Campus operation management method, system and device in mobile application

Abstract

The application relates to a park operation management method, system and device in a mobile application. The method comprises the following steps: synchronizing order information of an order undertaken by an in-park enterprise through an enterprise terminal corresponding to each in-park enterprise; the order information comprises a product ID, a delivery quantity and a delivery deadline of the undertaken order; obtaining historical production capacity data, historical load data and voltage sag tolerance data of the in-park enterprise corresponding to the order information; predicting a production cycle of the in-park enterprise based on the product ID, the delivery quantity in the order information and the historical production capacity data of the in-park enterprise corresponding to the order information; formulating a corresponding production scheduling plan according to the production cycle and the delivery deadline of the order undertaken by the in-park enterprise and the historical load data and the voltage sag tolerance data of the in-park enterprise and feeding back the corresponding production scheduling plan to the enterprise terminal; and the application can effectively solve the problem that an industrial park cannot exert the advantage of centralized production and manufacturing, so that the production and manufacturing efficiency of the existing industrial park is still low.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of park management, and in particular to a park operation management method, system and device in a mobile application. BACKGROUND

[0002] At present, the high-tech industry is experiencing rapid development, and the number and scale of industrial production and manufacturing parks are also gradually increasing with the development of science and technology. The emergence of industrial production and manufacturing parks enables the aggregation of production factors and enables the scientific integration of production factors with outstanding industrial characteristics within a certain spatial range, improves the intensity of industrialization, and makes it a modern industrial division and cooperation production area that adapts to market competition and industrial upgrading.

[0003] However, while the park integrates industrial manufacturing enterprises, the related supporting management system that emphasizes industrial intensification management is not perfect, making it difficult for industrial parks and enterprises to effectively cooperate, and there are voltage sag phenomena caused by multiple high-voltage-quality-requirement enterprises simultaneously producing manufacturing activities, making it difficult for industrial parks to play a centralized production and manufacturing advantage, resulting in low production and manufacturing efficiency of existing industrial parks. SUMMARY

[0004] Therefore, it is necessary to provide a park operation management method, system and device in a mobile application to solve the above technical problems.

[0005] In a first aspect, the present application provides a park operation management method in a mobile application, applied to an industrial park containing multiple registered enterprises, the method comprising:

[0006] synchronizing order information of the registered enterprises by means of an enterprise terminal corresponding to each registered enterprise; the order information including the order ID, delivery quantity and delivery deadline of the registered enterprises;

[0007] obtaining historical production capacity data, historical load data and voltage sag tolerance data of the registered enterprises corresponding to the order information; the voltage sag tolerance data is used to represent the voltage sag depth that the registered enterprises can withstand;

[0008] based on the order ID, delivery quantity and historical production capacity data of the corresponding registered enterprises in the order information, predicting the production cycle of the registered enterprises;

[0009] According to the production cycle and delivery deadline of each registered enterprise, and the historical load data and voltage sag tolerance data of the registered enterprises, a production scheduling plan corresponding to the registered enterprises is formulated and fed back to the enterprise terminal.

[0010] In one of the embodiments, the product ID is used to represent the product category and the corresponding specifications of each category of product; the historical production capacity data of the registered enterprise includes the production quantity of each category of product in each historical order that has been produced and the production time of each category of product; the step of predicting the production cycle of the registered enterprise includes:

[0011] Based on the obtained multiple historical orders of the registered enterprise, a corresponding number of samples are obtained;

[0012] The production quantity of each category of product in each sample is arranged as a feature variable, and the production time of each category of product in the corresponding sample is arranged as a target variable;

[0013] A linear regression model is fitted based on the feature variable and the target variable corresponding to each sample;

[0014] The product category and the corresponding specifications of each product in the order information are taken as the feature variable to be processed and substituted into the linear regression model, and the production cycle corresponding to the order information is calculated.

[0015] In one of the embodiments, the historical load data includes voltage change data corresponding to the production process of each historical order; the step of formulating the production scheduling plan corresponding to the registered enterprise includes:

[0016] The planned production date is calculated according to the production cycle of each registered enterprise and the delivery deadline in the corresponding order information;

[0017] The planned production dates of each registered enterprise are staggered according to the time sequence to obtain a first production scheduling plan; the staggered arrangement includes that the planned production dates of each registered enterprise have a time difference of a first preset length;

[0018] According to the historical load data of each registered enterprise, it is judged whether each registered enterprise in the first production scheduling plan has a voltage sag risk in the corresponding production cycle;

[0019] In the case where it is judged that there is a voltage sag risk, the value of the voltage sag depth in the corresponding production cycle is obtained, and whether the registered enterprise can withstand the voltage sag depth is judged by comparing the voltage sag tolerance data with the value of the voltage sag depth; if not, the planned production dates of the registered enterprise with the voltage sag risk and other registered enterprises adjacent in time sequence are exchanged to obtain a second production scheduling plan.

[0020] In one of the embodiments, the method further includes:

[0021] According to the product category, the corresponding specifications of each product, and the delivery quantity in the order information of each registered enterprise, the product scale of the registered enterprise to undertake the order is calculated;

[0022] In a case where the order product scale is greater than a preset threshold, a delivery request information is sent to a business terminal of the corresponding registered enterprise;

[0023] In response to receiving the delivery information returned by the business terminal, a vehicle demand order is generated based on the delivery information and the product scale, and is sent to a cooperative transportation company; the delivery information includes a delivery destination, a delivery route, and a delivery time.

