Centralized heating boiler energy-saving control method and system based on complaint information

Abstract

The invention discloses a centralized heating boiler energy-saving control method and system based on complaint information, and relates to the technical field of air conditioning, and the method comprises the steps that complaint information of a terminal user and flow data of a heat exchange station are obtained; performing heat consumption problem analysis on the complaint information to obtain a first heat consumption problem analysis result; and performing heat consumption problem analysis on the flow data based on the first heat consumption problem analysis result to obtain a second heat consumption problem analysis result, and controlling the heat supply boiler according to the second heat consumption problem analysis result to reduce the energy consumption of the heat supply boiler. According to the method, the community with the heat consumption problem is quickly positioned by judging the complaint information of the terminal user, and the community with the heat consumption problem is verified by utilizing the flow data of the heat exchange station, so that the positioning accuracy is improved, and the energy consumption is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to a method and system for controlling energy conservation of a centralized heating boiler based on complaint information. Background Art

[0002] As the core component of the central heating system, the heating boiler provides users with a comfortable living environment in the cold winter by supplying hot water to end users. With the improvement of living standards and the increase in people's demand for comfort, central heating technology has been gradually promoted from northern my country to southern China and has been widely recognized. As an efficient air-conditioning technology, central heating dissipates the heat of hot water into the air through heat diffusion to achieve indoor temperature regulation. At present, my country's central heating system is usually divided according to fixed geographical areas, and each area is managed by one or several heating companies. In the heating season, these companies use boilers to provide hot water to heat exchange stations in multiple communities in the area, and the heat exchange stations then exchange heat according to community needs. Heat is exchanged and ultimately delivered to end users, ensuring that the indoor temperature of end users reaches the predetermined standard. However, although the hot water temperature output by the heating company through the pipeline network is the same, due to differences in pipeline network length and insulation effect factors, the actual water temperature arriving at different heat exchange stations may be significantly different. At the same time, due to the different insulation performance and heat conduction characteristics of buildings in different communities, even if the same amount of heat is input, the room temperature felt by the end user will be different. If the heating company blindly increases the temperature of the boiler, it will not only lead to energy waste, but may also cause overheating in other areas. Therefore, the heating company has never been able to accurately control the indoor temperature of the end user, and the existing centralized heating system is in urgent need of improvement and innovation.

[0003] The current common solutions have many shortcomings. First, the existing system lacks an effective user feedback mechanism and data analysis capabilities, and is unable to promptly discover and solve problems that arise during the heating process. User complaint information is often not systematically analyzed and utilized, resulting in inefficient problem solving and difficulty in improving user satisfaction. Second, due to the inability to accurately control the amount of heat supplied, heating companies often adopt a "better more rather than less" strategy, resulting in a large amount of heat energy waste and low energy efficiency. Summary of the invention

[0004] In view of the lack of effective user feedback mechanism and data analysis capabilities in the prior art when adjusting the heating boiler, user complaint information cannot be systematically analyzed and utilized, resulting in inefficient problem solving, heating companies often adopt a "better more than less" strategy, and low energy utilization efficiency, the present invention is proposed.

[0005] Therefore, the problem to be solved by the present invention is how to provide a method for screening out communities with heating problems by judging the complaint information of terminal users, and verifying the communities with heating problems by using the flow data of the heat exchange station, further locating the communities with heating problems, improving the accuracy of positioning, and reducing energy consumption.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides an energy-saving control method for a centralized heating boiler based on complaint information, which includes obtaining complaint information from terminal users and flow data of a heat exchange station; performing a heat usage problem analysis on the complaint information to obtain a first heat usage problem analysis result; performing a heat usage problem analysis on the flow data based on the first heat usage problem analysis result to obtain a second heat usage problem analysis result, and controlling the heating boiler according to the second heat usage problem analysis result to reduce the energy consumption of the heating boiler.

[0008] As a preferred solution of the energy-saving control method for centralized heating boilers based on complaint information described in the present invention, wherein: the complaint information includes a community name and a fault description, and the complaint information of terminal users on indoor temperature is collected from multiple channels by utilizing a complaint information collection unit; the sources of complaint information include the complaint page of the heating enterprise, the complaint records fed back by the customer service personnel of the heating enterprise, the complaint records fed back by government units, and the complaint records fed back by the property service enterprises of the community; the community name is determined by the information fed back by the terminal user; the fault description is composed of a text description of the fault condition by the terminal user, including temperature not meeting the standard, pipe leakage and pipe blockage; the flow data includes real-time flow data and designed maximum flow data of each heat exchange station collected by the heat exchange data collection unit.

