Recommended method and device for property management project, electronic equipment and storage medium

Abstract

The application discloses a property management recommendation method and device, electronic equipment and storage medium, and relates to the technical field of property management. Candidate property management industry attribute information, traffic information, population density and commercial distribution information in the surrounding range of each candidate property management project are obtained, the industry approximate score of the candidate property management project is determined based on the industry attribute information and the property management industry attribute information of the property management project, the traffic convenience score of the candidate property management project is determined based on the traffic information, the stability score of the candidate property management project is determined based on the population density and the commercial distribution information, the property management score of the candidate property management project is calculated, and then the recommendation ranking of each candidate property management project is obtained. The traditional subjective experience is converted into a calculable index system by quantifying the industry approximate score, the traffic convenience score and the stability score, so that the recommendation result is more stable and reliable.

Description

Technical Field

[0001] This application relates to the field of property data analysis technology, and in particular to a method, apparatus, electronic device and storage medium for recommending property management projects. Background Technology

[0002] As property management companies gradually shift from single-point services to regionalized operations, grid-based management, and platform-based expansion, commercial and office projects are no longer simply operated independently as individual managed assets. Instead, they are becoming crucial pillars for regional resource integration, business replication, and incremental project expansion. For property management companies, the areas surrounding their current managed projects typically contain numerous potential managed projects, such as residential communities, office buildings, shopping malls, apartments, industrial parks, and supporting properties. However, currently, property management companies' sales personnel rely solely on manual experience to conduct site visits when searching for managed projects. This approach is not only inefficient but also subjective in its evaluation of candidate projects. A key technical challenge in current property expansion decision-making is how to automatically integrate factors such as similarity in business types, convenient transportation, and regional stability reflected in the distribution of surrounding populations and shops, using managed projects as the center, to prioritize candidate managed projects within the expansion scope. Summary of the Invention

[0003] This application aims to address at least one of the technical problems existing in the prior art. To this end, this application proposes a method, apparatus, electronic device, and storage medium for recommending property management projects. This method can automatically integrate factors such as business type similarity, transportation convenience, and regional stability reflected by the distribution of surrounding population and shops to prioritize candidate management projects within the expansion scope. The evaluation of candidate management projects is more accurate and objective, and it can improve the efficiency of property project expansion.

[0004] The recommended method for property management project according to the first aspect of this application includes: Based on a preset radius, an extended range is constructed with the location of the managed project as the center, and multiple candidate managed projects within the extended range are identified. Obtain the candidate business type attribute information for each of the candidate projects to be included in the management system; Based on the candidate business type attribute information of the candidate projects to be included in the management system and the managed business type attribute information of the projects under management, the approximate business type score of the candidate projects to be included in the management system is determined. Obtain the traffic information between the location of each candidate project and the location of the managed project, and determine the traffic convenience score of the candidate project based on the traffic information; Obtain population density and shop distribution information within the surrounding area of ​​each of the candidate managed projects; The stability score of the candidate projects to be included in the management system is determined based on the population density and the shop distribution information. Based on the approximate business type score, transportation convenience score, and stability score of the candidate projects, the inclusion score of the candidate projects is calculated. Based on the inclusion score, the candidate inclusion projects are sorted in descending order to obtain the recommended ranking of each candidate inclusion project.

[0005] The method for recommending property management projects according to the embodiments of this application has at least the following beneficial effects: First, based on a preset radius, an extended range is constructed with the location of the managed project as the center, and multiple candidate managed projects within the extended range are determined. Then, candidate managed business type attribute information, access information, population density and shop distribution information in the surrounding area are obtained for each candidate managed project. Based on the business type attribute information and the managed business type attribute information of the managed project, the approximate business type score of the candidate managed project is determined. Based on the access information, the traffic convenience score of the candidate managed project is determined. Based on the population density and the shop distribution information, the stability score of the candidate managed project is determined. Then, based on the approximate business type score, the traffic convenience score and the stability score, the management score of the candidate managed project is calculated. Based on the management score, each candidate managed project is sorted in descending order to obtain the recommended ranking of each candidate managed project. This system automatically transforms traditional subjective experience into a calculable indicator system by quantifying scores for similar business types, convenient transportation, and stability. This avoids the arbitrariness and bias of human judgment, resulting in more stable and reliable recommendation results. It uses managed projects as spatial anchors to define the expansion scope, prioritizing candidate projects with similar business types, convenient transportation, and stable locations. This facilitates resource reuse and management outreach for property management companies, reducing marginal operating costs after taking over new projects. Furthermore, it automatically calculates inclusion scores and outputs recommended rankings in sequence, helping relevant personnel in property management companies quickly identify targets and improve the efficiency of property project expansion.

[0006] According to some embodiments of this application, based on the candidate management business type attribute information of the candidate management projects and the managed business type attribute information of the managed projects, an approximate business type score for the candidate management projects is determined, including: The area proportion of each business type in the managed projects is determined based on the managed business type attribute information; According to a preset arrangement order, the area proportion of each business type of the managed projects is arranged to construct a first vector; The area proportion of each business type in the candidate projects to be included in the management system is determined based on the attribute information of the candidate business types. According to the aforementioned arrangement order, the area proportion of each business type in the candidate projects to be included in the management system is arranged to construct a second vector; The similarity between the first vector and the second vector is calculated and used as the approximate business type score of the candidate managed projects.