[0024] In one of the embodiments, before being sent to the cooperative transportation company, the method further comprises:

[0025] The delivery route and the delivery time in the delivery information are extracted and sent to the business terminals of other registered enterprises, and a second preset waiting time for an answer is set to receive answer information of the other registered enterprises, the answer information including a to-be-merged delivery route, a to-be-merged delivery time, and to-be-merged order information;

[0026] In a case where the to-be-merged delivery route is close to the delivery route in the delivery information, and the to-be-merged delivery time is close to the delivery time in the delivery information, a product scale of the order accepted by the other registered enterprise is calculated according to the to-be-merged order information;

[0027] The vehicle demand order is updated based on the answer information and the product scale of the order accepted by the other registered enterprise.

[0028] In one of the embodiments, the method further comprises:

[0029] In response to receiving the departure information returned by the transportation company, the departure information is synchronized to a security system of the industrial park; the departure information includes the number of vehicles participating in the delivery and corresponding vehicle license plate information.

[0030] In a second aspect, the application further provides a park operation management system in a mobile application, applied to an industrial park including a plurality of registered enterprises, the system including a business terminal and a server:

[0031] The business terminal is configured to synchronize, to the server, order information of the registered enterprise and historical production capacity data, historical load data, and voltage sag tolerance data of the registered enterprise, and is further configured to receive a production scheduling plan corresponding to the registered enterprise fed back by the server.

[0032] The server is configured to synchronize order information of the resident enterprises through enterprise terminals corresponding to the resident enterprises one by one, the order information comprising goods ID, delivery quantity and delivery deadline of the orders undertaken by the resident enterprises; obtain historical production capacity data, historical load data and voltage sag tolerance data of the resident enterprises corresponding to the order information; the voltage sag tolerance data is used to represent voltage sag depth that can be tolerated by the corresponding enterprise; predict production cycle of the resident enterprises based on the goods ID, the delivery quantity in the order information and the historical production capacity data of the corresponding resident enterprises; and formulate production scheduling plans corresponding to the resident enterprises according to the production cycle of each resident enterprise, the delivery deadline in the corresponding order information, the historical load data and the voltage sag tolerance data, and feed back to the enterprise terminals.

[0033] In one of the embodiments, the system further comprises:

[0034] The security system is connected with the server and the enterprise terminals, and is configured to identify and confirm pedestrians or vehicles entering the industrial park, and send identity verification information to the enterprise terminal of the resident enterprise associated with the pedestrians or vehicles in the case of unsuccessful identification and confirmation, and further configured to send alarm information to the server in the case of unsuccessful identity verification of the pedestrians or vehicles by the enterprise terminal.

[0035] In a third aspect, the application further provides a park operation management device in a mobile application, applied to an industrial park comprising a plurality of resident enterprises, the device comprising:

[0036] The information synchronization unit is configured to synchronize order information of orders undertaken by the resident enterprises through enterprise terminals corresponding to the resident enterprises one by one; the order information comprising goods ID, delivery quantity and delivery deadline of the orders undertaken by the resident enterprises;

[0037] The obtaining unit is configured to obtain historical production capacity data, historical load data and voltage sag tolerance data of the resident enterprises corresponding to the order information; the voltage sag tolerance data is used to represent voltage sag depth that can be tolerated by the resident enterprises;

[0038] The prediction unit is configured to predict production cycle of the resident enterprises based on the goods ID, the delivery quantity in the order information and the historical production capacity data of the corresponding resident enterprises;

[0039] The plan formulation unit is configured to formulate production scheduling plans corresponding to the resident enterprises according to the production cycle of each resident enterprise undertaking orders and the delivery deadline, and the historical load data and the voltage sag tolerance data of the resident enterprises, and feed back to the enterprise terminals.

[0040] In a fourth aspect, the present application also provides a computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the method for park operation management in a mobile application according to the first aspect of the present application when executing the computer program.

[0041] The method, system and device for park operation management in a mobile application can be applied to an industrial park comprising a plurality of resident enterprises, and can realize synchronization of order information and historical production data, historical load data and voltage sag tolerance data through enterprise terminals corresponding to the plurality of resident enterprises one by one. The production cycle of the resident enterprise can be predicted according to the product ID, delivery quantity in the order information and historical production capacity data of the corresponding resident enterprise, and then the corresponding supporting services can be provided for the enterprise according to the predicted production cycle. The supporting services include formulating a production scheduling plan for the resident enterprise which is not easily affected by voltage sag, according to the order delivery deadline of the resident enterprise. Only through the synchronization of online data, the effect that each resident enterprise in the entire park works uniformly and orderly according to the production scheduling plan is realized, effectively solving the problem that the existing industrial park production and manufacturing efficiency is still low due to the inability of the industrial park to play the advantage of centralized production and manufacturing. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 The figure is a schematic diagram of the overall flow steps of the method for park operation management in a mobile application in an embodiment;

[0043] Figure 2 The figure is a schematic diagram of the steps of calculating the order production cycle in an embodiment;

[0044] Figure 3 The figure is a schematic diagram of the steps of obtaining the first production scheduling plan and the second production scheduling plan in an embodiment;

[0045] Figure 4 The figure is a schematic diagram of the steps of helping the resident enterprise to distribute in an embodiment;

[0046] Figure 5 The figure is a schematic diagram of the steps of finding the resident enterprise for distribution in an embodiment;

[0047] Figure 6 The figure is a schematic diagram of the structure of the device for park operation management in a mobile application in an embodiment. DETAILED DESCRIPTION

[0048] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application are described in detail below. In the following description, a large number of specific details are set forth in order to facilitate a thorough understanding of the present application. However, the present application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar improvements without departing from the spirit of the present application, so the present application is not limited to the specific embodiments disclosed below.