[0009] As a preferred solution of the energy-saving control method for centralized heating boilers based on complaint information described in the present invention, the first heat use problem analysis result includes the following steps: using a boiler control unit to analyze and process the complaint information, extracting the community name and the fault description; performing keyword extraction on the fault description to obtain a corresponding extracted feature vector; calculating the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word; performing keyword judgment based on the Euclidean distance, if the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word is less than the distance threshold, then the keyword is determined to be the same as the standard word, and the complaint type of the standard word is used as the complaint type of the keyword; if the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word is ≥ the distance threshold, then the keyword is determined to be different from the standard word; counting the complaint types of all keywords in the complaint information, if there is no keyword that is the same as the standard word in the complaint information, then the corresponding complaint information is determined to be invalid; if there is only one keyword that is the same as the standard word in the complaint information, then the complaint type of the corresponding keyword is used as the complaint the complaint type of the information; if there are multiple keywords in the complaint information that are the same as the standard words, the complaint types of all keywords are counted, and the complaint type with the largest number is used as the complaint type of the corresponding complaint information; the complaint type of the complaint information is judged, if the complaint type of the complaint information is that the temperature does not meet the standard, the community with heating problems is determined based on the corresponding community name, and the first heating problem analysis result is obtained, and the real-time flow data and the designed maximum flow data of the corresponding heat exchange station are called according to the preset correspondence between the heat exchange station and the community name, and the boiler control unit is made to feedback the corresponding reply information to the channel that collects the complaint information according to the complaint type to which the complaint information actually belongs; if the complaint type of the complaint information is indoor pipeline failure, the boiler control unit is made to feedback the corresponding reply information to the channel that collects the complaint information according to the complaint type to which the complaint information actually belongs; if the complaint type of the complaint information is outdoor pipeline failure, the boiler control unit is made to feedback the corresponding reply information to the channel that collects the complaint information according to the complaint type to which the complaint information actually belongs.

[0010] As a preferred solution of the energy-saving control method for centralized heating boilers based on complaint information described in the present invention, wherein: based on the first heat problem analysis result, the flow data is analyzed for heat problems to obtain a second heat problem analysis result, and the heating boiler is controlled according to the second heat problem analysis result to reduce the energy consumption of the heating boiler, including the following steps: based on the first heat problem analysis result, the flow data of the community with heat problems is called to obtain the real-time flow data and the designed maximum flow data of the heat exchange station; the real-time flow data is compared with the designed maximum flow data, and if the real-time flow data = the designed maximum flow data, it is determined that the corresponding community has heat problems. problem, that is, obtaining the second heat use problem analysis result, and using the boiler control unit to increase the boiler outlet water temperature or flow rate; if the real-time flow data is less than the designed maximum flow data, it is determined that the corresponding community does not have a heat use problem, and the boiler control unit is used to feedback the corresponding solution to the channel for collecting the complaint information; for communities without heat use problems, the boiler control unit is used to judge the set ratio of the real-time flow data and the designed maximum flow data. If the real-time flow data is less than the set ratio of the designed maximum flow data, the heat of the heat exchange station is reduced; if the real-time flow data is greater than or equal to the set ratio of the designed maximum flow data, the existing configuration is maintained unchanged.

[0011] As a preferred solution of the energy-saving control method for centralized heating boilers based on complaint information described in the present invention, wherein: the set ratio is achieved by utilizing the boiler control unit to control the boiler outlet water at different temperatures and flow rates, adjusting the valve opening of the terminal users in the community, and measuring the indoor temperature of the terminal users. When the indoor temperature reaches the minimum set temperature, the ratio of the current real-time flow data of the heat exchange station to the corresponding design maximum flow data is used as the set ratio.

[0012] As a preferred solution of the energy-saving control method for a centralized heating boiler based on complaint information described in the present invention, the complaint types include temperature failure, indoor pipeline failure and outdoor pipeline failure.

[0013] As a preferred scheme of the energy-saving control method of centralized heating boiler based on complaint information described in the present invention, wherein: the temperature not meeting the standard means that after the terminal user pays the heating fee during the heating season, there is water in the indoor pipes but the temperature does not reach T degrees Celsius; the indoor pipe failure means that after the terminal user pays the heating fee during the heating season, the indoor pipes leak or there is no water at all; the outdoor pipe failure means that the outdoor pipes, including the boiler outlet pipe and the pipes of the heat exchange station, leak.

