Optimized layout and monitoring method for room temperature collector of secondary network of heat supply system

Abstract

The invention discloses a heat supply system secondary network room temperature collector optimized layout and monitoring method, which comprises the following steps: identifying key layout of room temperature collectors and monitored heat consumers, analyzing basic attribute information of the heat consumers, preliminarily selecting a plurality of positions which can be used for layout and installation of the room temperature collectors and represent indoor temperature, calculating importance weight information of each position, and determining the optimal layout of the room temperature collectors according to the importance weight information. Preliminarily drawing up a layout scheme set of the room temperature collector; establishing an optimized layout model of the room temperature collectors by taking the minimum number of the room temperature collectors arranged and installed in each building of the secondary network of the heat supply system, the minimum layout and installation cost and the optimal heat supply level as targets, and obtaining an optimal layout scheme of the room temperature collectors; the method comprises the following steps: installing a room temperature collector, monitoring data, carrying out room temperature analysis in a preset time period, evaluating the heat supply level and the heat comfort of each building and each heat user in combination with heat supply operation data, and actively carrying out room temperature substandard checking, layout scheme optimization adjustment and secondary network operation strategy regulation and control.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart heating systems, and specifically relates to an optimized layout and monitoring method for room temperature collectors in a secondary network of a heating system. Background Art

[0002] Urban central heating systems generally have uneven heating due to the different distances of heating areas and uneven quality of heating equipment. The balance regulation of the secondary heating network is mainly to solve the problem of uneven heating and cooling in the heating system. Through various means to adjust the hydraulics, the flow, pressure and temperature in the secondary pipe network are balanced to ensure that the heat can be scientifically and reasonably distributed to each building and each heating user, so that each user can enjoy the appropriate temperature, thereby improving the heating efficiency, avoiding energy waste, and improving the user's comfort and reducing the user's complaint rate of substandard room temperature.

[0003] In the process of secondary network regulation, indoor temperature is a crucial factor. On the one hand, indoor temperature is a key factor affecting heat load prediction and secondary network balance regulation. On the other hand, indoor temperature is a decisive parameter for judging whether heating meets the standard. If the user's indoor temperature can be known in time, it can not only reduce the number of door-to-door temperature measurements, but also improve the heating level. Therefore, the layout and installation of room temperature collectors in the heating system are particularly important. At present, most room temperature collectors in residential areas are installed in the living room, or in non-residential commercial buildings, only some room temperature collectors are installed, which cannot effectively monitor the room temperature in key areas, unfavorable heating locations, or areas where users are sensitive to temperature.

[0004] Based on the above technical problems, it is necessary to design a new optimization layout and monitoring method for the room temperature collector of the secondary network of the heating system. Summary of the invention

[0005] The technical problem to be solved by the present invention is to overcome the shortcomings of the prior art and provide an optimized layout and monitoring method for room temperature collectors in the secondary network of a heating system, which can accurately identify the heat users for key layout and monitoring of room temperature collectors, select scientific and reasonable representative locations to install room temperature collectors, and ensure that key areas are effectively monitored. At the same time, the number and installation costs of room temperature collectors are reduced, the economic benefits are improved, the room temperature is guaranteed to meet the standards, and user complaints are reduced.

[0006] In order to solve the above technical problems, the technical solution of the present invention is:

[0007] The present invention provides a method for optimizing the layout and monitoring of room temperature collectors in a secondary network of a heating system, which comprises:

[0008] S1. Obtain the structural information of each building in the secondary network of the heating system, and identify the unfavorable locations and key areas of concern that affect the room temperature. Combined with the heating quality complaint information and heating operation data of each heating user in each building, identify the heating users for key layout and monitoring of the room temperature collectors;

[0009] S2. Based on the identified key layouts and monitored heat users, analyze their basic attribute information, preliminarily select multiple locations where room temperature collectors can be installed and represent indoor temperatures, calculate the importance weight information of each location, and preliminarily formulate a layout plan set for room temperature collectors;

[0010] S3. With the goal of minimizing the number of room temperature collectors installed in each building of the secondary network of the heating system, minimizing the layout and installation cost, and optimizing the heating level, set the constraints for optimizing the layout of the room temperature collectors, establish an optimized layout model for the room temperature collectors, and obtain the optimal layout plan for the room temperature collectors;

[0011] S4. Install and monitor the room temperature collectors according to their optimal layout plan, analyze the room temperature within a preset time period, and evaluate the heating level and thermal comfort of each building and each heat user in combination with the heating operation data. Actively check for substandard room temperatures, optimize the layout plan, and regulate the secondary network operation strategy.

