Monitoring and early warning method and system for synchronous prevention of engineering project

Abstract

The invention discloses a monitoring and early warning method and system for synchronous prevention of an engineering project, and belongs to the technical field of engineering management.The method comprises the steps that plan data of the engineering project are obtained, model parameters of a pre-built monitoring and early warning model are adjusted based on the plan data, the monitoring and early warning model is determined, and the monitoring and early warning model is used for synchronous prevention of the engineering project. Sampling period of engineering project progress data of each stage in the whole process of the engineering project; sampling the engineering project progress data of each stage in the sampling period through the monitoring early warning model, and judging whether the sampled engineering project progress data meets a preset threshold value or not; and when it is determined that the sampled engineering project progress data does not meet the preset threshold value or the engineering project progress data is not obtained through sampling, early warning is given out. According to the implementation of the invention, the engineering project can be effectively monitored and managed, so that effective construction of the engineering project can be ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of engineering management, and more specifically, to a monitoring and early warning method and system for synchronous prevention of engineering projects. Background Art

[0002] At present, due to the long implementation cycle of engineering projects, the engineering projects cannot be effectively monitored. Therefore, untimely monitoring will lead to the extension of the project cycle or engineering problems. Therefore, effective monitoring projects are a problem that needs to be solved at present. Summary of the invention

[0003] In view of the above problems, the present invention proposes a monitoring and early warning method for synchronous prevention of engineering projects, comprising:

[0004] Acquire the planned data of the engineering project, adjust the model parameters of the pre-built monitoring and early warning model based on the planned data, and determine the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage during the whole process of the engineering project;

[0005] Through the monitoring and early warning model, the project progress data of each stage is sampled within the sampling period, and it is determined whether the sampled project progress data meets the preset threshold;

[0006] When it is determined that the sampled project progress data does not meet the preset threshold or the project progress data is not sampled, an early warning is issued.

[0007] Optional, planning data, including: stage requirement data, stage management data and related contract or document data for multiple stages in the entire process of the project.

[0008] Optionally, build a monitoring and early warning model in advance, including:

[0009] Acquire historical planning data of historical engineering projects, use the historical planning data as input data, input it into a pre-built network model, extract data features of the historical planning data through a data feature extraction module of the network model, and determine engineering project requirements of the historical engineering projects based on the data features, set work progress thresholds for each stage in the entire process of the historical engineering projects based on the engineering project requirements, and adjust parameters of a monitoring and early warning module in the network model based on the work progress thresholds to generate a monitoring and early warning model.

[0010] Optional, multiple stages in the entire process of the engineering project, including: project approval stage, construction preparation stage, construction stage, project handover stage and project completion stage.

[0011] Optionally, based on the planning data, model parameters of a pre-built monitoring and early warning model are adjusted, including: inputting the planning data into the monitoring and early warning model, extracting data features of the technical data based on the monitoring and early warning model, and determining the engineering project requirements corresponding to the planning data according to the data features, and determining the work progress thresholds of each stage in the entire process of the engineering project based on the engineering project requirements, and adjusting the threshold parameters of the monitoring and early warning model based on the work progress thresholds.

[0012] Optionally, the monitoring and early warning model is determined to sample the progress data of the project at each stage during the entire process of the project, including:

[0013] Based on the monitoring and early warning model, according to the requirements of the project, the start and end times of each stage in the whole process of the project are determined, and according to the start and end times, the sampling period of the project progress data in each stage in the whole process of the project is determined.

[0014] Optionally, if the start and end time is less than one month, the sampling period is in days or weeks; if the start and end time is less than six months, the sampling period is in weeks or months; if the start and end time exceeds six months, the sampling period is in months or quarters.

[0015] Optionally, the monitoring and early warning model samples the project progress data at each stage within the sampling period, and determines whether the sampled project progress data meets a preset threshold, including:

[0016] By monitoring the early warning model, the project progress data of each stage is obtained during the sampling period, and the project progress data is preliminarily screened to determine whether the project progress data meets the sampling requirements. If not, a data error warning is issued, and a data rectification prompt is issued at the same time. If it meets the requirements, the characteristic data of the project progress data is extracted. If the value corresponding to the project progress in the characteristic data falls within the preset threshold, the requirements are met.

