CN114548445A - Building operation and maintenance management system based on real-time feedback - Google Patents
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Abstract
The invention discloses a building operation and maintenance management system based on real-time feedback, which comprises: the system comprises a data collection module for acquiring real-time feedback, a database module for storing operation and maintenance strategies, and a calculation matching module for matching the operation and maintenance strategies in the database according to the real-time feedback; the real-time feedback comprises: user feedback, device feedback, property feedback, and sensor feedback. The user feedback comprises natural language information which is published publicly when the user uses the social product and relates to building operation and maintenance feedback. The invention provides a basic operation and maintenance scheme capable of giving out inherent buildings according to the types and the types of the buildings, continuously perfects an operation and maintenance strategy on the basis of self-learning of building body data and real-time feedback information, particularly the real-time feedback information of a user, controls facilities and equipment according to a global optimal operation and maintenance strategy, and reminds maintenance personnel to patrol, maintain and repair various equipment in the building in time to realize the optimal operation of the buildings.
Description
Technical Field
The invention relates to the technical field of building operation and maintenance, in particular to a building operation and maintenance management system based on real-time feedback.
Background
The technical foundation of the intelligent building mainly comprises a modern building technology, a modern computer technology, a modern communication technology and a modern control technology. The building intelligence degree is gradually improved along with the development of science and technology. The intelligent building is generated along with the requirements of human beings on information exchange, safety, comfort, convenience and energy conservation inside and outside the building. The intelligent building and energy-saving industry emphasizes user experience and has endogenous development power. Building intellectualization can improve user work efficiency, promotes building suitability, reduces use cost, has become the development trend. In practical application, building intellectualization can be realized through a building operation and maintenance management platform.
On one hand, the intelligent building operation and maintenance system in the prior art cannot provide reasonable operation and maintenance suggestions from a professional perspective, can only finish data integration, centralized data display and repair analysis of each sensor independently, cannot provide an operation and maintenance scheme of a whole building system, cannot find the operation and maintenance problems of a building in real time according to real-time data and provide an optimization strategy, and causes the problems of low efficiency of operation and maintenance and low environmental quality of the existing intelligent building, particularly in aspects of building resource saving, environmental quality, building convenience and the like; on the other hand, feedback information of actual building users is not paid attention to, feedback channels of users are few, and the feedback information of the users cannot be collected and processed. Moreover, when users communicate with each other, for example, when using social products, the relevant statements about the operation and maintenance results of the building are often made, for example, the room temperature and humidity are not appropriate, the water and heat supply is problematic, the air quality of the room is poor, and the prior art is often unable to provide feedback to the users.
Disclosure of Invention
In order to solve the technical problems, the invention provides a basic operation and maintenance scheme capable of giving out the inherent buildings according to the types of the buildings and the types of the systems, continuously perfects the operation and maintenance strategy through self-learning of the data of the building body and real-time feedback information on the basis, controls facilities and equipment according to the global optimal operation and maintenance strategy, and reminds maintenance personnel to carry out patrol, maintenance and repair on various equipment in the building in time so as to achieve the purpose of optimal operation of the buildings.
In order to realize the purpose of the invention, the following technical scheme is provided:
a building operation and maintenance management system based on real-time feedback comprises:
the system comprises a data collection module for acquiring real-time feedback, a database module for storing operation and maintenance strategies, and a calculation matching module for matching the operation and maintenance strategies in the database according to the real-time feedback;
the real-time feedback comprises: user feedback, device feedback, property feedback, and sensor feedback.
In some preferred embodiments, the user feedback includes natural language information about building operation and maintenance feedback published when the user uses the social product.
In some preferred embodiments, after obtaining the user feedback, the data collection module extracts keywords and marks trends, a memory association mode is adopted to construct a B/S memory keyword cloud, and a principal component calculation method and weight analysis are utilized to extract specific keywords related to equipment or conditions.