[0049] In addition, the terms "first", "second" are only for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first", "second" can be explicitly or implicitly included at least one of the features. In the description of the present application, the meaning of "a plurality of" is at least two, for example, two, three, etc., unless otherwise explicitly specified and limited.

[0050] In the present application, unless otherwise explicitly specified and limited, the terms "connected", "connected" and other terms should be understood broadly, for example, it can be fixedly connected, or it can be detachably connected, or it can be integrated; it can be mechanically connected, or it can be electrically connected; it can be directly connected, or it can be indirectly connected through an intermediate medium, it can be the internal communication or interaction relationship of two elements, unless otherwise explicitly limited. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0051] It should be noted that when an element is considered to be "connected" to another element, it can be directly connected to another element, or connected to another element through a central element. In addition, in the following embodiments, "connected" between the objects connected should be understood as "electrically connected", "communication connection" and the like if there is transmission of electrical signals or data between the connected objects.

[0052] The IEEE standard and national standard "Voltage Sag and Short Interruption of Power Quality" (GB / T30137-2013) defines voltage sag, which refers to the phenomenon that the effective value of the power frequency voltage at a certain point in the power system temporarily decreases to 10%~90% of the rated voltage and lasts for 10ms~1min. Voltage sag is generally caused by the fault of the power grid and power transformation facility or the sudden change of the load; during the long-distance transmission of electric energy, it is inevitable to encounter many situations, such as lightning strikes in the distribution system, starting of large motors, and switching of capacitors; and for an industrial park integrating many production factors, there are many events of starting of large motors and switching of capacitors, and the probability of voltage sag is also greatly increased.

[0053] The park operation management method in the mobile application related to the embodiments of the present application, such as Figure 1As shown, the method is applied to an industrial park comprising a plurality of resident enterprises, and is described by way of example, comprising the following steps 12 to 18. Among them:

[0054] Step 12, synchronizing order information of the resident enterprises undertaking orders through the enterprise terminal configured one-to-one corresponding to each resident enterprise; the order information comprises a product ID, a delivery quantity and a delivery deadline of the undertaken order.

[0055] Specifically, the enterprise terminal can be a mobile terminal or a computer device, facilitating the resident enterprise staff to view and synchronize the order information with the park in real time.

[0056] On the other hand, the product ID can be characteristic information for recording and identifying the characteristics of the product.

[0057] Further, the product ID can be obtained by the enterprise through an agreed coding method with the park, or can be label information directly recording the name and specifications.

[0058] Step 14, obtaining historical capacity data, historical load data and voltage sag tolerance data of the resident enterprises corresponding to the order information; the voltage sag tolerance data is used to represent the voltage sag depth that the resident enterprise can withstand.

[0059] Specifically, the tolerance of sensitive equipment in the resident enterprise to the voltage sag depth, i.e. the voltage sag depth that the resident enterprise can withstand, can be recorded by statistics.

[0060] Further, the sensitive equipment refers to equipment sensitive to voltage sag events.

[0061] In the specific implementation process, the voltage sag tolerance data can be a score of the damage degree of the equipment in the enterprise in the case of historical voltage sag events; the voltage sag tolerance data is obtained according to the score.

[0062] Step 16, predicting the production cycle of the resident enterprise based on the product ID, the delivery quantity in the order information and the historical capacity data of the corresponding resident enterprise;

[0063] Specifically, based on the current delivery quantity and the product ID, how long the resident enterprise needs to produce and complete can be determined by presetting the quantity of the product with the product ID in the historical production, i.e. predicting the production cycle of the resident enterprise.

[0064] Step 18, formulating a production scheduling plan corresponding to each resident enterprise according to the production cycle and the delivery deadline of the order undertaken by each resident enterprise, and the historical load data and the voltage sag tolerance data of the resident enterprise, and feeding back to the enterprise terminal.

[0065] Specifically, in the case of determining the production cycle and the delivery deadline, a production scheduling plan with a certain margin can be made for the enterprise, that is, the enterprise's planned production time can be made at any time period before the delivery deadline.

[0066] Further, based on the historical load data, it is determined whether there is a production cycle of an occupying enterprise that causes the production cycles of multiple occupying enterprises to coincide, and if so, it is determined whether a voltage sag event will occur within the production cycle. Wherein: whether there is a large capacitor or a large motor in the multiple occupying enterprises can be determined; or whether a voltage sag event will occur within the current production cycle can be predicted based on whether a voltage sag event occurred during the historical production process.

[0067] Further, if a voltage sag event will occur, it is determined whether the enterprise will be affected by the voltage sag event according to the voltage sag tolerance data of the enterprise. If so, the planned production time can be changed to avoid the impact of the voltage sag event.

