Smart park asset data management method and system for unified management

Abstract

The invention discloses a smart park asset data management method and system for unified management, and relates to the technical field of data processing, and the method comprises the steps: carrying out the digital collection of asset data, and obtaining basic information, state information and dynamic information; based on the basic information of the asset data, performing facility division on the asset data to obtain categories of the asset data; establishing a database; analyzing and evaluating the asset data based on the category, state information and dynamic information of the asset data; performing unified management on the asset data based on the evaluation result; the method is used for solving the problem that in the prior art, when asset data of a smart park is managed, unified dynamic monitoring is not carried out on facilities, so that the obtained facility data is complex and diverse, and the management difficulty is large in the management process.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and specifically to a smart park asset data management method and system for unified management. Background Art

[0002] A smart park refers to an advanced park that integrates new-generation information and communication technologies, has the capabilities of rapid information collection, high-speed information transmission, highly centralized computing, intelligent transaction processing, and ubiquitous service provision, and realizes timely, interactive, and integrated information perception, transmission, and processing within the park to improve the industrial agglomeration ability of the park, the economic competitiveness of enterprises, and the sustainable development of the park.

[0003] In the prior art, when managing smart park asset data, it often directly analyzes the existing equipment data in the database without long-term unified dynamic monitoring of the facilities in the park. For example, in the patent application with the publication number CN111581187A, a data management method, device, computer device, and storage medium for a smart park are disclosed. This solution obtains the device data of each device in the smart park; splits the device identifier corresponding to the device data to obtain the park identifier and building identifier; queries the affiliated smart park information table of the smart park database according to the park identifier for the affiliated smart park information of the device data; queries the affiliated building information table of the affiliated smart park information table according to the building identifier for the affiliated building information of the device data; queries the affiliated device data table of the affiliated building information table according to the device identifier for the affiliated device data table of the device data; fills the device data into the affiliated device data table; this method does not perform unified dynamic monitoring on the facilities, so the obtained facility data is complex and diverse, resulting in a problem of high management difficulty during the management process. Summary of the Invention

[0004] The present invention aims to at least partly solve one of the technical problems in the prior art, and is used to solve the problem in the prior art that when managing the asset data of a smart park, there is no unified dynamic monitoring of the facilities, so the obtained facility data is complex and diverse, resulting in a problem of high management difficulty during the management process.

[0005] To achieve the above object, in the first aspect, the present application provides a smart park asset data management method for unified management, including the following steps:

[0006] Digitally collect asset data to obtain basic information, status information, and dynamic information;

[0007] Based on the basic information of the asset data, divide the asset data into categories of asset data;

[0008] Establish a database;

[0009] Analyze and evaluate asset data based on the category, status information, and dynamic information of the asset data;

[0010] Carry out unified management of asset data based on the evaluation results.

[0011] Furthermore, the digital acquisition of asset data to obtain basic information, status information, and dynamic information includes the following sub-steps:

[0012] Sensors are installed on the facilities in the park, and the sensors are used to collect the facility status in real time. The facility status includes the operation duration, failure condition, and energy consumption cost of the facilities;

[0013] Import the basic information and maintenance data of the facilities in the park from the existing asset management system. The maintenance data includes the maintenance cost and maintenance time point; the basic information of the facilities includes the location, type, purchase cost, and purchase date of the facilities, and the difference between the current date and the purchase date is set as the purchase duration;

[0014] Set the operation duration and purchase duration of the park facilities as status information, and set the failure condition, energy consumption cost, and maintenance data as dynamic information.

[0015] Furthermore, the classification of asset data to obtain the category of asset data based on the basic information of the asset data includes obtaining the location of the facility from the basic information, and dividing the facilities based on the location to obtain indoor facilities and outdoor facilities;

[0016] The facility classification includes obtaining the park floor plan, constructing a three-dimensional model of the park based on BIM technology, setting the building area in the three-dimensional model as the indoor area, setting the other areas in the three-dimensional model as the outdoor area, obtaining the location information of any facility, marking the facility in the three-dimensional model of the park, and setting the facility as an indoor facility when the facility is in the indoor area, and setting the facility as an outdoor facility when the facility is in the outdoor area.