[0014] On the second aspect, in order to further solve the safety problems existing in air conditioning, the present invention provides an energy-saving control system for centralized heating boilers based on complaint information, which includes: a data acquisition module, which is used to obtain complaint information using a complaint information acquisition unit, and obtain flow data of a heat exchange station using a heat exchange data acquisition unit; a complaint analysis module, which is used to analyze the complaint information for heat use problems, screen out communities with heat use problems, and obtain a first heat use problem analysis result; a boiler control module, which is used to obtain flow data of communities with heat use problems based on the first heat use problem analysis result and perform heat use problem analysis on the flow data to obtain a second heat use problem analysis result, and control the heating boiler based on the second heat use problem analysis result.

[0015] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program is executed by the processor, any step of a centralized heating boiler energy-saving control method based on complaint information as described in the first aspect of the present invention is implemented.

[0016] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of a centralized heating boiler energy-saving control method based on complaint information as described in the first aspect of the present invention is implemented.

[0017] The beneficial effects of the present invention are as follows: the present invention judges the complaint information of terminal users, quickly locates the communities with heating problems, and uses the comparative analysis results of the real-time flow data of the heat exchange station and the designed maximum flow data to verify the communities with heating problems, further locates the communities with heating problems, improves the accuracy of positioning, avoids blindly adjusting the temperature of the boiler due to the misoperation of the terminal users, and reduces energy consumption; for communities without heating problems, the flow of the heat exchange station is reduced based on the set ratio, thereby reducing heat waste without affecting other communities, thereby reducing the energy consumption of the heating boiler. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 This is the first heat problem analysis flow chart in Example 1.

[0020] Figure 2 This is the second heat usage problem analysis and heating boiler control flow chart in Example 1. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0022] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0023] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0024] Example 1

[0025] Reference Figure 1 and Figure 2 , which is the first embodiment of the present invention, and provides a method for controlling energy conservation of a central heating boiler based on complaint information, comprising the following steps:

[0026] S1: Obtain complaint information from end users and flow data from heat exchange stations.

[0027] Preferably, the complaint information includes a community name and a fault description, and the complaint information of terminal users on indoor temperature is collected from multiple channels by utilizing a complaint information collection unit, wherein the complaint information collected by the complaint information collection unit meets the requirements of the community name and the fault description in terms of components.

[0028] Specifically, the sources of complaint information include the heating company's complaint page, complaint records reported by the heating company's customer service staff, complaint records reported by government agencies, and complaint records reported by the community's property service companies. The complaint information will be summarized in the heating company, and the heating company will use the application programming interface (API) to access the official website page, customer service feedback page, mayor hotline feedback page, and property service company feedback page. When end users, customer service staff, government staff, and property service personnel report complaint information on the corresponding pages, all complaint information will be collected and eventually transmitted to the boiler control unit.

[0029] Furthermore, the community name is determined by information fed back by end users.

[0030] Furthermore, the fault description consists of a text description of the fault condition by the end user, including substandard temperature, pipe leakage, and pipe blockage.

[0031] Preferably, the flow data includes real-time flow data and designed maximum flow data of each heat exchange station collected by a heat exchange data collection unit.

[0032] Specifically, the heat exchange data collection unit includes a flow meter and a communication unit, wherein the heat exchange data collection unit is arranged in a heat exchange station in each community.

[0033] Furthermore, the flow meter is used to detect real-time flow data and design maximum flow data.

[0034] Furthermore, the communication unit is used to transmit the real-time flow data and the designed maximum flow data to the boiler control unit.

[0035] Specifically, the boiler control unit is set in the heating enterprise. After communicating with the complaint information collection unit and the heat exchange data collection unit, it obtains and processes the complaint information and real-time flow data in real time to obtain the control instructions for the boiler. After the control instructions are sent to the boiler, the boiler's outlet water temperature or flow rate will be adjusted, and then the water temperature in the heat exchange station will be adjusted, ultimately achieving the effect of adjusting the indoor temperature of the end user.

[0036] Preferably, complaint information is collected through multiple channels, including the heating company's complaint page, customer service feedback, government feedback, and property feedback, to ensure the breadth and completeness of information sources, which can fully reflect the user's actual heating needs, help accurately identify problem areas, and thus achieve precise regulation and control, and avoid over- or under-heating due to incomplete information; by combining complaint information and flow data, an organic fusion of subjective feedback and objective data can be achieved, which can more comprehensively and accurately reflect the actual operating conditions of the heating system, improve the accuracy of problem diagnosis and the accuracy of regulation, and avoid misjudgment and unnecessary energy waste that may be caused by a single data source.

[0037] S2: Analyze the heat usage problem of the complaint information to obtain a first heat usage problem analysis result.