[0068] The park operation management method in the mobile application can be applied to an industrial park containing multiple occupying enterprises. The synchronization of order information and enterprise historical production data, historical load data, and voltage sag tolerance data can be realized through the enterprise terminal corresponding to each occupying enterprise. The production cycle of the occupying enterprise can be predicted according to the goods ID, delivery quantity in the order information, and historical production capacity data of the corresponding occupying enterprise. Then, the corresponding supporting services can be provided for the enterprise according to the predicted production cycle. The supporting services include formulating a production scheduling plan that is not easily affected by voltage sag for the occupying enterprise according to the order delivery deadline of the occupying enterprise. Only through the synchronization of online data, the effect of each occupying enterprise in the entire park working in an orderly manner according to the production scheduling plan is realized, effectively solving the problem that the existing industrial park production and manufacturing efficiency is still low due to the inability of the industrial park to play the advantage of centralized production and manufacturing.

[0069] In one exemplary embodiment, as shown in Figure 2 The goods ID is used to represent the goods category and the corresponding specifications of each category of goods. The historical production capacity data of the occupying enterprise includes the production quantity of various categories of goods in each historical order and the production time of various categories of goods. The steps of predicting the production cycle of the occupying enterprise include the following steps 162 to step 168. Wherein:

[0070] Step 162, based on the obtained multiple historical orders of the occupying enterprise, a corresponding number of samples are obtained.

[0071] Specifically, any one kind of goods with different specifications can also be regarded as different kinds of goods.

[0072] Specifically, each historical order includes a product category, a production quantity of each product category, and a production time of each product category.

[0073] Step 164, the production quantity of each product category in each sample is arranged as a feature variable, and the production time of each product category in the corresponding sample is arranged as a target variable.

[0074] The feature variable and the target variable are used to induce a relationship coefficient between the feature variable and the target variable, and a bias constant.

[0075] Step 166, a linear regression model is fitted by the feature variable and the target variable corresponding to each sample.

[0076] The linear regression model can be calculated by a sufficient number of feature variables and target variables; that is, the values of the relationship coefficient and the bias constant are obtained.

[0077] Step 168, the product category and the corresponding specifications of each product in the order information are taken as the feature variables to be processed in the linear regression model, and the production cycle corresponding to the order information is calculated.

[0078] Based on the trained linear regression model, the corresponding specifications of each product, i.e. the product category, are taken as the feature variables to be processed, and the value of the target variable to be output, i.e. the value of the production cycle corresponding to the order information, is calculated.

[0079] In one exemplary embodiment, as shown in Figure 3 The historical load data includes voltage change data corresponding to the production process of each historical order; the steps of formulating the production scheduling plan corresponding to the resident enterprises include steps 182 to 188. Wherein:

[0080] Step 182, the planned production date is calculated according to the production cycle of each resident enterprise and the delivery deadline in the corresponding order information.

[0081] Specifically, the production scheduling plan can be formulated by considering the delivery deadline first; after obtaining the production cycle of the resident enterprise, if the production cycle does not overlap with the delivery deadline, it means that the order can be delivered on time.

[0082] Step 184, the planned production dates of each resident enterprise are staggered in time sequence to obtain a first production scheduling plan; the staggered arrangement includes that the planned production dates of each resident enterprise have a first preset time difference.

[0083] Specifically, the planned production date is the date when the resident enterprise starts to manufacture the corresponding accepted order.

[0084] Furthermore, since the load will rise sharply for a period of time and then stabilize in the early stages of a company’s operation, such problems can be avoided by using a staggered production schedule to obtain the first production plan.

[0085] Step 186: Based on the historical load data of each resident enterprise, determine whether there is a risk of voltage dips for each resident enterprise in the first production schedule during the corresponding production cycle.

[0086] Specifically, historical load data can be used to determine which other resident companies' production cycles overlap with the target company's, potentially leading to a voltage sag risk. Then, the initial production schedule can be used to confirm whether there are other resident companies whose production cycles overlap with the target company's, thus also posing a voltage sag risk.

[0087] Step 188: If a voltage sag risk is identified, obtain the voltage sag depth value within the corresponding production cycle, and compare the voltage sag tolerance data with the voltage sag depth value to determine whether the resident enterprise can withstand the voltage sag depth; if not, swap the planned production dates of the resident enterprise with voltage sag risk with other resident enterprises with adjacent time sequences to obtain the second production schedule.

[0088] Specifically, if there is a risk of voltage sag, it is necessary to further determine whether the resident enterprises with voltage sag risk contain sensitive equipment, and the voltage sag tolerance depth of the contained sensitive equipment. Voltage sag tolerance data is obtained based on the voltage sag tolerance depth of the sensitive equipment contained in the resident enterprises.

[0089] In one exemplary embodiment, such as Figure 4 As shown, the park operation management method in the mobile application provided in this application further includes the following steps 22 to 26. Wherein:

[0090] Step 22: Calculate the scale of goods for each enterprise's orders based on the types of goods, corresponding specifications, and delivery quantities in the order information of each enterprise.

[0091] Specifically, delivery volume can represent the number of vehicles that do not require the use of a pre-defined cargo space, or the volume of all goods in the order calculated based on the type of goods and their corresponding specifications.

[0092] Step 24: If the order's goods volume exceeds a preset threshold, send a delivery request to the corresponding registered enterprise's terminal.