[0012] Further, in said S1, the structural information of each building of the secondary network of the heating system is obtained, including: when the building is a residential community, the structural information is the building materials of each unit building, the building height, the number of building floors, the thickness of the insulation layer, the orientation of the building, and the indoor layout, area size, room orientation, window type, whether the front of the building is blocked, and the layout of the stairwell and corridor of each unit building; when the building is a non-residential community such as an office building, a commercial building, and a medical building, the structural information includes the building area, the building building materials, the number of building floors, the functional attributes, area, layout, and orientation of the building lobby and each functional area;

[0013] The aforementioned clear identification of unfavorable locations and key areas of concern that affect room temperature include: defining the top floor, bottom floor, side rooms, rooms on the shady side, exterior walls, and rooms with many windows that have poor thermal insulation as unfavorable locations for heating; identifying stairwells, vents, lobbies, public areas, and corridors where cold wind or hot air masses gather as key areas of concern that affect room temperature;

[0014] The method combines the heating quality complaint information and heating operation data of each heating user in each building to identify the heating users that are focused on the layout and monitoring of the room temperature collectors, including:

[0015] Take the unfavorable locations and key areas that affect the room temperature as the first priority for the layout and monitoring of the room temperature collector;

[0016] Collect users' heating quality complaint information online, record the content, time and location of the complaint, analyze the complaint information, identify the communities, buildings and heating users with the highest frequency of complaints about substandard room temperature, locate the areas where substandard room temperature is located, and select the heating users as the second priority for room temperature collector layout and monitoring;

[0017] Obtain the heating operation data of each unit building, including supply and return water temperature, supply and return water pressure and circulating water flow, and analyze the heating operation data to identify the problem areas of insufficient heating, as the third key layout and monitoring heat users of the room temperature collector;

[0018] Comprehensively analyze the heat users that are the first priority layout and monitoring of the room temperature collector, the heat users that are the second priority layout and monitoring, and the heat users that are the third priority layout and monitoring, and identify the heat users that are the priority layout and monitoring of the room temperature collector.

[0019] Further, the comprehensive analysis of the heat users that are first focused on layout and monitoring, the heat users that are second focused on layout and monitoring, and the heat users that are third focused on layout and monitoring of the room temperature collector identifies the heat users that are focused on layout and monitoring of the room temperature collector, including: when a heat user belongs to the heat users that are first, second, and third focused on layout and monitoring of the room temperature collector at the same time, then the heat user is the heat user that is most urgently laid out and monitored by the room temperature collector; when the heat user belongs to two types of heat users among the heat users that are first, second, and third focused on layout and monitoring of the room temperature collector, then the heat user is the heat user that is urgently laid out and monitored by the room temperature collector; when the heat user belongs to one type of heat users among the heat users that are first, second, and third focused on layout and monitoring of the room temperature collector, then the heat user is the heat user that is second most urgently laid out and monitored by the room temperature collector.

[0020] Furthermore, S2 also includes: based on the non-key layout and monitored heat users, analyzing their indoor layout and orientation, selecting location information representing the indoor temperature, and installing a room temperature collector.

[0021] Furthermore, in S2, based on the identified key layouts and monitored heat users, their basic attribute information is analyzed, and multiple locations where room temperature collectors can be installed and represent indoor temperatures are preliminarily selected, including:

[0022] Based on the identified key heat users for layout and monitoring, the time and intensity of sunlight exposure for each heat user in each building, the differences between the sunny and shady sides, the impact of the apartment layout on the room temperature, and the priority given to areas where the room temperature does not meet the standards proposed by heat users, and after evaluating the feasibility of installing room temperature collectors, for the key heat users for layout and monitoring, multiple locations where room temperature collectors can be installed and represent the indoor temperature are preliminarily selected.

[0023] Furthermore, in S2, when calculating the importance weight information of each position, the methods adopted include entropy weight method, hierarchical analysis method, and principal component analysis. The larger the position importance weight value is, the more important it is to install a room temperature collector at that position.

[0024] Furthermore, in S3, the goal is to minimize the number of room temperature collectors, which is expressed as:

[0025]

[0026] f1 is the objective function for minimizing the number of room temperature collectors; n i is the number of room temperature collectors installed in the i-th building; N is the number of buildings;

[0027] The goal is to minimize the layout installation cost, which can be expressed as:

[0028]

[0029] f2 is the minimum objective function for the layout and installation cost of the room temperature collector; c is the installation cost of each room temperature collector;

[0030] The goal is to optimize the heating level, which can be expressed as:

[0031]

[0032] f3 is the optimal objective function for heating level; w j is the weight of the jth position; t ij is the actual indoor temperature at the jth location in the i-th building; t target is the ideal indoor temperature; M is the number of installed room temperature collectors.