[0017] Furthermore, the establishment of the database includes using a relational database to store structured data, and using a non-relational database to store real-time data and log data. The structured data includes basic information and the category of facilities, and the real-time data and log data include status information and dynamic information.

[0018] Furthermore, the analysis and evaluation of asset data based on the category, status information, and dynamic information of the asset data includes the following sub-steps:

[0019] Obtain the status information of the facilities from the database, calculate the efficiency of the status information of the facilities, and obtain the real-time efficiency and utilization rate of the facilities;

[0020] The efficiency calculation includes obtaining the operation duration, acquisition duration, and energy consumption cost of the facility from the status information and dynamic information of the database, setting the ratio of the operation duration of the facility to the energy consumption cost as the real-time efficiency of the facility, and setting the ratio of the operation duration to the acquisition duration as the utilization rate of the facility;

[0021] Obtain the historical dynamic information of the facility from the database, and perform fault prediction on the facility based on the historical dynamic information to obtain the fault prediction time point;

[0022] Perform a life cycle assessment on the facility based on the real-time efficiency, utilization rate, and fault prediction time point of the facility to obtain the life cycle progress of the facility.

[0023] Further, the fault prediction includes obtaining the historical fault conditions and maintenance data of the facility from the database, obtaining the fault time point and the operation duration of the facility when the fault occurs based on the historical fault conditions, setting the fault time point as the fault time feature, and setting the operation duration of the facility when the fault occurs as the fault operation feature;

[0024] Set the interval duration between adjacent maintenance time points as the maintenance interval duration, obtain the maintenance interval duration, and set the maintenance interval as the maintenance feature;

[0025] Construct a fault prediction model, set the fault time feature, fault operation feature, and maintenance feature as the training set and bring it into the fault prediction model for training; use the trained fault prediction model to output the fault prediction time point.

[0026] Further, the life cycle assessment includes when performing a life cycle assessment, setting the facility that needs to be assessed for the life cycle as the target facility, and based on the type and category of the target facility, obtaining the asset data of the historical facilities of the same type and category as the target facility from the database, where the historical facilities are the facilities that have completed the life cycle; obtaining the total life cycle cost of the historical facility from the asset data of the historical facility, and referring to the total life cycle cost, where the reference total life cycle cost includes the acquisition cost, maintenance cost, and energy consumption cost of the historical facility;

[0027] Obtain the acquisition cost, real-time maintenance cost, and real-time energy consumption cost of the target facility, and set the sum of the acquisition cost, real-time maintenance cost, and real-time energy consumption cost of the target facility as the real-time life cycle cost of the target facility;

[0028] Set the ratio of the real-time life cycle cost of the target facility to the reference life cycle cost as the life cycle progress.

[0029] Second aspect, the present application provides a smart park asset data management system for unified management. The system includes a data collection module, a data classification module, a data analysis module, and a data management module;

[0030] The data collection module is used to digitally collect asset data to obtain basic information, status information, and dynamic information; the data classification module divides the asset data into categories based on the basic information of the asset data; the data analysis module analyzes and evaluates the asset data based on the category, status information, and dynamic information of the asset data; the data management module is used to perform unified management on the asset data based on the evaluation results and establish a database.

[0031] Advantages of the present invention: The present invention first digitally collects asset data to obtain basic information, status information, and dynamic information. By uniformly digitally collecting the asset data, it ensures the data consistency of the basic information, status information, and dynamic information of the obtained asset data, simplifies the data collection process, and improves the speed of data analysis;

[0032] The present invention also divides the asset data into categories based on the basic information of the asset data, analyzes and evaluates the asset data based on the category, status information, and dynamic information of the asset data. The status information of the asset data can reflect the life cycle changes of the asset data, and the dynamic information of the asset data can reflect the real-time efficiency of the asset data. By evaluating the real-time efficiency and life cycle changes of the asset data, unified management is performed based on the evaluation results to reduce management costs and improve the operation efficiency of the park. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a step flow chart of the system of the present invention;