[0093] Specifically, from the perspective of cost and the number of parking spaces in the park, delivery services can be provided to enterprises whose order volume exceeds a preset threshold, which can facilitate vehicle management and transportation cost control in the park.

[0094] Specifically, the distribution intention can be provided to the settled enterprise through online by sending the distribution request.

[0095] In step 26, in response to receiving the distribution information returned by the enterprise terminal, a vehicle demand order is generated based on the distribution information and the cargo scale, and is sent to the cooperative transportation company; the distribution information includes the distribution destination, the distribution route, and the distribution time.

[0096] After the settled enterprise returns the distribution information through the enterprise terminal, it can be determined that the settled enterprise needs the order of the park distribution undertaking; then by obtaining the distribution demand of the settled enterprise including the distribution destination, the distribution route, and the distribution time, the order of the settled enterprise is generated and sent to the cooperative transportation company.

[0097] In one exemplary embodiment, as shown in Figure 5 Before being sent to the cooperative transportation company, the following steps 32 to 36 are further included. Among them:

[0098] In step 32, the distribution route and the distribution time in the distribution information are extracted and sent to the enterprise terminal of other settled enterprises, and a second preset waiting time for response is set to receive the response information of other settled enterprises, including the to-be-merged distribution route, the to-be-merged distribution time, and the to-be-merged order information.

[0099] Specifically, in order to improve the operation efficiency of the park, the distribution route and the distribution time in the obtained distribution information can be synchronized with other settled enterprises again, and in the case that the distribution route and the distribution time do not conflict, the other settled enterprises can be provided with the service of distribution along the way.

[0100] Specifically, the response waiting time can be one day.

[0101] Among them, the non-conflict of the distribution route can be that the distribution routes between the settled enterprises receiving the distribution information are along the way of the distribution route of the settled enterprise based on the order of the cargo scale greater than the preset threshold. The non-conflict of the distribution time of each settled enterprise means that it is earlier than the delivery deadline considering the transportation time.

[0102] In step 34, in the case that the to-be-merged distribution route is close to the distribution route in the distribution information, and the to-be-merged distribution time is close to the distribution time in the distribution information, the cargo scale of the order of other settled enterprises is calculated according to the to-be-merged order information.

[0103] In step 36, the vehicle demand order is updated based on the response information and the cargo scale of the order of other settled enterprises.

[0104] Specifically, updating the vehicle demand order includes updating the vehicle demand order based on the common delivery route, delivery time and cargo size of the merged order information, and the specific updating manner is not described herein.

[0105] In one exemplary embodiment, the park operation management method in the mobile application further includes the following steps:

[0106] In response to receiving the departure information returned by the transportation company, the departure information is synchronized to the security system of the industrial park; the departure information includes the number of vehicles participating in the delivery and the corresponding vehicle license plate information.

[0107] In order to further manage the park in a regular manner, the departure information returned by the transportation company can be synchronized to the security system, so that the security system can release the vehicle when the number of vehicles participating in the delivery and the corresponding vehicle license plate information of the transportation company are identified, thereby further improving the work efficiency of the park.

[0108] It should be understood that, although each step in the flowchart involved in the above embodiments is displayed in sequence according to the arrow, these steps are not necessarily executed in the order indicated by the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and these steps can be executed in other orders. Moreover, at least part of the steps in the flowchart involved in the above embodiments can include multiple steps or stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily sequential, but can be executed alternately or alternately with at least part of other steps or steps or stages in other steps.

[0109] Based on the same inventive concept, the embodiments of the present application also provide a device for implementing the above-mentioned park operation management in the mobile application. The implementation scheme of the device for solving the problem is similar to the implementation scheme described in the above method, so the specific limitations in one or more park operation management device embodiments in the mobile application provided below can refer to the limitations of the park operation management method in the mobile application described above, and will not be described herein.

[0110] In one exemplary embodiment, as shown in Figure 6 A park operation management device 600 in a mobile application is provided, applied to an industrial park containing a plurality of resident enterprises, and the device includes:

[0111] An information synchronization unit 601 is configured to synchronize order information of an order accepted by a resident enterprise through an enterprise terminal corresponding to each resident enterprise; the order information includes a cargo ID, a delivery quantity and a delivery deadline of the accepted order.

[0112] The acquisition unit 602 is configured to acquire historical production capacity data, historical load data, and voltage sag tolerance data of the in-residence enterprise corresponding to the order information; the voltage sag tolerance data is used to represent the voltage sag depth that the in-residence enterprise can withstand;

[0113] The prediction unit 603 is configured to predict the production cycle of the in-residence enterprise based on the product ID, the delivery quantity in the order information, and the historical production capacity data of the corresponding in-residence enterprise.

[0114] The planning unit 604 is configured to formulate a production scheduling plan corresponding to the in-residence enterprise according to the production cycle and the delivery deadline of each in-residence enterprise to undertake the order, and the historical load data and the voltage sag tolerance data of the in-residence enterprise, and feed back to the enterprise terminal.