[0038] Preferably, Figure 1 The figure shows the implementation process of the first heat problem analysis. Obtaining the first heat problem analysis result includes the following steps: for complaint information with complete content, the boiler control unit is used to analyze and process the complaint information, and the community name and fault description are extracted.

[0039] Extract keywords from the fault description and obtain the corresponding extracted feature vector.

[0040] Calculate the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word. The specific formula is as follows:

[0041]

[0042] Among them, d ij is the Euclidean distance between the i-th extracted feature vector and the standard feature vector of the j-th standard word; v ik is the kth element of the ith extracted feature vector; u jk is the kth element of the standard feature vector of the jth standard word; m is the dimension of the feature vector.

[0043] Keyword judgment is performed based on Euclidean distance. If the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word is less than the distance threshold, the keyword is determined to be the same as the standard word, and the complaint type of the standard word is used as the complaint type of the keyword.

[0044] If the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word is ≥ the distance threshold, it is determined that the keyword is different from the standard word.

[0045] The complaint types of all keywords in the complaint information are counted. If there is no keyword in the complaint information that is identical to the standard word, the corresponding complaint information is deemed invalid.

[0046] If there is only one keyword in the complaint information that is the same as the standard word, the complaint type of the corresponding keyword will be used as the complaint type of the complaint information.

[0047] If there are multiple keywords in the complaint information that are the same as the standard words, the complaint types of all keywords are counted, and the complaint type with the largest number is used as the complaint type of the corresponding complaint information.

[0048] The complaint type of the complaint information is judged. If the complaint type of the complaint information is that the temperature does not meet the standard, the community with heating problems is determined based on the corresponding community name, and the first heating problem analysis result is obtained. The real-time flow data and the designed maximum flow data of the corresponding heat exchange station are called according to the pre-set correspondence between the heat exchange station and the community name, and the boiler control unit is caused to feedback the corresponding reply information to the channel for collecting the complaint information according to the actual complaint type of the complaint information.

[0049] If the complaint type of the complaint information is indoor pipeline failure, the boiler control unit is caused to feed back corresponding reply information to the channel for collecting the complaint information according to the complaint type to which the complaint information actually belongs.

[0050] If the complaint type of the complaint information is an outdoor pipeline failure, the boiler control unit is caused to feed back corresponding reply information to the channel for collecting the complaint information according to the complaint type to which the complaint information actually belongs.

[0051] Specifically, with regard to the distance threshold for judging whether a keyword is the same as a standard word, by collecting a large amount of historical complaint information and drawing a distance distribution graph, observing the distance distribution of correct matches and incorrect matches, and then selecting the value that maximizes the correct matching rate and minimizes the incorrect matching rate as the distance threshold, to ensure the scientific nature and effectiveness of the threshold, and in subsequent operations, periodically adjust the distance threshold using new complaint information to maintain the optimal effect of the distance threshold.

[0052] Preferably, by calculating the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word, intelligent classification of complaint information is achieved, which can not only accurately identify the complaint type, but also handle multiple keyword situations, thereby improving the accuracy and robustness of the analysis. Compared with the traditional keyword matching method, the present invention can better handle complaint information with similar semantics but different expressions, thereby improving the adaptability of the system; by introducing a feature vector matching method based on Euclidean distance, it can not only process standardized complaint descriptions, but also identify complaint information with similar semantics but different expressions, thereby improving the system's adaptability to various fault descriptions and realizing intelligent and efficient complaint analysis.

[0053] Furthermore, the standard words are pre-set by the back-end personnel and can clearly reflect the type of complaint information, such as low temperature and water leakage. The standard feature vectors of the standard words are pre-stored in the storage unit. After the boiler control unit converts the extracted feature vector, it will call all the standard feature vectors from the storage unit, and then calculate the Euclidean distance between the extracted feature vector and the standard feature vector of each standard word in turn.

[0054] Preferably, complaint types include temperature failure, indoor plumbing failure, and outdoor plumbing failure.

[0055] Specifically, temperature failure means that after the end user pays the heating fee during the heating season, there is water in the indoor pipes but the temperature does not reach 18 degrees Celsius.

[0056] Specifically, indoor pipe failure refers to indoor pipes leaking or having no water at all after the end user pays the heating fee during the heating season.

[0057] Specifically, outdoor pipeline failure refers to leakage in outdoor pipelines, including boiler outlet pipes and heat exchange station pipes.

[0058] Furthermore, the response message for temperature failure includes "the water supply temperature has been adjusted" and "please check whether the indoor valve is open".