[0034] Figure 2 It is a schematic plan view of the facility division of the method of the present invention;

[0035] Figure 3 It is a block diagram of the system principle of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0037] Example 1, please refer to Figure 1As shown in the figure, the present application provides a smart park asset data management method for unified management, including the following steps:

[0038] S1: Digitally collect asset data to obtain basic information, status information, and dynamic information; Step S1 includes the following sub-steps:

[0039] S101: Sensors are installed on the facilities in the park. The sensors are used to collect the facility status in real time. The facility status includes the operation duration, failure condition, and energy consumption cost of the facilities. In the specific implementation process, the facilities in the park include elevators, air conditioners, lighting systems, security facilities, mechanical and electrical facilities, etc.;

[0040] S102: Import the basic information and maintenance data of the facilities in the park from the existing asset management system. The maintenance data includes maintenance cost and maintenance time point; The basic information of the facilities includes the location, type, purchase cost, and purchase date of the facilities. Set the difference between the current date and the purchase date as the purchase duration;

[0041] S103: Set the operation duration and purchase duration of the park facilities as status information, and set the failure condition, energy consumption cost, and maintenance data as dynamic information.

[0042] S2: Based on the basic information of the asset data, divide the asset data by facilities to obtain the categories of the asset data;

[0043] Please refer to Figure 2 As shown in the figure, Step S2 includes obtaining the location of the facilities from the basic information, dividing the facilities based on the location to obtain indoor facilities and outdoor facilities;

[0044] The facility division includes obtaining the park floor plan, constructing a 3D model of the park based on BIM technology, setting the building areas in the 3D model as indoor areas, setting the other areas in the 3D model as outdoor areas, obtaining the location information of any facility, marking the facility in the 3D model of the park, and when the facility is in the indoor area, setting the facility as an indoor facility, and when the facility is in the outdoor area, setting the facility as an outdoor facility; In the specific implementation process, when managing asset data, the life cycles of different types of facilities in different indoor and outdoor environments are significantly different, so it is necessary to classify the facilities;

[0045] S3: Establish a database; Step S3 includes using a relational database to store structured data, using a non-relational database to store real-time data and log data. The structured data includes basic information and the categories of facilities, and the real-time data and log data include status information and dynamic information;

[0046] S4: Analyze and evaluate the asset data based on the category, status information, and dynamic information of the asset data; Step S4 includes the following sub-steps:

[0047] S401: Obtain the status information of the facility from the database, calculate the efficiency of the status information of the facility, and obtain the real-time efficiency and utilization rate of the facility;

[0048] The efficiency calculation includes obtaining the operation duration, purchase duration, and energy consumption cost of the facility from the status information and dynamic information in the database, setting the ratio of the operation duration of the facility to the energy consumption cost as the real-time efficiency of the facility, and setting the ratio of the operation duration to the purchase duration as the utilization rate of the facility; In the specific implementation process, for example, in a calculation of the efficiency of street lights, the obtained operation duration of the street lights is 200 hours, the purchase duration is 300 hours, and the energy consumption cost is 40 yuan, then the real-time efficiency of the street lights is 5, and the utilization rate is 67%;

[0049] S402: Obtain the historical dynamic information of the facility from the database, and predict the faults of the facility based on the historical dynamic information to obtain the fault prediction time point;

[0050] The fault prediction includes obtaining the historical fault conditions and maintenance data of the facility from the database, obtaining the fault time point and the operation duration of the facility when the fault occurs based on the historical fault conditions, setting the fault time point as the fault time feature, and setting the operation duration of the facility when the fault occurs as the fault operation feature;

[0051] Set the interval duration between adjacent maintenance time points as the maintenance interval duration, obtain the maintenance interval duration, and set the maintenance interval as the maintenance feature;

[0052] Construct a fault prediction model, set the fault time feature, fault operation feature, and maintenance feature as the training set and bring them into the fault prediction model for training; Use the trained fault prediction model to output the fault prediction time point.