[0017] Optionally, the method further includes:

[0018] When the work progress at any stage in the entire process of the project does not meet the requirements of the project or the planned data is updated, the model parameters of the monitoring and early warning model are adjusted according to the work progress.

[0019] Optionally, the method further includes:

[0020] When the characteristic data of the project progress data is extracted through the monitoring and early warning model, the characteristic data is identified to determine whether there are any errors in the project progress. If so, an error warning is issued, and post-error rectification suggestions are given according to the project requirements.

[0021] On the other hand, the present invention also proposes a monitoring and early warning system for synchronous prevention of engineering projects, comprising:

[0022] The initialization unit is used to obtain the planned data of the engineering project, adjust the model parameters of the pre-built monitoring and early warning model based on the planned data, and determine the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage during the whole process of the engineering project;

[0023] A data sampling unit, used to sample the project progress data of each stage within the sampling period through the monitoring and early warning model, and determine whether the sampled project progress data meets a preset threshold;

[0024] The early warning unit is used to issue an early warning when it is determined that the sampled project progress data does not meet a preset threshold or the project progress data is not sampled.

[0025] Optional, planning data, including: stage requirement data, stage management data and related contract or document data for multiple stages in the entire process of the project.

[0026] Optionally, build a monitoring and early warning model in advance, including:

[0027] Acquire historical planning data of historical engineering projects, use the historical planning data as input data, input it into a pre-built network model, extract data features of the historical planning data through a data feature extraction module of the network model, and determine engineering project requirements of the historical engineering projects based on the data features, set work progress thresholds for each stage in the entire process of the historical engineering projects based on the engineering project requirements, and adjust parameters of a monitoring and early warning module in the network model based on the work progress thresholds to generate a monitoring and early warning model.

[0028] Optional, multiple stages in the entire process of the engineering project, including: project approval stage, construction preparation stage, construction stage, project handover stage and project completion stage.

[0029] Optionally, based on the planning data, model parameters of a pre-built monitoring and early warning model are adjusted, including: inputting the planning data into the monitoring and early warning model, extracting data features of the technical data based on the monitoring and early warning model, and determining the engineering project requirements corresponding to the planning data according to the data features, and determining the work progress thresholds of each stage in the entire process of the engineering project based on the engineering project requirements, and adjusting the threshold parameters of the monitoring and early warning model based on the work progress thresholds.

[0030] Optionally, the monitoring and early warning model is determined to sample the progress data of the project at each stage during the entire process of the project, including:

[0031] Based on the monitoring and early warning model, according to the requirements of the project, the start and end times of each stage in the whole process of the project are determined, and according to the start and end times, the sampling period of the project progress data in each stage in the whole process of the project is determined.

[0032] Optionally, if the start and end time is less than one month, the sampling period is in days or weeks; if the start and end time is less than six months, the sampling period is in weeks or months; if the start and end time exceeds six months, the sampling period is in months or quarters.

[0033] Optionally, the monitoring and early warning model samples the project progress data at each stage within the sampling period, and determines whether the sampled project progress data meets a preset threshold, including:

[0034] By monitoring the early warning model, the project progress data of each stage is obtained during the sampling period, and the project progress data is preliminarily screened to determine whether the project progress data meets the sampling requirements. If not, a data error warning is issued, and a data rectification prompt is issued at the same time. If it meets the requirements, the characteristic data of the project progress data is extracted. If the value corresponding to the project progress in the characteristic data falls within the preset threshold, the requirements are met.

[0035] Optionally, the initialization unit is also used to:

[0036] When the work progress at any stage in the entire process of the project does not meet the requirements of the project or the planned data is updated, the model parameters of the monitoring and early warning model are adjusted according to the work progress.

[0037] Optionally, the early warning unit is also used to:

[0038] When the characteristic data of the project progress data is extracted through the monitoring and early warning model, the characteristic data is identified to determine whether there are any errors in the project progress. If so, an error warning is issued, and post-error rectification suggestions are given according to the project requirements.

[0039] In yet another aspect, the present invention further provides a computing device, comprising: one or more processors;

[0040] a processor for executing one or more programs;

[0041] When the one or more programs are executed by the one or more processors, the above-described method is implemented.