[0059] Further, the response information for indoor plumbing failure is please contact the community property service company.

[0060] Furthermore, the response information for outdoor pipe failure includes contacting the community property service company and the heating company for repairs.

[0061] S3: Based on the first heat problem analysis result, a heat problem analysis is performed on the flow data to obtain a second heat problem analysis result, and the heating boiler is controlled according to the second heat problem analysis result to reduce the energy consumption of the heating boiler.

[0062] Preferably, Figure 2 The figure shows the implementation process of the second heat problem analysis and heating boiler control. Based on the first heat problem analysis result, the flow data is analyzed for heat problems to obtain the second heat problem analysis result. According to the second heat problem analysis result, the heating boiler is controlled to reduce the energy consumption of the heating boiler, including the following steps: based on the first heat problem analysis result, the flow data of the community with heat problems is called to obtain the real-time flow data and the designed maximum flow data of the heat exchange station.

[0063] The real-time flow data is compared with the designed maximum flow data. If the real-time flow data = the designed maximum flow data, it is determined that the corresponding community has a heating problem, that is, the second heating problem analysis result is obtained, and the boiler control unit is used to increase the boiler's outlet water temperature or flow, thereby increasing the temperature of the community with the heating problem.

[0064] If the real-time flow data is less than the designed maximum flow data, it is determined that the corresponding community does not have a heating problem, and the boiler control unit is used to feedback the corresponding solution to the channel for collecting complaint information.

[0065] For communities that do not have heating problems, the boiler control unit is used to judge the set ratio of the real-time flow data and the designed maximum flow data. If the real-time flow data is less than the set ratio of the designed maximum flow data, the heat of the heat exchange station is reduced, thereby reducing the temperature of the community without changing the boiler outlet water temperature or flow, saving energy.

[0066] If the real-time flow data ≥ the set ratio of the designed maximum flow data, the existing configuration remains unchanged.

[0067] Preferably, by comparing the real-time flow data with the designed maximum flow data, and combining the data of communities with heat problems preliminarily screened out based on the first heat problem analysis results, an accurate judgment of the heat problem is achieved, which not only takes into account the subjective feedback of users, but also combines objective flow data, avoiding misjudgment that may be caused by relying solely on complaint information, and improving the accuracy and reliability of the judgment; for communities without heat problems, a set ratio is introduced to achieve energy saving by adjusting the heat of the heat exchange station, and then, under the premise of ensuring user comfort, the rational use of energy is achieved through refined control, especially by lowering the indoor temperature of the community, indirectly reducing the boiler outlet water temperature and increasing the boiler return water temperature, thereby reducing fuel consumption and achieving significant energy-saving effects; by combining complaint information and flow data, the source of the heat problem can be accurately located, and it can be distinguished whether it is a real lack of heating or improper use by users, thereby improving the efficiency of problem solving and avoiding unnecessary energy waste.

[0068] Furthermore, the response message of the solution is to open or increase the indoor valve.

[0069] Specifically, since the design maximum flow data is determined after the design and construction of the heat exchange station in the community is completed, the design maximum flow data is a fixed value. The design maximum flow data of heat exchange stations in different communities may be the same or different. When the real-time flow data reaches the design maximum flow data, it indicates that all end users in the community have opened the indoor valves to the maximum, and the pump of the heat exchange station is also in the maximum power state. If there is complaint information about heat use problems in the corresponding community, it means that the end user has tried to open the indoor valves to the maximum, and this attempt still cannot raise the indoor temperature to 18 degrees Celsius or above. , indicating that the corresponding community has a heating problem; and in communities other than those with heating problems, including communities without heating problems, communities with heating problems but no end-users have reported complaints, and end-users have reported complaints but the real-time flow data of the heat exchange station has not reached the designed maximum flow data, the boiler control unit will consider that the corresponding community does not have a heat exchange problem. At this time, the boiler control unit will reduce the flow of the heat exchange station in the corresponding community, thereby reducing the indoor temperature of the end-users in the community. Only when the end-users in the community have reported complaints and the real-time flow data of the heat exchange station has reached the designed maximum flow data, will the temperature or flow of the boiler outlet water be increased.

[0070] Furthermore, the set ratio is determined by conducting experiments in the community, in which the boiler control unit controls the boiler outlet water to be at different temperatures and flow rates, adjusts the valve opening of the end users in the community, measures the indoor temperature of the end users, and when the indoor temperature reaches the minimum set temperature, the ratio of the current real-time flow data of the heat exchange station to the corresponding design maximum flow data is used as the set ratio.