[0033] Furthermore, in S3, the optimal layout constraints of the room temperature collectors are set, including: a limit on the number of room temperature collectors, a reachable constraint on the installation location, and a limit on the installation cost.

[0034] Furthermore, in S4, room temperature analysis is performed within a preset time period, and the heating level and thermal comfort of each building and each heat user are evaluated in combination with the heating operation data, including:

[0035] Obtain room temperature data from room temperature collectors within a preset time period, analyze the accuracy of the room temperature data, and then display buildings and heat users that do not meet room temperature standards in set colors by monitoring the room temperature data of each room temperature collector in real time;

[0036] At the same time, the supply and return water temperature, pressure, flow rate and heat consumption of each building, each heat user and each heat exchange station are monitored in real time. When it is lower than the set heating index value, it will actively warn the building and heat user whose heating index value does not meet the standard;

[0037] For buildings and heat users whose room temperature does not meet the standards and buildings and heat users whose heating index values ​​do not meet the standards, when the room temperature of buildings and heat users does not meet the standards and the heating index values ​​meet the standards, the heating level and thermal comfort of the buildings and heat users will not meet expectations; when the room temperature of buildings and heat users does not meet the standards, but the heating index values ​​meet the standards, it is necessary to further investigate the reasons.

[0038] Furthermore, in S4, proactively checking for substandard room temperature, optimizing and adjusting the layout plan, and regulating the secondary network operation strategy include:

[0039] For buildings and heat users that do not meet the standards, the room temperature is continuously monitored and on-site inspections are carried out to check whether the pipes are blocked, whether the valves are opened normally, and the insulation status of the buildings;

[0040] For buildings and heat users that do not meet the standards, optimize and adjust the layout of room temperature collectors, including changing the installation location and quantity of room temperature collectors;

[0041] For buildings and heat users that do not meet the standards, the secondary network operation strategy is adjusted, including: adjusting the water supply temperature, water supply flow and differentiated regulation by zone.

[0042] The beneficial effects of the present invention are:

[0043] (1) The present invention obtains the structural information of each building in the secondary network of the heating system, and clarifies the unfavorable positions and key areas of concern that affect the room temperature. It combines the heating quality complaint information and heating operation data of each heating user in each building to identify the heating users that are focused on the layout and monitoring of the room temperature collector. It can clarify which locations are more likely to have substandard room temperatures, achieve accurate positioning of the problem areas, and give priority to users in these areas when subsequently laying out and installing room temperature collectors. In addition, in combination with user complaint information and heating operation data, it can identify areas with poor heating quality, and jointly identify the heating users that are focused on the layout and monitoring of room temperature collectors from multiple aspects, thereby ensuring the accuracy and comprehensiveness of the identification.

[0044] (2) Based on the identified key layout and monitored heat users, the present invention analyzes their basic attribute information, preliminarily selects multiple locations where room temperature collectors can be installed and represent the indoor temperature, and calculates the importance weight information of each location, and then preliminarily formulates a layout plan set for the room temperature collectors; based on the identified heat users, according to the basic attributes of the users and the importance of the locations, the layout locations and quantities of the room temperature collectors can be formulated, and representative locations can be selected to install the room temperature collectors, which can more accurately reflect the actual situation of the indoor temperature, ensure that key areas are effectively monitored, and optimize the resource allocation of the room temperature collectors to avoid excessive concentration or dispersion;

[0045] (3) The present invention aims to minimize the number of room temperature collectors installed in each building of the secondary network of the heating system, minimize the layout and installation cost, and optimize the heating level. It sets the constraints for optimizing the layout of the room temperature collectors, establishes an optimized layout model for the room temperature collectors, and obtains the optimal layout plan for the room temperature collectors. It can reduce the number and installation cost of the room temperature collectors as much as possible, improve economic benefits, and help improve the heating effect of the entire building, ensure the quality of heating, and improve user satisfaction.

[0046] (4) The present invention installs and monitors the room temperature collector according to the optimal layout plan of the room temperature collector, performs room temperature analysis within a preset time period, and evaluates the heating level and thermal comfort of each building and each heat user in combination with the heating operation data, and proactively conducts room temperature non-compliance inspection, optimization and adjustment of the layout plan, and regulation of the secondary network operation strategy; the present invention can timely discover and solve the problem of room temperature non-compliance through continuous room temperature monitoring and analysis; and evaluate the heating level and comfort in combination with the heating operation data, discover potential problems in advance, conduct abnormal inspection, adjust the layout plan, and regulate the secondary network operation strategy, thereby ensuring the overall heating quality and reducing user complaints and room temperature non-compliance.