In some preferred embodiments, the calculation matching module includes a frequency statistics unit, an operation and maintenance strategy matching unit, and an equipment regulation and control unit;
the frequency counting unit is used for counting the occurrence frequency of the specific keywords in a preset time, and sending the specific keywords with the occurrence frequency exceeding a preset number limit and the tendency of the specific keywords to the operation and maintenance strategy matching unit;
the operation and maintenance strategy matching unit is set to obtain an operation and maintenance conclusion according to the specific keywords and the trends thereof, match the optimal operation and maintenance strategy in the database module according to the operation and maintenance conclusion, and send the optimal operation and maintenance strategy to the equipment regulation and control unit;
the equipment regulating and controlling unit is set to regulate and control the equipment according to the optimal operation and maintenance strategy.
In some preferred embodiments, the operation and maintenance strategy matching unit further includes an optimal operation and maintenance strategy BP neural network model trained by historical real-time feedback and a historical optimal operation and maintenance strategy;
the method for matching the optimal operation and maintenance strategy in the database module according to the operation and maintenance conclusion comprises the following steps:
and taking the operation and maintenance conclusion as the input of the BP neural network model of the optimal operation and maintenance strategy, outputting an operation and maintenance strategy prediction result, taking the operation and maintenance strategy prediction result as an individual fitness value by using a genetic algorithm extremum optimization method, and searching the optimal operation and maintenance strategy through selection, intersection and variation operations.
In some preferred embodiments, after obtaining the operation and maintenance conclusion, the operation and maintenance strategy matching unit performs rechecking and judgment on the operation and maintenance conclusion according to the equipment feedback, the property feedback and the sensor feedback, and lists possible reasons for the operation and maintenance conclusion; and after the optimal operation and maintenance strategy is obtained, matching a re-checking operation and maintenance strategy in the database module according to the possible reasons, comparing the re-checking operation and maintenance strategy with the optimal operation and maintenance strategy, and reporting an error if the re-checking operation and maintenance strategy and the optimal operation and maintenance strategy have opposite operations on the same object.
In some preferred embodiments, the operation and maintenance strategy includes regulation and control schemes and inspection, maintenance and repair schemes for various devices in the building.
Advantageous effects
The invention provides a basic operation and maintenance scheme capable of giving out inherent buildings according to the types and the types of the buildings, continuously perfects an operation and maintenance strategy on the basis of self-learning of building body data and real-time feedback information, particularly the real-time feedback information of a user, controls facilities and equipment according to a global optimal operation and maintenance strategy, and reminds maintenance personnel to patrol, maintain and repair various equipment in the building in time to realize the optimal operation of the buildings.
Drawings
FIG. 1 is a schematic diagram of the system components in a preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of the system components in another preferred embodiment of the present invention;
FIG. 3 is a schematic code diagram of a BP neural network model using MATLAB to implement an optimal operation and maintenance strategy in a preferred embodiment of the present invention;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described with reference to the accompanying drawings. In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
A building operation and maintenance management system based on real-time feedback, as shown in fig. 1, comprising: the system comprises a data collection module for acquiring real-time feedback, a database module for storing operation and maintenance strategies, and a calculation matching module for matching the operation and maintenance strategies in the database according to the real-time feedback; the real-time feedback comprises: user feedback, device feedback, property feedback, and sensor feedback.
The operation and maintenance strategies stored in the database module comprise basic operation and maintenance schemes capable of giving out inherent buildings according to the types of the buildings and the types of the systems, and optimal operation and maintenance schemes accumulated in subsequent use. Therefore, a feasible basic scheme can be provided for operation and maintenance personnel at the initial operation stage of the building when the historical samples are few, and the operation and maintenance strategy can be updated according to the historical feedback data and the operation and maintenance strategy data after the building operates for a period of time. It should be understood that the operation and maintenance strategy includes regulation schemes and inspection, maintenance and repair schemes for various devices in the building.
The building types can be clustered according to operation and maintenance states and are divided into office buildings, commercial buildings, hotel buildings and the like; according to the building system clustering, the method can be subdivided into the following steps: building systems, heating and ventilation systems, electrical systems, water supply and drainage systems, and other systems; then, the system is classified according to the subsystems forming the system, and the building system can be divided into: building walls, building doors and windows, building sun-shading and building greening; the heating and ventilation system comprises: the system comprises an air conditioner host, a cooling tower, a transmission and distribution system and an air conditioner tail end; the electrical system is divided into: power supply and distribution room, lighting system, light current intellectualization, power equipment and terminal socket equipment; the water supply and drainage system comprises: water supply and drainage equipment, water supply and drainage metering, a water supply and drainage pipe network, a tail end water using appliance, a reclaimed water system and a rainwater system; other systems are divided into: solar energy system, wind-force system, heat pump system. It should be understood that the above classification method can be determined by those skilled in the art according to actual situations in the field, and the classification is aimed at establishing a corresponding operation and maintenance policy base according to different systems.