[0007] According to some embodiments of this application, determining the traffic convenience score of the candidate project for inclusion in the management system based on the traffic information includes: Based on the traffic information, a first number of first modes of transportation are determined from the location of the candidate managed project to the location of the managed project, and a first average travel time for each of the first modes of transportation is determined. Based on the traffic information, a second number of second modes of transportation are determined from the location of the managed project to the location of the candidate managed project, and a second average travel time for each of the second modes of transportation is determined. Based on the first quantity, the second quantity, and each of the first average traffic duration and each of the second average traffic duration, the traffic convenience score of the candidate managed projects is determined.

[0008] According to some embodiments of this application, determining the traffic convenience score of the candidate project based on the first quantity, the second quantity, and each of the first average traffic durations and each of the second average traffic durations includes: Determine the first target interval containing the first quantity from multiple quantity intervals, and determine the second target interval containing the second quantity from multiple quantity intervals; Based on a preset first interval score mapping relationship, a first diversity score corresponding to the first target interval and a second diversity score corresponding to the second target interval are determined; wherein, the first interval score mapping relationship records the mapping relationship between each quantity interval and the diversity score; Calculate the average of each of the first average traffic durations to obtain the first average value; calculate the average of each of the second average traffic durations to obtain the second average value. The shortest first traffic duration is determined from each of the first average traffic durations, and the shortest second traffic duration is determined from each of the second average traffic durations. The first time efficiency score is obtained by weighted summation of the first average value and the first shortest travel time. The second time efficiency score is obtained by weighted summation of the second average value and the second shortest travel time. The first directional score is obtained by weighted summation of the first time efficiency score and the first diversity score. The second directional score is obtained by weighted summation of the second time efficiency score and the second diversity score. The average of the scores in the first direction and the scores in the second direction is calculated as the traffic convenience score for the candidate project to be included in the management system.

[0009] According to some embodiments of this application, determining the stability score of the candidate management project based on the population density and the shop distribution information includes: Based on the shop distribution information, determine the number of shop types and the number of shops for each shop type; A business stability score is determined based on the number of shop types and the number of shops. The population stability score of the candidate projects to be included in the management system is determined based on the population density. Based on the business stability score and the population stability, the stability score of the candidate regulated project is obtained.

[0010] According to some embodiments of this application, determining the business stability score based on the number of shop types and the number of shops includes: The business stability score is calculated using the business stability formula, which is: ; Where Div is the business stability score, m is the number of shop types, i is the index, and Pi represents the number of shops of the i-th type.

[0011] According to some embodiments of this application, determining the population stability score of the candidate managed projects based on the population density includes: Determine the third target interval containing the population density from multiple density intervals; Based on the preset second interval score mapping relationship, the population score corresponding to the third target interval is determined as the population stability score of the candidate managed project; wherein, the second interval score mapping relationship records the mapping relationship between each density interval and the population score.

[0012] A second aspect of this application provides a recommendation device for property management projects, comprising: The first determining module is used to construct an extended range based on a preset radius, with the location of the piped project as the center, and to determine multiple candidate piped projects within the extended range. The first acquisition module is used to acquire the candidate management business type attribute information of each of the candidate management projects; The second determining module is used to determine the approximate business type score of the candidate management project based on the candidate management business type attribute information of the candidate management project and the managed business type attribute information of the managed project. The second acquisition module is used to acquire the traffic information between the location of each candidate project and the location of the managed project, and to determine the traffic convenience score of the candidate project based on the traffic information. The third acquisition module is used to acquire population density and shop distribution information in the surrounding area of ​​each candidate project; The third determining module is used to determine the stability score of the candidate management project based on the population density and the shop distribution information. The calculation module is used to calculate the inclusion score of the candidate inclusion project based on the approximate business type score, transportation convenience score, and stability score of the candidate inclusion project; The sorting module is used to sort each of the candidate management projects in descending order based on the management score, and obtain the recommended ranking of each candidate management project.

[0013] A third aspect of this application provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the recommended method for property management projects as described in any of the first aspects of this application.

[0014] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the recommended method for property management projects as described in any of the first aspects of this application.

[0015] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0016] The present application will be further described below with reference to the accompanying drawings and embodiments, wherein: Figure 1 This is a flowchart illustrating the steps of the recommended method for property management project according to an embodiment of this application; Figure 2 This is a schematic diagram of the recommended device for a property management system project according to an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0017] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain this application, and should not be construed as limiting this application.

[0018] In the description of this application, it should be understood that the orientation descriptions, such as up, down, front, back, left, right, etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0019] In the description of this application, "several" means one or more, "multiple" means two or more, "greater than," "less than," and "exceeding" are understood to exclude the stated number, while "above," "below," and "within" are understood to include the stated number. The use of "first" and "second" in the description is merely for distinguishing technical features and should not be construed as indicating or implying relative importance, or implicitly indicating the number of indicated technical features, or implicitly indicating the order of the indicated technical features.