[0115] In an exemplary embodiment, the product ID is used to represent the product category and the corresponding specifications of each category of product; the historical production capacity data of the in-residence enterprise includes the production quantity of each category of product in each historical order that has been produced and the production time of each category of product; the prediction unit 603 includes:

[0116] The sample acquisition subunit is configured to obtain a corresponding number of samples based on the acquired multiple historical orders of the in-residence enterprise;

[0117] The variable arrangement subunit is configured to arrange the production quantity of each category of product in each sample as a characteristic variable, and arrange the production time of each category of product in the corresponding sample as a target variable;

[0118] The fitting subunit is configured to fit a linear regression model through the characteristic variable and the target variable corresponding to each sample;

[0119] The first calculation subunit is configured to substitute the product category and the corresponding specifications of each product in the order information as a characteristic variable to be processed into the linear regression model, and calculate to obtain the production cycle corresponding to the order information.

[0120] In an exemplary embodiment, the historical load data includes voltage change data corresponding to the production process of each historical order; the planning unit 604 includes:

[0121] The second calculation subunit is configured to calculate the planned production date according to the production cycle of each in-residence enterprise and the delivery deadline in the corresponding order information;

[0122] The arrangement subunit is configured to stagger the planned production dates of the in-residence enterprises according to the time sequence to obtain a first production scheduling plan; the staggered arrangement includes that the planned production dates of the in-residence enterprises all have a first preset time difference;

[0123] The judgment subunit is configured to judge, according to historical load data of each resident enterprise, whether each resident enterprise in the first production scheduling plan has a voltage sag risk in a corresponding production cycle;

[0124] The modification subunit is configured to, in the case that it is judged that there is a voltage sag risk, acquire a value of voltage sag depth in the corresponding production cycle, and judge whether the resident enterprise can withstand the voltage sag depth by comparing the voltage sag tolerance data with the value of the voltage sag depth; if not, the resident enterprise with the voltage sag risk and the planned production date of other resident enterprises adjacent in time sequence are exchanged to obtain the second production scheduling plan.

[0125] In one exemplary embodiment, the park operation management device 600 in the mobile application further comprises:

[0126] The calculation unit is configured to calculate, according to the type of goods, the corresponding specifications of each type of goods and the delivery quantity in the order information of each resident enterprise, the goods scale of the resident enterprise undertaking the order;

[0127] The request sending unit is configured to, in the case that the goods scale of the order is greater than a preset threshold, send distribution request information to the enterprise terminal of the corresponding resident enterprise;

[0128] The distribution unit is configured to, in response to receiving the distribution information returned by the enterprise terminal, generate a vehicle demand order based on the distribution information and the goods scale, and send the vehicle demand order to a cooperative transportation company; the distribution information includes a distribution destination, a distribution route and a distribution time.

[0129] In one exemplary embodiment, the park operation management device 600 in the mobile application further comprises:

[0130] The extraction unit is configured to extract the distribution route and the distribution time in the distribution information, and send the distribution route and the distribution time to the enterprise terminal of other resident enterprises, and set a second preset time length of an answer waiting time to receive answer information of other resident enterprises; the answer information includes a to-be-merged distribution route, a to-be-merged distribution time and to-be-merged order information;

[0131] The merging unit is configured to, in the case that the to-be-merged distribution route is close to the distribution route in the distribution information, and the to-be-merged distribution time is close to the distribution time in the distribution information, calculate the goods scale of other resident enterprises undertaking the order according to the to-be-merged order information;

[0132] The update unit is configured to update the vehicle demand order based on the answer information and the goods scale of other resident enterprises undertaking the order.

[0133] In an exemplary embodiment, the information synchronization unit is further configured to synchronize the departure information to a security system of the industrial park in response to receiving the departure information returned by the transportation company; the departure information comprises a number of vehicles participating in the delivery and corresponding vehicle license plate information.

[0134] The modules in the park operation management device in the mobile application can be implemented by software, hardware, or a combination thereof, in whole or in part. The modules can be embedded in or independent of a processor in a computer device in hardware form, or stored in a memory in the computer device in software form, so as to be called and executed by the processor to perform the operations corresponding to the modules.

[0135] Another aspect of the present application also provides a park operation management system in a mobile application, applied to an industrial park comprising a plurality of resident enterprises, the system comprising an enterprise terminal and a server:

[0136] The enterprise terminal is configured to synchronize order information of the resident enterprise and historical production capacity data, historical load data, and voltage sag tolerance data of the resident enterprise to the server, and receive a production scheduling plan corresponding to the resident enterprise fed back by the server.

[0137] The server is configured to synchronize the order information of the resident enterprise through the enterprise terminal configured one-to-one corresponding to each resident enterprise; the order information comprises a product ID, a delivery quantity, and a delivery deadline of an order accepted by the resident enterprise; obtain historical production capacity data, historical load data, and voltage sag tolerance data of the resident enterprise corresponding to the order information; the voltage sag tolerance data is used to represent a voltage sag depth that the corresponding enterprise can withstand; predict a production cycle of the resident enterprise based on the product ID, the delivery quantity in the order information, and the historical production capacity data of the corresponding resident enterprise; and formulate a production scheduling plan corresponding to the resident enterprise according to the production cycle of each resident enterprise, the delivery deadline in the corresponding order information, the historical load data, and the voltage sag tolerance data, and feed back to the enterprise terminal.

[0138] Specifically, the server can be arranged in a corresponding management room of the industrial park, and is configured to overall plan and coordinate the resident enterprises corresponding to each enterprise terminal.