The operation and maintenance strategy refers to various strategy schemes involved in daily operation and maintenance of the building, and mainly comprises the following steps: basic regulations, management systems, equipment basic management schemes, environment basic patrol schemes and the like, wherein the basic regulations and the management systems comprise personnel allocation, post responsibility, purposes, processes, system effects and the like. The basic management scheme of the equipment mainly provides detailed use, operation, maintenance and management modes, patrol time and patrol main concerns for different technical equipment and components of different systems, and for example, in the basic scheme of air conditioner host equipment-water chilling unit, basic schemes are provided for host on-off time, maintenance position and period, unit operation setting parameters and unit basic linkage control. It should be understood that the regulatory policies, such as the basic rules and regulations, are generally small in variation and will not change after the building is put into use, and therefore, in some preferred embodiments, the operation and maintenance policies mainly include the control schemes and the inspection, maintenance and repair schemes of each device in the building.
Further, the user feedback comprises feedback information which is sent by the user in a public way and is related to building operation and maintenance, and the user feedback can be collected by setting a special user feedback channel through which the user directly feeds back suggestions or opinions to the system; the method can also be collected by questionnaire survey and other methods; the equipment feedback comprises running state information of various machine equipment designed in the building operation and maintenance environment, and the running state information of the equipment can be collected through the equipment of the Internet of things carried by the equipment or the equipment of the Internet of things additionally arranged subsequently; the property feedback comprises feedback information which is collected and/or sent by a building management property in a public mode and is related to building operation and maintenance, the collection of the property feedback can be to establish a special feedback channel, and property personnel can feed back the operation condition of the building through the channel; the sensor feedback comprises environmental information sent by various sensors arranged in the building, the sensors comprise sensors used for monitoring the operation result and the operation state of equipment, environmental sensors inside and outside the building, various safety and environmental video monitoring sensors and the like. It should be understood that the data collection module has various collection modes for the feedback information, and the data collection module is not described in detail since it is not a main focus area of the present invention.
According to the building operation and maintenance management system based on real-time feedback, provided by the invention, real-time feedback data of equipment, users and the like are collected, and a global optimal operation and maintenance strategy is matched in a plurality of operation and maintenance strategies stored in the database module, so that a solution is quickly given, the problems existing in the current operation and maintenance are responded, and operation and maintenance personnel or control equipment are reminded to solve the operation and maintenance problems.
In some preferred embodiments, in order to make the feedback experience of the user better and avoid the user from being prone to not feedback due to a complicated fixed channel feedback mode, a more convenient user feedback collection mode is considered, that is, natural language information about building operation and maintenance feedback published by the user when the user uses a social product is collected. It should be understood that the social products include, but are not limited to, BBS, instant messaging software, mail, and the like. There are many methods for collecting natural language information about building operation and maintenance feedback, for example, a natural language collecting robot may be provided to process information published by a user. In some preferred embodiments, an example of processing collected building operation and maintenance feedback information published by users in public is provided, including:
and after the data collection module acquires the user feedback, extracting keywords and marking trends, constructing a B/S memory keyword cloud by adopting a memory association mode, and extracting specific keywords related to equipment or conditions by utilizing a principal component calculation method and weight analysis. The invention is further illustrated below with reference to specific examples:
firstly, establishing a corpus, extracting related corpora from historical data and manually labeling trends of the related corpora in advance, wherein the trends are as follows: in the sentence, the words such as air conditioner, cold and the like are marked as building hot environment; the words "light", "flashing", etc. are labeled as "architectural light environment". Secondly, as the sentences in the social product are short and can be generally expressed by using a few or more than ten characters, the objects, the words and the sentences are associated in a memory structure form by considering the memory association mode, a B/S memory keyword cloud is established, and when memory associated phrases appear for many times, phrase spaces of the memory associated phrases are crossed in a certain structure in the B/S memory keyword cloud. Then, a weight analysis method, such as a TextRank method, is adopted to calculate the weight, and keywords are extracted by matching with a principal component algorithm, so that the error of non-keywords is reduced, and specific keywords related to related objects or conditions are obtained. If the fact that people are cold today and sit on a stool to be frozen is published in a social software group, the feedback is basically locked to be related to the building thermal environment, the building thermal environment is marked as the trend, two specific keywords of the key words of cold and frozen are extracted, the rest non-keywords are removed through a main component method, the two specific keywords of cold and frozen are related in a memory structure form, a B/S memory keyword cloud is established, other users in the social software also mention other related or unrelated keywords, and the expressions such as the fact that the other users are very cold and want to eat baked sweet potatoes fall into the B/S memory keyword cloud and are also used as the specific keywords.