[0020] In the description of this application, unless otherwise expressly defined, terms such as "setup," "installation," and "connection" should be interpreted broadly, and those skilled in the art can reasonably determine the specific meaning of the above terms in this application in conjunction with the specific content of the technical solution.

[0021] In the description of this application, the terms "one embodiment," "some embodiments," "illustrative embodiment," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0022] It should be noted that in all specific embodiments of this application, when processing data related to user identity or characteristics, such as user information, user behavior data, user historical data, and user location information, user permission or consent is obtained first. Furthermore, the collection, use, and processing of this data comply with relevant laws, regulations, and standards. In addition, when embodiments of this application require access to sensitive personal information of users, separate permission or consent from the user is obtained through pop-ups or redirection to confirmation pages. Only after obtaining the user's separate permission or consent is the necessary user-related data required for the proper functioning of these embodiments acquired.

[0023] This application proposes a method, device, electronic equipment, and storage medium for recommending property management projects. It can automatically integrate factors such as business type similarity, transportation convenience, and regional stability reflected by the distribution of surrounding population and shops to prioritize candidate management projects within the expansion scope. The evaluation of candidate management projects is more accurate and objective, and it can improve the efficiency of property project expansion.

[0024] The method for recommending property management projects in this application can be applied to a terminal or a server. In some embodiments, the terminal can be a smartphone, tablet, laptop, desktop computer, etc.; the server can be configured as an independent physical server, or as a server cluster or distributed system composed of multiple physical servers, or as a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms; the software can be an application that implements the method for recommending property management projects, etc., but is not limited to the above forms.

[0025] This application can be used in a wide variety of general-purpose or special-purpose computer system environments or configurations. Examples include: personal computers, server computers, handheld or portable devices, tablet devices, multiprocessor systems, microprocessor-based systems, set-top boxes, programmable consumer electronics, network PCs, minicomputers, mainframe computers, and distributed computing environments including any of the above systems or devices. This application can be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific tasks or implement specific abstract data types. This application can also be practiced in distributed computing environments where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0026] Reference Figure 1 , Figure 1 This is a flowchart illustrating the steps of a recommended method for property management project implementation according to an embodiment of this application. Figure 1 The illustrated process includes, but is not limited to, steps S110 to S180.

[0027] Step S110: Based on a preset radius, construct an expansion range centered on the location of the project in the pipeline, and determine multiple candidate projects within the expansion range. It should be noted that this application does not impose specific limitations on the preset radius, and those skilled in the art can set the radius according to the actual situation.

[0028] In some embodiments, managed projects and candidate managed projects can be office buildings, residential communities, shopping malls, apartments, industrial parks, etc.

[0029] In some embodiments, a circle with a preset radius is constructed on a city map centered on the location of the managed project. The area enclosed by this circle is used as the extended range. Then, the element name of each map element within the extended range on the city map is obtained. Fuzzy matching is performed on each element name based on a preset vocabulary. If any word in the vocabulary successfully matches the element name, the map element corresponding to that element name is considered a candidate managed project. It is worth noting that the vocabulary stores multiple pre-set words used to represent candidate managed projects. For example, the vocabulary includes words such as "residential community," "apartment," "shopping mall," "industrial park," and "office building." For instance, an element name is "A residential apartment." This element name successfully matches "apartment" in the vocabulary, so the map element corresponding to this element name is considered a candidate managed project.

[0030] Step S120: Obtain the candidate business type attribute information for each candidate project to be included in the management system; Step S130: Based on the candidate management business type attribute information of the candidate management projects and the managed business type attribute information of the managed projects, determine the approximate business type score of the candidate management projects; It is worth noting that the business format approximation score is used to measure the similarity between candidate projects and existing managed projects in terms of property management business format. Property management has a strong business format dependency and experience reuse characteristics. Different business formats (such as office buildings, residential buildings, shopping malls, and industrial parks) have significant differences in service standards, equipment configuration, personnel structure, and management processes. The closer the business formats, the easier it is for the management experience, service system, and supply chain resources accumulated by the company in its existing managed projects to be transferred to candidate projects, and the lower the organizational costs, learning costs, and operational risks of taking over. By quantifying business format matching into a business format approximation score, it is possible to objectively assess whether candidate projects are within the experience radius that the company's capabilities can effectively cover. This allows for the priority recommendation of projects that are easy to reuse resources and standardize management, avoiding service capability incompatibility due to excessive differences in business formats.

[0031] Step S140: Obtain the traffic information between the location of each candidate project and the location of the managed project, and determine the traffic convenience score of the candidate project based on the traffic information; It is worth noting that the transportation convenience score is used to measure the ease of personnel movement between candidate projects and existing managed projects. The property management industry is a labor-intensive and time-sensitive service industry, requiring project managers, maintenance personnel, security and cleaning staff to be deployed between different projects. The transportation conditions between two projects directly impact personnel commuting costs, emergency response timeliness, and the feasibility of resource sharing across multiple projects. The more convenient the transportation, the easier it is for the management team and service resources of existing projects to extend their reach to candidate projects, thus providing a foundation for a shared personnel model. Quantifying transportation information to create a transportation convenience score avoids overlooking actual transportation difficulties that might arise from relying solely on straight-line distance.