[0139] In one embodiment, the system further comprises:

[0140] The security system is connected with the server and the enterprise terminal, and is configured to identify and confirm pedestrians or vehicles entering the industrial park, and send identity verification information to the enterprise terminal of the resident enterprise associated with the pedestrians or vehicles in the case of unsuccessful identification and confirmation, and further configured to send alarm information to the server in the case of unsuccessful identity verification of the pedestrians or vehicles by the enterprise terminal.

[0141] Specifically, the face recognition can enter the industrial park by setting the form of the camera, or directly recognize the license plate number of the vehicle entering the industrial park; if it is not the staff of the industrial park or the staff of the stationed enterprise, it is defined as a visitor, and is required to fill in the visitor information; the visitor information includes the name of the stationed enterprise to be visited.

[0142] Identity verification information is sent to the enterprise terminal of the stationed enterprise based on the visitor information, and alarm information is sent to the server in the case that the identity of the pedestrian or vehicle is not successfully verified by the enterprise terminal.

[0143] In one embodiment, a computer device is also provided, including a memory and a processor, the memory stores a computer program, and the processor implements the steps of the park operation management method in the mobile application provided by the first aspect of the present application when executing the computer program.

[0144] In one embodiment, a computer readable storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the steps of the above method.

[0145] In one embodiment, a computer program product is provided, including a computer program, and the computer program is executed by a processor to implement the steps of the above method.

[0146] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (Read-Only Memory, ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetoresistive random access memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric memory (Ferroelectric Random Access Memory, FRAM), phase change memory (Phase Change Memory, PCM), graphene memory, etc. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, etc. As an illustration but not limitation, RAM can be in various forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., without being limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., without being limited thereto.

[0147] Any combination of the technical features of the above embodiments can be made. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described, however, as long as the combination of the technical features does not exist contradictory, it should be considered as the scope of the present application.

[0148] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A park operation management method in a mobile application, characterized by, The method is applied to an industrial park comprising a plurality of resident enterprises, and comprises the following steps: Synchronizing order information of orders accepted by the resident enterprises through enterprise terminals configured in one-to-one correspondence with the resident enterprises; the order information comprises a product ID, a delivery quantity, and a delivery deadline of the accepted orders; Obtaining historical production capacity data, historical load data, and voltage sag tolerance data of the resident enterprises corresponding to the order information; the voltage sag tolerance data is used to represent a voltage sag depth that can be tolerated by the resident enterprises; Predicting a production cycle of the resident enterprises based on the product ID, the delivery quantity, and the historical production capacity data of the corresponding resident enterprises in the order information; Formulating a production scheduling plan corresponding to the resident enterprises according to the production cycle and the delivery deadline of each order accepted by the resident enterprises, and the historical load data and the voltage sag tolerance data of the resident enterprises, and feeding back to the enterprise terminals; the historical load data comprises voltage change data corresponding to a production process of each historical order; the step of formulating the production scheduling plan corresponding to the resident enterprises comprises the following steps: Calculating a planned production date according to the production cycle and the delivery deadline in the corresponding order information of each resident enterprise; Arranging the planned production dates of the resident enterprises in a staggered manner according to a time sequence to obtain a first production scheduling plan; the staggered arrangement comprises that the planned production dates of the resident enterprises all have a time difference of a first preset time length; Judging whether each resident enterprise in the first production scheduling plan has a voltage sag risk in the corresponding production cycle according to the historical load data of the resident enterprises; In the case where it is judged that there is a voltage sag risk, obtaining a value of a voltage sag depth in the corresponding production cycle, and comparing the voltage sag tolerance data with the value of the voltage sag depth to judge whether the resident enterprise can tolerate the voltage sag depth; if not, the planned production dates of the resident enterprise with the voltage sag risk and other resident enterprises adjacent to the time sequence are interchanged to obtain a second production scheduling plan.

2. The park operation management method in a mobile application according to claim 1, characterized by, The product ID is used to represent a product category and a corresponding specification of each product category; the historical production capacity data of the resident enterprises comprises a production quantity of each product category in each historical order that has been produced and a production time of each product category; The step of predicting the production cycle of the resident enterprises comprises the following steps: Obtaining a corresponding number of samples based on a plurality of historical orders of the resident enterprises; Arranging the production quantity of each product category in each sample as a feature variable, and arranging the production time of the product category in the corresponding sample as a target variable; Fitting a linear regression model through the feature variable and the target variable corresponding to each sample; Substituting the product category and the corresponding specification of each product in the order information as a feature variable to be processed into the linear regression model to calculate a production cycle corresponding to the order information.

3. The park operation management method in a mobile application according to claim 2, characterized by, The method further comprises the following steps: According to the order information of each said enterprise, the corresponding specification of each product and the delivery quantity, the product scale of the said enterprise is calculated; If the product scale of the said order is greater than a preset threshold, a delivery request information is sent to the enterprise terminal of the said enterprise; In response to the delivery information returned by the enterprise terminal, a vehicle demand order is generated based on the delivery information and the product scale, and is sent to a cooperative transportation company; the delivery information includes the delivery destination, the delivery route and the delivery time.

4. The park operation management method in a mobile application according to claim 3, characterized by, Before the said sending to the cooperative transportation company, it further includes: The delivery route and the delivery time in the delivery information are extracted and sent to the enterprise terminal of other said enterprises, and a second preset waiting time is set to receive the response information of other said enterprises, which includes the to-be-merged delivery route, the to-be-merged delivery time and the to-be-merged order information; If the to-be-merged delivery route is close to the delivery route in the delivery information, and the to-be-merged delivery time is close to the delivery time in the delivery information, the product scale of other said enterprises is calculated according to the to-be-merged order information; The vehicle demand order is updated based on the response information and the product scale of other said enterprises.