After the specific keywords are obtained, matching of the operation and maintenance strategies can be carried out on the database module. In some preferred embodiments, as shown in fig. 2, a specific matching example is also given:
the calculation matching module comprises a frequency statistics unit, an operation and maintenance strategy matching unit and an equipment regulation and control unit;
the frequency counting unit is used for counting the occurrence frequency of the specific keywords in a preset time, and sending the specific keywords with the occurrence frequency exceeding a preset number limit and the tendency of the specific keywords to the operation and maintenance strategy matching unit; taking the foregoing specific example as an example, when the specific keywords such as "cold" and "building hot environment" occur frequently, if the frequency reaches the statistical number limit, the specific keywords are "cold", and the specific keywords are "building hot environment", and the tendency is sent to the operation and maintenance policy matching unit;
the operation and maintenance strategy matching unit is set to obtain an operation and maintenance conclusion according to the specific keywords and the trends thereof, match the optimal operation and maintenance strategy in the database module according to the operation and maintenance conclusion, and send the optimal operation and maintenance strategy to the equipment regulation and control unit; the equipment regulating and controlling unit is set to regulate and control the equipment according to the optimal operation and maintenance strategy. Taking the foregoing specific example as an example, an operation and maintenance conclusion of "environmental temperature decrease" in the "building thermal environment" is obtained according to the specific keywords and the trend, and an optimal operation and maintenance strategy is matched in the database according to the conclusion, where the optimal operation and maintenance strategy includes sending a command to the building equipment related to the "building thermal environment", such as the air conditioning system, and increasing the water temperature or the number of air conditioning systems to an optimal interval to meet the user demand.
It should be understood that the matching method of the optimal operation and maintenance strategy may be designed by those skilled in the art according to the actual situation in the field, for example, it may be a weight matching method or a keyword matching method, and in other preferred embodiments, a preferred matching method is further provided, including:
the operation and maintenance strategy matching unit also comprises an optimal operation and maintenance strategy BP neural network model which is trained through historical real-time feedback and a historical optimal operation and maintenance strategy; the optimal operation and maintenance strategy BP neural network model is constructed according to the characteristics of an optimization function, and a nonlinear function mode is adopted during training, wherein the optimal function takes energy consumption and environment as guidance, and the purpose of improving user experience is achieved, so that a predicted value with the highest score is obtained;
the method for matching the optimal operation and maintenance strategy in the database module according to the operation and maintenance conclusion comprises the following steps:
and taking the operation and maintenance conclusion as the input of the BP neural network model of the optimal operation and maintenance strategy, outputting an operation and maintenance strategy prediction result, taking the operation and maintenance strategy prediction result as an individual fitness value by utilizing a genetic algorithm extremum optimization method, and searching the optimal operation and maintenance strategy through selection, intersection and variation operations. A specific example is given below:
taking an operation and maintenance strategy related to an air conditioning system in a building as an example, wherein the on-off time of an air conditioning unit is an important component of the operation and maintenance strategy, and when the outdoor average temperature is lower than X degrees for X days continuously and the indoor average temperature is lower than X degrees, the operation and maintenance strategy at the moment is to start a heat supply source in the building to supply heat. When the building is delivered and then runs for the first time, firstly, according to a fixed scheme, the method comprises the following steps: the average outdoor temperature is lower than 14 ℃ for 5 days, the average indoor temperature is lower than 18 ℃, and a system heat supply source is started. After one year of operation, correction calculation is carried out by a BP neural network self-learning method according to the guidance of the time and the temperature of the air conditioner to obtain the optimal solution of the personnel environment comfort level and the indoor energy consumption. At this time, energy consumption and corresponding environment indexes are quantized, energy consumption scores (in percentage) after energy consumption of unit area and unit number are quantized are obtained, environment scores (in percentage) are obtained through quantizing environment indexes (thermal environment indoor evaluation indexes are objective scores-temperature, humidity and subjective scores-personnel questionnaires), and final scores are obtained through a hierarchical analysis method, so that when an air conditioner is started, the optimal environment and the optimal energy loop can be obtained.