[0032] Step S150: Obtain population density and shop distribution information in the surrounding area of ​​each candidate project. Step S160: Determine the stability score of candidate projects for inclusion in the management system based on population density and shop distribution information; It is worth noting that the stability score measures whether the population and business environment of the candidate managed project area have the foundation for long-term stable operation; population density and shop distribution information reflect the maturity and sustainability of the candidate managed projects, directly affecting asset value and the importance that owners attach to the level of property management. By combining population density and shop distribution information to calculate the stability score, projects with high long-term operational risks can be screened out.

[0033] Step S170: Calculate the inclusion score of the candidate projects based on their approximate business type score, transportation convenience score, and stability score. It is worth noting that in step S170, the score is calculated based on the following formula: ; ; ; ; Where S is the management score, Savg is the average of all scores, and Sm is the minimum value among D1, D2, and D3; Max The maximum value is used to represent the approximate business type score. W1 is the weight of the approximate business type score, W2 is the weight of the transportation convenience score, W3 is the weight of the stability score, D1 is the approximate business type score, D2 is the transportation convenience score, and D3 is the stability score. k is a preset constant greater than 0 and less than 1, and G is the dispersion coefficient. To preset the penalty coefficient, This is the compensation coefficient. Those skilled in the art can set the penalty coefficient according to the actual situation, for example, 0.3 or 0.5, or other values ​​greater than 0 and less than 1. In the calculation formula of step S170, by introducing the compensation coefficient, the intuitiveness and interpretability of the weighted summation are preserved, while the weakest link coefficient prevents anomalies in a particular score from causing unreasonable inclusion scores, thus making the obtained inclusion scores more reasonable and the recommendation results more reasonable.

[0034] It is worth noting that the sum of W1, W2, and W3 is 1. Those skilled in the art can set the values ​​of W1, W2, and W3 according to the actual situation. For example, W1 is 0.3, W2 is 0.3, and W3 is 0.4. Or, those skilled in the art believe that the approximate score of the business type is more important, so they set W1 to 0.6, W2 to 0.2, and W3 to 0.2.

[0035] Step S180: Sort each candidate project for inclusion in the management system in descending order based on the inclusion score, and obtain the recommended ranking of each candidate project for inclusion in the management system.

[0036] According to the property management project recommendation method of this application embodiment, through the above steps S110 to S180, firstly, based on a preset radius, an extended range is constructed with the location of the managed project as the center, and multiple candidate managed projects within the extended range are determined. Then, the candidate managed business type attribute information, access information, population density and shop distribution information of each candidate managed project are obtained. Based on the business type attribute information and the managed business type attribute information of the managed project, the approximate business type score of the candidate managed project is determined. Based on the access information, the traffic convenience score of the candidate managed project is determined. Based on the population density and the shop distribution information, the stability score of the candidate managed project is determined. Then, based on the approximate business type score, the traffic convenience score and the stability score, the management score of the candidate managed project is calculated. Based on the management score, each candidate managed project is sorted in descending order to obtain the recommended ranking of each candidate managed project. This system automatically transforms traditional subjective experience into a calculable indicator system by quantifying scores for similar business types, convenient transportation, and stability. This avoids the arbitrariness and bias of human judgment, resulting in more stable and reliable recommendation results. It uses managed projects as spatial anchors to define the expansion scope, prioritizing candidate projects with similar business types, convenient transportation, and stable locations. This facilitates resource reuse and management outreach for property management companies, reducing marginal operating costs after taking over new projects. Furthermore, it automatically calculates inclusion scores and outputs recommended rankings in sequence, helping relevant personnel in property management companies quickly identify targets and improve the efficiency of property project expansion.

[0037] It is understood that step S130 may include, but is not limited to, steps S210 to S250.

[0038] Step S210: Determine the area proportion of each business type in the managed projects based on the managed business type attribute information; It is worth noting that the terminal or server used to execute the recommended method for property management projects in this application pre-stores the managed business type attribute information, which includes the area percentage of each business type in the managed project. For example, if the managed project is an office building, then the managed project only includes one business type, namely office building, and the area percentage of office building is 1.

[0039] Step S220: Arrange the area proportion of each business type of the managed projects according to the preset arrangement order to construct the first vector; It is worth noting that those skilled in the art can set the arrangement order according to the actual situation. For example, the arrangement order could be [office building, production area, residential area, commercial area]. For instance, if the managed project is a comprehensive park with business types including residential area, production area, commercial area, and office building, and the area proportions of the residential area, production area, commercial area, and office building are 0.4, 0.2, 0.2, and 0.2 respectively, then the corresponding first vector would be [0.2, 0.2, 0.2, 0.4]. In the process of constructing the first vector, for business types that do not exist, their area proportion is set to 0. For example, if the managed project is an office building, then the managed project only includes one business type, namely office building, and the area proportion of office building is 1, then the corresponding first vector would be [1, 0, 0, 0].

[0040] Step S230: Determine the area proportion of each business type in the candidate projects for inclusion in the management system based on the attribute information of the candidate projects; It is worth noting that the attribute information of candidate managed business types can be obtained through maps. For example, if a candidate managed business type is an industrial park, the area of ​​residential areas, production areas, commercial areas, and office buildings within the industrial park can be obtained by processing the map data. In this way, the area proportion of each type of business in the candidate managed project can be obtained. It should be noted that the process of data processing on maps is a mature existing technology, and this application will not elaborate on it.