[0071] Specifically, the calculation formula for setting the ratio is as follows:

[0072]

[0073] Among them, β is the set ratio; R min The real-time flow data of the heat exchange station when the indoor temperature reaches the minimum set temperature; M max It is the design maximum flow data of the heat exchange station.

[0074] Specifically, for the lowest set temperature in the set ratio, the initial temperature is set by collecting temperature data from multiple different regions and buildings, and the actual needs of users are analyzed based on user feedback, and the initial temperature is adjusted to obtain the corresponding lowest set temperature to meet the needs of different regions and users.

[0075] Specifically, when the indoor temperature of end users in some communities is high, end users usually take the approach of closing the indoor valve. After the valve is closed, the flow of hot water flowing through the room will also decrease, and the indoor temperature will gradually decrease while the heat dissipation remains unchanged until it reaches a temperature that the end user subjectively feels appropriate. Although this situation can ensure that the indoor temperature of the end user meets the standard, the heat loss during the hot water transportation process is relatively high due to the high temperature, which is not conducive to reducing the energy consumption of the boiler. Therefore, for communities where there is no heating problem, the boiler control unit will adjust the flow of the heat exchange station according to the real-time flow data, and then reduce the indoor temperature of some communities without changing the indoor temperature of all communities in the area. After reducing the flow of some heat exchange stations, the heat of the boiler outlet water received by the terminal pipeline in the heat exchange station will be reduced, so the temperature reduction of the boiler outlet water will also be reduced, resulting in an increase in the temperature of the boiler return water, thereby reducing the fuel consumption of the boiler and achieving an energy saving effect.

[0076] Specifically, there are multiple set ratios, each set ratio corresponds to a community, boiler temperature and boiler flow. For communities that do not have heating problems, the boiler control unit determines the set ratio based on the current community, boiler temperature and boiler flow.

[0077] The present embodiment also provides an energy-saving control system for centralized heating boilers based on complaint information, including: a data acquisition module, which is used to use a complaint information acquisition unit to acquire complaint information, and use a heat exchange data acquisition unit to acquire flow data of a heat exchange station; a complaint analysis module, which is used to perform heat use problem analysis on the complaint information, screen out communities with heat use problems, and obtain a first heat use problem analysis result; a boiler control module, which is used to obtain flow data of communities with heat use problems based on the first heat use problem analysis result and perform heat use problem analysis on the flow data to obtain a second heat use problem analysis result, and control the heating boiler based on the second heat use problem analysis result.

[0078] This embodiment also provides a computer device, which is applicable to a centralized heating boiler energy-saving control method based on complaint information, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement a centralized heating boiler energy-saving control method based on complaint information as proposed in the above embodiment.

[0079] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a key, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse, etc.

[0080] The present embodiment also provides a storage medium on which a computer program is stored. When the program is executed by a processor, a central heating boiler energy-saving control method based on complaint information is implemented as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0081] In summary, the present invention judges the complaint information of terminal users, quickly locates the communities with heating problems, and uses the comparative analysis results of the real-time flow data of the heat exchange station and the designed maximum flow data to verify the communities with heating problems, further locates the communities with heating problems, improves the accuracy of positioning, avoids blindly adjusting the temperature of the boiler due to misoperation of the end users, and reduces energy consumption; for communities without heating problems, the flow of the heat exchange station is reduced based on the set ratio, thereby reducing heat waste without affecting other communities, thereby reducing the energy consumption of the heating boiler.

[0082] Example 2

[0083] Referring to Tables 1 to 3, which are the second embodiment of the present invention, this embodiment is different from the first embodiment in that, in order to verify its beneficial effects, experimental comparison data between the present invention and the prior art are provided.

[0084] This example collects data from a heating area with 10 residential communities in a northern city, and uses the application programming interface (API) to access the heating company's official website, customer service feedback page, mayor hotline feedback page, and property service company feedback page. The collected feedback complaint information from all pages is transmitted to the boiler control unit, and complaint information from the past three years is collected. A standard vocabulary and corresponding standard feature vectors are established through manual annotation. The complaint information is then analyzed to determine the optimal distance threshold of 0.35, and the distance threshold is updated in subsequent operations.

[0085] For the flow data of the heat exchange station, a flow meter and a communication unit are installed in each heat exchange station to collect real-time flow data and designed maximum flow data and transmit them to the boiler control unit. Then, the method of the present invention is used to analyze the new complaint information and flow data. Table 1 shows the data acquisition table for each community.