The BP neural network is constructed according to the scheme, energy consumption and environment index data are normalized, 90% of data in historical data are used for training, 10% of data are used for testing the fitting performance of the BP neural network, the working state of the network is dynamically adjusted in the optimization process, and when the state of the system tends to be stable, the output result is the solution of the optimization problem. It should be understood that BP neural network calculations may be implemented by MATLAB. The specific code is shown in FIG. 3; and finally, according to the output result of the neural network, when the outdoor temperature of the building is lower than 10 ℃ for 2 consecutive days and the indoor average temperature is lower than 14 ℃, a heat supply source in the building is started to supply heat, the energy consumption and environment score is the highest and is 95 minutes, and the scheme is used as an optimal operation and maintenance strategy to replace the original operation and maintenance scheme.
In other preferred embodiments, special situations that the feedback opinions of the user in the social software may have a deviation of the object (for example, when the user is in a state of good and cold, the object for which the user aims may be the object own home instead of the building), the device has a fault, and the like are considered, and then a review step for the optimal operation and maintenance strategy is considered to be added, which specifically includes:
after the operation and maintenance strategy matching unit obtains an operation and maintenance conclusion, rechecking and judging the operation and maintenance conclusion according to the equipment feedback, the property feedback and the sensor feedback, and listing possible reasons for the operation and maintenance conclusion; and after the optimal operation and maintenance strategy is obtained, matching a re-checking operation and maintenance strategy in the database module according to the possible reasons, comparing the re-checking operation and maintenance strategy with the optimal operation and maintenance strategy, and reporting an error if the re-checking operation and maintenance strategy and the optimal operation and maintenance strategy have opposite operations on the same object.
The foregoing example of the user feedback "good and cold" is further explained, according to the category of the operation and maintenance conclusion, possible reasons are analyzed through device feedback, property feedback, and sensor feedback, all possible reasons with the operation and maintenance conclusion are ranked according to the possibility that the possible reasons are ranked from high to low, and all related problems are listed together for the multi-reason operation and maintenance conclusion that cannot be judged. For example, the operational energy efficiency (Coefficient of Performance COP) of the heating and ventilation heat source unit at the moment is read through equipment feedback to be lower than 50% of the rated COP of the unit, and the following problems may occur due to the reason: 1) the operation parameters of the water chilling unit are not in the efficient operation range of the equipment, for example, the designed water supply temperature is 7 ℃, and the actual operation temperature is 5 ℃;
2) a water valve of the refrigeration unit which does not operate is not closed, so that bypass is caused; 3) the temperature difference of water supply and return of the air conditioning system is low (lower than 5 ℃), so that large-flow small-temperature-difference operation is caused, and the energy consumption of a water pump is increased; 4) the water chilling units are not controlled in a group mode, the number of the started water chilling units is controlled by managers through experience, and 4) the running time of a plurality of hosts is not reasonably distributed, and the running efficiency of part of hosts runs for a long time, so that the difference of the running efficiency among the hosts is large. 5) Under part load, no strategy is considered for increasing the chilled water supply water temperature.