[0041] Step S240: Arrange the area proportion of each business type of the candidate projects according to the sorting order to construct the second vector; It is worth noting that, in accordance with the arrangement order in step S220, the area proportion of each business type of the candidate management project is arranged to construct the second vector. The construction process is the same as step S220, and will not be repeated here.

[0042] Step S250: Calculate the similarity between the first vector and the second vector, which serves as the approximate business type score for the candidate managed projects.

[0043] It is worth noting that the cosine similarity between the first and second vectors is calculated as an approximate score for the business type of the candidate projects to be included in the management system.

[0044] In this embodiment, steps S210 to S250 are used to uniformly construct a first vector and a second vector according to a preset arrangement order, ensuring that the business format vector dimensions of different projects are consistent and highly comparable. Furthermore, using area proportions to construct the first and second vectors can fully reflect the respective business format combination structures of managed projects and candidate managed projects (such as office buildings with commercial podiums, mixed-use complexes, etc.), rather than relying solely on a single main business format for judgment. Vector similarity calculation can capture subtle differences in the proportion of business format composition between two projects, making the quantification of approximate business format scores more accurate and avoiding misjudgments caused by the same main business format but vastly different internal structures.

[0045] It is understood that step S140 may include, but is not limited to, steps S310 to S330.

[0046] Step S310: Based on traffic information, determine the first number of first modes of transportation from the location of the candidate managed project to the location of the managed project, and the first average travel time for each first mode of transportation; Step S320: Based on traffic information, determine the second number of second modes of transportation from the location of the managed project to the location of the candidate managed project, and the second average travel time for each second mode of transportation; Step S330: Based on the first quantity, the second quantity, and each first average traffic duration and each second average traffic duration, determine the traffic convenience score of the candidate projects to be included in the management system.

[0047] It is worth noting that the process involves determining the locations of candidate managed projects and managed projects on a map, and then performing route queries on the map software to obtain traffic information. This traffic information includes the first number of first modes of transportation from the location of the candidate managed project to the location of the managed project, and the first average travel time for each first mode of transportation. The traffic information also includes the second number of second modes of transportation from the location of the managed project to the location of the candidate managed project, and the second average travel time for each second mode of transportation. This application does not specifically limit the specific route query operation; this operation relies on existing map software, which is a mature and readily available technology.

[0048] It is understood that step S330 may include steps S331 to S339.

[0049] Step S331: Determine the first target interval where the first quantity is located from multiple quantity intervals, and determine the second target interval where the second quantity is located from multiple quantity intervals; Step S332: Based on the preset first interval score mapping relationship, determine the first diversity score corresponding to the first target interval and the second diversity score corresponding to the second target interval; wherein, the first interval score mapping relationship records the mapping relationship between each quantity interval and the diversity score; It is worth noting that the terminal or server used to execute the recommended method for property management projects according to the embodiments of this application pre-stores a first interval score mapping relationship. The first interval score mapping relationship records the mapping relationship between each quantity interval and the diversity score. Therefore, the first diversity score and the second diversity score can be obtained from the first interval score mapping relationship. The specific correspondence in the first interval score mapping relationship can be freely set by those skilled in the art according to the actual situation. Usually, a gradient setting is used so that the larger the quantity, the higher the score is obtained.

[0050] Step S333: Calculate the average of each first average traffic duration to obtain the first average; calculate the average of each second average traffic duration to obtain the second average. Step S334: Determine the shortest first traffic duration from each first average traffic duration, and determine the shortest second traffic duration from each second average traffic duration. Step S335: Calculate the first time efficiency score by weighted summation of the first average value and the first shortest travel time. For example, the first-time efficiency score is calculated as follows: S1 = w4*v1 + w5*v2; Wherein, S1 is the first time efficiency score, w4 and w5 are preset weights, the sum of w4 and w5 is 1, v1 is the first average value, and v2 is the first shortest traffic time.

[0051] Step S336: Calculate the second time efficiency score by weighted summation of the second average value and the second shortest travel time. For example, the second time efficiency score is calculated as follows: S2 = w6*v3 + w7*v4; S2 is the second time efficiency score, w6 and w7 are preset weights, the sum of w6 and w7 is 1, v3 is the second average value, and v4 is the first shortest travel time.

[0052] Step S337: Calculate the weighted sum of the first time efficiency score and the first diversity score to obtain the first direction score; For example, the score in the first direction is calculated as follows: S3 = w8*S1 + w9*T1; Among them, S3 is the first direction score, w8 and w9 are preset weights, the sum of w8 and w9 is 1, S1 is the first time efficiency score, and T1 is the first diversity score.

[0053] Step S338: The second time efficiency score and the second diversity score are weighted and summed to obtain the second directional score; For example, the score in the first direction is calculated as follows: S4 = w10 * S2 + w11 * T2; Among them, S4 is the second direction score, w10 and w11 are preset weights, the sum of w10 and w11 is 1, S2 is the second time efficiency score, and T2 is the second diversity score.

[0054] Step S339: Calculate the average of the scores in the first direction and the second direction, and use it as the traffic convenience score for the candidate project to be included in the management system.