[0086] Table 1 Acquisition data of each community

[0087] Community Name Total number of complaints <![CDATA[Real-time flow rate (m 3 / h)]]> <![CDATA[Design maximum flow rate (m 3 / h)]]> Community 1 156 42.3 55.0 Community 2 203 38.7 50.0 Community 3 178 40.5 52.5 Community 4 225 36.8 47.5 ... ... ... ... Community 142 43.8 57.5

[0088] With respect to the data obtained above, the complaint information and flow data are analyzed by using the method of the present invention. The specific data are shown in Table 2. For communities without heat use problems, the real-time flow data and the set ratio of the designed maximum flow data are compared to determine whether to start the flow reduction operation of the heat exchange station. By testing the combined heat exchange station and the boiler, the boiler is operated at the set temperature and flow. For the heat exchange stations in each community, the staff will adjust the opening of each indoor valve in the community, change the flow of the heat exchange station, and monitor the indoor temperature in real time after adjusting the opening. After the indoor temperature stabilizes, determine whether it has dropped to 18 degrees Celsius. If it is higher than 18 degrees Celsius, continue to reduce the opening of the indoor valve until the indoor temperature stabilizes at 18 degrees Celsius. At the same time, since the building structures in the same community are basically the same, when the indoor temperature is maintained at 18 degrees Celsius under the same outside temperature, the opening of the indoor valve will also be basically the same, and then the opening of other indoor valves can be obtained. After all indoor temperatures in a community are maintained at 18 degrees Celsius and remain stable, the ratio of the real-time flow data of the heat exchange station at this time to the designed maximum flow data is used as the set ratio.

[0089] Table 2 Control effect data table of the method of the present invention

[0090] Community Name Number of valid complaints Complaint identification accuracy (%) Traffic utilization rate (%) Community 1 138 94.2 76.9 Community 2 185 92.8 77.4 Community 3 162 93.5 77.1 Community 4 201 91.6 77.5 ... ... ... ... Community 132 95.1 76.2

[0091] Based on the control effect of the present invention and the acquired regional data, the method of the present invention, the traditional control method and the temperature control method were used to conduct tests respectively, and the control effects of different methods on the heating boiler were analyzed. The specific data are shown in Table 3.

[0092] Table 3 Comparison data of control effect

[0093] Control Methods Average room temperature deviation (℃) Complaint rate (%) User satisfaction (%) Method of the present invention ±0.5 2.7 93.6 Traditional control methods ±1.8 5.8 87.4 Temperature Control Method ±0.8 3.9 90.5

[0094] It can be seen from the above table that compared with other existing technologies, the present invention can effectively identify the specific types of complaints, and then quickly locate communities with heating problems, more stably control the room temperature changes of end users, thereby bringing a better experience and improving the satisfaction of end users. It can also improve energy utilization and reduce heat waste and energy consumption of heating boilers through control of heating boilers.

[0095] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for controlling energy conservation of a central heating boiler based on complaint information, characterized in that: include: Obtain complaint information from end users and flow data from heat exchange stations; Performing a heat usage problem analysis on the complaint information to obtain a first heat usage problem analysis result; Based on the first heat problem analysis result, a heat problem analysis is performed on the flow data to obtain a second heat problem analysis result, and the heating boiler is controlled according to the second heat problem analysis result to reduce the energy consumption of the heating boiler.

2. The method for controlling energy conservation of a central heating boiler based on complaint information according to claim 1, characterized in that: The complaint information includes a community name and a fault description, and the complaint information collection unit collects the terminal user's complaint information about the indoor temperature from multiple channels; The sources of complaint information include the complaint page of the heating company, the complaint records reported by the heating company’s customer service staff, the complaint records reported by government agencies, and the complaint records reported by the community’s property service companies; The community name is determined by information fed back by end users; The fault description is composed of a text description of the fault condition by the end user, including temperature failure, pipeline leakage and pipeline blockage; The flow data includes real-time flow data and designed maximum flow data of each heat exchange station collected by a heat exchange data collection unit.

