipment after maintenance completion of the maintenance personnel fails again, the timing unit records the time when the building equipment fails again, and the maintenance quality guarantee duration of the building equipment of the maintenance personnel is obtained by calculating the time difference;

specifically, the maintenance experience includes fault factors, solutions, maintenance summary and the like of the building equipment, and uploading of the maintenance experience facilitates mutual learning and benefit and deficiency summary of subsequent maintenance personnel;

a building equipment management system based on artificial intelligence is characterized in that during work, basic information of building equipment is input through a data input module, the basic information is sent to an on-register registration module, and then the base of the building equipment is sent to an on-register registration moduleThe information is registered in an album, basic information of building equipment which is successfully registered in the album is sent to a data primary inspection module, the data primary inspection module performs primary inspection on the basic information of the building equipment, the data primary inspection module judges that the building equipment is in a stop state when detecting that the temperature value of the building equipment is lower than a preset temperature threshold value, the data primary inspection module judges that the building equipment is in a working state when detecting that the temperature value of the building equipment exceeds the preset temperature threshold value, the data primary inspection module starts primary inspection on the building equipment, firstly, an initial temperature value before the building equipment starts working and time information T1 corresponding to the initial temperature value are obtained, then, time information T2 reaching the preset temperature value WY in the working process of the building equipment is obtained, and a heating rate J1 of the building equipment is obtained by using a formula J1= (WY-W1)/(T2-T1), then, time information T3 corresponding to the time when the temperature information reaches an initial temperature value after the operation of the building equipment is finished is obtained, a temperature reduction rate J2 of the building equipment is obtained by using a formula J2= (WY-W1)/(T3-T2), the operating time TG of the building equipment is obtained according to a formula T = T3-T1, the operating time is divided into a plurality of time points TGi, and the temperature information W corresponding to the building equipment at the time points TGi is obtained_TGiThe average temperature Wp of the construction equipment in the working time can be obtained, and finally, the formula is utilized

Calculating the operation value of the building equipment, sending the operation value of the building equipment to a server by a data primary inspection module, receiving and judging the operation value of the building equipment by the server, generating a safety instruction when the operation value is greater than or equal to a set preset value X1, generating a safety early warning instruction when the operation value is smaller than a set preset value X1, sending the safety early warning instruction to a safety early warning module by the server, generating a fault maintenance instruction when the operation value is smaller than a set preset value X2, sending the safety instruction, the safety early warning instruction and the fault maintenance instruction to a display module by the server, receiving and displaying the safety instruction, the safety early warning instruction and the fault maintenance instruction by the display module, and sending basic information of the building equipment qualified by primary inspection to a storage module for storage;

after receiving a safety early warning instruction, a safety early warning module carries out safety early warning on the construction equipment, respectively obtains a temperature value WD, a wind power value FL, visibility NJD, a soil humidity value SD and weather forecast data of an area where the construction equipment is located, calculates the soil bearing capacity TC of the area where the construction equipment is located by combining the soil humidity value, obtains a rainfall value Qd at a corresponding time in the weather forecast data, matches the using time of the construction equipment with the rainfall value in the weather forecast data to obtain a rainfall value corresponding to the area where the construction equipment is located during the using period, sums to obtain a total rainfall value JY, matches the using time of the rainfall equipment with the temperature value in the weather forecast data to obtain a temperature value corresponding to the area where the construction equipment is located during the using period, sums to obtain an average temperature WP, using formulas

Obtaining an environmental influence value of weather forecast data on an area where the building equipment is located, sending the environmental influence value of the weather forecast data on the area where the building equipment is located to a safety early warning module, calculating a weight value of the area where the building equipment is located corresponding to the building equipment, obtaining a total weight value ZZ of the building equipment in the area where the building equipment is located by using a summation formula, if ZZ is less than TC, generating a safety early warning signal, if ZZ is more than or equal to TC, otherwise generating a safety early warning signal, and then using the formula

Calculating to obtain a safety early warning value of the building equipment, sending the calculated safety early warning value of the building equipment to a server, generating a safety early warning signal when the safety early warning value is smaller than a set threshold value, and generating an unsafe early warning signal when the safety early warning value is larger than or equal to the set threshold value;

when the fault maintenance module receives a fault maintenance instruction sent by a server, the fault maintenance module combines a maintenance distribution unit to perform fault maintenance on the building equipment, firstly, the fault maintenance personnel in the idle state are obtained, and all the fault maintenance personnel in the idle state areClassifying the selected person as a candidate, sending a fault maintenance request instruction to a mobile terminal of the candidate by the fault maintenance module respectively, simultaneously recording the receiving time of the confirmation information as Tj by the timing unit, calculating a waiting reply time TH between the time Tf and the time Tj, classifying the candidate as an optimal person u when the waiting reply time TH is less than a set time threshold, recording the waiting reply time TH of the optimal person as TH1u, sending a positioning request instruction to the mobile terminal of the optimal person by the fault maintenance module through the positioning unit, starting the timing time Tk by the timing unit, receiving the positioning request instruction by the candidate and sending the confirmation information to the fault maintenance module, and stopping timing by the timing unit, recording the time of stopping timing as Tt, calculating a waiting reply time length TH2u between the time Tk and the time Tt, adding the waiting reply time length TH1u and the waiting reply time length TH2u, averaging to obtain an average waiting reply time length THPu of the preferred personnel, then obtaining a distance difference JLu, a maintenance success rate WCu, a quantity WD to be maintained, an average maintenance time length WPTu, an average maintenance quality guarantee time length WPTBu, a maintenance good rate WHu, a maintenance price WJu and an attendance time length TRZu of the preferred personnel, and utilizing a formula