[0055] It is worth noting that D2 = (S3 + S4) / 2, where D2 is the score for convenient transportation.

[0056] This embodiment of the application, through steps S331 to S339, obtains the number of transportation modes and travel time for both directions—from the candidate project to the managed project and from the managed project to the candidate project—and performs independent calculations followed by comprehensive analysis. This fully considers the potential asymmetry in round-trip conditions during actual commuting, avoiding overestimation of convenience due to evaluating only one direction. This makes the transportation convenience score more closely reflect the actual deployment scenarios of property management personnel. The number of transportation modes is mapped to a diversity score, and the average and shortest travel times are combined to calculate a time efficiency score. Then, a weighted calculation is performed to obtain the score for each direction, achieving a multi-dimensional assessment of transportation convenience.

[0057] It is understood that step S160 may include, but is not limited to, steps S410 to S440.

[0058] Step S410: Determine the number of shop types and the number of shops for each shop type based on the shop distribution information; It is worth noting that the shop distribution information is obtained from the map. Specifically, the name of each shop is obtained from the map, and then the shop names are classified based on the shop names to determine the number of shop types and the number of shops in each shop type.

[0059] Step S420: Determine the business stability score based on the number of shop types and the number of shops; Step S430: Determine the population stability score of candidate projects for inclusion in the management system based on population density; Step S440: Based on the business stability score and population stability, obtain the stability score of the candidate projects to be included in the management system.

[0060] It is worth noting that in step S440, the stability score is calculated using the following formula: D3 = S5 + Z * Div; Wherein, D3 is the stability score, S5 is the population stability score, Div is the business stability score, and Z is a preset basic constant. Those skilled in the art can set the value of Z according to the actual situation.

[0061] In this embodiment of the application, steps S410 to S440 are used to calculate a business stability score and a population stability score to reflect the richness and resilience of the surrounding business ecosystem of the candidate managed project, as well as the depth and sustained vitality of the employed population. Calculating these two scores separately avoids one dimension of information masking the risks or opportunities of the other, ensuring that the resulting stability score comprehensively reflects the overall health of the region where the candidate managed project is located.

[0062] It is worth noting that the business stability score is calculated using the business stability formula, which is: ; Where Div represents the business stability score, m represents the number of shop types, i is the index, and Pi represents the number of shops of the i-th type. The business stability score can be used to characterize the rationality of shop distribution. The higher the business stability score, the more rational the shop distribution and the more balanced the commercial development around the candidate project.

[0063] It is understood that step S440 includes steps S510 and S520.

[0064] Step S510: Determine the third target interval where the population density is located from multiple density intervals; Step S520: Based on the preset second interval score mapping relationship, determine the population score corresponding to the third target interval as the population stability score of the candidate management project; wherein, the second interval score mapping relationship records the mapping relationship between each density interval and the population score.

[0065] It is worth noting that the terminal or server used to execute the recommended method for property management projects according to the embodiments of this application pre-stores a second interval score mapping relationship. The second interval score mapping relationship records the mapping relationship between each density interval and the population score. Therefore, the population stability score can be obtained from the second interval score mapping relationship. The specific correspondence in the second interval score mapping relationship can be freely set by those skilled in the art according to the actual situation. Usually, a gradient setting is used so that the higher the density, the higher the score is obtained.

[0066] A second aspect of this application provides a recommended device for property management project integration. (See also...) Figure 2 , Figure 2 This is a schematic diagram of the recommended device for a property management system project according to an embodiment of this application. The recommended device for the property management system project includes: The first determining module 210 is used to construct an expansion range based on a preset radius, with the location of the project in the pipeline as the center, and to determine multiple candidate pipeline projects within the expansion range. The first acquisition module 220 is used to acquire the candidate management business type attribute information of each candidate management project; The second determining module 230 is used to determine the approximate business type score of the candidate projects for management based on the candidate management business type attribute information of the candidate projects for management and the managed business type attribute information of the managed projects. The second acquisition module 240 is used to acquire the traffic information between the location of each candidate project and the location of the managed project, and to determine the traffic convenience score of the candidate project based on the traffic information. The third acquisition module 250 is used to acquire population density and shop distribution information in the surrounding area of ​​each candidate project. The third determination module 260 is used to determine the stability score of candidate projects for inclusion in the management system based on population density and shop distribution information. The calculation module 270 is used to calculate the inclusion score of the candidate inclusion project based on the approximate business type score, transportation convenience score, and stability score of the candidate inclusion project; The sorting module 280 is used to sort each candidate project in descending order based on the project inclusion score, and obtain the recommended ranking of each candidate project.