[0053] S403: Conduct a life cycle assessment of the facility based on the real-time efficiency, utilization rate, and fault prediction time point of the facility to obtain the life cycle progress of the facility;

[0054] Life cycle assessment includes, when conducting a life cycle assessment, setting the facility that requires life cycle assessment as the target facility. Based on the type and category of the target facility, asset data of historical facilities of the same type and category as the target facility are retrieved from the database. The historical facilities are facilities that have completed their life cycles; the total life cycle cost of the historical facility is obtained from the asset data of the historical facility. Referring to the total life cycle cost, the total life cycle cost includes the acquisition cost, maintenance cost, and energy consumption cost of the historical facility; in the specific implementation process, for example, when conducting a life cycle assessment of street lights once, the street lights that require life cycle assessment are set as the target street lights. The type of the target street lights is lighting facilities, and the category is outdoor facilities. Taking lighting facilities and outdoor facilities as the retrieval targets, historical facilities that have completed their life cycles are retrieved from the database. If the total life cycle cost of the historical facility obtained is 600 yuan, then the reference total life cycle cost is 600 yuan;

[0055] Obtain the acquisition cost, real-time maintenance cost, and real-time energy consumption cost of the target facility, and set the sum of the acquisition cost, real-time maintenance cost, and real-time energy consumption cost of the target facility as the real-time life cycle cost of the target facility;

[0056] Set the ratio of the real-time life cycle cost of the target facility to the reference life cycle cost as the life cycle progress; in the specific implementation process, for example, when conducting a life cycle assessment of street lights once, if the real-time life cycle cost of the target street lights obtained is 200 yuan and the reference total life cycle cost is 600 yuan, then the life cycle progress of the target street lights is 33%;

[0057] S5: Conduct unified management of the asset data based on the assessment results; in the specific implementation process, for example, in a unified management process once, obtain the real-time efficiency, utilization rate, fault prediction time point, and life cycle progress of the facilities in the park, conduct maintenance warnings for the facilities based on the fault prediction time point, and set the real-time efficiency, utilization rate, and life cycle progress of multiple facilities of the same type as chart data for display.

[0058] Example 2, please refer to Figure 3 As shown, the present application also provides a smart park asset data management system for unified management. The system includes a data collection module, a data classification module, a data analysis module, and a data management module;

[0059] The data acquisition module is used to digitally acquire asset data to obtain basic information, status information, and dynamic information. The data acquisition module is configured with a data acquisition strategy, which includes setting sensors on the facilities in the park. The sensors are used to collect the facility status in real time. The facility status includes the operation duration, fault condition, and energy consumption cost of the facility. Import the basic information and maintenance data of the facilities in the park from the existing asset management system. The maintenance data includes the maintenance cost and the maintenance time point. The basic information of the facility includes the location, type, acquisition cost, and acquisition date of the facility. Set the difference between the current date and the acquisition date as the acquisition duration. Set the operation duration and acquisition duration of the park facilities as the status information, and set the fault condition, energy consumption cost, and maintenance data as the dynamic information.

[0060] The data classification module divides the asset data into categories of asset data based on the basic information of the asset data. The data classification module is configured with a data classification strategy, which includes obtaining the location of the facility from the basic information and dividing the facilities based on the location to obtain indoor facilities and outdoor facilities.

[0061] The facility division includes obtaining the park floor plan, constructing a three-dimensional model of the park based on BIM technology, setting the building area in the three-dimensional model as the indoor area, setting the other areas in the three-dimensional model as the outdoor area, obtaining the location information of any facility, marking the facility in the three-dimensional model of the park, and setting the facility as an indoor facility when the facility is in the indoor area and setting the facility as an outdoor facility when the facility is in the outdoor area.