[0042] In yet another aspect, the present invention further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed, the method described above is implemented.

[0043] Compared with the prior art, the present invention has the following beneficial effects:

[0044] The present invention provides a monitoring and early warning method for synchronous prevention of engineering projects, comprising: obtaining the planned data of the engineering project, adjusting the model parameters of a pre-built monitoring and early warning model based on the planned data, and determining the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage in the whole process of the engineering project; sampling the progress data of the engineering project at each stage within the sampling period through the monitoring and early warning model, and judging whether the sampled progress data of the engineering project meets a preset threshold; when it is determined that the sampled progress data of the engineering project does not meet the preset threshold or the progress data of the engineering project is not sampled, issuing an early warning. The implementation of the present invention can effectively monitor and manage the engineering project, thereby ensuring the effective construction of the engineering project. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of the method of the present invention;

[0046] Figure 2 It is a structural diagram of the system of the present invention. DETAILED DESCRIPTION

[0047] Now, exemplary embodiments of the present invention are described with reference to the accompanying drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. These embodiments are provided to disclose the present invention in detail and completely and to fully convey the scope of the present invention to those skilled in the art. The terms used in the exemplary embodiments shown in the accompanying drawings are not intended to limit the present invention. In the accompanying drawings, the same units / elements are marked with the same reference numerals.

[0048] Unless otherwise specified, the terms (including technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it is understood that the terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.

[0049] Embodiment 1:

[0050] The present invention proposes a monitoring and early warning method for the whole process of an engineering project, or can be called a monitoring and early warning method for synchronous prevention of an engineering project, such as Figure 1 As shown, including:

[0051] Step 1: Obtain the planned data of the engineering project, adjust the model parameters of the pre-built monitoring and early warning model based on the planned data, and determine the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage during the whole process of the engineering project;

[0052] Step 2: Sampling the project progress data of each stage within the sampling period through the monitoring and early warning model, and determining whether the sampled project progress data meets a preset threshold;

[0053] Step 3: When it is determined that the sampled project progress data does not meet the preset threshold or the project progress data is not sampled, an early warning is issued.

[0054] By issuing an early warning when it is determined that the sampled project progress data does not meet a preset threshold or no project progress data has been sampled, the technical solution of the present application achieves monitoring and early warning for synchronous prevention of project progress.

[0055] The planning data includes: stage requirement data, stage management data and related contract or document data for multiple stages in the entire process of the project.

[0056] Among them, the monitoring and early warning model is built in advance, including:

[0057] Acquire historical planning data of historical engineering projects, use the historical planning data as input data, input it into a pre-built network model, extract data features of the historical planning data through a data feature extraction module of the network model, and determine engineering project requirements of the historical engineering projects based on the data features, set work progress thresholds for each stage in the entire process of the historical engineering projects based on the engineering project requirements, and adjust parameters of a monitoring and early warning module in the network model based on the work progress thresholds to generate a monitoring and early warning model.

[0058] Among them, there are multiple stages in the entire process of the engineering project, including: project approval stage, construction preparation stage, construction stage, project handover stage and project completion stage.

[0059] Among them, based on the planning data, the model parameters of the pre-built monitoring and early warning model are adjusted, including: inputting the planning data into the monitoring and early warning model, extracting the data features of the technical data based on the monitoring and early warning model, and determining the engineering project requirements corresponding to the planning data according to the data features, and determining the work progress thresholds of each stage in the whole process of the engineering project based on the engineering project requirements, and adjusting the threshold parameters of the monitoring and early warning model based on the work progress thresholds.

[0060] The monitoring and early warning model is determined to sample the progress data of the project at each stage during the entire process of the project, including:

[0061] Based on the monitoring and early warning model, according to the requirements of the project, the start and end times of each stage in the whole process of the project are determined, and according to the start and end times, the sampling period of the project progress data in each stage in the whole process of the project is determined.

[0062] Among them, if the start and end time is less than one month, the sampling period is in days or weeks; if the start and end time is less than six months, the sampling period is in weeks or months; if the start and end time exceeds six months, the sampling period is in months or quarters.