Calculating to obtain a recommended value TJu of building equipment of preferred personnel, acquiring the preferred personnel with the largest maintenance value, selecting the preferred personnel as maintenance personnel of the building equipment, sending a maintenance selection instruction to a mobile terminal of the maintenance personnel by a fault maintenance module, simultaneously increasing the maintenance total amount of the maintenance personnel once, sending the current location to the fault maintenance module by the mobile terminal when the maintenance personnel reach the position of the fault building equipment, matching the position by the fault maintenance module, sending a maintenance start instruction to the mobile terminal of the maintenance personnel after the position matching is successful, starting timing by the timing module, recording the time information for starting timing, carrying out maintenance work on the fault building equipment by the maintenance personnel after receiving the maintenance start instruction, sending maintenance completion after the maintenance is completed, sending maintenance completion instructionsThe instruction is sent to the fault maintenance module, the fault maintenance module stops timing after receiving the maintenance completion instruction, the timing unit records the time information of timing stopping, the maintenance duration of the maintenance personnel is obtained by utilizing time difference calculation, meanwhile, the timing unit is also used for sending the timing information of the maintenance completion instruction to the storage module for storage, when the construction equipment after maintenance completion of the maintenance personnel fails again, the timing unit records the time when the construction equipment fails again, and the maintenance quality guarantee duration of the construction equipment of the maintenance personnel is obtained by calculating the time difference; after maintenance, maintenance personnel can also send fault reasons and maintenance experiences of the building equipment to the storage module through the data entry module for storage, the server also sends fault maintenance instructions and fault information of the building equipment to the storage module, and the storage module records and stores the fault information of the building equipment and then generates a fault record table.

Example two

Referring to fig. 3-4, a building equipment management system based on artificial intelligence includes a server, the server further includes a big data module and a work allocation module, the big data module specifically includes a power grid big data module and a residential big data module, the power grid big data module is used for recording the electricity consumption of residents in the area where the building equipment is located, the electricity consumption of residents is specifically the electricity consumption peak time period and the electricity consumption low peak time period of residents in the area where the building equipment is located, the residential big data module is used for recording the work conditions of residents in the area where the building equipment is located, and the work conditions are specifically the working hours on duty and the working hours off duty of residents in the area where the building equipment is located;

the data acquisition module also comprises a decibel detection unit, and the decibel detection unit is used for detecting the working noise of the building equipment and sending the working noise to the working allocation module;

the residence big data module is also used for acquiring the residential building of the area where the building equipment is located, marking the residential building as o, and further acquiring the number Ro of residents corresponding to the residential building, wherein o =1, 2, … … and x; the work allocation module is used for intelligently allocating the working time of the building equipment, and the intelligent allocation process is as follows:

step P1: acquiring the working time of residents in the area of the building equipment, and marking the working time as TS_Ro(ii) a Acquiring the off-duty time of residents in the area where the building equipment is located, and marking the off-duty time as TX_Ro；

Step P2: using formulas

Calculating to obtain the average working time TPS of residents in the area where the building equipment is located; using formulas

Calculating to obtain the average off-duty time TPX of residents in the area where the building equipment is located;

step P3: acquiring peak time periods and low time periods of residents in an area where the building equipment is located, and recording time information of the peak time periods as Tg and time information of the low time periods as Td;

step P4: the working time of the construction equipment is obtained by timing by the timing unit, and the working time comprises the starting working time TGk and the stopping working time TGt of the construction equipment:

step P5: comparing the average working time of the residents with the working time of the construction equipment, if the average working time TPS of the residents is earlier than the working start time TGk, the working time of the construction equipment does not need to be allocated, if the average working time TPS of the residents is later than the working start time TGk, the working time of the construction equipment needs to be allocated, and entering a step P7; if the average off-duty time TPS of the residents is later than the work stop time TGk, the working time of the construction equipment does not need to be allocated, if the average off-duty time TPS of the residents is earlier than the work stop time TGk, the working time of the construction equipment needs to be allocated, and the step P7 is entered;

step P6: comparing the peak time period and the low time period of the residents with the working time of the building equipment, if the peak time period and the low time period of the residents are within the working time of the building equipment, judging that the residents in the area where the building equipment is located are at home and the working time of the building equipment needs to be allocated, and entering a step P7; if the peak time period of the residents is within the working time of the building equipment, judging that the residents in the area where the building equipment is located are not at home and the working time of the building equipment does not need to be allocated;