[0062] The data analysis module analyzes and evaluates the asset data based on the category, status information, and dynamic information of the asset data. The data analysis module includes a data analysis unit and a data evaluation unit. The data analysis unit is configured with a data analysis strategy, which includes obtaining the status information of the facility from the database, calculating the efficiency of the status information of the facility to obtain the real-time efficiency and utilization rate of the facility.

[0063] The efficiency calculation includes obtaining the operation duration, acquisition duration, and energy consumption cost of the facility from the status information and dynamic information in the database, setting the ratio of the operation duration of the facility to the energy consumption cost as the real-time efficiency of the facility, and setting the ratio of the operation duration to the acquisition duration as the utilization rate of the facility.

[0064] Obtain the historical dynamic information of the facility from the database, and perform fault prediction on the facility based on the historical dynamic information to obtain the fault prediction time point.

[0065] Fault prediction includes obtaining the historical fault conditions and maintenance data of the facility from the database, obtaining the fault time point and the operating duration of the facility when the fault occurs based on the historical fault conditions, setting the fault time point as the fault time feature, and setting the operating duration of the facility when the fault occurs as the fault operation feature;

[0066] Set the interval duration between adjacent maintenance time points as the maintenance interval duration, obtain the maintenance interval duration, and set the maintenance interval as the maintenance feature;

[0067] Build a fault prediction model, set the fault time feature, fault operation feature, and maintenance feature as the training set and bring it into the fault prediction model for training; use the trained fault prediction model to output the fault prediction time point;

[0068] The data evaluation unit is configured with a data evaluation strategy. The data evaluation strategy includes performing a life cycle assessment on the facility based on the real-time efficiency, utilization rate, and fault prediction time point of the facility to obtain the life cycle progress of the facility;

[0069] The life cycle assessment includes when performing the life cycle assessment, setting the facility that needs to be assessed for the life cycle as the target facility, and based on the type and category of the target facility, obtaining the asset data of the historical facilities of the same type and category as the target facility from the database. The historical facilities are the facilities that have completed the life cycle; obtain the total life cycle cost of the historical facility from the asset data of the historical facility, and refer to the total life cycle cost, which includes the acquisition cost, maintenance cost, and energy consumption cost of the historical facility;

[0070] Obtain the acquisition cost, real-time maintenance cost, and real-time energy consumption cost of the target facility, and set the sum of the acquisition cost, real-time maintenance cost, and real-time energy consumption cost of the target facility as the real-time life cycle cost of the target facility;

[0071] Set the ratio of the real-time life cycle cost of the target facility to the reference life cycle cost as the life cycle progress;

[0072] The data management module is used to uniformly manage the asset data based on the evaluation results and establish a database. Establishing the database includes storing structured data using a relational database, storing real-time data and log data using a non-relational database. The structured data includes basic information and the category of the facility, and the real-time data and log data include status information and dynamic information.

[0073] In the embodiments provided in the present application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation. For another example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some communication interfaces. The indirect coupling or communication connection of systems, modules, and units can be electrical, mechanical, or other forms.

[0074] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A smart park asset data management method for unified management, characterized in that: The steps include: Digitally collect asset data to obtain basic information, status information and dynamic information; Based on the basic information of asset data, the asset data is divided into facilities to obtain the categories of asset data; Establish database; Analyze and evaluate asset data based on its category, status information and dynamic information; Unified management of asset data based on assessment results.

2. The smart park asset data management method for unified management according to claim 1, characterized in that: The digital collection of asset data to obtain basic information, status information and dynamic information includes the following sub-steps: Sensors are installed on the facilities in the park, and the sensors are used to collect the status of the facilities in real time, including the operating time, fault conditions and energy consumption cost of the facilities; Import basic information and maintenance data of facilities in the park from the existing asset management system, the maintenance data includes maintenance cost and maintenance time point; the basic information of the facilities includes the location, type, purchase cost and purchase date of the facilities, and set the difference between the current date and the purchase date as the purchase duration; The operating time and purchase time of the park facilities are set as status information, and the fault conditions, energy consumption costs and maintenance data are set as dynamic information.