[0063] Among them, through the monitoring and early warning model, within the sampling period, the project progress data of each stage is sampled, and it is determined whether the sampled project progress data meets the preset threshold, including:

[0064] By monitoring the early warning model, the project progress data of each stage is obtained during the sampling period, and the project progress data is preliminarily screened to determine whether the project progress data meets the sampling requirements. If not, a data error warning is issued, and a data rectification prompt is issued at the same time. If it meets the requirements, the characteristic data of the project progress data is extracted. If the value corresponding to the project progress in the characteristic data falls within the preset threshold, the requirements are met.

[0065] The method further includes:

[0066] When the work progress at any stage in the entire process of the project does not meet the requirements of the project or the planned data is updated, the model parameters of the monitoring and early warning model are adjusted according to the work progress.

[0067] The method further includes:

[0068] When the characteristic data of the project progress data is extracted through the monitoring and early warning model, the characteristic data is identified to determine whether there are any errors in the project progress. If so, an error warning is issued, and post-error rectification suggestions are given according to the project requirements.

[0069] Embodiment 2:

[0070] On the other hand, the present invention also proposes a monitoring and early warning system 200 for the entire process of an engineering project, or can be called a monitoring and early warning system 200 for synchronous prevention of an engineering project, such as Figure 2 As shown, including:

[0071] The initialization unit 201 is used to obtain the planned data of the engineering project, adjust the model parameters of the pre-built monitoring and early warning model based on the planned data, and determine the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage during the whole process of the engineering project;

[0072] The data sampling unit 202 is used to sample the project progress data of each stage within the sampling period through the monitoring and early warning model, and determine whether the sampled project progress data meets a preset threshold;

[0073] The early warning unit 203 is used to issue an early warning when it is determined that the sampled project progress data does not meet a preset threshold or no project progress data is sampled.

[0074] The planning data includes: stage requirement data, stage management data and related contract or document data for multiple stages in the entire process of the project.

[0075] Among them, the monitoring and early warning model is built in advance, including:

[0076] Acquire historical planning data of historical engineering projects, use the historical planning data as input data, input it into a pre-built network model, extract data features of the historical planning data through a data feature extraction module of the network model, and determine engineering project requirements of the historical engineering projects based on the data features, set work progress thresholds for each stage in the entire process of the historical engineering projects based on the engineering project requirements, and adjust parameters of a monitoring and early warning module in the network model based on the work progress thresholds to generate a monitoring and early warning model.

[0077] Among them, there are multiple stages in the entire process of the engineering project, including: project approval stage, construction preparation stage, construction stage, project handover stage and project completion stage.

[0078] Among them, based on the planning data, the model parameters of the pre-built monitoring and early warning model are adjusted, including: inputting the planning data into the monitoring and early warning model, extracting the data features of the technical data based on the monitoring and early warning model, and determining the engineering project requirements corresponding to the planning data according to the data features, and determining the work progress thresholds of each stage in the whole process of the engineering project based on the engineering project requirements, and adjusting the threshold parameters of the monitoring and early warning model based on the work progress thresholds.

[0079] The monitoring and early warning model is determined to sample the progress data of the project at each stage during the entire process of the project, including:

[0080] Based on the monitoring and early warning model, according to the requirements of the project, the start and end times of each stage in the whole process of the project are determined, and according to the start and end times, the sampling period of the project progress data in each stage in the whole process of the project is determined.

[0081] Among them, if the start and end time is less than one month, the sampling period is in days or weeks; if the start and end time is less than six months, the sampling period is in weeks or months; if the start and end time exceeds six months, the sampling period is in months or quarters.

[0082] Among them, through the monitoring and early warning model, within the sampling period, the project progress data of each stage is sampled, and it is determined whether the sampled project progress data meets the preset threshold, including:

[0083] By monitoring the early warning model, the project progress data of each stage is obtained during the sampling period, and the project progress data is preliminarily screened to determine whether the project progress data meets the sampling requirements. If not, a data error warning is issued, and a data rectification prompt is issued at the same time. If it meets the requirements, the characteristic data of the project progress data is extracted. If the value corresponding to the project progress in the characteristic data falls within the preset threshold, the requirements are met.

[0084] The initial unit 201 is also used for:

[0085] When the work progress at any stage in the entire process of the project does not meet the requirements of the project or the planned data is updated, the model parameters of the monitoring and early warning model are adjusted according to the work progress.