step P7: obtaining the building equipment to be allocated in the step, marking the building equipment to be allocated as the building equipment to be allocated, and obtaining a decibel value ZYp, p =1, 2, … …, t of each building equipment to be allocated through a decibel detection unit;

step P8: substituting the decibel value ZYp into a calculation formula Zp = ZYp-alpha to calculate to obtain the building equipment to be adjusted with a noise value Zp larger than a set noise threshold value, wherein alpha is a fixed value of a preset proportionality coefficient, specifically is a noise reduction value of noise reduction measures of an area where the building equipment to be adjusted is located, and the noise reduction measures comprise a noise reduction enclosure, a sound insulation board, a silencer and the like;

step P9: and allocating the working time of the building equipment to be allocated according to the average working time, the time information of the peak period and the time information of the low peak period.

The utility model provides a construction equipment management system based on artificial intelligence, the during operation, through the resident power consumption condition of the regional resident of electric wire netting big data module record construction equipment place, through resident's the resident working condition of the regional resident of big data module record construction equipment place, acquire the residential building o of the regional building of construction equipment place at first, then further acquire the resident number Ro that lives and obtain the residential building and correspond, the operating time of rethread work allotment module to construction equipment carries out intelligent allotment, acquire the working time TS of the resident of the regional building equipment place_RoAnd the time of day TX of the residents of the area where the construction equipment is located_RoUsing the formula

Calculating to obtain average working time TPS of residents in the area of the building equipment, and utilizing a formula

Calculating to obtain the average off-duty time TPX of residents in the area of the building equipment, and then acquiring the peak time period and the low peak time period of the residents in the area of the building equipmentAnd recording the time information of the peak period as Tg and the time information of the low peak period as Td, obtaining the working time of the building equipment by timing through a timing unit, comparing the average working time of residents with the working time of the building equipment, judging that the residents in the area where the building equipment is located are not at home and the working time of the building equipment is not required to be allocated if the average working time TPS of the residents is earlier than the working start time TGk and the average working time TPS of the residents is later than the working stop time TGkhe and the low peak period of the residents is within the working time of the building equipment, judging that the residents in the area where the building equipment is located are at home if the average working time TPS of the residents is earlier than the working stop time TGk and the average working time TPS of the residents is later than the working start time TGk and the working time of the residents and the low peak period are compared with the working time of the building equipment, and judging that the residents are at home if the peak period, the working time of the building equipment needs to be allocated, the building equipment needing to be allocated is marked as the building equipment to be allocated, a decibel value ZYp of each building equipment to be allocated is obtained through a decibel detection unit, the decibel value ZYp is sent to a working allocation module, the decibel value ZYp is substituted into a calculation formula Zp = ZYp-alpha, the building equipment to be allocated with the noise value Zp larger than a set noise threshold is obtained through calculation, and the working time of the building equipment to be allocated is allocated according to the average working time, the time information of the peak period and the time information of the low peak period.

The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.

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 forms 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

1. A building equipment management system based on artificial intelligence is characterized by comprising a data acquisition module, a data primary inspection module, a safety early warning module, a storage module, a data entry module, an on-register registration module, a display module, a fault maintenance module, a timing unit and a server;

step seven: using formulas

2. The artificial intelligence based building equipment management system according to claim 1, wherein the data acquisition module specifically comprises a positioning unit, a temperature acquisition unit, a wind power acquisition unit, a visibility detection unit, a humidity acquisition unit and a weather acquisition unit, the positioning unit is used for positioning the geographical position of the building equipment in real time, the temperature acquisition unit is used for acquiring the temperature value of the building equipment in real time, the wind power acquisition unit is used for acquiring the wind power value of the area where the building equipment is located in real time, the visibility detection unit is used for acquiring the visibility of the area where the building equipment is located in real time, the humidity acquisition unit is used for acquiring the soil humidity value of the area where the building equipment is located in real time, and the weather acquisition unit is used for acquiring the weather forecast data of the area where the building equipment is located in real time;

3. The building equipment management system based on artificial intelligence of claim 1, wherein the safety early warning module performs safety early warning analysis on the building equipment after receiving a safety early warning instruction sent by a server, and the analysis process specifically comprises the following steps:

4. The artificial intelligence based construction equipment management system according to claim 3, wherein the processing steps in S2 are as follows:

s24: using formulas

5. The system according to claim 1, wherein the fault maintenance module is configured to receive a fault maintenance instruction sent by the server, the fault maintenance module includes a maintenance allocation unit, the fault maintenance module performs fault maintenance on the building device in combination with the maintenance allocation unit, and the fault maintenance process specifically includes:

6. The artificial intelligence based building equipment management system according to claim 5, wherein the timing unit is further configured to send timing information of the maintenance completion instruction to the storage module for storage, and when the building equipment fails again after maintenance is completed by a maintenance worker, the timing unit records the time when the building equipment fails again, and the maintenance shelf life of the building equipment of the maintenance worker is obtained by calculating a time difference;