[0047] Other features and advantages will be described in the following description, and partly become apparent from the description, or understood by practicing the invention. The purpose and other advantages of the invention are realized and obtained by the structures particularly pointed out in the description and the drawings.

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 The present invention is a flow chart of a method for optimizing the layout and monitoring of room temperature collectors in a secondary network of a heating system. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0052] Example 1

[0053] like Figure 1 As shown, this embodiment 1 provides a method for optimizing the layout and monitoring of room temperature collectors in a secondary network of a heating system, which includes:

[0054] S1. Obtain the structural information of each building in the secondary network of the heating system, and identify the unfavorable locations and key areas of concern that affect the room temperature. Combined with the heating quality complaint information and heating operation data of each heating user in each building, identify the heating users for key layout and monitoring of the room temperature collectors;

[0055] S2. Based on the identified key layouts and monitored heat users, analyze their basic attribute information, preliminarily select multiple locations where room temperature collectors can be installed and represent indoor temperatures, calculate the importance weight information of each location, and preliminarily formulate a layout plan set for room temperature collectors;

[0056] S3. With the goal of minimizing the number of room temperature collectors installed in each building of the secondary network of the heating system, minimizing the layout and installation cost, and optimizing the heating level, set the constraints for optimizing the layout of the room temperature collectors, establish an optimized layout model for the room temperature collectors, and obtain the optimal layout plan for the room temperature collectors;

[0057] S4. Install and monitor the room temperature collectors according to their optimal layout plan, analyze the room temperature within a preset time period, and evaluate the heating level and thermal comfort of each building and each heat user in combination with the heating operation data. Actively check for substandard room temperatures, optimize the layout plan, and regulate the secondary network operation strategy.

[0058] In this embodiment, in S1, the structural information of each building in the secondary network of the heating system is obtained, including: when the building is a residential community, the structural information is the building materials of each unit building, the building height, the number of building floors, the thickness of the insulation layer, the orientation of the building, and the indoor layout, area size, room orientation, window type, whether the front of the building is blocked, and the layout of the stairwell and corridor of each unit building; when the building is a non-residential community such as an office building, a commercial building, and a medical building, the structural information includes the building area, the building construction materials, the number of building floors, the functional attributes, area, layout, and orientation of the building lobby and each functional area;

[0059] The aforementioned clear identification of unfavorable locations and key areas of concern that affect room temperature include: defining the top floor, bottom floor, side rooms, rooms on the shady side, exterior walls, and rooms with many windows that have poor thermal insulation as unfavorable locations for heating; identifying stairwells, vents, lobbies, public areas, and corridors where cold wind or hot air masses gather as key areas of concern that affect room temperature;

[0060] The method combines the heating quality complaint information and heating operation data of each heating user in each building to identify the heating users that are focused on the layout and monitoring of the room temperature collectors, including:

[0061] Take the unfavorable locations and key areas that affect the room temperature as the first priority for the layout and monitoring of the room temperature collector;

[0062] Collect users' heating quality complaint information online, record the content, time and location of the complaint, analyze the complaint information, identify the communities, buildings and heating users with the highest frequency of complaints about substandard room temperature, locate the areas where substandard room temperature is located, and select the heating users as the second priority for room temperature collector layout and monitoring;

[0063] Obtain the heating operation data of each unit building, including supply and return water temperature, supply and return water pressure and circulating water flow, and analyze the heating operation data to identify the problem areas of insufficient heating, as the third key layout and monitoring heat users of the room temperature collector;

[0064] Comprehensively analyze the heat users that are the first priority layout and monitoring of the room temperature collector, the heat users that are the second priority layout and monitoring, and the heat users that are the third priority layout and monitoring, and identify the heat users that are the priority layout and monitoring of the room temperature collector.

[0065] In this embodiment, the comprehensive analysis of the heat users that are first focused on layout and monitoring, the heat users that are second focused on layout and monitoring, and the heat users that are third focused on layout and monitoring of the room temperature collector identifies the heat users that are focused on layout and monitoring of the room temperature collector, including: when the heat user belongs to the heat users that are first, second and third focused on layout and monitoring of the room temperature collector at the same time, then the heat user is the heat user that is most urgently laid out and monitored by the room temperature collector; when the heat user belongs to two types of heat users among the heat users that are first, second and third focused on layout and monitoring of the room temperature collector, then the heat user is the heat user that is urgently laid out and monitored by the room temperature collector; when the heat user belongs to one type of heat users among the heat users that are first, second and third focused on layout and monitoring of the room temperature collector, then the heat user is the heat user that is second most urgently laid out and monitored by the room temperature collector.