[0067] The property management project recommendation device of this application embodiment is used to execute the property management project recommendation method of the first aspect embodiment. When executing the method, firstly, based on a preset radius, an extended range is constructed with the location of the managed project as the center, and multiple candidate managed projects within the extended range are determined. Then, candidate managed business type attribute information, access information, population density and shop distribution information of each candidate managed project are obtained. Based on the business type attribute information and the managed business type attribute information of the managed project, the approximate business type score of the candidate managed project is determined. Based on the access information, the traffic convenience score of the candidate managed project is determined. Based on the population density and the shop distribution information, the stability score of the candidate managed project is determined. Then, based on the approximate business type score, the traffic convenience score and the stability score, the management score of the candidate managed project is calculated. Based on the management score, each candidate managed project is sorted in descending order to obtain the recommendation ranking of each candidate managed project. This system automatically transforms traditional subjective experience into a calculable indicator system by quantifying scores for similar business types, convenient transportation, and stability. This avoids the arbitrariness and bias of human judgment, resulting in more stable and reliable recommendation results. It uses managed projects as spatial anchors to define the expansion scope, prioritizing candidate projects with similar business types, convenient transportation, and stable locations. This facilitates resource reuse and management outreach for property management companies, reducing marginal operating costs after taking over new projects. Furthermore, it automatically calculates inclusion scores and outputs recommended rankings in sequence, helping relevant personnel in property management companies quickly identify targets and improve the efficiency of property project expansion.

[0068] It should be noted that the specific implementation method of the property management project recommendation device is basically the same as the specific embodiment of the property management project recommendation method described above, and will not be repeated here. Subject to meeting the requirements of the embodiments of this application, the property management project recommendation device may also be equipped with other functional units to implement the property management project recommendation method in the above embodiments.

[0069] A third aspect of this application provides an electronic device including a memory and a processor. The memory stores a computer program, and the processor executes the computer program to implement the recommended method for property management projects according to any one of the first aspects of the embodiment. This electronic device can be any smart terminal, including tablet computers, in-vehicle computers, etc.

[0070] Reference Figure 3 , Figure 3 This is a schematic diagram of the structure of an electronic device according to one embodiment. The electronic device includes: The processor 301 can be implemented using a general-purpose CPU (Central Processing Unit), microprocessor, application-specific integrated circuit (ASIC), or one or more integrated circuits, and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this application. The memory 302 can be implemented as a read-only memory (ROM), static storage device, dynamic storage device, or random access memory (RAM). The memory 302 can store the operating system and other applications. When the technical solutions provided in the embodiments of this specification are implemented through software or firmware, the relevant program code is stored in the memory 302 and is called and executed by the processor 301 to execute the recommended method for property management projects according to the embodiments of this application. Input / output interface 303 is used to implement information input and output; The communication interface 304 is used to enable communication and interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or wireless means (such as mobile network, WIFI, Bluetooth, etc.). Bus 305 transmits information between various components of the device (e.g., processor 301, memory 302, input / output interface 303, and communication interface 304); The processor 301, memory 302, input / output interface 303, and communication interface 304 are connected to each other within the device via bus 305.

[0071] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the recommended method for property management projects according to any one of the first aspect embodiments.

[0072] Memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs and non-transitory computer-executable programs. Furthermore, memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory may optionally include memory remotely located relative to the processor, and these remote memories can be connected to the processor via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0073] The embodiments described in this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the evolution of technology and the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0074] Those skilled in the art will understand that the technical solutions shown in the figures do not constitute a limitation on the embodiments of this application, and may include more or fewer steps than shown, or combine certain steps, or different steps.

[0075] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0076] Those skilled in the art will understand that all or some of the steps in the methods disclosed above, as well as the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, or suitable combinations thereof.

[0077] The terms “first,” “second,” “third,” “fourth,” etc. (if present) in the specification and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms “comprising” and “having,” and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0078] It should be understood that in this application, "at least one (item)" means one or more, and "more than one" means two or more. "And / or" is used to describe the mapping relationship between the mapped objects, indicating that three relationships can exist. For example, "A and / or B" can represent three cases: only A exists, only B exists, and both A and B exist simultaneously, where A and B can be singular or plural. The character " / " generally indicates that the preceding and following mapped objects are in an "or" relationship. "At least one (item) of the following" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one (item) of a, b, or c can represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, and c can be single or multiple.

[0079] In the embodiments provided in this application, it should be understood that the disclosed systems and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of the units described above is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interfaces, devices, or units, and may be electrical, mechanical, or other forms.

[0080] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0081] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0082] If the integrated unit is implemented as a software functional unit 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 this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes multiple instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing programs, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0083] The preferred embodiments of the present application have been described above with reference to the accompanying drawings, but this does not limit the scope of the claims of the present application. Any modifications, equivalent substitutions, and improvements made by those skilled in the art without departing from the scope and substance of the embodiments of the present application shall be within the scope of the claims of the present application.

Claims

1. A method for recommending property management projects, characterized in that, include: Based on a preset radius, an extended range is constructed with the location of the managed project as the center, and multiple candidate managed projects within the extended range are identified. Obtain the candidate business type attribute information for each of the candidate projects to be included in the management system; Based on the candidate business type attribute information of the candidate projects to be included in the management system and the managed business type attribute information of the projects under management, the approximate business type score of the candidate projects to be included in the management system is determined. Obtain the traffic information between the location of each candidate project and the location of the managed project, and determine the traffic convenience score of the candidate project based on the traffic information; Obtain population density and shop distribution information within the surrounding area of ​​each of the candidate managed projects; The stability score of the candidate projects to be included in the management system is determined based on the population density and the shop distribution information. Based on the approximate business type score, transportation convenience score, and stability score of the candidate projects, the inclusion score of the candidate projects is calculated. Based on the inclusion score, the candidate inclusion projects are sorted in descending order to obtain the recommended ranking of each candidate inclusion project.