5. The park operation management method in a mobile application according to claim 3, characterized by, The method further includes: In response to the departure information returned by the transportation company, the departure information is synchronized to the security system of the industrial park; the departure information includes the number of vehicles participating in the delivery and the corresponding vehicle license plate information.

6. A park operation management system in a mobile application, characterized by, The system is applied to an industrial park including a plurality of enterprises, and includes an enterprise terminal and a server: The enterprise terminal is used to synchronize the order information of the said enterprise and the historical production capacity data, historical load data and voltage sag tolerance data of the said enterprise to the server, and is also used to receive the production scheduling plan corresponding to the said enterprise fed back by the server; The server is used to synchronize the order information of the said enterprise through the enterprise terminal corresponding to each said enterprise; The order information includes the product ID, the delivery quantity and the delivery deadline of the said enterprise, the historical production capacity data, the historical load data and the voltage sag tolerance data of the said enterprise corresponding to the order information are obtained, the voltage sag tolerance data is used to represent the voltage sag depth that the corresponding enterprise can withstand, the production cycle of the said enterprise is predicted based on the product ID, the delivery quantity in the order information and the historical production capacity data of the corresponding said enterprise, and the production scheduling plan corresponding to the said enterprise is formulated according to the production cycle of each said enterprise, the delivery deadline in the corresponding said order information, the historical load data and the voltage sag tolerance data, and is fed back to the enterprise terminal; the historical load data includes the voltage change data corresponding to the production process of each historical order; The step of formulating the production scheduling plan corresponding to the said enterprise includes: According to the production cycle of each said resident enterprise and the delivery deadline in the corresponding order information, the planned production date is calculated; The planned production dates of each said resident enterprise are staggered in time sequence to obtain a first production scheduling plan; the staggered arrangement includes that the planned production dates of each said resident enterprise all have a time difference of a first preset length; According to the historical load data of each said resident enterprise, it is judged whether each said resident enterprise in the first production scheduling plan has a voltage sag risk in the corresponding production cycle; In the case of judging that there is a voltage sag risk, the value of the voltage sag depth in the corresponding production cycle is obtained, and whether the resident enterprise can withstand the voltage sag depth is judged by comparing the voltage sag tolerance data with the value of the voltage sag depth; if not, the planned production dates of the resident enterprise with voltage sag risk and other said resident enterprises adjacent in the time sequence are exchanged to obtain a second production scheduling plan.

7. The park operation management system in a mobile application according to claim 6, wherein The system further comprises: A security system connected with the server and the enterprise terminal, used for identifying and confirming pedestrians or vehicles entering the industrial park, and sending identity verification information to the enterprise terminal of the resident enterprise associated with the pedestrians or vehicles in the case of unsuccessful identification and confirmation, and further used for sending alarm information to the server in the case that the identity of the pedestrians or vehicles is not successfully verified by the enterprise terminal.

8. A park operation management apparatus in a mobile application, characterized by comprising: The device is applied to an industrial park comprising a plurality of resident enterprises, and the device comprises: An information synchronization unit configured to synchronize order information of orders accepted by each said resident enterprise through an enterprise terminal corresponding to each said resident enterprise; the order information comprises a product ID, a delivery quantity, and a delivery deadline of the accepted order; An acquisition unit configured to acquire historical capacity data, historical load data, and voltage sag tolerance data of each said resident enterprise corresponding to the order information; the voltage sag tolerance data is used to represent the voltage sag depth that can be tolerated by the resident enterprise; A prediction unit configured to predict the production cycle of each said resident enterprise based on the product ID, the delivery quantity in the order information, and the historical capacity data of the corresponding said resident enterprise; A planning unit configured to develop a production scheduling plan corresponding to each said resident enterprise based on the production cycle and the delivery deadline of each said resident enterprise accepting orders, and historical load data and voltage sag tolerance data of the said resident enterprise, and feed back to the enterprise terminal; the historical load data comprises voltage change data corresponding to the production process of each historical order; the step of developing a production scheduling plan corresponding to each said resident enterprise comprises: According to the production cycle of each said resident enterprise and the delivery deadline in the corresponding order information, the planned production date is calculated; The planned production dates of each said resident enterprise are staggered in time sequence to obtain a first production scheduling plan; the staggered arrangement includes that the planned production dates of each said resident enterprise all have a time difference of a first preset length; According to the historical load data of each said resident enterprise, it is judged whether each said resident enterprise in the first production scheduling plan has a voltage sag risk in the corresponding production cycle; According to historical load data of each of the resident enterprises, it is determined whether each of the resident enterprises in the first production scheduling plan has a voltage sag risk in a corresponding production cycle; In a case where it is determined that there is a voltage sag risk, a value of a voltage sag depth in the corresponding production cycle is obtained, and it is determined whether the resident enterprise can withstand the voltage sag depth by comparing the voltage sag tolerance data with the value of the voltage sag depth. If not, the resident enterprise with the voltage sag risk and the planned production date of other resident enterprises adjacent to the time sequence are exchanged to obtain a second production scheduling plan. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-8 when the computer program is executed by the processor. The processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program.

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