3. The smart park asset data management method for unified management according to claim 2 is characterized in that: The method of dividing the asset data into facilities based on the basic information of the asset data to obtain the categories of the asset data includes obtaining the location of the facility from the basic information, dividing the facility into indoor facilities and outdoor facilities based on the location; The facility division includes obtaining a park plan, constructing a three-dimensional model of the park based on BIM technology, setting the building area in the three-dimensional model as an indoor area, setting other areas in the three-dimensional model as outdoor areas, obtaining the location information of any facility, marking the facility in the three-dimensional model of the park, setting the facility as an indoor facility when the facility is in the indoor area, and setting the facility as an outdoor facility when the facility is in the outdoor area.

4. The smart park asset data management method for unified management according to claim 3 is characterized in that: The establishment of the database includes using a relational database to store structured data and using a non-relational database to store real-time data and log data, wherein the structured data includes basic information and categories of facilities, and the real-time data and log data include status information and dynamic information.

5. The smart park asset data management method for unified management according to claim 4 is characterized in that: The analysis and evaluation of asset data based on the category, status information and dynamic information of the asset data includes the following sub-steps: Obtain the status information of the facility from the database, perform efficiency calculation on the status information of the facility, and obtain the real-time efficiency and utilization rate of the facility; The efficiency calculation includes obtaining the operation time, purchase time and energy consumption cost of the facility from the status information and dynamic information of the database, setting the ratio of the operation time of the facility to the energy consumption cost as the real-time efficiency of the facility, and setting the ratio of the operation time to the purchase time as the utilization rate of the facility; Obtain the historical dynamic information of the facility from the database, perform fault prediction on the facility based on the historical dynamic information, and obtain the fault prediction time point; The life cycle of the facility is evaluated based on the real-time efficiency, utilization rate and failure prediction time point of the facility to obtain the life cycle progress of the facility.

6. The smart park asset data management method for unified management according to claim 5, characterized in that: The fault prediction includes obtaining the historical fault conditions and maintenance data of the facility from a database, obtaining the fault time point and the operation time of the facility when the fault occurs based on the historical fault conditions, setting the fault time point as the fault time feature, and setting the operation time of the facility when the fault occurs as the fault operation feature; The interval duration between adjacent maintenance time points is set as the maintenance interval duration, the maintenance interval duration is obtained, and the maintenance interval is set as a maintenance feature; Build a fault prediction model, set the fault time characteristics, fault operation characteristics and maintenance characteristics as the training set and bring them into the fault prediction model for training; use the trained fault prediction model to output the fault prediction time point.

7. The smart park asset data management method for unified management according to claim 6, characterized in that: The life cycle assessment includes setting the facility that needs to be assessed for life cycle as the target facility when conducting the life cycle assessment, and obtaining the asset data of historical facilities of the same type and category as the target facility from the database based on the type and category of the target facility, wherein the historical facility is a facility that has completed its life cycle; obtaining the full life cycle cost of the historical facility from the asset data of the historical facility, and referring to the full life cycle cost, wherein the reference full life cycle cost includes the purchase cost, maintenance cost, and energy consumption cost of the historical facility; Obtaining the purchase cost, real-time maintenance cost and real-time energy consumption cost of the target facility, and setting the sum of the purchase cost, real-time maintenance cost and real-time energy consumption cost of the target facility as the real-time life cycle cost of the target facility; The ratio of the target facility's real-time life cycle cost to the reference life cycle cost is set as the life cycle schedule.

8. A smart park asset data management system for unified management, used to implement the smart park asset data management method for unified management as described in any one of claims 1 to 7, characterized in that: The system includes a data acquisition module, a data classification module, a data analysis module and a data management module; The data acquisition module is used to digitally collect asset data to obtain basic information, status information and dynamic information; the data classification module divides the asset data into facilities based on the basic information of the asset data to obtain the category of the asset data; the data analysis module analyzes and evaluates the asset data based on the category, status information and dynamic information of the asset data; the data management module is used to uniformly manage the asset data and establish a database based on the evaluation results.

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