2. The method for recommending property management projects according to claim 1, characterized in that, Based on the candidate business type attribute information of the candidate projects to be included in the management system and the managed business type attribute information of the projects currently under management, the approximate business type score of the candidate projects to be included in the management system is determined, including: The area proportion of each business type in the managed projects is determined based on the managed business type attribute information; According to a preset arrangement order, the area proportion of each business type of the managed projects is arranged to construct a first vector; The area proportion of each business type in the candidate projects to be included in the management system is determined based on the attribute information of the candidate business types. According to the aforementioned arrangement order, the area proportion of each business type in the candidate projects to be included in the management system is arranged to construct a second vector; The similarity between the first vector and the second vector is calculated and used as the approximate business type score of the candidate managed projects.

3. The recommended method for property management system integration projects according to claim 1, characterized in that, Determining the traffic convenience score of the candidate projects for inclusion in the management system based on the traffic information includes: Based on the traffic information, a first number of first modes of transportation are determined from the location of the candidate managed project to the location of the managed project, and a first average travel time for each of the first modes of transportation is determined. Based on the traffic information, a second number of second modes of transportation are determined from the location of the managed project to the location of the candidate managed project, and a second average travel time for each of the second modes of transportation is determined. Based on the first quantity, the second quantity, and each of the first average traffic duration and each of the second average traffic duration, the traffic convenience score of the candidate managed projects is determined.

4. The method for recommending property management projects according to claim 3, characterized in that, The process of determining the traffic convenience score of the candidate projects for inclusion in the management system based on the first quantity, the second quantity, and each of the first average traffic durations and each of the second average traffic durations includes: Determine the first target interval containing the first quantity from multiple quantity intervals, and determine the second target interval containing the second quantity from multiple quantity intervals; Based on a preset first interval score mapping relationship, a first diversity score corresponding to the first target interval and a second diversity score corresponding to the second target interval are determined; wherein, the first interval score mapping relationship records the mapping relationship between each quantity interval and the diversity score; Calculate the average of each of the first average traffic durations to obtain the first average value; calculate the average of each of the second average traffic durations to obtain the second average value. The shortest first traffic duration is determined from each of the first average traffic durations, and the shortest second traffic duration is determined from each of the second average traffic durations. The first time efficiency score is obtained by weighted summation of the first average value and the first shortest travel time. The second time efficiency score is obtained by weighted summation of the second average value and the second shortest travel time. The first directional score is obtained by weighted summation of the first time efficiency score and the first diversity score. The second directional score is obtained by weighted summation of the second time efficiency score and the second diversity score. The average of the scores in the first direction and the scores in the second direction is calculated as the traffic convenience score for the candidate project to be included in the management system.

5. The recommended method for property management system integration projects according to claim 1, characterized in that, Determining the stability score of the candidate projects for inclusion in the management system based on the population density and the shop distribution information includes: Based on the shop distribution information, determine the number of shop types and the number of shops for each shop type; A business stability score is determined based on the number of shop types and the number of shops. The population stability score of the candidate projects to be included in the management system is determined based on the population density. Based on the business stability score and the population stability, the stability score of the candidate regulated project is obtained.

6. The recommended method for property management system integration projects according to claim 5, characterized in that, The determination of the business stability score based on the number of shop types and the number of shops includes: The business stability score is calculated using the business stability formula, which is: ； Where Div is the business stability score, m is the number of shop types, i is the index, and Pi represents the number of shops of the i-th type.

7. The method for recommending property management projects according to claim 5, characterized in that, The process of determining the population stability score of the candidate managed projects based on the population density includes: Determine the third target interval containing the population density from multiple density intervals; Based on the preset second interval score mapping relationship, the population score corresponding to the third target interval is determined as the population stability score of the candidate management project; wherein, the second interval score mapping relationship records the mapping relationship between each density interval and the population score.

8. A recommendation device for property management project, characterized in that, include: The first determining module is used to construct an extended range based on a preset radius, with the location of the piped project as the center, and to determine multiple candidate piped projects within the extended range. The first acquisition module is used to acquire the candidate management business type attribute information of each of the candidate management projects; The second determining module is used to determine the approximate business type score of the candidate management project based on the candidate management business type attribute information of the candidate management project and the managed business type attribute information of the managed project. The second acquisition module is used to acquire the traffic information between the location of each candidate project and the location of the managed project, and to determine the traffic convenience score of the candidate project based on the traffic information. The third acquisition module is used to acquire population density and shop distribution information in the surrounding area of ​​each candidate project; The third determining module is used to determine the stability score of the candidate management project based on the population density and the shop distribution information. The calculation module is used to calculate the inclusion score of the candidate inclusion project based on the approximate business type score, transportation convenience score, and stability score of the candidate inclusion project; The sorting module is used to sort each of the candidate management projects in descending order based on the management score, and obtain the recommended ranking of each candidate management project.

9. An electronic device, characterized in that, The electronic device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the recommended method for property management projects as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the recommended method for property management projects as described in any one of claims 1 to 7.

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