[0086] The early warning unit 203 is also used for:

[0087] When the characteristic data of the project progress data is extracted through the monitoring and early warning model, the characteristic data is identified to determine whether there are any errors in the project progress. If so, an error warning is issued, and post-error rectification suggestions are given according to the project requirements.

[0088] The implementation of the present invention can effectively monitor and manage engineering projects, thereby ensuring the effective construction of engineering projects.

[0089] Embodiment 3:

[0090] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding functions, so as to implement the steps of the method in the above embodiment.

[0091] Embodiment 4:

[0092] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both a built-in storage medium in a computer device and an extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the method in the above embodiment.

[0093] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. The schemes in the embodiments of the present invention may be implemented in various computer languages, for example, object-oriented programming language Java and literal scripting language JavaScript, etc.

[0094] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0095] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0096] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0097] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0098] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A monitoring and early warning method for synchronous prevention of engineering projects, characterized in that: include: Acquire the planned data of the engineering project, adjust the model parameters of the pre-built monitoring and early warning model based on the planned data, and determine the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage during the whole process of the engineering project; Through the monitoring and early warning model, the project progress data of each stage is sampled within the sampling period, and it is determined whether the sampled project progress data meets the preset threshold; When it is determined that the sampled project progress data does not meet the preset threshold or the project progress data is not sampled, an early warning is issued.

2. The monitoring and early warning method according to claim 1, characterized in that: The planning data include: stage requirement data, stage management data and relevant contract or document data of multiple stages in the whole process of the engineering project.

3. The monitoring and early warning method according to claim 1, characterized in that: Pre-build monitoring and early warning models, including: Acquire historical planning data of historical engineering projects, use the historical planning data as input data, input it into a pre-built network model, extract data features of the historical planning data through a data feature extraction module of the network model, and determine engineering project requirements of the historical engineering projects based on the data features, set work progress thresholds for each stage in the entire process of the historical engineering projects based on the engineering project requirements, and adjust parameters of a monitoring and early warning module in the network model based on the work progress thresholds to generate a monitoring and early warning model.

4. The monitoring and early warning method according to claim 1, characterized in that: There are multiple stages in the entire process of an engineering project, including: project approval stage, construction preparation stage, construction stage, project handover stage and project completion stage.

5. The monitoring and early warning method according to claim 1, characterized in that: The method of adjusting the model parameters of a pre-built monitoring and early warning model based on the plan data includes: inputting the plan data into the monitoring and early warning model, extracting data features of the technical data based on the monitoring and early warning model, and determining the engineering project requirements corresponding to the plan data according to the data features, and determining the work progress thresholds of each stage in the entire process of the engineering project based on the engineering project requirements, and adjusting the threshold parameters of the monitoring and early warning model based on the work progress thresholds.

6. The monitoring and early warning method according to claim 1, characterized in that: The step of determining the monitoring and early warning model and sampling the progress data of the project at each stage during the whole process of the project includes: Based on the monitoring and early warning model, according to the requirements of the project, the start and end times of each stage in the whole process of the project are determined, and according to the start and end times, the sampling period of the project progress data in each stage in the whole process of the project is determined.

7. The monitoring and early warning method according to claim 6, characterized in that: If the start and end time is less than one month, the sampling period is in days or weeks. If the start and end time is less than six months, the sampling period is in weeks or months. If the start and end time exceeds six months, the sampling period is in months or quarters.

8. A monitoring and early warning system for synchronous prevention of engineering projects, characterized in that: include: The initialization unit is used to obtain the planned data of the engineering project, adjust the model parameters of the pre-built monitoring and early warning model based on the planned data, and determine the sampling period of the monitoring and early warning model for the progress data of the engineering project at each stage during the whole process of the engineering project; A data sampling unit, used to sample the project progress data of each stage within the sampling period through the monitoring and early warning model, and determine whether the sampled project progress data meets a preset threshold; The early warning unit is used to issue an early warning when it is determined that the sampled project progress data does not meet a preset threshold or the project progress data is not sampled.

9. A computer device, characterized in that: include: one or more processors; a processor for executing one or more programs; When the one or more programs are executed by the one or more processors, the monitoring and early warning method as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the monitoring and early warning method as described in any one of claims 1-7 is implemented.

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