[0066] In this embodiment, S2 further includes: based on non-key layout and monitored heat users, analyzing their indoor layout and orientation, selecting location information representing indoor temperature, and installing a room temperature collector.

[0067] It should be noted that for heat users that are not in key layout and monitoring, the room temperature is usually up to standard, or for areas that are not very sensitive to the room temperature, individual location information representing the indoor temperature can be selected and a room temperature collector can be installed.

[0068] In this embodiment, in S2, based on the identified key layouts and monitored heat users, their basic attribute information is analyzed, and multiple locations where room temperature collectors can be installed and represent indoor temperatures are preliminarily selected, including:

[0069] Based on the identified key heat users for layout and monitoring, the time and intensity of sunlight exposure for each heat user in each building, the differences between the sunny and shady sides, the impact of the apartment layout on the room temperature, and the priority given to areas where the room temperature does not meet the standards proposed by heat users, and after evaluating the feasibility of installing room temperature collectors, for the key heat users for layout and monitoring, multiple locations where room temperature collectors can be installed and represent the indoor temperature are preliminarily selected.

[0070] In this embodiment, in S2, when calculating the importance weight information of each position, the methods adopted include entropy weight method, hierarchical analysis method, and principal component analysis. The larger the position importance weight value, the more important it is to install a room temperature collector at that position.

[0071] In actual applications, for hospital buildings, when installing room temperature collectors at different locations in the hospital, the importance of each location is different. The importance depends on many factors, including crowd density, activity nature, special demand areas, etc.

[0072] 1) Crowd density:

[0073] Areas with large traffic flow, such as entrances, elevator entrances, registration areas, etc., have large temperature fluctuations due to frequent entry and exit of people. The importance of these areas is relatively high. Areas with small traffic flow, such as rest areas and corridors, have relatively small temperature changes and are relatively less important.

[0074] 2) Nature of the activity:

[0075] Special activity areas, such as first aid areas and information desks, require a more stable temperature environment;

[0076] Certain areas are more temperature sensitive, such as pharmacies, baby care areas, etc.;

[0077] 3) Environmental factors:

[0078] Locations near windows or doors are more affected by outdoor temperature and require more frequent inspections.

[0079] For residential users, the necessity and importance of installing multiple room temperature collectors in the user's home depends on many factors, including:

[0080] 1) House size and structure

[0081] Large houses: For larger houses, especially those with multiple floors or rooms, multiple collectors need to be installed to ensure comprehensive monitoring of room temperature; large houses will have local temperature differences and large temperature fluctuations;

[0082] Small apartment: For small apartments or studios, a room temperature collector is sufficient, because the room temperature is usually more uniform;

[0083] 2) Room usage: Baby rooms and elderly rooms require extra attention to temperature, and room temperature collectors need to be installed; room temperature collectors should be installed in areas of frequent activities in the living room;

[0084] 3) Energy-saving needs: For families who want to save energy by precisely controlling the temperature, installing multiple collectors can help adjust the temperature of different rooms more finely and achieve energy saving.

[0085] In this embodiment, in S3, the goal is to minimize the number of room temperature collectors, which is expressed as:

[0086]

[0087] f1 is the objective function for minimizing the number of room temperature collectors; n i is the number of room temperature collectors installed in the i-th building; N is the number of buildings;

[0088] The goal is to minimize the layout installation cost, which can be expressed as:

[0089]

[0090] f2 is the minimum objective function for the layout and installation cost of the room temperature collector; c is the installation cost of each room temperature collector;

[0091] The goal is to optimize the heating level, which can be expressed as:

[0092]

[0093] f3 is the optimal objective function for heating level; w j is the weight of the jth position; t ij is the actual indoor temperature at the jth location in the i-th building; t target is the ideal indoor temperature; M is the number of installed room temperature collectors.

[0094] It should be noted that the improved whale optimization algorithm can be used to solve the room temperature collector optimization layout model. The whale optimization algorithm is a meta-heuristic swarm intelligence optimization algorithm. Its design is based on the predation behavior of whale groups. When humpback whales prey on prey, they gradually surround the prey in a spiral path and use a bubble net to attack the prey. The whale optimization algorithm sets up several individuals to simulate the collaborative predation behavior of whale groups, and uses spiral lines to simulate its bubble net attack mechanism. A set of initial solutions is randomly set and the fitness is calculated. The individual with the highest fitness is found and the remaining individuals are gradually approached. It is mainly divided into the following three processes:

[0095] 1) Surround and capture prey:

[0096] The whale will share the information of the prey it has searched for, and then move closer to the whale closest to the prey in the current group, gradually narrowing the encirclement of the entire whale group to surround the prey. The whale position update is expressed as:

[0097]

[0098] X(t) is the current position vector of the whale; X * (t) is the position vector of the current optimal solution; A and C are correlation coefficients; t is the current iteration number; a is the convergence factor; r is a random number between [0,1]; t max is the maximum number of iterations;

[0099] 2) Bubble net predation:

[0100] When whales look for prey, they gradually approach their target in a spiral manner. The process is expressed as:

[0101]

[0102] D * is the current distance between the whale and its prey, which is the current optimal solution; b is the logarithmic spiral shape constant; l is a random number between [0,1];

[0103] 3) Random search for prey:

[0104] Randomly select a whale's position to update, thereby increasing the search range of the whale group. When |A|≥1, it means that the whale is outside the narrowing encirclement and uses a random search method to enhance the search ability of the whale optimization algorithm; when |A|<1, it means that the whale is inside the encirclement and chooses a spiral encirclement search method to update the position of the current optimal solution. The random search update is expressed as:

[0105] X(t+1)=X rand (t)-A·|CX rand (t)-X(t)|;

[0106] X rand (t) is the position vector of a randomly selected whale.

[0107] Improvements to the whale optimization algorithm, including:

[0108] 1) Introduce the Gaussian mutation operator. In each iteration, the individual whales are subjected to Gaussian mutation with a certain probability, so that the individual whales can jump out of the local optimal solution. The position update of the whale search is expressed as:

[0109] X(t+1)=X * (t)+wAD * +pN(0,1);

[0110] w is a weight parameter that determines the influence of the Gaussian variation term on the position update; pN(0,1) is a Gaussian variation term, which is a random part introduced for the current solution, used by the whale optimization algorithm to jump out of the local optimum, increase the diversity of the search space, and speed up the convergence of the algorithm;

[0111] 2) During the bubble net predation process, the introduction of parameters that are dynamically adjusted with the number of iterations can increase the whale's ability to explore unknown areas, expressed as:

[0112]

[0113] b0 is the initial parameter value; k is the rate of adjusting the parameter.

[0114] In actual applications, for example, for the lobby of a commercial building, the entrance and exit, elevator entrance, both sides of the lobby, the middle of the lobby, and the lobby service window are identified as the key locations for the installation of room temperature collectors. However, there are only five preset locations. The candidate layout solutions for the room temperature collectors to be placed at the entrance and exit Q1, elevator entrance Q2, one side of the lobby Q3, the other side of the lobby Q4, the middle of the lobby Q5, and the lobby service window Q6 are:

[0115] Solution 1: The room temperature collectors are installed at Q1, Q2, Q3, Q4, and Q5;

[0116] Solution 2: Room temperature collectors are installed at Q1, Q2, Q3, Q4, and Q6;

[0117] Solution 3: Room temperature collectors are installed at Q1, Q3, Q4, Q5, and Q6;

[0118] Solution 4: Room temperature collectors are installed in Q2, Q3, Q4, Q5, and Q6;

[0119] Solution 5: Room temperature collectors are installed at Q1, Q2, Q3, Q5, and Q6;

[0120] Only five schemes are listed above, which does not mean that there are only five candidate layout schemes, because the importance weights of each location are different, and the considerations of the weight value may also change, causing the weight value to change. Therefore, the candidate layout scheme is formulated based on comprehensive weights and various influencing factors. Subsequently, the optimal layout scheme is determined based on the set room temperature collector layout multi-objectives and constraints.

[0121] In this embodiment, in S3, the optimization layout constraints of the room temperature collectors are set, including: the number limit of the room temperature collectors, the installation location reachability constraints, and the installation cost limit.

[0122] In this embodiment, in S4, room temperature analysis is performed within a preset time period, and the heating level and thermal comfort of each building and each heat user are evaluated in combination with heating operation data, including:

[0123] Obtain room temperature data from room temperature collectors within a preset time period, analyze the accuracy of the room temperature data, and then display buildings and heat users that do not meet room temperature standards in set colors by monitoring the room temperature data of each room temperature collector in real time;

[0124] At the same time, the supply and return water temperature, pressure, flow rate and heat consumption of each building, each heat user and each heat exchange station are monitored in real time. When it is lower than the set heating index value, it will actively warn the building and heat user whose heating index value does not meet the standard;

[0125] For buildings and heat users whose room temperature does not meet the standards and buildings and heat users whose heating index values ​​do not meet the standards, when the room temperature of buildings and heat users does not meet the standards and the heating index values ​​meet the standards, the heating level and thermal comfort of the buildings and heat users will not meet expectations; when the room temperature of buildings and heat users does not meet the standards, but the heating index values ​​meet the standards, it is necessary to further investigate the reasons.