According to the problems, further judgment is carried out through sensor feedback, firstly, temperature and humidity, flow sensors and unit power feedback data are extracted, and the number of units in operation and the current indoor cooling load are determined; and then deviation feedback is carried out through design basic data and the existing temperature and humidity sensor data according to the first problem, a valve opening signal of the bypass valve is fed back according to the first problem, and the actual supply and return temperature is obtained through subtraction according to the supply and return water temperature and is compared with the fixed scheme value. And by analogy, judging whether problems exist according to all the sensors, and if the problems exist, sequencing the problems according to the deviation degree percentage. And matching and rechecking the operation and maintenance strategy in the database module according to the problem sequence, and if the set temperature does not meet the design requirement, informing property personnel of setting the parameters of the equipment, automatically controlling the protocol intercommunication equipment and setting the water temperature as the design value. At this time, the operation of the same object in the rechecking operation and maintenance strategy is the same as that in the optimal operation and maintenance strategy (note that the "same operation" here only means that the operation is the operation of raising the temperature, and the specific temperature raising value is not in the considered range), which means that the optimal operation and maintenance strategy is effective and no error is reported. If the operation of the re-checking operation and maintenance strategy and the operation of the optimal operation and maintenance strategy on the same object are opposite (if the optimal operation and maintenance strategy is to adjust the temperature value to a high value, and the re-checking operation and maintenance strategy is to adjust the temperature value to a low value), an error needs to be reported, so that the operation and maintenance personnel can conveniently perform manual checking and problem handling.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A building operation and maintenance management system based on real-time feedback is characterized by comprising:
the system comprises a data collection module for acquiring real-time feedback, a database module for storing operation and maintenance strategies, and a calculation matching module for matching the operation and maintenance strategies in the database according to the real-time feedback;
the real-time feedback comprises: user feedback, device feedback, property feedback, and sensor feedback.
2. The building operation and maintenance management system based on real-time feedback as claimed in claim 1, wherein:
the user feedback comprises natural language information which is published publicly when the user uses the social product and relates to building operation and maintenance feedback.
3. The building operation and maintenance management system based on real-time feedback according to claim 2, characterized in that: and after the data collection module acquires the user feedback, extracting keywords and marking trends, constructing a B/S memory keyword cloud by adopting a memory association mode, and extracting specific keywords related to equipment or conditions by utilizing a principal component calculation method and weight analysis.
4. The building operation and maintenance management system based on real-time feedback as claimed in claim 3, wherein:
the calculation matching module comprises a frequency statistics unit, an operation and maintenance strategy matching unit and an equipment regulation and control unit;
the frequency counting unit is used for counting the occurrence frequency of the specific keywords in a preset time, and sending the specific keywords with the occurrence frequency exceeding a preset number limit and the tendency of the specific keywords to the operation and maintenance strategy matching unit;
the operation and maintenance strategy matching unit is set to obtain an operation and maintenance conclusion according to the specific keywords and the trends thereof, match the optimal operation and maintenance strategy in the database module according to the operation and maintenance conclusion, and send the optimal operation and maintenance strategy to the equipment regulation and control unit;
the equipment regulating and controlling unit is set to regulate and control the equipment according to the optimal operation and maintenance strategy.
5. The real-time feedback-based building environment operation and maintenance management system of claim 4, wherein: the operation and maintenance strategy matching unit also comprises an optimal operation and maintenance strategy BP neural network model which is trained through historical real-time feedback and a historical optimal operation and maintenance strategy;
the method for matching the optimal operation and maintenance strategy in the database module according to the operation and maintenance conclusion comprises the following steps:
and taking the operation and maintenance conclusion as the input of the BP neural network model of the optimal operation and maintenance strategy, outputting an operation and maintenance strategy prediction result, taking the operation and maintenance strategy prediction result as an individual fitness value by utilizing a genetic algorithm extremum optimization method, and searching the optimal operation and maintenance strategy through selection, intersection and variation operations.
6. The real-time feedback-based building environment operation and maintenance management system of claim 4, wherein: after the operation and maintenance strategy matching unit obtains an operation and maintenance conclusion, rechecking and judging the operation and maintenance conclusion according to the equipment feedback, the property feedback and the sensor feedback, and listing possible reasons for the operation and maintenance conclusion; and after the optimal operation and maintenance strategy is obtained, matching a re-checking operation and maintenance strategy in the database module according to the possible reasons, comparing the re-checking operation and maintenance strategy with the optimal operation and maintenance strategy, and reporting an error if the re-checking operation and maintenance strategy and the optimal operation and maintenance strategy have opposite operations on the same object.
7. The building operation and maintenance management system based on real-time feedback as claimed in claim 1, wherein: the operation and maintenance strategy comprises a regulation and control scheme and a patrol, maintenance and repair scheme of each device in the building.
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