3. The energy-saving control method for a central heating boiler based on complaint information according to claim 2, characterized in that: The obtaining of the first heat problem analysis result comprises the following steps: Analyze and process the complaint information using a boiler control unit, and extract the community name and the fault description; Extract keywords from the fault description to obtain a corresponding extracted feature vector; Calculating the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word; Perform keyword judgment based on the Euclidean distance, if the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word is less than the distance threshold, then it is determined that the keyword is the same as the standard word, and the complaint type of the standard word is used as the complaint type of the keyword; If the Euclidean distance between the extracted feature vector and the standard feature vector of the standard word is greater than or equal to the distance threshold, it is determined that the keyword is different from the standard word; Count the complaint types of all keywords in the complaint information. If there is no keyword in the complaint information that is the same as the standard word, the corresponding complaint information is considered invalid. If there is only one keyword in the complaint information that is the same as the standard word, the complaint type of the corresponding keyword will be used as the complaint type of the complaint information; If there are multiple keywords in the complaint information that are the same as the standard word, the complaint types of all keywords are counted, and the complaint type with the largest number is used as the complaint type of the corresponding complaint information; The complaint type of the complaint information is judged. If the complaint type of the complaint information is that the temperature does not meet the standard, the community with the heating problem is determined based on the corresponding community name, and the first heating problem analysis result is obtained. The real-time flow data and the designed maximum flow data of the corresponding heat exchange station are called according to the preset correspondence between the heat exchange station and the community name, and the boiler control unit is made to feedback the corresponding reply information to the channel that collects the complaint information according to the complaint type to which the complaint information actually belongs; If the complaint type of the complaint information is indoor pipeline failure, the boiler control unit is made to feedback corresponding reply information to the channel that collects the complaint information according to the complaint type to which the complaint information actually belongs; If the complaint type of the complaint information is an outdoor pipeline failure, the boiler control unit is enabled to feed back corresponding reply information to the channel that collects the complaint information according to the complaint type to which the complaint information actually belongs.

4. The method for controlling energy conservation of a central heating boiler based on complaint information according to claim 3, characterized in that: Based on the first heat problem analysis result, the flow data is subjected to heat problem analysis to obtain a second heat problem analysis result, and the heating boiler is controlled according to the second heat problem analysis result to reduce the energy consumption of the heating boiler, including the following steps: Based on the first heat problem analysis result, the flow data of the community with heat problem is called to obtain the real-time flow data and the designed maximum flow data of the heat exchange station; The real-time flow data is compared with the designed maximum flow data. If the real-time flow data = the designed maximum flow data, it is determined that the corresponding community has a heating problem, that is, a second heating problem analysis result is obtained, and the boiler control unit is used to increase the outlet water temperature or flow of the boiler; If the real-time flow data is less than the designed maximum flow data, it is determined that the corresponding community does not have a heating problem, and the boiler control unit is used to feedback a corresponding solution to the channel that collects the complaint information; For communities that do not have heating problems, the boiler control unit is used to judge the set ratio of the real-time flow data to the designed maximum flow data. If the real-time flow data is less than the set ratio of the designed maximum flow data, the heat of the heat exchange station is reduced. If the real-time flow data is greater than or equal to the set ratio of the designed maximum flow data, the existing configuration is maintained unchanged.

5. The method for controlling energy conservation of a central heating boiler based on complaint information according to claim 4, characterized in that: The set ratio is achieved by using the boiler control unit to control the boiler outlet water at different temperatures and flow rates, adjusting the valve opening of the terminal users in the community, and measuring the indoor temperature of the terminal users. When the indoor temperature reaches the minimum set temperature, the ratio of the current real-time flow data of the heat exchange station to the corresponding designed maximum flow data is used as the set ratio.

6. The method for controlling energy conservation of a central heating boiler based on complaint information according to claim 5, characterized in that: The types of complaints mentioned included substandard temperatures, indoor plumbing failures, and outdoor plumbing failures.

7. The method for controlling energy conservation of a central heating boiler based on complaint information according to claim 6, characterized in that: The temperature not meeting the standard means that after the end user pays the heating fee during the heating season, there is water in the indoor pipes but the temperature does not reach T degrees Celsius; The indoor pipe failure refers to the indoor pipe leaking or no water at all after the end user pays the heating fee during the heating season; The outdoor pipeline failure refers to water leakage in outdoor pipelines, including boiler outlet pipes and heat exchange station pipes.

8. A central heating boiler energy-saving control system based on complaint information, based on a central heating boiler energy-saving control method based on complaint information according to any one of claims 1 to 7, characterized in that: include, A data acquisition module, used to acquire complaint information using a complaint information acquisition unit, and to acquire flow data of a heat exchange station using a heat exchange data acquisition unit; A complaint analysis module is used to analyze the complaint information for heating problems, screen out communities with heating problems, and obtain a first heating problem analysis result; The boiler control module is used to obtain the flow data of the community with heating problems based on the first heating problem analysis result and perform heating problem analysis on the flow data to obtain the second heating problem analysis result, and control the heating boiler based on the second heating problem analysis result.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a centralized heating boiler energy-saving control method based on complaint information as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for energy-saving control of a centralized heating boiler based on complaint information as described in any one of claims 1 to 7 are implemented.

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