[0126] In this embodiment, in S4, actively checking for room temperature non-compliance, optimizing and adjusting the layout plan, and regulating the secondary network operation strategy include:

[0127] For buildings and heat users that do not meet the standards, the room temperature is continuously monitored and on-site inspections are carried out to check whether the pipes are blocked, whether the valves are opened normally, and the insulation status of the buildings;

[0128] For buildings and heat users that do not meet the standards, optimize and adjust the layout of room temperature collectors, including changing the installation location and quantity of room temperature collectors;

[0129] For buildings and heat users that do not meet the standards, the secondary network operation strategy is adjusted, including: adjusting the water supply temperature, water supply flow and differentiated regulation by zone.

[0130] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented in other ways. The system embodiments described above are merely schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the systems, methods and computer program products according to multiple embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of the code, and a part of the module, program segment or code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0131] In addition, the functional modules in each embodiment of the present invention can be integrated together to form an independent part, or each module can exist separately, or two or more modules can be integrated to form an independent part. If the function is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), disk or optical disk and other media that can store program codes.

[0132] Based on the above ideal embodiments of the present invention, the relevant staff can make various changes and modifications without departing from the technical concept of the present invention through the above description. The technical scope of the present invention is not limited to the contents of the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A method for optimizing the layout and monitoring of room temperature collectors in a secondary network of a heating system, characterized in that: It includes: S1. Obtain the structural information of each building in the secondary network of the heating system, and identify the unfavorable locations and key areas of concern that affect the room temperature. Combined with the heating quality complaint information and heating operation data of each heating user in each building, identify the heating users for key layout and monitoring of the room temperature collectors; S2. Based on the identified key layouts and monitored heat users, analyze their basic attribute information, preliminarily select multiple locations where room temperature collectors can be installed and represent indoor temperatures, calculate the importance weight information of each location, and preliminarily formulate a layout plan set for room temperature collectors; S3. With the goal of minimizing the number of room temperature collectors installed in each building of the secondary network of the heating system, minimizing the layout and installation cost, and optimizing the heating level, set the constraints for optimizing the layout of the room temperature collectors, establish an optimized layout model for the room temperature collectors, and obtain the optimal layout plan for the room temperature collectors; S4. Install and monitor the room temperature collectors according to their optimal layout plan, analyze the room temperature within a preset time period, and evaluate the heating level and thermal comfort of each building and each heat user in combination with the heating operation data. Actively check for substandard room temperatures, optimize the layout plan, and regulate the secondary network operation strategy.

2. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1 is characterized in that: In the S1, the structural information of each building in the secondary network of the heating system is obtained, including: when the building is a residential community, the structural information is the building materials of each unit building, the building height, the number of building floors, the thickness of the insulation layer, the orientation of the building, and the indoor layout, area size, room orientation, window type, whether the front of the building is blocked, and the layout of the stairwell and corridor; when the building is a non-residential community such as an office building, a commercial building, and a medical building, the structural information includes the building area, the building construction materials, the number of building floors, the functional attributes, area, layout, and orientation of the building lobby and each functional area; The aforementioned clear identification of unfavorable locations and key areas of concern that affect room temperature include: defining the top floor, bottom floor, side rooms, rooms on the shady side, exterior walls, and rooms with many windows that have poor thermal insulation as unfavorable locations for heating; identifying stairwells, vents, lobbies, public areas, and corridors where cold wind or hot air masses gather as key areas of concern that affect room temperature; The method combines the heating quality complaint information and heating operation data of each heating user in each building to identify the heating users that are focused on the layout and monitoring of the room temperature collectors, including: Take unfavorable locations and key areas that affect room temperature as the first priority for the layout and monitoring of room temperature collectors; Collect users' heating quality complaint information online, record the content, time and location of the complaint, analyze the complaint information, identify the communities, buildings and heating users with the highest frequency of complaints about substandard room temperature, locate the areas where substandard room temperature is located, and select the heating users as the second priority for room temperature collector layout and monitoring; Obtain the heating operation data of each unit building, including supply and return water temperature, supply and return water pressure and circulating water flow, and analyze the heating operation data to identify the problem areas of insufficient heating, as the third key layout and monitoring heat users of the room temperature collector; Comprehensively analyze the heat users that are the first priority layout and monitoring of the room temperature collector, the heat users that are the second priority layout and monitoring, and the heat users that are the third priority layout and monitoring, and identify the heat users that are the priority layout and monitoring of the room temperature collector.

3. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 2, characterized in that: The comprehensive analysis of the heat users that are first focused on layout and monitoring, the heat users that are second focused on layout and monitoring, and the heat users that are third focused on layout and monitoring by the room temperature collector identifies the heat users that are focused on layout and monitoring by the room temperature collector, including: when a heat user belongs to the heat users that are first, second, and third focused on layout and monitoring by the room temperature collector at the same time, the heat user is the heat user that is most urgently laid out and monitored by the room temperature collector; when the heat user belongs to two types of heat users among the heat users that are first, second, and third focused on layout and monitoring by the room temperature collector, the heat user is the heat user that is urgently laid out and monitored by the room temperature collector; when the heat user belongs to one type of heat users among the heat users that are first, second, and third focused on layout and monitoring by the room temperature collector, the heat user is the heat user that is second most urgently laid out and monitored by the room temperature collector.

4. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: The S2 also includes: based on the non-key layout and monitored heat users, analyzing their indoor layout and orientation, selecting location information representing the indoor temperature, and installing a room temperature collector.

5. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: In S2, based on the identified key layouts and monitored heat users, their basic attribute information is analyzed, and multiple locations where room temperature collectors can be installed and represent indoor temperatures are preliminarily selected, including: Based on the identified key heat users for layout and monitoring, the time and intensity of sunlight exposure for each heat user in each building, the differences between the sunny and shady sides, the impact of the apartment layout on the room temperature, and the priority given to areas where the room temperature does not meet the standards proposed by heat users, and after evaluating the feasibility of installing room temperature collectors, for the key heat users for layout and monitoring, multiple locations where room temperature collectors can be installed and represent the indoor temperature are preliminarily selected.

6. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: In S2, when calculating the importance weight information of each position, the methods adopted include entropy weight method, hierarchical analysis method, and principal component analysis. The larger the position importance weight value is, the more important it is to install a room temperature collector at that position.

7. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: In S3, the goal is to minimize the number of room temperature collectors, which is expressed as: f1 is the objective function for minimizing the number of room temperature collectors; n i is the number of room temperature collectors installed in the i-th building; N is the number of buildings; The goal is to minimize the layout installation cost, which can be expressed as: f2 is the minimum objective function for the layout and installation cost of the room temperature collector; c is the installation cost of each room temperature collector; The goal is to optimize the heating level, which can be expressed as: f3 is the optimal objective function for heating level; w j is the weight of the jth position; t ij is the actual indoor temperature at the jth location in the i-th building; t target is the ideal indoor temperature; M is the number of installed room temperature collectors.

8. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: In S3, the optimal layout constraints of the room temperature collectors are set, including: a limit on the number of room temperature collectors, a reachable constraint on the installation location, and a limit on the installation cost.

9. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: In S4, the room temperature analysis within the preset time period is performed, and the heating level and thermal comfort of each building and each heat user are evaluated in combination with the heating operation data, including: Obtain room temperature data from room temperature collectors within a preset time period, analyze the accuracy of the room temperature data, and then display buildings and heat users that do not meet room temperature standards in set colors by real-time monitoring of the room temperature data from each room temperature collector; At the same time, the supply and return water temperature, pressure, flow rate and heat consumption of each building, each heat user and each heat exchange station are monitored in real time. When it is lower than the set heating index value, it will actively warn the building and heat user whose heating index value does not meet the standard; For buildings and heat users whose room temperature does not meet the standards and buildings and heat users whose heating index values ​​do not meet the standards, when the room temperature of buildings and heat users does not meet the standards and the heating index values ​​meet the standards, the heating level and thermal comfort of the buildings and heat users will not meet expectations; when the room temperature of buildings and heat users does not meet the standards, but the heating index values ​​meet the standards, it is necessary to further investigate the reasons.

10. The method for optimizing layout and monitoring of room temperature collectors in a secondary network of a heating system according to claim 1, characterized in that: In S4, the room temperature not meeting the standard is checked proactively, the layout scheme is optimized and adjusted, and the secondary network operation strategy is regulated, including: For buildings and heat users that do not meet the standards, the room temperature is continuously monitored and on-site inspections are carried out to check whether the pipes are blocked, whether the valves are opened normally, and the insulation status of the buildings; For buildings and heat users that do not meet the standards, optimize and adjust the layout of room temperature collectors, including changing the installation location and quantity of room temperature collectors; For buildings and heat users that do not meet the standards, the secondary network operation strategy is adjusted, including: adjusting the water supply temperature, water supply flow and differentiated regulation by zone.

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